from
网页链接 import load_iris
from sklearn.model_selection import train_test_split
from
网页链接 import SVC
from
网页链接 import accuracy_score
# 加载鸢尾花数据集
iris = load_iris()
# 将数据集分为训练集和测试集
X_train, X_test, y_train, y_test = train_test_split(iris.data, iris.target, test_size=0.2, random_state=42)
# 创建SVM分类器
svm = SVC(kernel='linear', C=1, decision_function_shape='ovr')
# 训练模型
svm.fit(X_train, y_train)
# 预测测试集
y_pred = svm.predict(X_test)
# 计算模型的准确率
accuracy = accuracy_score(y_test, y_pred)
print("Accuracy:", accuracy)