How to describe most important features of ensemble model as list?
To make best use of a probability forecasts, users must choose a probability threshold which gives the correct balance of alerts and false alarms for their particular application. You can assign fixed values or calculate posterior probability.
You can use a range of values or percentages on the input data, mid-point calculations and/or the end result. If you find an outlier you might alter your output to specify the percentage of outliers included or removed. If the data has a narrow or flat confidence you might want to include that disclaimer in the output, omitting it otherwise.
Your output can be presented using a pyramid chart, Funnel Chart, or PowerPoint, other graphic/text based, or sophisticated 'Mind Map' style output. That should flexibly cover every situation from simple to complex. Calculations made with respect to the confidence, alerts, outliers, etc. can be used to choose one preferred chart style over another while you debug.
Your program ought to be formulated so it is always able to provide output that is suitable as a final result even in 'debug mode', (over what you originally had in mind). You don't want 'debug output' to provide an important result but have it be presentable to no one but yourself. The ability to save settings of Rules and have presets would make your program simple and flexible, and enable reproducible tests. Much as you would keep a copy of the input and output, keep a copy of the settings so they can be reloaded.
You want your program to work year after year, regardless of the input, providing useful output without having to tweak for each dataset if you want consistent results. You probably don't want it to appear as though the work was done by a different person every time.
Once you are finished the tool should 'just work', consistently. Here are examples of pyramid charts that can be automatically modified by the above techniques and the source code links provided below.
Examples for creating a Pyramid Chart in Python:
EDraw - Free Mind Map Software