What is the difference between SMOTE and random oversampling for handling imbalanced datasets?

Question

Data Science with Python — Hard

What is the difference between SMOTE and random oversampling for handling imbalanced datasets?

Accepted Answer

SMOTE generates synthetic minority samples by interpolating between existing minority instances and their k nearest neighbors, reducing overfitting risk. Random oversampling simply duplicates existing minority class samples.