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Home Page: https://developers.thequestionmark.org/mlc-eval/
License: MIT License
Classification evaluation interface
Home Page: https://developers.thequestionmark.org/mlc-eval/
License: MIT License
To showcase (and test) the app, a dataset with hundreds of classes or more would be useful. It would be nice if label names are included. This dataset from Questionmark may be useful.
It would be useful to show accuracy per category in the category overview, and be able to sort on it.
More metrics would be even more useful, see
After #3, it would be useful to allow selection of example datasets from the user-interface, e.g. a new item in the File menu. This could even redirect to ?baseUrl=xyz
(bypassing react-router
).
To figure out why certain mis-classifications happened, it would be useful to show features of specific training items. In the Categories view there is already space in the UI at the right. In the Confusion Matrix overview this might be added later as a popup (or that could just navigate to the corresponding categories view). This could really help in improving feature extraction.
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