acute-inflammations
OpenML dataset with id 1556
No author found.
Full work available at URL: https://api.openml.org/data/v1/download/1593752/acute-inflammations.arff
Upload date: 1 June 2015
Dataset Characteristics
Number of classes: 2
Number of features: 7 (numeric: 1, symbolic: 6 and in total binary: 6 )
Number of instances: 120
Number of instances with missing values: 0
Number of missing values: 0
Author: Jacek Czerniak Source: original - UCI Please cite: J.Czerniak, H.Zarzycki, Application of rough sets in the presumptive diagnosis of urinary system diseases, Artificial Intelligence and Security in Computing Systems, ACS'2002 9th International Conference Proceedings, Kluwer Academic Publishers,2003, pp. 41-51.
- Abstract:
The data was created by a medical expert as a data set to test the expert system, which will perform the presumptive diagnosis of two diseases of the urinary system. This is a class-balanced version of acute-inflammations dataset.
This page was built for dataset: acute-inflammations
