HT-based model is the most optimal based on the number of attributes and the number of associated miRNAs. The model performed the highest across multiple metrics, and it was the best to use for validation with new independent data. Figure shows that HT-based model performed better with increasing number of miRNAs included in training. The model was trained with 57 miRNAs, which includes the majority of available studies on biologically associated miRNAs. The accuracy of predictions after some threshold is inversely proportional to the number of attributes (Figure ).