Yagyanath Rimal

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

Yagyanath Rimal, Navneet Sharma, Abeer Alsadoon · Multimedia Tools and Applications · 2024 · 96 citations

Artificial Intelligence, Engineering, Machine Learning +16

Malware Threat Affecting Financial Organization Analysis Using Machine Learning Approach

Romil Rawat, Sanjaya Kumar Sarangi, Yagyanath Rimal et al. · International Journal of Information Technology and Web Engineering · 2022 · 95 citations · Full text

Fraud Detection, Engineering, Machine Learning +26

Comparative analysis of heart disease prediction using logistic regression, SVM, KNN, and random forest with cross-validation for improved accuracy

Yagyanath Rimal, Navneet Sharma, Siddhartha Paudel et al. · Scientific Reports · 2025 · 22 citations · Full text

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

Yagyanath Rimal, Navneet Sharma · Multimedia Tools and Applications · 2023 · 20 citations

Hyperparameter Optimization, Hyperparameter Estimation, Engineering +14

Data interpretation and visualization of COVID-19 cases using R programming

Yagyanath Rimal, Saikat Gochhait, Aakriti Bisht · Informatics in Medicine Unlocked · 2021 · 15 citations · Full text