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Titanic

Titanic

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The goal is to predict the Fare. Variable description: pclass: A proxy for socio-economic status (SES) 1st = Upper 2nd = Middle 3rd = Lower age: Age is fractional if less than 1. If the age is estimated, is it in the form of xx.5 sibsp: The dataset defines family relations in this way... Sibling = brother, sister, stepbrother, stepsister Spouse = husband, wife (mistresses and fiances were ignored) parch: The dataset defines family relations in this way... Parent = mother, father Child = daughter, son, stepdaughter, stepson Some children travelled only with a nanny, therefore parch=0 for them

8 features

Fare (target)numeric280 unique values
0 missing
Agenumeric98 unique values
0 missing
Sexnumeric2 unique values
0 missing
sibspnumeric7 unique values
0 missing
Parchnumeric8 unique values
0 missing
Pclassnumeric3 unique values
0 missing
Embarkednumeric3 unique values
0 missing
X2urvivednumeric2 unique values
0 missing
Show all 8 features

62 properties

NumberOfInstances
1307
Number of instances (rows) of the dataset.
NumberOfFeatures
8
Number of attributes (columns) of the dataset.
NumberOfClasses
0
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
8
Number of numeric attributes.
NumberOfSymbolicFeatures
0
Number of nominal attributes.
Quartile1MutualInformation
First quartile of mutual information between the nominal attributes and the target attribute.
PercentageOfBinaryFeatures
0
Percentage of binary attributes.
PercentageOfInstancesWithMissingValues
0
Percentage of instances having missing values.
PercentageOfMissingValues
0
Percentage of missing values.
PercentageOfNumericFeatures
100
Percentage of numeric attributes.
PercentageOfSymbolicFeatures
0
Percentage of nominal attributes.
Quartile1AttributeEntropy
First quartile of entropy among attributes.
Quartile1KurtosisOfNumericAtts
-1.18
First quartile of kurtosis among attributes of the numeric type.
Quartile1MeansOfNumericAtts
0.36
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.
Quartile1SkewnessOfNumericAtts
-0.32
First quartile of skewness among attributes of the numeric type.
Quartile1StdDevOfNumericAtts
0.56
First quartile of standard deviation of attributes of the numeric type.
Quartile2AttributeEntropy
Second quartile (Median) of entropy among attributes.
Quartile2KurtosisOfNumericAtts
0.22
Second quartile (Median) of kurtosis among attributes of the numeric type.
Quartile2MeansOfNumericAtts
1
Second quartile (Median) of means among attributes of the numeric type.
Quartile2MutualInformation
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
Quartile2SkewnessOfNumericAtts
0.85
Second quartile (Median) of skewness among attributes of the numeric type.
Quartile2StdDevOfNumericAtts
0.85
Second quartile (Median) of standard deviation of attributes of the numeric type.
Quartile3AttributeEntropy
Third quartile of entropy among attributes.
Quartile3KurtosisOfNumericAtts
21.13
Third quartile of kurtosis among attributes of the numeric type.
Quartile3MeansOfNumericAtts
22.68
Third quartile of means among attributes of the numeric type.
Quartile3MutualInformation
Third quartile of mutual information between the nominal attributes and the target attribute.
Quartile3SkewnessOfNumericAtts
3.8
Third quartile of skewness among attributes of the numeric type.
Quartile3StdDevOfNumericAtts
9.92
Third quartile of standard deviation of attributes of the numeric type.
AutoCorrelation
-38.19
Average class difference between consecutive instances.
MeanMeansOfNumericAtts
8.5
Mean of means among attributes of the numeric type.
ClassEntropy
Entropy of the target attribute values.
Dimensionality
0.01
Number of attributes divided by the number of instances.
EquivalentNumberOfAtts
Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.
MajorityClassPercentage
Percentage of instances belonging to the most frequent class.
MajorityClassSize
Number of instances belonging to the most frequent class.
MaxAttributeEntropy
Maximum entropy among attributes.
MaxKurtosisOfNumericAtts
27.1
Maximum kurtosis among attributes of the numeric type.
MaxMeansOfNumericAtts
33.21
Maximum of means among attributes of the numeric type.
MaxMutualInformation
Maximum mutual information between the nominal attributes and the target attribute.
MaxNominalAttDistinctValues
The maximum number of distinct values among attributes of the nominal type.
MaxSkewnessOfNumericAtts
4.38
Maximum skewness among attributes of the numeric type.
MaxStdDevOfNumericAtts
51.75
Maximum standard deviation of attributes of the numeric type.
MeanAttributeEntropy
Average entropy of the attributes.
MeanKurtosisOfNumericAtts
8.16
Mean kurtosis among attributes of the numeric type.
NumberOfBinaryFeatures
0
Number of binary attributes.
MeanMutualInformation
Average mutual information between the nominal attributes and the target attribute.
MeanNoiseToSignalRatio
An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.
MeanNominalAttDistinctValues
Average number of distinct values among the attributes of the nominal type.
MeanSkewnessOfNumericAtts
1.55
Mean skewness among attributes of the numeric type.
MeanStdDevOfNumericAtts
8.64
Mean standard deviation of attributes of the numeric type.
MinAttributeEntropy
Minimal entropy among attributes.
MinKurtosisOfNumericAtts
-1.63
Minimum kurtosis among attributes of the numeric type.
MinMeansOfNumericAtts
0.26
Minimum of means among attributes of the numeric type.
MinMutualInformation
Minimal mutual information between the nominal attributes and the target attribute.
MinNominalAttDistinctValues
The minimal number of distinct values among attributes of the nominal type.
MinSkewnessOfNumericAtts
-1.13
Minimum skewness among attributes of the numeric type.
MinStdDevOfNumericAtts
0.44
Minimum standard deviation of attributes of the numeric type.
MinorityClassPercentage
Percentage of instances belonging to the least frequent class.
MinorityClassSize
Number of instances belonging to the least frequent class.
Show all 62 properties

11 tasks

Supervised Regression on Titanic
0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: mean_absolute_error - target_feature: Fare
Supervised Regression on Titanic
0 runs - estimation_procedure: 33% Holdout set - target_feature: Fare
Clustering on Titanic
0 runs - estimation_procedure: 50 times Clustering
Clustering on Titanic
0 runs - estimation_procedure: 50 times Clustering
Clustering on Titanic
0 runs - estimation_procedure: 50 times Clustering
Clustering on Titanic
0 runs - estimation_procedure: 50 times Clustering
Clustering on Titanic
0 runs - estimation_procedure: 50 times Clustering
Clustering on Titanic
0 runs - estimation_procedure: 50 times Clustering
Clustering on Titanic
0 runs - estimation_procedure: 50 times Clustering
Clustering on Titanic
0 runs - estimation_procedure: 50 times Clustering
Clustering on Titanic
0 runs - estimation_procedure: 50 times Clustering
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