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[Outreachy applications] Comparing test sample classifications between models #9
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Comparing test sample classifications between models
[Outreachy applications] Comparing test sample classifications between models
Jul 14, 2020
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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.
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