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Table 6 Evaluation of the metric parameters for the seven classifiers of the random case testing method

From: Automated seizure diagnosis system based on feature extraction and channel selection using EEG signals

  SVM Ensemble KNN LDA Logistic regression Decision tree Naïve Bayes
TP 39 42 37 41 40 40 11
TN 29 24 31 22 22 27 37
FP 8 13 6 15 15 10 0
FN 4 1 6 2 3 3 32
Accuracy 85 82.5 85 78.75 77.5 83.75 60
Sensitivity 90.69767 97.67442 86.04651 95.34884 93.02326 93.02326 25.58
Specificity 78.37838 64.86486 83.78378 59.45946 59.45946 72.97297 100
PositivePre 82.97872 76.36364 86.04651 73.21429 72.72727 80 100
F1 86.66667 85.71429 86.04651 82.82828 81.63265 86.02151 40.75
FallOut 21.62162 35.13514 16.21622 40.54054 40.54054 27.02703 0
MisRate 9.302326 2.325581 13.95349 4.651163 6.976744 6.976744 74.42