Question Classification - Results

	A	B	C	D	E	F	G
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2	Total Data : 1483	Train : 80%	Test : 20%
3	Classifier	Feature Extraction	Avg. Cross Validation Score(10 fold)	Precision	Recall	F-score	Accuracy
4	Random Forests	Bag of Words(ngrams - upto trigrams)	0.9645996672	0.4902724888	0.4616358748	0.3433465239	0.4444444444
5		Word2Vec	0.7056897091	0.799878149	0.5347340726	0.5665593847	0.7138047138
6	Linear Support Vector Classifier	Bag of Words(ngrams - upto trigrams)	0.9705044774	0.4700760116	0.392852806	0.3065167856	0.3939393939
7		Word2Vec	0.8963714586	0.893870653	0.8707297996	0.8810814244	0.9057239057
8	K-Nearest Neighbours	Bag of Words(ngrams - upto trigrams)	0.9316057718	0.382361976	0.408404892	0.3816030528	0.5723905724
9		Word2Vec	0.7361762116	0.7096015914	0.6381195855	0.6591967172	0.7407407407
10	Gaussian Naive Bayes	Bag of Words(ngrams - upto trigrams)	0.7321438331	0.6806854046	0.5639615128	0.5977935997	0.7070707071
11		Word2Vec	0.7808334558	0.7218827219	0.7464158271	0.7300181242	0.771043771
12	Logistic Regression(One vs Rest)	Bag of Words(ngrams - upto trigrams)	0.9671497765	0.5034179454	0.4802771957	0.4408461686	0.531986532
13		Word2Vec	0.8937510722	0.8677719941	0.8768151405	0.8714053754	0.8922558923
14	Neural Network	Bag of Words(ngrams - upto trigrams)	0.958766833	0.6275569358	0.5959274324	0.5960181153	0.7306397306
15		Word2Vec	0.9030518937	0.8640677888	0.8578066295	0.8604360109	0.8888888889
16	Multinomial Naive Bayes	Bag of Words(ngrams - upto trigrams)	0.9240349098	0.6755499686	0.6784595064	0.6677784454	0.7508417508
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