Quality measures of trained classifiers and comparison with publicly available prediction model [44].

Abstract

<p>Abbreviations: TP – number of true positives, FN-false negatives, FP-false positives, TN-true negatives, ACC-accuracy, PRC-precision, SPC-specificity, MCC-Matthews correlation coefficient, Kappa-Kappa statistical value, RF-Random Forest method, NB- Naïve Bayes, J48-decision tree algorithm, SMO-Sequential Minimal Optimization.</p><p>Quality measures of trained classifiers and comparison with publicly available prediction model <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0110539#pone.0110539-Piippo1" target="_blank">[44]</a>.</p