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初级

交叉验证

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初级参考 完整示例代码供参考,建议自己理解后重新输入
def solve():
    import pandas as pd
    from sklearn.neighbors import KNeighborsClassifier
    from sklearn.model_selection import cross_val_score
    df = pd.read_csv("https://data.zuihe.com/iris.csv")
    X = df.drop("species", axis=1); y = df["species"]
    scores = cross_val_score(KNeighborsClassifier(5), X, y, cv=5)
    folds = ",".join(f"{s:.2f}" for s in scores)
    print(f"{folds};{scores.mean():.2f}")

示例

输入
solve()
期望输出
0.97,1.00,0.93,0.97,1.00;0.97
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