A field-guide app must assign each mushroom photo to one of five edibility classes: edible, choice, inedible, toxic, or unknown. It must not output a weight in grams. Which technique should the team use?
Select an answer to reveal the explanation.
Short Explanation
Think of sorting mushrooms into five labeled bins, not putting them on a scale. Classification picks from a finite set of names. Grams would be regression, invented piles would be clustering, and "it is July" does not turn a single photo into a forecast.
Full Explanation
Classification predicts a value from a finite set of labels, which is the five edibility classes. Regression predicts a continuous number such as grams, which the team ruled out. Seasonal foraging does not make this a forecasting problem; the input is one photo and the output is a class. Clustering would invent groups without pre-set names, but those five class names already exist.