鸢尾花分类python贝叶斯代码

以下是鸢尾花分类的Python贝叶斯代码：

from sklearn.datasets import load_iris
from sklearn.naive_bayes import GaussianNB
from sklearn.model_selection import train_test_split

# 加载数据集
iris = load_iris()
X = iris.data
y = iris.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=0.3, random_state=42)

# 创建高斯朴素贝叶斯分类器
gnb = GaussianNB()

# 训练模型
gnb.fit(X_train, y_train)

# 预测测试集结果
y_pred = gnb.predict(X_test)

# 输出准确率
print("Accuracy:", gnb.score(X_test, y_test))