5Question: A programmer is developing an AI model that classifies medical images into 4 categories: tumor, inflammation, normal, and stroke. If the model is tested on a dataset of 10 images, and each image is independently classified into one of the 4 categories, how many different classification outcomes are possible such that exactly 3 images are labeled as "tumor", 2 as "inflammation", 4 as "normal", and 1 as "stroke"?

Thu, 30 Apr 2026 07:25:41 +0000

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