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Design of experiments and response surface methodology to tune machine learning hyperparameters, with a random forest case-study

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References

1996Response Surface Methodology: Process and Product Optimization Using Designed Experiments9,540 cited
2012Practical Bayesian Optimization of Machine Learning Algorithms6,690 cited
1996Response Surface Methodology: Process and Product Optimization Using Designed Experiments3,255 cited
2017Design and Analysis of Experiments2,929 cited
2007Introduction to Data Mining941 cited
2018Design and Analysis of Simulation Experiments449 cited
2015Design and Analysis of Simulation Experiments356 cited

Cited by

2022Hyperparameter Tuning of Machine Learning Algorithms Using Response Surface Methodology: A Case Study of ANN, SVM, and DBN103 cited
2023Design of experiments and machine learning with application to industrial experiments40 cited

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