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Python 3
Credit Card Fraud Detection Project Input and Output

Credit Card Fraud Detection Project Input and Output

Input
Output

Input

The input for this project is the creditcard.csv dataset.

Each row corresponds to a single credit card transaction and contains multiple numerical features describing that transaction.

The model learns from these transaction records to distinguish between legitimate and fraudulent activities.

Output

The output of the project is a binary classification result.

The model predicts:

0 → Genuine Transaction
1 → Fraudulent Transaction

Along with the predictions, the project also generates several evaluation metrics and visualizations that help assess model performance.

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Credit Card Fraud Detection Project Input and Output

Contents

Input

Output

Credit Card Fraud Detection for Beginners using Data Science

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