Gradiant Descent Algorithm (GD) | |
The number of variables (Input Layer) | 13 |
The number of Distance Layer | 1 |
Neuron Per Distance Layer | 4 |
Transfer Function of Input Layer | Tangent Sigmoid |
Transfer Function of Distance Layer | Tangent Sigmoid |
The number of variables (Output Layer) | 1 |
Transfer Function of Output Layer | Tangent Sigmoid |
Learning Algorithm | Gradiant Descent |
MAE Training | 18.84 |
MAE Test | 143.76 |
MAE Validity | 63.22 |
MAPE Training | 0.0854 |
MAPE Test | 0.2716 |
MAPE Validity | 0.154 |
RMSE Training | 0.1068 |
RMSE Test | 0.2716 |
RMSE Validity | 0.1775 |