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AirlinesCodrnaAdult

AirlinesCodrnaAdult

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30 features

Delay (target)nominal2 unique values
0 missing
agenominal5 unique values
0 missing
native-countrynominal41 unique values
1007 missing
hoursperweeknominal5 unique values
0 missing
capitallossnominal5 unique values
0 missing
capitalgainnominal5 unique values
0 missing
sexnominal2 unique values
0 missing
racenominal5 unique values
0 missing
relationshipnominal6 unique values
0 missing
occupationnominal14 unique values
3139 missing
marital-statusnominal7 unique values
0 missing
education-numnumeric16 unique values
0 missing
educationnominal16 unique values
0 missing
fnlwgtnumeric28523 unique values
0 missing
workclassnominal8 unique values
3129 missing
Airlinenominal18 unique values
0 missing
codrna_X8numeric220 unique values
0 missing
codrna_X7numeric228 unique values
0 missing
codrna_X6numeric228 unique values
0 missing
codrna_X5numeric220 unique values
0 missing
codrna_X4numeric228 unique values
0 missing
codrna_X3numeric228 unique values
0 missing
codrna_X2numeric43 unique values
0 missing
codrna_X1numeric1327 unique values
0 missing
Lengthnumeric426 unique values
0 missing
Timenumeric1131 unique values
0 missing
DayOfWeeknominal7 unique values
0 missing
AirportTonominal293 unique values
0 missing
AirportFromnominal293 unique values
0 missing
Flightnumeric6585 unique values
0 missing
Show all 30 features

107 properties

NumberOfInstances
1076790
Number of instances (rows) of the dataset.
NumberOfFeatures
30
Number of attributes (columns) of the dataset.
NumberOfClasses
2
Number of distinct values of the target attribute (if it is nominal).
NumberOfMissingValues
7275
Number of missing values in the dataset.
NumberOfInstancesWithMissingValues
4085
Number of instances with at least one value missing.
NumberOfNumericFeatures
13
Number of numeric attributes.
NumberOfSymbolicFeatures
17
Number of nominal attributes.
AutoCorrelation
0.57
Average class difference between consecutive instances.
CfsSubsetEval_DecisionStumpAUC
0.69
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.DecisionStump -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W
CfsSubsetEval_DecisionStumpErrRate
0.35
Error rate achieved by the landmarker weka.classifiers.trees.DecisionStump -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W
CfsSubsetEval_DecisionStumpKappa
0.33
Kappa coefficient achieved by the landmarker weka.classifiers.trees.DecisionStump -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W
CfsSubsetEval_NaiveBayesAUC
0.69
Area Under the ROC Curve achieved by the landmarker weka.classifiers.bayes.NaiveBayes -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W
CfsSubsetEval_NaiveBayesErrRate
0.35
Error rate achieved by the landmarker weka.classifiers.bayes.NaiveBayes -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W
CfsSubsetEval_NaiveBayesKappa
0.33
Kappa coefficient achieved by the landmarker weka.classifiers.bayes.NaiveBayes -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W
CfsSubsetEval_kNN1NAUC
0.69
Area Under the ROC Curve achieved by the landmarker weka.classifiers.lazy.IBk -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W
CfsSubsetEval_kNN1NErrRate
0.35
Error rate achieved by the landmarker weka.classifiers.lazy.IBk -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W
CfsSubsetEval_kNN1NKappa
0.33
Kappa coefficient achieved by the landmarker weka.classifiers.lazy.IBk -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W
ClassEntropy
0.99
Entropy of the target attribute values.
DecisionStumpAUC
0.67
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.DecisionStump
DecisionStumpErrRate
0.35
Error rate achieved by the landmarker weka.classifiers.trees.DecisionStump
DecisionStumpKappa
0.33
Kappa coefficient achieved by the landmarker weka.classifiers.trees.DecisionStump
Dimensionality
0
Number of attributes divided by the number of instances.
EquivalentNumberOfAtts
65.47
Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.
J48.00001.AUC
0.88
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .00001
J48.00001.ErrRate
0.2
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .00001
J48.00001.Kappa
0.6
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .00001
J48.0001.AUC
0.88
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .0001
J48.0001.ErrRate
0.2
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .0001
J48.0001.Kappa
0.6
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .0001
J48.001.AUC
0.88
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .001
J48.001.ErrRate
0.2
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .001
J48.001.Kappa
0.6
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .001
MajorityClassPercentage
56.01
Percentage of instances belonging to the most frequent class.
MajorityClassSize
603138
Number of instances belonging to the most frequent class.
MaxAttributeEntropy
4.27
Maximum entropy among attributes.
MaxKurtosisOfNumericAtts
86.97
Maximum kurtosis among attributes of the numeric type.
MaxMeansOfNumericAtts
83637.47
Maximum of means among attributes of the numeric type.
MaxMutualInformation
0.06
Maximum mutual information between the nominal attributes and the target attribute.
MaxNominalAttDistinctValues
293
The maximum number of distinct values among attributes of the nominal type.
MaxSkewnessOfNumericAtts
7.74
Maximum skewness among attributes of the numeric type.
MaxStdDevOfNumericAtts
35324.01
Maximum standard deviation of attributes of the numeric type.
MeanAttributeEntropy
1.02
Average entropy of the attributes.
MeanKurtosisOfNumericAtts
13.13
Mean kurtosis among attributes of the numeric type.
MeanMeansOfNumericAtts
6637.78
Mean of means among attributes of the numeric type.
MeanMutualInformation
0.02
Average mutual information between the nominal attributes and the target attribute.
MeanNoiseToSignalRatio
66.61
An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.
MeanNominalAttDistinctValues
43.06
Average number of distinct values among the attributes of the nominal type.
MeanSkewnessOfNumericAtts
0.74
Mean skewness among attributes of the numeric type.
MeanStdDevOfNumericAtts
2897.39
Mean standard deviation of attributes of the numeric type.
MinAttributeEntropy
0.03
Minimal entropy among attributes.
MinKurtosisOfNumericAtts
-1.66
Minimum kurtosis among attributes of the numeric type.
MinMeansOfNumericAtts
0.22
Minimum of means among attributes of the numeric type.
MinMutualInformation
0
Minimal mutual information between the nominal attributes and the target attribute.
MinNominalAttDistinctValues
2
The minimal number of distinct values among attributes of the nominal type.
MinSkewnessOfNumericAtts
-6.3
Minimum skewness among attributes of the numeric type.
MinStdDevOfNumericAtts
0.08
Minimum standard deviation of attributes of the numeric type.
MinorityClassPercentage
43.99
Percentage of instances belonging to the least frequent class.
MinorityClassSize
473652
Number of instances belonging to the least frequent class.
NaiveBayesAUC
0.69
Area Under the ROC Curve achieved by the landmarker weka.classifiers.bayes.NaiveBayes
NaiveBayesErrRate
0.38
Error rate achieved by the landmarker weka.classifiers.bayes.NaiveBayes
NaiveBayesKappa
0.23
Kappa coefficient achieved by the landmarker weka.classifiers.bayes.NaiveBayes
NumberOfBinaryFeatures
2
Number of binary attributes.
PercentageOfBinaryFeatures
6.67
Percentage of binary attributes.
PercentageOfInstancesWithMissingValues
0.38
Percentage of instances having missing values.
PercentageOfMissingValues
0.02
Percentage of missing values.
PercentageOfNumericFeatures
43.33
Percentage of numeric attributes.
PercentageOfSymbolicFeatures
56.67
Percentage of nominal attributes.
Quartile1AttributeEntropy
0.15
First quartile of entropy among attributes.
Quartile1KurtosisOfNumericAtts
0.4
First quartile of kurtosis among attributes of the numeric type.
Quartile1MeansOfNumericAtts
0.32
First quartile of means among attributes of the numeric type.
Quartile1MutualInformation
0
First quartile of mutual information between the nominal attributes and the target attribute.
Quartile1SkewnessOfNumericAtts
-0.71
First quartile of skewness among attributes of the numeric type.
Quartile1StdDevOfNumericAtts
0.11
First quartile of standard deviation of attributes of the numeric type.
Quartile2AttributeEntropy
0.33
Second quartile (Median) of entropy among attributes.
Quartile2KurtosisOfNumericAtts
4.68
Second quartile (Median) of kurtosis among attributes of the numeric type.
Quartile2MeansOfNumericAtts
0.62
Second quartile (Median) of means among attributes of the numeric type.
Quartile2MutualInformation
0.01
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
Quartile2SkewnessOfNumericAtts
0.58
Second quartile (Median) of skewness among attributes of the numeric type.
Quartile2StdDevOfNumericAtts
0.14
Second quartile (Median) of standard deviation of attributes of the numeric type.
Quartile3AttributeEntropy
1.66
Third quartile of entropy among attributes.
Quartile3KurtosisOfNumericAtts
9.36
Third quartile of kurtosis among attributes of the numeric type.
Quartile3MeansOfNumericAtts
669.97
Third quartile of means among attributes of the numeric type.
Quartile3MutualInformation
0.02
Third quartile of mutual information between the nominal attributes and the target attribute.
Quartile3SkewnessOfNumericAtts
2.12
Third quartile of skewness among attributes of the numeric type.
Quartile3StdDevOfNumericAtts
238.39
Third quartile of standard deviation of attributes of the numeric type.
REPTreeDepth1AUC
0.88
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 1
REPTreeDepth1ErrRate
0.21
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 1
REPTreeDepth1Kappa
0.59
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 1
REPTreeDepth2AUC
0.88
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 2
REPTreeDepth2ErrRate
0.21
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 2
REPTreeDepth2Kappa
0.59
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 2
REPTreeDepth3AUC
0.88
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 3
REPTreeDepth3ErrRate
0.21
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 3
REPTreeDepth3Kappa
0.59
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 3
RandomTreeDepth1AUC
0.78
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
RandomTreeDepth1ErrRate
0.23
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
RandomTreeDepth1Kappa
0.53
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
RandomTreeDepth2AUC
0.78
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
RandomTreeDepth2ErrRate
0.23
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
RandomTreeDepth2Kappa
0.53
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
RandomTreeDepth3AUC
0.78
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
RandomTreeDepth3ErrRate
0.23
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
RandomTreeDepth3Kappa
0.53
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
StdvNominalAttDistinctValues
94.53
Standard deviation of the number of distinct values among attributes of the nominal type.
kNN1NAUC
0.77
Area Under the ROC Curve achieved by the landmarker weka.classifiers.lazy.IBk
kNN1NErrRate
0.24
Error rate achieved by the landmarker weka.classifiers.lazy.IBk
kNN1NKappa
0.51
Kappa coefficient achieved by the landmarker weka.classifiers.lazy.IBk
Show all 107 properties

13 tasks

Supervised Classification on AirlinesCodrnaAdult
0 runs - estimation_procedure: 33% Holdout set - target_feature: Delay
Supervised Data Stream Classification on AirlinesCodrnaAdult
253 runs - estimation_procedure: Interleaved Test then Train - target_feature: Delay
Clustering on AirlinesCodrnaAdult
0 runs
Clustering on AirlinesCodrnaAdult
0 runs - estimation_procedure: 50 times Clustering
Clustering on AirlinesCodrnaAdult
0 runs - estimation_procedure: 50 times Clustering
Clustering on AirlinesCodrnaAdult
0 runs - estimation_procedure: 50 times Clustering
Clustering on AirlinesCodrnaAdult
0 runs - estimation_procedure: 50 times Clustering
Clustering on AirlinesCodrnaAdult
0 runs - estimation_procedure: 50 times Clustering
Clustering on AirlinesCodrnaAdult
0 runs - estimation_procedure: 50 times Clustering
Clustering on AirlinesCodrnaAdult
0 runs - estimation_procedure: 50 times Clustering
Clustering on AirlinesCodrnaAdult
0 runs - estimation_procedure: 50 times Clustering
Clustering on AirlinesCodrnaAdult
0 runs - estimation_procedure: 50 times Clustering
Clustering on AirlinesCodrnaAdult
0 runs - estimation_procedure: 50 times Clustering
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