Datasets:
row_idx int64 | f_0_age_gt_60 string | f_1_air string | f_2_airBoneGap string | f_3_ar_c string | f_4_ar_u string | f_5_bone string | f_6_boneAbnormal string | f_7_bser string | f_8_history_buzzing string | f_9_history_dizziness string | f_10_history_fluctuating string | f_11_history_fullness string | f_12_history_heredity string | f_13_history_nausea string | f_14_history_noise string | f_15_history_recruitment string | f_16_history_ringing string | f_17_history_roaring string | f_18_history_vomiting string | f_19_late_wave_poor string | f_20_m_at_2k string | f_21_m_cond_lt_1k string | f_22_m_gt_1k string | f_23_m_m_gt_2k string | f_24_m_m_sn string | f_25_m_m_sn_gt_1k string | f_26_m_m_sn_gt_2k string | f_27_m_m_sn_gt_500 string | f_28_m_p_sn_gt_2k string | f_29_m_s_gt_500 string | f_30_m_s_sn string | f_31_m_s_sn_gt_1k string | f_32_m_s_sn_gt_2k string | f_33_m_s_sn_gt_3k string | f_34_m_s_sn_gt_4k string | f_35_m_sn_2_3k string | f_36_m_sn_gt_1k string | f_37_m_sn_gt_2k string | f_38_m_sn_gt_3k string | f_39_m_sn_gt_4k string | f_40_m_sn_gt_500 string | f_41_m_sn_gt_6k string | f_42_m_sn_lt_1k string | f_43_m_sn_lt_2k string | f_44_m_sn_lt_3k string | f_45_middle_wave_poor string | f_46_mod_gt_4k string | f_47_mod_mixed string | f_48_mod_s_mixed string | f_49_mod_s_sn_gt_500 string | f_50_mod_sn string | f_51_mod_sn_gt_1k string | f_52_mod_sn_gt_2k string | f_53_mod_sn_gt_3k string | f_54_mod_sn_gt_4k string | f_55_mod_sn_gt_500 string | f_56_notch_4k string | f_57_notch_at_4k string | f_58_o_ar_c string | f_59_o_ar_u string | f_60_s_sn_gt_1k string | f_61_s_sn_gt_2k string | f_62_s_sn_gt_4k string | f_63_speech string | f_64_static_normal string | f_65_tymp string | f_66_viith_nerve_signs string | f_67_wave_V_delayed string | f_68_waveform_ItoV_prolonged string | target int64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | t | mild | f | normal | normal | unmeasured | f | null | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | t | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | normal | normal | f | f | f | good | t | a | f | f | f | 1 |
1 | t | normal | f | normal | normal | unmeasured | f | null | f | f | f | f | f | f | t | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | t | f | f | f | f | normal | normal | f | f | f | good | t | a | f | f | f | 0 |
2 | t | mild | f | normal | normal | unmeasured | f | null | f | f | f | f | f | f | t | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | t | f | f | f | f | f | t | normal | normal | f | f | f | unmeasured | t | a | f | f | f | 0 |
3 | t | mild | f | normal | normal | unmeasured | f | null | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | t | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | normal | normal | f | f | f | normal | t | a | f | f | f | 1 |
4 | t | mild | f | normal | normal | unmeasured | f | null | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | t | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | normal | normal | f | f | f | very_good | t | a | f | f | f | 1 |
5 | t | mild | f | normal | normal | unmeasured | f | null | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | t | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | normal | normal | f | f | f | good | t | a | f | f | f | 1 |
7 | f | normal | f | normal | normal | unmeasured | f | null | f | f | f | f | f | f | t | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | t | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | normal | normal | f | f | f | very_good | t | a | f | f | f | 0 |
9 | f | moderate | f | absent | absent | mild | f | null | f | f | f | f | f | f | t | f | f | t | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | t | f | f | f | f | f | f | f | absent | absent | f | f | f | good | t | as | f | f | f | 0 |
10 | f | normal | f | elevated | absent | normal | f | null | f | f | f | f | f | f | t | f | t | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | t | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | t | elevated | elevated | f | f | f | normal | t | a | f | f | f | 0 |
11 | f | normal | f | elevated | elevated | normal | f | null | f | f | f | f | f | f | t | f | t | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | elevated | absent | f | t | f | very_good | t | a | f | f | f | 0 |
12 | t | normal | f | normal | normal | unmeasured | f | null | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | t | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | normal | normal | f | f | f | very_good | t | a | f | f | f | 1 |
13 | t | normal | f | normal | normal | unmeasured | f | null | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | t | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | normal | normal | f | f | f | good | t | a | f | f | f | 1 |
15 | f | mild | t | absent | absent | mild | f | null | f | f | f | f | f | f | f | f | t | f | f | f | f | t | f | f | f | f | f | f | f | f | f | f | f | f | f | f | t | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | absent | normal | f | f | f | normal | t | as | f | f | f | 0 |
17 | t | mild | f | normal | normal | unmeasured | f | null | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | t | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | normal | normal | f | f | f | good | t | a | f | f | f | 1 |
21 | t | mild | f | elevated | elevated | unmeasured | f | null | f | f | f | f | f | f | t | f | f | f | f | f | f | f | f | f | f | f | f | f | t | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | elevated | normal | f | f | f | very_poor | t | a | f | f | f | 0 |
22 | t | normal | f | elevated | normal | unmeasured | f | null | f | f | f | f | f | f | t | f | f | f | f | f | f | f | f | f | f | f | f | f | t | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | t | elevated | elevated | f | f | f | very_poor | t | as | f | f | f | 0 |
23 | f | mild | f | normal | normal | null | t | null | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | normal | normal | f | f | f | normal | t | a | f | f | f | 0 |
24 | f | moderate | f | normal | normal | null | t | null | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | normal | normal | f | f | f | normal | t | a | f | f | f | 0 |
25 | t | mild | t | null | absent | mild | t | null | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | null | absent | f | f | f | normal | t | as | f | f | f | 0 |
29 | f | mild | f | normal | normal | mild | t | null | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | normal | normal | f | f | f | good | t | a | f | f | f | 0 |
30 | f | mild | f | normal | normal | mild | t | null | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | normal | normal | f | f | f | very_good | t | a | f | f | f | 0 |
32 | t | mild | f | elevated | absent | mild | t | null | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | normal | absent | f | f | f | good | t | a | f | f | f | 1 |
33 | t | mild | f | normal | absent | mild | t | null | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | normal | absent | f | f | f | very_good | t | a | f | f | f | 1 |
34 | t | mild | f | normal | normal | null | t | null | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | normal | normal | f | f | f | good | t | a | f | f | f | 1 |
35 | f | severe | f | normal | normal | moderate | t | null | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | normal | normal | f | f | f | very_poor | t | a | f | f | f | 0 |
36 | f | normal | f | elevated | normal | mild | f | null | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | elevated | elevated | f | f | f | normal | t | a | f | f | f | 0 |
37 | t | mild | f | normal | normal | mild | t | null | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | normal | elevated | f | f | f | very_good | t | a | f | f | f | 1 |
38 | t | mild | f | normal | elevated | mild | t | null | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | normal | elevated | f | f | f | good | t | a | f | f | f | 1 |
39 | f | mild | f | normal | normal | mild | t | null | f | f | f | f | f | f | t | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | t | normal | elevated | f | f | f | very_good | t | a | f | f | f | 0 |
40 | f | mild | f | normal | elevated | mild | t | null | f | f | f | f | f | f | t | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | t | normal | normal | f | f | f | normal | t | a | f | f | f | 0 |
41 | f | normal | f | normal | normal | null | f | null | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | normal | elevated | f | f | f | normal | t | a | f | f | f | 0 |
43 | t | mild | f | normal | normal | null | t | null | f | f | f | f | f | f | t | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | normal | normal | t | f | f | very_poor | t | a | f | f | f | 0 |
45 | f | normal | f | normal | normal | null | t | null | f | f | f | f | f | f | t | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | t | f | normal | normal | f | t | f | good | t | a | f | f | f | 0 |
46 | f | normal | f | normal | normal | normal | f | null | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | normal | normal | f | f | f | normal | t | a | f | f | f | 0 |
47 | f | moderate | f | elevated | elevated | null | t | null | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | normal | normal | f | f | f | very_poor | t | a | f | f | f | 0 |
48 | f | normal | f | normal | normal | normal | t | null | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | t | f | f | f | f | normal | elevated | f | f | f | very_good | t | a | f | f | f | 0 |
50 | f | mild | f | normal | normal | null | t | null | f | f | f | f | f | f | t | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | normal | normal | f | f | t | normal | t | a | f | f | f | 0 |
51 | f | mild | f | absent | absent | mild | t | null | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | elevated | normal | f | f | f | very_poor | t | a | f | f | f | 0 |
52 | f | mild | f | elevated | normal | mild | t | null | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | absent | absent | f | f | f | normal | t | a | f | f | f | 0 |
54 | f | normal | f | elevated | normal | null | f | null | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | normal | normal | f | f | f | normal | t | a | f | f | f | 0 |
55 | f | normal | f | normal | elevated | null | f | null | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | t | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | t | f | elevated | normal | f | f | f | good | t | a | f | f | f | 0 |
57 | f | moderate | t | absent | absent | mild | t | null | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | absent | normal | f | f | f | very_good | t | b | f | f | f | 0 |
58 | f | mild | f | absent | normal | mild | t | null | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | absent | absent | f | f | f | normal | t | a | f | f | f | 0 |
59 | t | mild | f | absent | absent | mild | t | null | f | f | f | f | f | f | t | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | t | f | absent | absent | f | f | f | very_good | t | a | f | f | f | 0 |
61 | f | severe | t | absent | absent | mild | f | null | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | absent | elevated | f | f | f | very_poor | t | ad | f | f | f | 0 |
62 | t | normal | f | normal | normal | null | f | null | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | t | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | normal | elevated | f | f | f | good | t | a | f | f | f | 1 |
63 | t | normal | f | elevated | normal | null | f | null | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | t | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | normal | normal | f | f | f | very_good | t | a | f | f | f | 1 |
64 | f | normal | f | normal | elevated | normal | f | null | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | absent | absent | f | f | f | normal | t | a | f | f | f | 0 |
65 | t | mild | f | normal | normal | null | f | null | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | normal | normal | f | f | f | normal | t | a | f | f | f | 1 |
67 | f | mild | f | elevated | elevated | null | f | null | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | t | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | t | f | elevated | normal | f | f | f | normal | t | a | f | f | f | 0 |
68 | f | moderate | f | absent | absent | moderate | t | null | t | f | f | t | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | normal | elevated | f | f | f | very_poor | t | a | f | t | f | 0 |
69 | f | mild | t | absent | absent | normal | f | null | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | absent | absent | f | f | f | null | t | as | f | f | f | 0 |
70 | f | mild | f | absent | absent | mild | t | null | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | absent | elevated | f | f | f | normal | t | a | f | f | f | 0 |
71 | t | moderate | f | normal | normal | null | f | null | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | normal | elevated | f | t | f | very_poor | f | a | f | f | f | 1 |
72 | t | moderate | f | normal | elevated | null | f | null | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | normal | normal | f | t | f | very_poor | f | a | f | f | f | 1 |
73 | t | normal | f | elevated | normal | null | f | null | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | t | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | normal | normal | f | f | f | good | t | a | f | f | f | 1 |
74 | f | moderate | t | absent | absent | normal | f | null | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | absent | elevated | f | f | f | good | t | ad | f | f | f | 0 |
75 | f | normal | f | elevated | absent | null | f | null | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | elevated | elevated | f | f | f | normal | t | a | f | f | f | 0 |
76 | f | normal | f | elevated | elevated | normal | f | null | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | t | f | f | f | elevated | absent | f | f | f | normal | t | a | f | f | f | 0 |
77 | f | mild | f | normal | normal | null | f | null | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | t | f | f | f | f | f | normal | normal | f | f | f | good | t | a | f | f | f | 0 |
79 | t | mild | f | normal | elevated | null | f | null | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | normal | elevated | f | f | f | poor | t | a | f | f | f | 1 |
81 | f | normal | f | elevated | normal | null | f | null | f | f | f | f | f | f | t | f | f | f | f | f | f | f | f | f | f | f | t | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | t | f | normal | elevated | f | f | f | normal | t | a | f | f | f | 0 |
82 | t | mild | f | normal | normal | null | f | null | f | f | f | f | f | f | t | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | t | t | f | normal | normal | f | f | f | good | t | a | f | f | f | 0 |
83 | t | mild | f | normal | normal | null | f | null | f | f | f | f | f | f | t | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | t | f | f | f | f | f | f | t | f | normal | normal | f | f | f | poor | t | a | f | f | f | 0 |
84 | f | normal | f | elevated | elevated | normal | f | null | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | t | f | f | f | t | f | normal | normal | f | f | f | normal | t | a | f | f | f | 0 |
85 | f | normal | f | normal | normal | normal | f | null | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | elevated | elevated | f | f | f | normal | t | a | f | f | f | 0 |
86 | f | mild | f | absent | normal | null | f | null | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | elevated | absent | f | f | f | good | t | a | f | f | f | 0 |
87 | f | normal | f | elevated | normal | null | f | null | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | normal | absent | f | f | f | normal | t | a | f | f | f | 0 |
89 | t | mild | f | absent | absent | mild | f | null | f | f | f | f | f | f | t | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | t | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | absent | absent | f | f | f | very_good | t | a | f | f | f | 0 |
90 | f | mild | f | elevated | elevated | mild | f | null | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | t | f | f | elevated | normal | f | f | f | poor | t | a | f | f | f | 0 |
91 | f | mild | f | elevated | normal | mild | f | null | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | t | f | f | elevated | elevated | f | f | f | poor | t | a | f | f | f | 0 |
93 | t | normal | f | normal | elevated | normal | f | null | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | t | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | elevated | normal | f | f | f | normal | t | a | f | f | f | 1 |
95 | t | mild | f | absent | elevated | mild | f | null | f | f | f | f | f | f | t | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | t | f | f | f | f | f | absent | absent | f | f | f | poor | t | a | f | f | f | 0 |
96 | f | normal | f | absent | normal | normal | f | null | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | absent | absent | f | f | f | normal | t | a | f | f | f | 0 |
97 | f | mild | f | absent | absent | mild | f | null | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | absent | normal | f | f | f | normal | t | a | t | f | f | 0 |
99 | f | normal | f | normal | elevated | null | f | null | f | f | f | f | t | f | t | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | normal | normal | f | t | f | good | t | a | f | f | f | 0 |
100 | f | normal | f | absent | normal | normal | f | null | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | t | f | f | f | f | f | f | f | f | f | f | f | absent | absent | f | f | f | normal | t | a | f | f | f | 0 |
102 | f | mild | t | absent | absent | mild | f | null | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | absent | absent | f | f | f | normal | t | as | f | f | f | 0 |
103 | f | moderate | t | absent | absent | mild | f | null | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | absent | absent | f | f | f | very_good | t | as | f | f | f | 0 |
104 | f | mild | f | elevated | normal | mild | t | null | f | f | f | f | f | f | t | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | elevated | normal | f | f | f | very_good | t | c | f | f | f | 0 |
106 | f | mild | t | absent | absent | null | f | null | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | absent | elevated | f | f | f | normal | t | b | f | f | f | 0 |
107 | f | normal | f | absent | elevated | null | f | null | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | absent | absent | f | f | f | normal | t | c | f | f | f | 0 |
108 | f | mild | f | elevated | normal | mild | f | null | f | t | t | f | f | f | f | f | f | t | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | normal | elevated | f | f | f | good | f | a | f | f | f | 0 |
110 | f | normal | f | normal | normal | null | f | null | f | t | f | f | f | t | f | f | f | t | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | normal | normal | f | f | f | normal | f | a | f | f | t | 0 |
111 | f | mild | f | normal | normal | null | f | null | f | t | t | f | f | f | f | f | f | f | t | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | t | f | f | t | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | normal | normal | f | f | f | normal | f | a | f | f | f | 0 |
114 | t | severe | f | normal | normal | null | f | null | f | t | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | normal | normal | f | f | f | very_poor | t | a | f | f | f | 0 |
116 | t | moderate | f | normal | normal | moderate | f | null | f | t | t | f | f | t | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | normal | normal | f | f | f | very_poor | t | a | f | f | f | 0 |
118 | f | mild | f | normal | normal | null | f | null | f | t | f | f | f | t | t | f | f | t | t | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | t | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | normal | normal | f | f | f | normal | t | a | f | f | f | 0 |
119 | t | normal | f | normal | normal | null | f | null | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | t | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | normal | normal | f | f | f | normal | t | a | f | f | f | 1 |
120 | f | moderate | t | absent | absent | normal | f | null | f | f | f | f | f | f | t | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | absent | absent | f | f | f | very_poor | t | b | f | f | f | 0 |
123 | t | moderate | t | normal | absent | mild | f | null | f | f | f | f | f | f | t | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | absent | absent | f | f | f | very_poor | t | b | f | f | f | 0 |
125 | f | normal | f | normal | normal | unmeasured | f | null | f | f | f | f | f | f | t | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | t | f | f | f | normal | normal | f | f | f | normal | t | a | f | f | f | 0 |
126 | f | mild | f | normal | elevated | unmeasured | f | null | f | f | f | f | f | f | t | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | t | normal | elevated | t | f | f | poor | t | a | f | f | f | 0 |
128 | f | mild | f | elevated | elevated | mild | f | null | f | t | f | f | f | f | f | f | t | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | t | normal | normal | f | f | f | good | t | a | f | t | f | 0 |
129 | f | mild | f | absent | absent | normal | f | null | f | t | f | f | f | f | t | f | t | f | f | f | f | f | t | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | absent | elevated | f | f | f | very_good | t | ad | f | f | f | 0 |
130 | f | normal | f | normal | normal | unmeasured | f | null | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | t | f | f | t | f | normal | normal | f | f | f | normal | t | a | f | f | f | 0 |
131 | f | moderate | t | absent | absent | mild | f | null | f | f | f | f | f | f | f | f | t | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | t | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | absent | normal | f | f | f | normal | t | as | f | f | f | 0 |
133 | f | mild | f | absent | absent | mild | f | null | f | f | t | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | t | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | absent | elevated | f | f | f | very_good | t | a | f | f | f | 0 |
134 | t | normal | f | absent | absent | normal | f | null | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | t | f | f | f | f | null | absent | f | f | f | normal | t | c | f | f | f | 0 |
136 | f | mild | f | absent | absent | normal | f | normal | f | f | f | f | f | f | f | f | f | f | f | t | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | f | t | f | f | f | f | f | f | f | f | t | f | f | f | f | f | f | f | f | f | f | f | f | absent | absent | f | f | f | normal | t | c | f | f | f | 0 |
End of preview. Expand in Data Studio
audiology
Part of TabBioMed (TabBioMed: A Large-Scale Benchmark for Biomedical Tabular Learning), a benchmark of 94 curated biomedical tabular datasets. Code, preprocessing and documentation: https://github.com/AI-sandbox/TabBioMed.
OpenML Audiology ID 999, version 2: binary classification of the original cochlear_age diagnosis (P, encoded 1) versus all other source diagnoses (N, encoded 0). The P/N mapping is verified against the row-aligned original multiclass release, OpenML ID 7. The negative class includes other hearing disorders and normal ears. Exact duplicate feature rows with agreeing labels are collapsed before splitting; missing categorical measurements are preserved. Evaluation uses five stratified outer folds and three-fold inner cross-validation for hyperparameter selection.
| Domain | Task | Samples | Features | Classes |
|---|---|---|---|---|
| Clinical & Healthcare | binary | 199 | 69 | 2 |
Splits. 5 stored outer cross-validation folds (data/fold_<i>/), each with train/val/test files (fold 0: 139/20/40 rows). Every row appears in exactly one outer test fold. HPO in the paper uses inner folds drawn from each outer non-test pool.
Files
data/**.parquet: one row per sample.row_idxis the row index in the original TabBioMed array;f_<i>[_<name>]are the features (in order);target(ortarget_<j>for multi-target tasks) is the label. Categorical feature indices (0-based, among the features):[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68]. Missing values are stored as nulls.metadata.json: TabBioMed task metadata (task type, categorical indices, source, description).feature_names.json: original feature names, in column order.
from datasets import load_dataset
ds = load_dataset("TabBioMed/audiology")
A Croissant (1.1) description with Responsible-AI fields is distributed with the TabBioMed release.
Source and license
Source: OpenML_Dataset_ID_999
This derived dataset is distributed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). Please also cite and respect the terms of the original source.
Citation
@inproceedings{tabbiomed2026,
title = {TabBioMed: A Large-Scale Benchmark for Biomedical Tabular Learning},
author = {Mateo Bernad{\'o}, Pau and Polapragada, Saivenkata Nagavyjayanthi and Bonet, David and Arbiol Rakuljic, Pol and Mogas Pladevall, Laia and Comajoan Cara, Mar{\c{c}}al and Gonzalez Ferrer, Jesus and Abante, Jordi and Mas Montserrat, Daniel and Haussler, David and Ioannidis, Alexander G.},
booktitle = {Advances in Neural Information Processing Systems (NeurIPS), Evaluations and Datasets Track},
year = {2026}
}
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