Aug 9, 2020 · This study conducts an empirical comparative analysis of 13 search methods (11 state-of-the-art metaheuristic search and 2 conventional search methods) in WFS ...
Aug 10, 2020 · Feature selection (FS) is a feasible solution for mitigating high dimensionality problem, and many FS methods have been proposed in the context ...
Nov 10, 2023 · This study conducts an empirical comparative analysis of 13 search methods (11 state-of-the-art metaheuristic search and 2 conventional search methods) in WFS ...
Analysis of Feature Selection Methods in Software Defect Prediction Models
ieeexplore.ieee.org › iel7
Dec 29, 2023 · Wrapper Method: The Wrapper method, also known as a closed-loop approach, encapsulates the feature selection process around the learning ...
People also ask
What is the wrapper method for feature selection?
What are the three types of feature selection methods?
What is the difference between feature selection wrapper and filter?
Which of the following is are feature selection methods?
AUC values of WFS based on NB with selected search methods. Search-Based Wrapper Feature Selection Methods in Software Defect Prediction: An Empirical Analysis.
This study proposes an enhanced WFS method that dynamically and iteratively selects features. The proposed enhanced WFS (EWFS) method is based on incrementally ...
In this paper, we investigated thirty wrapper-based feature selection methods to remove irrelevant and redundant software metrics used for building defect ...
By using a reduced number of features, the defect prediction model can concentrate on the most significant variables and improve its accuracy. This research ...
The investigation evaluates the benefits and drawbacks of intelligence-based methods for feature selection and scrutinizes the factors that impact their ...
This paper proposes a hybrid feature selection (filter–wrapper) approach based on the multi-criteria decision making (MCDM) method and the Rao optimization ...