Response surface-driven hyperparameter optimization for XGBoost
This work uses the response surface methodology (RSM) to determine the hyperparameters with which the XGBoost should work to improve its specificity in classifying patients with breast cancer. The algorithm was compared against two other machine learning algorithms, and its results were the worst co...
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| Other Authors: | , , , , , |
| Format: | article |
| Published: |
2025
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| Online Access: | http://hdl.handle.net/11675/14457 https: |
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