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BNG(audiology,5000,5)

active ARFF public domain Visibility: public Uploaded 23-02-2015 by Jan van Rijn
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70 features

class (target)	nominal	24 unique values 0 missing
age_gt_60	nominal	2 unique values 0 missing
air	nominal	5 unique values 0 missing
airBoneGap	nominal	2 unique values 0 missing
ar_c	nominal	3 unique values 0 missing
ar_u	nominal	3 unique values 0 missing
bone	nominal	4 unique values 0 missing
boneAbnormal	nominal	2 unique values 0 missing
bser	nominal	2 unique values 0 missing
history_buzzing	nominal	2 unique values 0 missing
history_dizziness	nominal	2 unique values 0 missing
history_fluctuating	nominal	2 unique values 0 missing
history_fullness	nominal	2 unique values 0 missing
history_heredity	nominal	2 unique values 0 missing
history_nausea	nominal	2 unique values 0 missing
history_noise	nominal	2 unique values 0 missing
history_recruitment	nominal	2 unique values 0 missing
history_ringing	nominal	2 unique values 0 missing
history_roaring	nominal	2 unique values 0 missing
history_vomiting	nominal	2 unique values 0 missing
late_wave_poor	nominal	2 unique values 0 missing
m_at_2k	nominal	2 unique values 0 missing
m_cond_lt_1k	nominal	2 unique values 0 missing
m_gt_1k	nominal	2 unique values 0 missing
m_m_gt_2k	nominal	2 unique values 0 missing
m_m_sn	nominal	2 unique values 0 missing
m_m_sn_gt_1k	nominal	2 unique values 0 missing
m_m_sn_gt_2k	nominal	2 unique values 0 missing
m_m_sn_gt_500	nominal	2 unique values 0 missing
m_p_sn_gt_2k	nominal	2 unique values 0 missing
m_s_gt_500	nominal	2 unique values 0 missing
m_s_sn	nominal	2 unique values 0 missing
m_s_sn_gt_1k	nominal	2 unique values 0 missing
m_s_sn_gt_2k	nominal	2 unique values 0 missing
m_s_sn_gt_3k	nominal	2 unique values 0 missing
m_s_sn_gt_4k	nominal	2 unique values 0 missing
m_sn_2_3k	nominal	2 unique values 0 missing
m_sn_gt_1k	nominal	2 unique values 0 missing
m_sn_gt_2k	nominal	2 unique values 0 missing
m_sn_gt_3k	nominal	2 unique values 0 missing
m_sn_gt_4k	nominal	2 unique values 0 missing
m_sn_gt_500	nominal	2 unique values 0 missing
m_sn_gt_6k	nominal	2 unique values 0 missing
m_sn_lt_1k	nominal	2 unique values 0 missing
m_sn_lt_2k	nominal	2 unique values 0 missing
m_sn_lt_3k	nominal	2 unique values 0 missing
middle_wave_poor	nominal	2 unique values 0 missing
mod_gt_4k	nominal	2 unique values 0 missing
mod_mixed	nominal	2 unique values 0 missing
mod_s_mixed	nominal	2 unique values 0 missing
mod_s_sn_gt_500	nominal	2 unique values 0 missing
mod_sn	nominal	2 unique values 0 missing
mod_sn_gt_1k	nominal	2 unique values 0 missing
mod_sn_gt_2k	nominal	2 unique values 0 missing
mod_sn_gt_3k	nominal	2 unique values 0 missing
mod_sn_gt_4k	nominal	2 unique values 0 missing
mod_sn_gt_500	nominal	2 unique values 0 missing
notch_4k	nominal	2 unique values 0 missing
notch_at_4k	nominal	2 unique values 0 missing
o_ar_c	nominal	3 unique values 0 missing
o_ar_u	nominal	3 unique values 0 missing
s_sn_gt_1k	nominal	2 unique values 0 missing
s_sn_gt_2k	nominal	2 unique values 0 missing
s_sn_gt_4k	nominal	2 unique values 0 missing
speech	nominal	6 unique values 0 missing
static_normal	nominal	2 unique values 0 missing
tymp	nominal	5 unique values 0 missing
viith_nerve_signs	nominal	2 unique values 0 missing
wave_V_delayed	nominal	2 unique values 0 missing
waveform_ItoV_prolonged	nominal	2 unique values 0 missing

Show all 70 features

19 properties

NumberOfInstances

1000000

Number of instances (rows) of the dataset.

NumberOfFeatures

Number of attributes (columns) of the dataset.

NumberOfClasses

Number of distinct values of the target attribute (if it is nominal).

NumberOfMissingValues

Number of missing values in the dataset.

NumberOfInstancesWithMissingValues

Number of instances with at least one value missing.

NumberOfNumericFeatures

Number of numeric attributes.

NumberOfSymbolicFeatures

Number of nominal attributes.

PercentageOfInstancesWithMissingValues

Percentage of instances having missing values.

PercentageOfMissingValues

Percentage of missing values.

AutoCorrelation

0.13

Average class difference between consecutive instances.

PercentageOfNumericFeatures

Percentage of numeric attributes.

Dimensionality

Number of attributes divided by the number of instances.

PercentageOfSymbolicFeatures

100

Percentage of nominal attributes.

MajorityClassPercentage

24.14

Percentage of instances belonging to the most frequent class.

MajorityClassSize

241431

Number of instances belonging to the most frequent class.

MinorityClassPercentage

0.61

Percentage of instances belonging to the least frequent class.

MinorityClassSize

6126

Number of instances belonging to the least frequent class.

NumberOfBinaryFeatures

Number of binary attributes.

PercentageOfBinaryFeatures

87.14

Percentage of binary attributes.

Show all 19 properties

22 tasks

Supervised Classification on BNG(audiology,5000,5)

0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: precision - target_feature: class

Supervised Classification on BNG(audiology,5000,5)

0 runs - estimation_procedure: 33% Holdout set - target_feature: class

Learning Curve on BNG(audiology,5000,5)

0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class

Learning Curve on BNG(audiology,5000,5)

0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class

Learning Curve on BNG(audiology,5000,5)

0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class

Learning Curve on BNG(audiology,5000,5)

0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class

Learning Curve on BNG(audiology,5000,5)

0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class

Learning Curve on BNG(audiology,5000,5)

0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class

Learning Curve on BNG(audiology,5000,5)

0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class

Learning Curve on BNG(audiology,5000,5)

0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class

Supervised Data Stream Classification on BNG(audiology,5000,5)

30 runs - estimation_procedure: Interleaved Test then Train - target_feature: class

Clustering on BNG(audiology,5000,5)