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tqchen 2014-05-16 20:18:34 -07:00
parent cfd6c9e3b7
commit 6c72d02205
1 changed files with 1 additions and 1 deletions
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demo/multi_classification/train.py
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@ -37,6 +37,6 @@ bst = xgb.train(param, xg_train, num_round, watchlist );
# get prediction
pred = bst.predict( xg_test );
print 'error=%f' % sum(int(pred[i]) != test_Y[i] for i in len(test_Y)) / float(len(test_Y))
print 'predicting, classification error=%f' % (sum( int(pred[i]) != test_Y[i] for i in xrange(len(test_Y))) / float(len(test_Y)) )