Computer scienceData scienceMachine learningClassification

Introduction to K-Nearest Neighbors

A rule of thumb

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In the following binary dataset, with n data points, where n = 50, what is the best choice for K when classifying this dataset?

Remember the rule of thumb for choosing K we introduced in the topic.

A scatter plot of 'Students admitted to engineering school' with two classes: Admitted and Not admitted, with 'Physics'[0-100] on the X axis and Maths[0-100] on the Y axis

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