机器学习基础-作业

from sklearn.naive_bayes import _____________

from sklearn.model_selection import train_test_split

from sklearn.datasets import load_iris

# 加载iris数据集

data = load_iris()

X = data.data

y = data.target

# 划分训练集和测试集

X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42, stratify=y)

# 创建朴素贝叶斯模型

nb_model = _______________

# 训练模型

nb_model.__________(X_train, y_train)

# 测试

nb_model.predict(X_test)