Questions tagged [recall]

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Is it possible that Precision and Recall increase together?

Usually, it is said in ML that there is a trade-off between Precision and Recall. I wonder if it is possible that Precision and Recall can increase together?
DSPinfinity's user avatar
1 vote
1 answer

High precision and low recall results. What does it mean?

I am working on a classification algorithm for brain rhythms. However, when I implemented the metrics for precision, accuracy, F1 score and recall. My results show that my algorithm has a high ...
GGChe's user avatar
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-1 votes
1 answer

Equations for computing true positives and false positives when using object detection algorithms?

I am running some evaluation metrics using the YOLOv5 object detection algorithm, and wish to calculate my true positives and false positives. For instance, the evaluation metric outputs are as ...
ihb's user avatar
  • 129
1 vote
2 answers

What is meant by a "relevant document" in NLP?

In natural language processing, I came across the concept of "relevant document" several times. And several analytical formulas, such as precision, recall are based on the relevant documents....
hanugm's user avatar
  • 3,782
1 vote
1 answer

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

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 ...
Nilani Algiriyage's user avatar
1 vote
1 answer

How to calculate the precision and recall given the predictions and targets in this case?

I'm using three pre-trained deep learning models to detect vehicles and count from an image data set. The vehicles belong to one of these classes ['car', 'truck', 'motorcycle', 'bus']. So, for a ...
Nilani Algiriyage's user avatar