Our World in Data 2023_Marco Vlajnic_Accuracy and Performance of Machine Learning Methodologies
This dataset is a subset from the Oxford University Our World in Data Covid 19 Dataset. This dataset contains data points collected on an ongoing basis from Johns Hopkins University, Center for Systems Science and Engineering COVID-19 data, OXFORD COVID-19 Government Response Tracker, and European Centre for Disease Control, from January 2020 to present. The original dataset contains data from 207 countries and territories from which 26 countries were selected in this dataset: United States, Canada, Finland, Iceland, Denmark, Belgium, Sweden, United Kingdom, Czechia, Slovakia, Switzerland, Slovenia, Austria, Italy, Ireland, Portugal, France, Netherlands, Luxembourg, Spain, Serbia, Bulgaria, Romania, Latvia, Cyprus, and Estonia. This data was accessed and downloaded on Dec 30, 2022, and it included data from January 1, 2020, to December 30, 2022.
This ReadMe File provides the list of variables with the appropriate definitions for understanding the data.
- Our World in Data 2023_Marco Vlajnic_Accuracy and Performance of Machine Learning Methodologies.csv (9.14 MB)