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中级

KNN-类别不平衡

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中级参考 代码结构已给出，请填写 ____ 处 
def solve():
    import pandas as pd
    from sklearn.neighbors import KNeighborsClassifier
    from sklearn.model_selection import train_test_split
    from sklearn.metrics import classification_report
    from sklearn.preprocessing import LabelEncoder
    df = pd.read_csv(____)
    df = df[['____', '____', '____', '____', '____']].dropna()
    le = LabelEncoder()
    df['____'] = le.fit_transform(____)
    X = df.drop(____)
    y = df['____']
    X_train, X_test, y_train, y_test = train_test_split(____)
    knn = KNeighborsClassifier(____)
    knn.fit(____)
    y_pred = knn.predict(____)
    print(classification_report(____))

示例

输入
solve()
期望输出
precision    recall  f1-score   support

           0       0.70      0.77      0.73        87
           1       0.57      0.48      0.52        56

    accuracy                           0.66       143
   macro avg       0.64      0.63      0.63       143
weighted avg       0.65      0.66      0.65       143
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