The classic UCI abalone dataset: predict the number of rings (a proxy for age) of abalone from physical measurements. Included as standard supervised-learning practice data; it has no causal structure.
abaloneA data frame with 4,177 rows and 9 columns: sex (factor),
seven physical measurements and the target rings (integer).
data(abalone)
head(abalone)
#> sex length diameter height whole_weight shucked_weight viscera_weight
#> 1 M 0.455 0.365 0.095 0.5140 0.2245 0.1010
#> 2 M 0.350 0.265 0.090 0.2255 0.0995 0.0485
#> 3 F 0.530 0.420 0.135 0.6770 0.2565 0.1415
#> 4 M 0.440 0.365 0.125 0.5160 0.2155 0.1140
#> 5 I 0.330 0.255 0.080 0.2050 0.0895 0.0395
#> 6 I 0.425 0.300 0.095 0.3515 0.1410 0.0775
#> shell_weight rings
#> 1 0.150 15
#> 2 0.070 7
#> 3 0.210 9
#> 4 0.155 10
#> 5 0.055 7
#> 6 0.120 8