PROFESSIONAL-MACHINE-LEARNING-ENGINEER · Question #46
PROFESSIONAL-MACHINE-LEARNING-ENGINEER Question #46: Real Exam Question with Answer & Explanation
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Question
You work for a maintenance company and have built and trained a deep learning model that identifies defects based on thermal images of underground electric cables. Your dataset contains 10,000 images, 100 of which contain visible defects. How should you evaluate the performance of the model on a test dataset?
Options
- ACalculate the Area Under the Curve (AUC) value.
- BCalculate the number of true positive results predicted by the model.
- CCalculate the fraction of images predicted by the model to have a visible defect.
- DCalculate the Cosine Similarity to compare the model's performance on the test dataset to the
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