How can I evaluate different detection techniques?

What are some effective ways to evaluate detection techniques?

You can evaluate detection techniques by analyzing their accuracy, precision, recall, and F1 score.

How do I measure accuracy in detection techniques?

Accuracy is measured by the ratio of correctly predicted instances to the total instances. It's calculated as (TP + TN) / (TP + TN + FP + FN).

What is the importance of precision and recall?

Precision indicates the quality of positive predictions, while recall measures the ability to find all relevant instances. Both are crucial for a balanced evaluation.

Can you explain F1 score and when to use it?

The F1 score is the harmonic mean of precision and recall. It's useful when you need a balance between the two, especially in imbalanced datasets.