COMPARISON OF PERFORMANCE OF DIFFERENT K VALUES WITH K-FOLD CROSS VALIDATION IN A GRAPH-BASED LEARNING MODEL FOR IncRNA-DISEASE PREDICTION

In machine learning, the k value in k-fold cross-validation method significantly affects performance of created model. studies that have been done, is usually taken as five or ten because these two values are thought to produce average estimates. However, there no official rule. It has observed few carried out use different training models. this study, a evaluation was performed on IncRNA-disease model using various (2, 3, 4, 5, 6, 7, 8, 9, and 10) datasets. The obtained results were compared most suitable for determined. future studies, it aimed carry more comprehensive study by increasing number data sets.