role #variables #> outcome 1 #> predictor 7 #> #> Training data contained 6358 data points and no missing data. #> #> Operations: #> Log transformation on acreage [trained] #> Variable mutation for distance_from_station [trained] #> Log transformation on distance_from_station [trained] #> Collapsing factor levels for current_use [trained] #> Dummy variables from current_use, building_structure [trained] #> Centering and scaling for distance_from_station, acreage, ... [trained] recipeͷ
A tibble: 5 x 8 #> mtry trees .metric .estimator mean n std_err .config #> <int> <int> <chr> <chr> <dbl> <int> <dbl> <chr> #> 1 26 1283 rmse standard 0.135 1 NA Model17 #> 2 20 524 rmse standard 0.135 1 NA Model19 #> 3 23 1190 rmse standard 0.135 1 NA Model08 #> 4 29 239 rmse standard 0.135 1 NA Model01 #> 5 34 1118 rmse standard 0.136 1 NA Model25 4