Imbalanced data is one of the main issue in classification problem. Why we will have imbalanced data? Let’s say if I have 100 customer who is holding credit card, may be maximum I may have 2 or 3% defaulters and remaining 95 to 97% are perfect payers (This is called presence of minority class ),Continue reading “Synthetic Minority Over-sampling Technique (SMOTE)”