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Table 5 Comparison of different classifiers for identifying σ70promoter

From: 70ProPred: a predictor for discovering sigma70 promoters based on combining multiple features

Classifier Sn (%) Sp (%) Acc (%) MCC
KNN (8) 87.04 96.21 93.04 0.8450
Naïve Bayes 91.90 89.00 90.00. 0.7891
Random Forest (200) 85.29 97.79 93.46 0.8548
Ensembles for Boosting (200) 89.88 95.29 93.41 0.8541
LibD3C 77.33 87.57 84.03 0.6478
GBDT 86.50 96.14 92.81 0.8397
SVM 93.12 96.86 95.56 0.9018