AZtrees {mlr3resampling}

Arizona Trees

Description

Classification data set with polygons (groups which should not be split in CV) and subsets (region3 or region4).

Usage

data("AZtrees")

Format

A data frame with 5956 observations on the following 25 variables.

region3

a character vector

region4

a character vector

polygon

a numeric vector

y

a character vector

ycoord

latitude

xcoord

longitude

SAMPLE_1

a numeric vector

SAMPLE_2

a numeric vector

SAMPLE_3

a numeric vector

SAMPLE_4

a numeric vector

SAMPLE_5

a numeric vector

SAMPLE_6

a numeric vector

SAMPLE_7

a numeric vector

SAMPLE_8

a numeric vector

SAMPLE_9

a numeric vector

SAMPLE_10

a numeric vector

SAMPLE_11

a numeric vector

SAMPLE_12

a numeric vector

SAMPLE_13

a numeric vector

SAMPLE_14

a numeric vector

SAMPLE_15

a numeric vector

SAMPLE_16

a numeric vector

SAMPLE_17

a numeric vector

SAMPLE_18

a numeric vector

SAMPLE_19

a numeric vector

SAMPLE_20

a numeric vector

SAMPLE_21

a numeric vector

Source

Paul Nelson Arellano, [e-mail]

Examples

data(AZtrees)
task.obj <- mlr3::TaskClassif$new("AZtrees3", AZtrees, target="y")
task.obj$col_roles$feature <- grep("SAMPLE", names(AZtrees), value=TRUE)
task.obj$col_roles$group <- "polygon"
task.obj$col_roles$subset <- "region3"
str(task.obj)
same_other_sizes_cv <- mlr3resampling::ResamplingSameOtherSizesCV$new()
same_other_sizes_cv$instantiate(task.obj)
same_other_sizes_cv$instance$iteration.dt