Research Communication | Open Access
Volume 2021 | Communication ID 218
Volume 2021 | Communication ID 218
| Feature selection in statistical learning |
Tayeb Ouaderhman, Hasna Chamlal, Fatima Zahra Janane
Received |
Accepted |
Published |
January 31, 2021 |
February 15, 2021 |
March 15, 2021 |
Abstract: Classification of high-dimensional data is a challenge for researchers, large data can contain a high degree of irrelevant and redundant information which can dramatically degrade the performance of the classification model and may lead to poor classification accuracy due to its large number of features and small sample sizes. Therefore, Feature selection becomes very necessary in this field. Due to the time and memory burden for processing the high-dimensional data, a large number of feature selection methods have been used to try to reduce the number of features while improving ...