how to write the result of classifier into a file using python -reg

[Madhusudhanan Sambath]

hi,

I am new to python. i need to write the result of classifier into a file for future use. how to code it in python.

this code i get it from textprocessing ,http://streamhacker.com/

for i, (feats, label) in enumerate(testfeats):

                refsets[label].add(i)

                observed = classifier.classify(feats)

                testsets[observed].add(i)

 

        accuracy = nltk.classify.util.accuracy(classifier, testfeats)

        pos_precision = nltk.metrics.precision(refsets['pos'], testsets['pos'])

        pos_recall = nltk.metrics.recall(refsets['pos'], testsets['pos'])

        pos_fmeasure = nltk.metrics.f_measure(refsets['pos'], testsets['pos'])

        neg_precision = nltk.metrics.precision(refsets['neg'], testsets['neg'])

        neg_recall = nltk.metrics.recall(refsets['neg'], testsets['neg'])

        neg_fmeasure =  nltk.metrics.f_measure(refsets['neg'], testsets['neg'])

        

        print ''

        print '---------------------------------------'

        print 'SINGLE FOLD RESULT ' + '(' + classifierName + ')'

        print '---------------------------------------'

        print 'accuracy:', accuracy

        print 'precision', (pos_precision + neg_precision) / 2

        print 'recall', (pos_recall + neg_recall) / 2

        print 'f-measure', (pos_fmeasure + neg_fmeasure) / 2   

Thanks and regards

S.Madhusudhanan,