About this document

Prac6 25BME062 by jaypatel21102007 is a document available to read on EtoBox.

The document details a practical exercise using K-Nearest Neighbors (KNN) for classification on the Iris dataset, demonstrating both a ready-made function and a manual implementation. In both cases, the model achieved an accuracy of approximately 96.67% with varying precision and recall metrics for different classes. The exercise emphasizes the importance of neighbor selection in KNN and showcases the results of the classification reports.

Author

jaypatel21102007

Language

EN