Data
shrutime

shrutime

active ARFF Publicly available Visibility: public Uploaded 27-01-2023 by Young Lee
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  • Computer Systems Machine Learning
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This data set contains details of a bank's customers and the target variable is a binary variable reflecting the fact whether the customer left the bank (closed his account) or he continues to be a customer.Source: https://www.kaggle.com/datasets/shrutimechlearn/churn-modelling

11 features

class (target)numeric2 unique values
0 missing
CreditScorenumeric460 unique values
0 missing
Agenumeric70 unique values
0 missing
Balancenumeric6382 unique values
0 missing
EstimatedSalarynumeric9999 unique values
0 missing
Geographynominal3 unique values
0 missing
IsActiveMembernominal2 unique values
0 missing
Tenurenominal11 unique values
0 missing
Gendernominal2 unique values
0 missing
HasCrCardnominal2 unique values
0 missing
NumOfProductsnominal4 unique values
0 missing
Show all 11 features

19 properties

NumberOfInstances
10000
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
5
Number of numeric attributes.
NumberOfSymbolicFeatures
6
Number 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.
PercentageOfInstancesWithMissingValues
0
Percentage of instances having missing values.
AutoCorrelation
0.68
Average class difference between consecutive instances.
PercentageOfMissingValues
0
Percentage of missing values.
Dimensionality
0
Number of attributes divided by the number of instances.
PercentageOfNumericFeatures
45.45
Percentage of numeric attributes.
MajorityClassPercentage
Percentage of instances belonging to the most frequent class.
PercentageOfSymbolicFeatures
54.55
Percentage of nominal attributes.
Show all 19 properties

3 tasks

Supervised Classification on shrutime
0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class
Supervised Classification on shrutime
0 runs - estimation_procedure: 4-fold Crossvalidation - target_feature: class
Supervised Regression on shrutime
0 runs - estimation_procedure: 10-fold Crossvalidation - target_feature: class
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