Data
MIP-2016-classification

MIP-2016-classification

active ARFF Publicly available Visibility: public Uploaded 28-05-2019 by Martin Hoang
0 likes downloaded by 0 people , 0 total downloads 0 issues 0 downvotes
  • Algorithm Selection Computer Science Operations Research R
Issue #Downvotes for this reason By


Loading wiki
Help us complete this description Edit
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").

148 features

algorithm (target)nominal5 unique values
0 missing
instance_idstring218 unique values
0 missing
repetitionnumeric1 unique values
0 missing
probtypenumeric1 unique values
0 missing
n_varsnumeric204 unique values
0 missing
n_constrnumeric203 unique values
0 missing
n_nzcntnumeric213 unique values
0 missing
nq_varsnumeric1 unique values
0 missing
nq_constrnumeric1 unique values
0 missing
nq_nzcntnumeric1 unique values
0 missing
lp_avgnumeric218 unique values
0 missing
lp_l2_avgnumeric218 unique values
0 missing
lp_linfnumeric125 unique values
0 missing
lp_objvalnumeric180 unique values
0 missing
num_b_variablesnumeric188 unique values
0 missing
num_i_variablesnumeric40 unique values
0 missing
num_c_variablesnumeric99 unique values
0 missing
num_s_variablesnumeric2 unique values
0 missing
num_n_variablesnumeric2 unique values
0 missing
ratio_b_variablesnumeric112 unique values
0 missing
ratio_i_variablesnumeric38 unique values
0 missing
ratio_c_variablesnumeric99 unique values
0 missing
ratio_s_variablesnumeric2 unique values
0 missing
ratio_n_variablesnumeric2 unique values
0 missing
num_i._variablesnumeric194 unique values
0 missing
ratio_i._variablesnumeric99 unique values
0 missing
num_unbounded_discnumeric14 unique values
0 missing
ratio_unbounded_discnumeric10 unique values
0 missing
support_size_avgnumeric28 unique values
0 missing
support_size_mediannumeric5 unique values
0 missing
support_size_varcoefnumeric27 unique values
0 missing
support_size_q90mq10numeric10 unique values
0 missing
rhs_c_0_avgnumeric135 unique values
0 missing
rhs_c_0_varcoefnumeric127 unique values
0 missing
rhs_c_1_avgnumeric103 unique values
0 missing
rhs_c_1_varcoefnumeric110 unique values
0 missing
rhs_c_2_avgnumeric82 unique values
0 missing
rhs_c_2_varcoefnumeric75 unique values
0 missing
vcg_constr_deg0_avgnumeric208 unique values
0 missing
vcg_constr_deg0_mediannumeric45 unique values
0 missing
vcg_constr_deg0_varcoefnumeric204 unique values
0 missing
vcg_constr_deg0_q90mq10numeric65 unique values
0 missing
vcg_var_deg0_avgnumeric184 unique values
0 missing
vcg_var_deg0_mediannumeric52 unique values
0 missing
vcg_var_deg0_varcoefnumeric176 unique values
0 missing
vcg_var_deg0_q90mq10numeric58 unique values
0 missing
vcg_constr_weight0_avgnumeric213 unique values
0 missing
vcg_constr_weight0_varcoefnumeric209 unique values
0 missing
vcg_var_weight0_avgnumeric211 unique values
0 missing
vcg_var_weight0_varcoefnumeric198 unique values
0 missing
A_ij_normalized0_avgnumeric144 unique values
0 missing
A_ij_normalized0_varcoefnumeric143 unique values
0 missing
a_normalized_varcoefs0_avgnumeric183 unique values
0 missing
a_normalized_varcoefs0_varcoefnumeric182 unique values
0 missing
obj_coefs0_avgnumeric134 unique values
0 missing
obj_coefs0_stdnumeric132 unique values
0 missing
obj_coef_per_constr0_avgnumeric160 unique values
0 missing
obj_coef_per_constr0_stdnumeric156 unique values
0 missing
obj_coef_per_sqr_constr0_avgnumeric160 unique values
0 missing
obj_coef_per_sqr_constr0_stdnumeric156 unique values
0 missing
vcg_constr_deg1_avgnumeric113 unique values
0 missing
vcg_constr_deg1_mediannumeric13 unique values
0 missing
vcg_constr_deg1_varcoefnumeric111 unique values
0 missing
vcg_constr_deg1_q90mq10numeric23 unique values
0 missing
vcg_var_deg1_avgnumeric84 unique values
0 missing
vcg_var_deg1_mediannumeric26 unique values
0 missing
vcg_var_deg1_varcoefnumeric76 unique values
0 missing
vcg_var_deg1_q90mq10numeric28 unique values
0 missing
vcg_constr_weight1_avgnumeric102 unique values
0 missing
vcg_constr_weight1_varcoefnumeric108 unique values
0 missing
vcg_var_weight1_avgnumeric81 unique values
0 missing
vcg_var_weight1_varcoefnumeric82 unique values
0 missing
A_ij_normalized1_avgnumeric74 unique values
0 missing
A_ij_normalized1_varcoefnumeric80 unique values
0 missing
a_normalized_varcoefs1_avgnumeric87 unique values
0 missing
a_normalized_varcoefs1_varcoefnumeric87 unique values
0 missing
obj_coefs1_avgnumeric66 unique values
0 missing
obj_coefs1_stdnumeric62 unique values
0 missing
obj_coef_per_constr1_avgnumeric73 unique values
0 missing
obj_coef_per_constr1_stdnumeric71 unique values
0 missing
obj_coef_per_sqr_constr1_avgnumeric74 unique values
0 missing
obj_coef_per_sqr_constr1_stdnumeric71 unique values
0 missing
vcg_constr_deg2_avgnumeric208 unique values
0 missing
vcg_constr_deg2_mediannumeric50 unique values
0 missing
vcg_constr_deg2_varcoefnumeric205 unique values
0 missing
vcg_constr_deg2_q90mq10numeric73 unique values
0 missing
vcg_var_deg2_avgnumeric205 unique values
0 missing
vcg_var_deg2_mediannumeric48 unique values
0 missing
vcg_var_deg2_varcoefnumeric201 unique values
0 missing
vcg_var_deg2_q90mq10numeric66 unique values
0 missing
vcg_constr_weight2_avgnumeric213 unique values
0 missing
vcg_constr_weight2_varcoefnumeric209 unique values
0 missing
vcg_var_weight2_avgnumeric211 unique values
0 missing
vcg_var_weight2_varcoefnumeric211 unique values
0 missing
A_ij_normalized2_avgnumeric166 unique values
0 missing
A_ij_normalized2_varcoefnumeric169 unique values
0 missing
a_normalized_varcoefs2_avgnumeric202 unique values
0 missing
a_normalized_varcoefs2_varcoefnumeric200 unique values
0 missing
obj_coefs2_avgnumeric178 unique values
0 missing
obj_coefs2_stdnumeric177 unique values
0 missing
obj_coef_per_constr2_avgnumeric199 unique values
0 missing
obj_coef_per_constr2_stdnumeric196 unique values
0 missing
obj_coef_per_sqr_constr2_avgnumeric199 unique values
0 missing
obj_coef_per_sqr_constr2_stdnumeric196 unique values
0 missing
mipgapnumeric109 unique values
0 missing
nodecntnumeric107 unique values
0 missing
clqcntnumeric38 unique values
0 missing
covcntnumeric37 unique values
0 missing
itcnt_maxnumeric1 unique values
0 missing
numnewsolution_sumnumeric2 unique values
0 missing
newin_sumnumeric2 unique values
0 missing
nodeleft_avgnumeric1 unique values
0 missing
nodeleft_varcoefnumeric1 unique values
0 missing
diffObj_avgnumeric1 unique values
0 missing
diffObj_mediannumeric1 unique values
0 missing
diffObj_varcoefnumeric1 unique values
0 missing
diffObj_q90mq10numeric1 unique values
0 missing
numfeasnumeric2 unique values
0 missing
iinf_avgnumeric1 unique values
0 missing
iinf_mediannumeric1 unique values
0 missing
iinf_varcoefnumeric1 unique values
0 missing
iinf_q90mq10numeric1 unique values
0 missing
diffBestInt_avgnumeric1 unique values
0 missing
diffBestInt_mediannumeric1 unique values
0 missing
diffBestInt_varcoefnumeric1 unique values
0 missing
diffBestInt_q90mq10numeric1 unique values
0 missing
diffBestObjUp_avgnumeric1 unique values
0 missing
diffBestObjUp_mediannumeric1 unique values
0 missing
diffBestObjUp_varcoefnumeric1 unique values
0 missing
diffBestObjUp_q90mq10numeric1 unique values
0 missing
numcuts_sumnumeric2 unique values
0 missing
diffGap_avgnumeric1 unique values
0 missing
diffGap_mediannumeric1 unique values
0 missing
diffGap_varcoefnumeric1 unique values
0 missing
diffGap_q90mq10numeric1 unique values
0 missing
pre_tnumeric56 unique values
0 missing
rel_tnumeric1 unique values
0 missing
new_rownumeric205 unique values
0 missing
new_colnumeric204 unique values
0 missing
new_nonzeronumeric210 unique values
0 missing
clique_tablenumeric153 unique values
0 missing
cliqueCutsnumeric38 unique values
0 missing
impliedBoundCutsnumeric46 unique values
0 missing
flowCutsnumeric41 unique values
0 missing
mixedIntegerRoundingCutsnumeric66 unique values
0 missing
gomoryFractionalCutsnumeric34 unique values
0 missing
PAR10numeric218 unique values
0 missing
runstatusnominal1 unique values
0 missing
Show first 100 features

62 properties

NumberOfInstances
218
Number of instances (rows) of the dataset.
NumberOfFeatures
148
Number of attributes (columns) of the dataset.
NumberOfClasses
5
Number of distinct values of the target attribute (if it is nominal).
NumberOfMissingValues
0
Number of missing values in the dataset.
NumberOfInstancesWithMissingValues
0
Number of instances with at least one value missing.
NumberOfNumericFeatures
145
Number of numeric attributes.
NumberOfSymbolicFeatures
2
Number of nominal attributes.
MeanSkewnessOfNumericAtts
2.23
Mean skewness among attributes of the numeric type.
Quartile2MeansOfNumericAtts
1.58
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.
MeanStdDevOfNumericAtts
40453588591.73
Mean standard deviation of attributes of the numeric type.
Quartile2MutualInformation
0
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
MajorityClassPercentage
38.53
Percentage of instances belonging to the most frequent class.
MinAttributeEntropy
0
Minimal entropy among attributes.
Quartile2SkewnessOfNumericAtts
5.6
Second quartile (Median) of skewness among attributes of the numeric type.
MajorityClassSize
84
Number of instances belonging to the most frequent class.
MaxAttributeEntropy
0
Maximum entropy among attributes.
MinKurtosisOfNumericAtts
-1.98
Minimum kurtosis among attributes of the numeric type.
PercentageOfBinaryFeatures
0
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
0
Percentage of instances having missing values.
Quartile3AttributeEntropy
0
Third quartile of entropy among attributes.
MaxMeansOfNumericAtts
380429036708.36
Maximum of means among attributes of the numeric type.
MinMutualInformation
0
Minimal mutual information between the nominal attributes and the target attribute.
PercentageOfMissingValues
0
Percentage of missing values.
Quartile3KurtosisOfNumericAtts
216.24
Third quartile of kurtosis among attributes of the numeric type.
MaxMutualInformation
0
Maximum mutual information between the nominal attributes and the target attribute.
MinNominalAttDistinctValues
1
The minimal number of distinct values among attributes of the nominal type.
PercentageOfNumericFeatures
97.97
Percentage of numeric attributes.
Quartile3MeansOfNumericAtts
7761.8
Third quartile of means among attributes of the numeric type.
MaxNominalAttDistinctValues
5
The maximum number of distinct values among attributes of the nominal type.
MinSkewnessOfNumericAtts
-14.76
Minimum skewness among attributes of the numeric type.
PercentageOfSymbolicFeatures
1.35
Percentage of nominal attributes.
Quartile3MutualInformation
0
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
0
Minimum standard deviation of attributes of the numeric type.
Quartile1AttributeEntropy
0
First quartile of entropy among attributes.
Quartile3SkewnessOfNumericAtts
10.8
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
66.48
First quartile of kurtosis among attributes of the numeric type.
Quartile3StdDevOfNumericAtts
78879.86
Third quartile of standard deviation of attributes of the numeric type.
MeanAttributeEntropy
0
Average entropy of the attributes.
MinorityClassSize
1
Number of instances belonging to the least frequent class.
Quartile1MeansOfNumericAtts
-91.95
First quartile of means among attributes of the numeric type.
StdvNominalAttDistinctValues
2.83
Standard deviation of the number of distinct values among attributes of the nominal type.
MeanKurtosisOfNumericAtts
132.33
Mean kurtosis among attributes of the numeric type.
NumberOfBinaryFeatures
0
Number of binary attributes.
Quartile1MutualInformation
0
First quartile of mutual information between the nominal attributes and the target attribute.
MeanMeansOfNumericAtts
2841287480.79
Mean of means among attributes of the numeric type.
Quartile1SkewnessOfNumericAtts
-9.65
First quartile of skewness among attributes of the numeric type.
MeanMutualInformation
0
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.
AutoCorrelation
0.36
Average class difference between consecutive instances.
MeanNoiseToSignalRatio
An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.
Quartile2AttributeEntropy
0
Second quartile (Median) of entropy among attributes.
ClassEntropy
1.76
Entropy of the target attribute values.
MeanNominalAttDistinctValues
3
Average number of distinct values among the attributes of the nominal type.
Quartile2KurtosisOfNumericAtts
125.27
Second quartile (Median) of kurtosis among attributes of the numeric type.
Dimensionality
0.68
Number of attributes divided by the number of instances.
Show all 62 properties

9 tasks

Supervised Classification on MIP-2016-classification
0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: algorithm
Clustering on MIP-2016-classification
0 runs - estimation_procedure: 50 times Clustering
Clustering on MIP-2016-classification
0 runs - estimation_procedure: 50 times Clustering
Clustering on MIP-2016-classification
0 runs - estimation_procedure: 50 times Clustering
Clustering on MIP-2016-classification
0 runs - estimation_procedure: 50 times Clustering
Clustering on MIP-2016-classification
0 runs - estimation_procedure: 50 times Clustering
Clustering on MIP-2016-classification
0 runs - estimation_procedure: 50 times Clustering
Clustering on MIP-2016-classification
0 runs - estimation_procedure: 50 times Clustering
Clustering on MIP-2016-classification
0 runs - estimation_procedure: 50 times Clustering
Define a new task