基于python的数字识别_基于sklearn数字识别（python开发）

from sklearn import datasets

import matplotlib.pyplot as plt

digist = datasets.load_digits()

# print(digist.keys())

# print(digist.data[1],digist.target[1])

plt.figure()

plt.gray()

plt.matshow(digist.images[1])

plt.savefig('fig.png',bbox_inches='tight')

# 数据集的分类

from sklearn.model_selection import train_test_split

#random_state指定随机数种子。

print(digist.data)

X_train,X_test,Y_train,Y_test = train_test_split(digist.data,digist.target,test_size=0.2,random_state=1)

# print(X_train,X_test)

# print(X_train.shape)

from sklearn.neighbors import KNeighborsClassifier

knn_classifier = KNeighborsClassifier(n_neighbors=3)

knn_classifier.fit(X_train,Y_train)

# print(knn_classifier.predict(X_test))

# print(knn_classifier.predict(Y_test))

print(knn_classifier.score(X_test,Y_test))

本文地址：https://blog.csdn.net/yiweij/article/details/107092720

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