A novel riboswitch classification based on imbalanced sequences achieved by machine learning
Table 1
Accuracy, sensitivity, specificity and F-score.
This parameters were used for Naïve Bayes(NB), Multilayer Perceptron(MLP), Random Forest(RF), Gradient Boosting(GB), Support Vector Machine(SVM) and K-Nearest Neighbors(KNN) algorithms evaluation when applied on the imbalanced sequences. The color trend of F-score from blue to red indicates performance from the best to the poorest. Accuracy, sensitivity, specificity, and F-score are represented in the table as Acc, Sen, Spec, and F-sco, respectively.