Hotspot Question
You train classification and regression models by using automated machine learning.
You must evaluate automated machine learning experiment results. The results include how a classification model is making systematic errors in its predictions and the relationship between the target feature and the regression model's predictions. You must use charts generated by automated machine learning.
You need to choose a chart type for each model type.
Which chart types should you use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Correct Answer:

Explanation:
The calibration curve plots a model's confidence in its predictions against the proportion of positive samples at each confidence level.
https://learn.microsoft.com/en-us/azure/machine-learning/how-to-understand-automated- ml?view=azureml-api-2#calibration-curve The predicted vs. true chart plots the relationship between the target feature (true/actual values) and the model's predictions.
https://learn.microsoft.com/en-us/azure/machine-learning/how-to-understand-automated- ml?view=azureml-api-2#predicted-vs-true