18-Mar-2024, 16:29:25
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Traditional ML algorithm Performance
Dataset Size = 800
c term coefficient = 0.024004428926045738
bv term coefficient = 4.633811269421425
ang term coefficient = 0.0937079986181145
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Training set
Set size = 480
R2 = 0.925
MAE = 0.134
RMSE = 0.172
Mean Bias Error = 0.000
Mean Absolute Percentage Error = 0.047
Error Standard Deviation = 0.172
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Validation set
Set size = 160
R2 = 0.940
MAE = 0.120
RMSE = 0.154
Mean Bias Error = -0.004
Mean Absolute Percentage Error = 0.043
Error Standard Deviation = 0.154
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Test set
Set size = 160
R2 = 0.933
MAE = 0.131
RMSE = 0.160
Mean Bias Error = 0.004
Mean Absolute Percentage Error = 0.047
Error Standard Deviation = 0.160
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OUTLIERS (TEST SET)
