10-fold Cross Validation Performance of DisPredict (Default Parameter).
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Wsize indicates the size of sliding window.
Best values of each metric are marked in bold for each dataset separately.
1 Ncorrect is reported with total number of residues (Residuetotal) to be predicted in parentheses. Both of the counts correspond to one subset (fold) of the full dataset which is generated for performing cross validation.
2 For AUC, the values within bracket indicate 95% confidence interval with 2000 stratified bootstrap replicas.
As the window size continues to increase, the rate of increase in scores becomes slow. Increase of scores is ≤ 0.001, as the windows size grows from 23 to 25 for SL477 dataset and ≤ 0.004 for MxD444 dataset, respectively.
10-fold Cross Validation Performance of DisPredict (Default Parameter).
创建时间：
2015-10-30
