実践多クラス分類 Kaggle Ottoã‹ã‚‰å¦ã‚“ã ã“ã¨3. kaggle Otto Group Product Classification Challenge IN:93個ã®ç‰¹å¾´é‡ã€OUT:9クラスã«åˆ†é¡ž train.csv 61878è¡Œ test.csv 144368è¡Œ å„クラスã§ã‚る確率をæ出ã—ã€log lossã§è©•ä¾¡ 3 5. Stratified K Fold train.csvã¯å„クラスã”ã¨ã«ãƒ‡ãƒ¼ã‚¿ãŒä¸¦ã‚“ã§ã„㟠→å˜ç´”ã«åˆ†å‰²ã—ã¦ãƒ†ã‚¹ãƒˆãƒ‡ãƒ¼ã‚¿ã«ã—ã¦ã¯ã„ã‘ãªã„ →Scikit-learnãŒè‰²ã€…ãªæ–¹æ³•ã‚’æä¾›ã—ã¦ã„ã‚‹ 例: StratifiedKFold：クラス比率をä¿ã¤ã‚ˆã†ã«åˆ†å‰² 5 def do_cross_validation(): model = make_model() cv = cross_validation.StratifiedKFold(ys) scores = cross_validation.cross_val_sc
Python ã¨ãƒ‡ãƒ¼ã‚¿åˆ†æžã‚³ãƒ³ãƒ†ã‚¹ãƒˆã®å®Ÿè·µ
{{#tags}}- {{label}}
{{/tags}}