Data
ASP-POTASSCO-regression

ASP-POTASSCO-regression

active ARFF Publicly available Visibility: public Uploaded 28-05-2019 by Martin Hoang
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  • Algorithm Selection Chemistry Machine Learning R
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Author: Marius Lindauer Date: 27.02.2014 These data set was generated for a publication about claspfolio 2.0, i.e., an algorithm selector for ASP. The algorithm portfolio of clasp (2.1.4) configuration is generated by the hydra method (see http://www.cs.ubc.ca/labs/beta/Projects/Hydra/) in combination with SMAC. To generate the features, I used claspre, a light-weight version of the ASP solver clasp, with static and dynamic features (4 restarts each after 32 conflicts).

143 features

runtime (target)numeric11624 unique values
0 missing
instance_idstring1294 unique values
0 missing
repetitionnumeric1 unique values
0 missing
Frac_Neg_Bodynumeric684 unique values
176 missing
Frac_Pos_Bodynumeric720 unique values
176 missing
Frac_Unary_Rulesnumeric533 unique values
176 missing
Frac_Binary_Rulesnumeric879 unique values
176 missing
Frac_Ternary_Rulesnumeric908 unique values
176 missing
Frac_Integrity_Rulesnumeric715 unique values
176 missing
Tightnumeric2 unique values
176 missing
Problem_Variablesnumeric1124 unique values
176 missing
Free_Problem_Variablesnumeric1063 unique values
176 missing
Assigned_Problem_Variablesnumeric904 unique values
176 missing
Constraintsnumeric1169 unique values
176 missing
Constraints.Varsnumeric1028 unique values
176 missing
Created_Bodiesnumeric1104 unique values
176 missing
Program_Atomsnumeric1033 unique values
176 missing
SCCSnumeric52 unique values
176 missing
Nodes_in_Positive_BADGnumeric524 unique values
176 missing
Rulesnumeric1099 unique values
176 missing
Normal_Rulesnumeric1103 unique values
176 missing
Cardinality_Rulesnumeric379 unique values
176 missing
Choice_Rulesnumeric509 unique values
176 missing
Weight_Rulesnumeric32 unique values
176 missing
Frac_Normal_Rulesnumeric515 unique values
176 missing
Frac_Cardinality_Rulesnumeric330 unique values
176 missing
Frac_Choice_Rulesnumeric434 unique values
176 missing
Frac_Weight_Rulesnumeric39 unique values
176 missing
Equivalencesnumeric1118 unique values
176 missing
Atom.Atom_Equivalencesnumeric933 unique values
176 missing
Body.Body_Equivalencesnumeric775 unique values
176 missing
Other_Equivalencesnumeric1103 unique values
176 missing
Frac_Atom.Atom_Equivalencesnumeric815 unique values
176 missing
Frac_Body.Body_Equivalencesnumeric635 unique values
176 missing
Frac_Other_Equivalencesnumeric864 unique values
176 missing
Binary_Constraintsnumeric1134 unique values
176 missing
Ternary_Constraintsnumeric1018 unique values
176 missing
Other_Constraintsnumeric930 unique values
176 missing
Frac_Binary_Constraintsnumeric748 unique values
176 missing
Frac_Ternary_Constraintsnumeric702 unique values
176 missing
Frac_Other_Constraintsnumeric651 unique values
176 missing
Choices.1numeric465 unique values
1485 missing
Conflicts.Choices.1numeric612 unique values
1485 missing
Avg_Conflict_Levels.1numeric971 unique values
1485 missing
Avg_LBD_Levels.1numeric570 unique values
1485 missing
Learnt_from_Conflict.1numeric6 unique values
1485 missing
Learnt_from_Loop.1numeric251 unique values
1485 missing
Frac_Learnt_from_Conflict.1numeric231 unique values
1485 missing
Frac_Learnt_from_Loop.1numeric231 unique values
1485 missing
Literals_in_Conflict_Nogoods.1numeric729 unique values
1485 missing
Literals_in_Loop_Nogoods.1numeric304 unique values
1485 missing
Frac_Literals_in_Conflict_Nogoods.1numeric319 unique values
1485 missing
Frac_Literals_in_Loop_Nogoods.1numeric319 unique values
1485 missing
Removed_Nogoods.1numeric1 unique values
1485 missing
Learnt_Binary.1numeric31 unique values
1485 missing
Learnt_Ternary.1numeric38 unique values
1485 missing
Learnt_Others.1numeric279 unique values
1485 missing
Frac_Removed_Nogood.1numeric1 unique values
1485 missing
Frac_Learnt_Binary.1numeric174 unique values
1485 missing
Frac_Learnt_Ternary.1numeric208 unique values
1485 missing
Frac_Learnt_Others.1numeric246 unique values
1485 missing
Skipped_Levels_while_Backjumping.1numeric389 unique values
1485 missing
Avg_Skipped_Levels_while_Backjumping.1numeric513 unique values
1485 missing
Longest_Backjumping.1numeric190 unique values
1485 missing
Running_Avg_Conflictlevel.1numeric910 unique values
1485 missing
Running_Avg_LBD.1numeric446 unique values
1485 missing
Choices.2numeric644 unique values
1782 missing
Conflicts.Choices.2numeric791 unique values
1782 missing
Avg_Conflict_Levels.2numeric1037 unique values
1782 missing
Avg_LBD_Levels.2numeric760 unique values
1782 missing
Learnt_from_Conflict.2numeric12 unique values
1782 missing
Learnt_from_Loop.2numeric281 unique values
1782 missing
Frac_Learnt_from_Conflict.2numeric270 unique values
1782 missing
Frac_Learnt_from_Loop.2numeric270 unique values
1782 missing
Literals_in_Conflict_Nogoods.2numeric844 unique values
1782 missing
Literals_in_Loop_Nogoods.2numeric333 unique values
1782 missing
Frac_Literals_in_Conflict_Nogoods.2numeric355 unique values
1782 missing
Frac_Literals_in_Loop_Nogoods.2numeric355 unique values
1782 missing
Removed_Nogoods.2numeric1 unique values
1782 missing
Learnt_Binary.2numeric50 unique values
1782 missing
Learnt_Ternary.2numeric63 unique values
1782 missing
Learnt_Others.2numeric315 unique values
1782 missing
Frac_Removed_Nogood.2numeric1 unique values
1782 missing
Frac_Learnt_Binary.2numeric299 unique values
1782 missing
Frac_Learnt_Ternary.2numeric339 unique values
1782 missing
Frac_Learnt_Others.2numeric422 unique values
1782 missing
Skipped_Levels_while_Backjumping.2numeric573 unique values
1782 missing
Avg_Skipped_Levels_while_Backjumping.2numeric794 unique values
1782 missing
Longest_Backjumping.2numeric283 unique values
1782 missing
Running_Avg_Conflictlevel.2numeric973 unique values
1782 missing
Running_Avg_LBD.2numeric567 unique values
1782 missing
Choices.3numeric717 unique values
2101 missing
Conflicts.Choices.3numeric852 unique values
2101 missing
Avg_Conflict_Levels.3numeric1029 unique values
2101 missing
Avg_LBD_Levels.3numeric846 unique values
2101 missing
Learnt_from_Conflict.3numeric12 unique values
2101 missing
Learnt_from_Loop.3numeric290 unique values
2101 missing
Frac_Learnt_from_Conflict.3numeric315 unique values
2101 missing
Frac_Learnt_from_Loop.3numeric315 unique values
2101 missing
Literals_in_Conflict_Nogoods.3numeric908 unique values
2101 missing
Literals_in_Loop_Nogoods.3numeric364 unique values
2101 missing
Frac_Literals_in_Conflict_Nogoods.3numeric373 unique values
2101 missing
Frac_Literals_in_Loop_Nogoods.3numeric373 unique values
2101 missing
Removed_Nogoods.3numeric2 unique values
2101 missing
Learnt_Binary.3numeric61 unique values
2101 missing
Learnt_Ternary.3numeric86 unique values
2101 missing
Learnt_Others.3numeric329 unique values
2101 missing
Frac_Removed_Nogood.3numeric2 unique values
2101 missing
Frac_Learnt_Binary.3numeric383 unique values
2101 missing
Frac_Learnt_Ternary.3numeric411 unique values
2101 missing
Frac_Learnt_Others.3numeric517 unique values
2101 missing
Skipped_Levels_while_Backjumping.3numeric670 unique values
2101 missing
Avg_Skipped_Levels_while_Backjumping.3numeric888 unique values
2101 missing
Longest_Backjumping.3numeric301 unique values
2101 missing
Running_Avg_Conflictlevel.3numeric986 unique values
2101 missing
Running_Avg_LBD.3numeric633 unique values
2101 missing
Choices.4numeric777 unique values
2398 missing
Conflicts.Choices.4numeric858 unique values
2398 missing
Avg_Conflict_Levels.4numeric1015 unique values
2398 missing
Avg_LBD_Levels.4numeric879 unique values
2398 missing
Learnt_from_Conflict.4numeric10 unique values
2398 missing
Learnt_from_Loop.4numeric295 unique values
2398 missing
Frac_Learnt_from_Conflict.4numeric330 unique values
2398 missing
Frac_Learnt_from_Loop.4numeric330 unique values
2398 missing
Literals_in_Conflict_Nogoods.4numeric916 unique values
2398 missing
Literals_in_Loop_Nogoods.4numeric373 unique values
2398 missing
Frac_Literals_in_Conflict_Nogoods.4numeric379 unique values
2398 missing
Frac_Literals_in_Loop_Nogoods.4numeric379 unique values
2398 missing
Removed_Nogoods.4numeric6 unique values
2398 missing
Learnt_Binary.4numeric74 unique values
2398 missing
Learnt_Ternary.4numeric106 unique values
2398 missing
Learnt_Others.4numeric344 unique values
2398 missing
Frac_Removed_Nogood.4numeric12 unique values
2398 missing
Frac_Learnt_Binary.4numeric434 unique values
2398 missing
Frac_Learnt_Ternary.4numeric472 unique values
2398 missing
Frac_Learnt_Others.4numeric572 unique values
2398 missing
Skipped_Levels_while_Backjumping.4numeric712 unique values
2398 missing
Avg_Skipped_Levels_while_Backjumping.4numeric919 unique values
2398 missing
Longest_Backjumping.4numeric306 unique values
2398 missing
Running_Avg_Conflictlevel.4numeric958 unique values
2398 missing
Running_Avg_LBD.4numeric576 unique values
2398 missing
algorithmnominal11 unique values
0 missing
runstatusnominal2 unique values
0 missing
Show first 100 features

62 properties

NumberOfInstances
14234
Number of instances (rows) of the dataset.
NumberOfFeatures
143
Number of attributes (columns) of the dataset.
NumberOfClasses
0
Number of distinct values of the target attribute (if it is nominal).
NumberOfMissingValues
200838
Number of missing values in the dataset.
NumberOfInstancesWithMissingValues
2398
Number of instances with at least one value missing.
NumberOfNumericFeatures
140
Number of numeric attributes.
NumberOfSymbolicFeatures
2
Number of nominal attributes.
ClassEntropy
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.
Quartile2AttributeEntropy
Second quartile (Median) of entropy among attributes.
Dimensionality
0.01
Number of attributes divided by the number of instances.
MeanNominalAttDistinctValues
6.5
Average number of distinct values among the attributes of the nominal type.
Quartile2KurtosisOfNumericAtts
25.8
Second quartile (Median) of kurtosis 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
5.11
Mean skewness among attributes of the numeric type.
Quartile2MeansOfNumericAtts
7.94
Second quartile (Median) of means among attributes of the numeric type.
MajorityClassPercentage
Percentage of instances belonging to the most frequent class.
MeanStdDevOfNumericAtts
60159.28
Mean standard deviation of attributes of the numeric type.
Quartile2MutualInformation
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
MajorityClassSize
Number of instances belonging to the most frequent class.
MinAttributeEntropy
Minimal entropy among attributes.
Quartile2SkewnessOfNumericAtts
4.4
Second quartile (Median) of skewness among attributes of the numeric type.
MaxAttributeEntropy
Maximum entropy among attributes.
MinKurtosisOfNumericAtts
-1.98
Minimum kurtosis among attributes of the numeric type.
PercentageOfBinaryFeatures
0
Percentage of binary attributes.
Quartile2StdDevOfNumericAtts
10.65
Second quartile (Median) of standard deviation of attributes of the numeric type.
MaxKurtosisOfNumericAtts
1098.45
Maximum kurtosis among attributes of the numeric type.
MinMeansOfNumericAtts
0
Minimum of means among attributes of the numeric type.
PercentageOfInstancesWithMissingValues
16.85
Percentage of instances having missing values.
Quartile3AttributeEntropy
Third quartile of entropy among attributes.
MaxMeansOfNumericAtts
247969.5
Maximum of means among attributes of the numeric type.
MinMutualInformation
Minimal mutual information between the nominal attributes and the target attribute.
PercentageOfMissingValues
9.87
Percentage of missing values.
Quartile3KurtosisOfNumericAtts
78.1
Third quartile of kurtosis among attributes of the numeric type.
MaxMutualInformation
Maximum mutual information between the nominal attributes and the target attribute.
MinNominalAttDistinctValues
2
The minimal number of distinct values among attributes of the nominal type.
PercentageOfNumericFeatures
97.9
Percentage of numeric attributes.
Quartile3MeansOfNumericAtts
762.85
Third quartile of means among attributes of the numeric type.
MaxNominalAttDistinctValues
11
The maximum number of distinct values among attributes of the nominal type.
MinSkewnessOfNumericAtts
-10.95
Minimum skewness among attributes of the numeric type.
PercentageOfSymbolicFeatures
1.4
Percentage of nominal attributes.
Quartile3MutualInformation
Third quartile of mutual information between the nominal attributes and the target attribute.
MaxSkewnessOfNumericAtts
33.17
Maximum skewness among attributes of the numeric type.
MinStdDevOfNumericAtts
0
Minimum standard deviation of attributes of the numeric type.
Quartile1AttributeEntropy
First quartile of entropy among attributes.
Quartile3SkewnessOfNumericAtts
7.41
Third quartile of skewness among attributes of the numeric type.
MaxStdDevOfNumericAtts
1208064.62
Maximum standard deviation of attributes of the numeric type.
MinorityClassPercentage
Percentage of instances belonging to the least frequent class.
Quartile1KurtosisOfNumericAtts
2.44
First quartile of kurtosis among attributes of the numeric type.
Quartile3StdDevOfNumericAtts
2244.79
Third quartile of standard deviation of attributes of the numeric type.
MeanAttributeEntropy
Average entropy of the attributes.
MinorityClassSize
Number of instances belonging to the least frequent class.
Quartile1MeansOfNumericAtts
0.25
First quartile of means among attributes of the numeric type.
StdvNominalAttDistinctValues
6.36
Standard deviation of the number of distinct values among attributes of the nominal type.
MeanKurtosisOfNumericAtts
76.57
Mean kurtosis among attributes of the numeric type.
NumberOfBinaryFeatures
0
Number of binary attributes.
Quartile1MutualInformation
First quartile of mutual information between the nominal attributes and the target attribute.
MeanMeansOfNumericAtts
14983.34
Mean of means among attributes of the numeric type.
Quartile1SkewnessOfNumericAtts
1.32
First quartile of skewness among attributes of the numeric type.
AutoCorrelation
-88.39
Average class difference between consecutive instances.
MeanMutualInformation
Average mutual information between the nominal attributes and the target attribute.
Quartile1StdDevOfNumericAtts
0.22
First quartile of standard deviation of attributes of the numeric type.
Show all 62 properties

9 tasks

Supervised Regression on ASP-POTASSCO-regression
0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: runtime
Clustering on ASP-POTASSCO-regression
0 runs - estimation_procedure: 50 times Clustering
Clustering on ASP-POTASSCO-regression
0 runs - estimation_procedure: 50 times Clustering
Clustering on ASP-POTASSCO-regression
0 runs - estimation_procedure: 50 times Clustering
Clustering on ASP-POTASSCO-regression
0 runs - estimation_procedure: 50 times Clustering
Clustering on ASP-POTASSCO-regression
0 runs - estimation_procedure: 50 times Clustering
Clustering on ASP-POTASSCO-regression
0 runs - estimation_procedure: 50 times Clustering
Clustering on ASP-POTASSCO-regression
0 runs - estimation_procedure: 50 times Clustering
Clustering on ASP-POTASSCO-regression
0 runs - estimation_procedure: 50 times Clustering
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