breast-tissue
OpenML dataset with id 1465
Author name not available (Why is that?)
Full work available at URL: https://api.openml.org/data/v1/download/1586226/breast-tissue.arff
Upload date: 21 May 2015
Dataset Characteristics
Number of classes: 6
Number of features: 10 (numeric: 9, symbolic: 1 and in total binary: 0 )
Number of instances: 106
Number of instances with missing values: 0
Number of missing values: 0
Author: JP Marques de Sá, J Jossinet Source: UCI Please cite:
- Source:
JP Marques de Sá, INEB-Instituto de Engenharia Biomédica, Porto, Portugal; e-mail: jpmdesa '@' gmail.com J Jossinet, inserm, Lyon, France
- Data Set Information:
Impedance measurements were made at the frequencies: 15.625, 31.25, 62.5, 125, 250, 500, 1000 KHz Impedance measurements of freshly excised breast tissue were made at the following frequencies: 15.625, 31.25, 62.5, 125, 250, 500, 1000 KHz. These measurements plotted in the (real, -imaginary) plane constitute the impedance spectrum from where the breast tissue features are computed.
The dataset can be used for predicting the classification of either the original 6 classes or of 4 classes by merging together the fibro-adenoma, mastopathy and glandular classes whose discrimination is not important (they cannot be accurately discriminated anyway).
- Attribute Information:
I0 Impedivity (ohm) at zero frequency
PA500 phase angle at 500 KHz
HFS high-frequency slope of phase angle
DA impedance distance between spectral ends
AREA area under spectrum
A/DA area normalized by DA
MAX IP maximum of the spectrum
DR distance between I0 and real part of the maximum frequency point
P length of the spectral curve
Class car(carcinoma), fad + mas + gla, con (connective), adi (adipose).
This page was built for dataset: breast-tissue
