The accuracy of Baysian and Neural Network models on various datasets [11 datasets including original protein features dataset (FCdb) as well as 10 datasets generated by trimming (filtering) the original FCdb dataset by attribute weighting algorithms] computed by 10-fold cross validation.

This table presents the accuracy percentage of Baysian (Naïve Bayes and Bayse Kernel) and Neural Network models (Auto MLp and Neural Net) run on all 10 datasets.