Question 1 of 30
A retail company is looking to implement Einstein Vision to enhance its product categorization process. They have a dataset of 10,000 images of products, each labeled with their respective categories. The company wants to train a model that can accurately classify new product images into these categories. If the model achieves an accuracy of 85% on a validation set of 2,000 images, what is the expected number of misclassified images when the model is applied to a new batch of 5,000 images?
750
850
950
1050

Preparing for SalesForce Certified AI Associate Salesforce Certified AI Associate? Now land the interview.

73% of qualified candidates get rejected because of weak resumes. Build an ATS-optimized, recruiter-ready resume in under 5 minutes - free to start.

Build My Resume Free