朴素贝叶斯分类

def solve():
    import pandas as pd
    from sklearn.naive_bayes import GaussianNB
    from sklearn.model_selection import train_test_split
    df = pd.read_csv("https://data.zuihe.com/wine.csv")
    X = df.drop("target", axis=1); y = df["target"]
    X_train, X_test, y_train, y_test = train_test_split(X, y, random_state=42)
    nb = GaussianNB().fit(X_train, y_train)
    print(f"{nb.score(X_test, y_test):.4f}")