p ython鸢尾花分类

你想让我帮你实现Python鸢尾花分类吗？如果是的话，我可以为你提供一个简单的Python代码示例：

from sklearn.datasets import load_iris
from sklearn.model_selection import train_test_split
from sklearn.tree import DecisionTreeClassifier
from sklearn.metrics import accuracy_score

# 加载鸢尾花数据集
iris = load_iris()
X = iris.data
y = iris.target

# 划分数据集
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)

# 训练决策树模型
clf = DecisionTreeClassifier(random_state=42)
clf.fit(X_train, y_train)

# 预测
y_pred = clf.predict(X_test)

# 计算准确率
accuracy = accuracy_score(y_test, y_pred)
print("Accuracy:", accuracy)

这段代码使用了sklearn库中的决策树分类器对鸢尾花数据集进行分类，并计算了准确率。希望对你有所帮助！