In the experiment, the ME-FSFOA algorithm is compared with the Feature Selection using Forest Optimization Algorithm (FSFOA) with the same experimental parameters. At the same time, some excellent ...

The feature selection and classification of cancer using microarray gene expression ... One is the Fish Swarm Optimization algorithm along with both Support Vector Machine and Random Forest technique ...

In this project, I decided to take the approach in using ... Algorithm to perform feature selection. I used the telco customer churn data from IBM Sample Data Sets. I started off creating a simple ML ...

This paper proposes a Random Forest grid fault prediction model based on Genetic Algorithm optimization (GA-RF ... first subjected to data cleaning, followed by feature selection of the cleaned data ...

In this study, flower traits were quantified using an ... of these eight algorithms were comprehensively compared, and the model with the best performance was selected as the basis for subsequent ...