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What is the basic idea of the nearest-neighbor method?

Answer and explanation

Correct answer: Predicting for a new data point using the most similar nearby training examples

The nearest-neighbor method compares a new data point with stored training examples using a distance or similarity measure. It bases the prediction on the closest examples; in classification, the majority class among those neighbors is commonly selected. Therefore, option A is correct.

Related tags

Artificial IntelligenceClass 12Part B: Subject Specific SkillsUnit 4: Ai With Orange Data Mining ToolNearest NeighborMachine LearningClassificationOrange Data MiningTraining Data

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