data: https://drive.google.com/file/d/1FUBBWwbSnNdkfHBiE…
Use any approach you want to predict the price of diamonds using RapidMiner, and then explain your approach.
(The instructor will then apply your approach to another dataset of 2000 diamonds that they have, and see how well it predicts those diamonds’ prices.)
Hints: use a Cross Validation operator to see what gets you the lowest RMSE. You can also use operators like Filter Examples, Select Attributes, Nominal to Numerical (three of the attributes are qualitative), or any other changes you’d like to make to the dataset.
It’s not enough to say “We used linear regression after removing three attributes.” You need to tell me which three attributes you removed, and what parameters you changed in the Linear Regression operator. (You could also include a screenshot of parameters for an operator if you changed many of them.)
must be able to show or tell me clearly enough so that it can be replicated exactly
please save as a rapid miner file so it can be opened on the software from my end
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