Rajeev Rastogi

Leveraging Uncertainty Estimates To Improve Classifier Performance

Binary classification typically involves predicting the label of an instance based on whether the model score for the positive class exceeds a threshold chosen based on the application requirements (e.g., maximizing recall for a precision bound). However, model scores are often not aligned with true…