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中级

SVM-正则化参数C

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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.svm import SVC
    from sklearn.model_selection import train_test_split
    from sklearn.metrics import accuracy_score
    df = pd.read_csv(____)
    X = df.drop(____)
    y = df['____']
    X_train, X_test, y_train, y_test = train_test_split(____)
    for c in [____, ____, ____, ____]:
        svm = SVC(____)
        svm.fit(____)
        acc = accuracy_score(y_test, svm.predict(____))
        print(____)

示例

输入
solve()
期望输出
C=0.1: 0.9667
C=1: 1.0000
C=10: 1.0000
C=100: 0.9667
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