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Table 7 Evaluation of the metric parameters for the seven classifiers of the continuous case testing method

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

  SVM Ensemble KNN LD Logistic regression Decision tree Naïve Bayes
TP 41 42 38 42 41 41 32
TN 31 31 30 28 25 28 24
FP 9 9 10 12 15 12 13
FN 1 0 4 0 1 1 11
Accuracy 87.80488 89.02439 82.92683 85.36585 80.4878 84.14634 70
Sensitivity 97.61905 100 90.47619 100 97.61905 97.61905 74.42
Specificity 77.5 77.5 75 70 62.5 70 64.86
PositivePre 82 82.35294 79.16667 77.77778 73.21429 77.35849 71.11
F1 89.13043 90.32258 84.44444 87.5 83.67347 86.31579 72.73
FallOut 22.5 22.5 25 30 37.5 30 35.14
MisRate 2.380952 0 9.52381 0 2.380952 2.380952 25.58