Using Neutrosophic Trait Measures to Analyze Impostor Syndrome in College Students after COVID 19 Pandemic with Machine Learning is popular PDF and ePub book, written by Riya Eliza Shaju in 2024-09-22, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Using Neutrosophic Trait Measures to Analyze Impostor Syndrome in College Students after COVID 19 Pandemic with Machine Learning can be Read Online from any device for your convenience.
Using Neutrosophic Trait Measures to Analyze Impostor Syndrome in College Students after COVID 19 Pandemic with Machine Learning Book PDF Summary
Impostor syndrome or Impostor phenomenon is a belief that a person thinks their success is due to luck or external factors, not their abilities. This psychological trait is present in certain groups like women. In this paper, we propose a neutrosophic trait measure to represent the psychological concept of the trait-anti trait using reļ¬ned neutrosophic sets. This study analysed a group of 200 undergraduate students for impostor syndrome, perfectionism, introversion and self-esteem: after the COVID pandemic break in 2021. Data labelling was carried out using these neutrosophic trait measures. Machine learning models like Support Vector Machine(SVM), K-nearest neighbour (K-NN), and random forest were used to model the data; SVM provided the best accuracy of 92.15%.
Detail Book of Using Neutrosophic Trait Measures to Analyze Impostor Syndrome in College Students after COVID 19 Pandemic with Machine Learning PDF
- Author : Riya Eliza Shaju
- Release : 22 September 2024
- Publisher : Infinite Study
- ISBN : 978186723xxxx
- Genre : Computers
- Total Page : 18 pages
- Language : English
- PDF File Size : 18,8 Mb
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