Engineering impact 16

Adaptive MSD-Splitting: Enhancing C4.5 and Random Forests for Skewed Continuous Attributes

Adaptive MSD-Splitting: Enhancing C4.5 and Random Forests for Skewed Continuous Attributes arXiv:2604.19722v1 Announce Type: cross Abstract: The discretization of continuous numerical attributes remains a persistent com…

Why it matters

The timing matters: continuous is converging with shifts in attributes, which could amplify the downstream impact.

Read full article at arXiv AI →

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