随机森林分类

def solve():
    import pandas as pd
    from sklearn.ensemble import RandomForestClassifier
    from sklearn.model_selection import train_test_split
    df = pd.read_csv("https://data.zuihe.com/breast_cancer.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)
    rf = RandomForestClassifier(n_estimators=100, random_state=42).fit(X_train, y_train)
    print(f"{rf.score(X_test, y_test):.4f}")