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Accuracy at predicting the specific frequency classes for single drugs

DG Diego Galeano
SL Shantao Li
MG Mark Gerstein
AP Alberto Paccanaro
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When evaluating the performance of our method on single drugs, we removed only associations for one drug at a time, using the following procedure: (a) we placed the associations that were removed in a test set and then set the corresponding entries in the matrix R used for training to zero; (b) we trained our method with all the remaining associations in the training matrix R, with parameters k = 10 and α = 0.05, and (c) we stored the predicted frequency class. Steps (a)–(c) were repeated for each drug.

The mean accuracy of our model at predicting the frequency classes for single drugs was then calculated by the ratio of the number of correct predicted associations and the total number of associations. The accuracy for the exact or neighbouring classes was calculated similarly.

Copyright and License information: The Author(s) ©2020
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