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tip: I changed the .env PRICE_DATA because, the paraquet files from original .en PRICE_DATA directory found 0 paraquet and it was all .csv.
shap is added to tolm file. data added to directory
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What changes are you trying to make? (e.g. Adding or removing code, refactoring existing code, adding reports)
loading dataset, analyze it, setup several feature transformer and create different pipelines, train the model and evaluate while explain the model behavior with SHAP values
What did you learn from the changes you have made?
the trade-off between model performance, resources, complexity. learnt how to analyze model and decide on best model based on the context.
Was there another approach you were thinking about making? If so, what approach(es) were you thinking of?
i tried several approach(model and pipeline selection)
Were there any challenges? If so, what issue(s) did you face? How did you overcome it?
analyzing the SHAP value specially with the best model, there was no insightful shap values. all features had 0 contribution to model prediction.
How were these changes tested?
through model evaluation and explainers.
A reference to a related issue in your repository (if applicable)
Checklist