Table 2.

Classifiers term frequency (TF) versus term frequency-inverse document frequency (TF-IDF) accuracy, sensitivity, specificity, and F-score using 10-splits Monte Carlo cross-validation at 0.99 sparsity.

Classifier	TF				TF-IDF
	Accuracy	Sensitivity	Specificity	F-score	Accuracy	Sensitivity	Specificity	F-score
SLDA	0.76	0.72	0.80	0.76	0.74	0.66	0.83	0.74
SVM	0.79	0.71	0.86	0.78	0.75	0.67	0.82	0.74
Glmnet	0.76	0.71	0.81	0.75	0.76	0.64	0.86	0.73
Max entropy	0.77	0.71	0.83	0.76	0.77	0.69	0.84	0.76
Boosting	0.70	0.85	0.55	0.67	0.73	0.82	0.64	0.72
Random forests	0.80	0.74	0.87	0.80	0.82	0.76	0.87	0.81