贝叶斯分类器

def solve():
    from sklearn.datasets import load_iris
    from sklearn.naive_bayes import GaussianNB
    from sklearn.model_selection import train_test_split
    from sklearn.metrics import accuracy_score, confusion_matrix
    import matplotlib.pyplot as plt
    import seaborn as sns
    iris = load_iris()
    X, y = iris.data, iris.target
    X_train, X_test, y_train, y_test = train_test_split(____)
    model = GaussianNB()
    model.fit(____)
    y_pred = model.predict(____)
    accuracy = accuracy_score(____)
    print(____)
    cm = confusion_matrix(____)
    plt.figure(figsize=(____, ____))
    sns.heatmap(____)
    plt.xlabel(____)
    plt.ylabel(____)
    plt.title(____)
    plt.show()