Hybrid Methodology

Hybrid Methodology

The process of creating hybrid feature selection methods depends on what you choose to combine. The main priority is to select the methods you’re going to use, then follow their processes. The idea here is to use these ranking methods to generate a feature ranking list in the first step, then use the top k features from this list to perform wrapper methods. With that, we can reduce the feature space of our dataset using these filter-based rangers in order to improve the time complexity of the wrapper methods.