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Evaluation of Feature Selectio-1 by Jess Nguyen is a document available to read on EtoBox.
What is Evaluation of Feature Selectio-1 about?
This study evaluates feature selection methods, specifically Information Gain (IG) and Gain Ratio (GR), for improving classification accuracy in bank marketing using a Naïve Bayes algorithm. The research utilizes a dataset with 20 features and 4,119 instances, demonstrating that selecting relevant features significantly impacts classification performance. Results indicate that accuracy improves notably when using eight or more selected features.
- Author
- Jess Nguyen
- Language
- EN