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Machine learning algorithms build a model of the training data. The term "machine learning" is vaguely defined; it includes what is also called statistical learning, reinforcement learning, unsupervised learning, etc. ALWAYS ADD A MORE SPECIFIC TAG.

4 votes
1 answer
586 views

Consequences of adding transformed features columns for random forests and lasso?

When adjusting a Random Forest or LASSO model to some data, let's say y ~ x1 + x2, do I lose anything by considering transformation of the features to my model? For example: y ~ x1 + x2 + log(x1) + lo …
VFreguglia's user avatar
4 votes
2 answers
4k views

What are advantages of random forests vs using bagging with other classifiers?

I'm studying Random Forests, but after reviewing the methods I got the following line of reasoning: I feel like the big advantage of random forests happens in the bagging process where nearly uncorrel …
VFreguglia's user avatar