Figure 7.

A screenshot demonstrating the result page of iLearnPlus for lncRNA prediction using the iLearnPlus web server. The result page includes the summary of basic information (A), including the input sequence type, number of sequences used for training and test, respectively, and the selected feature descriptor type, the generated features and feature analysis result (B), the selected machine-learning algorithm and the evaluation metrics listed for each fold and independent test (C), the ROC and PRC for demonstrating the prediction performance (D) and the hyperlink for downloading all the generated files including the generated feature encoding files, feature analysis result and plots, evaluation metrics matrix file, prediction scores, ROC and PRC curves, and the constructed models (E). The category ‘0’ refers to mRNA sequences, while the category ‘1’ denotes the lncRNA sequences.