means class and low value means class (or vice versawhile we focused our discussion here on decision trees for classificationall that was said is similarly true for decision trees for regressionas implemented in decision treeregressor the usage and analysis of regression trees is very similar to that of classification trees there is one particular property of using tree-based models for regression that we want to point outthough the decisiontreeregressor (and all other tree-based regression modelsis not able to extrapolateor make predictions outside of the range of the training data let' look into this in more detailusing dataset of historical computer memory (ramprices figure - shows the datasetwith the date on the -axis and the price of one megabyte of ram in that year on the -axisin[ ]import pandas as pd ram_prices pd read_csv("data/ram_price csv"plt semilogy(ram_prices dateram_prices priceplt xlabel("year"plt ylabel("price in $/mbyte"figure - historical development of the price of ramplotted on log scale supervised learning