Haihan Lan
Sep 6, 2018 · 1 min read

For regression problems we use an error metric such as RMSE (for target values that differ within the scale of 10¹) or logarithmic RMSE for target values that differ greater than the scale of 10¹) to measure how well our models fit. So in your case you can run the regression tree/RF model and use RMSE or a similar metric to determine how good the training and test (validation) accuracy is.

    Haihan Lan

    Written by

    Data Scientist @Procurify