18-Mar-2024, 16:14:14
---------------------------------------------------------
Traditional ML algorithm Performance
Dataset Size = 700
c term coefficient = 0.02334133457256219
bv term coefficient = 4.623523696600106
ang term coefficient = 0.10054618043731645
***************
Training set
Set size = 420
R2 = 0.927
MAE = 0.135
RMSE = 0.174
Mean Bias Error = -0.000
Mean Absolute Percentage Error = 0.047
Error Standard Deviation = 0.174
***************
Validation set
Set size = 140
R2 = 0.935
MAE = 0.128
RMSE = 0.157
Mean Bias Error = 0.028
Mean Absolute Percentage Error = 0.045
Error Standard Deviation = 0.155
***************
Test set
Set size = 140
R2 = 0.931
MAE = 0.134
RMSE = 0.163
Mean Bias Error = 0.017
Mean Absolute Percentage Error = 0.049
Error Standard Deviation = 0.162
---------------------------------------------------------
OUTLIERS (TEST SET)
