Abstract: This research aims to develop a phishing detection model using the K-Nearest Neighbors (KNN) algorithm and compare its performance with Decision Tree (DT). With phishing threats on the rise, ...
Abstract: In this project, we aimed to assess mushroom contamination by analyzing images using two different algorithms: a novel K-Nearest Neighbour algorithm and a traditional Logistic Regression ...