Table 5 Comparison of the classification results.
From: A hybrid deep neural network for classification of schizophrenia using EEG Data
Method | Model | FuzzyEn | FFT | ||
|---|---|---|---|---|---|
Validation accuracy (%) | Testing accuracy (%) | Validation accuracy (%) | Testing accuracy (%) | ||
Baseline methods | SVM | – | 93.01 | – | 88.97 |
KNN | – | 91.72 | – | 91.70 | |
Logistic Regression | – | 91.38 | – | 91.36 | |
Proposed methods | A < 2,0,0 > | – | 92.33 | – | 90.12 |
B < 2,2,0 > | 98.66 | 96.34 | 97.50 | 93.07 | |
C < 2,2,1 > | 99.22 | 99.22 | 98.44 | 96.34 | |
D < 4,2,1 > | 99.34 | 94.94 | 98.44 | 92.49 | |
