Python Implementation of SMOGN algorithm.
SMOGN is a over and under sampling algorighm for regression data.
git clone --recursive https://github.com/convergence-lab/SMOGN.git
python test.py (MobileInteractNet) 4171ms 土 11/ 9 12:58:58 2019
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Dataset: Imbalanced-Regression-DataSets/CSV_data/Abalone.csv
RandomForrest MSE: 4.23
SMOGN RandomForrest MSE: 4.0
Relative Improvement 5.66 %
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Dataset: Imbalanced-Regression-DataSets/CSV_data/Accel.csv
RandomForrest MSE: 14.7
SMOGN RandomForrest MSE: 17.8
Relative Improvement -19.2 %
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Dataset: Imbalanced-Regression-DataSets/CSV_data/a1.csv
RandomForrest MSE: 3.69e+02
SMOGN RandomForrest MSE: 3.6e+02
Relative Improvement 2.28 %
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Dataset: Imbalanced-Regression-DataSets/CSV_data/a2.csv
RandomForrest MSE: 62.8
SMOGN RandomForrest MSE: 65.9
Relative Improvement -4.92 %
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Dataset: Imbalanced-Regression-DataSets/CSV_data/a3.csv
RandomForrest MSE: 47.5
SMOGN RandomForrest MSE: 46.5
Relative Improvement 1.97 %
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Dataset: Imbalanced-Regression-DataSets/CSV_data/a4.csv
RandomForrest MSE: 5.78
SMOGN RandomForrest MSE: 3.02
Relative Improvement 62.9 %
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Dataset: Imbalanced-Regression-DataSets/CSV_data/a6.csv
RandomForrest MSE: 1.91e+02
SMOGN RandomForrest MSE: 1.57e+02
Relative Improvement 19.3 %
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Dataset: Imbalanced-Regression-DataSets/CSV_data/a7.csv
RandomForrest MSE: 10.9
SMOGN RandomForrest MSE: 7.81
Relative Improvement 32.9 %
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Dataset: Imbalanced-Regression-DataSets/CSV_data/availPwr.csv
RandomForrest MSE: 5.24e+03
SMOGN RandomForrest MSE: 3.71e+03
Relative Improvement 34.2 %
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Dataset: Imbalanced-Regression-DataSets/CSV_data/bank8FM.csv
RandomForrest MSE: 0.00113
SMOGN RandomForrest MSE: 0.00116
Relative Improvement -1.98 %
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Dataset: Imbalanced-Regression-DataSets/CSV_data/boston.csv
RandomForrest MSE: 23.0
SMOGN RandomForrest MSE: 17.9
Relative Improvement 24.9 %
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Dataset: Imbalanced-Regression-DataSets/CSV_data/cpuSm.csv
RandomForrest MSE: 10.5
SMOGN RandomForrest MSE: 10.1
Relative Improvement 3.39 %
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Dataset: Imbalanced-Regression-DataSets/CSV_data/fuelCons.csv
RandomForrest MSE: 6.14
SMOGN RandomForrest MSE: 6.51
Relative Improvement -5.86 %
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Dataset: Imbalanced-Regression-DataSets/CSV_data/heat.csv
RandomForrest MSE: 2.31e+02
SMOGN RandomForrest MSE: 2.33e+02
Relative Improvement -0.789 %
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Dataset: Imbalanced-Regression-DataSets/CSV_data/maxTorque.csv
RandomForrest MSE: 1.48e+04
SMOGN RandomForrest MSE: 1.26e+04
Relative Improvement 15.7 %
Avg Improvemnet 11.4 %
- Branco, P., Ribeiro, R. P., Torgo, L., Krawczyk, B., & Moniz, N. (2017). SMOGN: a Pre-processing Approach for Imbalanced Regression. In Proceedings of Machine Learning Research (Vol. 74).