Comparative Analysis of Credit Card Fraud Detection using Logistic regression with Random Forest towards an Increase in Accuracy of Prediction

Research article (2022 International Conference on Edge Computing and Applications (ICECAA), 2022) · cited 14× · AI/ML
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Comparative Analysis of Credit Card Fraud Detection using Logistic regression with Random Forest towards an Increase in Accuracy of Prediction

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Comparative Analysis of Credit Card Fraud Detection using Logistic regression with Random Forest towards an Increase in Accuracy of Prediction is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Comparative Analysis of Credit Card Fraud Detection using Logistic regression with Random Forest towards an Increase in Accuracy of Prediction. Retrieved May 24, 2026, from https://4ort.xyz/entity/comparative-analysis-of-credit-card-fraud-detection-using-logistic-regression-with-random-forest-towards-an-increase-in-
MLA “Comparative Analysis of Credit Card Fraud Detection using Logistic regression with Random Forest towards an Increase in Accuracy of Prediction.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/comparative-analysis-of-credit-card-fraud-detection-using-logistic-regression-with-random-forest-towards-an-increase-in-.
BibTeX @misc{4ortxyz_comparative-analysis-of-credit-card-fraud-detection-using-logistic-regression-with-random-forest-towards-an-increase-in-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Comparative Analysis of Credit Card Fraud Detection using Logistic regression with Random Forest towards an Increase in Accuracy of Prediction}}, year = {2026}, url = {https://4ort.xyz/entity/comparative-analysis-of-credit-card-fraud-detection-using-logistic-regression-with-random-forest-towards-an-increase-in-}, note = {Accessed: 2026-05-24}}
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