get_best_tree: Select the best tree (from current set of FFTs)

In FFTrees: Generate, Visualise, and Evaluate Fast-and-Frugal Decision Trees

Select the best tree (from current set of FFTs)

Description

get_best_tree selects (looks up and identifies) the best tree (as an integer) from the set (or “fan”) of FFTs contained in the current FFTrees object x, an existing type of data ('train' or 'test'), and a goal for which corresponding statistics are available in the designated data type (in x$trees$stats).

Usage

get_best_tree(x, data, goal, my.goal.max = TRUE)

Arguments

x	An FFTrees object.
data	The type of data to consider (as character: either 'train' or 'test').
goal	A goal (as character) to be maximized or minimized when selecting a tree from an existing FFTrees object x (with existing x$trees$stats).
my.goal.max	Default direction for user-defined my.goal (as logical): Should my.goal be maximized? Default: my.goal.max = TRUE.

Details

Importantly, get_best_tree only identifies and selects the 'tree' identifier (as an integer) from the set of existing trees with known statistics, rather than creating new trees or computing new cue thresholds. More specifically, goal is used for identifying and selecting the 'tree' identifier (as an integer) of the best FFT from an existing set of FFTs, but not for computing new cue thresholds (see goal.threshold and fftrees_cuerank()) or creating new trees (see goal.chase and fftrees_ranktrees()).

Value

An integer denoting the tree that maximizes/minimizes goal in data.

See Also

FFTrees for creating FFTs from and applying them to data.

Other utility functions: get_exit_type(), get_fft_df()

FFTrees documentation built on June 7, 2023, 5:56 p.m.