Which algorithm is typically used for multi-class classification problems?

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Question: Which algorithm is typically used for multi-class classification problems?

Options:

Correct Answer: K-Nearest Neighbors

Solution:

K-Nearest Neighbors can be used for multi-class classification by assigning the class based on the majority vote of neighbors.

Which algorithm is typically used for multi-class classification problems?

Which algorithm is typically used for multi-class classification problems?

Step 1: Understand that multi-class classification means categorizing data into more than two classes.
Step 2: Learn that K-Nearest Neighbors (KNN) is a popular algorithm for this type of problem.
Step 3: Know that KNN works by looking at the 'K' closest data points (neighbors) to a new data point.
Step 4: Determine the class of the new data point by seeing which class is most common among its neighbors.
Step 5: Assign the new data point to that most common class.

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