18-Mar-2024, 15:55:49
---------------------------------------------------------
Traditional ML algorithm Performance
Dataset Size = 500
c term coefficient = 0.022527959123983622
bv term coefficient = 4.843160554334859
ang term coefficient = 0.09446341136003276
***************
Training set
Set size = 300
R2 = 0.932
MAE = 0.136
RMSE = 0.174
Mean Bias Error = 0.000
Mean Absolute Percentage Error = 0.048
Error Standard Deviation = 0.174
***************
Validation set
Set size = 100
R2 = 0.938
MAE = 0.119
RMSE = 0.153
Mean Bias Error = 0.012
Mean Absolute Percentage Error = 0.043
Error Standard Deviation = 0.153
***************
Test set
Set size = 100
R2 = 0.915
MAE = 0.136
RMSE = 0.164
Mean Bias Error = 0.008
Mean Absolute Percentage Error = 0.049
Error Standard Deviation = 0.163
---------------------------------------------------------
OUTLIERS (TEST SET)
