#手寫體資料讀取
from sklearn.datasets import load_digits

digits=load_digits()
print(digits.data.shape)


#手寫體資料分割
from sklearn.cross_validation import train_test_split

X_train, X_test, y_train, y_test=train_test_split(digits.data, digits.target,
test_size=0.25, random_state=33)
print(y_train.shape)
print(y_test.shape)


#使用支援向量機進行識別
from sklearn.preprocessing import StandardScaler
from sklearn.svm import LinearSVC

ss=StandardScaler()
X_train=ss.fit_transform(X_train)
X_test=ss.transform(X_test)

lsvc=LinearSVC()
lsvc.fit(X_train, y_train)
y_predict=lsvc.predict(X_test)


#支援向量機模型的評估
print('The Accuracy of Linear SVC is', lsvc.score(X_test, y_test))

from sklearn.metrics import classification_report
print(classification_report(y_test, y_predict, target_names=digits.target_names.astype(str)))