An improved random forest-based computational model for predicting novel miRNA-disease associations

摘要

The prediction accuracy of RF models trained on sample sets consisting of different numbers of features. As one can see, the prediction accuracy of the RF model gradually stabilized after the top 100 features were included, and achieved a maximum of 0.876 on the training sample set consisting of the top 160 features