18-Mar-2024, 15:41:11
---------------------------------------------------------
Traditional ML algorithm Performance
Dataset Size = 200
c term coefficient = 0.026965373870022506
bv term coefficient = 4.299788912838277
ang term coefficient = 0.09460387121806801
***************
Training set
Set size = 120
R2 = 0.939
MAE = 0.125
RMSE = 0.163
Mean Bias Error = -0.000
Mean Absolute Percentage Error = 0.046
Error Standard Deviation = 0.163
***************
Validation set
Set size = 40
R2 = 0.818
MAE = 0.148
RMSE = 0.203
Mean Bias Error = -0.075
Mean Absolute Percentage Error = 0.048
Error Standard Deviation = 0.188
***************
Test set
Set size = 40
R2 = 0.878
MAE = 0.124
RMSE = 0.160
Mean Bias Error = -0.008
Mean Absolute Percentage Error = 0.042
Error Standard Deviation = 0.160
---------------------------------------------------------
OUTLIERS (TEST SET)
