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- Credit Card Transactions Fraud Detection Dataset - Kaggle
Simulated Credit Card Transactions generated using Sparkov.
- Credit Card Transactions Fraud Detection Dataset - Kaggle
This work showcases on how to compare different algorithms and fine-tune them. The dataset mainly contains 492 frauds out of 284,807 transactions. It has 28 principle components, transaction time, and tranaction amount with labels, 0 being non-fraud and 1 being fraud.
Simulated Credit Card Transactions generated using Sparkov.
This repository contains the code for a Credit Card Fraud Detection project using a dataset from Kaggle, which includes 284,807 credit card transactions with only 492 frauds, is highly unbalanced.
This is the Kernel submission for the Kaggle competition "Credit Card Fraud Detection". The dataset contains 28 PCA transformed features of transactions made by credit cards in September 2013 by european cardholders.
This dataset presents transactions that occurred in two days, where we have 492 frauds out of 284,807 transactions. The dataset is highly unbalanced, the positive class (frauds) account for 0.172% of all transactions.
8 Μαΐ 2023 · The “Credit Card Fraud Detection” dataset on Kaggle is a highly imbalanced dataset that contains transactions made by credit cards in September 2013 by European cardholders. The dataset...
