18-Mar-2024, 16:14:13
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Traditional ML algorithm Performance
Dataset Size = 700
c term coefficient = 0.02646462425594764
bv term coefficient = 4.193055120087293
ang term coefficient = 0.10226357971424319
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Training set
Set size = 420
R2 = 0.934
MAE = 0.129
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 = 0.143
RMSE = 0.185
Mean Bias Error = -0.023
Mean Absolute Percentage Error = 0.048
Error Standard Deviation = 0.183
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Test set
Set size = 140
R2 = 0.936
MAE = 0.126
RMSE = 0.156
Mean Bias Error = 0.021
Mean Absolute Percentage Error = 0.044
Error Standard Deviation = 0.155
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OUTLIERS (TEST SET)
