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MIP-2016-PAR10-classification

active ARFF Publicly available Visibility: public Uploaded 20-06-2019 by Martin Hoang
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source: http://plato.asu.edu/ftp/solvable.html authors: Rolf-David Bergdoll PAR10 performances of modern solvers on the solvable instances of MIPLIB2010. http://miplib.zib.de/ The algorithm runtime data was directly taken from the '12 threads' table of H. Mittelmann's evaluations. The features were generated using the MIP feature computation code from http://www.cs.ubc.ca/labs/beta/Projects/EPMs/ To record runtimes of the feature computations, runsolver was used: http://www.cril.univ-artois.fr/~roussel/runsolver/ Part of Open Algorithm Challenge 2017 ("Mira").

144 features

algorithm (target)	nominal	5 unique values 0 missing
probtype	numeric	1 unique values 0 missing
n_vars	numeric	204 unique values 0 missing
n_constr	numeric	203 unique values 0 missing
n_nzcnt	numeric	213 unique values 0 missing
nq_vars	numeric	1 unique values 0 missing
nq_constr	numeric	1 unique values 0 missing
nq_nzcnt	numeric	1 unique values 0 missing
lp_avg	numeric	218 unique values 0 missing
lp_l2_avg	numeric	218 unique values 0 missing
lp_linf	numeric	125 unique values 0 missing
lp_objval	numeric	180 unique values 0 missing
num_b_variables	numeric	188 unique values 0 missing
num_i_variables	numeric	40 unique values 0 missing
num_c_variables	numeric	99 unique values 0 missing
num_s_variables	numeric	2 unique values 0 missing
num_n_variables	numeric	2 unique values 0 missing
ratio_b_variables	numeric	112 unique values 0 missing
ratio_i_variables	numeric	38 unique values 0 missing
ratio_c_variables	numeric	99 unique values 0 missing
ratio_s_variables	numeric	2 unique values 0 missing
ratio_n_variables	numeric	2 unique values 0 missing
num_i._variables	numeric	194 unique values 0 missing
ratio_i._variables	numeric	99 unique values 0 missing
num_unbounded_disc	numeric	14 unique values 0 missing
ratio_unbounded_disc	numeric	10 unique values 0 missing
support_size_avg	numeric	28 unique values 0 missing
support_size_median	numeric	5 unique values 0 missing
support_size_varcoef	numeric	27 unique values 0 missing
support_size_q90mq10	numeric	10 unique values 0 missing
rhs_c_0_avg	numeric	135 unique values 0 missing
rhs_c_0_varcoef	numeric	127 unique values 0 missing
rhs_c_1_avg	numeric	103 unique values 0 missing
rhs_c_1_varcoef	numeric	110 unique values 0 missing
rhs_c_2_avg	numeric	82 unique values 0 missing
rhs_c_2_varcoef	numeric	75 unique values 0 missing
vcg_constr_deg0_avg	numeric	208 unique values 0 missing
vcg_constr_deg0_median	numeric	45 unique values 0 missing
vcg_constr_deg0_varcoef	numeric	204 unique values 0 missing
vcg_constr_deg0_q90mq10	numeric	65 unique values 0 missing
vcg_var_deg0_avg	numeric	184 unique values 0 missing
vcg_var_deg0_median	numeric	52 unique values 0 missing
vcg_var_deg0_varcoef	numeric	176 unique values 0 missing
vcg_var_deg0_q90mq10	numeric	58 unique values 0 missing
vcg_constr_weight0_avg	numeric	213 unique values 0 missing
vcg_constr_weight0_varcoef	numeric	209 unique values 0 missing
vcg_var_weight0_avg	numeric	211 unique values 0 missing
vcg_var_weight0_varcoef	numeric	198 unique values 0 missing
A_ij_normalized0_avg	numeric	144 unique values 0 missing
A_ij_normalized0_varcoef	numeric	143 unique values 0 missing
a_normalized_varcoefs0_avg	numeric	183 unique values 0 missing
a_normalized_varcoefs0_varcoef	numeric	182 unique values 0 missing
obj_coefs0_avg	numeric	134 unique values 0 missing
obj_coefs0_std	numeric	132 unique values 0 missing
obj_coef_per_constr0_avg	numeric	160 unique values 0 missing
obj_coef_per_constr0_std	numeric	156 unique values 0 missing
obj_coef_per_sqr_constr0_avg	numeric	160 unique values 0 missing
obj_coef_per_sqr_constr0_std	numeric	156 unique values 0 missing
vcg_constr_deg1_avg	numeric	113 unique values 0 missing
vcg_constr_deg1_median	numeric	13 unique values 0 missing
vcg_constr_deg1_varcoef	numeric	111 unique values 0 missing
vcg_constr_deg1_q90mq10	numeric	23 unique values 0 missing
vcg_var_deg1_avg	numeric	84 unique values 0 missing
vcg_var_deg1_median	numeric	26 unique values 0 missing
vcg_var_deg1_varcoef	numeric	76 unique values 0 missing
vcg_var_deg1_q90mq10	numeric	28 unique values 0 missing
vcg_constr_weight1_avg	numeric	102 unique values 0 missing
vcg_constr_weight1_varcoef	numeric	108 unique values 0 missing
vcg_var_weight1_avg	numeric	81 unique values 0 missing
vcg_var_weight1_varcoef	numeric	82 unique values 0 missing
A_ij_normalized1_avg	numeric	74 unique values 0 missing
A_ij_normalized1_varcoef	numeric	80 unique values 0 missing
a_normalized_varcoefs1_avg	numeric	87 unique values 0 missing
a_normalized_varcoefs1_varcoef	numeric	87 unique values 0 missing
obj_coefs1_avg	numeric	66 unique values 0 missing
obj_coefs1_std	numeric	62 unique values 0 missing
obj_coef_per_constr1_avg	numeric	73 unique values 0 missing
obj_coef_per_constr1_std	numeric	71 unique values 0 missing
obj_coef_per_sqr_constr1_avg	numeric	74 unique values 0 missing
obj_coef_per_sqr_constr1_std	numeric	71 unique values 0 missing
vcg_constr_deg2_avg	numeric	208 unique values 0 missing
vcg_constr_deg2_median	numeric	50 unique values 0 missing
vcg_constr_deg2_varcoef	numeric	205 unique values 0 missing
vcg_constr_deg2_q90mq10	numeric	73 unique values 0 missing
vcg_var_deg2_avg	numeric	205 unique values 0 missing
vcg_var_deg2_median	numeric	48 unique values 0 missing
vcg_var_deg2_varcoef	numeric	201 unique values 0 missing
vcg_var_deg2_q90mq10	numeric	66 unique values 0 missing
vcg_constr_weight2_avg	numeric	213 unique values 0 missing
vcg_constr_weight2_varcoef	numeric	209 unique values 0 missing
vcg_var_weight2_avg	numeric	211 unique values 0 missing
vcg_var_weight2_varcoef	numeric	211 unique values 0 missing
A_ij_normalized2_avg	numeric	166 unique values 0 missing
A_ij_normalized2_varcoef	numeric	169 unique values 0 missing
a_normalized_varcoefs2_avg	numeric	202 unique values 0 missing
a_normalized_varcoefs2_varcoef	numeric	200 unique values 0 missing
obj_coefs2_avg	numeric	178 unique values 0 missing
obj_coefs2_std	numeric	177 unique values 0 missing
obj_coef_per_constr2_avg	numeric	199 unique values 0 missing
obj_coef_per_constr2_std	numeric	196 unique values 0 missing
obj_coef_per_sqr_constr2_avg	numeric	199 unique values 0 missing
obj_coef_per_sqr_constr2_std	numeric	196 unique values 0 missing
mipgap	numeric	109 unique values 0 missing
nodecnt	numeric	107 unique values 0 missing
clqcnt	numeric	38 unique values 0 missing
covcnt	numeric	37 unique values 0 missing
itcnt_max	numeric	1 unique values 0 missing
numnewsolution_sum	numeric	2 unique values 0 missing
newin_sum	numeric	2 unique values 0 missing
nodeleft_avg	numeric	1 unique values 0 missing
nodeleft_varcoef	numeric	1 unique values 0 missing
diffObj_avg	numeric	1 unique values 0 missing
diffObj_median	numeric	1 unique values 0 missing
diffObj_varcoef	numeric	1 unique values 0 missing
diffObj_q90mq10	numeric	1 unique values 0 missing
numfeas	numeric	2 unique values 0 missing
iinf_avg	numeric	1 unique values 0 missing
iinf_median	numeric	1 unique values 0 missing
iinf_varcoef	numeric	1 unique values 0 missing
iinf_q90mq10	numeric	1 unique values 0 missing
diffBestInt_avg	numeric	1 unique values 0 missing
diffBestInt_median	numeric	1 unique values 0 missing
diffBestInt_varcoef	numeric	1 unique values 0 missing
diffBestInt_q90mq10	numeric	1 unique values 0 missing
diffBestObjUp_avg	numeric	1 unique values 0 missing
diffBestObjUp_median	numeric	1 unique values 0 missing
diffBestObjUp_varcoef	numeric	1 unique values 0 missing
diffBestObjUp_q90mq10	numeric	1 unique values 0 missing
numcuts_sum	numeric	2 unique values 0 missing
diffGap_avg	numeric	1 unique values 0 missing
diffGap_median	numeric	1 unique values 0 missing
diffGap_varcoef	numeric	1 unique values 0 missing
diffGap_q90mq10	numeric	1 unique values 0 missing
pre_t	numeric	56 unique values 0 missing
rel_t	numeric	1 unique values 0 missing
new_row	numeric	205 unique values 0 missing
new_col	numeric	204 unique values 0 missing
new_nonzero	numeric	210 unique values 0 missing
clique_table	numeric	153 unique values 0 missing
cliqueCuts	numeric	38 unique values 0 missing
impliedBoundCuts	numeric	46 unique values 0 missing
flowCuts	numeric	41 unique values 0 missing
mixedIntegerRoundingCuts	numeric	66 unique values 0 missing
gomoryFractionalCuts	numeric	34 unique values 0 missing
row_id (row identifier)	string	218 unique values 0 missing

Show first 100 features

62 properties

NumberOfInstances

218

Number of instances (rows) of the dataset.

NumberOfFeatures

144

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

143

Number of numeric attributes.

NumberOfSymbolicFeatures

Number of nominal attributes.

ClassEntropy

1.76

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

0.66

Number of attributes divided by the number of instances.

MeanNominalAttDistinctValues

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

Quartile2KurtosisOfNumericAtts

125.34

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

2.21

Mean skewness among attributes of the numeric type.

Quartile2MeansOfNumericAtts

1.58

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

MajorityClassPercentage

38.53

Percentage of instances belonging to the most frequent class.

MeanStdDevOfNumericAtts

41019373041.78

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

5.65

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

Percentage of binary attributes.

Quartile2StdDevOfNumericAtts

169.39

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

MaxKurtosisOfNumericAtts

218

Maximum kurtosis among attributes of the numeric type.

MinMeansOfNumericAtts

-5406917.67

Minimum of means among attributes of the numeric type.

PercentageOfInstancesWithMissingValues

Percentage of instances having missing values.

Quartile3AttributeEntropy

Third quartile of entropy among attributes.

MaxMeansOfNumericAtts

380429036708.36

Maximum of means among attributes of the numeric type.

MinMutualInformation

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

PercentageOfMissingValues

Percentage of missing values.

Quartile3KurtosisOfNumericAtts

216.51

Third quartile of kurtosis 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.

PercentageOfNumericFeatures

99.31

Percentage of numeric attributes.

Quartile3MeansOfNumericAtts

9834.17

Third quartile of means among attributes of the numeric type.

MaxNominalAttDistinctValues

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

MinSkewnessOfNumericAtts

-14.76

Minimum skewness among attributes of the numeric type.

PercentageOfSymbolicFeatures

0.69

Percentage of nominal attributes.

Quartile3MutualInformation

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

MaxSkewnessOfNumericAtts

14.76

Maximum skewness among attributes of the numeric type.

MinStdDevOfNumericAtts

Minimum standard deviation of attributes of the numeric type.

Quartile1AttributeEntropy

First quartile of entropy among attributes.

Quartile3SkewnessOfNumericAtts

10.88

Third quartile of skewness among attributes of the numeric type.

MaxStdDevOfNumericAtts

5607440907827.7

Maximum standard deviation of attributes of the numeric type.

MinorityClassPercentage

0.46

Percentage of instances belonging to the least frequent class.

Quartile1KurtosisOfNumericAtts

71.71

First quartile of kurtosis among attributes of the numeric type.

Quartile3StdDevOfNumericAtts

81758.97

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

-122.81

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.

MeanKurtosisOfNumericAtts

133.31

Mean kurtosis among attributes of the numeric type.

NumberOfBinaryFeatures

Number of binary attributes.

Quartile1MutualInformation

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

MeanMeansOfNumericAtts

2881025764.91

Mean of means among attributes of the numeric type.

Quartile1SkewnessOfNumericAtts

-10.07

First quartile of skewness among attributes of the numeric type.

AutoCorrelation

0.36

Average class difference between consecutive instances.

MeanMutualInformation

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

Quartile1StdDevOfNumericAtts

34.68

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

Show all 62 properties

9 tasks

Supervised Classification on MIP-2016-PAR10-classification

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

Clustering on MIP-2016-PAR10-classification