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Classification data to predict the species of penguins from the palmerpenguins package. A better alternative to the iris data set.

Pre-processing

  • The unit of measurement have been removed from the column names. Lengths are given in millimeters (mm), weight in gram (g).

  • Observations with missing values have been removed.

  • Factor variables are one-hot encoded.

References

Gorman KB, Williams TD, Fraser WR (2014). “Ecological Sexual Dimorphism and Environmental Variability within a Community of Antarctic Penguins (Genus Pygoscelis).” PLoS ONE, 9(3), e90081. doi:10.1371/journal.pone.0090081 .

https://github.com/allisonhorst/palmerpenguins

Examples

data("penguins_simple", package = "mlr3data")
str(penguins_simple)
#> 'data.frame':	333 obs. of  11 variables:
#>  $ species         : Factor w/ 3 levels "Adelie","Chinstrap",..: 1 1 1 1 1 1 1 1 1 1 ...
#>  $ bill_depth      : num  18.7 17.4 18 19.3 20.6 17.8 19.6 17.6 21.2 21.1 ...
#>  $ bill_length     : num  39.1 39.5 40.3 36.7 39.3 38.9 39.2 41.1 38.6 34.6 ...
#>  $ body_mass       : int  3750 3800 3250 3450 3650 3625 4675 3200 3800 4400 ...
#>  $ flipper_length  : int  181 186 195 193 190 181 195 182 191 198 ...
#>  $ year            : int  2007 2007 2007 2007 2007 2007 2007 2007 2007 2007 ...
#>  $ island.Biscoe   : num  0 0 0 0 0 0 0 0 0 0 ...
#>  $ island.Dream    : num  0 0 0 0 0 0 0 0 0 0 ...
#>  $ island.Torgersen: num  1 1 1 1 1 1 1 1 1 1 ...
#>  $ sex.female      : num  0 1 1 1 0 1 0 1 0 0 ...
#>  $ sex.male        : num  1 0 0 0 1 0 1 0 1 1 ...