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Table 1 Performance metrics of Linear SVM classi er assessed by standard 10-fold cross validation, leave-one-outbreak-out validation and random undersampling methods

From: Analysis of heterogeneous genomic samples using image normalization and machine learning

Sampling Methods Accuracy Precision-Chronic Precision-Recent Recall-Chronic Recall-Recent AUC
Standard 10-fold cross-validation 97.545% 98.105% 96.515% 98.446% 95.364% 96.905%
Leave-one-outbreak-out 96.075% 97.004% 91.0% 98.446% 83.5% 90.973%
Random undersampling 95.164% 96.328% 94.661% 94.155% 96.173% 95.164%