Two baseline classifiers in Natural Language Processing

Load TrainSet: 1181/3000 positive/negative samples.

Vocabulary: 6666 items.

Vocabulary (stem): 5106 items.

Load TestSet: 1182/3000 positive/negative samples.

Naive Bayes Classifier

	noStem	Stem
freq	89.43%	90.20%
bin	89.41%	89.93%
tfidf	88.47%	87.97%

Logistic Regression

parameters: learning rate = 0.10, iternum = 30000

Without regularization:

	noStem	Stem
freq	90.00%	89.89%
bin	89.69%	90.03%
tfidf	90.17%	90.15%

With L2 regularization:

	noStem	Stem
freq	90.05%	90.27%
bin	89.50%	89.91%
tfidf	90.17%	89.43%

Thanks