Optimal Stopping Algorithm for Modern Interview Process using Machine Learning |
Author(s): |
| Ankit A. Pandey , Keystone School of Engineering; Husain A. Shaikh, Keystone School of Engineering; Premraj V. Zambre, Keystone School of Engineering; Asim M. Raj, Keystone School of Engineering; Prof. Jubber S. Nadaf, Keystone School of Engineering |
Keywords: |
| Optimal stopping algorithm, Decision Tree Classifier, 37% rule, Interview Process |
Abstract |
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This Research Paper Aims to Provide the Balance of Time and Quality in modern interview process using Optimal Stopping Algorithms coupled with machine learning algorithm called as decision tree classifier. In Any optimal stopping problem, the crucial dilemma is not which option to pick, but how many options to even consider. We try to answer this question by combining optimal stopping algorithm and machine learning with human intuition. |
Other Details |
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Paper ID: IJSRDV8I21011 Published in: Volume : 8, Issue : 2 Publication Date: 01/05/2020 Page(s): 1139-1141 |
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