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APSFailure

active ARFF Public Domain (CC0) Visibility: public Uploaded 15-08-2018 by Pieter Gijsbers
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This is the dataset used for the 2016 IDA Industrial Challenge, courtesy of Scania. For a full description, see http://archive.ics.uci.edu/ml/datasets/IDA2016Challenge . This dataset contains both the train and test set provided. The first 60000 samples are the train set, and the last 16000 samples are the test set. Data was published under the GNU GPL v3 license.

171 features

class (target)	nominal	2 unique values 0 missing
aa_000	numeric	25211 unique values 0 missing
ab_000	numeric	30 unique values 58692 missing
ac_000	numeric	2229 unique values 4261 missing
ad_000	numeric	2027 unique values 18842 missing
ae_000	numeric	355 unique values 3190 missing
af_000	numeric	458 unique values 3190 missing
ag_000	numeric	198 unique values 860 missing
ag_001	numeric	795 unique values 860 missing
ag_002	numeric	2952 unique values 860 missing
ag_003	numeric	9383 unique values 860 missing
ag_004	numeric	26854 unique values 860 missing
ag_005	numeric	48327 unique values 860 missing
ag_006	numeric	48480 unique values 860 missing
ag_007	numeric	38289 unique values 860 missing
ag_008	numeric	21563 unique values 860 missing
ag_009	numeric	5923 unique values 860 missing
ah_000	numeric	52008 unique values 820 missing
ai_000	numeric	4804 unique values 792 missing
aj_000	numeric	1031 unique values 792 missing
ak_000	numeric	194 unique values 5598 missing
al_000	numeric	10456 unique values 811 missing
am_0	numeric	12214 unique values 792 missing
an_000	numeric	57987 unique values 811 missing
ao_000	numeric	57386 unique values 751 missing
ap_000	numeric	53131 unique values 811 missing
aq_000	numeric	41140 unique values 751 missing
ar_000	numeric	72 unique values 3487 missing
as_000	numeric	30 unique values 792 missing
at_000	numeric	4025 unique values 792 missing
au_000	numeric	71 unique values 792 missing
av_000	numeric	4220 unique values 3188 missing
ax_000	numeric	2415 unique values 3189 missing
ay_000	numeric	575 unique values 863 missing
ay_001	numeric	1110 unique values 863 missing
ay_002	numeric	1194 unique values 863 missing
ay_003	numeric	1249 unique values 863 missing
ay_004	numeric	2126 unique values 863 missing
ay_005	numeric	22880 unique values 863 missing
ay_006	numeric	41538 unique values 863 missing
ay_007	numeric	46022 unique values 863 missing
ay_008	numeric	44763 unique values 863 missing
ay_009	numeric	568 unique values 863 missing
az_000	numeric	10290 unique values 863 missing
az_001	numeric	8287 unique values 863 missing
az_002	numeric	10236 unique values 863 missing
az_003	numeric	24771 unique values 863 missing
az_004	numeric	40463 unique values 863 missing
az_005	numeric	53355 unique values 863 missing
az_006	numeric	14147 unique values 863 missing
az_007	numeric	4563 unique values 863 missing
az_008	numeric	1453 unique values 863 missing
az_009	numeric	386 unique values 863 missing
ba_000	numeric	53546 unique values 881 missing
ba_001	numeric	47871 unique values 881 missing
ba_002	numeric	42462 unique values 881 missing
ba_003	numeric	38700 unique values 881 missing
ba_004	numeric	36076 unique values 881 missing
ba_005	numeric	34937 unique values 881 missing
ba_006	numeric	34658 unique values 881 missing
ba_007	numeric	29876 unique values 881 missing
ba_008	numeric	13925 unique values 881 missing
ba_009	numeric	8088 unique values 881 missing
bb_000	numeric	59705 unique values 820 missing
bc_000	numeric	3122 unique values 3489 missing
bd_000	numeric	3944 unique values 3491 missing
be_000	numeric	4367 unique values 3193 missing
bf_000	numeric	1219 unique values 3189 missing
bg_000	numeric	52012 unique values 811 missing
bh_000	numeric	29068 unique values 811 missing
bi_000	numeric	49750 unique values 751 missing
bj_000	numeric	45121 unique values 751 missing
bk_000	numeric	14029 unique values 29128 missing
bl_000	numeric	13085 unique values 34503 missing
bm_000	numeric	10254 unique values 50095 missing
bn_000	numeric	8216 unique values 55722 missing
bo_000	numeric	6828 unique values 58709 missing
bp_000	numeric	5863 unique values 60461 missing
bq_000	numeric	5116 unique values 61703 missing
br_000	numeric	4607 unique values 62393 missing
bs_000	numeric	13714 unique values 928 missing
bt_000	numeric	54523 unique values 195 missing
bu_000	numeric	59653 unique values 881 missing
bv_000	numeric	59649 unique values 881 missing
bx_000	numeric	66034 unique values 4123 missing
by_000	numeric	25856 unique values 580 missing
bz_000	numeric	19260 unique values 3486 missing
ca_000	numeric	31826 unique values 5562 missing
cb_000	numeric	33989 unique values 928 missing
cc_000	numeric	52485 unique values 4120 missing
cd_000	numeric	1 unique values 861 missing
ce_000	numeric	25505 unique values 3190 missing
cf_000	numeric	583 unique values 18842 missing
cg_000	numeric	716 unique values 18842 missing
ch_000	numeric	2 unique values 18842 missing
ci_000	numeric	55003 unique values 424 missing
cj_000	numeric	9091 unique values 424 missing
ck_000	numeric	53627 unique values 424 missing
cl_000	numeric	1089 unique values 12012 missing
cm_000	numeric	2346 unique values 12455 missing
cn_000	numeric	1873 unique values 881 missing
cn_001	numeric	6456 unique values 881 missing
cn_002	numeric	17134 unique values 881 missing
cn_003	numeric	39883 unique values 881 missing
cn_004	numeric	50096 unique values 881 missing
cn_005	numeric	46037 unique values 881 missing
cn_006	numeric	38608 unique values 881 missing
cn_007	numeric	25025 unique values 881 missing
cn_008	numeric	11139 unique values 881 missing
cn_009	numeric	3430 unique values 881 missing
co_000	numeric	2045 unique values 18842 missing
cp_000	numeric	2569 unique values 3487 missing
cq_000	numeric	59651 unique values 881 missing
cr_000	numeric	86 unique values 58692 missing
cs_000	numeric	10172 unique values 858 missing
cs_001	numeric	3714 unique values 858 missing
cs_002	numeric	33134 unique values 858 missing
cs_003	numeric	41631 unique values 858 missing
cs_004	numeric	40803 unique values 858 missing
cs_005	numeric	50808 unique values 858 missing
cs_006	numeric	48557 unique values 858 missing
cs_007	numeric	18939 unique values 858 missing
cs_008	numeric	820 unique values 858 missing
cs_009	numeric	64 unique values 858 missing
ct_000	numeric	2824 unique values 17526 missing
cu_000	numeric	3818 unique values 17526 missing
cv_000	numeric	38941 unique values 17526 missing
cx_000	numeric	29452 unique values 17526 missing
cy_000	numeric	836 unique values 17526 missing
cz_000	numeric	12163 unique values 17526 missing
da_000	numeric	290 unique values 17526 missing
db_000	numeric	149 unique values 17526 missing
dc_000	numeric	39278 unique values 17526 missing
dd_000	numeric	7226 unique values 3191 missing
de_000	numeric	2087 unique values 3488 missing
df_000	numeric	466 unique values 5102 missing
dg_000	numeric	1620 unique values 5102 missing
dh_000	numeric	1195 unique values 5102 missing
di_000	numeric	6670 unique values 5100 missing
dj_000	numeric	80 unique values 5101 missing
dk_000	numeric	313 unique values 5101 missing
dl_000	numeric	217 unique values 5102 missing
dm_000	numeric	278 unique values 5103 missing
dn_000	numeric	23935 unique values 881 missing
do_000	numeric	23340 unique values 3488 missing
dp_000	numeric	12599 unique values 3490 missing
dq_000	numeric	9587 unique values 3490 missing
dr_000	numeric	7878 unique values 3490 missing
ds_000	numeric	30563 unique values 3491 missing
dt_000	numeric	17596 unique values 3491 missing
du_000	numeric	33450 unique values 3490 missing
dv_000	numeric	35505 unique values 3490 missing
dx_000	numeric	18079 unique values 3487 missing
dy_000	numeric	7342 unique values 3488 missing
dz_000	numeric	51 unique values 3485 missing
ea_000	numeric	141 unique values 3485 missing
eb_000	numeric	33325 unique values 5101 missing
ec_00	numeric	36263 unique values 12883 missing
ed_000	numeric	4314 unique values 12012 missing
ee_000	numeric	49556 unique values 863 missing
ee_001	numeric	45032 unique values 863 missing
ee_002	numeric	40696 unique values 863 missing
ee_003	numeric	37291 unique values 863 missing
ee_004	numeric	41657 unique values 863 missing
ee_005	numeric	43051 unique values 863 missing
ee_006	numeric	37560 unique values 863 missing
ee_007	numeric	35859 unique values 863 missing
ee_008	numeric	28412 unique values 863 missing
ee_009	numeric	10947 unique values 863 missing
ef_000	numeric	30 unique values 3486 missing
eg_000	numeric	55 unique values 3485 missing

Show first 100 features

62 properties

NumberOfInstances

76000

Number of instances (rows) of the dataset.

NumberOfFeatures

171

Number of attributes (columns) of the dataset.

NumberOfClasses

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

NumberOfMissingValues

1078695

Number of missing values in the dataset.

NumberOfInstancesWithMissingValues

75244

Number of instances with at least one value missing.

NumberOfNumericFeatures

170

Number of numeric attributes.

NumberOfSymbolicFeatures

Number of nominal attributes.

PercentageOfSymbolicFeatures

0.58

Percentage of nominal attributes.

Quartile3MutualInformation

Third quartile of mutual information between the nominal attributes and the target attribute.

MaxNominalAttDistinctValues

The maximum number of distinct values among attributes of the nominal type.

MinSkewnessOfNumericAtts

0.43

Minimum skewness among attributes of the numeric type.

Quartile1AttributeEntropy

First quartile of entropy among attributes.

Quartile3SkewnessOfNumericAtts

56.9

Third quartile of skewness among attributes of the numeric type.

MaxSkewnessOfNumericAtts

239.08

Maximum skewness among attributes of the numeric type.

MinStdDevOfNumericAtts

Minimum standard deviation of attributes of the numeric type.

Quartile1KurtosisOfNumericAtts

146.3

First quartile of kurtosis among attributes of the numeric type.

Quartile3StdDevOfNumericAtts

1748705.19

Third quartile of standard deviation of attributes of the numeric type.

MaxStdDevOfNumericAtts

795252963.78

Maximum standard deviation of attributes of the numeric type.

MinorityClassPercentage

1.81

Percentage of instances belonging to the least frequent class.

Quartile1MeansOfNumericAtts

2423.94

First quartile of means among attributes of the numeric type.

StdvNominalAttDistinctValues

Standard deviation of the number of distinct values among attributes of the nominal type.

MeanAttributeEntropy

Average entropy of the attributes.

MinorityClassSize

1375

Number of instances belonging to the least frequent class.

Quartile1MutualInformation

First quartile of mutual information between the nominal attributes and the target attribute.

MeanKurtosisOfNumericAtts

5752

Mean kurtosis among attributes of the numeric type.

NumberOfBinaryFeatures

Number of binary attributes.

Quartile1SkewnessOfNumericAtts

9.36

First quartile of skewness among attributes of the numeric type.

MeanMeansOfNumericAtts

2695276.09

Mean of means among attributes of the numeric type.

Quartile1StdDevOfNumericAtts

36212.07

First quartile of standard deviation of attributes of the numeric type.

AutoCorrelation

0.96

Average class difference between consecutive instances.

MeanMutualInformation

Average mutual information between the nominal attributes and the target attribute.

Quartile2AttributeEntropy

Second quartile (Median) of entropy among attributes.

ClassEntropy

0.13

Entropy of the target attribute values.

MeanNoiseToSignalRatio

An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.

Quartile2KurtosisOfNumericAtts

740.07

Second quartile (Median) of kurtosis among attributes of the numeric type.

Dimensionality

Number of attributes divided by the number of instances.

MeanNominalAttDistinctValues

Average number of distinct values among the attributes of the nominal type.

Quartile2MeansOfNumericAtts

64502.77

Second quartile (Median) of means among attributes of the numeric type.

EquivalentNumberOfAtts

Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.

MeanSkewnessOfNumericAtts

43.85

Mean skewness among attributes of the numeric type.

Quartile2MutualInformation

Second quartile (Median) of mutual information between the nominal attributes and the target attribute.

MajorityClassPercentage

98.19

Percentage of instances belonging to the most frequent class.

MeanStdDevOfNumericAtts

7541433.7

Mean standard deviation of attributes of the numeric type.

Quartile2SkewnessOfNumericAtts

19.52

Second quartile (Median) of skewness among attributes of the numeric type.

MajorityClassSize

74625

Number of instances belonging to the most frequent class.

MinAttributeEntropy

Minimal entropy among attributes.

Quartile2StdDevOfNumericAtts

418175.92

Second quartile (Median) of standard deviation of attributes of the numeric type.

MaxAttributeEntropy

Maximum entropy among attributes.

MinKurtosisOfNumericAtts

-1.63

Minimum kurtosis among attributes of the numeric type.

PercentageOfBinaryFeatures

0.58

Percentage of binary attributes.

Quartile3AttributeEntropy

Third quartile of entropy among attributes.

MaxKurtosisOfNumericAtts

57237.51

Maximum kurtosis among attributes of the numeric type.

MinMeansOfNumericAtts

Minimum of means among attributes of the numeric type.

PercentageOfInstancesWithMissingValues

99.01

Percentage of instances having missing values.

Quartile3KurtosisOfNumericAtts

4910.62

Third quartile of kurtosis among attributes of the numeric type.

MaxMeansOfNumericAtts

356439779.88

Maximum of means among attributes of the numeric type.

MinMutualInformation

Minimal mutual information between the nominal attributes and the target attribute.

PercentageOfMissingValues

8.3

Percentage of missing values.

PercentageOfNumericFeatures

99.42

Percentage of numeric attributes.

Quartile3MeansOfNumericAtts

513404.33

Third quartile of means among attributes of the numeric type.

MaxMutualInformation

Maximum mutual information between the nominal attributes and the target attribute.

MinNominalAttDistinctValues

The minimal number of distinct values among attributes of the nominal type.

Show all 62 properties

19 tasks

Supervised Classification on APSFailure

7 runs - estimation_procedure: 10-fold Crossvalidation - target_feature: class

Supervised Classification on APSFailure

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

Supervised Classification on APSFailure

0 runs - estimation_procedure: 20% Holdout (Ordered) - target_feature: class

Supervised Classification on APSFailure

0 runs - estimation_procedure: 10 times 10-fold Crossvalidation - target_feature: class

Supervised Classification on APSFailure

0 runs - estimation_procedure: 4-fold Crossvalidation - target_feature: class

Learning Curve on APSFailure

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

Learning Curve on APSFailure

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

Learning Curve on APSFailure

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

Learning Curve on APSFailure

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

Supervised Data Stream Classification on APSFailure

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

Clustering on APSFailure