breastw


This is the Breast Wisconsin dataset from the UCI Machine Learning Repository. 
This dataset has 699 instances, sixteen of them  with missing values, 9 predictor attributes 
and one class attribute assuming values 1(benign tumor) and 2(malign tumor).


datasets

Data preprocessing techniques for classification. Functions for normalization, handling of missing values,discretization, outlier detection, feature selection, and data visualization are included.

Edgar Acuna

dprep

Data Pre-Processing and Visualization Functions for
Classification

breastw function

A data frame with 699 observations on the following 10 variables.
  <dl>
    <dt>V1</dt><dd>Clump Thickness </dd> <dt>V2</dt><dd>Uniformity of Cell Size</dd> <dt>V3</dt><dd>Uniformity of Cell Shape</dd> <dt>V4</dt><dd>Marginal Adhesion</dd> <dt>V5</dt><dd>Single Epithelial Cell Size</dd> <dt>V6</dt><dd>Bare Nuclei</dd> <dt>V7</dt><dd>Bland Chromatin </dd> <dt>V8</dt><dd>Normal Nucleoli</dd> <dt>V9</dt><dd>Mitoses</dd> <dt>V10</dt><dd>Class: 1 for benign, 2 for Malign</dd> </dl> 

Format

The UCI Machine Learning Database Repository at:
<ul>
<li> <a href="/link/ftp%3A%2F%2Fftp.ics.uci.edu%2Fpub%2Fmachine-learning-databases?package=dprep&version=3.0.2" data-mini-rdoc="dprep::ftp://ftp.ics.uci.edu/pub/machine-learning-databases">ftp://ftp.ics.uci.edu/pub/machine-learning-databases</a>
      </li>
<li> <a href="http://www.ics.uci.edu/~mlearn/MLRepository.html">http://www.ics.uci.edu/~mlearn/MLRepository.html</a>
    </li>
</ul> 

breastw: The Breast Wisconsin dataset

Description

Usage

Arguments

Format

Source

Details

Examples