How do I use SMOTE in Python?

How do I use SMOTE in Python?

You can use the imbalanced-learn library to implement SMOTE in Python. First, install it using pip.

What is SMOTE and why would I use it?

SMOTE stands for Synthetic Minority Over-sampling Technique. It's used to balance imbalanced datasets by generating synthetic samples.

Can you show me a code example?

Sure! Here's a simple example:

from imblearn.over_sampling import SMOTE

# Assuming X_train and y_train are your features and labels
smote = SMOTE()
X_resampled, y_resampled = smote.fit_resample(X_train, y_train)

Are there any parameters I should be aware of?

Yes, you can adjust parameters like sampling_strategy to control the ratio of classes, and k_neighbors to set the number of nearest neighbors.