Audiology (Standardized)
Donated on 8/17/1992
Standardized version of the original audiology database
Dataset Characteristics
Multivariate
Subject Area
Health and Medicine
Associated Tasks
Classification
Feature Type
Categorical
# Instances
226
# Features
70
Dataset Information
Additional Information
This 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. * Each property that appears anywhere in the original .data or .test file has been represented as a separate attribute in this file. * A property such as age_gt_60 is represented as a boolean attribute with values f and t. * 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: ** when only one value of y appears anywhere, e.g. static(normal). In this case, x_y appears as a boolean attribute. ** 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. * 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. * 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. [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.]
Has Missing Values?
Yes
Variables Table
| Variable Name | Role | Type | Description | Units | Missing Values |
|---|---|---|---|---|---|
| age_gt_60 | Feature | Categorical | no | ||
| air | Feature | Categorical | no | ||
| airBoneGap | Feature | Categorical | no | ||
| ar_c | Feature | Categorical | yes | ||
| ar_u | Feature | Categorical | yes | ||
| bone | Feature | Categorical | yes | ||
| boneAbnormal | Feature | Categorical | no | ||
| bser | Feature | Categorical | yes | ||
| history_buzzing | Feature | Categorical | no | ||
| history_dizziness | Feature | Categorical | no |
0 to 10 of 71
Additional Variable Information
age_gt_60: f, t. air(): mild,moderate,severe,normal,profound. airBoneGap: f, t. ar_c(): normal,elevated,absent. ar_u(): normal,absent,elevated. bone(): mild,moderate,normal,unmeasured. boneAbnormal: f, t. bser(): normal,degraded. history_buzzing: f, t. history_dizziness: f, t. history_fluctuating: f, t. history_fullness: f, t. history_heredity: f, t. history_nausea: f, t. history_noise: f, t. history_recruitment: f, t. history_ringing: f, t. history_roaring: f, t. history_vomiting: f, t. late_wave_poor: f, t. m_at_2k: f, t. m_cond_lt_1k: f, t. m_gt_1k: f, t. m_m_gt_2k: f, t. m_m_sn: f, t. m_m_sn_gt_1k: f, t. m_m_sn_gt_2k: f, t. m_m_sn_gt_500: f, t. m_p_sn_gt_2k: f, t. m_s_gt_500: f, t. m_s_sn: f, t. m_s_sn_gt_1k: f, t. m_s_sn_gt_2k: f, t. m_s_sn_gt_3k: f, t. m_s_sn_gt_4k: f, t. m_sn_2_3k: f, t. m_sn_gt_1k: f, t. m_sn_gt_2k: f, t. m_sn_gt_3k: f, t. m_sn_gt_4k: f, t. m_sn_gt_500: f, t. m_sn_gt_6k: f, t. m_sn_lt_1k: f, t. m_sn_lt_2k: f, t. m_sn_lt_3k: f, t. middle_wave_poor: f, t. mod_gt_4k: f, t. mod_mixed: f, t. mod_s_mixed: f, t. mod_s_sn_gt_500: f, t. mod_sn: f, t. mod_sn_gt_1k: f, t. mod_sn_gt_2k: f, t. mod_sn_gt_3k: f, t. mod_sn_gt_4k: f, t. mod_sn_gt_500: f, t. notch_4k: f, t. notch_at_4k: f, t. o_ar_c(): normal,elevated,absent. o_ar_u(): normal,absent,elevated. s_sn_gt_1k: f, t. s_sn_gt_2k: f, t. s_sn_gt_4k: f, t. speech(): normal,good,very_good,very_poor,poor,unmeasured. static_normal: f, t. tymp(): a,as,b,ad,c. viith_nerve_signs: f, t. wave_V_delayed: f, t. waveform_ItoV_prolonged: f, t. indentifier (unique for each instance) class: cochlear_unknown,mixed_cochlear_age_fixation,poss_central mixed_cochlear_age_otitis_media,mixed_poss_noise_om, cochlear_age,normal_ear,cochlear_poss_noise,cochlear_age_and_noise, acoustic_neuroma,mixed_cochlear_unk_ser_om,conductive_discontinuity, retrocochlear_unknown,conductive_fixation,bells_palsy, cochlear_noise_and_heredity,mixed_cochlear_unk_fixation, otitis_media,possible_menieres,possible_brainstem_disorder, cochlear_age_plus_poss_menieres,mixed_cochlear_age_s_om, mixed_cochlear_unk_discontinuity,mixed_poss_central_om
Dataset Files
| File | Size |
|---|---|
| audiology.standardized.data | 37.9 KB |
| audiology.standardized.names | 6.2 KB |
| audiology.standardized.test | 5 KB |
Reviews
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pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset audiology_standardized = fetch_ucirepo(id=8) # data (as pandas dataframes) X = audiology_standardized.data.features y = audiology_standardized.data.targets # metadata print(audiology_standardized.metadata) # variable information print(audiology_standardized.variables)
Audiology (Standardized) [Dataset]. (1992). UCI Machine Learning Repository. https://doi.org/10.24432/C5TP4R.
Keywords
DOI
License
This dataset is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
This allows for the sharing and adaptation of the datasets for any purpose, provided that the appropriate credit is given.