sequential feature selection algorithm

Knowledge graph centered on sequential feature selection algorithm with 67 nodes and 131 connections. Top connected: Crested Butte, climatological variability, Winter snowpack, Precipitation Variability, Elevation Range.

Method synopsis

Algorithm starts with an empty set of features and adds features one at a time such that the model score (here, the five-fold cross-validation score) is maximized. This process continues till the model score stops improving.

Synthesized from method descriptions across 1 paper using this protocol.

Papers Using This Protocol (1)

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