OpenML

JavaScript is required to properly view the contents of this page!

Explore
- Data
- Task
- Flow
- Run
- Study
- Task type
- Measure
- People
Help
Blog
Contact
Please cite us

SAT11-HAND-runtime-regression

active ARFF Publicly available Visibility: public Uploaded 23-07-2019 by Mia Rhodes
0 likes downloaded by 0 people , 0 total downloads 0 issues 0 downvotes

Issue	#Downvotes for this reason	By

Loading wiki

Help us complete this description Edit

source: http://www.cs.ubc.ca/labs/beta/Projects/SATzilla/ authors: L. Xu, F. Hutter, H. Hoos, K. Leyton-Brown translator in coseal format: M. Lindauer with the help of Alexandre Frechette the data do not distinguish between timeout, memout or crashes! the status file will only have ok or timeout! If features are "?", the instance was solved during feature computation. Although there is no necessary alignment and dependencies between the feature processing steps, the steps were executed in a fixed alignment. Therefore, all feature steps depend on the previous executed ones.

117 features

runtime (target)	numeric	1945 unique values 0 missing
nvarsOrig	numeric	221 unique values 0 missing
nclausesOrig	numeric	255 unique values 0 missing
nvars	numeric	221 unique values 0 missing
nclauses	numeric	282 unique values 0 missing
reducedVars	numeric	103 unique values 0 missing
reducedClauses	numeric	142 unique values 0 missing
vars_clauses_ratio	numeric	213 unique values 0 missing
POSNEG_RATIO_CLAUSE_mean	numeric	162 unique values 0 missing
POSNEG_RATIO_CLAUSE_coeff_variation	numeric	178 unique values 0 missing
POSNEG_RATIO_CLAUSE_min	numeric	34 unique values 0 missing
POSNEG_RATIO_CLAUSE_max	numeric	1 unique values 0 missing
POSNEG_RATIO_CLAUSE_entropy	numeric	205 unique values 0 missing
VCG_CLAUSE_mean	numeric	168 unique values 0 missing
VCG_CLAUSE_coeff_variation	numeric	258 unique values 0 missing
VCG_CLAUSE_min	numeric	129 unique values 0 missing
VCG_CLAUSE_max	numeric	189 unique values 0 missing
VCG_CLAUSE_entropy	numeric	256 unique values 0 missing
UNARY	numeric	1 unique values 0 missing
BINARYp	numeric	201 unique values 0 missing
TRINARYp	numeric	229 unique values 0 missing
VCG_VAR_mean	numeric	168 unique values 0 missing
VCG_VAR_coeff_variation	numeric	207 unique values 0 missing
VCG_VAR_min	numeric	151 unique values 0 missing
VCG_VAR_max	numeric	202 unique values 0 missing
VCG_VAR_entropy	numeric	222 unique values 0 missing
POSNEG_RATIO_VAR_mean	numeric	252 unique values 0 missing
POSNEG_RATIO_VAR_stdev	numeric	193 unique values 0 missing
POSNEG_RATIO_VAR_min	numeric	154 unique values 0 missing
POSNEG_RATIO_VAR_max	numeric	208 unique values 0 missing
POSNEG_RATIO_VAR_entropy	numeric	215 unique values 0 missing
HORNY_VAR_mean	numeric	114 unique values 0 missing
HORNY_VAR_coeff_variation	numeric	229 unique values 0 missing
HORNY_VAR_min	numeric	82 unique values 0 missing
HORNY_VAR_max	numeric	152 unique values 0 missing
HORNY_VAR_entropy	numeric	239 unique values 0 missing
horn_clauses_fraction	numeric	266 unique values 0 missing
VG_mean	numeric	169 unique values 0 missing
VG_coeff_variation	numeric	201 unique values 0 missing
VG_min	numeric	156 unique values 0 missing
VG_max	numeric	189 unique values 0 missing
CG_mean	numeric	106 unique values 2715 missing
CG_coeff_variation	numeric	105 unique values 2715 missing
CG_min	numeric	89 unique values 2715 missing
CG_max	numeric	112 unique values 2715 missing
CG_entropy	numeric	104 unique values 2715 missing
cluster_coeff_mean	numeric	103 unique values 2715 missing
cluster_coeff_coeff_variation	numeric	105 unique values 2715 missing
cluster_coeff_min	numeric	84 unique values 2715 missing
cluster_coeff_max	numeric	70 unique values 2715 missing
cluster_coeff_entropy	numeric	103 unique values 2715 missing
DIAMETER_mean	numeric	152 unique values 0 missing
DIAMETER_coeff_variation	numeric	144 unique values 0 missing
DIAMETER_min	numeric	12 unique values 0 missing
DIAMETER_max	numeric	17 unique values 0 missing
DIAMETER_entropy	numeric	146 unique values 0 missing
cl_num_mean	numeric	274 unique values 0 missing
cl_num_coeff_variation	numeric	255 unique values 0 missing
cl_num_min	numeric	246 unique values 0 missing
cl_num_max	numeric	268 unique values 0 missing
cl_num_q90	numeric	267 unique values 0 missing
cl_num_q10	numeric	253 unique values 0 missing
cl_num_q75	numeric	261 unique values 0 missing
cl_num_q25	numeric	262 unique values 0 missing
cl_num_q50	numeric	266 unique values 0 missing
cl_size_mean	numeric	277 unique values 0 missing
cl_size_coeff_variation	numeric	254 unique values 0 missing
cl_size_min	numeric	277 unique values 0 missing
cl_size_max	numeric	277 unique values 0 missing
cl_size_q90	numeric	277 unique values 0 missing
cl_size_q10	numeric	277 unique values 0 missing
cl_size_q75	numeric	277 unique values 0 missing
cl_size_q25	numeric	277 unique values 0 missing
cl_size_q50	numeric	276 unique values 0 missing
SP_bias_mean	numeric	266 unique values 0 missing
SP_bias_coeff_variation	numeric	214 unique values 0 missing
SP_bias_min	numeric	208 unique values 0 missing
SP_bias_max	numeric	239 unique values 0 missing
SP_bias_q90	numeric	261 unique values 0 missing
SP_bias_q10	numeric	248 unique values 0 missing
SP_bias_q75	numeric	262 unique values 0 missing
SP_bias_q25	numeric	250 unique values 0 missing
SP_bias_q50	numeric	260 unique values 0 missing
SP_unconstraint_mean	numeric	156 unique values 0 missing
SP_unconstraint_coeff_variation	numeric	248 unique values 0 missing
SP_unconstraint_min	numeric	101 unique values 0 missing
SP_unconstraint_max	numeric	156 unique values 0 missing
SP_unconstraint_q90	numeric	151 unique values 0 missing
SP_unconstraint_q10	numeric	130 unique values 0 missing
SP_unconstraint_q75	numeric	145 unique values 0 missing
SP_unconstraint_q25	numeric	139 unique values 0 missing
SP_unconstraint_q50	numeric	148 unique values 0 missing
saps_BestSolution_Mean	numeric	291 unique values 0 missing
saps_BestSolution_CoeffVariance	numeric	283 unique values 0 missing
saps_FirstLocalMinStep_Mean	numeric	296 unique values 0 missing
saps_FirstLocalMinStep_CoeffVariance	numeric	272 unique values 0 missing
saps_FirstLocalMinStep_Median	numeric	225 unique values 0 missing
saps_FirstLocalMinStep_Q10	numeric	218 unique values 0 missing
saps_FirstLocalMinStep_Q90	numeric	232 unique values 0 missing
saps_BestAvgImprovement_Mean	numeric	296 unique values 0 missing
saps_BestAvgImprovement_CoeffVariance	numeric	276 unique values 0 missing
saps_FirstLocalMinRatio_Mean	numeric	225 unique values 0 missing
saps_FirstLocalMinRatio_CoeffVariance	numeric	235 unique values 0 missing
gsat_BestSolution_Mean	numeric	283 unique values 0 missing
gsat_BestSolution_CoeffVariance	numeric	278 unique values 0 missing
gsat_FirstLocalMinStep_Mean	numeric	296 unique values 0 missing
gsat_FirstLocalMinStep_CoeffVariance	numeric	268 unique values 0 missing
gsat_FirstLocalMinStep_Median	numeric	220 unique values 0 missing
gsat_FirstLocalMinStep_Q10	numeric	219 unique values 0 missing
gsat_FirstLocalMinStep_Q90	numeric	224 unique values 0 missing
gsat_BestAvgImprovement_Mean	numeric	296 unique values 0 missing
gsat_BestAvgImprovement_CoeffVariance	numeric	287 unique values 0 missing
gsat_FirstLocalMinRatio_Mean	numeric	210 unique values 0 missing
gsat_FirstLocalMinRatio_CoeffVariance	numeric	207 unique values 0 missing
lobjois_mean_depth_over_vars	numeric	287 unique values 0 missing
lobjois_log_num_nodes_over_vars	numeric	279 unique values 0 missing
algorithm	nominal	15 unique values 0 missing
row_id (row identifier)	string	4440 unique values 0 missing

Show first 100 features

62 properties

NumberOfInstances

4440

Number of instances (rows) of the dataset.

NumberOfFeatures

117

Number of attributes (columns) of the dataset.

NumberOfClasses

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

NumberOfMissingValues

27150

Number of missing values in the dataset.

NumberOfInstancesWithMissingValues

2715

Number of instances with at least one value missing.

NumberOfNumericFeatures

116

Number of numeric attributes.

NumberOfSymbolicFeatures

Number of nominal attributes.

Quartile1MutualInformation

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

PercentageOfBinaryFeatures

Percentage of binary attributes.

PercentageOfInstancesWithMissingValues

61.15

Percentage of instances having missing values.

PercentageOfMissingValues

5.23

Percentage of missing values.

PercentageOfNumericFeatures

99.15

Percentage of numeric attributes.

PercentageOfSymbolicFeatures

0.85

Percentage of nominal attributes.

Quartile1AttributeEntropy

First quartile of entropy among attributes.

Quartile1KurtosisOfNumericAtts

-0.69

First quartile of kurtosis among attributes of the numeric type.

Quartile1MeansOfNumericAtts

0.11

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.

Quartile1SkewnessOfNumericAtts

0.5

First quartile of skewness among attributes of the numeric type.

Quartile1StdDevOfNumericAtts

0.14

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

Quartile2AttributeEntropy

Second quartile (Median) of entropy among attributes.

Quartile2KurtosisOfNumericAtts

6.14

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

Quartile2MeansOfNumericAtts

0.59

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

Quartile2MutualInformation

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

Quartile2SkewnessOfNumericAtts

2.04

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

Quartile2StdDevOfNumericAtts

0.44

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

Quartile3AttributeEntropy

Third quartile of entropy among attributes.

Quartile3KurtosisOfNumericAtts

23.72

Third quartile of kurtosis among attributes of the numeric type.

Quartile3MeansOfNumericAtts

42.18

Third quartile of means among attributes of the numeric type.

Quartile3MutualInformation

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

Quartile3SkewnessOfNumericAtts

4.6

Third quartile of skewness among attributes of the numeric type.

Quartile3StdDevOfNumericAtts

40.48

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

AutoCorrelation

-761.72

Average class difference between consecutive instances.

MeanMeansOfNumericAtts

1943.31

Mean of means among attributes of the numeric type.

ClassEntropy

Entropy of the target attribute values.

Dimensionality

0.03

Number of attributes divided by the number of instances.

EquivalentNumberOfAtts

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

MajorityClassPercentage

Percentage of instances belonging to the most frequent class.

MajorityClassSize

Number of instances belonging to the most frequent class.

MaxAttributeEntropy

Maximum entropy among attributes.

MaxKurtosisOfNumericAtts

282.07

Maximum kurtosis among attributes of the numeric type.

MaxMeansOfNumericAtts

99613.75

Maximum of means among attributes of the numeric type.

MaxMutualInformation

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

MaxNominalAttDistinctValues

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

MaxSkewnessOfNumericAtts

16.72

Maximum skewness among attributes of the numeric type.

MaxStdDevOfNumericAtts

197381.95

Maximum standard deviation of attributes of the numeric type.

MeanAttributeEntropy

Average entropy of the attributes.

MeanKurtosisOfNumericAtts

27.6

Mean kurtosis among attributes of the numeric type.

NumberOfBinaryFeatures

Number of binary attributes.

MeanMutualInformation

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

MeanNoiseToSignalRatio

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

MeanNominalAttDistinctValues

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

MeanSkewnessOfNumericAtts

3.15

Mean skewness among attributes of the numeric type.

MeanStdDevOfNumericAtts

3729.09

Mean standard deviation of attributes of the numeric type.

MinAttributeEntropy

Minimal entropy among attributes.

MinKurtosisOfNumericAtts

-1.92