Chunk #142 — Features and Pitfalls — Randomness and Stability

Source

An introduction to recursive partitioning: rationale, application, and characteristics of classification and regression trees, bagging, and random forests.

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In summary this means: If you observe that, for a different random seed, your prediction results and variable importance rankings (for the top-scoring variables) differ notably, you should not interpret the results but adjust the number of trees and preselected predictor variables.