回答編集履歴
1
補足を追加
answer
CHANGED
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@@ -10,4 +10,33 @@
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max_depth=6,
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n_estimators=1000,
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random_state=7)
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```
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---
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**【追記】**
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> その後正解率と平均正答率を出力したいのですが
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とりあえずは、こんな感じでしょうか
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```Python
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from sklearn.ensemble import RandomForestClassifier
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from sklearn.model_selection import StratifiedKFold
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from sklearn.metrics import accuracy_score
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scores = []
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kf = StratifiedKFold(n_splits=5, shuffle=True)
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for train_index, test_index in kf.split(X, y):
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train_X = X[train_index]
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train_y = y[train_index]
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test_X = X[test_index]
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test_y = y[test_index]
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lr = RandomForestClassifier(criterion='gini',
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32
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max_depth=6,
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n_estimators=1000,
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random_state=7)
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lr.fit(train_X, train_y)
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pred_y = lr.predict(test_X)
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score = accuracy_score(test_y, pred_y)
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scores.append(score)
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print(f"SCORE : {score}")
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print(f"Average Score : {sum(scores) / len(scores)}")
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```
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