Pipeline+交叉验证可视化

def solve():
    import pandas as pd
    import matplotlib.pyplot as plt
    from sklearn.pipeline import Pipeline
    from sklearn.preprocessing import StandardScaler
    from sklearn.svm import SVC
    from sklearn.model_selection import cross_val_score
    df = pd.read_csv(____)
    X = df.drop(____); y = df["____"]
    pipe = Pipeline([("____", StandardScaler()), ("____", SVC(____))])
    scores = cross_val_score(____)
    plt.boxplot(____); plt.ylabel(____); plt.title(____)
    plt.show()
    print(____)