audiology
type: Item
instance of: data set
OpenML dataset ID: 7
dataset version identifier: 1
author name string: Professor Jergen at Baylor College of Medicine
collection date: 1987-12-03
upload date: 2014-04-06T00:00:00Z
full work available at URL: audiology.arff
full work available at URL: Audiology+(Standardized)
default target attribute: class
OpenML semantic tag: Machine Learning
OpenML semantic tag: Medicine
citation text: https://www.sciencedirect.com/science/article/pii/B9780080510552500092
number of binary features: 61
number of classes: 24
number of features: 70
number of instances: 226
number of instances with missing values: 222
number of missing values: 317
number of numeric features: 0
number of symbolic features: 70
MaRDI profile type: Dataset
description: **Author**: Professor Jergen at Baylor College of Medicine\N**Source**: [UCI](https://archive.ics.uci.edu/ml/datasets/Audiology+(Standardized))\N**Please cite**: Bareiss, E. Ray, & Porter, Bruce (1987). Protos: An Exemplar-Based Learning Apprentice. In the Proceedings of the 4th International Workshop on Machine Learning, 12-23, Irvine, CA: Morgan Kaufmann\N\N**Audiology Database**\NThis database is a standardized version of the original audiology database (see audiology.* in this directory). The non-standard set of attributes have been converted to a standard set of attributes according to the rules that follow.\N\N* Each property that appears anywhere in the original .data or .test file has been represented as a separate attribute in this file.\N\N* A property such as age_gt_60 is represented as a boolean attribute with values f and t.\N\N* In most cases, a property of the form x(y) is represented as a discrete attribute x() whose possible values are the various y's; air() is an example. There are two exceptions:\N** when only one value of y appears anywhere, e.g. static(normal). In this case, x_y appears as a boolean attribute.\N** when one case can have two or more values of x, e.g. history(..). All possible values of history are treated as separate boolean attributes.\N\N* Since boolean attributes only appear as positive conditions, each boolean attribute is assumed to be false unless noted as true. The value of multi-value discrete attributes taken as unknown ("?") unless a value is specified.\N\N* The original case identifications, p1 to p200 in the .data file and t1 to t26 in the .test file, have been added as a unique identifier attribute.\N\N[Note: in the original .data file, p165 has a repeated specification of o_ar_c(normal); p166 has repeated specification of speech(normal) and conflicting values air(moderate) and air(mild). No other problems with the original data were noted.]\N\N\N### Attribute Information:\N\Nage_gt_60: f, t.\Nair(): mild,moderate,se…
file format: ARFF
description: OpenML dataset with id 7