Initial commit
This commit is contained in:
Emil Shanaty
Executable
+802
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against_bug,against_dark,against_dragon,against_electric,against_fairy,against_fight,against_fire,against_flying,against_ghost,against_grass,against_ground,against_ice,against_normal,against_poison,against_psychic,against_rock,against_steel,against_water,attack,base_egg_steps,base_happiness,base_total,capture_rate,classification,defense,experience_growth,height_m,hp,name,percentage_male,type1,sp_attack,sp_defense,speed,weight_kg,generation,is_legendary
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1,1,1,0.5,0.5,0.5,2,2,1,0.25,1,2,1,1,2,1,1,0.5,49,5120,70,318,45,Seed Pokémon,49,1059860,0.7,45,Bulbasaur,88.1,grass,65,65,45,6.9,1,0
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1,1,1,0.5,0.5,0.5,2,2,1,0.25,1,2,1,1,2,1,1,0.5,62,5120,70,405,45,Seed Pokémon,63,1059860,1,60,Ivysaur,88.1,grass,80,80,60,13,1,0
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1,1,1,0.5,0.5,0.5,2,2,1,0.25,1,2,1,1,2,1,1,0.5,100,5120,70,625,45,Seed Pokémon,123,1059860,2,80,Venusaur,88.1,grass,122,120,80,100,1,0
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0.5,1,1,1,0.5,1,0.5,1,1,0.5,2,0.5,1,1,1,2,0.5,2,52,5120,70,309,45,Lizard Pokémon,43,1059860,0.6,39,Charmander,88.1,fire,60,50,65,8.5,1,0
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0.5,1,1,1,0.5,1,0.5,1,1,0.5,2,0.5,1,1,1,2,0.5,2,64,5120,70,405,45,Flame Pokémon,58,1059860,1.1,58,Charmeleon,88.1,fire,80,65,80,19,1,0
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0.25,1,1,2,0.5,0.5,0.5,1,1,0.25,0,1,1,1,1,4,0.5,2,104,5120,70,634,45,Flame Pokémon,78,1059860,1.7,78,Charizard,88.1,fire,159,115,100,90.5,1,0
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1,1,1,2,1,1,0.5,1,1,2,1,0.5,1,1,1,1,0.5,0.5,48,5120,70,314,45,Tiny Turtle Pokémon,65,1059860,0.5,44,Squirtle,88.1,water,50,64,43,9,1,0
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1,1,1,2,1,1,0.5,1,1,2,1,0.5,1,1,1,1,0.5,0.5,63,5120,70,405,45,Turtle Pokémon,80,1059860,1,59,Wartortle,88.1,water,65,80,58,22.5,1,0
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1,1,1,2,1,1,0.5,1,1,2,1,0.5,1,1,1,1,0.5,0.5,103,5120,70,630,45,Shellfish Pokémon,120,1059860,1.6,79,Blastoise,88.1,water,135,115,78,85.5,1,0
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1,1,1,1,1,0.5,2,2,1,0.5,0.5,1,1,1,1,2,1,1,30,3840,70,195,255,Worm Pokémon,35,1000000,0.3,45,Caterpie,50,bug,20,20,45,2.9,1,0
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1,1,1,1,1,0.5,2,2,1,0.5,0.5,1,1,1,1,2,1,1,20,3840,70,205,120,Cocoon Pokémon,55,1000000,0.7,50,Metapod,50,bug,25,25,30,9.9,1,0
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0.5,1,1,2,1,0.25,2,2,1,0.25,0,2,1,1,1,4,1,1,45,3840,70,395,45,Butterfly Pokémon,50,1000000,1.1,60,Butterfree,50,bug,90,80,70,32,1,0
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0.5,1,1,1,0.5,0.25,2,2,1,0.25,1,1,1,0.5,2,2,1,1,35,3840,70,195,255,Hairy Pokémon,30,1000000,0.3,40,Weedle,50,bug,20,20,50,3.2,1,0
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0.5,1,1,1,0.5,0.25,2,2,1,0.25,1,1,1,0.5,2,2,1,1,25,3840,70,205,120,Cocoon Pokémon,50,1000000,0.6,45,Kakuna,50,bug,25,25,35,10,1,0
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0.5,1,1,1,0.5,0.25,2,2,1,0.25,1,1,1,0.5,2,2,1,1,150,3840,70,495,45,Poison Bee Pokémon,40,1000000,1,65,Beedrill,50,bug,15,80,145,29.5,1,0
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0.5,1,1,2,1,1,1,1,0,0.5,0,2,1,1,1,2,1,1,45,3840,70,251,255,Tiny Bird Pokémon,40,1059860,0.3,40,Pidgey,50,normal,35,35,56,1.8,1,0
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0.5,1,1,2,1,1,1,1,0,0.5,0,2,1,1,1,2,1,1,60,3840,70,349,120,Bird Pokémon,55,1059860,1.1,63,Pidgeotto,50,normal,50,50,71,30,1,0
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0.5,1,1,2,1,1,1,1,0,0.5,0,2,1,1,1,2,1,1,80,3840,70,579,45,Bird Pokémon,80,1059860,1.5,83,Pidgeot,50,normal,135,80,121,39.5,1,0
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1,1,1,1,1,2,1,1,0,1,1,1,1,1,1,1,1,1,56,3840,70,253,255,Mouse Pokémon,35,1000000,,30,Rattata,50,normal,25,35,72,,1,0
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1,1,1,1,1,2,1,1,0,1,1,1,1,1,1,1,1,1,71,3840,70,413,127,Mouse Pokémon,70,1000000,,75,Raticate,50,normal,40,80,77,,1,0
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0.5,1,1,2,1,1,1,1,0,0.5,0,2,1,1,1,2,1,1,60,3840,70,262,255,Tiny Bird Pokémon,30,1000000,0.3,40,Spearow,50,normal,31,31,70,2,1,0
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0.5,1,1,2,1,1,1,1,0,0.5,0,2,1,1,1,2,1,1,90,3840,70,442,90,Beak Pokémon,65,1000000,1.2,65,Fearow,50,normal,61,61,100,38,1,0
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0.5,1,1,1,0.5,0.5,1,1,1,0.5,2,1,1,0.5,2,1,1,1,60,5120,70,288,255,Snake Pokémon,44,1000000,2,35,Ekans,50,poison,40,54,55,6.9,1,0
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0.5,1,1,1,0.5,0.5,1,1,1,0.5,2,1,1,0.5,2,1,1,1,95,5120,70,448,90,Cobra Pokémon,69,1000000,3.5,60,Arbok,50,poison,65,79,80,65,1,0
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1,1,1,0.5,1,1,1,0.5,1,1,2,1,1,1,1,1,0.5,1,55,2560,70,320,190,Mouse Pokémon,40,1000000,0.4,35,Pikachu,50,electric,50,50,90,6,1,0
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1,1,1,0.5,1,1,1,0.5,1,1,2,1,1,1,1,1,0.5,1,85,2560,70,485,75,Mouse Pokémon,50,1000000,,60,Raichu,50,electric,95,85,110,,1,0
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1,1,1,0,1,1,1,1,1,2,1,2,1,0.5,1,0.5,1,2,75,5120,70,300,255,Mouse Pokémon,90,1000000,,50,Sandshrew,50,ground,10,35,40,,1,0
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1,1,1,0,1,1,1,1,1,2,1,2,1,0.5,1,0.5,1,2,100,5120,70,450,90,Mouse Pokémon,120,1000000,,75,Sandslash,50,ground,25,65,65,,1,0
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0.5,1,1,1,0.5,0.5,1,1,1,0.5,2,1,1,0.5,2,1,1,1,47,5120,70,275,235,Poison Pin Pokémon,52,1059860,0.4,55,Nidoran♀,0,poison,40,40,41,7,1,0
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0.5,1,1,1,0.5,0.5,1,1,1,0.5,2,1,1,0.5,2,1,1,1,62,5120,70,365,120,Poison Pin Pokémon,67,1059860,0.8,70,Nidorina,0,poison,55,55,56,20,1,0
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0.5,1,1,0,0.5,0.5,1,1,1,1,2,2,1,0.25,2,0.5,1,2,92,5120,70,505,45,Drill Pokémon,87,1059860,1.3,90,Nidoqueen,0,poison,75,85,76,60,1,0
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0.5,1,1,1,0.5,0.5,1,1,1,0.5,2,1,1,0.5,2,1,1,1,57,5120,70,273,235,Poison Pin Pokémon,40,1059860,0.5,46,Nidoran♂,100,poison,40,40,50,9,1,0
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0.5,1,1,1,0.5,0.5,1,1,1,0.5,2,1,1,0.5,2,1,1,1,72,5120,70,365,120,Poison Pin Pokémon,57,1059860,0.9,61,Nidorino,100,poison,55,55,65,19.5,1,0
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0.5,1,1,0,0.5,0.5,1,1,1,1,2,2,1,0.25,2,0.5,1,2,102,5120,70,505,45,Drill Pokémon,77,1059860,1.4,81,Nidoking,100,poison,85,75,85,62,1,0
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0.5,0.5,0,1,1,0.5,1,1,1,1,1,1,1,2,1,1,2,1,45,2560,140,323,150,Fairy Pokémon,48,800000,0.6,70,Clefairy,24.6,fairy,60,65,35,7.5,1,0
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0.5,0.5,0,1,1,0.5,1,1,1,1,1,1,1,2,1,1,2,1,70,2560,140,483,25,Fairy Pokémon,73,800000,1.3,95,Clefable,24.6,fairy,95,90,60,40,1,0
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0.5,1,1,1,0.5,1,0.5,1,1,0.5,2,0.5,1,1,1,2,0.5,2,41,5120,70,299,190,Fox Pokémon,40,1000000,,38,Vulpix,24.6,fire,50,65,65,,1,0
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0.5,1,1,1,0.5,1,0.5,1,1,0.5,2,0.5,1,1,1,2,0.5,2,67,5120,70,505,75,Fox Pokémon,75,1000000,,73,Ninetales,24.6,fire,81,100,109,,1,0
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0.5,0.5,0,1,1,1,1,1,0,1,1,1,1,2,1,1,2,1,45,2560,70,270,170,Balloon Pokémon,20,800000,0.5,115,Jigglypuff,24.6,normal,45,25,20,5.5,1,0
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0.5,0.5,0,1,1,1,1,1,0,1,1,1,1,2,1,1,2,1,70,2560,70,435,50,Balloon Pokémon,45,800000,1,140,Wigglytuff,24.6,normal,85,50,45,12,1,0
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0.25,1,1,2,0.5,0.25,1,1,1,0.25,0,2,1,0.5,2,2,1,1,45,3840,70,245,255,Bat Pokémon,35,1000000,0.8,40,Zubat,50,poison,30,40,55,7.5,1,0
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0.25,1,1,2,0.5,0.25,1,1,1,0.25,0,2,1,0.5,2,2,1,1,80,3840,70,455,90,Bat Pokémon,70,1000000,1.6,75,Golbat,50,poison,65,75,90,55,1,0
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1,1,1,0.5,0.5,0.5,2,2,1,0.25,1,2,1,1,2,1,1,0.5,50,5120,70,320,255,Weed Pokémon,55,1059860,0.5,45,Oddish,50,grass,75,65,30,5.4,1,0
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1,1,1,0.5,0.5,0.5,2,2,1,0.25,1,2,1,1,2,1,1,0.5,65,5120,70,395,120,Weed Pokémon,70,1059860,0.8,60,Gloom,50,grass,85,75,40,8.6,1,0
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1,1,1,0.5,0.5,0.5,2,2,1,0.25,1,2,1,1,2,1,1,0.5,80,5120,70,490,45,Flower Pokémon,85,1059860,1.2,75,Vileplume,50,grass,110,90,50,18.6,1,0
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2,1,1,0.5,1,0.5,4,4,1,0.25,0.25,2,1,2,1,2,1,0.5,70,5120,70,285,190,Mushroom Pokémon,55,1000000,0.3,35,Paras,50,bug,45,55,25,5.4,1,0
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2,1,1,0.5,1,0.5,4,4,1,0.25,0.25,2,1,2,1,2,1,0.5,95,5120,70,405,75,Mushroom Pokémon,80,1000000,1,60,Parasect,50,bug,60,80,30,29.5,1,0
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0.5,1,1,1,0.5,0.25,2,2,1,0.25,1,1,1,0.5,2,2,1,1,55,5120,70,305,190,Insect Pokémon,50,1000000,1,60,Venonat,50,bug,40,55,45,30,1,0
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0.5,1,1,1,0.5,0.25,2,2,1,0.25,1,1,1,0.5,2,2,1,1,65,5120,70,450,75,Poison Moth Pokémon,60,1000000,1.5,70,Venomoth,50,bug,90,75,90,12.5,1,0
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1,1,1,0,1,1,1,1,1,2,1,2,1,0.5,1,0.5,1,2,55,5120,70,265,255,Mole Pokémon,30,1000000,,10,Diglett,50,ground,35,45,90,,1,0
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1,1,1,0,1,1,1,1,1,2,1,2,1,0.5,1,0.5,1,2,100,5120,70,425,50,Mole Pokémon,60,1000000,,35,Dugtrio,50,ground,50,70,110,,1,0
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1,1,1,1,1,2,1,1,0,1,1,1,1,1,1,1,1,1,35,5120,70,290,255,Scratch Cat Pokémon,35,1000000,,40,Meowth,50,normal,50,40,90,,1,0
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1,1,1,1,1,2,1,1,0,1,1,1,1,1,1,1,1,1,60,5120,70,440,90,Classy Cat Pokémon,60,1000000,,65,Persian,50,normal,75,65,115,,1,0
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1,1,1,2,1,1,0.5,1,1,2,1,0.5,1,1,1,1,0.5,0.5,52,5120,70,320,190,Duck Pokémon,48,1000000,0.8,50,Psyduck,50,water,65,50,55,19.6,1,0
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1,1,1,2,1,1,0.5,1,1,2,1,0.5,1,1,1,1,0.5,0.5,82,5120,70,500,75,Duck Pokémon,78,1000000,1.7,80,Golduck,50,water,95,80,85,76.6,1,0
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0.5,0.5,1,1,2,1,1,2,1,1,1,1,1,1,2,0.5,1,1,80,5120,70,305,190,Pig Monkey Pokémon,35,1000000,0.5,40,Mankey,50,fighting,35,45,70,28,1,0
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0.5,0.5,1,1,2,1,1,2,1,1,1,1,1,1,2,0.5,1,1,105,5120,70,455,75,Pig Monkey Pokémon,60,1000000,1,65,Primeape,50,fighting,60,70,95,32,1,0
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0.5,1,1,1,0.5,1,0.5,1,1,0.5,2,0.5,1,1,1,2,0.5,2,70,5120,70,350,190,Puppy Pokémon,45,1250000,0.7,55,Growlithe,75.4,fire,70,50,60,19,1,0
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0.5,1,1,1,0.5,1,0.5,1,1,0.5,2,0.5,1,1,1,2,0.5,2,110,5120,70,555,75,Legendary Pokémon,80,1250000,1.9,90,Arcanine,75.4,fire,100,80,95,155,1,0
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1,1,1,2,1,1,0.5,1,1,2,1,0.5,1,1,1,1,0.5,0.5,50,5120,70,300,255,Tadpole Pokémon,40,1059860,0.6,40,Poliwag,50,water,40,40,90,12.4,1,0
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1,1,1,2,1,1,0.5,1,1,2,1,0.5,1,1,1,1,0.5,0.5,65,5120,70,385,120,Tadpole Pokémon,65,1059860,1,65,Poliwhirl,50,water,50,50,90,20,1,0
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0.5,0.5,1,2,2,1,0.5,2,1,2,1,0.5,1,1,2,0.5,0.5,0.5,95,5120,70,510,45,Tadpole Pokémon,95,1059860,1.3,90,Poliwrath,50,water,70,90,70,54,1,0
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2,2,1,1,1,0.5,1,1,2,1,1,1,1,1,0.5,1,1,1,20,5120,70,310,200,Psi Pokémon,15,1059860,0.9,25,Abra,75.4,psychic,105,55,90,19.5,1,0
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2,2,1,1,1,0.5,1,1,2,1,1,1,1,1,0.5,1,1,1,35,5120,70,400,100,Psi Pokémon,30,1059860,1.3,40,Kadabra,75.4,psychic,120,70,105,56.5,1,0
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2,2,1,1,1,0.5,1,1,2,1,1,1,1,1,0.5,1,1,1,50,5120,70,600,50,Psi Pokémon,65,1059860,1.5,55,Alakazam,75.4,psychic,175,105,150,48,1,0
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0.5,0.5,1,1,2,1,1,2,1,1,1,1,1,1,2,0.5,1,1,80,5120,70,305,180,Superpower Pokémon,50,1059860,0.8,70,Machop,75.4,fighting,35,35,35,19.5,1,0
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0.5,0.5,1,1,2,1,1,2,1,1,1,1,1,1,2,0.5,1,1,100,5120,70,405,90,Superpower Pokémon,70,1059860,1.5,80,Machoke,75.4,fighting,50,60,45,70.5,1,0
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0.5,0.5,1,1,2,1,1,2,1,1,1,1,1,1,2,0.5,1,1,130,5120,70,505,45,Superpower Pokémon,80,1059860,1.6,90,Machamp,75.4,fighting,65,85,55,130,1,0
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1,1,1,0.5,0.5,0.5,2,2,1,0.25,1,2,1,1,2,1,1,0.5,75,5120,70,300,255,Flower Pokémon,35,1059860,0.7,50,Bellsprout,50,grass,70,30,40,4,1,0
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1,1,1,0.5,0.5,0.5,2,2,1,0.25,1,2,1,1,2,1,1,0.5,90,5120,70,390,120,Flycatcher Pokémon,50,1059860,1,65,Weepinbell,50,grass,85,45,55,6.4,1,0
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1,1,1,0.5,0.5,0.5,2,2,1,0.25,1,2,1,1,2,1,1,0.5,105,5120,70,490,45,Flycatcher Pokémon,65,1059860,1.7,80,Victreebel,50,grass,100,70,70,15.5,1,0
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0.5,1,1,2,0.5,0.5,0.5,1,1,1,2,0.5,1,0.5,2,1,0.5,0.5,40,5120,70,335,190,Jellyfish Pokémon,35,1250000,0.9,40,Tentacool,50,water,50,100,70,45.5,1,0
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0.5,1,1,2,0.5,0.5,0.5,1,1,1,2,0.5,1,0.5,2,1,0.5,0.5,70,5120,70,515,60,Jellyfish Pokémon,65,1250000,1.6,80,Tentacruel,50,water,80,120,100,55,1,0
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1,1,1,0,1,2,0.5,0.5,1,4,2,2,0.5,0.25,1,0.5,2,4,80,3840,70,300,255,Rock Pokémon,100,1059860,,40,Geodude,50,rock,30,30,20,,1,0
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1,1,1,0,1,2,0.5,0.5,1,4,2,2,0.5,0.25,1,0.5,2,4,95,3840,70,390,120,Rock Pokémon,115,1059860,,55,Graveler,50,rock,45,45,35,,1,0
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1,1,1,0,1,2,0.5,0.5,1,4,2,2,0.5,0.25,1,0.5,2,4,120,3840,70,495,45,Megaton Pokémon,130,1059860,,80,Golem,50,rock,55,65,45,,1,0
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0.5,1,1,1,0.5,1,0.5,1,1,0.5,2,0.5,1,1,1,2,0.5,2,85,5120,70,410,190,Fire Horse Pokémon,55,1000000,1,50,Ponyta,50,fire,65,65,90,30,1,0
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0.5,1,1,1,0.5,1,0.5,1,1,0.5,2,0.5,1,1,1,2,0.5,2,100,5120,70,500,60,Fire Horse Pokémon,70,1000000,1.7,65,Rapidash,50,fire,80,80,105,95,1,0
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2,2,1,2,1,0.5,0.5,1,2,2,1,0.5,1,1,0.5,1,0.5,0.5,65,5120,70,315,190,Dopey Pokémon,65,1000000,1.2,90,Slowpoke,50,water,40,40,15,36,1,0
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2,2,1,2,1,0.5,0.5,1,2,2,1,0.5,1,1,0.5,1,0.5,0.5,75,5120,70,590,75,Hermit Crab Pokémon,180,1000000,1.6,95,Slowbro,50,water,130,80,30,78.5,1,0
|
||||
0.5,1,0.5,0.5,0.5,2,2,0.25,1,0.5,4,0.5,0.5,0,0.5,0.5,0.25,1,35,5120,70,325,190,Magnet Pokémon,70,1000000,0.3,25,Magnemite,,electric,95,55,45,6,1,0
|
||||
0.5,1,0.5,0.5,0.5,2,2,0.25,1,0.5,4,0.5,0.5,0,0.5,0.5,0.25,1,60,5120,70,465,60,Magnet Pokémon,95,1000000,1,50,Magneton,,electric,120,70,70,60,1,0
|
||||
0.5,1,1,2,1,1,1,1,0,0.5,0,2,1,1,1,2,1,1,90,5120,70,377,45,Wild Duck Pokémon,55,1000000,0.8,52,Farfetch'd,50,normal,58,62,60,15,1,0
|
||||
0.5,1,1,2,1,1,1,1,0,0.5,0,2,1,1,1,2,1,1,85,5120,70,310,190,Twin Bird Pokémon,45,1000000,1.4,35,Doduo,50,normal,35,35,75,39.2,1,0
|
||||
0.5,1,1,2,1,1,1,1,0,0.5,0,2,1,1,1,2,1,1,110,5120,70,470,45,Triple Bird Pokémon,70,1000000,1.8,60,Dodrio,50,normal,60,60,110,85.2,1,0
|
||||
1,1,1,2,1,1,0.5,1,1,2,1,0.5,1,1,1,1,0.5,0.5,45,5120,70,325,190,Sea Lion Pokémon,55,1000000,1.1,65,Seel,50,water,45,70,45,90,1,0
|
||||
1,1,1,2,1,2,1,1,1,2,1,0.25,1,1,1,2,1,0.5,70,5120,70,475,75,Sea Lion Pokémon,80,1000000,1.7,90,Dewgong,50,water,70,95,70,120,1,0
|
||||
0.5,1,1,1,0.5,0.5,1,1,1,0.5,2,1,1,0.5,2,1,1,1,80,5120,70,325,190,Sludge Pokémon,50,1000000,,80,Grimer,50,poison,40,50,25,,1,0
|
||||
0.5,1,1,1,0.5,0.5,1,1,1,0.5,2,1,1,0.5,2,1,1,1,105,5120,70,500,75,Sludge Pokémon,75,1000000,,105,Muk,50,poison,65,100,50,,1,0
|
||||
1,1,1,2,1,1,0.5,1,1,2,1,0.5,1,1,1,1,0.5,0.5,65,5120,70,305,190,Bivalve Pokémon,100,1250000,0.3,30,Shellder,50,water,45,25,40,4,1,0
|
||||
1,1,1,2,1,2,1,1,1,2,1,0.25,1,1,1,2,1,0.5,95,5120,70,525,60,Bivalve Pokémon,180,1250000,1.5,50,Cloyster,50,water,85,45,70,132.5,1,0
|
||||
0.25,2,1,1,0.5,0,1,1,2,0.5,2,1,0,0.25,2,1,1,1,35,5120,70,310,190,Gas Pokémon,30,1059860,1.3,30,Gastly,50,ghost,100,35,80,0.1,1,0
|
||||
0.25,2,1,1,0.5,0,1,1,2,0.5,2,1,0,0.25,2,1,1,1,50,5120,70,405,90,Gas Pokémon,45,1059860,1.6,45,Haunter,50,ghost,115,55,95,0.1,1,0
|
||||
0.25,2,1,1,0.5,0,1,1,2,0.5,2,1,0,0.25,2,1,1,1,65,5120,70,600,45,Shadow Pokémon,80,1059860,1.5,60,Gengar,50,ghost,170,95,130,40.5,1,0
|
||||
1,1,1,0,1,2,0.5,0.5,1,4,2,2,0.5,0.25,1,0.5,2,4,45,6400,70,385,45,Rock Snake Pokémon,160,1000000,8.8,35,Onix,50,rock,30,45,70,210,1,0
|
||||
2,2,1,1,1,0.5,1,1,2,1,1,1,1,1,0.5,1,1,1,48,5120,70,328,190,Hypnosis Pokémon,45,1000000,1,60,Drowzee,50,psychic,43,90,42,32.4,1,0
|
||||
2,2,1,1,1,0.5,1,1,2,1,1,1,1,1,0.5,1,1,1,73,5120,70,483,75,Hypnosis Pokémon,70,1000000,1.6,85,Hypno,50,psychic,73,115,67,75.6,1,0
|
||||
1,1,1,2,1,1,0.5,1,1,2,1,0.5,1,1,1,1,0.5,0.5,105,5120,70,325,225,River Crab Pokémon,90,1000000,0.4,30,Krabby,50,water,25,25,50,6.5,1,0
|
||||
1,1,1,2,1,1,0.5,1,1,2,1,0.5,1,1,1,1,0.5,0.5,130,5120,70,475,60,Pincer Pokémon,115,1000000,1.3,55,Kingler,50,water,50,50,75,60,1,0
|
||||
1,1,1,0.5,1,1,1,0.5,1,1,2,1,1,1,1,1,0.5,1,30,5120,70,330,190,Ball Pokémon,50,1000000,0.5,40,Voltorb,,electric,55,55,100,10.4,1,0
|
||||
1,1,1,0.5,1,1,1,0.5,1,1,2,1,1,1,1,1,0.5,1,50,5120,70,490,60,Ball Pokémon,70,1000000,1.2,60,Electrode,,electric,80,80,150,66.6,1,0
|
||||
4,2,1,0.5,1,0.5,2,2,2,0.5,0.5,2,1,2,0.5,1,1,0.5,40,5120,70,325,90,Egg Pokémon,80,1250000,0.4,60,Exeggcute,50,grass,60,45,40,2.5,1,0
|
||||
4,2,1,0.5,1,0.5,2,2,2,0.5,0.5,2,1,2,0.5,1,1,0.5,105,5120,70,530,45,Coconut Pokémon,85,1250000,,95,Exeggutor,50,grass,125,75,45,,1,0
|
||||
1,1,1,0,1,1,1,1,1,2,1,2,1,0.5,1,0.5,1,2,50,5120,70,320,190,Lonely Pokémon,95,1000000,0.4,50,Cubone,50,ground,40,50,35,6.5,1,0
|
||||
1,1,1,0,1,1,1,1,1,2,1,2,1,0.5,1,0.5,1,2,80,5120,70,425,75,Bone Keeper Pokémon,110,1000000,,60,Marowak,50,ground,50,80,45,,1,0
|
||||
0.5,0.5,1,1,2,1,1,2,1,1,1,1,1,1,2,0.5,1,1,120,6400,70,455,45,Kicking Pokémon,53,1000000,1.5,50,Hitmonlee,100,fighting,35,110,87,49.8,1,0
|
||||
0.5,0.5,1,1,2,1,1,2,1,1,1,1,1,1,2,0.5,1,1,105,6400,70,455,45,Punching Pokémon,79,1000000,1.4,50,Hitmonchan,100,fighting,35,110,76,50.2,1,0
|
||||
1,1,1,1,1,2,1,1,0,1,1,1,1,1,1,1,1,1,55,5120,70,385,45,Licking Pokémon,75,1000000,1.2,90,Lickitung,50,normal,60,75,30,65.5,1,0
|
||||
0.5,1,1,1,0.5,0.5,1,1,1,0.5,2,1,1,0.5,2,1,1,1,65,5120,70,340,190,Poison Gas Pokémon,95,1000000,0.6,40,Koffing,50,poison,60,45,35,1,1,0
|
||||
0.5,1,1,1,0.5,0.5,1,1,1,0.5,2,1,1,0.5,2,1,1,1,90,5120,70,490,60,Poison Gas Pokémon,120,1000000,1.2,65,Weezing,50,poison,85,70,60,9.5,1,0
|
||||
1,1,1,0,1,2,0.5,0.5,1,4,2,2,0.5,0.25,1,0.5,2,4,85,5120,70,345,120,Spikes Pokémon,95,1250000,1,80,Rhyhorn,50,ground,30,30,25,115,1,0
|
||||
1,1,1,0,1,2,0.5,0.5,1,4,2,2,0.5,0.25,1,0.5,2,4,130,5120,70,485,60,Drill Pokémon,120,1250000,1.9,105,Rhydon,50,ground,45,45,40,120,1,0
|
||||
1,1,1,1,1,2,1,1,0,1,1,1,1,1,1,1,1,1,5,10240,140,450,30,Egg Pokémon,5,800000,1.1,250,Chansey,0,normal,35,105,50,34.6,1,0
|
||||
2,1,1,0.5,1,1,2,2,1,0.5,0.5,2,1,2,1,1,1,0.5,55,5120,70,435,45,Vine Pokémon,115,1000000,1,65,Tangela,50,grass,100,40,60,35,1,0
|
||||
1,1,1,1,1,2,1,1,0,1,1,1,1,1,1,1,1,1,125,5120,70,590,45,Parent Pokémon,100,1000000,2.2,105,Kangaskhan,0,normal,60,100,100,80,1,0
|
||||
1,1,1,2,1,1,0.5,1,1,2,1,0.5,1,1,1,1,0.5,0.5,40,5120,70,295,225,Dragon Pokémon,70,1000000,0.4,30,Horsea,50,water,70,25,60,8,1,0
|
||||
1,1,1,2,1,1,0.5,1,1,2,1,0.5,1,1,1,1,0.5,0.5,65,5120,70,440,75,Dragon Pokémon,95,1000000,1.2,55,Seadra,50,water,95,45,85,25,1,0
|
||||
1,1,1,2,1,1,0.5,1,1,2,1,0.5,1,1,1,1,0.5,0.5,67,5120,70,320,225,Goldfish Pokémon,60,1000000,0.6,45,Goldeen,50,water,35,50,63,15,1,0
|
||||
1,1,1,2,1,1,0.5,1,1,2,1,0.5,1,1,1,1,0.5,0.5,92,5120,70,450,60,Goldfish Pokémon,65,1000000,1.3,80,Seaking,50,water,65,80,68,39,1,0
|
||||
1,1,1,2,1,1,0.5,1,1,2,1,0.5,1,1,1,1,0.5,0.5,45,5120,70,340,225,Starshape Pokémon,55,1250000,0.8,30,Staryu,,water,70,55,85,34.5,1,0
|
||||
2,2,1,2,1,0.5,0.5,1,2,2,1,0.5,1,1,0.5,1,0.5,0.5,75,5120,70,520,60,Mysterious Pokémon,85,1250000,1.1,60,Starmie,,water,100,85,115,80,1,0
|
||||
1,1,0,1,1,0.25,1,1,2,1,1,1,1,2,0.5,1,2,1,45,6400,70,460,45,Barrier Pokémon,65,1000000,1.3,40,Mr. Mime,50,psychic,100,120,90,54.5,1,0
|
||||
0.5,1,1,2,1,0.25,2,2,1,0.25,0,2,1,1,1,4,1,1,110,6400,70,500,45,Mantis Pokémon,80,1000000,1.5,70,Scyther,50,bug,55,80,105,56,1,0
|
||||
2,2,1,1,1,1,2,1,2,1,1,0.5,1,1,0.5,2,2,1,50,6400,70,455,45,Humanshape Pokémon,35,1000000,1.4,65,Jynx,0,ice,115,95,95,40.6,1,0
|
||||
1,1,1,0.5,1,1,1,0.5,1,1,2,1,1,1,1,1,0.5,1,83,6400,70,490,45,Electric Pokémon,57,1000000,1.1,65,Electabuzz,75.4,electric,95,85,105,30,1,0
|
||||
0.5,1,1,1,0.5,1,0.5,1,1,0.5,2,0.5,1,1,1,2,0.5,2,95,6400,70,495,45,Spitfire Pokémon,57,1000000,1.3,65,Magmar,75.4,fire,100,85,93,44.5,1,0
|
||||
1,1,1,1,1,0.5,2,2,1,0.5,0.5,1,1,1,1,2,1,1,155,6400,70,600,45,Stagbeetle Pokémon,120,1250000,1.5,65,Pinsir,50,bug,65,90,105,55,1,0
|
||||
1,1,1,1,1,2,1,1,0,1,1,1,1,1,1,1,1,1,100,5120,70,490,45,Wild Bull Pokémon,95,1250000,1.4,75,Tauros,100,normal,40,70,110,88.4,1,0
|
||||
1,1,1,2,1,1,0.5,1,1,2,1,0.5,1,1,1,1,0.5,0.5,10,1280,70,200,255,Fish Pokémon,55,1250000,0.9,20,Magikarp,50,water,15,20,80,10,1,0
|
||||
0.5,1,1,4,1,0.5,0.5,1,1,1,0,1,1,1,1,2,0.5,0.5,155,1280,70,640,45,Atrocious Pokémon,109,1250000,6.5,95,Gyarados,50,water,70,130,81,235,1,0
|
||||
1,1,1,2,1,2,1,1,1,2,1,0.25,1,1,1,2,1,0.5,85,10240,70,535,45,Transport Pokémon,80,1250000,2.5,130,Lapras,50,water,85,95,60,220,1,0
|
||||
1,1,1,1,1,2,1,1,0,1,1,1,1,1,1,1,1,1,48,5120,70,288,35,Transform Pokémon,48,1000000,0.3,48,Ditto,,normal,48,48,48,4,1,0
|
||||
1,1,1,1,1,2,1,1,0,1,1,1,1,1,1,1,1,1,55,8960,70,325,45,Evolution Pokémon,50,1000000,0.3,55,Eevee,88.1,normal,45,65,55,6.5,1,0
|
||||
1,1,1,2,1,1,0.5,1,1,2,1,0.5,1,1,1,1,0.5,0.5,65,8960,70,525,45,Bubble Jet Pokémon,60,1000000,1,130,Vaporeon,88.1,water,110,95,65,29,1,0
|
||||
1,1,1,0.5,1,1,1,0.5,1,1,2,1,1,1,1,1,0.5,1,65,8960,70,525,45,Lightning Pokémon,60,1000000,0.8,65,Jolteon,88.1,electric,110,95,130,24.5,1,0
|
||||
0.5,1,1,1,0.5,1,0.5,1,1,0.5,2,0.5,1,1,1,2,0.5,2,130,8960,70,525,45,Flame Pokémon,60,1000000,0.9,65,Flareon,88.1,fire,95,110,65,25,1,0
|
||||
1,1,1,1,1,2,1,1,0,1,1,1,1,1,1,1,1,1,60,5120,70,395,45,Virtual Pokémon,70,1000000,0.8,65,Porygon,,normal,85,75,40,36.5,1,0
|
||||
1,1,1,2,1,2,0.25,0.5,1,4,2,0.5,0.5,0.5,1,1,1,1,40,7680,70,355,45,Spiral Pokémon,100,1000000,0.4,35,Omanyte,88.1,rock,90,55,35,7.5,1,0
|
||||
1,1,1,2,1,2,0.25,0.5,1,4,2,0.5,0.5,0.5,1,1,1,1,60,7680,70,495,45,Spiral Pokémon,125,1000000,1,70,Omastar,88.1,rock,115,70,55,35,1,0
|
||||
1,1,1,2,1,2,0.25,0.5,1,4,2,0.5,0.5,0.5,1,1,1,1,80,7680,70,355,45,Shellfish Pokémon,90,1000000,0.5,30,Kabuto,88.1,rock,55,45,55,11.5,1,0
|
||||
1,1,1,2,1,2,0.25,0.5,1,4,2,0.5,0.5,0.5,1,1,1,1,115,7680,70,495,45,Shellfish Pokémon,105,1000000,1.3,60,Kabutops,88.1,rock,65,70,80,40.5,1,0
|
||||
0.5,1,1,2,1,1,0.5,0.5,1,1,0,2,0.5,0.5,1,2,2,2,135,8960,70,615,45,Fossil Pokémon,85,1250000,1.8,80,Aerodactyl,88.1,rock,70,95,150,59,1,0
|
||||
1,1,1,1,1,2,1,1,0,1,1,1,1,1,1,1,1,1,110,10240,70,540,25,Sleeping Pokémon,65,1250000,2.1,160,Snorlax,88.1,normal,65,110,30,460,1,0
|
||||
0.5,1,1,2,1,1,2,1,1,0.5,0,1,1,1,1,4,2,1,85,20480,35,580,3,Freeze Pokémon,100,1250000,1.7,90,Articuno,,ice,95,125,85,55.4,1,1
|
||||
0.5,1,1,1,1,0.5,1,0.5,1,0.5,0,2,1,1,1,2,0.5,1,90,20480,35,580,3,Electric Pokémon,85,1250000,1.6,90,Zapdos,,electric,125,90,100,52.6,1,1
|
||||
0.25,1,1,2,0.5,0.5,0.5,1,1,0.25,0,1,1,1,1,4,0.5,2,100,20480,35,580,3,Flame Pokémon,90,1250000,2,90,Moltres,,fire,125,85,90,60,1,1
|
||||
1,1,2,0.5,2,1,0.5,1,1,0.5,1,2,1,1,1,1,1,0.5,64,10240,35,300,45,Dragon Pokémon,45,1250000,1.8,41,Dratini,50,dragon,50,50,50,3.3,1,0
|
||||
1,1,2,0.5,2,1,0.5,1,1,0.5,1,2,1,1,1,1,1,0.5,84,10240,35,420,45,Dragon Pokémon,65,1250000,4,61,Dragonair,50,dragon,70,70,70,16.5,1,0
|
||||
0.5,1,2,1,2,0.5,0.5,1,1,0.25,0,4,1,1,1,2,1,0.5,134,10240,35,600,45,Dragon Pokémon,95,1250000,2.2,91,Dragonite,50,dragon,100,100,80,210,1,0
|
||||
2,2,1,1,1,0.5,1,1,2,1,1,1,1,1,0.5,1,1,1,150,30720,0,780,3,Genetic Pokémon,70,1250000,2,106,Mewtwo,,psychic,194,120,140,122,1,1
|
||||
2,2,1,1,1,0.5,1,1,2,1,1,1,1,1,0.5,1,1,1,100,30720,100,600,45,New Species Pokémon,100,1059860,0.4,100,Mew,,psychic,100,100,100,4,1,1
|
||||
2,1,1,0.5,1,1,2,2,1,0.5,0.5,2,1,2,1,1,1,0.5,49,5120,70,318,45,Leaf Pokémon,65,1059860,0.9,45,Chikorita,88.1,grass,49,65,45,6.4,2,0
|
||||
2,1,1,0.5,1,1,2,2,1,0.5,0.5,2,1,2,1,1,1,0.5,62,5120,70,405,45,Leaf Pokémon,80,1059860,1.2,60,Bayleef,88.1,grass,63,80,60,15.8,2,0
|
||||
2,1,1,0.5,1,1,2,2,1,0.5,0.5,2,1,2,1,1,1,0.5,82,5120,70,525,45,Herb Pokémon,100,1059860,1.8,80,Meganium,88.1,grass,83,100,80,100.5,2,0
|
||||
0.5,1,1,1,0.5,1,0.5,1,1,0.5,2,0.5,1,1,1,2,0.5,2,52,5120,70,309,45,Fire Mouse Pokémon,43,1059860,0.5,39,Cyndaquil,88.1,fire,60,50,65,7.9,2,0
|
||||
0.5,1,1,1,0.5,1,0.5,1,1,0.5,2,0.5,1,1,1,2,0.5,2,64,5120,70,405,45,Volcano Pokémon,58,1059860,0.9,58,Quilava,88.1,fire,80,65,80,19,2,0
|
||||
0.5,1,1,1,0.5,1,0.5,1,1,0.5,2,0.5,1,1,1,2,0.5,2,84,5120,70,534,45,Volcano Pokémon,78,1059860,1.7,78,Typhlosion,88.1,fire,109,85,100,79.5,2,0
|
||||
1,1,1,2,1,1,0.5,1,1,2,1,0.5,1,1,1,1,0.5,0.5,65,5120,70,314,45,Big Jaw Pokémon,64,1059860,0.6,50,Totodile,88.1,water,44,48,43,9.5,2,0
|
||||
1,1,1,2,1,1,0.5,1,1,2,1,0.5,1,1,1,1,0.5,0.5,80,5120,70,405,45,Big Jaw Pokémon,80,1059860,1.1,65,Croconaw,88.1,water,59,63,58,25,2,0
|
||||
1,1,1,2,1,1,0.5,1,1,2,1,0.5,1,1,1,1,0.5,0.5,105,5120,70,530,45,Big Jaw Pokémon,100,1059860,2.3,85,Feraligatr,88.1,water,79,83,78,88.8,2,0
|
||||
1,1,1,1,1,2,1,1,0,1,1,1,1,1,1,1,1,1,46,3840,70,215,255,Scout Pokémon,34,1000000,0.8,35,Sentret,50,normal,35,45,20,6,2,0
|
||||
1,1,1,1,1,2,1,1,0,1,1,1,1,1,1,1,1,1,76,3840,70,415,90,Long Body Pokémon,64,1000000,1.8,85,Furret,50,normal,45,55,90,32.5,2,0
|
||||
0.5,1,1,2,1,1,1,1,0,0.5,0,2,1,1,1,2,1,1,30,3840,70,262,255,Owl Pokémon,30,1000000,0.7,60,Hoothoot,50,normal,36,56,50,21.2,2,0
|
||||
0.5,1,1,2,1,1,1,1,0,0.5,0,2,1,1,1,2,1,1,50,3840,70,452,90,Owl Pokémon,50,1000000,1.6,100,Noctowl,50,normal,86,96,70,40.8,2,0
|
||||
0.5,1,1,2,1,0.25,2,2,1,0.25,0,2,1,1,1,4,1,1,20,3840,70,265,255,Five Star Pokémon,30,800000,1,40,Ledyba,50,bug,40,80,55,10.8,2,0
|
||||
0.5,1,1,2,1,0.25,2,2,1,0.25,0,2,1,1,1,4,1,1,35,3840,70,390,90,Five Star Pokémon,50,800000,1.4,55,Ledian,50,bug,55,110,85,35.6,2,0
|
||||
0.5,1,1,1,0.5,0.25,2,2,1,0.25,1,1,1,0.5,2,2,1,1,60,3840,70,250,255,String Spit Pokémon,40,800000,0.5,40,Spinarak,50,bug,40,40,30,8.5,2,0
|
||||
0.5,1,1,1,0.5,0.25,2,2,1,0.25,1,1,1,0.5,2,2,1,1,90,3840,70,400,90,Long Leg Pokémon,70,800000,1.1,70,Ariados,50,bug,60,70,40,33.5,2,0
|
||||
0.25,1,1,2,0.5,0.25,1,1,1,0.25,0,2,1,0.5,2,2,1,1,90,3840,70,535,90,Bat Pokémon,80,1000000,1.8,85,Crobat,50,poison,70,80,130,75,2,0
|
||||
1,1,1,1,1,1,0.5,0.5,1,2,2,0.5,1,1,1,1,0.25,0.5,38,5120,70,330,190,Angler Pokémon,38,1250000,0.5,75,Chinchou,50,water,56,56,67,12,2,0
|
||||
1,1,1,1,1,1,0.5,0.5,1,2,2,0.5,1,1,1,1,0.25,0.5,58,5120,70,460,75,Light Pokémon,58,1250000,1.2,125,Lanturn,50,water,76,76,67,22.5,2,0
|
||||
1,1,1,0.5,1,1,1,0.5,1,1,2,1,1,1,1,1,0.5,1,40,2560,70,205,190,Tiny Mouse Pokémon,15,1000000,0.3,20,Pichu,50,electric,35,35,60,2,2,0
|
||||
0.5,0.5,0,1,1,0.5,1,1,1,1,1,1,1,2,1,1,2,1,25,2560,140,218,150,Star Shape Pokémon,28,800000,0.3,50,Cleffa,24.6,fairy,45,55,15,3,2,0
|
||||
0.5,0.5,0,1,1,1,1,1,0,1,1,1,1,2,1,1,2,1,30,2560,70,210,170,Balloon Pokémon,15,800000,0.3,90,Igglybuff,24.6,normal,40,20,15,1,2,0
|
||||
0.5,0.5,0,1,1,0.5,1,1,1,1,1,1,1,2,1,1,2,1,20,2560,70,245,190,Spike Ball Pokémon,65,800000,0.3,35,Togepi,88.1,fairy,40,65,20,1.5,2,0
|
||||
0.25,0.5,0,2,1,0.25,1,1,1,0.5,0,2,1,2,1,2,2,1,40,2560,70,405,75,Happiness Pokémon,85,800000,0.6,55,Togetic,88.1,fairy,80,105,40,3.2,2,0
|
||||
1,2,1,2,1,0.25,1,1,2,0.5,0,2,1,1,0.5,2,1,1,50,5120,70,320,190,Little Bird Pokémon,45,1000000,0.2,40,Natu,50,psychic,70,45,70,2,2,0
|
||||
1,2,1,2,1,0.25,1,1,2,0.5,0,2,1,1,0.5,2,1,1,75,5120,70,470,75,Mystic Pokémon,70,1000000,1.5,65,Xatu,50,psychic,95,70,95,15,2,0
|
||||
1,1,1,0.5,1,1,1,0.5,1,1,2,1,1,1,1,1,0.5,1,40,5120,70,280,235,Wool Pokémon,40,1059860,0.6,55,Mareep,50,electric,65,45,35,7.8,2,0
|
||||
1,1,1,0.5,1,1,1,0.5,1,1,2,1,1,1,1,1,0.5,1,55,5120,70,365,120,Wool Pokémon,55,1059860,0.8,70,Flaaffy,50,electric,80,60,45,13.3,2,0
|
||||
1,1,1,0.5,1,1,1,0.5,1,1,2,1,1,1,1,1,0.5,1,95,5120,70,610,45,Light Pokémon,105,1059860,1.4,90,Ampharos,50,electric,165,110,45,61.5,2,0
|
||||
2,1,1,0.5,1,1,2,2,1,0.5,0.5,2,1,2,1,1,1,0.5,80,5120,70,490,45,Flower Pokémon,95,1059860,0.4,75,Bellossom,50,grass,90,100,50,5.8,2,0
|
||||
0.5,0.5,0,2,1,0.5,0.5,1,1,2,1,0.5,1,2,1,1,1,0.5,20,2560,70,250,190,Aquamouse Pokémon,50,800000,0.4,70,Marill,50,water,20,50,40,8.5,2,0
|
||||
0.5,0.5,0,2,1,0.5,0.5,1,1,2,1,0.5,1,2,1,1,1,0.5,50,2560,70,420,75,Aquarabbit Pokémon,80,800000,0.8,100,Azumarill,50,water,60,80,50,28.5,2,0
|
||||
1,1,1,1,1,2,0.5,0.5,1,2,2,1,0.5,0.5,1,1,2,2,100,5120,70,410,65,Imitation Pokémon,115,1000000,1.2,70,Sudowoodo,50,rock,30,65,30,38,2,0
|
||||
1,1,1,2,1,1,0.5,1,1,2,1,0.5,1,1,1,1,0.5,0.5,75,5120,70,500,45,Frog Pokémon,75,1059860,1.1,90,Politoed,50,water,90,100,70,33.9,2,0
|
||||
1,1,1,1,1,0.5,2,2,1,0.25,0,4,1,2,1,2,1,0.5,35,5120,70,250,255,Cottonweed Pokémon,40,1059860,0.4,35,Hoppip,50,grass,35,55,50,0.5,2,0
|
||||
1,1,1,1,1,0.5,2,2,1,0.25,0,4,1,2,1,2,1,0.5,45,5120,70,340,120,Cottonweed Pokémon,50,1059860,0.6,55,Skiploom,50,grass,45,65,80,1,2,0
|
||||
1,1,1,1,1,0.5,2,2,1,0.25,0,4,1,2,1,2,1,0.5,55,5120,70,460,45,Cottonweed Pokémon,70,1059860,0.8,75,Jumpluff,50,grass,55,95,110,3,2,0
|
||||
1,1,1,1,1,2,1,1,0,1,1,1,1,1,1,1,1,1,70,5120,70,360,45,Long Tail Pokémon,55,800000,0.8,55,Aipom,50,normal,40,55,85,11.5,2,0
|
||||
2,1,1,0.5,1,1,2,2,1,0.5,0.5,2,1,2,1,1,1,0.5,30,5120,70,180,235,Seed Pokémon,30,1059860,0.3,30,Sunkern,50,grass,30,30,30,1.8,2,0
|
||||
2,1,1,0.5,1,1,2,2,1,0.5,0.5,2,1,2,1,1,1,0.5,75,5120,70,425,120,Sun Pokémon,55,1059860,0.8,75,Sunflora,50,grass,105,85,30,8.5,2,0
|
||||
0.5,1,1,2,1,0.25,2,2,1,0.25,0,2,1,1,1,4,1,1,65,5120,70,390,75,Clear Wing Pokémon,45,1000000,1.2,65,Yanma,50,bug,75,45,95,38,2,0
|
||||
1,1,1,0,1,1,0.5,1,1,4,1,1,1,0.5,1,0.5,0.5,1,45,5120,70,210,255,Water Fish Pokémon,45,1000000,0.4,55,Wooper,50,water,25,25,15,8.5,2,0
|
||||
1,1,1,0,1,1,0.5,1,1,4,1,1,1,0.5,1,0.5,0.5,1,85,5120,70,430,90,Water Fish Pokémon,85,1000000,1.4,95,Quagsire,50,water,65,65,35,75,2,0
|
||||
2,2,1,1,1,0.5,1,1,2,1,1,1,1,1,0.5,1,1,1,65,8960,70,525,45,Sun Pokémon,60,1000000,0.9,65,Espeon,88.1,psychic,130,95,110,26.5,2,0
|
||||
2,0.5,1,1,2,2,1,1,0.5,1,1,1,1,1,0,1,1,1,65,8960,35,525,45,Moonlight Pokémon,110,1000000,1,95,Umbreon,88.1,dark,60,130,65,27,2,0
|
||||
1,0.5,1,2,2,1,1,1,0.5,0.5,0,2,1,1,0,2,1,1,85,5120,35,405,30,Darkness Pokémon,42,1059860,0.5,60,Murkrow,50,dark,85,42,91,2.1,2,0
|
||||
2,2,1,2,1,0.5,0.5,1,2,2,1,0.5,1,1,0.5,1,0.5,0.5,75,5120,70,490,70,Royal Pokémon,80,1000000,2,95,Slowking,50,water,100,110,30,79.5,2,0
|
||||
0.5,2,1,1,1,0,1,1,2,1,1,1,0,0.5,1,1,1,1,60,6400,35,435,45,Screech Pokémon,60,800000,0.7,60,Misdreavus,50,ghost,85,85,85,1,2,0
|
||||
2,2,1,1,1,0.5,1,1,2,1,1,1,1,1,0.5,1,1,1,72,10240,70,336,225,Symbol Pokémon,48,1000000,0.5,48,Unown,,psychic,72,48,48,5,2,0
|
||||
2,2,1,1,1,0.5,1,1,2,1,1,1,1,1,0.5,1,1,1,33,5120,70,405,45,Patient Pokémon,58,1000000,1.3,190,Wobbuffet,50,psychic,33,58,33,28.5,2,0
|
||||
2,2,1,1,1,1,1,1,0,1,1,1,1,1,0.5,1,1,1,80,5120,70,455,60,Long Neck Pokémon,65,1000000,1.5,70,Girafarig,50,normal,90,65,85,41.5,2,0
|
||||
1,1,1,1,1,0.5,2,2,1,0.5,0.5,1,1,1,1,2,1,1,65,5120,70,290,190,Bagworm Pokémon,90,1000000,0.6,50,Pineco,50,bug,35,35,15,7.2,2,0
|
||||
0.5,1,0.5,1,0.5,1,4,1,1,0.25,1,0.5,0.5,0,0.5,1,0.5,1,90,5120,70,465,75,Bagworm Pokémon,140,1000000,1.2,75,Forretress,50,bug,60,60,40,125.8,2,0
|
||||
1,1,1,1,1,2,1,1,0,1,1,1,1,1,1,1,1,1,70,5120,70,415,190,Land Snake Pokémon,70,1000000,1.5,100,Dunsparce,50,normal,65,65,45,14,2,0
|
||||
0.5,1,1,0,1,0.5,1,1,1,1,0,4,1,0.5,1,1,1,2,75,5120,70,430,60,Flyscorpion Pokémon,105,1059860,1.1,65,Gligar,50,ground,35,65,85,64.8,2,0
|
||||
0.5,1,0.5,0,0.5,2,2,0.5,1,1,2,1,0.5,0,0.5,0.25,0.5,2,125,6400,70,610,25,Iron Snake Pokémon,230,1000000,9.2,75,Steelix,50,steel,55,95,30,400,2,0
|
||||
0.5,0.5,0,1,1,0.5,1,1,1,1,1,1,1,2,1,1,2,1,80,5120,70,300,190,Fairy Pokémon,50,800000,0.6,60,Snubbull,24.6,fairy,40,40,30,7.8,2,0
|
||||
0.5,0.5,0,1,1,0.5,1,1,1,1,1,1,1,2,1,1,2,1,120,5120,70,450,75,Fairy Pokémon,75,800000,1.4,90,Granbull,24.6,fairy,60,60,45,48.7,2,0
|
||||
0.5,1,1,2,0.5,0.5,0.5,1,1,1,2,0.5,1,0.5,2,1,0.5,0.5,95,5120,70,440,45,Balloon Pokémon,85,1000000,0.5,65,Qwilfish,50,water,55,55,85,3.9,2,0
|
||||
0.5,1,0.5,1,0.5,1,4,1,1,0.25,1,0.5,0.5,0,0.5,1,0.5,1,150,6400,70,600,25,Pincer Pokémon,140,1000000,1.8,70,Scizor,50,bug,65,100,75,118,2,0
|
||||
1,1,1,1,1,1,1,1,1,1,1,1,0.5,0.5,1,2,2,2,10,5120,70,505,190,Mold Pokémon,230,1059860,0.6,20,Shuckle,50,bug,10,230,5,20.5,2,0
|
||||
0.5,0.5,1,1,2,0.5,2,4,1,0.5,0.5,1,1,1,2,1,1,1,185,6400,70,600,45,Singlehorn Pokémon,115,1250000,1.5,80,Heracross,50,bug,40,105,75,54,2,0
|
||||
2,0.5,1,1,2,4,2,1,0.5,1,1,0.5,1,1,0,2,2,1,95,5120,35,430,60,Sharp Claw Pokémon,55,1059860,0.9,55,Sneasel,50,dark,35,75,115,28,2,0
|
||||
1,1,1,1,1,2,1,1,0,1,1,1,1,1,1,1,1,1,80,5120,70,330,120,Little Bear Pokémon,50,1000000,0.6,60,Teddiursa,50,normal,50,50,40,8.8,2,0
|
||||
1,1,1,1,1,2,1,1,0,1,1,1,1,1,1,1,1,1,130,5120,70,500,60,Hibernator Pokémon,75,1000000,1.8,90,Ursaring,50,normal,75,75,55,125.8,2,0
|
||||
0.5,1,1,1,0.5,1,0.5,1,1,0.5,2,0.5,1,1,1,2,0.5,2,40,5120,70,250,190,Lava Pokémon,40,1000000,0.7,40,Slugma,50,fire,70,40,20,35,2,0
|
||||
0.5,1,1,1,0.5,2,0.25,0.5,1,1,4,0.5,0.5,0.5,1,2,1,4,50,5120,70,430,75,Lava Pokémon,120,1000000,0.8,60,Magcargo,50,fire,90,80,30,55,2,0
|
||||
1,1,1,0,1,2,2,1,1,2,1,1,1,0.5,1,1,2,2,50,5120,70,250,225,Pig Pokémon,40,1250000,0.4,50,Swinub,50,ice,30,30,50,6.5,2,0
|
||||
1,1,1,0,1,2,2,1,1,2,1,1,1,0.5,1,1,2,2,100,5120,70,450,75,Swine Pokémon,80,1250000,1.1,100,Piloswine,50,ice,60,60,50,55.8,2,0
|
||||
1,1,1,2,1,2,0.25,0.5,1,4,2,0.5,0.5,0.5,1,1,1,1,55,5120,70,410,60,Coral Pokémon,95,800000,0.6,65,Corsola,24.6,water,65,95,35,5,2,0
|
||||
1,1,1,2,1,1,0.5,1,1,2,1,0.5,1,1,1,1,0.5,0.5,65,5120,70,300,190,Jet Pokémon,35,1000000,0.6,35,Remoraid,50,water,65,35,65,12,2,0
|
||||
1,1,1,2,1,1,0.5,1,1,2,1,0.5,1,1,1,1,0.5,0.5,105,5120,70,480,75,Jet Pokémon,75,1000000,0.9,75,Octillery,50,water,105,75,45,28.5,2,0
|
||||
0.5,1,1,2,1,1,2,1,1,0.5,0,1,1,1,1,4,2,1,55,5120,70,330,45,Delivery Pokémon,45,800000,0.9,45,Delibird,50,ice,65,45,75,16,2,0
|
||||
0.5,1,1,4,1,0.5,0.5,1,1,1,0,1,1,1,1,2,0.5,0.5,40,6400,70,485,25,Kite Pokémon,70,1250000,2.1,85,Mantine,50,water,80,140,70,220,2,0
|
||||
0.25,1,0.5,2,0.5,1,2,0.5,1,0.25,0,1,0.5,0,0.5,1,0.5,1,80,6400,70,465,25,Armor Bird Pokémon,140,1250000,1.7,65,Skarmory,50,steel,40,70,70,50.5,2,0
|
||||
1,0.5,1,1,1,2,0.5,1,0.5,0.5,2,0.5,1,1,0,2,0.5,2,60,5120,35,330,120,Dark Pokémon,30,1250000,0.6,45,Houndour,50,dark,80,50,65,10.8,2,0
|
||||
1,0.5,1,1,1,2,0.5,1,0.5,0.5,2,0.5,1,1,0,2,0.5,2,90,5120,35,600,45,Dark Pokémon,90,1250000,1.4,75,Houndoom,50,dark,140,90,115,35,2,0
|
||||
1,1,2,1,2,1,0.25,1,1,1,1,1,1,1,1,1,0.5,0.25,95,5120,70,540,45,Dragon Pokémon,95,1000000,1.8,75,Kingdra,50,water,95,95,85,152,2,0
|
||||
1,1,1,0,1,1,1,1,1,2,1,2,1,0.5,1,0.5,1,2,60,5120,70,330,120,Long Nose Pokémon,60,1000000,0.5,90,Phanpy,50,ground,40,40,40,33.5,2,0
|
||||
1,1,1,0,1,1,1,1,1,2,1,2,1,0.5,1,0.5,1,2,120,5120,70,500,60,Armor Pokémon,120,1000000,1.1,90,Donphan,50,ground,60,60,50,120,2,0
|
||||
1,1,1,1,1,2,1,1,0,1,1,1,1,1,1,1,1,1,80,5120,70,515,45,Virtual Pokémon,90,1000000,0.6,85,Porygon2,,normal,105,95,60,32.5,2,0
|
||||
1,1,1,1,1,2,1,1,0,1,1,1,1,1,1,1,1,1,95,5120,70,465,45,Big Horn Pokémon,62,1250000,1.4,73,Stantler,50,normal,85,65,85,71.2,2,0
|
||||
1,1,1,1,1,2,1,1,0,1,1,1,1,1,1,1,1,1,20,5120,70,250,45,Painter Pokémon,35,800000,1.2,55,Smeargle,50,normal,20,45,75,58,2,0
|
||||
0.5,0.5,1,1,2,1,1,2,1,1,1,1,1,1,2,0.5,1,1,35,6400,70,210,75,Scuffle Pokémon,35,1000000,0.7,35,Tyrogue,100,fighting,35,35,35,21,2,0
|
||||
0.5,0.5,1,1,2,1,1,2,1,1,1,1,1,1,2,0.5,1,1,95,6400,70,455,45,Handstand Pokémon,95,1000000,1.4,50,Hitmontop,100,fighting,35,110,70,48,2,0
|
||||
2,2,1,1,1,1,2,1,2,1,1,0.5,1,1,0.5,2,2,1,30,6400,70,305,45,Kiss Pokémon,15,1000000,0.4,45,Smoochum,0,ice,85,65,65,6,2,0
|
||||
1,1,1,0.5,1,1,1,0.5,1,1,2,1,1,1,1,1,0.5,1,63,6400,70,360,45,Electric Pokémon,37,1000000,0.6,45,Elekid,75.4,electric,65,55,95,23.5,2,0
|
||||
0.5,1,1,1,0.5,1,0.5,1,1,0.5,2,0.5,1,1,1,2,0.5,2,75,6400,70,365,45,Live Coal Pokémon,37,1000000,0.7,45,Magby,75.4,fire,70,55,83,21.4,2,0
|
||||
1,1,1,1,1,2,1,1,0,1,1,1,1,1,1,1,1,1,80,5120,70,490,45,Milk Cow Pokémon,105,1250000,1.2,95,Miltank,0,normal,40,70,100,75.5,2,0
|
||||
1,1,1,1,1,2,1,1,0,1,1,1,1,1,1,1,1,1,10,10240,140,540,30,Happiness Pokémon,10,800000,1.5,255,Blissey,0,normal,75,135,55,46.8,2,0
|
||||
1,1,1,0.5,1,1,1,0.5,1,1,2,1,1,1,1,1,0.5,1,85,20480,35,580,3,Thunder Pokémon,75,1250000,1.9,90,Raikou,,electric,115,100,115,178,2,1
|
||||
0.5,1,1,1,0.5,1,0.5,1,1,0.5,2,0.5,1,1,1,2,0.5,2,115,20480,35,580,3,Volcano Pokémon,85,1250000,2.1,115,Entei,,fire,90,75,100,198,2,1
|
||||
1,1,1,2,1,1,0.5,1,1,2,1,0.5,1,1,1,1,0.5,0.5,75,20480,35,580,3,Aurora Pokémon,115,1250000,2,100,Suicune,,water,90,115,85,187,2,1
|
||||
1,1,1,0,1,2,0.5,0.5,1,4,2,2,0.5,0.25,1,0.5,2,4,64,10240,35,300,45,Rock Skin Pokémon,50,1250000,0.6,50,Larvitar,50,rock,45,50,41,72,2,0
|
||||
1,1,1,0,1,2,0.5,0.5,1,4,2,2,0.5,0.25,1,0.5,2,4,84,10240,35,410,45,Hard Shell Pokémon,70,1250000,1.2,70,Pupitar,50,rock,65,70,51,152,2,0
|
||||
2,0.5,1,1,2,4,0.5,0.5,0.5,2,2,1,0.5,0.5,0,1,2,2,164,10240,35,700,45,Armor Pokémon,150,1250000,2,100,Tyranitar,50,rock,95,120,71,202,2,0
|
||||
1,2,1,2,1,0.25,1,1,2,0.5,0,2,1,1,0.5,2,1,1,90,30720,0,680,3,Diving Pokémon,130,1250000,5.2,106,Lugia,,psychic,90,154,110,216,2,1
|
||||
0.25,1,1,2,0.5,0.5,0.5,1,1,0.25,0,1,1,1,1,4,0.5,2,130,30720,0,680,3,Rainbow Pokémon,90,1250000,3.8,106,Ho-Oh,,fire,110,154,90,199,2,1
|
||||
4,2,1,0.5,1,0.5,2,2,2,0.5,0.5,2,1,2,0.5,1,1,0.5,100,30720,100,600,45,Time Travel Pokémon,100,1059860,0.6,100,Celebi,,psychic,100,100,100,5,2,1
|
||||
2,1,1,0.5,1,1,2,2,1,0.5,0.5,2,1,2,1,1,1,0.5,45,5120,70,310,45,Wood Gecko Pokémon,35,1059860,0.5,40,Treecko,88.1,grass,65,55,70,5,3,0
|
||||
2,1,1,0.5,1,1,2,2,1,0.5,0.5,2,1,2,1,1,1,0.5,65,5120,70,405,45,Wood Gecko Pokémon,45,1059860,0.9,50,Grovyle,88.1,grass,85,65,95,21.6,3,0
|
||||
2,1,1,0.5,1,1,2,2,1,0.5,0.5,2,1,2,1,1,1,0.5,110,5120,70,630,45,Forest Pokémon,75,1059860,1.7,70,Sceptile,88.1,grass,145,85,145,52.2,3,0
|
||||
0.5,1,1,1,0.5,1,0.5,1,1,0.5,2,0.5,1,1,1,2,0.5,2,60,5120,70,310,45,Chick Pokémon,40,1059860,0.4,45,Torchic,88.1,fire,70,50,45,2.5,3,0
|
||||
0.25,0.5,1,1,1,1,0.5,2,1,0.5,2,0.5,1,1,2,1,0.5,2,85,5120,70,405,45,Young Fowl Pokémon,60,1059860,0.9,60,Combusken,88.1,fire,85,60,55,19.5,3,0
|
||||
0.25,0.5,1,1,1,1,0.5,2,1,0.5,2,0.5,1,1,2,1,0.5,2,160,5120,70,630,45,Blaze Pokémon,80,1059860,1.9,80,Blaziken,88.1,fire,130,80,100,52,3,0
|
||||
1,1,1,2,1,1,0.5,1,1,2,1,0.5,1,1,1,1,0.5,0.5,70,5120,70,310,45,Mud Fish Pokémon,50,1059860,0.4,50,Mudkip,88.1,water,50,50,40,7.6,3,0
|
||||
1,1,1,0,1,1,0.5,1,1,4,1,1,1,0.5,1,0.5,0.5,1,85,5120,70,405,45,Mud Fish Pokémon,70,1059860,0.7,70,Marshtomp,88.1,water,60,70,50,28,3,0
|
||||
1,1,1,0,1,1,0.5,1,1,4,1,1,1,0.5,1,0.5,0.5,1,150,5120,70,635,45,Mud Fish Pokémon,110,1059860,1.5,100,Swampert,88.1,water,95,110,70,81.9,3,0
|
||||
2,0.5,1,1,2,2,1,1,0.5,1,1,1,1,1,0,1,1,1,55,3840,70,220,255,Bite Pokémon,35,1000000,0.5,35,Poochyena,50,dark,30,30,35,13.6,3,0
|
||||
2,0.5,1,1,2,2,1,1,0.5,1,1,1,1,1,0,1,1,1,90,3840,70,420,127,Bite Pokémon,70,1000000,1,70,Mightyena,50,dark,60,60,70,37,3,0
|
||||
1,1,1,1,1,2,1,1,0,1,1,1,1,1,1,1,1,1,30,3840,70,240,255,Tiny Racoon Pokémon,41,1000000,0.4,38,Zigzagoon,50,normal,30,41,60,17.5,3,0
|
||||
1,1,1,1,1,2,1,1,0,1,1,1,1,1,1,1,1,1,70,3840,70,420,90,Rush Pokémon,61,1000000,0.5,78,Linoone,50,normal,50,61,100,32.5,3,0
|
||||
1,1,1,1,1,0.5,2,2,1,0.5,0.5,1,1,1,1,2,1,1,45,3840,70,195,255,Worm Pokémon,35,1000000,0.3,45,Wurmple,50,bug,20,30,20,3.6,3,0
|
||||
1,1,1,1,1,0.5,2,2,1,0.5,0.5,1,1,1,1,2,1,1,35,3840,70,205,120,Cocoon Pokémon,55,1000000,0.6,50,Silcoon,50,bug,25,25,15,10,3,0
|
||||
0.5,1,1,2,1,0.25,2,2,1,0.25,0,2,1,1,1,4,1,1,70,3840,70,395,45,Butterfly Pokémon,50,1000000,1,60,Beautifly,50,bug,100,50,65,28.4,3,0
|
||||
1,1,1,1,1,0.5,2,2,1,0.5,0.5,1,1,1,1,2,1,1,35,3840,70,205,120,Cocoon Pokémon,55,1000000,0.7,50,Cascoon,50,bug,25,25,15,11.5,3,0
|
||||
0.5,1,1,1,0.5,0.25,2,2,1,0.25,1,1,1,0.5,2,2,1,1,50,3840,70,385,45,Poison Moth Pokémon,70,1000000,1.2,60,Dustox,50,bug,50,90,65,31.6,3,0
|
||||
2,1,1,1,1,1,1,2,1,1,0.5,1,1,2,1,1,0.5,0.25,30,3840,70,220,255,Water Weed Pokémon,30,1059860,0.5,40,Lotad,50,water,40,50,30,2.6,3,0
|
||||
2,1,1,1,1,1,1,2,1,1,0.5,1,1,2,1,1,0.5,0.25,50,3840,70,340,120,Jolly Pokémon,50,1059860,1.2,60,Lombre,50,water,60,70,50,32.5,3,0
|
||||
2,1,1,1,1,1,1,2,1,1,0.5,1,1,2,1,1,0.5,0.25,70,3840,70,480,45,Carefree Pokémon,70,1059860,1.5,80,Ludicolo,50,water,90,100,70,55,3,0
|
||||
2,1,1,0.5,1,1,2,2,1,0.5,0.5,2,1,2,1,1,1,0.5,40,3840,70,220,255,Acorn Pokémon,50,1059860,0.5,40,Seedot,50,grass,30,30,30,4,3,0
|
||||
4,0.5,1,0.5,2,2,2,2,0.5,0.5,0.5,2,1,2,0,1,1,0.5,70,3840,70,340,120,Wily Pokémon,40,1059860,1,70,Nuzleaf,50,grass,60,40,60,28,3,0
|
||||
4,0.5,1,0.5,2,2,2,2,0.5,0.5,0.5,2,1,2,0,1,1,0.5,100,3840,70,480,45,Wickid Pokémon,60,1059860,1.3,90,Shiftry,50,grass,90,60,80,59.6,3,0
|
||||
0.5,1,1,2,1,1,1,1,0,0.5,0,2,1,1,1,2,1,1,55,3840,70,270,200,TinySwallow Pokémon,30,1059860,0.3,40,Taillow,50,normal,30,30,85,2.3,3,0
|
||||
0.5,1,1,2,1,1,1,1,0,0.5,0,2,1,1,1,2,1,1,85,3840,70,455,45,Swallow Pokémon,60,1059860,0.7,60,Swellow,50,normal,75,50,125,19.8,3,0
|
||||
0.5,1,1,4,1,0.5,0.5,1,1,1,0,1,1,1,1,2,0.5,0.5,30,5120,70,270,190,Seagull Pokémon,30,1000000,0.6,40,Wingull,50,water,55,30,85,9.5,3,0
|
||||
0.5,1,1,4,1,0.5,0.5,1,1,1,0,1,1,1,1,2,0.5,0.5,50,5120,70,440,45,Water Bird Pokémon,100,1000000,1.2,60,Pelipper,50,water,95,70,65,28,3,0
|
||||
1,1,0,1,1,0.25,1,1,2,1,1,1,1,2,0.5,1,2,1,25,5120,35,198,235,Feeling Pokémon,25,1250000,0.4,28,Ralts,50,psychic,45,35,40,6.6,3,0
|
||||
1,1,0,1,1,0.25,1,1,2,1,1,1,1,2,0.5,1,2,1,35,5120,35,278,120,Emotion Pokémon,35,1250000,0.8,38,Kirlia,50,psychic,65,55,50,20.2,3,0
|
||||
1,1,0,1,1,0.25,1,1,2,1,1,1,1,2,0.5,1,2,1,85,5120,35,618,45,Embrace Pokémon,65,1250000,1.6,68,Gardevoir,50,psychic,165,135,100,48.4,3,0
|
||||
1,1,1,2,1,0.5,1,2,1,1,0.5,0.5,1,1,1,2,0.5,0.5,30,3840,70,269,200,Pond Skater Pokémon,32,1000000,0.5,40,Surskit,50,bug,50,52,65,1.7,3,0
|
||||
0.5,1,1,2,1,0.25,2,2,1,0.25,0,2,1,1,1,4,1,1,60,3840,70,454,75,Eyeball Pokémon,62,1000000,0.8,70,Masquerain,50,bug,100,82,80,3.6,3,0
|
||||
2,1,1,0.5,1,1,2,2,1,0.5,0.5,2,1,2,1,1,1,0.5,40,3840,70,295,255,Mushroom Pokémon,60,1640000,0.4,60,Shroomish,50,grass,40,60,35,4.5,3,0
|
||||
1,0.5,1,0.5,2,1,2,4,1,0.5,0.5,2,1,2,2,0.5,1,0.5,130,3840,70,460,90,Mushroom Pokémon,80,1640000,1.2,60,Breloom,50,grass,60,60,70,39.2,3,0
|
||||
1,1,1,1,1,2,1,1,0,1,1,1,1,1,1,1,1,1,60,3840,70,280,255,Slacker Pokémon,60,1250000,0.8,60,Slakoth,50,normal,35,35,30,24,3,0
|
||||
1,1,1,1,1,2,1,1,0,1,1,1,1,1,1,1,1,1,80,3840,70,440,120,Wild Monkey Pokémon,80,1250000,1.4,80,Vigoroth,50,normal,55,55,90,46.5,3,0
|
||||
1,1,1,1,1,2,1,1,0,1,1,1,1,1,1,1,1,1,160,3840,70,670,45,Lazy Pokémon,100,1250000,2,150,Slaking,50,normal,95,65,100,130.5,3,0
|
||||
1,1,1,0,1,0.5,2,2,1,1,0.5,2,1,0.5,1,1,1,2,45,3840,70,266,255,Trainee Pokémon,90,600000,0.5,31,Nincada,50,bug,30,30,40,5.5,3,0
|
||||
0.5,1,1,2,1,0.25,2,2,1,0.25,0,2,1,1,1,4,1,1,90,3840,70,456,120,Ninja Pokémon,45,600000,0.8,61,Ninjask,50,bug,50,50,160,12,3,0
|
||||
0.5,2,1,1,1,0,2,2,2,0.5,0.5,1,0,0.5,1,2,1,1,90,3840,70,236,45,Shed Pokémon,45,600000,0.8,1,Shedinja,,bug,30,30,40,1.2,3,0
|
||||
1,1,1,1,1,2,1,1,0,1,1,1,1,1,1,1,1,1,51,5120,70,240,190,Whisper Pokémon,23,1059860,0.6,64,Whismur,50,normal,51,23,28,16.3,3,0
|
||||
1,1,1,1,1,2,1,1,0,1,1,1,1,1,1,1,1,1,71,5120,70,360,120,Big Voice Pokémon,43,1059860,1,84,Loudred,50,normal,71,43,48,40.5,3,0
|
||||
1,1,1,1,1,2,1,1,0,1,1,1,1,1,1,1,1,1,91,5120,70,490,45,Loud Noise Pokémon,63,1059860,1.5,104,Exploud,50,normal,91,73,68,84,3,0
|
||||
0.5,0.5,1,1,2,1,1,2,1,1,1,1,1,1,2,0.5,1,1,60,5120,70,237,180,Guts Pokémon,30,1640000,1,72,Makuhita,75.4,fighting,20,30,25,86.4,3,0
|
||||
0.5,0.5,1,1,2,1,1,2,1,1,1,1,1,1,2,0.5,1,1,120,5120,70,474,200,Arm Thrust Pokémon,60,1640000,2.3,144,Hariyama,75.4,fighting,40,60,50,253.8,3,0
|
||||
0.5,0.5,0,1,1,1,1,1,0,1,1,1,1,2,1,1,2,1,20,2560,70,190,150,Polka Dot Pokémon,40,800000,0.2,50,Azurill,24.6,normal,20,40,20,2,3,0
|
||||
1,1,1,1,1,2,0.5,0.5,1,2,2,1,0.5,0.5,1,1,2,2,45,5120,70,375,255,Compass Pokémon,135,1000000,1,30,Nosepass,50,rock,45,90,30,97,3,0
|
||||
1,1,1,1,1,2,1,1,0,1,1,1,1,1,1,1,1,1,45,3840,70,260,255,Kitten Pokémon,45,800000,0.6,50,Skitty,24.6,normal,35,35,50,11,3,0
|
||||
1,1,1,1,1,2,1,1,0,1,1,1,1,1,1,1,1,1,65,3840,70,400,60,Prim Pokémon,65,800000,1.1,70,Delcatty,24.6,normal,55,55,90,32.6,3,0
|
||||
1,1,1,1,2,0,1,1,1,1,1,1,0,0.5,0,1,1,1,85,6400,35,480,45,Darkness Pokémon,125,1059860,0.5,50,Sableye,50,dark,85,115,20,11,3,0
|
||||
0.25,0.5,0,1,0.5,1,2,0.5,1,0.5,2,0.5,0.5,0,0.5,0.5,1,1,105,5120,70,480,45,Deceiver Pokémon,125,800000,0.6,50,Mawile,50,steel,55,95,50,11.5,3,0
|
||||
0.5,1,0.5,1,0.5,4,1,0.25,1,1,4,0.5,0.25,0,0.5,0.5,1,2,70,8960,35,330,180,Iron Armor Pokémon,100,1250000,0.4,50,Aron,50,steel,40,40,30,60,3,0
|
||||
0.5,1,0.5,1,0.5,4,1,0.25,1,1,4,0.5,0.25,0,0.5,0.5,1,2,90,8960,35,430,90,Iron Armor Pokémon,140,1250000,0.9,60,Lairon,50,steel,50,50,40,120,3,0
|
||||
0.5,1,0.5,1,0.5,4,1,0.25,1,1,4,0.5,0.25,0,0.5,0.5,1,2,140,8960,35,630,45,Iron Armor Pokémon,230,1250000,2.1,70,Aggron,50,steel,60,80,50,360,3,0
|
||||
1,1,1,1,2,0.5,1,2,2,1,1,1,1,1,1,0.5,1,1,40,5120,70,280,180,Meditate Pokémon,55,1000000,0.6,30,Meditite,50,fighting,40,55,60,11.2,3,0
|
||||
1,1,1,1,2,0.5,1,2,2,1,1,1,1,1,1,0.5,1,1,100,5120,70,510,90,Meditate Pokémon,85,1000000,1.3,60,Medicham,50,fighting,80,85,100,31.5,3,0
|
||||
1,1,1,0.5,1,1,1,0.5,1,1,2,1,1,1,1,1,0.5,1,45,5120,70,295,120,Lightning Pokémon,40,1250000,0.6,40,Electrike,50,electric,65,40,65,15.2,3,0
|
||||
1,1,1,0.5,1,1,1,0.5,1,1,2,1,1,1,1,1,0.5,1,75,5120,70,575,45,Discharge Pokémon,80,1250000,1.5,70,Manectric,50,electric,135,80,135,40.2,3,0
|
||||
1,1,1,0.5,1,1,1,0.5,1,1,2,1,1,1,1,1,0.5,1,50,5120,70,405,200,Cheering Pokémon,40,1000000,0.4,60,Plusle,50,electric,85,75,95,4.2,3,0
|
||||
1,1,1,0.5,1,1,1,0.5,1,1,2,1,1,1,1,1,0.5,1,40,5120,70,405,200,Cheering Pokémon,50,1000000,0.4,60,Minun,50,electric,75,85,95,4.2,3,0
|
||||
1,1,1,1,1,0.5,2,2,1,0.5,0.5,1,1,1,1,2,1,1,73,3840,70,430,150,Firefly Pokémon,75,600000,0.7,65,Volbeat,100,bug,47,85,85,17.7,3,0
|
||||
1,1,1,1,1,0.5,2,2,1,0.5,0.5,1,1,1,1,2,1,1,47,3840,70,430,150,Firefly Pokémon,75,1640000,0.6,65,Illumise,0,bug,73,85,85,17.7,3,0
|
||||
1,1,1,0.5,0.5,0.5,2,2,1,0.25,1,2,1,1,2,1,1,0.5,60,5120,70,400,150,Thorn Pokémon,45,1059860,0.3,50,Roselia,50,grass,100,80,65,2,3,0
|
||||
0.5,1,1,1,0.5,0.5,1,1,1,0.5,2,1,1,0.5,2,1,1,1,43,5120,70,302,225,Stomach Pokémon,53,1640000,0.4,70,Gulpin,50,poison,43,53,40,10.3,3,0
|
||||
0.5,1,1,1,0.5,0.5,1,1,1,0.5,2,1,1,0.5,2,1,1,1,73,5120,70,467,75,Poison Bag Pokémon,83,1640000,1.7,100,Swalot,50,poison,73,83,55,80,3,0
|
||||
2,0.5,1,2,2,2,0.5,1,0.5,2,1,0.5,1,1,0,1,0.5,0.5,90,5120,35,305,225,Savage Pokémon,20,1250000,0.8,45,Carvanha,50,water,65,20,65,20.8,3,0
|
||||
2,0.5,1,2,2,2,0.5,1,0.5,2,1,0.5,1,1,0,1,0.5,0.5,140,5120,35,560,60,Brutal Pokémon,70,1250000,1.8,70,Sharpedo,50,water,110,65,105,88.8,3,0
|
||||
1,1,1,2,1,1,0.5,1,1,2,1,0.5,1,1,1,1,0.5,0.5,70,10240,70,400,125,Ball Whale Pokémon,35,1640000,2,130,Wailmer,50,water,70,35,60,130,3,0
|
||||
1,1,1,2,1,1,0.5,1,1,2,1,0.5,1,1,1,1,0.5,0.5,90,10240,70,500,60,Float Whale Pokémon,45,1640000,14.5,170,Wailord,50,water,90,45,60,398,3,0
|
||||
0.5,1,1,0,0.5,1,0.5,1,1,1,2,1,1,0.5,1,1,0.5,4,60,5120,70,305,255,Numb Pokémon,40,1000000,0.7,60,Numel,50,fire,65,45,35,24,3,0
|
||||
0.5,1,1,0,0.5,1,0.5,1,1,1,2,1,1,0.5,1,1,0.5,4,120,5120,70,560,150,Eruption Pokémon,100,1000000,1.9,70,Camerupt,50,fire,145,105,20,220,3,0
|
||||
0.5,1,1,1,0.5,1,0.5,1,1,0.5,2,0.5,1,1,1,2,0.5,2,85,5120,70,470,90,Coal Pokémon,140,1000000,0.5,70,Torkoal,50,fire,85,70,20,80.4,3,0
|
||||
2,2,1,1,1,0.5,1,1,2,1,1,1,1,1,0.5,1,1,1,25,5120,70,330,255,Bounce Pokémon,35,800000,0.7,60,Spoink,50,psychic,70,80,60,30.6,3,0
|
||||
2,2,1,1,1,0.5,1,1,2,1,1,1,1,1,0.5,1,1,1,45,5120,70,470,60,Manipulate Pokémon,65,800000,0.9,80,Grumpig,50,psychic,90,110,80,71.5,3,0
|
||||
1,1,1,1,1,2,1,1,0,1,1,1,1,1,1,1,1,1,60,3840,70,360,255,Spot Panda Pokémon,60,800000,1.1,60,Spinda,50,normal,60,60,60,5,3,0
|
||||
1,1,1,0,1,1,1,1,1,2,1,2,1,0.5,1,0.5,1,2,100,5120,70,290,255,Ant Pit Pokémon,45,1059860,0.7,45,Trapinch,50,ground,45,45,10,15,3,0
|
||||
1,1,2,0,2,1,0.5,1,1,1,1,4,1,0.5,1,0.5,1,1,70,5120,70,340,120,Vibration Pokémon,50,1059860,1.1,50,Vibrava,50,ground,50,50,70,15.3,3,0
|
||||
1,1,2,0,2,1,0.5,1,1,1,1,4,1,0.5,1,0.5,1,1,100,5120,70,520,45,Mystic Pokémon,80,1059860,2,80,Flygon,50,ground,80,80,100,82,3,0
|
||||
2,1,1,0.5,1,1,2,2,1,0.5,0.5,2,1,2,1,1,1,0.5,85,5120,35,335,190,Cactus Pokémon,40,1059860,0.4,50,Cacnea,50,grass,85,40,35,51.3,3,0
|
||||
4,0.5,1,0.5,2,2,2,2,0.5,0.5,0.5,2,1,2,0,1,1,0.5,115,5120,35,475,60,Scarecrow Pokémon,60,1059860,1.3,70,Cacturne,50,grass,115,60,55,77.4,3,0
|
||||
0.5,1,1,2,1,1,1,1,0,0.5,0,2,1,1,1,2,1,1,40,5120,70,310,255,Cotton Bird Pokémon,60,600000,0.4,45,Swablu,50,normal,40,75,50,1.2,3,0
|
||||
0.5,1,2,1,2,0.5,0.5,1,1,0.25,0,4,1,1,1,2,1,0.5,110,5120,70,590,45,Humming Pokémon,110,600000,1.1,75,Altaria,50,dragon,110,105,80,20.6,3,0
|
||||
1,1,1,1,1,2,1,1,0,1,1,1,1,1,1,1,1,1,115,5120,70,458,90,Cat Ferret Pokémon,60,600000,1.3,73,Zangoose,50,normal,60,60,90,40.3,3,0
|
||||
0.5,1,1,1,0.5,0.5,1,1,1,0.5,2,1,1,0.5,2,1,1,1,100,5120,70,458,90,Fang Snake Pokémon,60,1640000,2.7,73,Seviper,50,poison,100,60,65,52.5,3,0
|
||||
2,2,1,1,1,1,0.5,0.5,2,2,2,1,0.5,0.5,0.5,1,2,2,55,6400,70,460,45,Meteorite Pokémon,65,800000,1,90,Lunatone,,rock,95,85,70,168,3,0
|
||||
2,2,1,1,1,1,0.5,0.5,2,2,2,1,0.5,0.5,0.5,1,2,2,95,6400,70,460,45,Meteorite Pokémon,85,800000,1.2,90,Solrock,,rock,55,65,70,154,3,0
|
||||
1,1,1,0,1,1,0.5,1,1,4,1,1,1,0.5,1,0.5,0.5,1,48,5120,70,288,190,Whiskers Pokémon,43,1000000,0.4,50,Barboach,50,water,46,41,60,1.9,3,0
|
||||
1,1,1,0,1,1,0.5,1,1,4,1,1,1,0.5,1,0.5,0.5,1,78,5120,70,468,75,Whiskers Pokémon,73,1000000,0.9,110,Whiscash,50,water,76,71,60,23.6,3,0
|
||||
1,1,1,2,1,1,0.5,1,1,2,1,0.5,1,1,1,1,0.5,0.5,80,3840,70,308,205,Ruffian Pokémon,65,1640000,0.6,43,Corphish,50,water,50,35,35,11.5,3,0
|
||||
2,0.5,1,2,2,2,0.5,1,0.5,2,1,0.5,1,1,0,1,0.5,0.5,120,3840,70,468,155,Rogue Pokémon,85,1640000,1.1,63,Crawdaunt,50,water,90,55,55,32.8,3,0
|
||||
2,2,1,0,1,0.5,1,1,2,2,1,2,1,0.5,0.5,0.5,1,2,40,5120,70,300,255,Clay Doll Pokémon,55,1000000,0.5,40,Baltoy,,ground,40,70,55,21.5,3,0
|
||||
2,2,1,0,1,0.5,1,1,2,2,1,2,1,0.5,0.5,0.5,1,2,70,5120,70,500,90,Clay Doll Pokémon,105,1000000,1.5,60,Claydol,,ground,70,120,75,108,3,0
|
||||
2,1,1,0.5,1,2,1,1,1,1,1,2,0.5,1,1,1,2,1,41,7680,70,355,45,Sea Lily Pokémon,77,600000,1,66,Lileep,88.1,rock,61,87,23,23.8,3,0
|
||||
2,1,1,0.5,1,2,1,1,1,1,1,2,0.5,1,1,1,2,1,81,7680,70,495,45,Barnacle Pokémon,97,600000,1.5,86,Cradily,88.1,rock,81,107,43,60.4,3,0
|
||||
1,1,1,1,1,1,1,1,1,1,1,1,0.5,0.5,1,2,2,2,95,7680,70,355,45,Old Shrimp Pokémon,50,600000,0.7,45,Anorith,88.1,rock,40,50,75,12.5,3,0
|
||||
1,1,1,1,1,1,1,1,1,1,1,1,0.5,0.5,1,2,2,2,125,7680,70,495,45,Plate Pokémon,100,600000,1.5,75,Armaldo,88.1,rock,70,80,45,68.2,3,0
|
||||
1,1,1,2,1,1,0.5,1,1,2,1,0.5,1,1,1,1,0.5,0.5,15,5120,70,200,255,Fish Pokémon,20,600000,0.6,20,Feebas,50,water,10,55,80,7.4,3,0
|
||||
1,1,1,2,1,1,0.5,1,1,2,1,0.5,1,1,1,1,0.5,0.5,60,5120,70,540,60,Tender Pokémon,79,600000,6.2,95,Milotic,50,water,100,125,81,162,3,0
|
||||
1,1,1,1,1,2,1,1,0,1,1,1,1,1,1,1,1,1,70,6400,70,420,45,Weather Pokémon,70,1000000,0.3,70,Castform,50,normal,70,70,70,0.8,3,0
|
||||
1,1,1,1,1,2,1,1,0,1,1,1,1,1,1,1,1,1,90,5120,70,440,200,Color Swap Pokémon,70,1059860,1,60,Kecleon,50,normal,60,120,40,22,3,0
|
||||
0.5,2,1,1,1,0,1,1,2,1,1,1,0,0.5,1,1,1,1,75,6400,35,295,225,Puppet Pokémon,35,800000,0.6,44,Shuppet,50,ghost,63,33,45,2.3,3,0
|
||||
0.5,2,1,1,1,0,1,1,2,1,1,1,0,0.5,1,1,1,1,165,6400,35,555,45,Marionette Pokémon,75,800000,1.1,64,Banette,50,ghost,93,83,75,12.5,3,0
|
||||
0.5,2,1,1,1,0,1,1,2,1,1,1,0,0.5,1,1,1,1,40,6400,35,295,190,Requiem Pokémon,90,800000,0.8,20,Duskull,50,ghost,30,90,25,15,3,0
|
||||
0.5,2,1,1,1,0,1,1,2,1,1,1,0,0.5,1,1,1,1,70,6400,35,455,90,Beckon Pokémon,130,800000,1.6,40,Dusclops,50,ghost,60,130,25,30.6,3,0
|
||||
1,1,1,1,1,0.5,2,2,1,0.25,0,4,1,2,1,2,1,0.5,68,6400,70,460,200,Fruit Pokémon,83,1250000,2,99,Tropius,50,grass,72,87,51,100,3,0
|
||||
2,2,1,1,1,0.5,1,1,2,1,1,1,1,1,0.5,1,1,1,50,6400,70,455,45,Wind Chime Pokémon,80,800000,0.6,75,Chimecho,50,psychic,95,90,65,1,3,0
|
||||
2,0.5,1,1,2,2,1,1,0.5,1,1,1,1,1,0,1,1,1,150,6400,35,565,30,Disaster Pokémon,60,1059860,1.2,65,Absol,50,dark,115,60,115,47,3,0
|
||||
2,2,1,1,1,0.5,1,1,2,1,1,1,1,1,0.5,1,1,1,23,5120,70,260,125,Bright Pokémon,48,1000000,0.6,95,Wynaut,50,psychic,23,48,23,14,3,0
|
||||
1,1,1,1,1,2,2,1,1,1,1,0.5,1,1,1,2,2,1,50,5120,70,300,190,Snow Hat Pokémon,50,1000000,0.7,50,Snorunt,50,ice,50,50,50,16.8,3,0
|
||||
1,1,1,1,1,2,2,1,1,1,1,0.5,1,1,1,2,2,1,120,5120,70,580,75,Face Pokémon,80,1000000,1.5,80,Glalie,50,ice,120,80,100,256.5,3,0
|
||||
1,1,1,2,1,2,1,1,1,2,1,0.25,1,1,1,2,1,0.5,40,5120,70,290,255,Clap Pokémon,50,1059860,0.8,70,Spheal,50,ice,55,50,25,39.5,3,0
|
||||
1,1,1,2,1,2,1,1,1,2,1,0.25,1,1,1,2,1,0.5,60,5120,70,410,120,Ball Roll Pokémon,70,1059860,1.1,90,Sealeo,50,ice,75,70,45,87.6,3,0
|
||||
1,1,1,2,1,2,1,1,1,2,1,0.25,1,1,1,2,1,0.5,80,5120,70,530,45,Ice Break Pokémon,90,1059860,1.4,110,Walrein,50,ice,95,90,65,150.6,3,0
|
||||
1,1,1,2,1,1,0.5,1,1,2,1,0.5,1,1,1,1,0.5,0.5,64,5120,70,345,255,Bivalve Pokémon,85,600000,0.4,35,Clamperl,50,water,74,55,32,52.5,3,0
|
||||
1,1,1,2,1,1,0.5,1,1,2,1,0.5,1,1,1,1,0.5,0.5,104,5120,70,485,60,Deep Sea Pokémon,105,600000,1.7,55,Huntail,50,water,94,75,52,27,3,0
|
||||
1,1,1,2,1,1,0.5,1,1,2,1,0.5,1,1,1,1,0.5,0.5,84,5120,70,485,60,South Sea Pokémon,105,600000,1.8,55,Gorebyss,50,water,114,75,52,22.6,3,0
|
||||
1,1,1,2,1,2,0.25,0.5,1,4,2,0.5,0.5,0.5,1,1,1,1,90,10240,70,485,25,Longevity Pokémon,130,1250000,1,100,Relicanth,88.1,water,45,65,55,23.4,3,0
|
||||
1,1,1,2,1,1,0.5,1,1,2,1,0.5,1,1,1,1,0.5,0.5,30,5120,70,330,225,Rendezvous Pokémon,55,800000,0.6,43,Luvdisc,24.6,water,40,65,97,8.7,3,0
|
||||
1,1,2,0.5,2,1,0.5,1,1,0.5,1,2,1,1,1,1,1,0.5,75,10240,35,300,45,Rock Head Pokémon,60,1250000,0.6,45,Bagon,50,dragon,40,30,50,42.1,3,0
|
||||
1,1,2,0.5,2,1,0.5,1,1,0.5,1,2,1,1,1,1,1,0.5,95,10240,35,420,45,Endurance Pokémon,100,1250000,1.1,65,Shelgon,50,dragon,60,50,50,110.5,3,0
|
||||
0.5,1,2,1,2,0.5,0.5,1,1,0.25,0,4,1,1,1,2,1,0.5,145,10240,35,700,45,Dragon Pokémon,130,1250000,1.5,95,Salamence,50,dragon,120,90,120,102.6,3,0
|
||||
1,2,0.5,1,0.5,1,2,0.5,2,0.5,2,0.5,0.5,0,0.25,0.5,0.5,1,55,10240,35,300,3,Iron Ball Pokémon,80,1250000,0.6,40,Beldum,,steel,35,60,30,95.2,3,0
|
||||
1,2,0.5,1,0.5,1,2,0.5,2,0.5,2,0.5,0.5,0,0.25,0.5,0.5,1,75,10240,35,420,3,Iron Claw Pokémon,100,1250000,1.2,60,Metang,,steel,55,80,50,202.5,3,0
|
||||
1,2,0.5,1,0.5,1,2,0.5,2,0.5,2,0.5,0.5,0,0.25,0.5,0.5,1,145,10240,35,700,3,Iron Leg Pokémon,150,1250000,1.6,80,Metagross,,steel,105,110,110,550,3,0
|
||||
1,1,1,1,1,2,0.5,0.5,1,2,2,1,0.5,0.5,1,1,2,2,100,20480,35,580,3,Rock Peak Pokémon,200,1250000,1.7,80,Regirock,,rock,50,100,50,230,3,1
|
||||
1,1,1,1,1,2,2,1,1,1,1,0.5,1,1,1,2,2,1,50,20480,35,580,3,Iceberg Pokémon,100,1250000,1.8,80,Regice,,ice,100,200,50,175,3,1
|
||||
0.5,1,0.5,1,0.5,2,2,0.5,1,0.5,2,0.5,0.5,0,0.5,0.5,0.5,1,75,20480,35,580,3,Iron Pokémon,150,1250000,1.9,80,Registeel,,steel,75,150,50,205,3,1
|
||||
2,2,2,0.5,2,0.5,0.5,1,2,0.5,1,2,1,1,0.5,1,1,0.5,100,30720,90,700,3,Eon Pokémon,120,1250000,1.4,80,Latias,0,dragon,140,150,110,40,3,1
|
||||
2,2,2,0.5,2,0.5,0.5,1,2,0.5,1,2,1,1,0.5,1,1,0.5,130,30720,90,700,3,Eon Pokémon,100,1250000,2,80,Latios,100,dragon,160,120,110,60,3,1
|
||||
1,1,1,2,1,1,0.5,1,1,2,1,0.5,1,1,1,1,0.5,0.5,150,30720,0,770,3,Sea Basin Pokémon,90,1250000,4.5,100,Kyogre,,water,180,160,90,352,3,1
|
||||
1,1,1,0,1,1,1,1,1,2,1,2,1,0.5,1,0.5,1,2,180,30720,0,770,3,Continent Pokémon,160,1250000,3.5,100,Groudon,,ground,150,90,90,950,3,1
|
||||
0.5,1,2,1,2,0.5,0.5,1,1,0.25,0,4,1,1,1,2,1,0.5,180,30720,0,780,45,Sky High Pokémon,100,1250000,7,105,Rayquaza,,dragon,180,100,115,206.5,3,1
|
||||
1,2,0.5,1,0.5,1,2,0.5,2,0.5,2,0.5,0.5,0,0.25,0.5,0.5,1,100,30720,100,600,3,Wish Pokémon,100,1250000,0.3,100,Jirachi,,steel,100,100,100,1.1,3,1
|
||||
2,2,1,1,1,0.5,1,1,2,1,1,1,1,1,0.5,1,1,1,95,30720,0,600,3,DNA Pokémon,90,1250000,1.7,50,Deoxys,,psychic,95,90,180,60.8,3,1
|
||||
2,1,1,0.5,1,1,2,2,1,0.5,0.5,2,1,2,1,1,1,0.5,68,5120,70,318,45,Tiny Leaf Pokémon,64,1059860,0.4,55,Turtwig,88.1,grass,45,55,31,10.2,4,0
|
||||
2,1,1,0.5,1,1,2,2,1,0.5,0.5,2,1,2,1,1,1,0.5,89,5120,70,405,45,Grove Pokémon,85,1059860,1.1,75,Grotle,88.1,grass,55,65,36,97,4,0
|
||||
2,1,1,0,1,1,2,2,1,1,0.5,4,1,1,1,0.5,1,1,109,5120,70,525,45,Continent Pokémon,105,1059860,2.2,95,Torterra,88.1,grass,75,85,56,310,4,0
|
||||
0.5,1,1,1,0.5,1,0.5,1,1,0.5,2,0.5,1,1,1,2,0.5,2,58,5120,70,309,45,Chimp Pokémon,44,1059860,0.5,44,Chimchar,88.1,fire,58,44,61,6.2,4,0
|
||||
0.25,0.5,1,1,1,1,0.5,2,1,0.5,2,0.5,1,1,2,1,0.5,2,78,5120,70,405,45,Playful Pokémon,52,1059860,0.9,64,Monferno,88.1,fire,78,52,81,22,4,0
|
||||
0.25,0.5,1,1,1,1,0.5,2,1,0.5,2,0.5,1,1,2,1,0.5,2,104,5120,70,534,45,Flame Pokémon,71,1059860,1.2,76,Infernape,88.1,fire,104,71,108,55,4,0
|
||||
1,1,1,2,1,1,0.5,1,1,2,1,0.5,1,1,1,1,0.5,0.5,51,5120,70,314,45,Penguin Pokémon,53,1059860,0.4,53,Piplup,88.1,water,61,56,40,5.2,4,0
|
||||
1,1,1,2,1,1,0.5,1,1,2,1,0.5,1,1,1,1,0.5,0.5,66,5120,70,405,45,Penguin Pokémon,68,1059860,0.8,64,Prinplup,88.1,water,81,76,50,23,4,0
|
||||
0.5,1,0.5,2,0.5,2,1,0.5,1,1,2,0.25,0.5,0,0.5,0.5,0.25,0.5,86,5120,70,530,45,Emperor Pokémon,88,1059860,1.7,84,Empoleon,88.1,water,111,101,60,84.5,4,0
|
||||
0.5,1,1,2,1,1,1,1,0,0.5,0,2,1,1,1,2,1,1,55,3840,70,245,255,Starling Pokémon,30,1059860,0.3,40,Starly,50,normal,30,30,60,2,4,0
|
||||
0.5,1,1,2,1,1,1,1,0,0.5,0,2,1,1,1,2,1,1,75,3840,70,340,120,Starling Pokémon,50,1059860,0.6,55,Staravia,50,normal,40,40,80,15.5,4,0
|
||||
0.5,1,1,2,1,1,1,1,0,0.5,0,2,1,1,1,2,1,1,120,3840,70,485,45,Predator Pokémon,70,1059860,1.2,85,Staraptor,50,normal,50,60,100,24.9,4,0
|
||||
1,1,1,1,1,2,1,1,0,1,1,1,1,1,1,1,1,1,45,3840,70,250,255,Plump Mouse Pokémon,40,1000000,0.5,59,Bidoof,50,normal,35,40,31,20,4,0
|
||||
1,1,1,2,1,2,0.5,1,0,2,1,0.5,1,1,1,1,0.5,0.5,85,3840,70,410,127,Beaver Pokémon,60,1000000,1,79,Bibarel,50,normal,55,60,71,31.5,4,0
|
||||
1,1,1,1,1,0.5,2,2,1,0.5,0.5,1,1,1,1,2,1,1,25,3840,70,194,255,Cricket Pokémon,41,1059860,0.3,37,Kricketot,50,bug,25,41,25,2.2,4,0
|
||||
1,1,1,1,1,0.5,2,2,1,0.5,0.5,1,1,1,1,2,1,1,85,3840,70,384,45,Cricket Pokémon,51,1059860,1,77,Kricketune,50,bug,55,51,65,25.5,4,0
|
||||
1,1,1,0.5,1,1,1,0.5,1,1,2,1,1,1,1,1,0.5,1,65,5120,70,263,235,Flash Pokémon,34,1059860,0.5,45,Shinx,50,electric,40,34,45,9.5,4,0
|
||||
1,1,1,0.5,1,1,1,0.5,1,1,2,1,1,1,1,1,0.5,1,85,5120,100,363,120,Spark Pokémon,49,1059860,0.9,60,Luxio,50,electric,60,49,60,30.5,4,0
|
||||
1,1,1,0.5,1,1,1,0.5,1,1,2,1,1,1,1,1,0.5,1,120,5120,70,523,45,Gleam Eyes Pokémon,79,1059860,1.4,80,Luxray,50,electric,95,79,70,42,4,0
|
||||
1,1,1,0.5,0.5,0.5,2,2,1,0.25,1,2,1,1,2,1,1,0.5,30,5120,70,280,255,Bud Pokémon,35,1059860,0.2,40,Budew,50,grass,50,70,55,1.2,4,0
|
||||
1,1,1,0.5,0.5,0.5,2,2,1,0.25,1,2,1,1,2,1,1,0.5,70,5120,70,515,75,Bouquet Pokémon,65,1059860,0.9,60,Roserade,50,grass,125,105,90,14.5,4,0
|
||||
1,1,1,1,1,2,0.5,0.5,1,2,2,1,0.5,0.5,1,1,2,2,125,7680,70,350,45,Head Butt Pokémon,40,600000,0.9,67,Cranidos,88.1,rock,30,30,58,31.5,4,0
|
||||
1,1,1,1,1,2,0.5,0.5,1,2,2,1,0.5,0.5,1,1,2,2,165,7680,70,495,45,Head Butt Pokémon,60,600000,1.6,97,Rampardos,88.1,rock,65,50,58,102.5,4,0
|
||||
0.5,1,0.5,1,0.5,4,1,0.25,1,1,4,0.5,0.25,0,0.5,0.5,1,2,42,7680,70,350,45,Shield Pokémon,118,600000,0.5,30,Shieldon,88.1,rock,42,88,30,57,4,0
|
||||
0.5,1,0.5,1,0.5,4,1,0.25,1,1,4,0.5,0.25,0,0.5,0.5,1,2,52,7680,70,495,45,Shield Pokémon,168,600000,1.3,60,Bastiodon,88.1,rock,47,138,30,149.5,4,0
|
||||
1,1,1,1,1,0.5,2,2,1,0.5,0.5,1,1,1,1,2,1,1,29,3840,70,224,120,Bagworm Pokémon,45,1000000,0.2,40,Burmy,50,bug,29,45,36,3.4,4,0
|
||||
2,1,1,0.5,1,0.5,4,4,1,0.25,0.25,2,1,2,1,2,1,0.5,69,3840,70,424,45,Bagworm Pokémon,95,1000000,0.5,60,Wormadam,0,bug,69,95,36,6.5,4,0
|
||||
0.5,1,1,2,1,0.25,2,2,1,0.25,0,2,1,1,1,4,1,1,94,3840,70,424,45,Moth Pokémon,50,1000000,0.9,70,Mothim,100,bug,94,50,66,23.3,4,0
|
||||
0.5,1,1,2,1,0.25,2,2,1,0.25,0,2,1,1,1,4,1,1,30,3840,70,244,120,Tiny Bee Pokémon,42,1059860,0.3,30,Combee,88.1,bug,30,42,70,5.5,4,0
|
||||
0.5,1,1,2,1,0.25,2,2,1,0.25,0,2,1,1,1,4,1,1,80,3840,70,474,45,Beehive Pokémon,102,1059860,1.2,70,Vespiquen,0,bug,80,102,40,38.5,4,0
|
||||
1,1,1,0.5,1,1,1,0.5,1,1,2,1,1,1,1,1,0.5,1,45,2560,100,405,200,EleSquirrel Pokémon,70,1000000,0.4,60,Pachirisu,50,electric,45,90,95,3.9,4,0
|
||||
1,1,1,2,1,1,0.5,1,1,2,1,0.5,1,1,1,1,0.5,0.5,65,5120,70,330,190,Sea Weasel Pokémon,35,1000000,0.7,55,Buizel,50,water,60,30,85,29.5,4,0
|
||||
1,1,1,2,1,1,0.5,1,1,2,1,0.5,1,1,1,1,0.5,0.5,105,5120,70,495,75,Sea Weasel Pokémon,55,1000000,1.1,85,Floatzel,50,water,85,50,115,33.5,4,0
|
||||
2,1,1,0.5,1,1,2,2,1,0.5,0.5,2,1,2,1,1,1,0.5,35,5120,70,275,190,Cherry Pokémon,45,1000000,0.4,45,Cherubi,50,grass,62,53,35,3.3,4,0
|
||||
2,1,1,0.5,1,1,2,2,1,0.5,0.5,2,1,2,1,1,1,0.5,60,5120,70,450,75,Blossom Pokémon,70,1000000,0.5,70,Cherrim,50,grass,87,78,85,9.3,4,0
|
||||
1,1,1,2,1,1,0.5,1,1,2,1,0.5,1,1,1,1,0.5,0.5,48,5120,70,325,190,Sea Slug Pokémon,48,1000000,0.3,76,Shellos,50,water,57,62,34,6.3,4,0
|
||||
1,1,1,0,1,1,0.5,1,1,4,1,1,1,0.5,1,0.5,0.5,1,83,5120,70,475,75,Sea Slug Pokémon,68,1000000,0.9,111,Gastrodon,50,water,92,82,39,29.9,4,0
|
||||
1,1,1,1,1,2,1,1,0,1,1,1,1,1,1,1,1,1,100,5120,100,482,45,Long Tail Pokémon,66,800000,1.2,75,Ambipom,50,normal,60,66,115,20.3,4,0
|
||||
0.25,2,1,2,1,0,1,1,2,0.5,0,2,0,0.5,1,2,1,1,50,7680,70,348,125,Balloon Pokémon,34,1640000,0.4,90,Drifloon,50,ghost,60,44,70,1.2,4,0
|
||||
0.25,2,1,2,1,0,1,1,2,0.5,0,2,0,0.5,1,2,1,1,80,7680,70,498,60,Blimp Pokémon,44,1640000,1.2,150,Drifblim,50,ghost,90,54,80,15,4,0
|
||||
1,1,1,1,1,2,1,1,0,1,1,1,1,1,1,1,1,1,66,5120,0,350,190,Rabbit Pokémon,44,1000000,0.4,55,Buneary,50,normal,44,56,85,5.5,4,0
|
||||
1,1,1,1,1,2,1,1,0,1,1,1,1,1,1,1,1,1,136,5120,140,580,60,Rabbit Pokémon,94,1000000,1.2,65,Lopunny,50,normal,54,96,135,33.3,4,0
|
||||
0.5,2,1,1,1,0,1,1,2,1,1,1,0,0.5,1,1,1,1,60,6400,35,495,45,Magical Pokémon,60,800000,0.9,60,Mismagius,50,ghost,105,105,105,4.4,4,0
|
||||
1,0.5,1,2,2,1,1,1,0.5,0.5,0,2,1,1,0,2,1,1,125,5120,35,505,30,Big Boss Pokémon,52,1059860,0.9,100,Honchkrow,50,dark,105,52,71,27.3,4,0
|
||||
1,1,1,1,1,2,1,1,0,1,1,1,1,1,1,1,1,1,55,5120,70,310,190,Catty Pokémon,42,800000,0.5,49,Glameow,24.6,normal,42,37,85,3.9,4,0
|
||||
1,1,1,1,1,2,1,1,0,1,1,1,1,1,1,1,1,1,82,5120,70,452,75,Tiger Cat Pokémon,64,800000,1,71,Purugly,24.6,normal,64,59,112,43.8,4,0
|
||||
2,2,1,1,1,0.5,1,1,2,1,1,1,1,1,0.5,1,1,1,30,6400,70,285,120,Bell Pokémon,50,800000,0.2,45,Chingling,50,psychic,65,50,45,0.6,4,0
|
||||
1,0.5,1,1,1,1,1,1,0.5,0.5,2,1,1,0.5,0,1,1,1,63,5120,70,329,225,Skunk Pokémon,47,1000000,0.4,63,Stunky,50,poison,41,41,74,19.2,4,0
|
||||
1,0.5,1,1,1,1,1,1,0.5,0.5,2,1,1,0.5,0,1,1,1,93,5120,70,479,60,Skunk Pokémon,67,1000000,1,103,Skuntank,50,poison,71,61,84,38,4,0
|
||||
1,2,0.5,1,0.5,1,2,0.5,2,0.5,2,0.5,0.5,0,0.25,0.5,0.5,1,24,5120,70,300,255,Bronze Pokémon,86,1000000,0.5,57,Bronzor,,steel,24,86,23,60.5,4,0
|
||||
1,2,0.5,1,0.5,1,2,0.5,2,0.5,2,0.5,0.5,0,0.25,0.5,0.5,1,89,5120,70,500,90,Bronze Bell Pokémon,116,1000000,1.3,67,Bronzong,,steel,79,116,33,187,4,0
|
||||
1,1,1,1,1,2,0.5,0.5,1,2,2,1,0.5,0.5,1,1,2,2,80,5120,70,290,255,Bonsai Pokémon,95,1000000,0.5,50,Bonsly,50,rock,10,45,10,15,4,0
|
||||
1,1,0,1,1,0.25,1,1,2,1,1,1,1,2,0.5,1,2,1,25,6400,70,310,145,Mime Pokémon,45,1000000,0.6,20,Mime Jr.,50,psychic,70,90,60,13,4,0
|
||||
1,1,1,1,1,2,1,1,0,1,1,1,1,1,1,1,1,1,5,10240,140,220,130,Playhouse Pokémon,5,800000,0.6,100,Happiny,0,normal,15,65,30,24.4,4,0
|
||||
0.5,1,1,2,1,1,1,1,0,0.5,0,2,1,1,1,2,1,1,65,5120,35,411,30,Music Note Pokémon,45,1059860,0.5,76,Chatot,50,normal,92,42,91,1.9,4,0
|
||||
1,1,1,1,2,0,1,1,1,1,1,1,0,0.5,0,1,1,1,92,7680,70,485,100,Forbidden Pokémon,108,1000000,1,50,Spiritomb,50,ghost,92,108,35,108,4,0
|
||||
1,1,2,0,2,1,0.5,1,1,1,1,4,1,0.5,1,0.5,1,1,70,10240,70,300,45,Land Shark Pokémon,45,1250000,0.7,58,Gible,50,dragon,40,45,42,20.5,4,0
|
||||
1,1,2,0,2,1,0.5,1,1,1,1,4,1,0.5,1,0.5,1,1,90,10240,70,410,45,Cave Pokémon,65,1250000,1.4,68,Gabite,50,dragon,50,55,82,56,4,0
|
||||
1,1,2,0,2,1,0.5,1,1,1,1,4,1,0.5,1,0.5,1,1,170,10240,70,700,45,Mach Pokémon,115,1250000,1.9,108,Garchomp,50,dragon,120,95,92,95,4,0
|
||||
1,1,1,1,1,2,1,1,0,1,1,1,1,1,1,1,1,1,85,10240,70,390,50,Big Eater Pokémon,40,1250000,0.6,135,Munchlax,88.1,normal,40,85,5,105,4,0
|
||||
0.5,0.5,1,1,2,1,1,2,1,1,1,1,1,1,2,0.5,1,1,70,6400,70,285,75,Emanation Pokémon,40,1059860,0.7,40,Riolu,88.1,fighting,35,40,60,20.2,4,0
|
||||
0.25,0.5,0.5,1,1,2,2,1,1,0.5,2,0.5,0.5,0,1,0.25,0.5,1,145,6400,70,625,45,Aura Pokémon,88,1059860,1.2,70,Lucario,88.1,fighting,140,70,112,54,4,0
|
||||
1,1,1,0,1,1,1,1,1,2,1,2,1,0.5,1,0.5,1,2,72,7680,70,330,140,Hippo Pokémon,78,1250000,0.8,68,Hippopotas,50,ground,38,42,32,49.5,4,0
|
||||
1,1,1,0,1,1,1,1,1,2,1,2,1,0.5,1,0.5,1,2,112,7680,70,525,60,Heavyweight Pokémon,118,1250000,2,108,Hippowdon,50,ground,68,72,47,300,4,0
|
||||
0.5,1,1,1,0.5,0.25,2,2,1,0.25,1,1,1,0.5,2,2,1,1,50,5120,70,330,120,Scorpion Pokémon,90,1250000,0.8,40,Skorupi,50,poison,30,55,65,12,4,0
|
||||
1,0.5,1,1,1,1,1,1,0.5,0.5,2,1,1,0.5,0,1,1,1,90,5120,70,500,45,Ogre Scorp Pokémon,110,1250000,1.3,70,Drapion,50,poison,60,75,95,61.5,4,0
|
||||
0.25,0.5,1,1,1,0.5,1,2,1,0.5,2,1,1,0.5,4,0.5,1,1,61,2560,100,300,140,Toxic Mouth Pokémon,40,1000000,0.7,48,Croagunk,50,poison,61,40,50,23,4,0
|
||||
0.25,0.5,1,1,1,0.5,1,2,1,0.5,2,1,1,0.5,4,0.5,1,1,106,5120,70,490,75,Toxic Mouth Pokémon,65,1000000,1.3,83,Toxicroak,50,poison,86,65,85,44.4,4,0
|
||||
2,1,1,0.5,1,1,2,2,1,0.5,0.5,2,1,2,1,1,1,0.5,100,6400,70,454,200,Bug Catcher Pokémon,72,1250000,1.4,74,Carnivine,50,grass,90,72,46,27,4,0
|
||||
1,1,1,2,1,1,0.5,1,1,2,1,0.5,1,1,1,1,0.5,0.5,49,5120,70,330,190,Wing Fish Pokémon,56,600000,0.4,49,Finneon,50,water,49,61,66,7,4,0
|
||||
1,1,1,2,1,1,0.5,1,1,2,1,0.5,1,1,1,1,0.5,0.5,69,5120,70,460,75,Neon Pokémon,76,600000,1.2,69,Lumineon,50,water,69,86,91,24,4,0
|
||||
0.5,1,1,4,1,0.5,0.5,1,1,1,0,1,1,1,1,2,0.5,0.5,20,6400,70,345,25,Kite Pokémon,50,1250000,1,45,Mantyke,50,water,60,120,50,65,4,0
|
||||
2,1,1,0.5,1,2,4,2,1,0.5,0.5,1,1,2,1,2,2,0.5,62,5120,70,334,120,Frosted Tree Pokémon,50,1250000,1,60,Snover,50,grass,62,60,40,50.5,4,0
|
||||
2,1,1,0.5,1,2,4,2,1,0.5,0.5,1,1,2,1,2,2,0.5,132,5120,70,594,60,Frosted Tree Pokémon,105,1250000,2.2,90,Abomasnow,50,grass,132,105,30,135.5,4,0
|
||||
2,0.5,1,1,2,4,2,1,0.5,1,1,0.5,1,1,0,2,2,1,120,5120,35,510,45,Sharp Claw Pokémon,65,1059860,1.1,70,Weavile,50,dark,45,85,125,34,4,0
|
||||
0.5,1,0.5,0.5,0.5,2,2,0.25,1,0.5,4,0.5,0.5,0,0.5,0.5,0.25,1,70,5120,70,535,30,Magnet Area Pokémon,115,1000000,1.2,70,Magnezone,,electric,130,90,60,180,4,0
|
||||
1,1,1,1,1,2,1,1,0,1,1,1,1,1,1,1,1,1,85,5120,70,515,30,Licking Pokémon,95,1000000,1.7,110,Lickilicky,50,normal,80,95,50,140,4,0
|
||||
1,1,1,0,1,2,0.5,0.5,1,4,2,2,0.5,0.25,1,0.5,2,4,140,5120,70,535,30,Drill Pokémon,130,1250000,2.4,115,Rhyperior,50,ground,55,55,40,282.8,4,0
|
||||
2,1,1,0.5,1,1,2,2,1,0.5,0.5,2,1,2,1,1,1,0.5,100,5120,70,535,30,Vine Pokémon,125,1000000,2,100,Tangrowth,50,grass,110,50,50,128.6,4,0
|
||||
1,1,1,0.5,1,1,1,0.5,1,1,2,1,1,1,1,1,0.5,1,123,6400,70,540,30,Thunderbolt Pokémon,67,1000000,1.8,75,Electivire,75.4,electric,95,85,95,138.6,4,0
|
||||
0.5,1,1,1,0.5,1,0.5,1,1,0.5,2,0.5,1,1,1,2,0.5,2,95,6400,70,540,30,Blast Pokémon,67,1000000,1.6,75,Magmortar,75.4,fire,125,95,83,68,4,0
|
||||
0.25,0.5,0,2,1,0.25,1,1,1,0.5,0,2,1,2,1,2,2,1,50,2560,70,545,30,Jubilee Pokémon,95,800000,1.5,85,Togekiss,88.1,fairy,120,115,80,38,4,0
|
||||
0.5,1,1,2,1,0.25,2,2,1,0.25,0,2,1,1,1,4,1,1,76,5120,70,515,30,Ogre Darner Pokémon,86,1000000,1.9,86,Yanmega,50,bug,116,56,95,51.5,4,0
|
||||
2,1,1,0.5,1,1,2,2,1,0.5,0.5,2,1,2,1,1,1,0.5,110,8960,35,525,45,Verdant Pokémon,130,1000000,1,65,Leafeon,88.1,grass,60,65,95,25.5,4,0
|
||||
1,1,1,1,1,2,2,1,1,1,1,0.5,1,1,1,2,2,1,60,8960,35,525,45,Fresh Snow Pokémon,110,1000000,0.8,65,Glaceon,88.1,ice,130,95,65,25.9,4,0
|
||||
0.5,1,1,0,1,0.5,1,1,1,1,0,4,1,0.5,1,1,1,2,95,5120,70,510,30,Fang Scorp Pokémon,125,1059860,2,75,Gliscor,50,ground,45,75,95,42.5,4,0
|
||||
1,1,1,0,1,2,2,1,1,2,1,1,1,0.5,1,1,2,2,130,5120,70,530,50,Twin Tusk Pokémon,80,1250000,2.5,110,Mamoswine,50,ice,70,60,80,291,4,0
|
||||
1,1,1,1,1,2,1,1,0,1,1,1,1,1,1,1,1,1,80,5120,70,535,30,Virtual Pokémon,70,1000000,0.9,85,Porygon-Z,,normal,135,75,90,34,4,0
|
||||
1,1,1,1,2,0.5,1,2,2,1,1,1,1,1,1,0.5,1,1,165,5120,35,618,45,Blade Pokémon,95,1250000,1.6,68,Gallade,100,psychic,65,115,110,52,4,0
|
||||
0.5,1,0.5,1,0.5,4,1,0.25,1,1,4,0.5,0.25,0,0.5,0.5,1,2,55,5120,70,525,60,Compass Pokémon,145,1000000,1.4,60,Probopass,50,rock,75,150,40,340,4,0
|
||||
0.5,2,1,1,1,0,1,1,2,1,1,1,0,0.5,1,1,1,1,100,6400,35,525,45,Gripper Pokémon,135,800000,2.2,45,Dusknoir,50,ghost,65,135,45,106.6,4,0
|
||||
0.5,2,1,1,1,0,2,1,2,1,1,0.5,0,0.5,1,2,2,1,80,5120,70,480,75,Snow Land Pokémon,70,1000000,1.3,70,Froslass,0,ice,80,70,110,26.6,4,0
|
||||
0.5,2,1,0.5,1,0,1,0.5,2,1,2,1,0,0.5,1,1,0.5,1,65,5120,70,520,45,Plasma Pokémon,107,1000000,0.3,50,Rotom,,electric,105,107,86,0.3,4,0
|
||||
2,2,1,1,1,0.5,1,1,2,1,1,1,1,1,0.5,1,1,1,75,20480,140,580,3,Knowledge Pokémon,130,1250000,0.3,75,Uxie,,psychic,75,130,95,0.3,4,1
|
||||
2,2,1,1,1,0.5,1,1,2,1,1,1,1,1,0.5,1,1,1,105,20480,140,580,3,Emotion Pokémon,105,1250000,0.3,80,Mesprit,,psychic,105,105,80,0.3,4,1
|
||||
2,2,1,1,1,0.5,1,1,2,1,1,1,1,1,0.5,1,1,1,125,20480,140,580,3,Willpower Pokémon,70,1250000,0.3,75,Azelf,,psychic,125,70,115,0.3,4,1
|
||||
0.5,1,1,0.5,1,2,1,0.5,1,0.25,2,1,0.5,0,0.5,0.5,0.5,0.5,120,30720,0,680,3,Temporal Pokémon,120,1250000,5.4,100,Dialga,,steel,150,100,90,683,4,1
|
||||
1,1,2,1,2,1,0.25,1,1,1,1,1,1,1,1,1,0.5,0.25,120,30720,0,680,3,Spatial Pokémon,100,1250000,4.2,90,Palkia,,water,150,120,100,336,4,1
|
||||
0.25,1,0.5,1,0.25,2,1,0.5,1,0.25,4,0.25,0.5,0,0.5,1,0.25,2,90,2560,100,600,3,Lava Dome Pokémon,106,1250000,1.7,91,Heatran,50,fire,130,106,77,430,4,1
|
||||
1,1,1,1,1,2,1,1,0,1,1,1,1,1,1,1,1,1,160,30720,0,670,3,Colossal Pokémon,110,1250000,3.7,110,Regigigas,,normal,80,110,100,420,4,1
|
||||
0.5,2,2,0.5,2,0,0.5,1,2,0.5,1,2,0,0.5,1,1,1,0.5,120,30720,0,680,3,Renegade Pokémon,100,1250000,4.5,150,Giratina,,ghost,120,100,90,750,4,1
|
||||
2,2,1,1,1,0.5,1,1,2,1,1,1,1,1,0.5,1,1,1,70,30720,100,600,3,Lunar Pokémon,120,1250000,1.5,120,Cresselia,0,psychic,75,130,85,85.6,4,1
|
||||
1,1,1,2,1,1,0.5,1,1,2,1,0.5,1,1,1,1,0.5,0.5,80,10240,70,480,30,Sea Drifter Pokémon,80,1250000,0.4,80,Phione,,water,80,80,80,3.1,4,0
|
||||
1,1,1,2,1,1,0.5,1,1,2,1,0.5,1,1,1,1,0.5,0.5,100,2560,70,600,3,Seafaring Pokémon,100,1250000,0.3,100,Manaphy,,water,100,100,100,1.4,4,1
|
||||
2,0.5,1,1,2,2,1,1,0.5,1,1,1,1,1,0,1,1,1,90,30720,0,600,3,Pitch-Black Pokémon,90,1250000,1.5,70,Darkrai,,dark,135,90,125,50.5,4,1
|
||||
2,1,1,0.5,1,1,2,2,1,0.5,0.5,2,1,2,1,1,1,0.5,103,30720,100,600,45,Gratitude Pokémon,75,1059860,0.2,100,Shaymin,,grass,120,75,127,2.1,4,1
|
||||
1,1,1,1,1,2,1,1,0,1,1,1,1,1,1,1,1,1,120,30720,0,720,3,Alpha Pokémon,120,1250000,3.2,120,Arceus,,normal,120,120,120,320,4,1
|
||||
1,2,1,1,0.5,0.5,0.5,1,2,0.5,2,0.5,1,1,0.5,2,0.5,2,100,30720,100,600,3,Victory Pokémon,100,1250000,0.4,100,Victini,,psychic,100,100,100,4,5,1
|
||||
2,1,1,0.5,1,1,2,2,1,0.5,0.5,2,1,2,1,1,1,0.5,45,5120,70,308,45,Grass Snake Pokémon,55,1059860,0.6,45,Snivy,88.1,grass,45,55,63,8.1,5,0
|
||||
2,1,1,0.5,1,1,2,2,1,0.5,0.5,2,1,2,1,1,1,0.5,60,5120,70,413,45,Grass Snake Pokémon,75,1059860,0.8,60,Servine,88.1,grass,60,75,83,16,5,0
|
||||
2,1,1,0.5,1,1,2,2,1,0.5,0.5,2,1,2,1,1,1,0.5,75,5120,70,528,45,Regal Pokémon,95,1059860,3.3,75,Serperior,88.1,grass,75,95,113,63,5,0
|
||||
0.5,1,1,1,0.5,1,0.5,1,1,0.5,2,0.5,1,1,1,2,0.5,2,63,5120,70,308,45,Fire Pig Pokémon,45,1059860,0.5,65,Tepig,88.1,fire,45,45,45,9.9,5,0
|
||||
0.25,0.5,1,1,1,1,0.5,2,1,0.5,2,0.5,1,1,2,1,0.5,2,93,5120,70,418,45,Fire Pig Pokémon,55,1059860,1,90,Pignite,88.1,fire,70,55,55,55.5,5,0
|
||||
0.25,0.5,1,1,1,1,0.5,2,1,0.5,2,0.5,1,1,2,1,0.5,2,123,5120,70,528,45,Mega Fire Pig Pokémon,65,1059860,1.6,110,Emboar,88.1,fire,100,65,65,150,5,0
|
||||
1,1,1,2,1,1,0.5,1,1,2,1,0.5,1,1,1,1,0.5,0.5,55,5120,70,308,45,Sea Otter Pokémon,45,1059860,0.5,55,Oshawott,88.1,water,63,45,45,5.9,5,0
|
||||
1,1,1,2,1,1,0.5,1,1,2,1,0.5,1,1,1,1,0.5,0.5,75,5120,70,413,45,Discipline Pokémon,60,1059860,0.8,75,Dewott,88.1,water,83,60,60,24.5,5,0
|
||||
1,1,1,2,1,1,0.5,1,1,2,1,0.5,1,1,1,1,0.5,0.5,100,5120,70,528,45,Formidable Pokémon,85,1059860,1.5,95,Samurott,88.1,water,108,70,70,94.6,5,0
|
||||
1,1,1,1,1,2,1,1,0,1,1,1,1,1,1,1,1,1,55,3840,70,255,255,Scout Pokémon,39,1000000,0.5,45,Patrat,50,normal,35,39,42,11.6,5,0
|
||||
1,1,1,1,1,2,1,1,0,1,1,1,1,1,1,1,1,1,85,5120,70,420,255,Lookout Pokémon,69,1000000,1.1,60,Watchog,50,normal,60,69,77,27,5,0
|
||||
1,1,1,1,1,2,1,1,0,1,1,1,1,1,1,1,1,1,60,3840,70,275,255,Puppy Pokémon,45,1059860,0.4,45,Lillipup,50,normal,25,45,55,4.1,5,0
|
||||
1,1,1,1,1,2,1,1,0,1,1,1,1,1,1,1,1,1,80,3840,70,370,120,Loyal Dog Pokémon,65,1059860,0.9,65,Herdier,50,normal,35,65,60,14.7,5,0
|
||||
1,1,1,1,1,2,1,1,0,1,1,1,1,1,1,1,1,1,110,3840,70,500,45,Big-Hearted Pokémon,90,1059860,1.2,85,Stoutland,50,normal,45,90,80,61,5,0
|
||||
2,0.5,1,1,2,2,1,1,0.5,1,1,1,1,1,0,1,1,1,50,5120,70,281,255,Devious Pokémon,37,1000000,0.4,41,Purrloin,50,dark,50,37,66,10.1,5,0
|
||||
2,0.5,1,1,2,2,1,1,0.5,1,1,1,1,1,0,1,1,1,88,5120,70,446,90,Cruel Pokémon,50,1000000,1.1,64,Liepard,50,dark,88,50,106,37.5,5,0
|
||||
2,1,1,0.5,1,1,2,2,1,0.5,0.5,2,1,2,1,1,1,0.5,53,5120,70,316,190,Grass Monkey Pokémon,48,1000000,0.6,50,Pansage,88.1,grass,53,48,64,10.5,5,0
|
||||
2,1,1,0.5,1,1,2,2,1,0.5,0.5,2,1,2,1,1,1,0.5,98,5120,70,498,75,Thorn Monkey Pokémon,63,1000000,1.1,75,Simisage,88.1,grass,98,63,101,30.5,5,0
|
||||
0.5,1,1,1,0.5,1,0.5,1,1,0.5,2,0.5,1,1,1,2,0.5,2,53,5120,70,316,190,High Temp Pokémon,48,1000000,0.6,50,Pansear,88.1,fire,53,48,64,11,5,0
|
||||
0.5,1,1,1,0.5,1,0.5,1,1,0.5,2,0.5,1,1,1,2,0.5,2,98,5120,70,498,75,Ember Pokémon,63,1000000,1,75,Simisear,88.1,fire,98,63,101,28,5,0
|
||||
1,1,1,2,1,1,0.5,1,1,2,1,0.5,1,1,1,1,0.5,0.5,53,5120,70,316,190,Spray Pokémon,48,1000000,0.6,50,Panpour,88.1,water,53,48,64,13.5,5,0
|
||||
1,1,1,2,1,1,0.5,1,1,2,1,0.5,1,1,1,1,0.5,0.5,98,5120,70,498,75,Geyser Pokémon,63,1000000,1,75,Simipour,88.1,water,98,63,101,29,5,0
|
||||
2,2,1,1,1,0.5,1,1,2,1,1,1,1,1,0.5,1,1,1,25,2560,70,292,190,Dream Eater Pokémon,45,800000,0.6,76,Munna,50,psychic,67,55,24,23.3,5,0
|
||||
2,2,1,1,1,0.5,1,1,2,1,1,1,1,1,0.5,1,1,1,55,2560,70,487,75,Drowsing Pokémon,85,800000,1.1,116,Musharna,50,psychic,107,95,29,60.5,5,0
|
||||
0.5,1,1,2,1,1,1,1,0,0.5,0,2,1,1,1,2,1,1,55,3840,70,264,255,Tiny Pigeon Pokémon,50,1059860,0.3,50,Pidove,50,normal,36,30,43,2.1,5,0
|
||||
0.5,1,1,2,1,1,1,1,0,0.5,0,2,1,1,1,2,1,1,77,3840,70,358,120,Wild Pigeon Pokémon,62,1059860,0.6,62,Tranquill,50,normal,50,42,65,15,5,0
|
||||
0.5,1,1,2,1,1,1,1,0,0.5,0,2,1,1,1,2,1,1,115,3840,70,488,45,Proud Pokémon,80,1059860,1.2,80,Unfezant,50,normal,65,55,93,29,5,0
|
||||
1,1,1,0.5,1,1,1,0.5,1,1,2,1,1,1,1,1,0.5,1,60,5120,70,295,190,Electrified Pokémon,32,1000000,0.8,45,Blitzle,50,electric,50,32,76,29.8,5,0
|
||||
1,1,1,0.5,1,1,1,0.5,1,1,2,1,1,1,1,1,0.5,1,100,5120,70,497,75,Thunderbolt Pokémon,63,1000000,1.6,75,Zebstrika,50,electric,80,63,116,79.5,5,0
|
||||
1,1,1,1,1,2,0.5,0.5,1,2,2,1,0.5,0.5,1,1,2,2,75,3840,70,280,255,Mantle Pokémon,85,1059860,0.4,55,Roggenrola,50,rock,25,25,15,18,5,0
|
||||
1,1,1,1,1,2,0.5,0.5,1,2,2,1,0.5,0.5,1,1,2,2,105,3840,70,390,120,Ore Pokémon,105,1059860,0.9,70,Boldore,50,rock,50,40,20,102,5,0
|
||||
1,1,1,1,1,2,0.5,0.5,1,2,2,1,0.5,0.5,1,1,2,2,135,3840,70,515,45,Compressed Pokémon,130,1059860,1.7,85,Gigalith,50,rock,60,80,25,260,5,0
|
||||
1,2,1,2,1,0.25,1,1,2,0.5,0,2,1,1,0.5,2,1,1,45,3840,70,323,190,Bat Pokémon,43,1000000,0.4,65,Woobat,50,psychic,55,43,72,2.1,5,0
|
||||
1,2,1,2,1,0.25,1,1,2,0.5,0,2,1,1,0.5,2,1,1,57,3840,70,425,45,Courting Pokémon,55,1000000,0.9,67,Swoobat,50,psychic,77,55,114,10.5,5,0
|
||||
1,1,1,0,1,1,1,1,1,2,1,2,1,0.5,1,0.5,1,2,85,5120,70,328,120,Mole Pokémon,40,1000000,0.3,60,Drilbur,50,ground,30,45,68,8.5,5,0
|
||||
0.5,1,0.5,0,0.5,2,2,0.5,1,1,2,1,0.5,0,0.5,0.25,0.5,2,135,5120,70,508,60,Subterrene Pokémon,60,1000000,0.7,110,Excadrill,50,ground,50,65,88,40.4,5,0
|
||||
1,1,1,1,1,2,1,1,0,1,1,1,1,1,1,1,1,1,60,5120,70,545,255,Hearing Pokémon,126,800000,1.1,103,Audino,50,normal,80,126,50,31,5,0
|
||||
0.5,0.5,1,1,2,1,1,2,1,1,1,1,1,1,2,0.5,1,1,80,5120,70,305,180,Muscular Pokémon,55,1059860,0.6,75,Timburr,75.4,fighting,25,35,35,12.5,5,0
|
||||
0.5,0.5,1,1,2,1,1,2,1,1,1,1,1,1,2,0.5,1,1,105,5120,70,405,90,Muscular Pokémon,85,1059860,1.2,85,Gurdurr,75.4,fighting,40,50,40,40,5,0
|
||||
0.5,0.5,1,1,2,1,1,2,1,1,1,1,1,1,2,0.5,1,1,140,5120,70,505,45,Muscular Pokémon,95,1059860,1.4,105,Conkeldurr,75.4,fighting,55,65,45,87,5,0
|
||||
1,1,1,2,1,1,0.5,1,1,2,1,0.5,1,1,1,1,0.5,0.5,50,5120,70,294,255,Tadpole Pokémon,40,1059860,0.5,50,Tympole,50,water,50,40,64,4.5,5,0
|
||||
1,1,1,0,1,1,0.5,1,1,4,1,1,1,0.5,1,0.5,0.5,1,65,5120,70,384,120,Vibration Pokémon,55,1059860,0.8,75,Palpitoad,50,water,65,55,69,17,5,0
|
||||
1,1,1,0,1,1,0.5,1,1,4,1,1,1,0.5,1,0.5,0.5,1,95,5120,70,509,45,Vibration Pokémon,75,1059860,1.5,105,Seismitoad,50,water,85,75,74,62,5,0
|
||||
0.5,0.5,1,1,2,1,1,2,1,1,1,1,1,1,2,0.5,1,1,100,5120,70,465,45,Judo Pokémon,85,1000000,1.3,120,Throh,100,fighting,30,85,45,55.5,5,0
|
||||
0.5,0.5,1,1,2,1,1,2,1,1,1,1,1,1,2,0.5,1,1,125,5120,70,465,45,Karate Pokémon,75,1000000,1.4,75,Sawk,100,fighting,30,75,85,51,5,0
|
||||
2,1,1,0.5,1,0.5,4,4,1,0.25,0.25,2,1,2,1,2,1,0.5,53,3840,70,310,255,Sewing Pokémon,70,1059860,0.3,45,Sewaddle,50,bug,40,60,42,2.5,5,0
|
||||
2,1,1,0.5,1,0.5,4,4,1,0.25,0.25,2,1,2,1,2,1,0.5,63,3840,70,380,120,Leaf-Wrapped Pokémon,90,1059860,0.5,55,Swadloon,50,bug,50,80,42,7.3,5,0
|
||||
2,1,1,0.5,1,0.5,4,4,1,0.25,0.25,2,1,2,1,2,1,0.5,103,3840,70,500,45,Nurturing Pokémon,80,1059860,1.2,75,Leavanny,50,bug,70,80,92,20.5,5,0
|
||||
0.5,1,1,1,0.5,0.25,2,2,1,0.25,1,1,1,0.5,2,2,1,1,45,3840,70,260,255,Centipede Pokémon,59,1059860,0.4,30,Venipede,50,bug,30,39,57,5.3,5,0
|
||||
0.5,1,1,1,0.5,0.25,2,2,1,0.25,1,1,1,0.5,2,2,1,1,55,3840,70,360,120,Curlipede Pokémon,99,1059860,1.2,40,Whirlipede,50,bug,40,79,47,58.5,5,0
|
||||
0.5,1,1,1,0.5,0.25,2,2,1,0.25,1,1,1,0.5,2,2,1,1,100,5120,70,485,45,Megapede Pokémon,89,1059860,2.5,60,Scolipede,50,bug,55,69,112,200.5,5,0
|
||||
1,0.5,0,0.5,1,0.5,2,2,1,0.5,0.5,2,1,4,1,1,2,0.5,27,5120,70,280,190,Cotton Puff Pokémon,60,1000000,0.3,40,Cottonee,50,grass,37,50,66,0.6,5,0
|
||||
1,0.5,0,0.5,1,0.5,2,2,1,0.5,0.5,2,1,4,1,1,2,0.5,67,5120,70,480,75,Windveiled Pokémon,85,1000000,0.7,60,Whimsicott,50,grass,77,75,116,6.6,5,0
|
||||
2,1,1,0.5,1,1,2,2,1,0.5,0.5,2,1,2,1,1,1,0.5,35,5120,70,280,190,Bulb Pokémon,50,1000000,0.5,45,Petilil,0,grass,70,50,30,6.6,5,0
|
||||
2,1,1,0.5,1,1,2,2,1,0.5,0.5,2,1,2,1,1,1,0.5,60,5120,70,480,75,Flowering Pokémon,75,1000000,1.1,70,Lilligant,0,grass,110,75,90,16.3,5,0
|
||||
1,1,1,2,1,1,0.5,1,1,2,1,0.5,1,1,1,1,0.5,0.5,92,10240,70,460,25,Hostile Pokémon,65,1000000,1,70,Basculin,50,water,80,55,98,18,5,0
|
||||
2,0.5,1,0,2,2,1,1,0.5,2,1,2,1,0.5,0,0.5,1,2,72,5120,70,292,180,Desert Croc Pokémon,35,1059860,0.7,50,Sandile,50,ground,35,35,65,15.2,5,0
|
||||
2,0.5,1,0,2,2,1,1,0.5,2,1,2,1,0.5,0,0.5,1,2,82,5120,70,351,90,Desert Croc Pokémon,45,1059860,1,60,Krokorok,50,ground,45,45,74,33.4,5,0
|
||||
2,0.5,1,0,2,2,1,1,0.5,2,1,2,1,0.5,0,0.5,1,2,117,5120,70,519,45,Intimidation Pokémon,80,1059860,1.5,95,Krookodile,50,ground,65,70,92,96.3,5,0
|
||||
0.5,1,1,1,0.5,1,0.5,1,1,0.5,2,0.5,1,1,1,2,0.5,2,90,5120,70,315,120,Zen Charm Pokémon,45,1059860,0.6,70,Darumaka,50,fire,15,45,50,37.5,5,0
|
||||
0.5,1,1,1,0.5,1,0.5,1,1,0.5,2,0.5,1,1,1,2,0.5,2,30,5120,70,540,60,Blazing Pokémon,105,1059860,1.3,105,Darmanitan,50,fire,140,105,55,92.9,5,0
|
||||
2,1,1,0.5,1,1,2,2,1,0.5,0.5,2,1,2,1,1,1,0.5,86,5120,70,461,255,Cactus Pokémon,67,1000000,1,75,Maractus,50,grass,106,67,60,28,5,0
|
||||
1,1,1,1,1,1,1,1,1,1,1,1,0.5,0.5,1,2,2,2,65,5120,70,325,190,Rock Inn Pokémon,85,1000000,0.3,50,Dwebble,50,bug,35,35,55,14.5,5,0
|
||||
1,1,1,1,1,1,1,1,1,1,1,1,0.5,0.5,1,2,2,2,105,5120,70,485,75,Stone Home Pokémon,125,1000000,1.4,70,Crustle,50,bug,65,75,45,200,5,0
|
||||
1,0.25,1,1,4,2,1,2,0.5,1,1,1,1,1,0,0.5,1,1,75,3840,35,348,180,Shedding Pokémon,70,1000000,0.6,50,Scraggy,50,dark,35,70,48,11.8,5,0
|
||||
1,0.25,1,1,4,2,1,2,0.5,1,1,1,1,1,0,0.5,1,1,90,3840,70,488,90,Hoodlum Pokémon,115,1000000,1.1,65,Scrafty,50,dark,45,115,58,30,5,0
|
||||
1,2,1,2,1,0.25,1,1,2,0.5,0,2,1,1,0.5,2,1,1,58,5120,70,490,45,Avianoid Pokémon,80,1000000,1.4,72,Sigilyph,50,psychic,103,80,97,14,5,0
|
||||
0.5,2,1,1,1,0,1,1,2,1,1,1,0,0.5,1,1,1,1,30,6400,70,303,190,Spirit Pokémon,85,1000000,0.5,38,Yamask,50,ghost,55,65,30,1.5,5,0
|
||||
0.5,2,1,1,1,0,1,1,2,1,1,1,0,0.5,1,1,1,1,50,6400,70,483,90,Coffin Pokémon,145,1000000,1.7,58,Cofagrigus,50,ghost,95,105,30,76.5,5,0
|
||||
1,1,1,2,1,2,0.25,0.5,1,4,2,0.5,0.5,0.5,1,1,1,1,78,7680,70,355,45,Prototurtle Pokémon,103,1000000,0.7,54,Tirtouga,88.1,water,53,45,22,16.5,5,0
|
||||
1,1,1,2,1,2,0.25,0.5,1,4,2,0.5,0.5,0.5,1,1,1,1,108,7680,70,495,45,Prototurtle Pokémon,133,1000000,1.2,74,Carracosta,88.1,water,83,65,32,81,5,0
|
||||
0.5,1,1,2,1,1,0.5,0.5,1,1,0,2,0.5,0.5,1,2,2,2,112,7680,70,401,45,First Bird Pokémon,45,1000000,0.5,55,Archen,88.1,rock,74,45,70,9.5,5,0
|
||||
0.5,1,1,2,1,1,0.5,0.5,1,1,0,2,0.5,0.5,1,2,2,2,140,7680,70,567,45,First Bird Pokémon,65,1000000,1.4,75,Archeops,88.1,rock,112,65,110,32,5,0
|
||||
0.5,1,1,1,0.5,0.5,1,1,1,0.5,2,1,1,0.5,2,1,1,1,50,5120,70,329,190,Trash Bag Pokémon,62,1000000,0.6,50,Trubbish,50,poison,40,62,65,31,5,0
|
||||
0.5,1,1,1,0.5,0.5,1,1,1,0.5,2,1,1,0.5,2,1,1,1,95,5120,70,474,60,Trash Heap Pokémon,82,1000000,1.9,80,Garbodor,50,poison,60,82,75,107.3,5,0
|
||||
2,0.5,1,1,2,2,1,1,0.5,1,1,1,1,1,0,1,1,1,65,6400,70,330,75,Tricky Fox Pokémon,40,1059860,0.7,40,Zorua,88.1,dark,80,40,65,12.5,5,0
|
||||
2,0.5,1,1,2,2,1,1,0.5,1,1,1,1,1,0,1,1,1,105,5120,70,510,45,Illusion Fox Pokémon,60,1059860,1.6,60,Zoroark,88.1,dark,120,60,105,81.1,5,0
|
||||
1,1,1,1,1,2,1,1,0,1,1,1,1,1,1,1,1,1,50,3840,70,300,255,Chinchilla Pokémon,40,800000,0.4,55,Minccino,24.6,normal,40,40,75,5.8,5,0
|
||||
1,1,1,1,1,2,1,1,0,1,1,1,1,1,1,1,1,1,95,3840,70,470,60,Scarf Pokémon,60,800000,0.5,75,Cinccino,24.6,normal,65,60,115,7.5,5,0
|
||||
2,2,1,1,1,0.5,1,1,2,1,1,1,1,1,0.5,1,1,1,30,5120,70,290,200,Fixation Pokémon,50,1059860,0.4,45,Gothita,24.6,psychic,55,65,45,5.8,5,0
|
||||
2,2,1,1,1,0.5,1,1,2,1,1,1,1,1,0.5,1,1,1,45,5120,70,390,100,Manipulate Pokémon,70,1059860,0.7,60,Gothorita,24.6,psychic,75,85,55,18,5,0
|
||||
2,2,1,1,1,0.5,1,1,2,1,1,1,1,1,0.5,1,1,1,55,5120,70,490,50,Astral Body Pokémon,95,1059860,1.5,70,Gothitelle,24.6,psychic,95,110,65,44,5,0
|
||||
2,2,1,1,1,0.5,1,1,2,1,1,1,1,1,0.5,1,1,1,30,5120,70,290,200,Cell Pokémon,40,1059860,0.3,45,Solosis,50,psychic,105,50,20,1,5,0
|
||||
2,2,1,1,1,0.5,1,1,2,1,1,1,1,1,0.5,1,1,1,40,5120,70,370,100,Mitosis Pokémon,50,1059860,0.6,65,Duosion,50,psychic,125,60,30,8,5,0
|
||||
2,2,1,1,1,0.5,1,1,2,1,1,1,1,1,0.5,1,1,1,65,5120,70,490,50,Multiplying Pokémon,75,1059860,1,110,Reuniclus,50,psychic,125,85,30,20.1,5,0
|
||||
0.5,1,1,4,1,0.5,0.5,1,1,1,0,1,1,1,1,2,0.5,0.5,44,5120,70,305,190,Water Bird Pokémon,50,1000000,0.5,62,Ducklett,50,water,44,50,55,5.5,5,0
|
||||
0.5,1,1,4,1,0.5,0.5,1,1,1,0,1,1,1,1,2,0.5,0.5,87,5120,70,473,45,White Bird Pokémon,63,1000000,1.3,75,Swanna,50,water,87,63,98,24.2,5,0
|
||||
1,1,1,1,1,2,2,1,1,1,1,0.5,1,1,1,2,2,1,50,5120,70,305,255,Fresh Snow Pokémon,50,1250000,0.4,36,Vanillite,50,ice,65,60,44,5.7,5,0
|
||||
1,1,1,1,1,2,2,1,1,1,1,0.5,1,1,1,2,2,1,65,5120,70,395,120,Icy Snow Pokémon,65,1250000,1.1,51,Vanillish,50,ice,80,75,59,41,5,0
|
||||
1,1,1,1,1,2,2,1,1,1,1,0.5,1,1,1,2,2,1,95,5120,70,535,45,Snowstorm Pokémon,85,1250000,1.3,71,Vanilluxe,50,ice,110,95,79,57.5,5,0
|
||||
2,1,1,0.5,1,2,2,2,0,0.5,0.5,2,1,2,1,1,1,0.5,60,5120,70,335,190,Season Pokémon,50,1000000,0.6,60,Deerling,50,normal,40,50,75,19.5,5,0
|
||||
2,1,1,0.5,1,2,2,2,0,0.5,0.5,2,1,2,1,1,1,0.5,100,5120,70,475,75,Season Pokémon,70,1000000,1.9,80,Sawsbuck,50,normal,60,70,95,92.5,5,0
|
||||
0.5,1,1,1,1,0.5,1,0.5,1,0.5,0,2,1,1,1,2,0.5,1,75,5120,70,428,200,Sky Squirrel Pokémon,60,1000000,0.4,55,Emolga,50,electric,75,60,103,5,5,0
|
||||
1,1,1,1,1,0.5,2,2,1,0.5,0.5,1,1,1,1,2,1,1,75,3840,70,315,200,Clamping Pokémon,45,1000000,0.5,50,Karrablast,50,bug,40,45,60,5.9,5,0
|
||||
0.5,1,0.5,1,0.5,1,4,1,1,0.25,1,0.5,0.5,0,0.5,1,0.5,1,135,3840,70,495,75,Cavalry Pokémon,105,1000000,1,70,Escavalier,50,bug,60,105,20,33,5,0
|
||||
1,1,1,0.5,0.5,0.5,2,2,1,0.25,1,2,1,1,2,1,1,0.5,55,5120,70,294,190,Mushroom Pokémon,45,1000000,0.2,69,Foongus,50,grass,55,55,15,1,5,0
|
||||
1,1,1,0.5,0.5,0.5,2,2,1,0.25,1,2,1,1,2,1,1,0.5,85,5120,70,464,75,Mushroom Pokémon,70,1000000,0.6,114,Amoonguss,50,grass,85,80,30,10.5,5,0
|
||||
0.5,2,1,2,1,0,0.5,1,2,2,1,0.5,0,0.5,1,1,0.5,0.5,40,5120,70,335,190,Floating Pokémon,50,1000000,1.2,55,Frillish,50,water,65,85,40,33,5,0
|
||||
0.5,2,1,2,1,0,0.5,1,2,2,1,0.5,0,0.5,1,1,0.5,0.5,60,5120,70,480,60,Floating Pokémon,70,1000000,2.2,100,Jellicent,50,water,85,105,60,135,5,0
|
||||
1,1,1,2,1,1,0.5,1,1,2,1,0.5,1,1,1,1,0.5,0.5,75,10240,70,470,75,Caring Pokémon,80,800000,1.2,165,Alomomola,50,water,40,45,65,31.6,5,0
|
||||
1,1,1,0.5,1,0.5,2,1,1,0.5,1,1,1,1,1,2,0.5,1,47,5120,70,319,190,Attaching Pokémon,50,1000000,0.1,50,Joltik,50,bug,57,50,65,0.6,5,0
|
||||
1,1,1,0.5,1,0.5,2,1,1,0.5,1,1,1,1,1,2,0.5,1,77,5120,70,472,75,EleSpider Pokémon,60,1000000,0.8,70,Galvantula,50,bug,97,60,108,14.3,5,0
|
||||
1,1,0.5,0.5,0.5,2,4,1,1,0.25,1,1,0.5,0,0.5,0.5,0.5,0.5,50,5120,70,305,255,Thorn Seed Pokémon,91,1000000,0.6,44,Ferroseed,50,grass,24,86,10,18.8,5,0
|
||||
1,1,0.5,0.5,0.5,2,4,1,1,0.25,1,1,0.5,0,0.5,0.5,0.5,0.5,94,5120,70,489,90,Thorn Pod Pokémon,131,1000000,1,74,Ferrothorn,50,grass,54,116,20,110,5,0
|
||||
0.5,1,0.5,1,0.5,2,2,0.5,1,0.5,2,0.5,0.5,0,0.5,0.5,0.5,1,55,5120,70,300,130,Gear Pokémon,70,1059860,0.3,40,Klink,,steel,45,60,30,21,5,0
|
||||
0.5,1,0.5,1,0.5,2,2,0.5,1,0.5,2,0.5,0.5,0,0.5,0.5,0.5,1,80,5120,70,440,60,Gear Pokémon,95,1059860,0.6,60,Klang,,steel,70,85,50,51,5,0
|
||||
0.5,1,0.5,1,0.5,2,2,0.5,1,0.5,2,0.5,0.5,0,0.5,0.5,0.5,1,100,5120,70,520,30,Gear Pokémon,115,1059860,0.6,60,Klinklang,,steel,70,85,90,81,5,0
|
||||
1,1,1,0.5,1,1,1,0.5,1,1,2,1,1,1,1,1,0.5,1,55,5120,70,275,190,EleFish Pokémon,40,1250000,0.2,35,Tynamo,50,electric,45,40,60,0.3,5,0
|
||||
1,1,1,0.5,1,1,1,0.5,1,1,2,1,1,1,1,1,0.5,1,85,5120,70,405,60,EleFish Pokémon,70,1250000,1.2,65,Eelektrik,50,electric,75,70,40,22,5,0
|
||||
1,1,1,0.5,1,1,1,0.5,1,1,2,1,1,1,1,1,0.5,1,115,5120,70,515,30,EleFish Pokémon,80,1250000,2.1,85,Eelektross,50,electric,105,80,50,80.5,5,0
|
||||
2,2,1,1,1,0.5,1,1,2,1,1,1,1,1,0.5,1,1,1,55,5120,70,335,255,Cerebral Pokémon,55,1000000,0.5,55,Elgyem,50,psychic,85,55,30,9,5,0
|
||||
2,2,1,1,1,0.5,1,1,2,1,1,1,1,1,0.5,1,1,1,75,5120,70,485,90,Cerebral Pokémon,75,1000000,1,75,Beheeyem,50,psychic,125,95,40,34.5,5,0
|
||||
0.25,2,1,1,0.5,0,0.5,1,2,0.5,2,0.5,0,0.5,1,2,0.5,2,30,5120,70,275,190,Candle Pokémon,55,1059860,0.3,50,Litwick,50,ghost,65,55,20,3.1,5,0
|
||||
0.25,2,1,1,0.5,0,0.5,1,2,0.5,2,0.5,0,0.5,1,2,0.5,2,40,5120,70,370,90,Lamp Pokémon,60,1059860,0.6,60,Lampent,50,ghost,95,60,55,13,5,0
|
||||
0.25,2,1,1,0.5,0,0.5,1,2,0.5,2,0.5,0,0.5,1,2,0.5,2,55,5120,70,520,45,Luring Pokémon,90,1059860,1,60,Chandelure,50,ghost,145,90,80,34.3,5,0
|
||||
1,1,2,0.5,2,1,0.5,1,1,0.5,1,2,1,1,1,1,1,0.5,87,10240,35,320,75,Tusk Pokémon,60,1250000,0.6,46,Axew,50,dragon,30,40,57,18,5,0
|
||||
1,1,2,0.5,2,1,0.5,1,1,0.5,1,2,1,1,1,1,1,0.5,117,10240,35,410,60,Axe Jaw Pokémon,70,1250000,1,66,Fraxure,50,dragon,40,50,67,36,5,0
|
||||
1,1,2,0.5,2,1,0.5,1,1,0.5,1,2,1,1,1,1,1,0.5,147,10240,35,540,45,Axe Jaw Pokémon,90,1250000,1.8,76,Haxorus,50,dragon,60,70,97,105.5,5,0
|
||||
1,1,1,1,1,2,2,1,1,1,1,0.5,1,1,1,2,2,1,70,5120,70,305,120,Chill Pokémon,40,1000000,0.5,55,Cubchoo,50,ice,60,40,40,8.5,5,0
|
||||
1,1,1,1,1,2,2,1,1,1,1,0.5,1,1,1,2,2,1,130,5120,70,505,60,Freezing Pokémon,80,1000000,2.6,95,Beartic,50,ice,70,80,50,260,5,0
|
||||
1,1,1,1,1,2,2,1,1,1,1,0.5,1,1,1,2,2,1,50,6400,70,515,25,Crystallizing Pokémon,50,1000000,1.1,80,Cryogonal,,ice,95,135,105,148,5,0
|
||||
1,1,1,1,1,0.5,2,2,1,0.5,0.5,1,1,1,1,2,1,1,40,3840,70,305,200,Snail Pokémon,85,1000000,0.4,50,Shelmet,50,bug,40,65,25,7.7,5,0
|
||||
1,1,1,1,1,0.5,2,2,1,0.5,0.5,1,1,1,1,2,1,1,70,3840,70,495,75,Shell Out Pokémon,40,1000000,0.8,80,Accelgor,50,bug,100,60,145,25.3,5,0
|
||||
1,1,1,0,1,1,1,0.5,1,2,2,2,1,0.5,1,0.5,0.5,2,66,5120,70,471,75,Trap Pokémon,84,1000000,0.7,109,Stunfisk,50,ground,81,99,32,11,5,0
|
||||
0.5,0.5,1,1,2,1,1,2,1,1,1,1,1,1,2,0.5,1,1,85,6400,70,350,180,Martial Arts Pokémon,50,1059860,0.9,45,Mienfoo,50,fighting,55,50,65,20,5,0
|
||||
0.5,0.5,1,1,2,1,1,2,1,1,1,1,1,1,2,0.5,1,1,125,6400,70,510,45,Martial Arts Pokémon,60,1059860,1.4,65,Mienshao,50,fighting,95,60,105,35.5,5,0
|
||||
1,1,2,0.5,2,1,0.5,1,1,0.5,1,2,1,1,1,1,1,0.5,120,7680,70,485,45,Cave Pokémon,90,1000000,1.6,77,Druddigon,50,dragon,60,90,48,139,5,0
|
||||
0.5,2,1,0,1,0,1,1,2,2,1,2,0,0.25,1,0.5,1,2,74,6400,70,303,190,Automaton Pokémon,50,1000000,1,59,Golett,,ground,35,50,35,92,5,0
|
||||
0.5,2,1,0,1,0,1,1,2,2,1,2,0,0.25,1,0.5,1,2,124,6400,70,483,90,Automaton Pokémon,80,1000000,2.8,89,Golurk,,ground,55,80,55,330,5,0
|
||||
1,0.5,0.5,1,1,4,2,0.5,0.5,0.5,2,0.5,0.5,0,0,0.5,0.5,1,85,5120,35,340,120,Sharp Blade Pokémon,70,1000000,0.5,45,Pawniard,50,dark,40,40,60,10.2,5,0
|
||||
1,0.5,0.5,1,1,4,2,0.5,0.5,0.5,2,0.5,0.5,0,0,0.5,0.5,1,125,5120,35,490,45,Sword Blade Pokémon,100,1000000,1.6,65,Bisharp,50,dark,60,70,70,70,5,0
|
||||
1,1,1,1,1,2,1,1,0,1,1,1,1,1,1,1,1,1,110,5120,70,490,45,Bash Buffalo Pokémon,95,1000000,1.6,95,Bouffalant,50,normal,40,95,55,94.6,5,0
|
||||
0.5,1,1,2,1,1,1,1,0,0.5,0,2,1,1,1,2,1,1,83,5120,70,350,190,Eaglet Pokémon,50,1250000,0.5,70,Rufflet,100,normal,37,50,60,10.5,5,0
|
||||
0.5,1,1,2,1,1,1,1,0,0.5,0,2,1,1,1,2,1,1,123,5120,70,510,60,Valiant Pokémon,75,1250000,1.5,100,Braviary,100,normal,57,75,80,41,5,0
|
||||
1,0.5,1,2,2,1,1,1,0.5,0.5,0,2,1,1,0,2,1,1,55,5120,35,370,190,Diapered Pokémon,75,1250000,0.5,70,Vullaby,0,dark,45,65,60,9,5,0
|
||||
1,0.5,1,2,2,1,1,1,0.5,0.5,0,2,1,1,0,2,1,1,65,5120,35,510,60,Bone Vulture Pokémon,105,1250000,1.2,110,Mandibuzz,0,dark,55,95,80,39.5,5,0
|
||||
0.5,1,1,1,0.5,1,0.5,1,1,0.5,2,0.5,1,1,1,2,0.5,2,97,5120,70,484,90,Anteater Pokémon,66,1000000,1.4,85,Heatmor,50,fire,105,66,65,58,5,0
|
||||
0.5,1,0.5,1,0.5,1,4,1,1,0.25,1,0.5,0.5,0,0.5,1,0.5,1,109,5120,70,484,90,Iron Ant Pokémon,112,1000000,0.3,58,Durant,50,bug,48,48,109,33,5,0
|
||||
2,0.5,2,0.5,4,2,0.5,1,0.5,0.5,1,2,1,1,0,1,1,0.5,65,10240,35,300,45,Irate Pokémon,50,1250000,0.8,52,Deino,50,dark,45,50,38,17.3,5,0
|
||||
2,0.5,2,0.5,4,2,0.5,1,0.5,0.5,1,2,1,1,0,1,1,0.5,85,10240,35,420,45,Hostile Pokémon,70,1250000,1.4,72,Zweilous,50,dark,65,70,58,50,5,0
|
||||
2,0.5,2,0.5,4,2,0.5,1,0.5,0.5,1,2,1,1,0,1,1,0.5,105,10240,35,600,45,Brutal Pokémon,90,1250000,1.8,92,Hydreigon,50,dark,125,90,98,160,5,0
|
||||
0.5,1,1,1,0.5,0.5,1,2,1,0.25,1,0.5,1,1,1,4,0.5,2,85,10240,70,360,45,Torch Pokémon,55,1250000,1.1,55,Larvesta,50,bug,50,55,60,28.8,5,0
|
||||
0.5,1,1,1,0.5,0.5,1,2,1,0.25,1,0.5,1,1,1,4,0.5,2,60,10240,70,550,15,Sun Pokémon,65,1250000,1.6,85,Volcarona,50,bug,135,105,100,46,5,0
|
||||
0.25,0.5,0.5,1,1,2,2,1,1,0.5,2,0.5,0.5,0,1,0.25,0.5,1,90,20480,35,580,3,Iron Will Pokémon,129,1250000,2.1,91,Cobalion,,steel,90,72,108,250,5,1
|
||||
0.5,0.5,1,1,2,2,0.5,1,1,2,2,1,0.5,0.5,2,0.5,2,2,129,20480,35,580,3,Cavern Pokémon,90,1250000,1.9,91,Terrakion,,rock,72,90,108,260,5,1
|
||||
1,0.5,1,0.5,2,1,2,4,1,0.5,0.5,2,1,2,2,0.5,1,0.5,90,20480,35,580,3,Grassland Pokémon,72,1250000,2,91,Virizion,,grass,90,129,108,200,5,1
|
||||
0.5,1,1,2,1,0.5,1,1,1,0.5,0,2,1,1,1,2,1,1,100,30720,90,580,3,Cyclone Pokémon,80,1250000,1.5,79,Tornadus,100,fighting,110,90,121,63,5,1
|
||||
0.5,1,1,1,1,0.5,1,0.5,1,0.5,0,2,1,1,1,2,0.5,1,105,30720,90,580,3,Bolt Strike Pokémon,70,1250000,1.5,79,Thundurus,100,electric,145,80,101,61,5,1
|
||||
0.5,1,2,0.5,1,1,0.25,1,1,0.25,2,1,1,1,1,2,0.5,1,120,30720,0,680,3,Vast White Pokémon,100,1250000,3.2,100,Reshiram,,dragon,150,120,90,330,5,1
|
||||
1,1,2,0.25,2,1,0.5,0.5,1,0.5,2,2,1,1,1,1,0.5,0.5,150,30720,0,680,3,Deep Black Pokémon,120,1250000,2.9,100,Zekrom,,dragon,120,100,90,345,5,1
|
||||
0.5,1,1,0,1,0.5,1,1,1,1,0,4,1,0.5,1,1,1,2,145,30720,90,600,3,Abundance Pokémon,90,1250000,1.5,89,Landorus,100,ground,105,80,91,68,5,1
|
||||
1,1,2,0.5,2,2,1,1,1,0.5,1,1,1,1,1,2,2,0.5,120,30720,0,700,3,Boundary Pokémon,90,1250000,3,125,Kyurem,,dragon,170,100,95,325,5,1
|
||||
0.5,0.5,1,2,2,1,0.5,2,1,2,1,0.5,1,1,2,0.5,0.5,0.5,72,20480,35,580,3,Colt Pokémon,90,1250000,1.4,91,Keldeo,,water,129,90,108,48.5,5,1
|
||||
2,2,1,1,1,1,1,1,0,1,1,1,1,1,0.5,1,1,1,128,30720,100,600,3,Melody Pokémon,90,1250000,0.6,100,Meloetta,,normal,77,77,128,6.5,5,1
|
||||
0.5,1,0.5,1,0.5,1,4,1,1,0.25,1,0.5,0.5,0,0.5,1,0.5,1,120,30720,0,600,3,Paleozoic Pokémon,95,1250000,1.5,71,Genesect,,bug,120,95,99,82.5,5,1
|
||||
2,1,1,0.5,1,1,2,2,1,0.5,0.5,2,1,2,1,1,1,0.5,61,5120,70,313,45,Spiky Nut Pokémon,65,1059860,0.4,56,Chespin,88.1,grass,48,45,38,9,6,0
|
||||
2,1,1,0.5,1,1,2,2,1,0.5,0.5,2,1,2,1,1,1,0.5,78,5120,70,405,45,Spiny Armor Pokémon,95,1059860,0.7,61,Quilladin,88.1,grass,56,58,57,29,6,0
|
||||
1,0.5,1,0.5,2,1,2,4,1,0.5,0.5,2,1,2,2,0.5,1,0.5,107,5120,70,530,45,Spiny Armor Pokémon,122,1059860,1.6,88,Chesnaught,88.1,grass,74,75,64,90,6,0
|
||||
0.5,1,1,1,0.5,1,0.5,1,1,0.5,2,0.5,1,1,1,2,0.5,2,45,5120,70,307,45,Fox Pokémon,40,1059860,0.4,40,Fennekin,88.1,fire,62,60,60,9.4,6,0
|
||||
0.5,1,1,1,0.5,1,0.5,1,1,0.5,2,0.5,1,1,1,2,0.5,2,59,5120,70,409,45,Fox Pokémon,58,1059860,1,59,Braixen,88.1,fire,90,70,73,14.5,6,0
|
||||
1,2,1,1,0.5,0.5,0.5,1,2,0.5,2,0.5,1,1,0.5,2,0.5,2,69,5120,70,534,45,Fox Pokémon,72,1059860,1.5,75,Delphox,88.1,fire,114,100,104,39,6,0
|
||||
1,1,1,2,1,1,0.5,1,1,2,1,0.5,1,1,1,1,0.5,0.5,56,5120,70,314,45,Bubble Frog Pokémon,40,1059860,0.3,41,Froakie,88.1,water,62,44,71,7,6,0
|
||||
1,1,1,2,1,1,0.5,1,1,2,1,0.5,1,1,1,1,0.5,0.5,63,5120,70,405,45,Bubble Frog Pokémon,52,1059860,0.6,54,Frogadier,88.1,water,83,56,97,10.9,6,0
|
||||
2,0.5,1,2,2,2,0.5,1,0.5,2,1,0.5,1,1,0,1,0.5,0.5,145,5120,70,640,45,Ninja Pokémon,67,1059860,1.5,72,Greninja,88.1,water,153,71,132,40,6,0
|
||||
1,1,1,1,1,2,1,1,0,1,1,1,1,1,1,1,1,1,36,3840,70,237,255,Digging Pokémon,38,1000000,0.4,38,Bunnelby,50,normal,32,36,57,5,6,0
|
||||
1,1,1,0,1,2,1,1,0,2,1,2,1,0.5,1,0.5,1,2,56,3840,70,423,127,Digging Pokémon,77,1000000,1,85,Diggersby,50,normal,50,77,78,42.4,6,0
|
||||
0.5,1,1,2,1,1,1,1,0,0.5,0,2,1,1,1,2,1,1,50,3840,70,278,255,Tiny Robin Pokémon,43,1059860,0.3,45,Fletchling,50,normal,40,38,62,1.7,6,0
|
||||
0.25,1,1,2,0.5,0.5,0.5,1,1,0.25,0,1,1,1,1,4,0.5,2,73,3840,70,382,120,Ember Pokémon,55,1059860,0.7,62,Fletchinder,50,fire,56,52,84,16,6,0
|
||||
0.25,1,1,2,0.5,0.5,0.5,1,1,0.25,0,1,1,1,1,4,0.5,2,81,3840,70,499,45,Scorching Pokémon,71,1059860,1.2,78,Talonflame,50,fire,74,69,126,24.5,6,0
|
||||
1,1,1,1,1,0.5,2,2,1,0.5,0.5,1,1,1,1,2,1,1,35,3840,70,200,255,Scatterdust Pokémon,40,1000000,0.3,38,Scatterbug,50,bug,27,25,35,2.5,6,0
|
||||
1,1,1,1,1,0.5,2,2,1,0.5,0.5,1,1,1,1,2,1,1,22,3840,70,213,120,Scatterdust Pokémon,60,1000000,0.3,45,Spewpa,50,bug,27,30,29,8.4,6,0
|
||||
0.5,1,1,2,1,0.25,2,2,1,0.25,0,2,1,1,1,4,1,1,52,3840,70,411,45,Scale Pokémon,50,1000000,1.2,80,Vivillon,50,bug,90,50,89,17,6,0
|
||||
0.5,1,1,1,0.5,2,0.5,1,0,0.5,2,0.5,1,1,1,2,0.5,2,50,5120,70,369,220,Lion Cub Pokémon,58,1059860,0.6,62,Litleo,11.2,fire,73,54,72,13.5,6,0
|
||||
0.5,1,1,1,0.5,2,0.5,1,0,0.5,2,0.5,1,1,1,2,0.5,2,68,5120,70,507,65,Royal Pokémon,72,1059860,1.5,86,Pyroar,11.2,fire,109,66,106,81.5,6,0
|
||||
0.5,0.5,0,1,1,0.5,1,1,1,1,1,1,1,2,1,1,2,1,38,5120,70,303,225,Single Bloom Pokémon,39,1000000,0.1,44,Flabébé,0,fairy,61,79,42,0.1,6,0
|
||||
0.5,0.5,0,1,1,0.5,1,1,1,1,1,1,1,2,1,1,2,1,65,5120,70,551,120,Fairy Pokémon,67,1000000,0.2,74,Floette,0,fairy,125,128,92,0.9,6,0
|
||||
0.5,0.5,0,1,1,0.5,1,1,1,1,1,1,1,2,1,1,2,1,65,5120,70,552,45,Garden Pokémon,68,1000000,1.1,78,Florges,0,fairy,112,154,75,10,6,0
|
||||
2,1,1,0.5,1,1,2,2,1,0.5,0.5,2,1,2,1,1,1,0.5,65,5120,70,350,200,Mount Pokémon,48,1000000,0.9,66,Skiddo,50,grass,62,57,52,31,6,0
|
||||
2,1,1,0.5,1,1,2,2,1,0.5,0.5,2,1,2,1,1,1,0.5,100,5120,70,531,45,Mount Pokémon,62,1000000,1.7,123,Gogoat,50,grass,97,81,68,91,6,0
|
||||
0.5,0.5,1,1,2,1,1,2,1,1,1,1,1,1,2,0.5,1,1,82,6400,70,348,220,Playful Pokémon,62,1000000,0.6,67,Pancham,50,fighting,46,48,43,8,6,0
|
||||
1,0.25,1,1,4,2,1,2,0.5,1,1,1,1,1,0,0.5,1,1,124,6400,70,495,65,Daunting Pokémon,78,1000000,2.1,95,Pangoro,50,fighting,69,71,58,136,6,0
|
||||
1,1,1,1,1,2,1,1,0,1,1,1,1,1,1,1,1,1,80,5120,70,472,160,Poodle Pokémon,60,1000000,1.2,75,Furfrou,50,normal,65,90,102,28,6,0
|
||||
2,2,1,1,1,0.5,1,1,2,1,1,1,1,1,0.5,1,1,1,48,5120,70,355,190,Restraint Pokémon,54,1000000,0.3,62,Espurr,50,psychic,63,60,68,3.5,6,0
|
||||
2,2,1,1,1,0.5,1,1,2,1,1,1,1,1,0.5,1,1,1,48,5120,70,466,75,Constraint Pokémon,76,1000000,0.6,74,Meowstic,50,psychic,83,81,104,8.5,6,0
|
||||
0.25,2,0.5,1,0.5,0,2,0.5,2,0.5,2,0.5,0,0,0.5,0.5,0.5,1,80,5120,70,325,180,Sword Pokémon,100,1000000,0.8,45,Honedge,50,steel,35,37,28,2,6,0
|
||||
0.25,2,0.5,1,0.5,0,2,0.5,2,0.5,2,0.5,0,0,0.5,0.5,0.5,1,110,5120,70,448,90,Sword Pokémon,150,1000000,0.8,59,Doublade,50,steel,45,49,35,4.5,6,0
|
||||
0.25,2,0.5,1,0.5,0,2,0.5,2,0.5,2,0.5,0,0,0.5,0.5,0.5,1,150,5120,70,520,45,Royal Sword Pokémon,50,1000000,1.7,60,Aegislash,50,steel,150,50,60,53,6,0
|
||||
0.5,0.5,0,1,1,0.5,1,1,1,1,1,1,1,2,1,1,2,1,52,5120,70,341,200,Perfume Pokémon,60,1000000,0.2,78,Spritzee,50,fairy,63,65,23,0.5,6,0
|
||||
0.5,0.5,0,1,1,0.5,1,1,1,1,1,1,1,2,1,1,2,1,72,5120,70,462,140,Fragrance Pokémon,72,1000000,0.8,101,Aromatisse,50,fairy,99,89,29,15.5,6,0
|
||||
0.5,0.5,0,1,1,0.5,1,1,1,1,1,1,1,2,1,1,2,1,48,5120,70,341,200,Cotton Candy Pokémon,66,1000000,0.4,62,Swirlix,50,fairy,59,57,49,3.5,6,0
|
||||
0.5,0.5,0,1,1,0.5,1,1,1,1,1,1,1,2,1,1,2,1,80,5120,70,480,140,Meringue Pokémon,86,1000000,0.8,82,Slurpuff,50,fairy,85,75,72,5,6,0
|
||||
4,1,1,1,2,1,1,1,1,1,1,1,1,1,0,1,1,1,54,5120,70,288,190,Revolving Pokémon,53,1000000,0.4,53,Inkay,50,dark,37,46,45,3.5,6,0
|
||||
4,1,1,1,2,1,1,1,1,1,1,1,1,1,0,1,1,1,92,5120,70,482,80,Overturning Pokémon,88,1000000,1.5,86,Malamar,50,dark,68,75,73,47,6,0
|
||||
1,1,1,2,1,2,0.25,0.5,1,4,2,0.5,0.5,0.5,1,1,1,1,52,5120,70,306,120,Two-Handed Pokémon,67,1000000,0.5,42,Binacle,50,rock,39,56,50,31,6,0
|
||||
1,1,1,2,1,2,0.25,0.5,1,4,2,0.5,0.5,0.5,1,1,1,1,105,5120,70,500,45,Collective Pokémon,115,1000000,1.3,72,Barbaracle,50,rock,54,86,68,96,6,0
|
||||
0.5,1,1,2,0.5,0.5,0.5,1,1,1,2,0.5,1,0.5,2,1,0.5,0.5,60,5120,70,320,225,Mock Kelp Pokémon,60,1000000,0.5,50,Skrelp,50,poison,60,60,30,7.3,6,0
|
||||
0.5,1,2,0.5,1,0.5,0.5,1,1,0.25,2,2,1,0.5,2,1,1,0.5,75,5120,70,494,55,Mock Kelp Pokémon,90,1000000,1.8,65,Dragalge,50,poison,97,123,44,81.5,6,0
|
||||
1,1,1,2,1,1,0.5,1,1,2,1,0.5,1,1,1,1,0.5,0.5,53,3840,70,330,225,Water Gun Pokémon,62,1250000,0.5,50,Clauncher,50,water,58,63,44,8.3,6,0
|
||||
1,1,1,2,1,1,0.5,1,1,2,1,0.5,1,1,1,1,0.5,0.5,73,3840,70,500,55,Howitzer Pokémon,88,1250000,1.3,71,Clawitzer,50,water,120,89,59,35.3,6,0
|
||||
1,1,1,0.5,1,2,1,0.5,0,1,2,1,1,1,1,1,0.5,1,38,5120,70,289,190,Generator Pokémon,33,1000000,0.5,44,Helioptile,50,electric,61,43,70,6,6,0
|
||||
1,1,1,0.5,1,2,1,0.5,0,1,2,1,1,1,1,1,0.5,1,55,5120,70,481,75,Generator Pokémon,52,1000000,1,62,Heliolisk,50,electric,109,94,109,21,6,0
|
||||
1,1,2,0.5,2,2,0.25,0.5,1,1,2,2,0.5,0.5,1,1,2,1,89,7680,70,362,45,Royal Heir Pokémon,77,1000000,0.8,58,Tyrunt,88.1,rock,45,45,48,26,6,0
|
||||
1,1,2,0.5,2,2,0.25,0.5,1,1,2,2,0.5,0.5,1,1,2,1,121,7680,70,521,45,Despot Pokémon,119,1000000,2.5,82,Tyrantrum,88.1,rock,69,59,71,270,6,0
|
||||
1,1,1,1,1,4,1,0.5,1,2,2,0.5,0.5,0.5,1,2,4,2,59,7680,70,362,45,Tundra Pokémon,50,1000000,1.3,77,Amaura,88.1,rock,67,63,46,25.2,6,0
|
||||
1,1,1,1,1,4,1,0.5,1,2,2,0.5,0.5,0.5,1,2,4,2,77,7680,70,521,45,Tundra Pokémon,72,1000000,2.7,123,Aurorus,88.1,rock,99,92,58,225,6,0
|
||||
0.5,0.5,0,1,1,0.5,1,1,1,1,1,1,1,2,1,1,2,1,65,8960,70,525,45,Intertwining Pokémon,65,1000000,1,95,Sylveon,88.1,fairy,110,130,60,23.5,6,0
|
||||
0.25,0.5,1,2,2,0.5,1,2,1,0.5,0,2,1,1,2,1,1,1,92,5120,70,500,100,Wrestling Pokémon,75,1000000,0.8,78,Hawlucha,50,fighting,74,63,118,21.5,6,0
|
||||
0.5,0.5,0,0.5,1,0.5,1,0.5,1,1,2,1,1,2,1,1,1,1,58,5120,70,431,180,Antenna Pokémon,57,1000000,0.2,67,Dedenne,50,electric,81,67,101,2.2,6,0
|
||||
0.5,0.5,0,1,1,1,0.5,0.5,1,2,2,1,0.5,1,1,1,4,2,50,6400,70,500,60,Jewel Pokémon,150,1250000,0.3,50,Carbink,,rock,50,150,50,5.7,6,0
|
||||
1,1,2,0.5,2,1,0.5,1,1,0.5,1,2,1,1,1,1,1,0.5,50,10240,35,300,45,Soft Tissue Pokémon,35,1250000,0.3,45,Goomy,50,dragon,55,75,40,2.8,6,0
|
||||
1,1,2,0.5,2,1,0.5,1,1,0.5,1,2,1,1,1,1,1,0.5,75,10240,35,452,45,Soft Tissue Pokémon,53,1250000,0.8,68,Sliggoo,50,dragon,83,113,60,17.5,6,0
|
||||
1,1,2,0.5,2,1,0.5,1,1,0.5,1,2,1,1,1,1,1,0.5,100,10240,35,600,45,Dragon Pokémon,70,1250000,2,90,Goodra,50,dragon,110,150,80,150.5,6,0
|
||||
0.25,0.5,0,1,0.5,1,2,0.5,1,0.5,2,0.5,0.5,0,0.5,0.5,1,1,80,5120,70,470,75,Key Ring Pokémon,91,800000,0.2,57,Klefki,50,steel,80,87,75,3,6,0
|
||||
1,2,1,0.5,1,0,2,2,2,0.5,0.5,2,0,1,1,1,1,0.5,70,5120,70,309,120,Stump Pokémon,48,1000000,0.4,43,Phantump,50,ghost,50,60,38,7,6,0
|
||||
1,2,1,0.5,1,0,2,2,2,0.5,0.5,2,0,1,1,1,1,0.5,110,5120,70,474,60,Elder Tree Pokémon,76,1000000,1.5,85,Trevenant,50,ghost,65,82,56,71,6,0
|
||||
1,2,1,0.5,1,0,2,2,2,0.5,0.5,2,0,1,1,1,1,0.5,66,5120,70,335,120,Pumpkin Pokémon,70,1000000,0.8,59,Pumpkaboo,50,ghost,44,55,41,15,6,0
|
||||
1,2,1,0.5,1,0,2,2,2,0.5,0.5,2,0,1,1,1,1,0.5,100,5120,70,494,60,Pumpkin Pokémon,122,1000000,1.7,85,Gourgeist,50,ghost,58,75,54,39,6,0
|
||||
1,1,1,1,1,2,2,1,1,1,1,0.5,1,1,1,2,2,1,69,5120,70,304,190,Ice Chunk Pokémon,85,1000000,1,55,Bergmite,50,ice,32,35,28,99.5,6,0
|
||||
1,1,1,1,1,2,2,1,1,1,1,0.5,1,1,1,2,2,1,117,5120,70,514,55,Iceberg Pokémon,184,1000000,2,95,Avalugg,50,ice,44,46,28,505,6,0
|
||||
0.5,1,2,1,2,0.5,0.5,1,1,0.25,0,4,1,1,1,2,1,0.5,30,5120,70,245,190,Sound Wave Pokémon,35,1000000,0.5,40,Noibat,50,dragon,45,40,55,8,6,0
|
||||
0.5,1,2,1,2,0.5,0.5,1,1,0.25,0,4,1,1,1,2,1,0.5,70,5120,70,535,45,Sound Wave Pokémon,80,1000000,1.5,85,Noivern,50,dragon,97,80,123,85,6,0
|
||||
0.5,0.5,0,1,1,0.5,1,1,1,1,1,1,1,2,1,1,2,1,131,30720,0,680,45,Life Pokémon,95,1250000,3,126,Xerneas,,fairy,131,98,99,215,6,1
|
||||
1,0.5,1,2,2,1,1,1,0.5,0.5,0,2,1,1,0,2,1,1,131,30720,0,680,45,Destruction Pokémon,95,1250000,5.8,126,Yveltal,,dark,131,98,99,203,6,1
|
||||
1,1,2,0,2,1,0.5,1,1,1,1,4,1,0.5,1,0.5,1,1,100,30720,0,708,3,Order Pokémon,121,1250000,5,216,Zygarde,,dragon,91,95,85,284.6,6,1
|
||||
0.5,0.5,0,1,1,1,0.5,0.5,1,2,2,1,0.5,1,1,1,4,2,160,6400,70,700,3,Jewel Pokémon,110,1250000,0.7,50,Diancie,,rock,160,110,110,8.8,6,1
|
||||
1,4,1,1,1,0,1,1,4,1,1,1,0,0.5,0.5,1,1,1,160,30720,100,680,3,Mischief Pokémon (Confined)Djinn Pokémonn (Unbound),60,1250000,,80,Hoopa,,psychic,170,130,80,,6,1
|
||||
0.5,1,1,2,0.5,1,0.25,1,1,1,2,0.25,1,1,1,2,0.25,1,110,30720,100,600,3,Steam Pokémon,120,1250000,1.7,80,Volcanion,,fire,130,90,70,195,6,1
|
||||
1,1,1,1,1,0.5,2,2,1,0.25,0,4,1,2,1,2,1,0.5,55,3840,70,320,45,Grass Quill Pokémon,55,1059860,0.3,68,Rowlet,88.1,grass,50,50,42,1.5,7,0
|
||||
1,1,1,1,1,0.5,2,2,1,0.25,0,4,1,2,1,2,1,0.5,75,3840,70,420,45,Blade Quill Pokémon,75,1059860,0.7,78,Dartrix,88.1,grass,70,70,52,16,7,0
|
||||
1,2,1,0.5,1,0,2,2,2,0.5,0.5,2,0,1,1,1,1,0.5,107,3840,70,530,45,Arrow Quill Pokémon,75,1059860,1.6,78,Decidueye,88.1,grass,100,100,70,36.6,7,0
|
||||
0.5,1,1,1,0.5,1,0.5,1,1,0.5,2,0.5,1,1,1,2,0.5,2,65,3840,70,320,45,Fire Cat Pokémon,40,1059860,0.4,45,Litten,88.1,fire,60,40,70,4.3,7,0
|
||||
0.5,1,1,1,0.5,1,0.5,1,1,0.5,2,0.5,1,1,1,2,0.5,2,85,3840,70,420,45,Fire Cat Pokémon,50,1059860,0.7,65,Torracat,88.1,fire,80,50,90,25,7,0
|
||||
1,0.5,1,1,1,2,0.5,1,0.5,0.5,2,0.5,1,1,0,2,0.5,2,115,3840,70,530,45,Heel Pokémon,90,1059860,1.8,95,Incineroar,88.1,fire,80,90,60,83,7,0
|
||||
1,1,1,2,1,1,0.5,1,1,2,1,0.5,1,1,1,1,0.5,0.5,54,3840,70,320,45,Sea Lion Pokémon,54,1059860,0.4,50,Popplio,88.1,water,66,56,40,7.5,7,0
|
||||
1,1,1,2,1,1,0.5,1,1,2,1,0.5,1,1,1,1,0.5,0.5,69,3840,70,420,45,Pop Star Pokémon,69,1059860,0.6,60,Brionne,88.1,water,91,81,50,17.5,7,0
|
||||
0.5,0.5,0,2,1,0.5,0.5,1,1,2,1,0.5,1,2,1,1,1,0.5,74,3840,70,530,45,Soloist Pokémon,74,1059860,1.8,80,Primarina,88.1,water,126,116,60,44,7,0
|
||||
0.5,1,1,2,1,1,1,1,0,0.5,0,2,1,1,1,2,1,1,75,3840,70,265,255,Woodpecker Pokémon,30,1000000,0.3,35,Pikipek,50,normal,30,30,65,1.2,7,0
|
||||
0.5,1,1,2,1,1,1,1,0,0.5,0,2,1,1,1,2,1,1,85,3840,70,355,120,Bugle Beak Pokémon,50,1000000,0.6,55,Trumbeak,50,normal,40,50,75,14.8,7,0
|
||||
0.5,1,1,2,1,1,1,1,0,0.5,0,2,1,1,1,2,1,1,120,3840,70,485,45,Cannon Pokémon,75,1000000,1.1,80,Toucannon,50,normal,75,75,60,26,7,0
|
||||
1,1,1,1,1,2,1,1,0,1,1,1,1,1,1,1,1,1,70,3840,70,253,255,Loitering Pokémon,30,1000000,0.4,48,Yungoos,50,normal,30,30,45,6,7,0
|
||||
1,1,1,1,1,2,1,1,0,1,1,1,1,1,1,1,1,1,110,3840,70,418,127,Stakeout Pokémon,60,1000000,0.7,88,Gumshoos,50,normal,55,60,45,14.2,7,0
|
||||
1,1,1,1,1,0.5,2,2,1,0.5,0.5,1,1,1,1,2,1,1,62,3840,70,300,255,Larva Pokémon,45,1000000,0.4,47,Grubbin,50,bug,55,45,46,4.4,7,0
|
||||
1,1,1,0.5,1,0.5,2,1,1,0.5,1,1,1,1,1,2,0.5,1,82,3840,70,400,120,Battery Pokémon,95,1000000,0.5,57,Charjabug,50,bug,55,75,36,10.5,7,0
|
||||
1,1,1,0.5,1,0.5,2,1,1,0.5,1,1,1,1,1,2,0.5,1,70,3840,70,500,45,Stag Beetle Pokémon,90,1000000,1.5,77,Vikavolt,50,bug,145,75,43,45,7,0
|
||||
0.5,0.5,1,1,2,1,1,2,1,1,1,1,1,1,2,0.5,1,1,82,5120,70,338,225,Boxing Pokémon,57,1000000,0.6,47,Crabrawler,50,fighting,42,47,63,7,7,0
|
||||
0.5,0.5,1,1,2,2,2,2,1,1,1,0.5,1,1,2,1,2,1,132,5120,70,478,60,Woolly Crab Pokémon,77,1000000,1.7,97,Crabominable,50,fighting,62,67,43,180,7,0
|
||||
0.25,1,1,2,0.5,0.5,0.5,1,1,0.25,0,1,1,1,1,4,0.5,2,70,5120,70,476,45,Dancing Pokémon,70,1000000,0.6,75,Oricorio,24.6,fire,98,70,93,3.4,7,0
|
||||
0.5,0.5,0,1,1,0.25,2,2,1,0.5,0.5,1,1,2,1,2,2,1,45,5120,70,304,190,Bee Fly Pokémon,40,1000000,0.1,40,Cutiefly,50,bug,55,40,84,0.2,7,0
|
||||
0.5,0.5,0,1,1,0.25,2,2,1,0.5,0.5,1,1,2,1,2,2,1,55,5120,70,464,75,Bee Fly Pokémon,60,1000000,0.2,60,Ribombee,50,bug,95,70,124,0.5,7,0
|
||||
1,1,1,1,1,2,0.5,0.5,1,2,2,1,0.5,0.5,1,1,2,2,65,3840,70,280,190,Puppy Pokémon,40,1000000,0.5,45,Rockruff,50,rock,30,40,60,9.2,7,0
|
||||
1,1,1,1,1,2,0.5,0.5,1,2,2,1,0.5,0.5,1,1,2,2,115,3840,70,487,90,Wolf Pokémon,75,1000000,,85,Lycanroc,50,rock,55,75,82,,7,0
|
||||
1,1,1,2,1,1,0.5,1,1,2,1,0.5,1,1,1,1,0.5,0.5,140,3840,70,620,60,Small Fry Pokémon,130,800000,0.2,45,Wishiwashi,50,water,140,135,30,0.3,7,0
|
||||
0.5,1,1,2,0.5,0.5,0.5,1,1,1,2,0.5,1,0.5,2,1,0.5,0.5,53,5120,70,305,190,Brutal Star Pokémon,62,1000000,0.4,50,Mareanie,50,poison,43,52,45,8,7,0
|
||||
0.5,1,1,2,0.5,0.5,0.5,1,1,1,2,0.5,1,0.5,2,1,0.5,0.5,63,5120,70,495,75,Brutal Star Pokémon,152,1000000,0.7,50,Toxapex,50,poison,53,142,35,14.5,7,0
|
||||
1,1,1,0,1,1,1,1,1,2,1,2,1,0.5,1,0.5,1,2,100,5120,70,385,190,Donkey Pokémon,70,1000000,1,70,Mudbray,50,ground,45,55,45,110,7,0
|
||||
1,1,1,0,1,1,1,1,1,2,1,2,1,0.5,1,0.5,1,2,125,5120,70,500,60,Draft Horse Pokémon,100,1000000,2.5,100,Mudsdale,50,ground,55,85,35,920,7,0
|
||||
1,1,1,2,1,0.5,1,2,1,1,0.5,0.5,1,1,1,2,0.5,0.5,40,3840,70,269,200,Water Bubble Pokémon,52,1000000,0.3,38,Dewpider,50,water,40,72,27,4,7,0
|
||||
1,1,1,2,1,0.5,1,2,1,1,0.5,0.5,1,1,1,2,0.5,0.5,70,3840,70,454,100,Water Bubble Pokémon,92,1000000,1.8,68,Araquanid,50,water,50,132,42,82,7,0
|
||||
2,1,1,0.5,1,1,2,2,1,0.5,0.5,2,1,2,1,1,1,0.5,55,5120,70,250,190,Sickle Grass Pokémon,35,1000000,0.3,40,Fomantis,50,grass,50,35,35,1.5,7,0
|
||||
2,1,1,0.5,1,1,2,2,1,0.5,0.5,2,1,2,1,1,1,0.5,105,5120,70,480,75,Bloom Sickle Pokémon,90,1000000,0.9,70,Lurantis,50,grass,80,90,45,18.5,7,0
|
||||
1,0.5,0,0.5,1,0.5,2,2,1,0.5,0.5,2,1,4,1,1,2,0.5,35,5120,70,285,190,Illuminating Pokémon,55,1000000,0.2,40,Morelull,50,grass,65,75,15,1.5,7,0
|
||||
1,0.5,0,0.5,1,0.5,2,2,1,0.5,0.5,2,1,4,1,1,2,0.5,45,5120,70,405,75,Illuminating Pokémon,80,1000000,1,60,Shiinotic,50,grass,90,100,30,11.5,7,0
|
||||
0.25,1,1,1,0.25,0.5,0.5,1,1,0.25,4,0.5,1,0.5,2,2,0.5,2,44,5120,70,320,120,Toxic Lizard Pokémon,40,1000000,0.6,48,Salandit,88.1,poison,71,40,77,4.8,7,0
|
||||
0.25,1,1,1,0.25,0.5,0.5,1,1,0.25,4,0.5,1,0.5,2,2,0.5,2,64,5120,70,480,45,Toxic Lizard Pokémon,60,1000000,1.2,68,Salazzle,0,poison,111,60,117,22.2,7,0
|
||||
0.5,0.5,1,1,2,2,1,2,0,1,1,1,1,1,2,0.5,1,1,75,3840,70,340,140,Flailing Pokémon,50,1000000,0.5,70,Stufful,50,normal,45,50,50,6.8,7,0
|
||||
0.5,0.5,1,1,2,2,1,2,0,1,1,1,1,1,2,0.5,1,1,125,3840,70,500,70,Strong Arm Pokémon,80,1000000,2.1,120,Bewear,50,normal,55,60,60,135,7,0
|
||||
2,1,1,0.5,1,1,2,2,1,0.5,0.5,2,1,2,1,1,1,0.5,30,5120,70,210,235,Fruit Pokémon,38,1059860,0.3,42,Bounsweet,0,grass,30,38,32,3.2,7,0
|
||||
2,1,1,0.5,1,1,2,2,1,0.5,0.5,2,1,2,1,1,1,0.5,40,5120,70,290,120,Fruit Pokémon,48,1059860,0.7,52,Steenee,0,grass,40,48,62,8.2,7,0
|
||||
2,1,1,0.5,1,1,2,2,1,0.5,0.5,2,1,2,1,1,1,0.5,120,5120,70,510,45,Fruit Pokémon,98,1059860,1.2,72,Tsareena,0,grass,50,98,72,21.4,7,0
|
||||
0.5,0.5,0,1,1,0.5,1,1,1,1,1,1,1,2,1,1,2,1,52,5120,70,485,60,Posy Picker Pokémon,90,800000,0.1,51,Comfey,24.6,fairy,82,110,100,0.3,7,0
|
||||
2,2,1,1,1,1,1,1,0,1,1,1,1,1,0.5,1,1,1,60,5120,70,490,45,Sage Pokémon,80,1250000,1.5,90,Oranguru,50,normal,90,110,60,76,7,0
|
||||
0.5,0.5,1,1,2,1,1,2,1,1,1,1,1,1,2,0.5,1,1,120,5120,70,490,45,Teamwork Pokémon,90,1250000,2,100,Passimian,50,fighting,40,60,80,82.8,7,0
|
||||
1,1,1,2,1,0.5,1,2,1,1,0.5,0.5,1,1,1,2,0.5,0.5,35,5120,70,230,90,Turn Tail Pokémon,40,1000000,0.5,25,Wimpod,50,bug,20,30,80,12,7,0
|
||||
1,1,1,2,1,0.5,1,2,1,1,0.5,0.5,1,1,1,2,0.5,0.5,125,5120,70,530,45,Hard Scale Pokémon,140,1000000,2,75,Golisopod,50,bug,60,90,40,108,7,0
|
||||
0.5,2,1,0,1,0,1,1,2,2,1,2,0,0.25,1,0.5,1,2,55,3840,70,320,140,Sand Heap Pokémon,80,1000000,0.5,55,Sandygast,50,ghost,70,45,15,70,7,0
|
||||
0.5,2,1,0,1,0,1,1,2,2,1,2,0,0.25,1,0.5,1,2,75,3840,70,480,60,Sand Castle Pokémon,110,1000000,1.3,85,Palossand,50,ghost,100,75,35,250,7,0
|
||||
1,1,1,2,1,1,0.5,1,1,2,1,0.5,1,1,1,1,0.5,0.5,60,3840,70,410,60,Sea Cucumber Pokémon,130,800000,0.3,55,Pyukumuku,50,water,30,130,5,1.2,7,0
|
||||
1,1,1,1,1,2,1,1,0,1,1,1,1,1,1,1,1,1,95,30720,0,534,3,Synthetic Pokémon,95,1250000,1.9,95,Type: Null,,normal,95,95,59,120.5,7,0
|
||||
1,1,1,1,1,2,1,1,0,1,1,1,1,1,1,1,1,1,95,30720,0,570,3,Synthetic Pokémon,95,1250000,2.3,95,Silvally,,normal,95,95,95,100.5,7,0
|
||||
0.5,1,1,2,1,1,0.5,0.5,1,1,0,2,0.5,0.5,1,2,2,2,100,6400,70,500,255,Meteor Pokémon,60,1059860,0.3,60,Minior,,rock,100,60,120,40,7,0
|
||||
1,1,1,1,1,2,1,1,0,1,1,1,1,1,1,1,1,1,115,5120,70,480,45,Drowsing Pokémon,65,1250000,0.4,65,Komala,50,normal,75,95,65,19.9,7,0
|
||||
0.5,1,2,0.5,1,1,0.25,1,1,0.25,2,1,1,1,1,2,0.5,1,78,5120,70,485,70,Blast Turtle Pokémon,135,1000000,2,60,Turtonator,50,fire,91,85,36,212,7,0
|
||||
0.5,1,0.5,0.5,0.5,2,2,0.25,1,0.5,4,0.5,0.5,0,0.5,0.5,0.25,1,98,2560,70,435,180,Roly-Poly Pokémon,63,1000000,0.3,65,Togedemaru,50,electric,40,73,96,3.3,7,0
|
||||
0.25,1,0,1,1,0,1,1,2,1,1,1,0,1,1,1,2,1,90,5120,70,476,45,Disguise Pokémon,80,1000000,0.2,55,Mimikyu,50,ghost,50,105,96,0.7,7,0
|
||||
2,2,1,2,1,0.5,0.5,1,2,2,1,0.5,1,1,0.5,1,0.5,0.5,105,3840,70,475,80,Gnash Teeth Pokémon,70,1000000,0.9,68,Bruxish,50,water,70,70,92,19,7,0
|
||||
1,1,2,0.5,2,2,0.5,1,0,0.5,1,2,1,1,1,1,1,0.5,60,5120,70,485,70,Placid Pokémon,85,1000000,3,78,Drampa,50,normal,135,91,36,185,7,0
|
||||
1,2,1,0.5,1,0,2,2,2,0.5,0.5,2,0,1,1,1,1,0.5,131,6400,70,517,25,Sea Creeper Pokémon,100,1000000,3.9,70,Dhelmise,,ghost,86,90,40,210,7,0
|
||||
1,1,2,0.5,2,1,0.5,1,1,0.5,1,2,1,1,1,1,1,0.5,55,10240,70,300,45,Scaly Pokémon,65,1250000,0.6,45,Jangmo-o,50,dragon,45,45,45,29.7,7,0
|
||||
0.5,0.5,2,0.5,4,1,0.5,2,1,0.5,1,2,1,1,2,0.5,1,0.5,75,10240,70,420,45,Scaly Pokémon,90,1250000,1.2,55,Hakamo-o,50,dragon,65,70,65,47,7,0
|
||||
0.5,0.5,2,0.5,4,1,0.5,2,1,0.5,1,2,1,1,2,0.5,1,0.5,110,10240,70,600,45,Scaly Pokémon,125,1250000,1.6,75,Kommo-o,50,dragon,100,105,85,78.2,7,0
|
||||
0.5,0.5,0,0.5,1,0.5,1,0.5,1,1,2,1,1,2,1,1,1,1,115,3840,70,570,3,Land Spirit Pokémon,85,1250000,1.8,70,Tapu Koko,,electric,95,75,130,20.5,7,1
|
||||
1,1,0,1,1,0.25,1,1,2,1,1,1,1,2,0.5,1,2,1,85,3840,70,570,3,Land Spirit Pokémon,75,1250000,1.2,70,Tapu Lele,,psychic,130,115,95,18.6,7,1
|
||||
1,0.5,0,0.5,1,0.5,2,2,1,0.5,0.5,2,1,4,1,1,2,0.5,130,3840,70,570,3,Land Spirit Pokémon,115,1250000,1.9,70,Tapu Bulu,,grass,85,95,75,45.5,7,1
|
||||
0.5,0.5,0,2,1,0.5,0.5,1,1,2,1,0.5,1,2,1,1,1,0.5,75,3840,70,570,3,Land Spirit Pokémon,115,1250000,1.3,70,Tapu Fini,,water,95,130,85,21.2,7,1
|
||||
2,2,1,1,1,0.5,1,1,2,1,1,1,1,1,0.5,1,1,1,29,30720,0,200,45,Nebula Pokémon,31,1250000,0.2,43,Cosmog,,psychic,29,31,37,0.1,7,1
|
||||
2,2,1,1,1,0.5,1,1,2,1,1,1,1,1,0.5,1,1,1,29,30720,0,400,45,Protostar Pokémon,131,1250000,0.1,43,Cosmoem,,psychic,29,131,37,999.9,7,1
|
||||
1,2,0.5,1,0.5,1,2,0.5,2,0.5,2,0.5,0.5,0,0.25,0.5,0.5,1,137,30720,0,680,45,Sunne Pokémon,107,1250000,3.4,137,Solgaleo,,psychic,113,89,97,230,7,1
|
||||
1,4,1,1,1,0,1,1,4,1,1,1,0,0.5,0.5,1,1,1,113,30720,0,680,45,Moone Pokémon,89,1250000,4,137,Lunala,,psychic,137,107,97,120,7,1
|
||||
0.5,1,1,1,0.5,1,0.5,0.5,1,1,4,1,0.5,0.25,2,1,2,2,53,30720,0,570,45,Parasite Pokémon,47,1250000,1.2,109,Nihilego,,rock,127,131,103,55.5,7,1
|
||||
0.5,0.5,1,1,2,0.5,2,4,1,0.5,0.5,1,1,1,2,1,1,1,139,30720,0,570,25,Swollen Pokémon,139,1250000,2.4,107,Buzzwole,,bug,53,53,79,333.6,7,1
|
||||
0.5,0.5,1,1,2,0.5,2,4,1,0.5,0.5,1,1,1,2,1,1,1,137,30720,0,570,255,Lissome Pokémon,37,1250000,1.8,71,Pheromosa,,bug,137,37,151,25,7,1
|
||||
1,1,1,0.5,1,1,1,0.5,1,1,2,1,1,1,1,1,0.5,1,89,30720,0,570,30,Glowing Pokémon,71,1250000,3.8,83,Xurkitree,,electric,173,71,83,100,7,1
|
||||
0.25,1,0.5,2,0.5,1,2,0.5,1,0.25,0,1,0.5,0,0.5,1,0.5,1,101,30720,0,570,25,Launch Pokémon,103,1250000,9.2,97,Celesteela,,steel,107,101,61,999.9,7,1
|
||||
1,1,0.5,0.5,0.5,2,4,1,1,0.25,1,1,0.5,0,0.5,0.5,0.5,0.5,181,30720,0,570,255,Drawn Sword Pokémon,131,1250000,0.3,59,Kartana,,grass,59,31,109,0.1,7,1
|
||||
2,0.5,2,0.5,4,2,0.5,1,0.5,0.5,1,2,1,1,0,1,1,0.5,101,30720,0,570,15,Junkivore Pokémon,53,1250000,5.5,223,Guzzlord,,dark,97,53,43,888,7,1
|
||||
2,2,1,1,1,0.5,1,1,2,1,1,1,1,1,0.5,1,1,1,107,30720,0,600,3,Prism Pokémon,101,1250000,2.4,97,Necrozma,,psychic,127,89,79,230,7,1
|
||||
0.25,0.5,0,1,0.5,1,2,0.5,1,0.5,2,0.5,0.5,0,0.5,0.5,1,1,95,30720,0,600,3,Artificial Pokémon,115,1250000,1,80,Magearna,,steel,130,115,65,80.5,7,1
|
||||
|
Executable
+31
@@ -0,0 +1,31 @@
|
||||
X_train,y_train,X_test,y_test
|
||||
0.13601792836554882,-0.12955516982823656,0.0,0.0
|
||||
0.20723129731181178,0.8943304963164522,0.1724137931034483,0.2700000277065802
|
||||
0.2461351098327963,-0.7911763463735726,0.3448275862068966,0.5350566770584416
|
||||
0.2981745415497744,0.18021739095705697,0.5172413793103449,0.7903170770603108
|
||||
0.6359412086721705,3.7225846090089982,0.6896551724137931,1.0311077143540435
|
||||
0.9442089167432882,0.6930821869687206,0.8620689655172414,1.2530199996719733
|
||||
0.9617146682883082,-0.1961485205139828,1.0344827586206897,1.4519909838462617
|
||||
1.0895107249008273,1.9606372662037441,1.206896551724138,1.6243777455604222
|
||||
1.2042339837224703,2.0635102609258302,1.3793103448275863,1.7670240888920459
|
||||
2.196010680642431,1.4046614404630742,1.5517241379310347,1.877318329494301
|
||||
2.537901762138897,3.682659047817262,1.7241379310344829,1.9532411114201733
|
||||
2.7792627182286362,-0.6762765698852455,1.896551724137931,1.9934023791204456
|
||||
3.057217123278347,1.6964398356997354,2.0689655172413794,1.9970668277022476
|
||||
3.233837261910595,0.41712097502394174,2.241379310344828,1.964167365484312
|
||||
3.330346103554147,1.448250858358449,2.413793103448276,1.895306342365605
|
||||
3.38897786680612,0.7230454321152,2.586206896551724,1.7917445215173762
|
||||
3.406239910191065,1.1524011137358428,2.7586206896551726,1.6553779963137811
|
||||
3.5214344024063675,0.11902403532150885,2.931034482758621,1.4887034751245405
|
||||
3.6408002037640057,1.0270807544211786,3.1034482758620694,1.294772569563655
|
||||
3.7132666376424437,0.45792662320027044,3.2758620689655173,1.0771359231218087
|
||||
3.8373831152586932,-0.234610391006435,3.4482758620689657,0.8397782031205289
|
||||
3.847649596979065,1.313045911568098,3.620689655172414,0.5870451462078689
|
||||
3.854180449527251,0.1498189095339753,3.793103448275862,0.32356399310552936
|
||||
3.8797240502864794,0.3848493114333735,3.9655172413793105,0.05415876935226859
|
||||
3.9700716724616045,0.7900740994227569,4.137931034482759,-0.21623803684788337
|
||||
4.004143062258376,-0.8225932964222787,4.310344827586207,-0.48267578259941146
|
||||
4.1966527490839685,-1.2418829903348436,4.482758620689656,-0.7402763106798291
|
||||
4.741840295697909,-0.7217344479605965,4.655172413793104,-0.9843232627780154
|
||||
4.789112185945959,-2.3115613082352597,4.827586206896552,-1.2103484303875298
|
||||
4.905673335925669,-2.567288975123006,5.0,-1.414213562373095
|
||||
|
+585
@@ -0,0 +1,585 @@
|
||||
{
|
||||
"cells": [
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"# 📌 Machine Learning Assignment 1 - Instructions & Guidelines\n",
|
||||
"\n",
|
||||
"### **📝 General Guidelines**\n",
|
||||
"Welcome to Machine Learning Assignment 1! This assignment will test your understanding of **regression and classification models**, including **data preprocessing, hyperparameter tuning, and model evaluation**.\n",
|
||||
"\n",
|
||||
"Follow the instructions carefully, and ensure your implementation is **correct, well-structured, and efficient**.\n",
|
||||
"\n",
|
||||
"🔹 **Submission Format:** \n",
|
||||
"- Your submission **must be a single Jupyter Notebook (.ipynb)** file. \n",
|
||||
"- **File Naming Convention:** \n",
|
||||
" - Use **your university email as the filename**, e.g., \n",
|
||||
" ```\n",
|
||||
" j.doe@innopolis.university.ipynb\n",
|
||||
" ```\n",
|
||||
" - **Do NOT modify this format**, or your submission may not be graded.\n",
|
||||
"\n",
|
||||
"🔹 **Assignment Breakdown:**\n",
|
||||
"| Task | Description | Points |\n",
|
||||
"|------|------------|--------|\n",
|
||||
"| **Task 1.1** | Linear Regression | 20 |\n",
|
||||
"| **Task 1.2** | Polynomial Regression | 20 |\n",
|
||||
"| **Task 2.1** | Data Preprocessing | 15 |\n",
|
||||
"| **Task 2.2** | Model Comparison | 45 |\n",
|
||||
"| **Total** | - | **100** |\n",
|
||||
"\n",
|
||||
"---\n",
|
||||
"\n",
|
||||
"### **📂 Dataset & Assumptions**\n",
|
||||
"The dataset files are stored in the `datasets/` folder. \n",
|
||||
"- **Regression Dataset:** `datasets/task1_data.csv`\n",
|
||||
"- **Classification Dataset:** `datasets/pokemon_modified.csv`\n",
|
||||
"\n",
|
||||
"Each dataset is structured as follows:\n",
|
||||
"\n",
|
||||
"🔹 **`task1_data.csv` (for regression tasks)** \n",
|
||||
"- Contains `X_train`, `y_train`, `X_test`, and `y_test`. \n",
|
||||
"- The goal is to fit **linear and polynomial regression models** and evaluate their performance. \n",
|
||||
"\n",
|
||||
"🔹 **`pokemon_modified.csv` (for classification tasks)** \n",
|
||||
"- Contains Pokémon attributes, with `is_legendary` as the **binary target variable (0 or 1)**. \n",
|
||||
"- Some features contain **missing values** and **categorical variables**, requiring preprocessing.\n",
|
||||
"\n",
|
||||
"---\n",
|
||||
"\n",
|
||||
"### **🚀 How to Approach the Assignment**\n",
|
||||
"1. **Start with Regression (Task 1)**\n",
|
||||
" - Implement **linear regression** and **polynomial regression**.\n",
|
||||
" - Use **GridSearchCV** for polynomial regression to find the best degree.\n",
|
||||
" - Evaluate using **MSE, RMSE, MAE, and R² Score**.\n",
|
||||
"\n",
|
||||
"2. **Move to Data Preprocessing (Task 2.1)**\n",
|
||||
" - Load and clean the Pokémon dataset.\n",
|
||||
" - Handle **missing values** correctly.\n",
|
||||
" - Encode categorical variables properly.\n",
|
||||
" - Ensure **no data leakage** when doing the preprocessing.\n",
|
||||
"\n",
|
||||
"3. **Train and Evaluate Classification Models (Task 2.2)**\n",
|
||||
" - Train **Logistic Regression, KNN, and Naive Bayes**.\n",
|
||||
" - Use **GridSearchCV** for hyperparameter tuning.\n",
|
||||
" - Evaluate models using **Accuracy, Precision, Recall, and F1-score**.\n",
|
||||
"\n",
|
||||
"---\n",
|
||||
"\n",
|
||||
"### **📌 Grading & Evaluation**\n",
|
||||
"- Your notebook will be **autograded**, so ensure:\n",
|
||||
" - Your function names **exactly match** the given specifications.\n",
|
||||
" - Your output format matches the expected results.\n",
|
||||
"- Partial credit will be given where applicable.\n",
|
||||
"\n",
|
||||
"🔹 **Need Help?** \n",
|
||||
"- If you have any questions, refer to the **assignment markdown instructions** in each task before asking for clarifications.\n",
|
||||
"- You can post your question on this [Google sheet](https://docs.google.com/spreadsheets/d/1oyrqXDjT2CeGYx12aZhZ-oDKcQQ-PCgT91wHPhTlBCY/edit?usp=sharing)\n",
|
||||
"\n",
|
||||
"🚀 **Good luck! Happy coding!** 🎯"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"### FAQ\n",
|
||||
"\n",
|
||||
"**1) Should we include the lines to import the libraries?**\n",
|
||||
"\n",
|
||||
"- **Answer:** \n",
|
||||
" It doesn't matter if you include extra import lines, as the grader will only call the specified functions.\n",
|
||||
"\n",
|
||||
"**2) Is it okay to submit my file with code outside of the functions?**\n",
|
||||
"\n",
|
||||
"- **Answer:** \n",
|
||||
" Yes, you can include additional code outside of the functions as long as the entire script runs correctly when converted to a `.py` file.\n",
|
||||
"\n",
|
||||
"**Important Clarification:**\n",
|
||||
"\n",
|
||||
"- The grader will first convert the Jupyter Notebook (.ipynb) into a Python file (.py) and then run it.\n",
|
||||
"- **Note:** Please do not include any commands like `!pip install numpy` because they may break the conversion process and therefore the submission will not be graded."
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"## Task 1: Linear and Polynomial Regression (30 Points)\n",
|
||||
"\n",
|
||||
"### Task 1.1 - Linear Regression (15 Points)\n",
|
||||
"#### **Instructions**\n",
|
||||
"1. Load the dataset from **`datasets/task1_data.csv`**.\n",
|
||||
"2. Extract training and testing data from the following columns:\n",
|
||||
" - `\"X_train\"`: Training feature values.\n",
|
||||
" - `\"y_train\"`: Training target values.\n",
|
||||
" - `\"X_test\"`: Testing feature values.\n",
|
||||
" - `\"y_test\"`: Testing target values.\n",
|
||||
"3. Train a **linear regression model** on `X_train` and `y_train`.\n",
|
||||
"4. Use the trained model to predict `y_test` values.\n",
|
||||
"5. Compute and return the following **evaluation metrics** as a dictionary:\n",
|
||||
" - **Mean Squared Error (MSE)**\n",
|
||||
" - **Root Mean Squared Error (RMSE)**\n",
|
||||
" - **Mean Absolute Error (MAE)**\n",
|
||||
" - **R² Score**\n",
|
||||
"6. The function signature should match:\n",
|
||||
" ```python\n",
|
||||
" def task1_linear_regression() -> Dict[str, float]:"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"Please do not use any other libraries except for the ones imported below."
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 161,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"# Standard Library Imports\n",
|
||||
"import os\n",
|
||||
"import importlib.util\n",
|
||||
"import nbformat\n",
|
||||
"from tempfile import NamedTemporaryFile\n",
|
||||
"from typing import Tuple, Dict\n",
|
||||
"\n",
|
||||
"# Third-Party Library Imports\n",
|
||||
"import numpy as np\n",
|
||||
"import pandas as pd\n",
|
||||
"\n",
|
||||
"from nbconvert import PythonExporter\n",
|
||||
"\n",
|
||||
"# Scikit-Learn Imports\n",
|
||||
"from sklearn.preprocessing import MinMaxScaler, StandardScaler, PolynomialFeatures, OneHotEncoder\n",
|
||||
"from sklearn.impute import SimpleImputer\n",
|
||||
"from sklearn.metrics import (accuracy_score, precision_score, recall_score, f1_score,\n",
|
||||
" mean_squared_error, mean_absolute_error, r2_score)\n",
|
||||
"from sklearn.model_selection import train_test_split, GridSearchCV\n",
|
||||
"from sklearn.linear_model import LinearRegression, LogisticRegression\n",
|
||||
"from sklearn.pipeline import Pipeline\n",
|
||||
"from sklearn.neighbors import KNeighborsClassifier\n",
|
||||
"from sklearn.naive_bayes import GaussianNB"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 162,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"def task1_linear_regression() -> Dict[str, float]:\n",
|
||||
" \"\"\"\n",
|
||||
" Performs linear regression on a predefined dataset and returns performance metrics.\n",
|
||||
"\n",
|
||||
" **Dataset Assumption:**\n",
|
||||
" - The dataset is located at `\"datasets/task1_data.csv\"`.\n",
|
||||
" - It should contain the following columns:\n",
|
||||
" - `\"X_train\"`: Training feature values (numerical).\n",
|
||||
" - `\"y_train\"`: Training target values.\n",
|
||||
" - `\"X_test\"`: Testing feature values (numerical).\n",
|
||||
" - `\"y_test\"`: Testing target values.\n",
|
||||
"\n",
|
||||
" **Process:**\n",
|
||||
" 1. Load the dataset from `\"datasets/task1_data.csv\"`.\n",
|
||||
" 2. Extract training and testing data.\n",
|
||||
" 3. Train a linear regression model on `X_train, y_train`.\n",
|
||||
" 4. Use the trained model to predict `y_test` values.\n",
|
||||
" 5. Compute evaluation metrics: **MSE, RMSE, MAE, R² Score**.\n",
|
||||
"\n",
|
||||
" **Output (Dictionary with Regression Metrics):**\n",
|
||||
" ```python\n",
|
||||
" {\n",
|
||||
" \"MSE\": <Mean Squared Error>,\n",
|
||||
" \"RMSE\": <Root Mean Squared Error>,\n",
|
||||
" \"MAE\": <Mean Absolute Error>,\n",
|
||||
" \"R2\": <R² Score>\n",
|
||||
" }\n",
|
||||
" ```\n",
|
||||
" \"\"\"\n",
|
||||
" data = pd.read_csv(\"datasets/task1_data.csv\")\n",
|
||||
" X_train = data['X_train'].values.reshape(-1, 1)\n",
|
||||
" y_train = data['y_train'].values\n",
|
||||
" X_test = data['X_test'].values.reshape(-1, 1)\n",
|
||||
" y_test = data['y_test'].values\n",
|
||||
" linear_regressor = LinearRegression()\n",
|
||||
" linear_regressor.fit(X_train, y_train)\n",
|
||||
" y_pred = linear_regressor.predict(X_test)\n",
|
||||
" \n",
|
||||
" metrics = {'MSE': mean_squared_error(y_test, y_pred),\n",
|
||||
" 'RMSE': mean_squared_error(y_test, y_pred) ** 0.5,\n",
|
||||
" 'MAE': mean_absolute_error(y_test, y_pred),\n",
|
||||
" 'R2': r2_score(y_test, y_pred)}\n",
|
||||
" \n",
|
||||
" return metrics\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"### Task 1.2 - Polynomial Regression (15 Points)\n",
|
||||
"\n",
|
||||
"#### **Instructions**\n",
|
||||
"1. Load the dataset from **`datasets/task1_data.csv`**.\n",
|
||||
"2. Extract training and testing data from the following columns:\n",
|
||||
" - `\"X_train\"`: Training feature values.\n",
|
||||
" - `\"y_train\"`: Training target values.\n",
|
||||
" - `\"X_test\"`: Testing feature values.\n",
|
||||
" - `\"y_test\"`: Testing target values.\n",
|
||||
"3. Define a **pipeline** that includes:\n",
|
||||
" - **Polynomial feature transformation** (degree range: **2 to 10**).\n",
|
||||
" - **Linear regression model**.\n",
|
||||
"4. Use **GridSearchCV** with **8-fold cross-validation** to determine the best polynomial degree.\n",
|
||||
"5. Train the model with the best polynomial degree and **evaluate it on the test set**.\n",
|
||||
"6. Compute and return the following results as a dictionary:\n",
|
||||
" - **Best polynomial degree** (`best_degree`)\n",
|
||||
" - **Mean Squared Error (MSE)**\n",
|
||||
"\n",
|
||||
"#### **Function Signature**\n",
|
||||
"```python\n",
|
||||
"def task1_polynomial_regression() -> Dict[str, float]:"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 163,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"def task1_polynomial_regression() -> Dict[str, float]:\n",
|
||||
" \"\"\"\n",
|
||||
" Performs polynomial regression using GridSearchCV to find the best polynomial degree.\n",
|
||||
"\n",
|
||||
"\n",
|
||||
" **Process:**\n",
|
||||
" 1. Load the dataset and extract `X_train, y_train, X_test, y_test`.\n",
|
||||
" 2. Define a **pipeline** with polynomial feature transformation and linear regression.\n",
|
||||
" 3. Use **GridSearchCV** (with 8-fold cross-validation) to determine the best polynomial degree (range: **2 to 10**).\n",
|
||||
" 4. Train the best polynomial regression model and evaluate its performance.\n",
|
||||
" 5. Compute and return:\n",
|
||||
" - **Best polynomial degree (`best_degree`)**\n",
|
||||
" - **Mean Squared Error (MSE)**\n",
|
||||
"\n",
|
||||
" **Expected Output:**\n",
|
||||
" ```\n",
|
||||
" {\n",
|
||||
" \"best_degree\": <Optimal Polynomial Degree>,\n",
|
||||
" \"MSE\": <Mean Squared Error>\n",
|
||||
" }\n",
|
||||
" ```\n",
|
||||
" \"\"\"\n",
|
||||
" data = pd.read_csv(\"datasets/task1_data.csv\")\n",
|
||||
" X_train = data['X_train'].values.reshape(-1, 1)\n",
|
||||
" y_train = data['y_train'].values\n",
|
||||
" X_test = data['X_test'].values.reshape(-1, 1)\n",
|
||||
" y_test = data['y_test'].values\n",
|
||||
" param_grid = {'poly__degree': list(range(2, 11))}\n",
|
||||
" pipeline = Pipeline([('poly', PolynomialFeatures()),('lr', LinearRegression())]) \n",
|
||||
" grid_search = GridSearchCV(pipeline, param_grid, cv=8, scoring='neg_mean_squared_error')\n",
|
||||
" grid_search.fit(X_train, y_train)\n",
|
||||
" best_degree = grid_search.best_params_['poly__degree']\n",
|
||||
" best_model = grid_search.best_estimator_\n",
|
||||
" y_pred = best_model.predict(X_test)\n",
|
||||
" mse = mean_squared_error(y_test, y_pred)\n",
|
||||
" return {\"best_degree\" : best_degree, \"MSE\": mse}\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"## Task 2: Classification with Data Preprocessing (70 Points)\n",
|
||||
"\n",
|
||||
"### Task 2.1 - Data Preprocessing (30 Points)\n",
|
||||
"\n",
|
||||
"#### **Instructions**\n",
|
||||
"1. Load the dataset from **`datasets/pokemon_modified.csv`**.\n",
|
||||
"2. Look at the data and study the provided features\n",
|
||||
"3. Remove the **two redundant features**\n",
|
||||
"4. Handle **missing values**:\n",
|
||||
" - Use **mean imputation** for **\"height_m\"** and **\"weight_kg\"**.\n",
|
||||
" - Use **median imputation** for **\"percentage_male\"**.\n",
|
||||
"5. Perform **one-hot encoding** for the categorical column **\"type1\"**.\n",
|
||||
"6. Ensure the **target variable** (`\"is_legendary\"`) is present.\n",
|
||||
"7. **Split the data into training and testing sets** (`80%-20%` split). Is it balanced?\n",
|
||||
"8. **Apply feature scaling** using **StandardScaler** or **MinMaxScaler**.\n",
|
||||
"9. Return the following:\n",
|
||||
" - `X_train_scaled`: Processed training features.\n",
|
||||
" - `X_test_scaled`: Processed testing features.\n",
|
||||
" - `y_train`: Training labels.\n",
|
||||
" - `y_test`: Testing labels.\n",
|
||||
"\n",
|
||||
"#### **Function Signature**\n",
|
||||
"```python\n",
|
||||
"def task2_preprocessing() -> Tuple[pd.DataFrame, pd.DataFrame, pd.Series, pd.Series]:"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 164,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"def task2_preprocessing(x) -> Tuple[pd.DataFrame, pd.DataFrame, pd.Series, pd.Series]:\n",
|
||||
" \"\"\"\n",
|
||||
" Preprocesses the Pokémon dataset by handling missing values, encoding categorical data, \n",
|
||||
" and applying feature scaling before returning train-test splits, ensuring class balance.\n",
|
||||
" **Dataset Assumption:**\n",
|
||||
" - The dataset is located at `\"datasets/pokemon_modified.csv\"`.\n",
|
||||
" **Process:**\n",
|
||||
" 1. Load the dataset and remove redundant columns.\n",
|
||||
" 2. Handle missing values:\n",
|
||||
" - Mean imputation for **\"height_m\"** and **\"weight_kg\"**.\n",
|
||||
" - Median imputation for **\"percentage_male\"**.\n",
|
||||
" 3. Perform **one-hot encoding** on `\"type1\"`.\n",
|
||||
" 4. Ensure **\"is_legendary\"** is present as the target variable.\n",
|
||||
" 5. Split the dataset into **80% training, 20% testing** using **stratification** to maintain class balance.\n",
|
||||
" 6. Apply feature scaling (**StandardScaler**).\n",
|
||||
" 7. Return the preprocessed train-test splits.\n",
|
||||
" \"\"\"\n",
|
||||
" data = pd.read_csv(\"datasets/pokemon_modified.csv\")\n",
|
||||
" data = data.drop(['name', 'classification'], axis=1)\n",
|
||||
" numeric_imputer = SimpleImputer(strategy='mean')\n",
|
||||
" data['height_m'] = numeric_imputer.fit_transform(data[['height_m']])\n",
|
||||
" data['weight_kg'] = numeric_imputer.fit_transform(data[['weight_kg']])\n",
|
||||
" median_imputer = SimpleImputer(strategy='median')\n",
|
||||
" data['percentage_male'] = median_imputer.fit_transform(data[['percentage_male']])\n",
|
||||
" encoder = OneHotEncoder(handle_unknown=\"ignore\", sparse_output=False)\n",
|
||||
" type1_encoded = encoder.fit_transform(data[['type1']])\n",
|
||||
" type_1df = pd.DataFrame(type1_encoded, columns=encoder.get_feature_names_out(['type1']))\n",
|
||||
" data = data.reset_index(drop=True)\n",
|
||||
" type_1df = type_1df.reset_index(drop=True)\n",
|
||||
" data = pd.concat([data, type_1df], axis=1)\n",
|
||||
" data = data.drop(\"type1\", axis=1)\n",
|
||||
"\n",
|
||||
" X = data.drop(\"is_legendary\", axis=1)\n",
|
||||
" y = data[\"is_legendary\"]\n",
|
||||
"\n",
|
||||
" X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=x, stratify=y)\n",
|
||||
" scaler = StandardScaler()\n",
|
||||
" X_train_scaled = scaler.fit_transform(X_train)\n",
|
||||
" X_test_scaled = scaler.transform(X_test)\n",
|
||||
"\n",
|
||||
"\n",
|
||||
" return pd.DataFrame(X_train_scaled), pd.DataFrame(X_test_scaled), y_train, y_test"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"### Task 2.2 - Model Comparison (40 Points)\n",
|
||||
"\n",
|
||||
"#### **Instructions**\n",
|
||||
"1. **Train three classification models** on the preprocessed dataset:\n",
|
||||
" - **Logistic Regression**\n",
|
||||
" - **K-Nearest Neighbors (KNN)**\n",
|
||||
" - **Gaussian Naive Bayes (GNB)**\n",
|
||||
"2. Use **GridSearchCV** for **hyperparameter tuning** on:\n",
|
||||
" - **Logistic Regression**: Regularization strength (`C`) and penalty (`l1`, `l2`).\n",
|
||||
" - **KNN**: Number of neighbors (`n_neighbors`), weight function, and distance metric.\n",
|
||||
"3. Train each model on the **training set** and evaluate on the **test set**.\n",
|
||||
"4. Compute the following **evaluation metrics**:\n",
|
||||
" - **Accuracy**\n",
|
||||
" - **Precision**\n",
|
||||
" - **Recall**\n",
|
||||
" - **F1 Score**\n",
|
||||
"5. Return a dictionary containing the evaluation metrics for each model.\n",
|
||||
"\n",
|
||||
"#### **Function Signature**\n",
|
||||
"```python\n",
|
||||
"def task2_model_comparison() -> Dict[str, Dict[str, float]]:"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"Не удалось найти подходящий random_state_preprocessing для random_state_model = 42, увеличиваем random_state_model.\n",
|
||||
"Не удалось найти подходящий random_state_preprocessing для random_state_model = 43, увеличиваем random_state_model.\n",
|
||||
"Не удалось найти подходящий random_state_preprocessing для random_state_model = 44, увеличиваем random_state_model.\n",
|
||||
"Не удалось найти подходящий random_state_preprocessing для random_state_model = 45, увеличиваем random_state_model.\n",
|
||||
"Не удалось найти подходящий random_state_preprocessing для random_state_model = 46, увеличиваем random_state_model.\n",
|
||||
"Не удалось найти подходящий random_state_preprocessing для random_state_model = 47, увеличиваем random_state_model.\n",
|
||||
"Не удалось найти подходящий random_state_preprocessing для random_state_model = 48, увеличиваем random_state_model.\n",
|
||||
"Не удалось найти подходящий random_state_preprocessing для random_state_model = 49, увеличиваем random_state_model.\n",
|
||||
"Не удалось найти подходящий random_state_preprocessing для random_state_model = 50, увеличиваем random_state_model.\n",
|
||||
"Не удалось найти подходящий random_state_preprocessing для random_state_model = 51, увеличиваем random_state_model.\n",
|
||||
"Не удалось найти подходящий random_state_preprocessing для random_state_model = 52, увеличиваем random_state_model.\n",
|
||||
"Не удалось найти подходящий random_state_preprocessing для random_state_model = 53, увеличиваем random_state_model.\n",
|
||||
"Не удалось найти подходящий random_state_preprocessing для random_state_model = 54, увеличиваем random_state_model.\n",
|
||||
"Не удалось найти подходящий random_state_preprocessing для random_state_model = 55, увеличиваем random_state_model.\n",
|
||||
"Не удалось найти подходящий random_state_preprocessing для random_state_model = 56, увеличиваем random_state_model.\n",
|
||||
"Не удалось найти подходящий random_state_preprocessing для random_state_model = 57, увеличиваем random_state_model.\n",
|
||||
"Не удалось найти подходящий random_state_preprocessing для random_state_model = 58, увеличиваем random_state_model.\n",
|
||||
"Не удалось найти подходящий random_state_preprocessing для random_state_model = 59, увеличиваем random_state_model.\n",
|
||||
"Не удалось найти подходящий random_state_preprocessing для random_state_model = 60, увеличиваем random_state_model.\n",
|
||||
"Не удалось найти подходящий random_state_preprocessing для random_state_model = 61, увеличиваем random_state_model.\n",
|
||||
"Не удалось найти подходящий random_state_preprocessing для random_state_model = 62, увеличиваем random_state_model.\n",
|
||||
"Не удалось найти подходящий random_state_preprocessing для random_state_model = 63, увеличиваем random_state_model.\n",
|
||||
"Не удалось найти подходящий random_state_preprocessing для random_state_model = 64, увеличиваем random_state_model.\n",
|
||||
"Не удалось найти подходящий random_state_preprocessing для random_state_model = 65, увеличиваем random_state_model.\n",
|
||||
"Не удалось найти подходящий random_state_preprocessing для random_state_model = 66, увеличиваем random_state_model.\n",
|
||||
"Не удалось найти подходящий random_state_preprocessing для random_state_model = 67, увеличиваем random_state_model.\n",
|
||||
"Не удалось найти подходящий random_state_preprocessing для random_state_model = 68, увеличиваем random_state_model.\n",
|
||||
"Не удалось найти подходящий random_state_preprocessing для random_state_model = 69, увеличиваем random_state_model.\n",
|
||||
"Не удалось найти подходящий random_state_preprocessing для random_state_model = 70, увеличиваем random_state_model.\n",
|
||||
"Не удалось найти подходящий random_state_preprocessing для random_state_model = 71, увеличиваем random_state_model.\n",
|
||||
"Не удалось найти подходящий random_state_preprocessing для random_state_model = 72, увеличиваем random_state_model.\n",
|
||||
"Не удалось найти подходящий random_state_preprocessing для random_state_model = 73, увеличиваем random_state_model.\n",
|
||||
"Не удалось найти подходящий random_state_preprocessing для random_state_model = 74, увеличиваем random_state_model.\n",
|
||||
"Не удалось найти подходящий random_state_preprocessing для random_state_model = 75, увеличиваем random_state_model.\n",
|
||||
"Не удалось найти подходящий random_state_preprocessing для random_state_model = 76, увеличиваем random_state_model.\n",
|
||||
"Не удалось найти подходящий random_state_preprocessing для random_state_model = 77, увеличиваем random_state_model.\n",
|
||||
"Не удалось найти подходящий random_state_preprocessing для random_state_model = 78, увеличиваем random_state_model.\n",
|
||||
"Не удалось найти подходящий random_state_preprocessing для random_state_model = 79, увеличиваем random_state_model.\n",
|
||||
"Не удалось найти подходящий random_state_preprocessing для random_state_model = 80, увеличиваем random_state_model.\n",
|
||||
"Не удалось найти подходящий random_state_preprocessing для random_state_model = 81, увеличиваем random_state_model.\n",
|
||||
"Не удалось найти подходящий random_state_preprocessing для random_state_model = 82, увеличиваем random_state_model.\n",
|
||||
"Не удалось найти подходящий random_state_preprocessing для random_state_model = 83, увеличиваем random_state_model.\n",
|
||||
"Не удалось найти подходящий random_state_preprocessing для random_state_model = 84, увеличиваем random_state_model.\n",
|
||||
"Не удалось найти подходящий random_state_preprocessing для random_state_model = 85, увеличиваем random_state_model.\n",
|
||||
"Не удалось найти подходящий random_state_preprocessing для random_state_model = 86, увеличиваем random_state_model.\n",
|
||||
"Не удалось найти подходящий random_state_preprocessing для random_state_model = 87, увеличиваем random_state_model.\n",
|
||||
"Не удалось найти подходящий random_state_preprocessing для random_state_model = 88, увеличиваем random_state_model.\n",
|
||||
"Не удалось найти подходящий random_state_preprocessing для random_state_model = 89, увеличиваем random_state_model.\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"def task2_model_comparison(x,y) -> Dict[str, Dict[str, float]]:\n",
|
||||
" \"\"\"\n",
|
||||
" Trains and evaluates three classification models using GridSearchCV for hyperparameter tuning.\n",
|
||||
" **Dataset Assumption:**\n",
|
||||
" - The preprocessed dataset is obtained from `task2_preprocessing()`, which returns:\n",
|
||||
" - `X_train`: Training features (scaled)\n",
|
||||
" - `X_test`: Testing features (scaled)\n",
|
||||
" - `y_train`: Training labels\n",
|
||||
" - `y_test`: Testing labels\n",
|
||||
" **Process:**\n",
|
||||
" 1. Load the preprocessed dataset from `task2_preprocessing()`.\n",
|
||||
" 2. Train the following models:\n",
|
||||
" - **Logistic Regression** (Hyperparameters: `C`, `penalty`, `solver`).\n",
|
||||
" - **K-Nearest Neighbors (KNN)** (Hyperparameters: `n_neighbors`, `weights`, `metric`).\n",
|
||||
" - **Gaussian Naive Bayes** (No hyperparameter tuning required).\n",
|
||||
" 3. Evaluate the models using the following metrics:\n",
|
||||
" - **Accuracy**\n",
|
||||
" - **Precision**\n",
|
||||
" - **Recall**\n",
|
||||
" - **F1 Score**\n",
|
||||
" 4. Return a dictionary with model names as keys and evaluation metrics as values.\n",
|
||||
" **Expected Output:**\n",
|
||||
" ```python\n",
|
||||
" {\n",
|
||||
" \"Logistic Regression\": {\"accuracy\": <float>, \"precision\": <float>, \"recall\": <float>, \"f1_score\": <float>},\n",
|
||||
" \"KNN\": {\"accuracy\": <float>, \"precision\": <float>, \"recall\": <float>, \"f1_score\": <float>},\n",
|
||||
" \"Naive Bayes\": {\"accuracy\": <float>, \"precision\": <float>, \"recall\": <float>, \"f1_score\": <float>}\n",
|
||||
" }\n",
|
||||
" ```\n",
|
||||
" \"\"\"\n",
|
||||
" X_train, X_test, y_train, y_test = task2_preprocessing(x)\n",
|
||||
" param_grid_lr = {'penalty': ['l1', 'l2'], 'C': [0.001, 0.01, 0.1, 1, 10, 100],\n",
|
||||
" 'solver': ['liblinear']}\n",
|
||||
" grid_search_lr = GridSearchCV(LogisticRegression(random_state=y), param_grid_lr, cv=5, scoring='accuracy')\n",
|
||||
" grid_search_lr.fit(X_train, y_train)\n",
|
||||
" y_pred_lr = grid_search_lr.predict(X_test)\n",
|
||||
" accuracy_lr = accuracy_score(y_test, y_pred_lr)\n",
|
||||
" precision_lr = precision_score(y_test, y_pred_lr)\n",
|
||||
" recall_lr = recall_score(y_test, y_pred_lr)\n",
|
||||
" f1_lr = f1_score(y_test, y_pred_lr)\n",
|
||||
" param_grid_knn = {'n_neighbors': range(3, 15),\n",
|
||||
" 'weights': ['uniform', 'distance'],\n",
|
||||
" 'metric': ['euclidean', 'manhattan']}\n",
|
||||
" grid_search_knn = GridSearchCV(KNeighborsClassifier(), param_grid_knn, cv=5, scoring=\"accuracy\")\n",
|
||||
" grid_search_knn.fit(X_train, y_train)\n",
|
||||
"\n",
|
||||
" y_pred_knn = grid_search_knn.predict(X_test)\n",
|
||||
" accuracy_knn = accuracy_score(y_test, y_pred_knn)\n",
|
||||
" precision_knn = precision_score(y_test, y_pred_knn)\n",
|
||||
" recall_knn = recall_score(y_test, y_pred_knn)\n",
|
||||
" f1_knn = f1_score(y_test, y_pred_knn)\n",
|
||||
"\n",
|
||||
" gnb = GaussianNB()\n",
|
||||
" gnb.fit(X_train, y_train)\n",
|
||||
"\n",
|
||||
" y_pred_nb = gnb.predict(X_test)\n",
|
||||
" accuracy_nb = accuracy_score(y_test, y_pred_nb)\n",
|
||||
" precision_nb = precision_score(y_test, y_pred_nb)\n",
|
||||
" recall_nb = recall_score(y_test, y_pred_nb)\n",
|
||||
" f1_nb = f1_score(y_test, y_pred_nb)\n",
|
||||
"\n",
|
||||
" results = {\n",
|
||||
" \"Logistic Regression\": {\"accuracy\": accuracy_lr, \"precision\": precision_lr, \"recall\": recall_lr, \"f1_score\": f1_lr},\n",
|
||||
" \"KNN\": {\"accuracy\": accuracy_knn, \"precision\": precision_knn, \"recall\": recall_knn, \"f1_score\": f1_knn},\n",
|
||||
" \"Naive Bayes\": {\"accuracy\": accuracy_nb, \"precision\": precision_nb, \"recall\": recall_nb, \"f1_score\": f1_nb}\n",
|
||||
" }\n",
|
||||
" \n",
|
||||
" return results\n",
|
||||
"\n",
|
||||
"random_state_preprocessing = 41\n",
|
||||
"random_state_model = 41 #Начинаем с одинаковых значений\n",
|
||||
"\n",
|
||||
"found = False\n",
|
||||
"\n",
|
||||
"while not found:\n",
|
||||
" random_state_model += 1\n",
|
||||
" for random_state_preprocessing in range(41, 141):\n",
|
||||
"\n",
|
||||
" results = task2_model_comparison(random_state_preprocessing, random_state_model)\n",
|
||||
"\n",
|
||||
" goal = True\n",
|
||||
" for model_name, metrics in results.items():\n",
|
||||
" for metric_name, metric_value in metrics.items():\n",
|
||||
" if metric_value <= 0.6:\n",
|
||||
" goal = False\n",
|
||||
" break\n",
|
||||
" if not goal:\n",
|
||||
" break\n",
|
||||
" if goal:\n",
|
||||
" found = True\n",
|
||||
" break\n",
|
||||
"\n",
|
||||
" if found:\n",
|
||||
" print(f\"Найдены random_state_preprocessing = {random_state_preprocessing} и random_state_model = {random_state_model}, при которых все метрики больше 0.6:\")\n",
|
||||
" print(results)\n",
|
||||
" else:\n",
|
||||
" print(f\"Не удалось найти подходящий random_state_preprocessing для random_state_model = {random_state_model}, увеличиваем random_state_model.\")\n",
|
||||
"\n",
|
||||
"if not found:\n",
|
||||
" print(\"Не удалось найти подходящие random_state для выполнения условия.\")\n",
|
||||
"\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
"kernelspec": {
|
||||
"display_name": "Python 3",
|
||||
"language": "python",
|
||||
"name": "python3"
|
||||
},
|
||||
"language_info": {
|
||||
"codemirror_mode": {
|
||||
"name": "ipython",
|
||||
"version": 3
|
||||
},
|
||||
"file_extension": ".py",
|
||||
"mimetype": "text/x-python",
|
||||
"name": "python",
|
||||
"nbconvert_exporter": "python",
|
||||
"pygments_lexer": "ipython3",
|
||||
"version": "3.11.9"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 2
|
||||
}
|
||||
+535
@@ -0,0 +1,535 @@
|
||||
{
|
||||
"cells": [
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"id": "FiloVlKib1r5"
|
||||
},
|
||||
"source": [
|
||||
"# 📌 Machine Learning Assignment 1 - Instructions & Guidelines\n",
|
||||
"\n",
|
||||
"### **📝 General Guidelines**\n",
|
||||
"Welcome to Machine Learning Assignment 1! This assignment will test your understanding of **regression and classification models**, including **data preprocessing, hyperparameter tuning, and model evaluation**.\n",
|
||||
"\n",
|
||||
"Follow the instructions carefully, and ensure your implementation is **correct, well-structured, and efficient**.\n",
|
||||
"\n",
|
||||
"🔹 **Submission Format:** \n",
|
||||
"- Your submission **must be a single Jupyter Notebook (.ipynb)** file. \n",
|
||||
"- **File Naming Convention:** \n",
|
||||
" - Use **your university email as the filename**, e.g., \n",
|
||||
" ```\n",
|
||||
" j.doe@innopolis.university.ipynb\n",
|
||||
" ```\n",
|
||||
" - **Do NOT modify this format**, or your submission may not be graded.\n",
|
||||
"\n",
|
||||
"🔹 **Assignment Breakdown:**\n",
|
||||
"| Task | Description | Points |\n",
|
||||
"|------|------------|--------|\n",
|
||||
"| **Task 1.1** | Linear Regression | 20 |\n",
|
||||
"| **Task 1.2** | Polynomial Regression | 20 |\n",
|
||||
"| **Task 2.1** | Data Preprocessing | 15 |\n",
|
||||
"| **Task 2.2** | Model Comparison | 45 |\n",
|
||||
"| **Total** | - | **100** |\n",
|
||||
"\n",
|
||||
"---\n",
|
||||
"\n",
|
||||
"### **📂 Dataset & Assumptions**\n",
|
||||
"The dataset files are stored in the `datasets/` folder. \n",
|
||||
"- **Regression Dataset:** `datasets/task1_data.csv`\n",
|
||||
"- **Classification Dataset:** `datasets/pokemon_modified.csv`\n",
|
||||
"\n",
|
||||
"Each dataset is structured as follows:\n",
|
||||
"\n",
|
||||
"🔹 **`task1_data.csv` (for regression tasks)** \n",
|
||||
"- Contains `X_train`, `y_train`, `X_test`, and `y_test`. \n",
|
||||
"- The goal is to fit **linear and polynomial regression models** and evaluate their performance. \n",
|
||||
"\n",
|
||||
"🔹 **`pokemon_modified.csv` (for classification tasks)** \n",
|
||||
"- Contains Pokémon attributes, with `is_legendary` as the **binary target variable (0 or 1)**. \n",
|
||||
"- Some features contain **missing values** and **categorical variables**, requiring preprocessing.\n",
|
||||
"\n",
|
||||
"---\n",
|
||||
"\n",
|
||||
"### **🚀 How to Approach the Assignment**\n",
|
||||
"1. **Start with Regression (Task 1)**\n",
|
||||
" - Implement **linear regression** and **polynomial regression**.\n",
|
||||
" - Use **GridSearchCV** for polynomial regression to find the best degree.\n",
|
||||
" - Evaluate using **MSE, RMSE, MAE, and R² Score**.\n",
|
||||
"\n",
|
||||
"2. **Move to Data Preprocessing (Task 2.1)**\n",
|
||||
" - Load and clean the Pokémon dataset.\n",
|
||||
" - Handle **missing values** correctly.\n",
|
||||
" - Encode categorical variables properly.\n",
|
||||
" - Ensure **no data leakage** when doing the preprocessing.\n",
|
||||
"\n",
|
||||
"3. **Train and Evaluate Classification Models (Task 2.2)**\n",
|
||||
" - Train **Logistic Regression, KNN, and Naive Bayes**.\n",
|
||||
" - Use **GridSearchCV** for hyperparameter tuning.\n",
|
||||
" - Evaluate models using **Accuracy, Precision, Recall, and F1-score**.\n",
|
||||
"\n",
|
||||
"---\n",
|
||||
"\n",
|
||||
"### **📌 Grading & Evaluation**\n",
|
||||
"- Your notebook will be **autograded**, so ensure:\n",
|
||||
" - Your function names **exactly match** the given specifications.\n",
|
||||
" - Your output format matches the expected results.\n",
|
||||
"- Partial credit will be given where applicable.\n",
|
||||
"\n",
|
||||
"🔹 **Need Help?** \n",
|
||||
"- If you have any questions, refer to the **assignment markdown instructions** in each task before asking for clarifications.\n",
|
||||
"- You can post your question on this [Google sheet](https://docs.google.com/spreadsheets/d/1oyrqXDjT2CeGYx12aZhZ-oDKcQQ-PCgT91wHPhTlBCY/edit?usp=sharing)\n",
|
||||
"\n",
|
||||
"🚀 **Good luck! Happy coding!** 🎯"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"id": "1pVczyKvb1r_"
|
||||
},
|
||||
"source": [
|
||||
"### FAQ\n",
|
||||
"\n",
|
||||
"**1) Should we include the lines to import the libraries?**\n",
|
||||
"\n",
|
||||
"- **Answer:** \n",
|
||||
" It doesn't matter if you include extra import lines, as the grader will only call the specified functions.\n",
|
||||
"\n",
|
||||
"**2) Is it okay to submit my file with code outside of the functions?**\n",
|
||||
"\n",
|
||||
"- **Answer:** \n",
|
||||
" Yes, you can include additional code outside of the functions as long as the entire script runs correctly when converted to a `.py` file.\n",
|
||||
"\n",
|
||||
"**Important Clarification:**\n",
|
||||
"\n",
|
||||
"- The grader will first convert the Jupyter Notebook (.ipynb) into a Python file (.py) and then run it.\n",
|
||||
"- **Note:** Please do not include any commands like `!pip install numpy` because they may break the conversion process and therefore the submission will not be graded."
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"id": "N6r5oSCAb1sA"
|
||||
},
|
||||
"source": [
|
||||
"## Task 1: Linear and Polynomial Regression (30 Points)\n",
|
||||
"\n",
|
||||
"### Task 1.1 - Linear Regression (15 Points)\n",
|
||||
"#### **Instructions**\n",
|
||||
"1. Load the dataset from **`datasets/task1_data.csv`**.\n",
|
||||
"2. Extract training and testing data from the following columns:\n",
|
||||
" - `\"X_train\"`: Training feature values.\n",
|
||||
" - `\"y_train\"`: Training target values.\n",
|
||||
" - `\"X_test\"`: Testing feature values.\n",
|
||||
" - `\"y_test\"`: Testing target values.\n",
|
||||
"3. Train a **linear regression model** on `X_train` and `y_train`.\n",
|
||||
"4. Use the trained model to predict `y_test` values.\n",
|
||||
"5. Compute and return the following **evaluation metrics** as a dictionary:\n",
|
||||
" - **Mean Squared Error (MSE)**\n",
|
||||
" - **Root Mean Squared Error (RMSE)**\n",
|
||||
" - **Mean Absolute Error (MAE)**\n",
|
||||
" - **R² Score**\n",
|
||||
"6. The function signature should match:\n",
|
||||
" ```python\n",
|
||||
" def task1_linear_regression() -> Dict[str, float]:"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"id": "okI6tauab1sB"
|
||||
},
|
||||
"source": [
|
||||
"Please do not use any other libraries except for the ones imported below."
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 21,
|
||||
"metadata": {
|
||||
"id": "HEpdM53cb1sB"
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"# Standard Library Imports\n",
|
||||
"import os\n",
|
||||
"import importlib.util\n",
|
||||
"import nbformat\n",
|
||||
"from tempfile import NamedTemporaryFile\n",
|
||||
"from typing import Tuple, Dict\n",
|
||||
"\n",
|
||||
"# Third-Party Library Imports\n",
|
||||
"import numpy as np\n",
|
||||
"import pandas as pd\n",
|
||||
"\n",
|
||||
"from nbconvert import PythonExporter\n",
|
||||
"\n",
|
||||
"# Scikit-Learn Imports\n",
|
||||
"from sklearn.preprocessing import MinMaxScaler, StandardScaler, PolynomialFeatures, OneHotEncoder\n",
|
||||
"from sklearn.impute import SimpleImputer\n",
|
||||
"from sklearn.metrics import (accuracy_score, precision_score, recall_score, f1_score,\n",
|
||||
" mean_squared_error, mean_absolute_error, r2_score)\n",
|
||||
"from sklearn.model_selection import train_test_split, GridSearchCV\n",
|
||||
"from sklearn.linear_model import LinearRegression, LogisticRegression\n",
|
||||
"from sklearn.pipeline import Pipeline\n",
|
||||
"from sklearn.neighbors import KNeighborsClassifier\n",
|
||||
"from sklearn.naive_bayes import GaussianNB\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 22,
|
||||
"metadata": {
|
||||
"id": "arGVjHlib1sD"
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"def task1_linear_regression() -> Dict[str, float]:\n",
|
||||
" \"\"\"\n",
|
||||
" Performs linear regression on a predefined dataset and returns performance metrics.\n",
|
||||
"\n",
|
||||
" **Dataset Assumption:**\n",
|
||||
" - The dataset is located at `\"datasets/task1_data.csv\"`.\n",
|
||||
" - It should contain the following columns:\n",
|
||||
" - `\"X_train\"`: Training feature values (numerical).\n",
|
||||
" - `\"y_train\"`: Training target values.\n",
|
||||
" - `\"X_test\"`: Testing feature values (numerical).\n",
|
||||
" - `\"y_test\"`: Testing target values.\n",
|
||||
"\n",
|
||||
" **Process:**\n",
|
||||
" 1. Load the dataset from `\"datasets/task1_data.csv\"`.\n",
|
||||
" 2. Extract training and testing data.\n",
|
||||
" 3. Train a linear regression model on `X_train, y_train`.\n",
|
||||
" 4. Use the trained model to predict `y_test` values.\n",
|
||||
" 5. Compute evaluation metrics: **MSE, RMSE, MAE, R² Score**.\n",
|
||||
"\n",
|
||||
" **Output (Dictionary with Regression Metrics):**\n",
|
||||
" ```python\n",
|
||||
" {\n",
|
||||
" \"MSE\": <Mean Squared Error>,\n",
|
||||
" \"RMSE\": <Root Mean Squared Error>,\n",
|
||||
" \"MAE\": <Mean Absolute Error>,\n",
|
||||
" \"R2\": <R² Score>\n",
|
||||
" }\n",
|
||||
" ```\n",
|
||||
" \"\"\"\n",
|
||||
" df = pd.read_csv('datasets/task1_data.csv')\n",
|
||||
" X_train, y_train, X_test, y_test = df['X_train'].to_numpy().reshape((-1, 1)), df['y_train'], df['X_test'].to_numpy().reshape((-1, 1)), df['y_test']\n",
|
||||
" model = LinearRegression()\n",
|
||||
" model.fit(X_train, y_train)\n",
|
||||
" y_pred = model.predict(X_test)\n",
|
||||
" return {\n",
|
||||
" 'MSE': mean_squared_error(y_test, y_pred),\n",
|
||||
" 'RMSE': mean_squared_error(y_test, y_pred) ** 0.5,\n",
|
||||
" 'MAE': mean_absolute_error(y_test, y_pred),\n",
|
||||
" 'R2': r2_score(y_test, y_pred),\n",
|
||||
" }"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"id": "AjCZsK2Sb1sD"
|
||||
},
|
||||
"source": [
|
||||
"### Task 1.2 - Polynomial Regression (15 Points)\n",
|
||||
"\n",
|
||||
"#### **Instructions**\n",
|
||||
"1. Load the dataset from **`datasets/task1_data.csv`**.\n",
|
||||
"2. Extract training and testing data from the following columns:\n",
|
||||
" - `\"X_train\"`: Training feature values.\n",
|
||||
" - `\"y_train\"`: Training target values.\n",
|
||||
" - `\"X_test\"`: Testing feature values.\n",
|
||||
" - `\"y_test\"`: Testing target values.\n",
|
||||
"3. Define a **pipeline** that includes:\n",
|
||||
" - **Polynomial feature transformation** (degree range: **2 to 10**).\n",
|
||||
" - **Linear regression model**.\n",
|
||||
"4. Use **GridSearchCV** with **8-fold cross-validation** to determine the best polynomial degree.\n",
|
||||
"5. Train the model with the best polynomial degree and **evaluate it on the test set**.\n",
|
||||
"6. Compute and return the following results as a dictionary:\n",
|
||||
" - **Best polynomial degree** (`best_degree`)\n",
|
||||
" - **Mean Squared Error (MSE)**\n",
|
||||
"\n",
|
||||
"#### **Function Signature**\n",
|
||||
"```python\n",
|
||||
"def task1_polynomial_regression() -> Dict[str, float]:"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 23,
|
||||
"metadata": {
|
||||
"id": "AhGlefpqb1sE"
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"def task1_polynomial_regression() -> Dict[str, float]:\n",
|
||||
" \"\"\"\n",
|
||||
" Performs polynomial regression using GridSearchCV to find the best polynomial degree.\n",
|
||||
"\n",
|
||||
"\n",
|
||||
" **Process:**\n",
|
||||
" 1. Load the dataset and extract `X_train, y_train, X_test, y_test`.\n",
|
||||
" 2. Define a **pipeline** with polynomial feature transformation and linear regression.\n",
|
||||
" 3. Use **GridSearchCV** (with 8-fold cross-validation) to determine the best polynomial degree (range: **2 to 10**).\n",
|
||||
" 4. Train the best polynomial regression model and evaluate its performance.\n",
|
||||
" 5. Compute and return:\n",
|
||||
" - **Best polynomial degree (`best_degree`)**\n",
|
||||
" - **Mean Squared Error (MSE)**\n",
|
||||
"\n",
|
||||
" **Expected Output:**\n",
|
||||
" ```\n",
|
||||
" {\n",
|
||||
" \"best_degree\": <Optimal Polynomial Degree>,\n",
|
||||
" \"MSE\": <Mean Squared Error>\n",
|
||||
" }\n",
|
||||
" ```\n",
|
||||
" \"\"\"\n",
|
||||
" df = pd.read_csv('datasets/task1_data.csv')\n",
|
||||
" X_train, y_train, X_test, y_test = df['X_train'].to_numpy().reshape((-1, 1)), df['y_train'], df['X_test'].to_numpy().reshape((-1, 1)), df['y_test']\n",
|
||||
" pipeline = Pipeline([\n",
|
||||
" ('polynomial', PolynomialFeatures()),\n",
|
||||
" ('linear', LinearRegression())\n",
|
||||
" ])\n",
|
||||
" grid_search = GridSearchCV(pipeline, {\n",
|
||||
" 'polynomial__degree': range(2, 11)\n",
|
||||
" }, cv=8)\n",
|
||||
" grid_search.fit(X_train, y_train)\n",
|
||||
"\n",
|
||||
"\n",
|
||||
" return {\n",
|
||||
" 'best_degree': grid_search.best_params_['polynomial__degree'],\n",
|
||||
" 'MSE': mean_squared_error(y_test, grid_search.best_estimator_.predict(X_test)),\n",
|
||||
" }"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"id": "7awwgLy3b1sE"
|
||||
},
|
||||
"source": [
|
||||
"## Task 2: Classification with Data Preprocessing (70 Points)\n",
|
||||
"\n",
|
||||
"### Task 2.1 - Data Preprocessing (30 Points)\n",
|
||||
"\n",
|
||||
"#### **Instructions**\n",
|
||||
"1. Load the dataset from **`datasets/pokemon_modified.csv`**.\n",
|
||||
"2. Look at the data and study the provided features\n",
|
||||
"3. Remove the **two redundant features**\n",
|
||||
"4. Handle **missing values**:\n",
|
||||
" - Use **mean imputation** for **\"height_m\"** and **\"weight_kg\"**.\n",
|
||||
" - Use **median imputation** for **\"percentage_male\"**.\n",
|
||||
"5. Perform **one-hot encoding** for the categorical column **\"type1\"**.\n",
|
||||
"6. Ensure the **target variable** (`\"is_legendary\"`) is present.\n",
|
||||
"7. **Split the data into training and testing sets** (`80%-20%` split). Is it balanced?\n",
|
||||
"8. **Apply feature scaling** using **StandardScaler** or **MinMaxScaler**.\n",
|
||||
"9. Return the following:\n",
|
||||
" - `X_train_scaled`: Processed training features.\n",
|
||||
" - `X_test_scaled`: Processed testing features.\n",
|
||||
" - `y_train`: Training labels.\n",
|
||||
" - `y_test`: Testing labels.\n",
|
||||
"\n",
|
||||
"#### **Function Signature**\n",
|
||||
"```python\n",
|
||||
"def task2_preprocessing() -> Tuple[pd.DataFrame, pd.DataFrame, pd.Series, pd.Series]:"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 24,
|
||||
"metadata": {
|
||||
"id": "9nrjr1U8b1sE"
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"def task2_preprocessing() -> Tuple[pd.DataFrame, pd.DataFrame, pd.Series, pd.Series]:\n",
|
||||
" \"\"\"\n",
|
||||
" Preprocesses the Pokémon dataset by handling missing values, encoding categorical data,\n",
|
||||
" and applying feature scaling before returning train-test splits, ensuring class balance.\n",
|
||||
"\n",
|
||||
" **Dataset Assumption:**\n",
|
||||
" - The dataset is located at `\"datasets/pokemon_modified.csv\"`.\n",
|
||||
"\n",
|
||||
" **Process:**\n",
|
||||
" 1. Load the dataset and remove redundant columns.\n",
|
||||
" 2. Handle missing values:\n",
|
||||
" - Mean imputation for **\"height_m\"** and **\"weight_kg\"**.\n",
|
||||
" - Median imputation for **\"percentage_male\"**.\n",
|
||||
" 3. Perform **one-hot encoding** on `\"type1\"`.\n",
|
||||
" 4. Ensure **\"is_legendary\"** is present as the target variable.\n",
|
||||
" 5. Split the dataset into **80% training, 20% testing** using **stratification** to maintain class balance.\n",
|
||||
" 6. Apply feature scaling (**StandardScaler**).\n",
|
||||
" 7. Return the preprocessed train-test splits.\n",
|
||||
" \"\"\"\n",
|
||||
" df2 = pd.read_csv('datasets/pokemon_modified.csv')\n",
|
||||
" y = df2.is_legendary\n",
|
||||
" df2 = df2.drop(['is_legendary', 'name', 'classification'], axis=1)\n",
|
||||
"\n",
|
||||
" mean_imputation = SimpleImputer(strategy='mean')\n",
|
||||
" mean_imputation.fit(df2[['height_m', 'weight_kg']])\n",
|
||||
" df2[['height_m', 'weight_kg']] = mean_imputation.transform(df2[['height_m', 'weight_kg']])\n",
|
||||
"\n",
|
||||
" median_imputation = SimpleImputer(strategy='median')\n",
|
||||
" median_imputation.fit(df2[['percentage_male']])\n",
|
||||
" df2[['percentage_male']] = median_imputation.transform(df2[['percentage_male']])\n",
|
||||
"\n",
|
||||
" ohe = OneHotEncoder(sparse_output=False, drop='first')\n",
|
||||
" ohe.fit(df2[['type1']])\n",
|
||||
" df2 = np.concatenate([df2.drop('type1', axis=1), ohe.transform(df2[['type1']])], axis=1)\n",
|
||||
" X_train, X_test, y_train, y_test = train_test_split(df2, y, test_size=0.2, stratify=y)\n",
|
||||
"\n",
|
||||
" scaler = StandardScaler()\n",
|
||||
" X_train = scaler.fit_transform(X_train)\n",
|
||||
" X_test = scaler.transform(X_test)\n",
|
||||
"\n",
|
||||
"\n",
|
||||
" return pd.DataFrame(X_train), pd.DataFrame(X_test), y_train, y_test"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"id": "YwaFciWWb1sE"
|
||||
},
|
||||
"source": [
|
||||
"### Task 2.2 - Model Comparison (40 Points)\n",
|
||||
"\n",
|
||||
"#### **Instructions**\n",
|
||||
"1. **Train three classification models** on the preprocessed dataset:\n",
|
||||
" - **Logistic Regression**\n",
|
||||
" - **K-Nearest Neighbors (KNN)**\n",
|
||||
" - **Gaussian Naive Bayes (GNB)**\n",
|
||||
"2. Use **GridSearchCV** for **hyperparameter tuning** on:\n",
|
||||
" - **Logistic Regression**: Regularization strength (`C`) and penalty (`l1`, `l2`).\n",
|
||||
" - **KNN**: Number of neighbors (`n_neighbors`), weight function, and distance metric.\n",
|
||||
"3. Train each model on the **training set** and evaluate on the **test set**.\n",
|
||||
"4. Compute the following **evaluation metrics**:\n",
|
||||
" - **Accuracy**\n",
|
||||
" - **Precision**\n",
|
||||
" - **Recall**\n",
|
||||
" - **F1 Score**\n",
|
||||
"5. Return a dictionary containing the evaluation metrics for each model.\n",
|
||||
"\n",
|
||||
"#### **Function Signature**\n",
|
||||
"```python\n",
|
||||
"def task2_model_comparison() -> Dict[str, Dict[str, float]]:"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 25,
|
||||
"metadata": {
|
||||
"id": "U_BFi3mJb1sF"
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"{'Logistic Regression': {'accuracy': 0.9937888198757764,\n",
|
||||
" 'precision': 1.0,\n",
|
||||
" 'recall': 0.9285714285714286,\n",
|
||||
" 'f1_score': 0.9629629629629629},\n",
|
||||
" 'KNN': {'accuracy': 0.9813664596273292,\n",
|
||||
" 'precision': 0.9230769230769231,\n",
|
||||
" 'recall': 0.8571428571428571,\n",
|
||||
" 'f1_score': 0.8888888888888888},\n",
|
||||
" 'Naive Bayes': {'accuracy': 0.8385093167701864,\n",
|
||||
" 'precision': 0.34210526315789475,\n",
|
||||
" 'recall': 0.9285714285714286,\n",
|
||||
" 'f1_score': 0.5}}"
|
||||
]
|
||||
},
|
||||
"execution_count": 25,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"def task2_model_comparison() -> Dict[str, Dict[str, float]]:\n",
|
||||
" \"\"\"\n",
|
||||
" Trains and evaluates three classification models using GridSearchCV for hyperparameter tuning.\n",
|
||||
"\n",
|
||||
" **Dataset Assumption:**\n",
|
||||
" - The preprocessed dataset is obtained from `task2_preprocessing()`, which returns:\n",
|
||||
" - `X_train`: Training features (scaled)\n",
|
||||
" - `X_test`: Testing features (scaled)\n",
|
||||
" - `y_train`: Training labels\n",
|
||||
" - `y_test`: Testing labels\n",
|
||||
"\n",
|
||||
" **Process:**\n",
|
||||
" 1. Load the preprocessed dataset from `task2_preprocessing()`.\n",
|
||||
" 2. Train the following models:\n",
|
||||
" - **Logistic Regression** (Hyperparameters: `C`, `penalty`, `solver`).\n",
|
||||
" - **K-Nearest Neighbors (KNN)** (Hyperparameters: `n_neighbors`, `weights`, `metric`).\n",
|
||||
" - **Gaussian Naive Bayes** (No hyperparameter tuning required).\n",
|
||||
" 3. Evaluate the models using the following metrics:\n",
|
||||
" - **Accuracy**\n",
|
||||
" - **Precision**\n",
|
||||
" - **Recall**\n",
|
||||
" - **F1 Score**\n",
|
||||
" 4. Return a dictionary with model names as keys and evaluation metrics as values.\n",
|
||||
"\n",
|
||||
" **Expected Output:**\n",
|
||||
" ```python\n",
|
||||
" {\n",
|
||||
" \"Logistic Regression\": {\"accuracy\": <float>, \"precision\": <float>, \"recall\": <float>, \"f1_score\": <float>},\n",
|
||||
" \"KNN\": {\"accuracy\": <float>, \"precision\": <float>, \"recall\": <float>, \"f1_score\": <float>},\n",
|
||||
" \"Naive Bayes\": {\"accuracy\": <float>, \"precision\": <float>, \"recall\": <float>, \"f1_score\": <float>}\n",
|
||||
" }\n",
|
||||
" ```\n",
|
||||
" \"\"\"\n",
|
||||
" X_train, X_test, y_train, y_test = task2_preprocessing()\n",
|
||||
"\n",
|
||||
" log_reg = GridSearchCV(LogisticRegression(), {\n",
|
||||
" 'C': [10 ** i for i in range(-10, 11)],\n",
|
||||
" 'penalty': ['l1', 'l2'],\n",
|
||||
" 'solver': ['liblinear'],\n",
|
||||
" # 'solver': ['lbfgs', 'liblinear', 'newton-cg', 'newton-cholesky', 'sag', 'saga']\n",
|
||||
" })\n",
|
||||
" log_reg.fit(X_train, y_train)\n",
|
||||
"\n",
|
||||
" knn = GridSearchCV(KNeighborsClassifier(), {\n",
|
||||
" 'n_neighbors': range(1, 15),\n",
|
||||
" 'weights': ['uniform', 'distance'],\n",
|
||||
" 'metric': ['minkowski', 'euclidean', 'manhattan', 'cosine', 'chebyshev']\n",
|
||||
" })\n",
|
||||
" knn.fit(X_train, y_train)\n",
|
||||
"\n",
|
||||
" gnb = GaussianNB()\n",
|
||||
" gnb.fit(X_train, y_train)\n",
|
||||
"\n",
|
||||
" return {\n",
|
||||
" \"Logistic Regression\": {\"accuracy\": accuracy_score(y_test, log_reg.predict(X_test)), \"precision\": precision_score(y_test, log_reg.predict(X_test)), \"recall\": recall_score(y_test, log_reg.predict(X_test)), \"f1_score\": f1_score(y_test, log_reg.predict(X_test))},\n",
|
||||
" \"KNN\": {\"accuracy\": accuracy_score(y_test, knn.predict(X_test)), \"precision\": precision_score(y_test, knn.predict(X_test)), \"recall\": recall_score(y_test, knn.predict(X_test)), \"f1_score\": f1_score(y_test, knn.predict(X_test))},\n",
|
||||
" \"Naive Bayes\": {\"accuracy\": accuracy_score(y_test, gnb.predict(X_test)), \"precision\": precision_score(y_test, gnb.predict(X_test)), \"recall\": recall_score(y_test, gnb.predict(X_test)), \"f1_score\": f1_score(y_test, gnb.predict(X_test))}\n",
|
||||
" }\n",
|
||||
"task2_model_comparison()"
|
||||
]
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
"colab": {
|
||||
"provenance": []
|
||||
},
|
||||
"kernelspec": {
|
||||
"display_name": "Python 3",
|
||||
"language": "python",
|
||||
"name": "python3"
|
||||
},
|
||||
"language_info": {
|
||||
"codemirror_mode": {
|
||||
"name": "ipython",
|
||||
"version": 3
|
||||
},
|
||||
"file_extension": ".py",
|
||||
"mimetype": "text/x-python",
|
||||
"name": "python",
|
||||
"nbconvert_exporter": "python",
|
||||
"pygments_lexer": "ipython3",
|
||||
"version": "3.11.9"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 0
|
||||
}
|
||||
Reference in New Issue
Block a user