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中级

KNN-混淆矩阵分析

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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 confusion_matrix
    df = pd.read_csv(____)
    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(confusion_matrix(____))

示例

输入
solve()
期望输出
[[33  0  0  0  0  0  0  0  0  0]
 [ 0 28  0  0  0  0  0  0  0  0]
 [ 0  0 33  0  0  0  0  0  0  0]
 [ 0  0  0 34  0  0  0  0  0  0]
 [ 0  0  0  0 46  0  0  0  0  0]
 [ 0  0  0  0  0 45  1  0  0  1]
 [ 0  0  0  0  0  0 35  0  0  0]
 [ 0  0  0  0  0  0  0 33  0  1]
 [ 0  0  0  0  0  0  0  0 30  0]
 [ 0  0  0  0  1  1  0  0  0 38]]
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