Professor Jergen at Baylor College of Medicine
**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,severe,normal,profound.\NairBoneGap: f, t.\Nar_c(): normal,elevated,absent.\Nar_u(): normal,absent,elevated.\Nbone(): mild,moderate,normal,unmeasured.\NboneAbnormal: f, t.\Nbser(): normal,degraded.\Nhistory_buzzing: f, t.\Nhistory_dizziness: f, t.\Nhistory_fluctuating: f, t.\Nhistory_fullness: f, t.\Nhistory_heredity: f, t.\Nhistory_nausea: f, t.\Nhistory_noise: f, t.\Nhistory_recruitment: f, t.\Nhistory_ringing: f, t.\Nhistory_roaring: f, t.\Nhistory_vomiting: f, t.\Nlate_wave_poor: f, t.\Nm_at_2k: f, t.\Nm_cond_lt_1k: f, t.\Nm_gt_1k: f, t.\Nm_m_gt_2k: f, t.\Nm_m_sn: f, t.\Nm_m_sn_gt_1k: f, t.\Nm_m_sn_gt_2k: f, t.\Nm_m_sn_gt_500: f, t.\Nm_p_sn_gt_2k: f, t.\Nm_s_gt_500: f, t.\Nm_s_sn: f, t.\Nm_s_sn_gt_1k: f, t.\Nm_s_sn_gt_2k: f, t.\Nm_s_sn_gt_3k: f, t.\Nm_s_sn_gt_4k: f, t.\Nm_sn_2_3k: f, t.\Nm_sn_gt_1k: f, t.\Nm_sn_gt_2k: f, t.\Nm_sn_gt_3k: f, t.\Nm_sn_gt_4k: f, t.\Nm_sn_gt_500: f, t.\Nm_sn_gt_6k: f, t.\Nm_sn_lt_1k: f, t.\Nm_sn_lt_2k: f, t.\Nm_sn_lt_3k: f, t.\Nmiddle_wave_poor: f, t.\Nmod_gt_4k: f, t.\Nmod_mixed: f, t.\Nmod_s_mixed: f, t.\Nmod_s_sn_gt_500: f, t.\Nmod_sn: f, t.\Nmod_sn_gt_1k: f, t.\Nmod_sn_gt_2k: f, t.\Nmod_sn_gt_3k: f, t.\Nmod_sn_gt_4k: f, t.\Nmod_sn_gt_500: f, t.\Nnotch_4k: f, t.\Nnotch_at_4k: f, t.\No_ar_c(): normal,elevated,absent.\No_ar_u(): normal,absent,elevated.\Ns_sn_gt_1k: f, t.\Ns_sn_gt_2k: f, t.\Ns_sn_gt_4k: f, t.\Nspeech(): normal,good,very_good,very_poor,poor,unmeasured.\Nstatic_normal: f, t.\Ntymp(): a,as,b,ad,c.\Nviith_nerve_signs: f, t.\Nwave_V_delayed: f, t.\Nwaveform_ItoV_prolonged: f, t.\Nindentifier (unique for each instance)\N\Nclass:\Ncochlear_unknown,mixed_cochlear_age_fixation,poss_central\Nmixed_cochlear_age_otitis_media,mixed_poss_noise_om,\Ncochlear_age,normal_ear,cochlear_poss_noise,cochlear_age_and_noise,\Nacoustic_neuroma,mixed_cochlear_unk_ser_om,conductive_discontinuity,\Nretrocochlear_unknown,conductive_fixation,bells_palsy,\Ncochlear_noise_and_heredity,mixed_cochlear_unk_fixation,\Notitis_media,possible_menieres,possible_brainstem_disorder,\Ncochlear_age_plus_poss_menieres,mixed_cochlear_age_s_om,\Nmixed_cochlear_unk_discontinuity,mixed_poss_central_om
audiology
OpenML dataset with id 7