A Paradigm for Potential Model Performance Improvement in Classification and Regression Problems A Proof of Concept
<|reference_start|>A Paradigm for Potential Model Performance Improvement in Classification and Regression Problems A Proof of Concept: A methodology that seeks to enhance model prediction performance is presented. The method involves generating multiple auxiliary models that capture relationships between attributes as a function of each other. Such information serves to generate additional informative columns in the dataset that can potentially enhance target prediction. A proof of case and related code is provided.<|reference_end|>
@article{lobo-cabrera2024a,
    title={A Paradigm for Potential Model Performance Improvement in Classification
  and Regression Problems. A Proof of Concept},
    author={Francisco Javier Lobo-Cabrera},
    journal={arXiv preprint arXiv:2402.02354},
    year={2024},
    archivePrefix={arXiv},
    eprint={2402.02354},
    primaryClass={cs.LG}
}