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Python 3
Splitting the Dataset

Splitting the Dataset

Splitting the Dataset

Splitting the Dataset

To evaluate model performance fairly, divide the dataset into training and testing sets.

Code

X_train, X_test, Y_train, Y_test = train_test_split(

X,

Y,

test_size=0.2,

random_state=2,

stratify=Y

)

Explanation

The dataset is divided into:

80% Training Data
20% Testing Data

The stratify parameter preserves the class distribution in both datasets, which is particularly important for highly imbalanced data.

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Splitting the Dataset

Contents

Splitting the Dataset

Code

Explanation

Credit Card Fraud Detection for Beginners using Data Science

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