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KEEL-dataset - data set description
dataset/images/newthyroid.gif



This section describes main characteristics of the newthyroid data set and its attributes:

General information

Thyroid Disease (New Thyroid) data set
TypeClassificationOriginReal world
Features 5(Real / Integer / Nominal)(4 / 1 / 0)
Instances215 Classes3
Missing values?No

Attribute description

AttributeDomain
T3resin[65, 144]
Thyroxin[0.5, 25.3]
Triiodothyronine[0.2, 10.0]
Thyroidstimulating[0.1, 56.4]
TSH_value[-0.7, 56.3]
Class{3, 2, 1}

Additional information

This data set is one of the several databases about Thyroid avalaible at the UCI repository. The task is to detect is a given patient is normal (1) or suffers from hyperthyroidism (2) or hypothyroidism (3)




In this section you can download some files related to the newthyroid data set:

  • The complete data set already formatted in KEEL format can be downloaded from herezip.gif.
  • A copy of the data set already partitioned by means of a 10-folds cross validation procedure can be downloaded from herezip.gif.
  • A copy of the data set already partitioned by means of a 5-folds cross validation procedure can be downloaded from herezip.gif.
  • The header file associated to this data set can be downloaded from heretxt.png.
  • This is not a native data set from the KEEL project. It has been obtained from the UCI Machine Learning Repository . The original page where the data set can be found is: http://archive.ics.uci.edu/ml/datasets/Thyroid+Disease.


 
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