How to pronounce “random forest” in English

So we generate a large set of Random Forest classifiers, and we train them, and then we compute their precision

So we end up with 420 individual Random Forest classifiers, and we built them as follows.

Because remember, Random Forest itself is an ensemble, because it's based on individual trees which are built into a forest.

So we take-- if you take the Ith random forest classifier and take its output, which is shown as sigma IJ, which

And so we can run through and imply machine learning, random forest algorithms, and build models to understand this that the human eye or some more standards