PROFESSIONAL-MACHINE-LEARNING-ENGINEER Question #32: Real Exam Question with Answer & Explanation

Question

You work for a textile manufacturer and have been asked to build a model to detect and classify fabric defects. You trained a machine learning model with high recall based on high resolution images taken at the end of the production line. You want quality control inspectors to gain trust in your model. Which technique should you use to understand the rationale of your classifier?

Options

• AUse K-fold cross validation to understand how the model performs on different test datasets.
• BUse the Integrated Gradients method to efficiently compute feature attributions for each predicted
• CUse PCA (Principal Component Analysis) to reduce the original feature set to a smaller set of
• DUse k-means clustering to group similar images together, and calculate the Davies-Bouldin index