Treffer: Feature Selection Tutorial with Python Examples

Title:
Feature Selection Tutorial with Python Examples
Authors:
Cunningham, Padraig, Kathirgamanathan, Bahavathy, Delany, Sarah Jane
Publisher Information:
2021-06-11
Document Type:
E-Ressource Electronic Resource
Index Terms:
Computer Science - Machine Learning, text
URL:
http://arxiv.org/abs/2106.06437
Availability:
Open access content. Open access content
Other Numbers:
COO oai:arXiv.org:2106.06437
1269557508
Contributing Source:
CORNELL UNIV
From OAIster®, provided by the OCLC Cooperative.
Accession Number:
edsoai.on1269557508
Database:
OAIster

Weitere Informationen

In Machine Learning, feature selection entails selecting a subset of the available features in a dataset to use for model development. There are many motivations for feature selection, it may result in better models, it may provide insight into the data and it may deliver economies in data gathering or data processing. For these reasons feature selection has received a lot of attention in data analytics research. In this paper we provide an overview of the main methods and present practical examples with Python implementations. While the main focus is on supervised feature selection techniques, we also cover some feature transformation methods.
Comment: 20 pages, 19 figures