18-Mar-2024, 15:55:49
---------------------------------------------------------
Traditional ML algorithm Performance
Dataset Size = 500
c term coefficient = 0.023191867786295794
bv term coefficient = 4.63714581546187
ang term coefficient = 0.09791310575706648
***************
Training set
Set size = 300
R2 = 0.932
MAE = 0.134
RMSE = 0.173
Mean Bias Error = 0.000
Mean Absolute Percentage Error = 0.048
Error Standard Deviation = 0.173
***************
Validation set
Set size = 100
R2 = 0.916
MAE = 0.135
RMSE = 0.163
Mean Bias Error = 0.011
Mean Absolute Percentage Error = 0.048
Error Standard Deviation = 0.163
***************
Test set
Set size = 100
R2 = 0.937
MAE = 0.126
RMSE = 0.158
Mean Bias Error = 0.026
Mean Absolute Percentage Error = 0.044
Error Standard Deviation = 0.156
---------------------------------------------------------
OUTLIERS (TEST SET)
