9 datasets found

The Bat Algorithm was used to select features for a binary classification problem.

The dataset used in this paper is a synthetic dataset generated for testing the proposed method. It consists of three independent parts, each with 15 dimensions, and is used to...

Result analysis of the NIPS 2003 feature selection challenge.

The (cid:96)0 ball or the (cid:96)1 ball constraints to apply to the same testing problems as the benchmark.

Feature selection for high-dimensional data is of fundamental importance for different applications across various scientific disciplines. Grouping structure among features...

Two datasets from study of toxicant-treated Atlantic cod liver are used here. One is from the study of the hepatic proteome of MeHg-exposed Atlantic cod, and the other is from...

Python has gained widespread popularity in the fields of machine learning, artificial intelligence, and data engineering due to its effectiveness and extensive libraries. R, on...

A model-free feature selection procedure for ultra-high dimensional data with mass features.

The Abalone dataset has 4177 observation 8 covariates. Sex is a nominal variable with 3 categories: Male, Female and Infant. Length (mm) is the longest shell measurement,...