Home » Microsoft » DP-100 v.2 » Which two metrics can you use?
You create a binary classification model.
You need to evaluate the model performance.
Which two metrics can you use? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
A. relative absolute error
B. precision
C. accuracy
D. mean absolute error
E. coefficient of determination
Correct Answer: BC
Explanation/Reference:
The evaluation metrics available for binary classification models are: Accuracy, Precision, Recall, F1 Score, and AUC.
Note: A very natural question-is: ‘Out of the individuals whom the model, how many were classified correctly (TP)?’
This question-can be answered by looking at the Precision of the model, which is the proportion of positives that are classified correctly.
References: https://docs.microsoft.com/en-us/azure/machine-learning/studio/evaluate-model-performance
