Selected article for: "cross validation and SVM model"
Author: Alguwaizani, Saud; Park, Byungkyu; Zhou, Xiang; Huang, De-Shuang; Han, Kyungsook
Title: Predicting Interactions between Virus and Host Proteins Using Repeat Patterns and Composition of Amino Acids
  • Document date: 2018_5_9
    • ID: 0dxrai3j_21
    Snippet: We performed 10-fold cross validation of the SVM model with several datasets which contain different ratios (1 : 1, 1 : 2, and 1 : 3) of positive to negative PPIs between +ssRNA viruses and human. As shown in Table 1 , the best performance of the SVM model was observed in the balanced dataset with 1 : 1 ratio of positive to negative data. As expected, running the SVM model on unbalanced datasets resulted in lower performances than running it on t.....
    Document: We performed 10-fold cross validation of the SVM model with several datasets which contain different ratios (1 : 1, 1 : 2, and 1 : 3) of positive to negative PPIs between +ssRNA viruses and human. As shown in Table 1 , the best performance of the SVM model was observed in the balanced dataset with 1 : 1 ratio of positive to negative data. As expected, running the SVM model on unbalanced datasets resulted in lower performances than running it on the balanced dataset with 1 : 1 ratio of positive to negative data. Datasets are available in Additional file 3.

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