The main objective of this research is to predict the possible presence of diabetes-
specifically in females-at an early stage using different machine learning techniques. Early …

This paper presents a literature review on the use of learning analytics to support prediction
in university student admission. The review covers four areas: types of research issues …

This research's focus is to utilize different machine learning classification models to predict
whether a given URL is a legitimate or a phishing URL. A legitimate URL directs users to a …

In the Internet era, there is no doubt that the Internet has helped us in many ways by
providing us with a means to communicate with anyone around the world. That is said, some …

This paper explores different machine learning algorithms and data splits to measure each
model's accuracy, precision, and recall. The models use personal key indicators to predict …

In recent years, the rate of gun violence has risen at a rapid pace. Most current security
systems rely on human personnel to monitor lobbies and halls constantly. With the …

In education, predicting students who can graduate on time is difficult. Identifying the
significant variables is challenging to predict on-time graduation because human …

Machine Learning is used in many fields of study. This paper used machine learning to
classify instances from the Sloan Digital Sky Survey Data Release 17 (SDSS DR17) as a …

The goal of this research is to apply machine learning techniques to forecast a student's
probability of being accepted into a graduate program. Applicants' GRE and TOEFL grades …

Car accidents have always been a terrible and extremely dangerous phenomenon. It
caused the loss of many lives. The delay of the needed medical treatment for injuries at …