nerdexam
Amazon

MLS-C01 · Question #81

A Machine Learning Specialist is building a logistic regression model that will predict whether or not a person will order a pizza. The Specialist is trying to build the optimal model with an ideal…

The correct answer is A. Receiver operating characteristic (ROC) curve. An ROC curve (receiver operating characteristic curve) is a graph showing the performance of a classification model at all classification thresholds. https://docs.aws.amazon.com/machine-learning/latest/dg/binary-model-insights.html

Modeling

Question

A Machine Learning Specialist is building a logistic regression model that will predict whether or not a person will order a pizza. The Specialist is trying to build the optimal model with an ideal classification threshold. What model evaluation technique should the Specialist use to understand how different classification thresholds will impact the model's performance?

Options

  • AReceiver operating characteristic (ROC) curve
  • BMisclassification rate
  • CRoot Mean Square Error (RMSE)
  • DL1 norm

How the community answered

(22 responses)
  • A
    91% (20)
  • B
    5% (1)
  • C
    5% (1)

Explanation

An ROC curve (receiver operating characteristic curve) is a graph showing the performance of a classification model at all classification thresholds. https://docs.aws.amazon.com/machine-learning/latest/dg/binary-model-insights.html

Topics

#ROC Curve#Model Evaluation#Binary Classification#Classification Thresholds

Community Discussion

No community discussion yet for this question.

Sign up to join the discussion
Full MLS-C01 Practice