Yagya Nath Rimal

According to our database, Yagya Nath Rimal authored at least 5 papers between 2022 and 2024.

Collaborative distances:

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2024

The accuracy of machine learning models relies on hyperparameter tuning: student result classification using random forest, randomized search, grid search, bayesian, genetic, and optuna algorithms.

Yagya Nath Rimal, Navneet Sharma, Abeer Alsadoon

Multim. Tools Appl., September, 2024

Hyperparameter optimization: a comparative machine learning model analysis for enhanced heart disease prediction accuracy.

Yagya Nath Rimal, Navneet Sharma

Multim. Tools Appl., May, 2024

Machine learning model matters its accuracy: a comparative study of ensemble learning and AutoML using heart disease prediction.

Yagya Nath Rimal, Siddhartha Paudel, Navneet Sharma, Abeer Alsadoon

Multim. Tools Appl., April, 2024

2023

Ensemble Machine Learning Model Improves Prediction Accuracy for Academic Performance: A Comparative Study of Default ML VS Boosting Algorithm.

Yagya Nath Rimal, Navneet Sharma

Proceedings of the 5th International Conference on Information Management & Machine Intelligence, 2023

2022

Malware Threat Affecting Financial Organization Analysis Using Machine Learning Approach.

Romil Rawat, Yagya Nath Rimal, P. William, Snehil Dahima, Sonali Gupta, K. Sakthidasan Sankaran

Int. J. Inf. Technol. Web Eng., 2022