Opened 5 weeks ago

Last modified 5 weeks ago

#2990 accepted feature request

Variable-Impact-based Feature Selection

Reported by: pfleck Owned by: pfleck
Priority: medium Milestone: HeuristicLab 3.3.16
Component: Algorithms.DataAnalysis Version: branch
Keywords: Cc:

Description

Using the variable impacts for iterative feature selection can currently only be done manually. Having an automatic way would be nice.

General workflow of this Variable-Impact-based Feature Selection:

  1. Train Model
  2. Calculate Variable Impacts
  3. Remove Features with low impact
  4. Repeat until model accuracy drops too much

Change History (1)

comment:1 Changed 5 weeks ago by pfleck

  • Status changed from new to accepted
  • Version set to branch

r16612 branched trunk

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