How do I split my dataset in Scikit-learn?

How do I split my dataset in Scikit-learn?

You can use the train_test_split function from sklearn.model_selection to split your dataset.

Can you show me an example of how to use it?

Sure! Here's a simple example:

from sklearn.model_selection import train_test_split
import numpy as np

# Sample data
X = np.array([[1], [2], [3], [4], [5]])
y = np.array([0, 1, 0, 1, 0])

# Split the data
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)

What do the parameters test_size and random_state do?

test_size determines the proportion of the dataset to include in the test split, while random_state ensures reproducibility by controlling the shuffling of data.