from sklearn.datasets import load_digits
from sklearn.cross_validation import  train_test_split
from sklearn.preprocessing import StandardScaler
from sklearn.svm import LinearSVC
from sklearn.svm import SVC
from sklearn.metrics import classification_report

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

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

#lsvc=SVC(kernel="linear",decision_function_shape='ovo')
lsvc=LinearSVC()
lsvc.fit(X_train,y_train)
y_predict=lsvc.predict(X_test)

print(lsvc.score(X_test,y_test))

print(classification_report(y_test,y_predict))