Credit Scoring Prediction Using Boruta Feature Selection with Different Sampling Techniques

Mutiu Ganiyu; Olabisi Esher Johnson; Olanrewaju Victor Johnson

doi:10.1109/seb4sdg60871.2024.10630264

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JOURNAL ARTICLE

Credit Scoring Prediction Using Boruta Feature Selection with Different Sampling Techniques

Mutiu Ganiyu Olabisi Esher Johnson Olanrewaju Victor Johnson

Year: 2024 Vol: 13 Pages: 1-9

DOI: 10.1109/seb4sdg60871.2024.10630264

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Keywords:

Feature selection Selection (genetic algorithm) Computer science Sampling (signal processing) Feature (linguistics) Artificial intelligence Pattern recognition (psychology) Data mining Computer vision

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Topics

Financial Distress and Bankruptcy Prediction

Social Sciences → Business, Management and Accounting → Accounting

Stock Market Forecasting Methods

Social Sciences → Decision Sciences → Management Science and Operations Research

Imbalanced Data Classification Techniques

Physical Sciences → Computer Science → Artificial Intelligence

Credit Scoring Prediction Using Boruta Feature Selection with Different Sampling Techniques

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