Machine Learning, Heartbeat.
in a medical diagnosis scenario, as it is more important to avoid false negatives (missed diagnoses) than false positives (unnecessary treatments). In the previous part of this series, we learned about some of the evaluation metrics used for classification models and in what scenarios we should use