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Full-Text Articles in Statistical Models
Stressor: An R Package For Benchmarking Machine Learning Models, Samuel A. Haycock
Stressor: An R Package For Benchmarking Machine Learning Models, Samuel A. Haycock
All Graduate Theses and Dissertations, Spring 1920 to Summer 2023
Many discipline specific researchers need a way to quickly compare the accuracy of their predictive models to other alternatives. However, many of these researchers are not experienced with multiple programming languages. Python has recently been the leader in machine learning functionality, which includes the PyCaret library that allows users to develop high-performing machine learning models with only a few lines of code. The goal of the stressor package is to help users of the R programming language access the advantages of PyCaret without having to learn Python. This allows the user to leverage R’s powerful data analysis workflows, while simultaneously …
Statistical Graph Quality Analysis Of Utah State University Master Of Science Thesis Reports, Ragan Astle
Statistical Graph Quality Analysis Of Utah State University Master Of Science Thesis Reports, Ragan Astle
All Graduate Theses and Dissertations, Spring 1920 to Summer 2023
Graphical software packages have become increasingly popular in our modern world, but there are concerns within the statistical visualization field about the default settings provided by these packages, which can make it challenging to create good quality graphs that align with standard graph principles. In this thesis, we investigate whether the quality of graphs from Utah State University (USU) Plan A Master of Science (MS) thesis reports from the years 1930 to 2019 was affected by the rise of graphical software packages. We collected all data stored on the USU Digital Commons website since November 2021 to determine the specific …