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Table 6 Individual nine-point schema data are subjected through learning algorithms and scoring metrics are derived, averaged and tabulated. Values are compared with the six-point performance metrics

From: A model to predict the function of hypothetical proteins through a nine-point classification scoring schema

Algorithm Sensitivity/ Recall (%) Specificity (%) Precision (%) F1 Score (%) MCC (%)
Six point Nine point Six point Nine point Six point Nine point Six point Nine point Six point Nine point
Decision Tree (j48) 37 38 90 93 17 85 23 41 16 54
SVM (functions_smo_npolyk) 36 37 89 93 16 57 22 41 15 36
Neural networks(functions_mlp) 36 38 89 92 16 80 22 43 15 53
Naïve Bayes (Bayes_Naïve BayesUpdateable) 37 37 89 93 16 81 22 40 17 53