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[Outreachy applications] Comparing test sample classifications between models #9

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dzeber opened this issue Mar 4, 2020 · 1 comment · Fixed by #82
Closed

[Outreachy applications] Comparing test sample classifications between models #9

dzeber opened this issue Mar 4, 2020 · 1 comment · Fixed by #82

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@dzeber
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dzeber commented Mar 4, 2020

To delve further into model performance comparisons, it would be interesting to compare the classification results (ie. predicted probabilities) for individual datapoints. This would also help to understand misclassifications.

Develop a visualization to compare predicted class probabilities across models for binary classifiers. For example, this could present a histogram of the difference in predicted probabilities between the two models across all training samples. Misclassifications under either model could also be split out.

@tab1tha
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tab1tha commented Mar 17, 2020

I'm working on this.

@mlopatka mlopatka reopened this Mar 25, 2020
mlopatka pushed a commit that referenced this issue Mar 30, 2020
* For #9: Comparing classification models

* modified code and example for better understanding

* reformat compare_model_classification.py using black
@dzeber dzeber changed the title Comparing test sample classifications between models [Outreachy applications] Comparing test sample classifications between models Jul 14, 2020
@dzeber dzeber closed this as completed Jul 14, 2020
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3 participants