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  • Classification problem in statistical learning

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Relation

Evaluation Metrics of Classification Models

  1. Confusion Matrix
  2. Accuracy, Recall, Precision
  3. F1 Score
  4. Receiving Operating Characteristics(ROC),Area under the Curve(AUC)
  5. Log Loss

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Updated 2021-04-02

Contributors are:

Yangtao (Max) Zhang
Yangtao (Max) Zhang
🏆 3

Who are from:

University of Michigan - Ann Arbor
University of Michigan - Ann Arbor
🏆 3

Tags

Data Science

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Learn After
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  • Having three evaluation metrics makes it harder for you to quickly choose between two different algorithms, and will slow down the speed with which your team can iterate. True/False?

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