tests/testthat/_snaps/modelReport.md

In sgvignali/SDMtune: Species Distribution Model Selection

Settings are correct

  * Model type: Maxent
  * Train locations: 5400
      * presence: 400
      * absence/background: 5000
  * Test locations: 5400
      * presence: 400
      * absence/background: 5000
  * Continuous variables: bio1, bio12, bio16, bio17, bio5, bio6, bio7, bio8
  * Categorical variables: biome
  * Output type: cloglog
  * Feature Class combination: lqph
  * Regularization multiplier: 1
  * Do clamping for predictions: TRUE,
  * Extra arguments: removeduplicates=false, addsamplestobackground=false

  * Model type: Maxnet
  * Train locations: 5400
      * presence: 400
      * absence/background: 5000
  * Continuous variables: bio1, bio12, bio16, bio17, bio5, bio6, bio7, bio8
  * Categorical variables: biome
  * Output type: cloglog
  * Feature Class combination: lqph
  * Regularization multiplier: 1

  * Model type: ANN
  * Train locations: 5400
      * presence: 400
      * absence/background: 5000
  * Continuous variables: bio1, bio12, bio16, bio17
  * Categorical variables: 
  * Size: 10
  * Decay: 0
  * Rang: 0.7
  * Maxit: 100

  * Model type: BRT
  * Train locations: 5400
      * presence: 400
      * absence/background: 5000
  * Continuous variables: bio1, bio12, bio16, bio17
  * Categorical variables: ,
  * Distribution: bernoulli
  * Number of trees: 200
  * Interaction depth: 1
  * Shrinkage: 0.2
  * Bag fraction: 0.5

  * Model type: RF
  * Train locations: 5400
      * presence: 400
      * absence/background: 5000
  * Continuous variables: bio1, bio12, bio16, bio17
  * Categorical variables: ,
  * Mtry: 2
  * Number of trees: 200
  * Node size: 1

sgvignali/SDMtune documentation built on July 20, 2023, 1:45 a.m.