Which of the following metrics should a Machine Learning Specialist generally use to compare/evaluate machine learning classification models against each other?

The correct answer is D. Area Under the ROC Curve (AUC). Another benefit of using AUC is that it is classification-threshold-invariant like log loss. https://towardsdatascience.com/the-5-classification-evaluation-metrics-you-must-know-

Modeling

Question

Options

ARecall
BMisclassification rate
CMean absolute percentage error (MAPE)
DArea Under the ROC Curve (AUC)

How the community answered

(50 responses)

B
4% (2)
C
2% (1)
D
94% (47)

Explanation

Another benefit of using AUC is that it is classification-threshold-invariant like log loss. https://towardsdatascience.com/the-5-classification-evaluation-metrics-you-must-know-

Topics

#Model evaluation#Classification metrics#AUC#Model comparison

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