Tree-based regression and classification has become a standard tool in modern data science. Bayesian Additive Regression Trees (BART) has in particular gained wide popularity due its flexibility in dealing with interactions and non-linear effects. BART is a Bayesian tree-based machine learning method that can be applied to both regression and classification problems and yields competitive or superior results when compared to other predictive models. As a Bayesian model, BART allows the practitioner to explore the uncertainty around predictions through the posterior distribution. In this paper, we present new visualization techniques for exploring BART models. We construct conventional plots to analyze a model's performance and stability as well as create new tree-based plots to analyze variable importance, interaction, and tree structure. We employ Value Suppressing Uncertainty Palettes (VSUP) to construct heatmaps that display variable importance and interactions jointly using color scale to represent posterior uncertainty. Our new visualizations are designed to work with the most popular BART R packages available, namely BART, dbarts, and bartMachine. Our approach is implemented in the R package bartMAN (BART Model ANalysis).
The change in my knowledge of the subject of epilepsy has, obviously, been enormous since my diagnosis, approximately 4 years ago. While I knew then that I would have to take prescribed drugs to combat what are relatively infrequent seizures, I did not immediately foresee exactly the size of impact that my condition would have on my family, my friends and my work. For example, the problem of not being able to drive and the need, therefore, to use alternative methods of transport proved to be the major issue for my lifestyle and for those around me -particularly my wife, who is now the sole driver in my immediate family. As a result, the management of my condition, and the management of my treatment have become a major focal point in my life.Each seizure has proved to be a very deflating event, especially as each new one means the potential to get my driving license back is postponed for a number of months. On each occasion, you feel as though all those months of treatment have, effectively, been lost and that you are back to 'square one'. For this reason, the elimination of seizures in the shortest period of time is of paramount importance to me. The only positive in what is a seemingly never-ending sea of negatives is the support that is provided to me by EA and the National Health Service. From being provided with first class information on epilepsy, right through to more detail on how the treatment process works and what the potential side-effects and benefits of each antiepileptic drug are, I have never been in any doubt that everything would be done to assist me in being able to cope with the trials that lay ahead. From a treatment perspective, my drug dosages have been quickly amended after each seizure and a 6monthly review is carried out by the GP, which gives me further confidence. In addition, if requiring more detailed information or advice, I have the opportunity to contact my specialist at any time. Despite all of this, I still have found epilepsy difficult to come to terms with due to the restrictions mentioned earlier.As the seizures have continued since the initial diagnosis, not only the drugs I am taking but also the dosages have had to be increased and I am now at the stage of taking nine pills daily (4 Â 250 mg Levetiracetam, 3 Â 500 mg Epilim and 2 Â 200 mg Lamotrigine). This regime involves taking four pills in the morning and five in the evening. As a 38-year-old father of three children, all under 10 years old, my life is fairly hectic, and remembering to take all the drugs at the right times is sometimes not as easy as it sounds. Moreover, when it comes to drug taking, a degree of complacency settles in when not having had a seizure for a number of monthsthis may have been the cause of one of the seizures I have had.
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