tensorflow / tensorflow/recommenders
how to evaluate a model?
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- Dominant language
- Python
- Stars
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Description
I have followed the tutorial to implement a model for my own dataset. However, I have no idea how good the performance it is.
I am turning hyperparameter.
What does it mean if I get the following result?
Top-100 accuracy (train): 0.28.
Top-100 accuracy (test): 0.09.
What does it mean if I get the following result?
Top-100 accuracy (train): 0.22.
Top-100 accuracy (test): 0.22.
I trained the model so the loss did not go down anymore. I still could not bring up the accuracy. Any suggestion what I can do?
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Research direction
The issue mentions a tutorial, a custom dataset, hyperparameter tuning, training loss, and top-100 accuracy, but names no files or tests. Start by reviewing the tutorial's evaluation guidance and the meaning of its reported metrics. The issue does not define a documentation change or a verifiable definition of done.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, tensorflow
- Domain
- machine-learning
- Issue type
- Documentation
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100