Resampling Methods for Unbalanced Datasets - Fraudulent Transactions

Suppose you are tasked with developing a simple machine learning algorithm, whether supervised (with a clear target variable) or unsupervised (with no predefined outcome variable). But looking at your data, it seems that one class dominates the other. In such case, your model will have a hard time learning from your data to predict future classes.  … Continue reading Resampling Methods for Unbalanced Datasets - Fraudulent Transactions