Naive Bayes classification model for the student performance prediction
The prediction analysis is the approach which predicts future possibilities from the previous
data. The student performance prediction technique has the three phases which are pre …
data. The student performance prediction technique has the three phases which are pre …
Application of machine learning on student data for the appraisal of academic performance
Education With the inclusion and integration of internet and digital learning Education 2. 0
brought tools in the different context of education. The use of social networking concepts …
brought tools in the different context of education. The use of social networking concepts …
Comparative study of supervised learning algorithms for student performance prediction
M Mohammadi, M Dawodi… - … in Information and …, 2019 - ieeexplore.ieee.org
With huge amount of data in diverse technological areas, and generating such kinds of data
rapidly, it needs for proper usage; therefore, Data Mining has emerged. Data Mining can …
rapidly, it needs for proper usage; therefore, Data Mining has emerged. Data Mining can …
An efficient approach for multiclass student performance prediction based upon machine learning
A Jain, S Solanki - 2019 international conference on …, 2019 - ieeexplore.ieee.org
The field of educational data mining has enabled the researchers, educators to predict the
student's pass rate, failure rate, dropout rate etc. The main reason for dropouts of the student …
student's pass rate, failure rate, dropout rate etc. The main reason for dropouts of the student …
Student performance prediction using technology of machine learning
In the given paper, the main focus of this report is education. Student performance prediction
is our main target. Various factors have been taken into account to create a model used for …
is our main target. Various factors have been taken into account to create a model used for …
Student performance prediction model based on supervised machine learning algorithms
AS Hashim, WA Awadh… - IOP conference series …, 2020 - iopscience.iop.org
Higher education institutions aim to forecast student success which is an important research
subject. Forecasting student success can enable teachers to prevent students from dropping …
subject. Forecasting student success can enable teachers to prevent students from dropping …
Predicting patterns of student graduation rates using Naïve bayes classifier and support vector machine
A Kesumawati, DT Utari - AIP conference proceedings, 2018 - pubs.aip.org
In Indonesia education is one of the important aspects to be implemented by anyone aiming
to educate and create a reliable and resilient generation. One of the forms of education is …
to educate and create a reliable and resilient generation. One of the forms of education is …
Machine learning algorithm for student's performance prediction
HMR Hasan, AKMSA Rabby, MT Islam… - 2019 10th …, 2019 - ieeexplore.ieee.org
Student performance prediction is very important to understand a student progress rate. It is
said thatPrevention is better than the cure'. In this Research, we are trying to find out …
said thatPrevention is better than the cure'. In this Research, we are trying to find out …
A comparative study on student performance prediction using machine learning
Y Chen, L Zhai - Education and Information Technologies, 2023 - Springer
Accompanied with the development of storage and processing capacity of modern
technology, educational data increases sharply. It is difficult for educational researchers to …
technology, educational data increases sharply. It is difficult for educational researchers to …
Student performance prediction and classification using machine learning algorithms
For a productive and a good life, education is a necessity and it improves individuals' life
with value and excellence. Also, education is considered a vital need for motivating self …
with value and excellence. Also, education is considered a vital need for motivating self …