This paper proposed Genetic Algorithm based Feature Selection (GAFS) along with selected single classifier for classification in order to improve the accuracy in predicting student academic performance. Kaggle dataset is used in this paper and two phase of experiment have been conducted, single ...
Predicting student performance in computing majors and the factors affecting his success can have a substantial effect on improving student academic performance and his on-time graduation with all the financial benefits that come with that. There is a li
This type of visualization provides an easy way to realize more information about the dataset (e.g., J.K. Rownling writes very successful books but her earlier books have sold much more than her latest books) It seems that in almost all cases the second book of an authors sells smaller...
The statistical evaluation is based on the student dataset from the Kaggle repository. The analyzed results depict that the proposed EDSS model on an independent data mart with efficient decision support and OLAP provides a better platform to make academic decisions and help educa...
Prediction of student academic performance helps the students to take decision about their progress in academics. It can help not only the current students but also the future students to take decision. In this work, kaggle student dataset was used to predict the student performance. Different ...
This research utilizes a comprehensive dataset sourced from Kaggle, encompassing various student attributes such as academic performance, demographic information, and socioeconomic factors. Through rigorous feature analysis and data preprocessing, this study lays the groundwork for applying classification ...
Potential Objectives for Using This Dataset: Analyze Factors Affecting Academic Performance: The data enables researchers to study the relationships between socioeconomic factors (such as family income, parental education levels, family support, and extracurricular activities) and students' academic performanc...
6.1. Dataset The educational dataset xAPI was adopted in the experiments. xPAI [22] (https://www.kaggle.com/datasets/aljarah/xAPI-Edu-Data, accessed on 10 November 2023) is a student academic performance dataset collected from a learning management system. It consists of 480 student records...
Explore and run machine learning code with Kaggle Notebooks | Using data from Students Performance in Exams
trained and tested their network using the Kaggle dataset [70] and used a variety of algorithms in their study, including DT (C5.0), NB, RF, SVM, KNN, and a deep neural network. Reference [70] employed a dataset of 500 students with 16 different features, including academic, behavioral,...