DEVELOPMENT... OpenML
Data
train

train

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test

12 features

PassengerIdnumeric891 unique values
0 missing
Survivednumeric2 unique values
0 missing
Pclassnumeric3 unique values
0 missing
Namestring891 unique values
0 missing
Sexstring2 unique values
0 missing
Agenumeric88 unique values
177 missing
SibSpnumeric7 unique values
0 missing
Parchnumeric7 unique values
0 missing
Ticketstring681 unique values
0 missing
Farenumeric248 unique values
0 missing
Cabinstring147 unique values
687 missing
Embarkedstring3 unique values
2 missing
Show all 12 features

19 properties

NumberOfInstances
891
Number of instances (rows) of the dataset.
NumberOfFeatures
12
Number of attributes (columns) of the dataset.
NumberOfClasses
Number of distinct values of the target attribute (if it is nominal).
NumberOfMissingValues
866
Number of missing values in the dataset.
NumberOfInstancesWithMissingValues
708
Number of instances with at least one value missing.
NumberOfNumericFeatures
7
Number of numeric attributes.
NumberOfSymbolicFeatures
0
Number of nominal attributes.
PercentageOfSymbolicFeatures
0
Percentage of nominal attributes.
AutoCorrelation
Average class difference between consecutive instances.
PercentageOfNumericFeatures
58.33
Percentage of numeric attributes.
PercentageOfMissingValues
8.1
Percentage of missing values.
PercentageOfInstancesWithMissingValues
79.46
Percentage of instances having missing values.
PercentageOfBinaryFeatures
0
Percentage of binary attributes.
NumberOfBinaryFeatures
0
Number of binary attributes.
MinorityClassSize
Number of instances belonging to the least frequent class.
MinorityClassPercentage
Percentage of instances belonging to the least frequent class.
MajorityClassSize
Number of instances belonging to the most frequent class.
MajorityClassPercentage
Percentage of instances belonging to the most frequent class.
Dimensionality
0.01
Number of attributes divided by the number of instances.
Show all 19 properties

7 tasks

Supervised Regression on train
0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: Survived
Clustering on train
0 runs - estimation_procedure: 50 times Clustering
Clustering on train
0 runs - estimation_procedure: 50 times Clustering
Clustering on train
0 runs - estimation_procedure: 50 times Clustering
Clustering on train
0 runs - estimation_procedure: 50 times Clustering
Clustering on train
0 runs - estimation_procedure: 50 times Clustering
Clustering on train
0 runs - estimation_procedure: 50 times Clustering
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