Given the precision and recall of this model, what can I say about it?

Question

The following table shows the precision and recall values I obtained for three object detection models.

The goal is to find the best object detection model for that particular data set.

I evaluate the first two models as the following.

• Model 1 has a high recall and precision values. High precision relates to a low false-positive rate, and high recall relates to a low false-negative rate. High scores for both show that the model is returning accurate results.

• Model 2 has high precision but low recall. This means it returns very few results, but most of its identified objects are correct.

How can I evaluate the third one?

Answer 1

The second model has the same precision, but worse recall, than model 1. Therefore we would rather have model 1 than model 2.

The third model has worse recall than model 1, and worse precision than model 1, therefore we would rather have model 1 than model 3.

Thus, model 1 is the best object detection model.