简单使用 Sklearn 机器学习手写数字 kNN 算法

import numpy as np
import matplotlib
import matplotlib.pyplot as plt
from sklearn import datasets

digits = datasets.load_digits()
digits.keys()

X = digits.data
X.shape

y = digits.target
y.shape

from sklearn.model_selection import train_test_split
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=666)

from sklearn.neighbors import KNeighborsClassifier
knn_clf = KNeighborsClassifier(n_neighbors=3)
knn_clf.fit(X_train, y_train)
y_predict = knn_clf.predict(X_test)

from sklearn.metrics import accuracy_score
accuracy_score(y_test, y_predict)
knn_clf.score(X_test, y_test)