Optimizing Public Grievance Detection Accuracy Through Hyperparameter Tuning of Random Forest and Hybrid Model

Author:

Shah KhushbooORCID,Joshi HardikORCID,Joshi HirenORCID

Publisher

Springer Nature Switzerland

Reference23 articles.

1. Yao, Q., et al.: Taking human out of learning applications: a survey on automated machine learning. arXiv:1810.13306v4 [cs.AI], pp. 1–20 (2018). http://arxiv.org/abs/1810.13306

2. Lecture Notes in Computer Science;L von Rueden,2020

3. Bahel, V., Pillai, S.: A comparative study on various binary classification algorithms and their improved variant for optimal performance. In: IEEE Region 10 Symposium, pp. 5–7, June 2020

4. Patil, T.R., Sherekar, S.S.: Performance analysis of naive Bayes and J48 classification algorithm for data classification. Int. J. Comput. Sci. Appl. 6(2) (2013). www.researchpublications.org

5. Ranjitha, K.V., Venkatesh.: Classification and optimization scheme for text data using machine learning Naïve Bayes classifier. In: 2018 IEEE World Symposium on Communication Engineering, pp. 33–36 (2018)

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