Hi There this is my assignment, i attached the data set as well. I want to predict the possible cost:
Select and justify at least 3 different prediction model types that are likely to best help with your stated problem objectives.
Configure your models (e.g. select attributes and/or other model parameters) that you expect will best deliver relevant insights and/or provide the lowest error rates, justifying your decisions.
Run these models, discussing the model outputs and drawing, where possible, insights related to your problem.
Prepare and discuss at least 1 ensemble model, combining two or more of your prediction models.
Select a proper scoring rule to measure the accuracy of your models. Determine and comment on the best generalised error rate across your 4 prediction models and of your ensemble models.
--> means I also need error rates of my model
Discuss what steps you may have taken to improve your individual models.
Include any R-code you used to prepare your data in the code appendix.
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