Fig. 5: Learning results of the RSBoost hybrid algorithm.

a The confusion matrix of training results for three classes of bacteria (S. aureus is red, E. coli is blue, and P. aeruginosa is green). b The 3-dimensional scatter plot of actual and predicted data is validated by the Monte Carlo cross-validation (MCCV) in the training set. c The ROC plot and AUC values of each class for the training set. d The confusion matrix of the blind test result for three classes of bacteria. e The 3-dimensional scatter plot of actual and predicted data is validated by the Monte Carlo cross-validation (MCCV) in the blind test set. f The ROC plot and AUC values of each class for the test set. g Comparison of classification accuracy for each model in classification learning for three types of bacteria. h Learning time comparison of each classification model for identifying three bacterial species (All bacterial classes are the same as the color legend mentioned above).