Quality measures of trained classifiers and comparison with publicly available prediction model [44].
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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.
Quality measures of trained classifiers and comparison with publicly available prediction model [44].
创建时间：
2014-10-17
