instantlybanned

What was your methodology for quantifying which factors are most predictive? Meaning, how did you model the data and how did you establish importance of each variable?

1. What are the data analysis challenges that you face in your research, is it sparsity in attributes, the amount of data, the low prevalence,...?

2. What statistical or learning methods do you work with most, e.g. anomaly detection or clustering or hypothesis testing, or ...?

3. Do you make data publicly available?

In what kind of situations do you believe a citizen requires access to an AR-15 as opposed to just a handgun or a hunting rifle?

Thanks for the detailed response. Where would one be able to look up the details of the study such as how feature importance was computed (I assume based on decreasing node impurity), if results were cross validated (and how folds were created), and what the predictive performance of the classifiers was? I'm interested since the importance of the variables is only meaningful when the model has good generalization performance. I could not find such details when doing a quick keyword search on the paper.