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Multi-method feature importance analysis

Subcategory: statistical modeling
Papers: 1 | Mentions: 1

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Description

Systematic feature selection using six complementary statistical methods to identify key environmental drivers of chemodiversity while reducing bias from any single technique.

Typical Equipment

  • Statistical software including R
  • Python non-linear least squares

Output Measurements

  • feature importance scores
  • environmental driver rankings