Research Paper | Computer Science & Engineering | India | Volume 9 Issue 3, March 2020
Prediction of MS Graduate Admissions using Decision Tree Algorithm
Janani P, Hema Priya V, Monisha Priya S
Every year, the number of students wanting to pursue higher studies in abroad especially in US is more and they find difficult to search the best university. And thus, this paper helps on predicting the eligibility of students getting admission in best university based on the test attributes like GRE, TOEFL, CGPA, Research Papers published etc. According to their scores the possibility of chance of admit is calculated. This project uses machine learning technique specifically Decision Tree algorithm (version 0.22.1) for predicting the output which helps them to admit in the best university and also helps the students to find the possibility of admitting in other universities based on their scores.
Keywords: Machine learning, decision tree, best university, admission
Edition: Volume 9 Issue 3, March 2020
Pages: 492 - 495
How to Cite this Article?
Janani P, Hema Priya V, Monisha Priya S, "Prediction of MS Graduate Admissions using Decision Tree Algorithm", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=SR20307225734, Volume 9 Issue 3, March 2020, 492 - 495
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