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Showing 1 to 3 of 3 for “"Recursive Feature Selection"”.
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Enhancing Telecom Churn Prediction: Adaboost with Oversampling and Recursive Feature Elimination Approach
… Lastly, the third set combines oversampling with recursive feature selection to enhance the model's performance further.</p> <p>The results demonstrate that the Adaptive Boost classifier, implemented with oversampling and recursive feature selection, outperforms the other 14 techniques. It …
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Management of stem rot of peanut using optical sensors, machine learning, and fungicides
… The top 10 wavelengths identified by the recursive feature selection methods performed as well as all bands for the classification of healthy peanut plants and plants at different stages of disease development. Whereas the first two objectives focused on disease detection, Objective 3 …
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Restricting Supervised Learning: Feature Selection and Feature Space Partition
… to solve either because of the redundant features or because of the structural complexity of the generative function. Redundant features increase the learning noise and therefore decrease the prediction performance. Additionally, a number of problems in various applications such as …