Academic Prediction


Authors : Angelo Jaison; Ashik V; Aswin E B; Daniyel Johnson; Priya K V

Volume/Issue : Volume 6 - 2021, Issue 6 - June

Google Scholar : http://bitly.ws/9nMw

Scribd : https://bit.ly/3gYTSFB

Every educational institute maintains a proper database on their student performance and activities. This information is incredibly useful in the realm of education., particularly for evaluating the performance of students. It is true that evaluating student performance has grown difficult due to the lack of comparison between different resampling methods due to the imbalanced data sets in this discipline. Some of these resampling models such as Random Forest, Artificial Neural Network and Logistic Regression. Furthermore are compared in this paper and the model validation we used here is 5-fold cross validation. These resampling methods provide an accurate output on the current performance of students and state the variance in their performance. This provides a reliable source to view and check the performance of students.

CALL FOR PAPERS


Paper Submission Last Date
31 - October - 2021

Paper Review Notification
In 1-2 Days

Paper Publishing
In 2-3 Days

Never miss an update from Papermashup

Get notified about the latest tutorials and downloads.

Subscribe by Email

Get alerts directly into your inbox after each post and stay updated.
Subscribe
OR

Subscribe by RSS

Add our RSS to your feedreader to get regular updates from us.
Subscribe