The [ns-rse/evaluate-modelling:docs/modelling*.qmd]() repository/branch has example workflows setup for a range of
"machine learning" statistical classification models. The results can be seen on the webpage
here along with greater details explaining the
concepts of splitting the data into training/testing, cross-validation some light overview of the methods being used and
explanations of how the predictive accuracy can be assessed.
These use a simulated data set but the workflow is adaptable to the Sheffield data now it is available.
The code needs copying over to this repository and working into the index.qmd so that the modelling runs and summaries
of the models are made in the manuscript.
The [
ns-rse/evaluate-modelling:docs/modelling*.qmd]() repository/branch has example workflows setup for a range of "machine learning" statistical classification models. The results can be seen on the webpage here along with greater details explaining the concepts of splitting the data into training/testing, cross-validation some light overview of the methods being used and explanations of how the predictive accuracy can be assessed.These use a simulated data set but the workflow is adaptable to the Sheffield data now it is available.
The code needs copying over to this repository and working into the
index.qmdso that the modelling runs and summaries of the models are made in the manuscript.