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Home
Python 3
Splitting the Dataset

Splitting the Dataset

Splitting the Dataset
Split the Dataset
Check the Shapes

Splitting the Dataset

To evaluate how well the model performs on unseen data, we divide the dataset into two parts:

Training Set: Used to train the model.
Testing Set: Used to evaluate the model.

A common split is:

80% Training
20% Testing

Split the Dataset

from sklearn.model_selection import train_test_split
X_train, X_test, y_train, y_test = train_test_split(
X,
y,
test_size=0.2,
random_state=42
)

Explanation

test_size=0.2 reserves 20% of the data for testing.
random_state=42 ensures reproducible results.

Check the Shapes

print("Training Features:", X_train.shape)
print("Testing Features:", X_test.shape)
print("Training Labels:", y_train.shape)
print("Testing Labels:", y_test.shape)

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Splitting the Dataset

Contents

Splitting the Dataset

Split the Dataset

Explanation

Check the Shapes

Fake Review Detection System using Machine Learning

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