The "Optimized stacked ensembles technique in the prediction of cervical cancer " explores a new way to predict cervical cancer. They combine different models to improve accuracy, and they use a method called "feature selection" to choose the most important factors. The study achieves promising results by optimizing features and using an approach that helps explain how the model works.
The "Optimized stacked ensembles technique in the prediction of cervical cancer " explores a new way to predict cervical cancer. They combine different models to improve accuracy, and they use a method called "feature selection" to choose the most important factors. The study achieves promising results by optimizing features and using an approach that helps explain how the model works.