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[Enhancement] Redesign `Result` interface to fit different metrics

Open ReeveWu opened this issue 2 years ago • 4 comments

The current stage, we have added regression models. However, the user interface is hard-coded for classification model evaluation in the result section. There is a need to redesign this part to make it dynamically adjustable. If a regression model is used, it should display evaluation metrics relevant to regression models.

ReeveWu avatar Sep 09 '23 05:09 ReeveWu

Hey @ReeveWu, Do you mean that the result section should also change based on the model selection?

Screen Shot 2023-09-09 at 5 45 41 PM

1chooo avatar Sep 09 '23 09:09 1chooo

Yeah

ReeveWu avatar Sep 09 '23 09:09 ReeveWu

The current metrics of regression model are [Mae, Mse, R2 score]

ReeveWu avatar Sep 09 '23 09:09 ReeveWu

I'm currently considering dividing the model into various playgrounds so that users can choose specific ones to engage with and experience machine learning. In that case, we won't require as much if-else logic in our current playground. Additionally, we might be able to address the issue where the example didn't work.

1chooo avatar Sep 09 '23 09:09 1chooo