creditapproval

datasets

Contains several functions that allow users
to create, visualize, and test Fast and Frugal Trees (FFTs). FFts are very simple decision trees for
classifying cases (i.e.; breast cancer patients) into one of two classes (e.g.;
no cancer vs. true cancer) based on a small number of cues (e.g.; test results). FFTs can be preferable to more complex algorithms (such as
logistic regression) because they are easy to communicate and implement, and are
robust against noisy data.

Nathaniel Phillips

FFTrees

Generate, Visualise, and Compare Fast and Frugal Decision Trees

creditapproval function

A data frame containing 690 rows and 15 columns

Format

https://archive.ics.uci.edu/ml/datasets/Credit+Approval

creditapproval: Credit approval data

Description

Usage

Arguments

Format

Source