Research Communication | Open Access
Volume 2021 | Communication ID 240
Volume 2021 | Communication ID 240
| A feature selection algorithms in microarray data |
Hasna Chamlal, Tayeb Ouaderhman, Fatima Ezzahra Rebbah
Received |
Accepted |
Published |
January 31, 2021 |
February 15, 2021 |
March 15, 2021 |
Abstract: Even though there is a plethora of feature selection approaches, it's still one of the most challenging and important preprocessing technique in machine learning, is the process of finding the most contributed features to our prediction variable or the output in which we are interested. The selected subset of features is explored to reduce the computational complexity of learning methods and decrease the error rate as well as possible. Furthermore, these features can be pertinent to the people involved in the problem domain. Specifically, in medicine, where microarray datasets have ...