模型比较

def solve():
    from sklearn.datasets import load_iris
    from sklearn.linear_model import LogisticRegression
    from sklearn.tree import DecisionTreeClassifier
    from sklearn.ensemble import RandomForestClassifier
    from sklearn.svm import SVC
    from sklearn.preprocessing import StandardScaler
    from sklearn.model_selection import cross_val_score
    import numpy as np
    iris = load_iris()
    X = iris.data
    y = iris.target
    scaler = StandardScaler()
    X_s = scaler.fit_transform(____)
    models = [LogisticRegression(____),
              DecisionTreeClassifier(____),
              RandomForestClassifier(____),
              SVC(____)]
    scores = [cross_val_score(____).mean() for m in models]
    best_idx = np.argmax(____)
    print(____)