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849天前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)) |
