[question] Chapter-2 (page-no:91)-Random Forest Regressor training of the dataset(housing)

### Enter the chapter number

chapter 2 End to end MAchine Learning Project

### Enter the page number

Page 91 , RandomForest Regressor

### What is the cell's number in the notebook

in the line , [ if you train a Rando Forest and measure the RSME.........],

### Enter the environment you are using to run the notebook

Jupyter on Windows

### Question

My question is : The author says let's try one model now, the Random Forest regressor. And he uses it. And then performs a cross validation using the variable forest_rmses. After the test, he again says: [ However, if you train a random forest and measure the RMSC on the training set, you will find roughly 17474]. So now the question is. Are these both different because in the previous forest_rmses score...the RMSE is 47019