breastcancer

Dataset: Physiological dataset for 699 patients tested for breast cancer.

datasets

Create, visualize, and test fast-and-frugal decision trees (FFTs). FFTs are very simple decision trees for
binary classification problems. FFTs can be preferable to more complex algorithms because they are easy to communicate, require very little information, and are
robust against overfitting.

Nathaniel Phillips

FFTrees

Generate, Visualise, and Evaluate Fast-and-Frugal Decision Trees

Hansjoerg Neth

Jan Woike

Wolfgang Gaissmaer

breastcancer function

A data frame containing 699 rows and 9 columns<dl class="dl-horizontal">
 <dt>thickness</dt><dd>Clump Thickness</dd>
 <dt>cellsize.unif</dt><dd>Uniformity of Cell Size</dd>
 <dt>cellshape.unif</dt><dd>Uniformity of Cell Shape</dd>
 <dt>adhesion</dt><dd>Marginal Adhesion</dd>
 <dt>epithelial</dt><dd>Single Epithelial Cell Size</dd>
 <dt>nuclei.bare</dt><dd>Bare Nuclei</dd>
 <dt>chromatin</dt><dd>Bland Chromatin</dd>
 <dt>nucleoli</dt><dd>Normal Nucleoli</dd>
 <dt>mitoses</dt><dd>Mitoses</dd>
 <dt>diagnosis</dt><dd>Is cancer present? T or F</dd>...
</dl>

Format

Dataset: Physiological dataset for 699 patients tested for breast cancer. — breastcancer

Dataset: Physiological dataset for 699 patients tested for breast cancer.

breastcancer: Dataset: Physiological dataset for 699 patients tested for breast cancer.

Description

Usage

Arguments

Format