Chumachenko, D.; Meniailov, I.; Bazilevych, K.; Chumachenko, T.; Yakovlev, S.
Investigation of Statistical Machine Learning Models for COVID-19 Epidemic Process Simulation: Random Forest, K-Nearest Neighbors, Gradient Boosting. Computation 2022, 10, 86.
https://doi.org/10.3390/computation10060086
AMA Style
Chumachenko D, Meniailov I, Bazilevych K, Chumachenko T, Yakovlev S.
Investigation of Statistical Machine Learning Models for COVID-19 Epidemic Process Simulation: Random Forest, K-Nearest Neighbors, Gradient Boosting. Computation. 2022; 10(6):86.
https://doi.org/10.3390/computation10060086
Chicago/Turabian Style
Chumachenko, Dmytro, Ievgen Meniailov, Kseniia Bazilevych, Tetyana Chumachenko, and Sergey Yakovlev.
2022. "Investigation of Statistical Machine Learning Models for COVID-19 Epidemic Process Simulation: Random Forest, K-Nearest Neighbors, Gradient Boosting" Computation 10, no. 6: 86.
https://doi.org/10.3390/computation10060086
APA Style
Chumachenko, D., Meniailov, I., Bazilevych, K., Chumachenko, T., & Yakovlev, S.
(2022). Investigation of Statistical Machine Learning Models for COVID-19 Epidemic Process Simulation: Random Forest, K-Nearest Neighbors, Gradient Boosting. Computation, 10(6), 86.
https://doi.org/10.3390/computation10060086