
import pandas as pd
import numpy as np
from sklearn.datasets import load_iris
from sklearn.model_selection import train_test_split
from sklearn.neighbors import KNeighborsClassifier
iris = load_iris()
X = iris.data
y = iris.target
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=1)
knn = KNeighborsClassifier(n_neighbors=3)
knn.fit(X_train, y_train)
print("预测结果:", knn.predict(X_test))
print("准确率:", knn.score(X_test, y_test))



