Data
ASP-POTASSCO-classification

ASP-POTASSCO-classification

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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

algorithm (target)nominal11 unique values
0 missing
instance_idstring1294 unique values
0 missing
repetitionnumeric1 unique values
0 missing
Frac_Neg_Bodynumeric684 unique values
16 missing
Frac_Pos_Bodynumeric720 unique values
16 missing
Frac_Unary_Rulesnumeric533 unique values
16 missing
Frac_Binary_Rulesnumeric879 unique values
16 missing
Frac_Ternary_Rulesnumeric908 unique values
16 missing
Frac_Integrity_Rulesnumeric715 unique values
16 missing
Tightnumeric2 unique values
16 missing
Problem_Variablesnumeric1124 unique values
16 missing
Free_Problem_Variablesnumeric1063 unique values
16 missing
Assigned_Problem_Variablesnumeric904 unique values
16 missing
Constraintsnumeric1169 unique values
16 missing
Constraints.Varsnumeric1028 unique values
16 missing
Created_Bodiesnumeric1104 unique values
16 missing
Program_Atomsnumeric1033 unique values
16 missing
SCCSnumeric52 unique values
16 missing
Nodes_in_Positive_BADGnumeric524 unique values
16 missing
Rulesnumeric1099 unique values
16 missing
Normal_Rulesnumeric1103 unique values
16 missing
Cardinality_Rulesnumeric379 unique values
16 missing
Choice_Rulesnumeric509 unique values
16 missing
Weight_Rulesnumeric32 unique values
16 missing
Frac_Normal_Rulesnumeric515 unique values
16 missing
Frac_Cardinality_Rulesnumeric330 unique values
16 missing
Frac_Choice_Rulesnumeric434 unique values
16 missing
Frac_Weight_Rulesnumeric39 unique values
16 missing
Equivalencesnumeric1118 unique values
16 missing
Atom.Atom_Equivalencesnumeric933 unique values
16 missing
Body.Body_Equivalencesnumeric775 unique values
16 missing
Other_Equivalencesnumeric1103 unique values
16 missing
Frac_Atom.Atom_Equivalencesnumeric815 unique values
16 missing
Frac_Body.Body_Equivalencesnumeric635 unique values
16 missing
Frac_Other_Equivalencesnumeric864 unique values
16 missing
Binary_Constraintsnumeric1134 unique values
16 missing
Ternary_Constraintsnumeric1018 unique values
16 missing
Other_Constraintsnumeric930 unique values
16 missing
Frac_Binary_Constraintsnumeric748 unique values
16 missing
Frac_Ternary_Constraintsnumeric702 unique values
16 missing
Frac_Other_Constraintsnumeric651 unique values
16 missing
Choices.1numeric465 unique values
135 missing
Conflicts.Choices.1numeric612 unique values
135 missing
Avg_Conflict_Levels.1numeric971 unique values
135 missing
Avg_LBD_Levels.1numeric570 unique values
135 missing
Learnt_from_Conflict.1numeric6 unique values
135 missing
Learnt_from_Loop.1numeric251 unique values
135 missing
Frac_Learnt_from_Conflict.1numeric231 unique values
135 missing
Frac_Learnt_from_Loop.1numeric231 unique values
135 missing
Literals_in_Conflict_Nogoods.1numeric729 unique values
135 missing
Literals_in_Loop_Nogoods.1numeric304 unique values
135 missing
Frac_Literals_in_Conflict_Nogoods.1numeric319 unique values
135 missing
Frac_Literals_in_Loop_Nogoods.1numeric319 unique values
135 missing
Removed_Nogoods.1numeric1 unique values
135 missing
Learnt_Binary.1numeric31 unique values
135 missing
Learnt_Ternary.1numeric38 unique values
135 missing
Learnt_Others.1numeric279 unique values
135 missing
Frac_Removed_Nogood.1numeric1 unique values
135 missing
Frac_Learnt_Binary.1numeric174 unique values
135 missing
Frac_Learnt_Ternary.1numeric208 unique values
135 missing
Frac_Learnt_Others.1numeric246 unique values
135 missing
Skipped_Levels_while_Backjumping.1numeric389 unique values
135 missing
Avg_Skipped_Levels_while_Backjumping.1numeric513 unique values
135 missing
Longest_Backjumping.1numeric190 unique values
135 missing
Running_Avg_Conflictlevel.1numeric910 unique values
135 missing
Running_Avg_LBD.1numeric446 unique values
135 missing
Choices.2numeric644 unique values
162 missing
Conflicts.Choices.2numeric791 unique values
162 missing
Avg_Conflict_Levels.2numeric1037 unique values
162 missing
Avg_LBD_Levels.2numeric760 unique values
162 missing
Learnt_from_Conflict.2numeric12 unique values
162 missing
Learnt_from_Loop.2numeric281 unique values
162 missing
Frac_Learnt_from_Conflict.2numeric270 unique values
162 missing
Frac_Learnt_from_Loop.2numeric270 unique values
162 missing
Literals_in_Conflict_Nogoods.2numeric844 unique values
162 missing
Literals_in_Loop_Nogoods.2numeric333 unique values
162 missing
Frac_Literals_in_Conflict_Nogoods.2numeric355 unique values
162 missing
Frac_Literals_in_Loop_Nogoods.2numeric355 unique values
162 missing
Removed_Nogoods.2numeric1 unique values
162 missing
Learnt_Binary.2numeric50 unique values
162 missing
Learnt_Ternary.2numeric63 unique values
162 missing
Learnt_Others.2numeric315 unique values
162 missing
Frac_Removed_Nogood.2numeric1 unique values
162 missing
Frac_Learnt_Binary.2numeric299 unique values
162 missing
Frac_Learnt_Ternary.2numeric339 unique values
162 missing
Frac_Learnt_Others.2numeric422 unique values
162 missing
Skipped_Levels_while_Backjumping.2numeric573 unique values
162 missing
Avg_Skipped_Levels_while_Backjumping.2numeric794 unique values
162 missing
Longest_Backjumping.2numeric283 unique values
162 missing
Running_Avg_Conflictlevel.2numeric973 unique values
162 missing
Running_Avg_LBD.2numeric567 unique values
162 missing
Choices.3numeric717 unique values
191 missing
Conflicts.Choices.3numeric852 unique values
191 missing
Avg_Conflict_Levels.3numeric1029 unique values
191 missing
Avg_LBD_Levels.3numeric846 unique values
191 missing
Learnt_from_Conflict.3numeric12 unique values
191 missing
Learnt_from_Loop.3numeric290 unique values
191 missing
Frac_Learnt_from_Conflict.3numeric315 unique values
191 missing
Frac_Learnt_from_Loop.3numeric315 unique values
191 missing
Literals_in_Conflict_Nogoods.3numeric908 unique values
191 missing
Literals_in_Loop_Nogoods.3numeric364 unique values
191 missing
Frac_Literals_in_Conflict_Nogoods.3numeric373 unique values
191 missing
Frac_Literals_in_Loop_Nogoods.3numeric373 unique values
191 missing
Removed_Nogoods.3numeric2 unique values
191 missing
Learnt_Binary.3numeric61 unique values
191 missing
Learnt_Ternary.3numeric86 unique values
191 missing
Learnt_Others.3numeric329 unique values
191 missing
Frac_Removed_Nogood.3numeric2 unique values
191 missing
Frac_Learnt_Binary.3numeric383 unique values
191 missing
Frac_Learnt_Ternary.3numeric411 unique values
191 missing
Frac_Learnt_Others.3numeric517 unique values
191 missing
Skipped_Levels_while_Backjumping.3numeric670 unique values
191 missing
Avg_Skipped_Levels_while_Backjumping.3numeric888 unique values
191 missing
Longest_Backjumping.3numeric301 unique values
191 missing
Running_Avg_Conflictlevel.3numeric986 unique values
191 missing
Running_Avg_LBD.3numeric633 unique values
191 missing
Choices.4numeric777 unique values
218 missing
Conflicts.Choices.4numeric858 unique values
218 missing
Avg_Conflict_Levels.4numeric1015 unique values
218 missing
Avg_LBD_Levels.4numeric879 unique values
218 missing
Learnt_from_Conflict.4numeric10 unique values
218 missing
Learnt_from_Loop.4numeric295 unique values
218 missing
Frac_Learnt_from_Conflict.4numeric330 unique values
218 missing
Frac_Learnt_from_Loop.4numeric330 unique values
218 missing
Literals_in_Conflict_Nogoods.4numeric916 unique values
218 missing
Literals_in_Loop_Nogoods.4numeric373 unique values
218 missing
Frac_Literals_in_Conflict_Nogoods.4numeric379 unique values
218 missing
Frac_Literals_in_Loop_Nogoods.4numeric379 unique values
218 missing
Removed_Nogoods.4numeric6 unique values
218 missing
Learnt_Binary.4numeric74 unique values
218 missing
Learnt_Ternary.4numeric106 unique values
218 missing
Learnt_Others.4numeric344 unique values
218 missing
Frac_Removed_Nogood.4numeric12 unique values
218 missing
Frac_Learnt_Binary.4numeric434 unique values
218 missing
Frac_Learnt_Ternary.4numeric472 unique values
218 missing
Frac_Learnt_Others.4numeric572 unique values
218 missing
Skipped_Levels_while_Backjumping.4numeric712 unique values
218 missing
Avg_Skipped_Levels_while_Backjumping.4numeric919 unique values
218 missing
Longest_Backjumping.4numeric306 unique values
218 missing
Running_Avg_Conflictlevel.4numeric958 unique values
218 missing
Running_Avg_LBD.4numeric576 unique values
218 missing
runtimenumeric1250 unique values
0 missing
runstatusnominal2 unique values
0 missing

62 properties

1294
Number of instances (rows) of the dataset.
143
Number of attributes (columns) of the dataset.
11
Number of distinct values of the target attribute (if it is nominal).
18258
Number of missing values in the dataset.
218
Number of instances with at least one value missing.
140
Number of numeric attributes.
2
Number of nominal attributes.
762.85
Third quartile of means among attributes of the numeric type.
0.16
Maximum mutual information between the nominal attributes and the target attribute.
2
The minimal number of distinct values among attributes of the nominal type.
97.9
Percentage of numeric attributes.
0.16
Third quartile of mutual information between the nominal attributes and the target attribute.
11
The maximum number of distinct values among attributes of the nominal type.
-10.96
Minimum skewness among attributes of the numeric type.
1.4
Percentage of nominal attributes.
7.42
Third quartile of skewness among attributes of the numeric type.
33.21
Maximum skewness among attributes of the numeric type.
0
Minimum standard deviation of attributes of the numeric type.
0.34
First quartile of entropy among attributes.
2245.72
Third quartile of standard deviation of attributes of the numeric type.
1208575.32
Maximum standard deviation of attributes of the numeric type.
1.62
Percentage of instances belonging to the least frequent class.
2.51
First quartile of kurtosis among attributes of the numeric type.
6.36
Standard deviation of the number of distinct values among attributes of the nominal type.
0.34
Average entropy of the attributes.
21
Number of instances belonging to the least frequent class.
0.25
First quartile of means among attributes of the numeric type.
76.93
Mean kurtosis among attributes of the numeric type.
0
Number of binary attributes.
0.16
First quartile of mutual information between the nominal attributes and the target attribute.
14982.64
Mean of means among attributes of the numeric type.
1.32
First quartile of skewness among attributes of the numeric type.
0.34
Average class difference between consecutive instances.
0.16
Average mutual information between the nominal attributes and the target attribute.
0.22
First quartile of standard deviation of attributes of the numeric type.
3.22
Entropy of the target attribute values.
1.12
An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.
0.34
Second quartile (Median) of entropy among attributes.
0.11
Number of attributes divided by the number of instances.
6.5
Average number of distinct values among the attributes of the nominal type.
25.91
Second quartile (Median) of kurtosis among attributes of the numeric type.
20.01
Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.
5.13
Mean skewness among attributes of the numeric type.
7.94
Second quartile (Median) of means among attributes of the numeric type.
19.94
Percentage of instances belonging to the most frequent class.
60181.79
Mean standard deviation of attributes of the numeric type.
0.16
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
258
Number of instances belonging to the most frequent class.
0.34
Minimal entropy among attributes.
4.4
Second quartile (Median) of skewness among attributes of the numeric type.
0.34
Maximum entropy among attributes.
-1.99
Minimum kurtosis among attributes of the numeric type.
0
Percentage of binary attributes.
10.66
Second quartile (Median) of standard deviation of attributes of the numeric type.
0.34
Third quartile of entropy among attributes.
1103
Maximum kurtosis among attributes of the numeric type.
0
Minimum of means among attributes of the numeric type.
16.85
Percentage of instances having missing values.
78.42
Third quartile of kurtosis among attributes of the numeric type.
247969.5
Maximum of means among attributes of the numeric type.
0.16
Minimal mutual information between the nominal attributes and the target attribute.
9.87
Percentage of missing values.

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0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: average_cost - target_feature: algorithm
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