Feature selection is a key step to improve classification performance. Feature selection methods are divided into three types: filters, wrappers and ...

According to the feature curve, some features with the best classification ability for each subclass problem are calculated. Some of the most capable features, ...

This paper introduces a new feature selection method based on feature curve of subclass problem (Information Gain Regression Curve Feature Selection, ...

The solution was provided by developing an expert system to predict the self-care problems based on SVM. The solution was given by researchers using machine ...

This paper introduces a new feature selection method based on feature curve of subclass problem (Information Gain Regression Curve Feature Selection, ...

Aug 1, 2023 · Learn about feature selection methods: understand their importance, explore various approaches, and learn how to choose the right one.

Jun 26, 2021 · This blog describes an interesting feature selection technique which is Feature Selection based on Mutual information(Entropy) Gain which can be performed on ...

Feature selection, also known as variable or descriptor selection, is the process of finding a subset of features to use with a given task and learner.

Feature selection is to identify a subset from the original feature set of data, which will improve the quality of the data. Therefore, feature selection ...

Among the many competent approaches, feature selection is well suited for suppressing the class imbalance problem. In this paper four continuous feature ...