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cs.LG2023
The Conditioning Bias in Binary Decision Trees and Random Forests and Its Elimination
Gábor Timár, György Kovács
Decision tree and random forest classification and regression are some of the most widely used in machine learning approaches. Binary decision tree implementations commonly use con…
physics.soc-ph2023★ 5 cited
Strongly clustered random graphs via triadic closure: An exactly solvable model
Lorenzo Cirigliano, Claudio Castellano, Gareth Baxter +1
Triadic closure, the formation of a connection between two nodes in a network sharing a common neighbor, is considered a fundamental mechanism determining the clustered nature of m…