Undersampling is a technique that balances the data by reducing the size of the majority class to the same size as the minority class.

Unstandardized regression coefficient is a measure used in linear regression to quantify the relationship between a predictor and the target variable in its original units of measurement.

A machine learning approach for unstructured data, in which a model is trained from unlabeled data without a specificc target variable.

Understanding-Sampling-Exploring-Learning-Evaluating-Infering