Fraud detection Disease screening Imbalanced Data Set means that the population of one class is extremely large than the other (Eg: Fraud – 99% and Non-Fraud – 1%) Imbalanced dataset can be handled by either oversampling, undersampling and penalized Machine Learning Algorithm.
Machine learning algorithm suits well for small data and it might take huge amount of time to train for large data. Whereas Deep learning algorithm takes less amount of data to train due to the help of GPU(Parallel Processing).