What is the Random Forest Algorithm?
The random forest algorithm is excellent at predicting, one of the best algorithms in terms of predictive power, but it explains absolutely nothing. It's a black box that produces good predictions but offers absolutely no insight into the underlying relationship. Accordingly, there are many versions of random forest algorithms, but perhaps the two most important are those for quantitative explanatory variables, for quantitative y, and those for qualitative y, which takes the value 0 or 1, yes or no. We'll consider the version of the random forest algorithm for quantitative variables, meaning variables that take a range of values. ===========================
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