18-Mar-2024, 16:14:12
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Traditional ML algorithm Performance
Dataset Size = 700
c term coefficient = 0.026333330920024475
bv term coefficient = 4.279661758467221
ang term coefficient = 0.09624917148191628
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Training set
Set size = 420
R2 = 0.932
MAE = 0.130
RMSE = 0.167
Mean Bias Error = -0.000
Mean Absolute Percentage Error = 0.046
Error Standard Deviation = 0.167
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Validation set
Set size = 140
R2 = 0.907
MAE = 0.142
RMSE = 0.185
Mean Bias Error = -0.030
Mean Absolute Percentage Error = 0.047
Error Standard Deviation = 0.183
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Test set
Set size = 140
R2 = 0.943
MAE = 0.116
RMSE = 0.154
Mean Bias Error = -0.014
Mean Absolute Percentage Error = 0.041
Error Standard Deviation = 0.153
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OUTLIERS (TEST SET)
