Machine Learning, Data Science, Python, Statistics, Evaluation Metric.
identified. When to Use Recall: - High Recall is crucial when the cost of missing positive instances (false negatives) is high. This is particularly important in applications where failing to identify a positive instance can have severe consequences. - Use Recall as a metric when the goal is to