Data
Insurance

Insurance

active ARFF Publicly available Visibility: public Uploaded 27-01-2023 by Young Lee
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  • Life Science Machine Learning study_340 study_341
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This dataset is for classification tasks, and has both continuous and categorical variables.

11 features

class (target)numeric2 unique values
0 missing
Upper_Agenumeric55 unique values
0 missing
Lower_Agenumeric60 unique values
0 missing
Reco_Policy_Premiumnumeric5417 unique values
0 missing
City_Codenominal36 unique values
0 missing
Accomodation_Typenominal2 unique values
0 missing
Reco_Insurance_Typenominal2 unique values
0 missing
Is_Spousenominal2 unique values
0 missing
Health Indicatornominal9 unique values
0 missing
Holding_Policy_Durationnominal15 unique values
0 missing
Holding_Policy_Typenominal4 unique values
0 missing
Show all 11 features

19 properties

NumberOfInstances
23548
Number of instances (rows) of the dataset.
NumberOfFeatures
11
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
4
Number of numeric attributes.
NumberOfSymbolicFeatures
7
Number of nominal attributes.
PercentageOfInstancesWithMissingValues
0
Percentage of instances having missing values.
AutoCorrelation
0.63
Average class difference between consecutive instances.
PercentageOfMissingValues
0
Percentage of missing values.
Dimensionality
0
Number of attributes divided by the number of instances.
PercentageOfNumericFeatures
36.36
Percentage of numeric attributes.
MajorityClassPercentage
Percentage of instances belonging to the most frequent class.
PercentageOfSymbolicFeatures
63.64
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
3
Number of binary attributes.
PercentageOfBinaryFeatures
27.27
Percentage of binary attributes.
Show all 19 properties

1 tasks

Supervised Classification on Insurance
0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class
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