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Welcome to HCL GUVI

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Hone your bug-fixing skills with real-world debugging challenges in Python, C++, JavaScript, and Golang. More languages coming soon!

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Python 3
Confusion Matrix

Confusion Matrix

Confusion Matrix

Confusion Matrix

A Confusion Matrix summarizes the classification results by comparing predicted values with actual values.

It contains four outcomes:

Prediction	Actual Result
True Positive (TP)	Fraud correctly identified
True Negative (TN)	Genuine transaction correctly identified
False Positive (FP)	Genuine transaction incorrectly flagged as fraud
False Negative (FN)	Fraudulent transaction incorrectly classified as genuine

The confusion matrix helps identify where the model makes mistakes and provides valuable insights for model improvement.

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Confusion Matrix

Contents

Confusion Matrix

Credit Card Fraud Detection for Beginners using Data Science

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