DataSets repository
Datasets with imperfect values
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Citation this paper for the use fo these datasets J.M. Cadenas, M.C. Garrido, R. Martinez, P.P. Bonissone. |
Datasets missing-fuzzy values
Below you can find all the Classification datasets available. For each dataset, it is shown its name, attributes (the table details the number of Real/Nominal attributes in the data), number of instances and classes (number of possible values of the output variable).
In addition, the table shows if the corresponding dataset has missing values, interval values, fuzzy values and/or noise (the table shows the percentage of low quality values).
The table allows to download each dataset (inside a ZIP file) and a fuzzy partition of numerical attributes obtained with an automatic partitioning technique (doi) (inside a ZIP file).
Finally, we provide a file to give additional information about each dataset and its attributes (this information is available online at the 
logo or pdf file at the 
logo).
with missing values
| Name | #Attributes (R/N) |
#Examp. | #Class. | Missing values |
Dataset | Fuzzy partition |
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| (APE) Apendicitis | |
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Go to "Datasets Repository"
Go to "DataSets and Results repository"
with fuzzy values
| Name | #Attributes | #Examp. | #Class. | Fuzzy values |
Dataset | Fuzzy partition |
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| (APE) Apendicitis | |
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Go to "Datasets Repository"
Go to "DataSets and Results repository"