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Hyper Parameter Tuning Of Random Forest Algorithm For Affective Learning System

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Category
Articles
Authors
Kavita Kelkar
Publisher
Ieee
Publishing Date
01-Aug-2021
volume
3 rd Conference
Issue
3
Pages
1191-1194
doi
978-1-7281-5821-1/20/$31.00 ©2020 IEEE
  • Abstract

Affective learning system is developed by author to detect affective state of the learner by using random forest algorithm. We analyze various hyper parameters of the algorithm for getting best performance in terms of accuracy and Cohen’s Kappa for affective learning dataset

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KAVITA KELKAR. (2021).
Hyper Parameter Tuning Of Random Forest Algorithm For Affective Learning System. International Conference on Smart Systems and Inventive Technology (ICSSIT 2020),3 rd Conference(3): 1191-1194.doi: 978-1-7281-5821-1/20/$31.00 ©2020 IEEE
KAVITA KELKAR. (2019).
Behavioral Feature Analysis For Learner Affect Identification. 2019 IEEE 16th India Council International Conference (INDICON),p-issn : 2325-940X(online): 2:1-4.doi: http://doi.org/10.1109/INDICON47234.2019.9029005
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