利用sklearn进行分类3：初级手写数字识别
2018-01-03 本文已影响38人
_龙雀
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from sklearn.datasets import load_digits
digits = load_digits()
#按3：1划分训练、测试集
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)
from sklearn.preprocessing import StandardScaler
from sklearn.svm import LinearSVC
from sklearn.metrics import classification_report
ss = StandardScaler()
X_train = ss.fit_transform(X_train)
X_test = ss.fit_transform(X_test)
model = LinearSVC()
model.fit(X_train,y_train)
y_predict = model.predict(X_test)
print 'Score:',model.score(X_test,y_test)
print classification_report(y_test,y_predict,target_names = digits.target_names.astype(str))
