The k-nearest neighbor (KNN) algorithm is like asking neighbors for advice – it makes predictions based on the majority vote of its nearby data points.

**In this study, we implemented and evaluated the K-Nearest Neighbors (KNN) algorithm from scratch, applying it to three distinct datasets: Breast Cancer, Car Evaluation, and Hayes-Roth, sourced from ...

This notebook can be used to quickly revise the KNN algorithm. 1. Introduction: KNN is a simple, intuitive, and versatile machine learning algorithm used for both classification and regression tasks.

Impact Statement: Traditional K-Nearest Neighbor (kNN) algorithms rely on real-number-based distance metrics, which can struggle to capture complex, nonlinear relationships between features in ...

During the process of testing five different videos were taken and the accuracy rate was calculated and the accuracy rate appears to be high for YOLO with 93% which is compared with three algorithms ...

It’s the 21st century, and according to a lot of sci-fi movies we should have perfected AI by now, right? Well we are getting there, and this project from a group of Cornell University studen… ...