18-Mar-2024, 15:41:10
---------------------------------------------------------
Traditional ML algorithm Performance
Dataset Size = 200
c term coefficient = 0.025200521989314207
bv term coefficient = 5.7628459207731195
ang term coefficient = 0.06640118452941464
***************
Training set
Set size = 120
R2 = 0.925
MAE = 0.121
RMSE = 0.159
Mean Bias Error = 0.000
Mean Absolute Percentage Error = 0.041
Error Standard Deviation = 0.159
***************
Validation set
Set size = 40
R2 = 0.810
MAE = 0.155
RMSE = 0.207
Mean Bias Error = -0.072
Mean Absolute Percentage Error = 0.050
Error Standard Deviation = 0.194
***************
Test set
Set size = 40
R2 = 0.901
MAE = 0.158
RMSE = 0.221
Mean Bias Error = -0.039
Mean Absolute Percentage Error = 0.080
Error Standard Deviation = 0.218
---------------------------------------------------------
OUTLIERS (TEST SET)
