18-Mar-2024, 15:38:26
---------------------------------------------------------
Traditional ML algorithm Performance
Dataset Size = 100
c term coefficient = 0.024198601587244933
bv term coefficient = 4.762172758633347
ang term coefficient = 0.07953382928349181
***************
Training set
Set size = 60
R2 = 0.892
MAE = 0.125
RMSE = 0.170
Mean Bias Error = 0.000
Mean Absolute Percentage Error = 0.044
Error Standard Deviation = 0.170
***************
Validation set
Set size = 20
R2 = 0.889
MAE = 0.109
RMSE = 0.144
Mean Bias Error = 0.032
Mean Absolute Percentage Error = 0.038
Error Standard Deviation = 0.140
***************
Test set
Set size = 20
R2 = 0.889
MAE = 0.146
RMSE = 0.183
Mean Bias Error = 0.001
Mean Absolute Percentage Error = 0.047
Error Standard Deviation = 0.183
---------------------------------------------------------
OUTLIERS (TEST SET)
