from sklearn.model_selection import train_test_split
from sklearn.svm import SVC
from sklearn.datasets import load_iris
from sklearn.metrics import accuracy_score

def iris_classification():
    iris = load_iris()
    X = iris.data
    y = iris.target
    X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=1)
    model = SVC(kernel='linear')
    model.fit(X_train, y_train)
    y_pred = model.predict(X_test)
    print("🌸 鸢尾花分类")
    print("Accuracy:", accuracy_score(y_test, y_pred))