ML Knowledge

The performance of a model can be evaluated by calculating the area under the curve (AUC). Can you tell me how you would go about calculating the AUC for a model?

Machine Learning Engineer

Microsoft

TripAdvisor

AT&T

Blend

Red Hat

Duolingo

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  • How would you calculate AUC for a model?
  • The performance of a model can be evaluated by calculating the area under the curve (AUC). Can you tell me how you would go about calculating the AUC for a model?
  • AUC is a popular metric used to determine the effectiveness of a model. Could you walk me through the steps for calculating AUC?
  • To ascertain how well a model is functioning, one can calculate the AUC. How would you suggest we go about calculating AUC for our model?
  • A Model's AUC can play a crucial role in evaluating its performance. Would you know how to calculate the AUC of a model?
  • The AUC is a popular measure of a model's performance. Can you elaborate on how to calculate the AUC of a model?
  • In determining how well a model is performing, the AUC is an essential metric. Could you explain the process of calculating the AUC for a model?
  • The AUC is a critical performance indicator for a model. Do you know how to calculate AUC for a given model?
  • To measure the effectiveness of a model, AUC calculation can be helpful. Can you explain how you would calculate AUC for a model?
  • A model's performance can be evaluated by calculating its AUC. Would you be able to tell me how to calculate AUC for a model?
  • To evaluate a model's efficiency and accuracy, one should calculate its AUC. Can you walk me through the process of calculating AUC for a model?
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Interview question asked to Machine Learning Engineers interviewing at Microsoft, Deliveroo, Duolingo and others: The performance of a model can be evaluated by calculating the area under the curve (AUC). Can you tell me how you would go about calculating the AUC for a model?.