Data
gbsg

gbsg

active ARFF Publicly available Visibility: public Uploaded 05-06-2024 by Lukas Burk
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Dataset gbsg from Python package 'pycox'

9 features

time (target)numeric1230 unique values
0 missing
x0numeric2 unique values
0 missing
x1numeric3 unique values
0 missing
x2numeric2 unique values
0 missing
x3numeric68 unique values
0 missing
x4numeric33 unique values
0 missing
x5numeric513 unique values
0 missing
x6numeric513 unique values
0 missing
statusnumeric2 unique values
0 missing
Show all 9 features

19 properties

NumberOfInstances
2232
Number of instances (rows) of the dataset.
NumberOfFeatures
9
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
9
Number of numeric attributes.
NumberOfSymbolicFeatures
0
Number of nominal attributes.
PercentageOfBinaryFeatures
0
Percentage of binary attributes.
PercentageOfInstancesWithMissingValues
0
Percentage of instances having missing values.
PercentageOfMissingValues
0
Percentage of missing values.
AutoCorrelation
-21.88
Average class difference between consecutive instances.
PercentageOfNumericFeatures
100
Percentage of numeric attributes.
Dimensionality
0
Number of attributes divided by the number of instances.
MajorityClassPercentage
Percentage of instances belonging to the most frequent class.
PercentageOfSymbolicFeatures
0
Percentage of nominal attributes.
MajorityClassSize
Number of instances belonging to the most frequent class.
MinorityClassPercentage
Percentage of instances belonging to the least frequent class.
MinorityClassSize
Number of instances belonging to the least frequent class.
NumberOfBinaryFeatures
0
Number of binary attributes.
Show all 19 properties

1 tasks

Supervised Regression on gbsg
0 runs - estimation_procedure: 5-fold Crossvalidation - target_feature: time
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