Which evaluation metric is most useful for a model predicting rare events?
Practice Questions
Q1
Which evaluation metric is most useful for a model predicting rare events?
Accuracy
Recall
Precision
F1 Score
Questions & Step-by-Step Solutions
Which evaluation metric is most useful for a model predicting rare events?
Step 1: Understand what a rare event is. A rare event is something that happens infrequently, like a disease diagnosis or fraud detection.
Step 2: Learn about evaluation metrics. These are ways to measure how well a model is performing.
Step 3: Identify common evaluation metrics. Some common ones are accuracy, precision, recall, and F1 score.
Step 4: Focus on recall. Recall measures how many actual positive cases (rare events) the model correctly identifies.
Step 5: Recognize the importance of recall for rare events. Since rare events are few, we want to ensure we catch as many of them as possible, even if it means having some false positives.
