Author: Hu, Le-Le; Chen, Chen; Huang, Tao; Cai, Yu-Dong; Chou, Kuo-Chen
Title: Predicting Biological Functions of Compounds Based on Chemical-Chemical Interactions Document date: 2011_12_29
ID: 0mn1gbll_34
Snippet: In this study, our method was evaluated by the 5-fold crossvalidation on the benchmark dataset that contains 3,137 compounds in Group-II of Table 1 . The 11-order prediction accuracies are shown in Figure 1 . The first order (most likely) prediction accuracy is 77.97%, and the last order (least likely) prediction accuracy is 0.38%, which indicates a quite good performance of our method......
Document: In this study, our method was evaluated by the 5-fold crossvalidation on the benchmark dataset that contains 3,137 compounds in Group-II of Table 1 . The 11-order prediction accuracies are shown in Figure 1 . The first order (most likely) prediction accuracy is 77.97%, and the last order (least likely) prediction accuracy is 0.38%, which indicates a quite good performance of our method.
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