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Found 3 papers, 1 papers with code
Enhancing Wind Speed and Wind Power Forecasting Using Shape-Wise Feature Engineering: A Novel Approach for Improved Accuracy and Robustness
This noise has the potential to diminish the performance of these algorithms, leading to inaccurate predictions.
Air Quality Forecasting Using Machine Learning: A Global perspective with Relevance to Low-Resource Settings
The evaluation of several machine learning models demonstrates the effectiveness of the Random Forest algorithm in generating reliable predictions, particularly when applied to classification rather than regression, approach which enhances the model's generalizability by 42%, achieving a cross-validation score of 0. 38 for regression and 0. 89 for classification.
Enhancing Acute Kidney Injury Prediction through Integration of Drug Features in Intensive Care Units
This study addresses this gap by proposing a novel approach that leverages patient prescription data as a modality to improve existing models for AKI prediction.
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