Machine Learning K-Nearest Neighbors
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Multiple Choice
What is the main idea behind the K-Nearest Neighbors algorithm?
- It classifies data points based on the majority vote of their neighbors.
- It finds the closest data point to a new data point and assigns the same label.
- It calculates the distance between data points and assigns labels based on the shortest distance.
- It uses a decision tree to classify data points.