19-Mar-2024, 11:22:47
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Traditional ML algorithm Performance
Dataset Size = 217
c term coefficient = 0.012092196161608188
bv term coefficient = -0.5348100920571197
ang term coefficient = 0.1417680421704196
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Training set
Set size = 129
R2 = 0.819
MAE = 0.079
RMSE = 0.119
Mean Bias Error = 0.000
Mean Absolute Percentage Error = 0.033
Error Standard Deviation = 0.119
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Validation set
Set size = 44
R2 = 0.754
MAE = 0.123
RMSE = 0.192
Mean Bias Error = 0.060
Mean Absolute Percentage Error = 0.048
Error Standard Deviation = 0.183
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Test set
Set size = 44
R2 = 0.641
MAE = 0.078
RMSE = 0.110
Mean Bias Error = 0.020
Mean Absolute Percentage Error = 0.036
Error Standard Deviation = 0.108
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OUTLIERS (TEST SET)
