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Python 3
Train-Test Split

Train-Test Split

Train-Test Split

Train-Test Split

Before training a machine learning model, the dataset must be divided into two parts:

Training Dataset

Used to teach the model patterns present in historical transactions.

Testing Dataset

Used to evaluate how well the trained model performs on unseen transactions.

A common split ratio is:

80% Training Data
20% Testing Data

Separating the data prevents overfitting and provides a more reliable estimate of model performance.

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Train-Test Split

Contents

Train-Test Split

Training Dataset

Testing Dataset

Credit Card Fraud Detection for Beginners using Data Science

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