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Python 3
Exploring Class Distribution

Exploring Class Distribution

Exploring Class Distribution

Exploring Class Distribution

One of the most important steps in fraud detection is understanding how transactions are distributed.

Code

credit_card_data['Class'].value_counts()

Explanation

This output shows the number of:

Genuine transactions (Class = 0)
Fraudulent transactions (Class = 1)

The results clearly demonstrate that fraudulent transactions represent only a very small percentage of the dataset.

Understanding this imbalance is essential before building the classification model.

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Exploring Class Distribution

Contents

Exploring Class Distribution

Code

Explanation

Credit Card Fraud Detection for Beginners using Data Science

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