This research goal is to build binary classifier model which are able to separate fraud transactions from non-fraud transactions.
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Updated
Nov 14, 2023 - HTML
This research goal is to build binary classifier model which are able to separate fraud transactions from non-fraud transactions.
Explore an ML model with Logistic Regression, SVM, Gradient Boosting, Random Forest, and Decision Tree, enhanced via Hyperparameter Tuning. Experience our GUI-based ML model with 82.49% accuracy. Try it now!
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