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okay so we know ensembling is important but now what i want to do is i want to teach you some of the 80 20 concepts before we dive into all of the code and everything so uh what is ensembling thats what we aim to thats what i aim to cover in this presentation and lets so lets get started all right so the first thing i want to talk about is weighted ensembles and this is probably the easiest thing to understand so um basically what we have are whats called sub models and these are the models that weve put into a model time table so think of it like you might have an arima model a glm net model a sport vector machine an xg boost model and you have these now in your model timetable and some of them are doing better than others and then what you can do is you can take the predicted results and combine them in multiple different ways one strategy is to weight them using an average and the most common is just to take the mean uh which is where you would have the model predictions are
