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car-evaluation

car-evaluation

active ARFF public Visibility: public Uploaded 06-04-2017 by Arnold
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car-evaluation-pmlb

22 features

class (target)nominal4 unique values
0 missing
doors_4nominal2 unique values
0 missing
safety_highnominal2 unique values
0 missing
safety_mednominal2 unique values
0 missing
safety_lownominal2 unique values
0 missing
luggage_boot_size_bignominal2 unique values
0 missing
luggage_boot_size_mednominal2 unique values
0 missing
luggage_boot_size_smallnominal2 unique values
0 missing
persons_morenominal2 unique values
0 missing
persons_4nominal2 unique values
0 missing
persons_2nominal2 unique values
0 missing
doors_5morenominal2 unique values
0 missing
doors_3nominal2 unique values
0 missing
doors_2nominal2 unique values
0 missing
maintenance_price_lownominal2 unique values
0 missing
maintenance_price_mednominal2 unique values
0 missing
maintenance_price_highnominal2 unique values
0 missing
maintenance_price_vhighnominal2 unique values
0 missing
buying_price_lownominal2 unique values
0 missing
buying_price_mednominal2 unique values
0 missing
buying_price_highnominal2 unique values
0 missing
buying_price_vhighnominal2 unique values
0 missing
Show all 22 features

62 properties

NumberOfInstances
1728
Number of instances (rows) of the dataset.
NumberOfFeatures
22
Number of attributes (columns) of the dataset.
NumberOfClasses
4
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
0
Number of numeric attributes.
NumberOfSymbolicFeatures
22
Number of nominal attributes.
Quartile1MutualInformation
0.01
First quartile of mutual information between the nominal attributes and the target attribute.
PercentageOfBinaryFeatures
95.45
Percentage of binary attributes.
PercentageOfInstancesWithMissingValues
0
Percentage of instances having missing values.
PercentageOfMissingValues
0
Percentage of missing values.
PercentageOfNumericFeatures
0
Percentage of numeric attributes.
PercentageOfSymbolicFeatures
100
Percentage of nominal attributes.
Quartile1AttributeEntropy
0.81
First quartile of entropy among attributes.
Quartile1KurtosisOfNumericAtts
First quartile of kurtosis among attributes of the numeric type.
Quartile1MeansOfNumericAtts
First quartile of means among attributes of the numeric type.
StdvNominalAttDistinctValues
0.43
Standard deviation of the number of distinct values among attributes of the nominal type.
Quartile1SkewnessOfNumericAtts
First quartile of skewness among attributes of the numeric type.
Quartile1StdDevOfNumericAtts
First quartile of standard deviation of attributes of the numeric type.
Quartile2AttributeEntropy
0.81
Second quartile (Median) of entropy among attributes.
Quartile2KurtosisOfNumericAtts
Second quartile (Median) of kurtosis among attributes of the numeric type.
Quartile2MeansOfNumericAtts
Second quartile (Median) of means among attributes of the numeric type.
Quartile2MutualInformation
0.03
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
Quartile2SkewnessOfNumericAtts
Second quartile (Median) of skewness among attributes of the numeric type.
Quartile2StdDevOfNumericAtts
Second quartile (Median) of standard deviation of attributes of the numeric type.
Quartile3AttributeEntropy
0.92
Third quartile of entropy among attributes.
Quartile3KurtosisOfNumericAtts
Third quartile of kurtosis among attributes of the numeric type.
Quartile3MeansOfNumericAtts
Third quartile of means among attributes of the numeric type.
Quartile3MutualInformation
0.04
Third quartile of mutual information between the nominal attributes and the target attribute.
Quartile3SkewnessOfNumericAtts
Third quartile of skewness among attributes of the numeric type.
Quartile3StdDevOfNumericAtts
Third quartile of standard deviation of attributes of the numeric type.
AutoCorrelation
0.6
Average class difference between consecutive instances.
MeanMeansOfNumericAtts
Mean of means among attributes of the numeric type.
ClassEntropy
1.21
Entropy of the target attribute values.
Dimensionality
0.01
Number of attributes divided by the number of instances.
EquivalentNumberOfAtts
26.96
Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.
MajorityClassPercentage
70.02
Percentage of instances belonging to the most frequent class.
MajorityClassSize
1210
Number of instances belonging to the most frequent class.
MaxAttributeEntropy
0.92
Maximum entropy among attributes.
MaxKurtosisOfNumericAtts
Maximum kurtosis among attributes of the numeric type.
MaxMeansOfNumericAtts
Maximum of means among attributes of the numeric type.
MaxMutualInformation
0.22
Maximum mutual information between the nominal attributes and the target attribute.
MaxNominalAttDistinctValues
4
The maximum number of distinct values among attributes of the nominal type.
MaxSkewnessOfNumericAtts
Maximum skewness among attributes of the numeric type.
MaxStdDevOfNumericAtts
Maximum standard deviation of attributes of the numeric type.
MeanAttributeEntropy
0.86
Average entropy of the attributes.
MeanKurtosisOfNumericAtts
Mean kurtosis among attributes of the numeric type.
NumberOfBinaryFeatures
21
Number of binary attributes.
MeanMutualInformation
0.04
Average mutual information between the nominal attributes and the target attribute.
MeanNoiseToSignalRatio
18.17
An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.
MeanNominalAttDistinctValues
2.09
Average number of distinct values among the attributes of the nominal type.
MeanSkewnessOfNumericAtts
Mean skewness among attributes of the numeric type.
MeanStdDevOfNumericAtts
Mean standard deviation of attributes of the numeric type.
MinAttributeEntropy
0.81
Minimal entropy among attributes.
MinKurtosisOfNumericAtts
Minimum kurtosis among attributes of the numeric type.
MinMeansOfNumericAtts
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
Minimum skewness among attributes of the numeric type.
MinStdDevOfNumericAtts
Minimum standard deviation of attributes of the numeric type.
MinorityClassPercentage
3.76
Percentage of instances belonging to the least frequent class.
MinorityClassSize
65
Number of instances belonging to the least frequent class.
Show all 62 properties

22 tasks

Supervised Classification on car-evaluation
31 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: precision - target_feature: class
Supervised Classification on car-evaluation
0 runs - estimation_procedure: 4-fold Crossvalidation - target_feature: class
Learning Curve on car-evaluation
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
Learning Curve on car-evaluation
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
Learning Curve on car-evaluation
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
Learning Curve on car-evaluation
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
Learning Curve on car-evaluation
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
Learning Curve on car-evaluation
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
Learning Curve on car-evaluation
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
Learning Curve on car-evaluation
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
Supervised Data Stream Classification on car-evaluation
0 runs - estimation_procedure: Interleaved Test then Train - target_feature: class
Clustering on car-evaluation
0 runs - estimation_procedure: 50 times Clustering
Clustering on car-evaluation
0 runs
Clustering on car-evaluation
0 runs - estimation_procedure: 50 times Clustering
Clustering on car-evaluation
0 runs - estimation_procedure: 50 times Clustering
Clustering on car-evaluation
0 runs - estimation_procedure: 50 times Clustering
Clustering on car-evaluation
0 runs - estimation_procedure: 50 times Clustering
Clustering on car-evaluation
0 runs - estimation_procedure: 50 times Clustering
Clustering on car-evaluation
0 runs - estimation_procedure: 50 times Clustering
Clustering on car-evaluation
0 runs - estimation_procedure: 50 times Clustering
Clustering on car-evaluation
0 runs - estimation_procedure: 50 times Clustering
Clustering on car-evaluation
0 runs - estimation_procedure: 50 times Clustering
Define a new task