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Explanation:
In AutoML (Automated Machine Learning) frameworks, for classification problems, multiple evaluation metrics are automatically computed for each model run to assess performance comprehensively. These include:
AutoML platforms compute these metrics to offer a detailed view of each model's performance, aiding in selecting the most suitable model based on specific application needs.
Which standard evaluation metrics are automatically computed for each run in an AutoML experiment for classification problems? Choose only ONE best answer.
A
Accuracy
B
Area Under the ROC Curve (AUC-ROC)
C
Recall
D
F1 Score
E
All of these
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