Single Tree Fit and Random Forest Fit

[#1]

Consider the house prices data from lecture (HousePrices). Make an 80/20

training/validation split with the random seed set to “1.” Based on your validation data set, obtain a single tree fit and a random forest fit (no early stopping rule, use defaults).

1. a)  Save the Prediction Formula for each model. Use JMP’s model comparison platform and compare the fits. Show output. The conclusions you make might not be so firm considering that the data set is not large.

2. b)  For each of the fits, use JMP’s prediction formula to predict a house of size 2.4, 3 bedrooms, 2 baths, 0 previous offers, brick, and in West neighborhood.

[#2]

I apologize in advance, but it appears you want the forum to do your homework?  While I don't fault you for trying, I don't think this is the best way for you to learn the methods you ask about.  In addition, you should attach JMP files if you want us to look.