How does EM handle categorical predictor variables for all modeling nodes? Does it do encoding transforming like Linear Regression? If this is the case, will encoding affect prediction power for Neural Network, Decision Trees, Gradient Boosting etc.?
Neural networks do dummy encoding of categorical/class inputs like a regression model.
Tree-based algorithms try grouping levels in every possible combination when determining the best split for each node of the tree.
April 27 – 30 | Gaylord Texan | Grapevine, Texas
Registration is open
Walk in ready to learn. Walk out ready to deliver. This is the data and AI conference you can't afford to miss. Register now and lock in 2025 pricing—just $495!