逻辑回归分类

def solve():
    from sklearn.datasets import load_iris
    from sklearn.linear_model import LogisticRegression
    from sklearn.model_selection import train_test_split
    from sklearn.metrics import accuracy_score, classification_report
    import matplotlib.pyplot as plt
    import numpy as np
    iris = load_iris()
    X_train, X_test, y_train, y_test = train_test_split(____)
    model = LogisticRegression(____)
    model.fit(____)
    y_pred = model.predict(____)
    print(____)
    print(____)
    print(classification_report(____))