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AutoMLSelectorMulticlass

AutoMLSelectorMulticlass

active ARFF Publicly available Visibility: public Uploaded 11-09-2022 by Tina Butler
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A multiclass classification problem to predict the best AutoML tool to solve a given SL task.

108 features

automltool (target)nominal8 unique values
0 missing
AutoCorrelationnumeric91 unique values
0 missing
CfsSubsetEval_DecisionStumpAUCnumeric44 unique values
53 missing
CfsSubsetEval_DecisionStumpErrRatenumeric45 unique values
53 missing
CfsSubsetEval_DecisionStumpKappanumeric42 unique values
53 missing
CfsSubsetEval_NaiveBayesAUCnumeric44 unique values
53 missing
CfsSubsetEval_NaiveBayesErrRatenumeric45 unique values
53 missing
CfsSubsetEval_NaiveBayesKappanumeric43 unique values
53 missing
CfsSubsetEval_kNN1NAUCnumeric44 unique values
53 missing
CfsSubsetEval_kNN1NErrRatenumeric45 unique values
53 missing
CfsSubsetEval_kNN1NKappanumeric44 unique values
53 missing
ClassEntropynumeric67 unique values
21 missing
DecisionStumpAUCnumeric46 unique values
53 missing
DecisionStumpErrRatenumeric45 unique values
53 missing
DecisionStumpKappanumeric33 unique values
53 missing
Dimensionalitynumeric88 unique values
0 missing
EquivalentNumberOfAttsnumeric34 unique values
68 missing
J48.00001.AUCnumeric41 unique values
53 missing
J48.00001.ErrRatenumeric43 unique values
53 missing
J48.00001.Kappanumeric40 unique values
53 missing
J48.0001.AUCnumeric41 unique values
53 missing
J48.0001.ErrRatenumeric43 unique values
53 missing
J48.0001.Kappanumeric40 unique values
53 missing
J48.001.AUCnumeric41 unique values
53 missing
J48.001.ErrRatenumeric43 unique values
53 missing
J48.001.Kappanumeric40 unique values
53 missing
MajorityClassPercentagenumeric69 unique values
17 missing
MajorityClassSizenumeric74 unique values
17 missing
MaxAttributeEntropynumeric31 unique values
68 missing
MaxKurtosisOfNumericAttsnumeric81 unique values
12 missing
MaxMeansOfNumericAttsnumeric80 unique values
12 missing
MaxMutualInformationnumeric32 unique values
68 missing
MaxNominalAttDistinctValuesnumeric25 unique values
13 missing
MaxSkewnessOfNumericAttsnumeric81 unique values
12 missing
MaxStdDevOfNumericAttsnumeric82 unique values
12 missing
MeanAttributeEntropynumeric32 unique values
68 missing
MeanKurtosisOfNumericAttsnumeric82 unique values
12 missing
MeanMeansOfNumericAttsnumeric82 unique values
12 missing
MeanMutualInformationnumeric34 unique values
68 missing
MeanNoiseToSignalRationumeric34 unique values
68 missing
MeanNominalAttDistinctValuesnumeric46 unique values
13 missing
MeanSkewnessOfNumericAttsnumeric82 unique values
12 missing
MeanStdDevOfNumericAttsnumeric82 unique values
12 missing
MinAttributeEntropynumeric26 unique values
68 missing
MinKurtosisOfNumericAttsnumeric81 unique values
12 missing
MinMeansOfNumericAttsnumeric77 unique values
12 missing
MinMutualInformationnumeric25 unique values
68 missing
MinNominalAttDistinctValuesnumeric13 unique values
13 missing
MinSkewnessOfNumericAttsnumeric81 unique values
12 missing
MinStdDevOfNumericAttsnumeric71 unique values
12 missing
MinorityClassPercentagenumeric68 unique values
17 missing
MinorityClassSizenumeric72 unique values
17 missing
NaiveBayesAUCnumeric46 unique values
53 missing
NaiveBayesErrRatenumeric46 unique values
53 missing
NaiveBayesKappanumeric46 unique values
53 missing
NumberOfBinaryFeaturesnumeric16 unique values
0 missing
NumberOfClassesnumeric14 unique values
0 missing
NumberOfFeaturesnumeric57 unique values
0 missing
NumberOfInstancesnumeric78 unique values
0 missing
NumberOfInstancesWithMissingValuesnumeric21 unique values
0 missing
NumberOfMissingValuesnumeric21 unique values
0 missing
NumberOfNumericFeaturesnumeric49 unique values
0 missing
NumberOfSymbolicFeaturesnumeric29 unique values
0 missing
PercentageOfBinaryFeaturesnumeric43 unique values
0 missing
PercentageOfInstancesWithMissingValuesnumeric20 unique values
0 missing
PercentageOfMissingValuesnumeric21 unique values
0 missing
PercentageOfNumericFeaturesnumeric63 unique values
0 missing
PercentageOfSymbolicFeaturesnumeric63 unique values
0 missing
Quartile1AttributeEntropynumeric32 unique values
68 missing
Quartile1KurtosisOfNumericAttsnumeric82 unique values
12 missing
Quartile1MeansOfNumericAttsnumeric82 unique values
12 missing
Quartile1MutualInformationnumeric34 unique values
68 missing
Quartile1SkewnessOfNumericAttsnumeric82 unique values
12 missing
Quartile1StdDevOfNumericAttsnumeric82 unique values
12 missing
Quartile2AttributeEntropynumeric32 unique values
68 missing
Quartile2KurtosisOfNumericAttsnumeric82 unique values
12 missing
Quartile2MeansOfNumericAttsnumeric82 unique values
12 missing
Quartile2MutualInformationnumeric34 unique values
68 missing
Quartile2SkewnessOfNumericAttsnumeric82 unique values
12 missing
Quartile2StdDevOfNumericAttsnumeric82 unique values
12 missing
Quartile3AttributeEntropynumeric32 unique values
68 missing
Quartile3KurtosisOfNumericAttsnumeric82 unique values
12 missing
Quartile3MeansOfNumericAttsnumeric82 unique values
12 missing
Quartile3MutualInformationnumeric34 unique values
68 missing
Quartile3SkewnessOfNumericAttsnumeric82 unique values
12 missing
Quartile3StdDevOfNumericAttsnumeric82 unique values
12 missing
REPTreeDepth1AUCnumeric41 unique values
53 missing
REPTreeDepth1ErrRatenumeric44 unique values
53 missing
REPTreeDepth1Kappanumeric40 unique values
53 missing
REPTreeDepth2AUCnumeric41 unique values
53 missing
REPTreeDepth2ErrRatenumeric44 unique values
53 missing
REPTreeDepth2Kappanumeric40 unique values
53 missing
REPTreeDepth3AUCnumeric41 unique values
53 missing
REPTreeDepth3ErrRatenumeric44 unique values
53 missing
REPTreeDepth3Kappanumeric40 unique values
53 missing
RandomTreeDepth1AUCnumeric46 unique values
53 missing
RandomTreeDepth1ErrRatenumeric46 unique values
53 missing
RandomTreeDepth1Kappanumeric46 unique values
53 missing
RandomTreeDepth2AUCnumeric46 unique values
53 missing
RandomTreeDepth2ErrRatenumeric46 unique values
53 missing
RandomTreeDepth2Kappanumeric46 unique values
53 missing
RandomTreeDepth3AUCnumeric46 unique values
53 missing
RandomTreeDepth3ErrRatenumeric46 unique values
53 missing
RandomTreeDepth3Kappanumeric46 unique values
53 missing
StdvNominalAttDistinctValuesnumeric36 unique values
13 missing
kNN1NAUCnumeric46 unique values
53 missing
kNN1NErrRatenumeric46 unique values
53 missing
kNN1NKappanumeric46 unique values
53 missing

19 properties

103
Number of instances (rows) of the dataset.
108
Number of attributes (columns) of the dataset.
8
Number of distinct values of the target attribute (if it is nominal).
3766
Number of missing values in the dataset.
82
Number of instances with at least one value missing.
107
Number of numeric attributes.
1
Number of nominal attributes.
0.93
Percentage of nominal attributes.
0.38
Average class difference between consecutive instances.
99.07
Percentage of numeric attributes.
33.85
Percentage of missing values.
79.61
Percentage of instances having missing values.
0
Percentage of binary attributes.
0
Number of binary attributes.
2
Number of instances belonging to the least frequent class.
1.94
Percentage of instances belonging to the least frequent class.
53
Number of instances belonging to the most frequent class.
51.46
Percentage of instances belonging to the most frequent class.
1.05
Number of attributes divided by the number of instances.

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