質問編集履歴
2
記載の修正
test
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test
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@@ -4,7 +4,15 @@
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-
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```
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from sklearn.ensemble import RandomForestClassifier
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from sklearn.model_selection import GridSearchCV
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from sklearn.feature_selection import RFECV
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param_grid = {'estimator__n_estimators': [10, 20, 50, 100, 200],
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@@ -18,15 +26,17 @@
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estimator = RandomForestClassifier()
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selector = RFECV(estimator, scoring = 'f1_macro', cv = 5, step=1)
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clf = GridSearchCV(selector, param_grid, scoring = 'f1_macro', cv = 5)
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clf.fit(X, y)
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コード
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```
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1
書式の改善
test
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test
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@@ -4,7 +4,7 @@
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コード:
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param_grid = {'estimator__n_estimators': [10, 20, 50, 100, 200],
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@@ -14,19 +14,15 @@
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'estimator__max_samples' : [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8]}
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estimator = RandomForestClassifier()
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-
#RFECV
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selector = RFECV(estimator, scoring = 'f1_macro', cv = index_cv, step=1)
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#gridsearch
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clf = GridSearchCV(selector, param_grid, scoring = 'f1_macro', cv = index_cv)
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@@ -34,7 +30,7 @@
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エラー:
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FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details:
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