Unlocking Patterns: Simplifying Complex Data Analysis with KNN Classification

Presenter Major

Computer Science

Presentation Type

Poster

Location

Hays Theatre, Wilbur Arts Building

Start Date

26-4-2024 10:45 AM

End Date

26-4-2024 11:30 AM

Description (Abstract)

Discover the power of K-Nearest Neighbor (KNN) classification through an engaging exploration of iris and noisy moon datasets. This study delves into selecting the most effective normalization method based on accuracy and evaluates classification performance using comprehensive methods like LeaveOneOut and others. Perfect for attendees with varied backgrounds, the presentation simplifies data science concepts, making them accessible. Connect these with a more realistic real-world example while attendees come if needed.

Keywords

KNN, Data Classification, Evaluation Methods, Normalization, Machine Learning

Related Pillar(s)

Study

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Apr 26th, 10:45 AM Apr 26th, 11:30 AM

Unlocking Patterns: Simplifying Complex Data Analysis with KNN Classification

Hays Theatre, Wilbur Arts Building

Discover the power of K-Nearest Neighbor (KNN) classification through an engaging exploration of iris and noisy moon datasets. This study delves into selecting the most effective normalization method based on accuracy and evaluates classification performance using comprehensive methods like LeaveOneOut and others. Perfect for attendees with varied backgrounds, the presentation simplifies data science concepts, making them accessible. Connect these with a more realistic real-world example while attendees come if needed.