Table 1.

Machine learning classifier n-fold cross-validation accuracy, SD, and 95% CI based on the gold standard training dataset of 4470 documents.

Classifier	Accuracy	SD	95% CI
Random forest	0.84	0.01	0.83-0.84
Decision tree	0.91	0.03	0.89-0.92
Linear support vector classifier	0.95	0.01	0.94-0.95
Support vector classifier	0.84	0.01	0.83-0.84
Multinomial Naïve Bayes	0.90	0.02	0.88-0.91
k-nearest neighbor	0.89	0.02	0.87-0.90
Logistic regression	0.88	0.04	0.85-0.90
Multilayered perception	0.94	0.02	0.92-0.95