Network | Active Confusion Matrix | Performance | Time | |||||||||
Epochs | 0→0 | 0→1 | 1→0 | 1→1 | MSE | NMSE | r | %error | AIC | MDL | ||
SVM | 1000 | 100 | 0 | 0 | 100 | 0.035 | 0.066 | 0.980 | 4.8573 | 23016.76 | 39248.53 | 1'58'' |
Hybrid Networks |
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SVM GA inputs | 1000 | 100 | 0 | 0 | 100 | 0.063 | 0.121 | 0.967 | 5.6987 | 9334.31 | 16548.43 | 16 h 04'45'' |
SVM GA all layers | 500 | 100 | 0 | 0 | 100 | 1.019 | 1.949 | 0.877 | 38.1475 | 15523.37 | 25442.78 | 2 h 07'05'' |
SVM GA all layers | 1000 | 100 | 0 | 0 | 100 | 0.159 | 0.305 | 0.948 | 14.0502 | 14217.54 | 24136.95 | 2 h 50'40'' |