AINeutralarXiv – CS AI · 7h ago6/10
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Correcting Split Selection in Online Decision Trees via Anytime-Valid Inference
Researchers propose an anytime-valid inference method to correct split selection in decision trees used for streaming data, addressing a critical statistical gap where existing Hoeffding Trees lack valid guarantees despite empirical success. The approach provides false-split control across arbitrary data streams while producing smaller, more efficient trees than current methods.