How to calculate Precision, Recall and F-score using python?

Question

The labelTrainData.csv is used to train the classifier for predicting sentiments of Testdata.csv. Finally i got BagOfCentroids.csv.

labelTrainData.csv

id   sentiment    Tweet
1    0            tweet_1
2    1            tweet_2
3    0            tweet_3

Testdata.csv

id      Tweet
1       tweet_1
2       tweet_2
3       tweet_3

BagOfCentroids.csv

id      sentiment
1       0
2       1
3       1

To calculate above metrics, I am trying this,

print 'Sentiment precision:'

nltk.metrics.precision(BagOfCentroids['sentiment'], Testdata['sentiment'])

print 'sentiment recall:'

nltk.metrics.recall(BagOfCentroids['sentiment'], Testdata['sentiment'])

print 'sentiment F-measure:'

nltk.metrics.f_measure(BagOfCentroids['sentiment'], Testdata['sentiment'])  

Is there any way to calculate Precision, Recall and F-score?

Answer 1

this article will be helpful:

TEXT CLASSIFICATION FOR SENTIMENT ANALYSIS – PRECISION AND RECALL

Detail about nltk.metrics package

This might be because of some import issue