Parkinson’s Disease Prediction using Fisher Score based Recursive Feature Elimination

ML-CKDP: Machine learning-based chronic kidney disease prediction with smart web application

“…While effective, wrapper methods can be computationally expensive due to repeated model training. 20 , 21 , 22 , 23 Embedded methods seamlessly integrate feature selection into the model training process, selecting features based on their relevance to model performance. Techniques like Lasso regression and decision trees employ embedded feature selection, offering computational efficiency well-suited for larger datasets.…”