Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
612-822-4611

  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Handling unbalanced classes using assembly methods

Handling unbalanced classes using assembly methods

Tshianyi Wa Tshianyi, Fiston

Paperback

General Computers

ISBN10: 6207866401
ISBN13: 9786207866403
Publisher: Our Knowledge Publishing
Published: Jul 24 2024
Pages: 68
Weight: 0.25
Height: 0.16 Width: 6.00 Depth: 9.00
Language: English
The present work concerns decision optimization using ensemblistic methods for processing unbalanced databases. To achieve this, we used ensemblistic methods, which are based on the homogeneous combination of predictions or classifiers for better generalization.In our project, we used the Credit Card Fraud Detection database to generate and evaluate the proposed model. We also chose the random forest combination method, which combines several decision trees and applies the majority voting strategy to generate an optimal prediction.The aim of our study is to build a prediction model using assembly methods to improve the performance of an individual classifier in dealing with unbalanced datasets.To achieve our goal, apart from the random forest combination method used, we also used the subsampling and oversampling methods to achieve the same results and finally draw a conclusion on the three methods used and this we implemented with the phyton programming language.

Also from

Tshianyi Wa Tshianyi, Fiston

View All

Also in

General Computers

View All