Tune the Decision Tree model by hyperband.

Tune the Decision Tree model by hyperband.

Usage

mi_tune_rp(
  data,
  resampling = rsmp("bootstrap", ratio = 0.8, repeats = 5),
  measure = msr("classif.acc"),
  eta = 3
)

Arguments

data

A tibble.All are numeric except the first column is a factor.

resampling

R6/Resampling.

measure

Model evaluation method.Use mlr_measures and msr() to view and choose metrics.

eta

The percent parameter configurations discarded.

Value

A list of tuning instance and stage plot.