Want to create a Graph Neural Network based recommendation engine? You first have to get intimate with its performance metrics: recall@k and precision@k. Here are a few helpful illustrations I made that help visualize what you are measuring: First, the definition of precision and recall.
- Precision: "What ratio of the top k elements that we recommended are relevant?"
- Recall: "What ratio of the existing pool of relevant items did we get right in the top k elements?"
In mathematical terms: