10000 Lack quantitative comparison for anomaly detection algorithms example · Issue #16420 · scikit-learn/scikit-learn · GitHub
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MaiRajborirug opened this issue Feb 10, 2020 · 3 comments
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Lack quantitative comparison for anomaly detection algorithms example #16420

MaiRajborirug opened this issue Feb 10, 2020 · 3 comments
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@MaiRajborirug
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Describe the issue linked to the documentation

  • The anomaly comparison example shows decision boundaries, but not other quantitative performance comparison.
  • Hard to determine which algorithm performs better, given a dataset

Suggest a potential alternative/fix

  • Include accuracy_score
  • Include ROC curves
  • Suggest the plot update in PR #16387
@MaiRajborirug MaiRajborirug changed the title Lack quantitative comparison for anomaly detection algorithms Lack quantitative comparison for anomaly detection algorithms example Feb 10, 2020
@glemaitre
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I will comment directly on the PR

@albertcthomas
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I think it would be a good thing to have an example showing how to compare anomaly detection estimators quantitatively. I made a suggestion in your PR.

@MaiRajborirug
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Thank you for the review. I will close this issue and discuss directly in PR then.

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