Регистрация | Вход
from sklearn.datasets import load_irisfrom sklearn.model_selection import train_test_splitfrom sklearn.neighbors import KNeighborsClassifieriris_dataset = load_iris()X_train, X_test, y_train, y_test = train_test_split(iris_dataset['data'], iris_dataset['target'], random_state=0)knn = KNeighborsClassifier(n_neighbors=1)knn.fit(X_train, y_train)y_pred = knn.predict(X_test)print("Accuracy: {:.2f}".format(knn.score(X_test, y_test)))