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

iris = load_iris() X_iris = iris.data y_iris = iris.target

X_train_iris, X_test_iris, y_train_iris, y_test_iris = train_test_split(X_iris, y_iris, test_size=0.2, random_state=42)

model_iris = KNeighborsClassifier(n_neighbors=3) model_iris.fit(X_train_iris, y_train_iris)

y_pred_iris = model_iris.predict(X_test_iris)

accuracy_iris = accuracy_score(y_test_iris, y_pred_iris) print("Точность модели для ирисов:", accuracy_iris)

digits = load_digits() X_digits = digits.data y_digits = digits.target

X_train_digits, X_test_digits, y_train_digits, y_test_digits = train_test_split(X_digits, y_digits, test_size=0.2, random_state=42)

model_digits = SVC(kernel='linear') model_digits.fit(X_train_digits, y_train_digits)

y_pred_digits = model_digits.predict(X_test_digits)

accuracy_digits = accuracy_score(y_test_digits, y_pred_digits) print("Точность модели для цифр MNIST:", accuracy_digits)