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Customer_Churn_Classification
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Customer_Churn_Classification
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CC BY 4.0
Visibility: public
Uploaded 19-11-2024 by
Anna Wiewer
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This dataset contains customer data for a classification task to predict churn based on behavioral and demographic features. The target variable 'exited' indicates whether a customer has churned (1) or not (0).
25 features
exited
(target)
nominal
2 unique values
0 missing
surname
numeric
2932 unique values
0 missing
creditscore
numeric
460 unique values
0 missing
age
numeric
73 unique values
0 missing
tenure
numeric
11 unique values
0 missing
balance
numeric
30239 unique values
0 missing
numofproducts
numeric
4 unique values
0 missing
hascrcard
numeric
2 unique values
0 missing
isactivemember
numeric
2 unique values
0 missing
estimatedsalary
numeric
55581 unique values
0 missing
surname_tfidf_0
numeric
1007 unique values
0 missing
surname_tfidf_1
numeric
1007 unique values
0 missing
surname_tfidf_2
numeric
1007 unique values
0 missing
surname_tfidf_3
numeric
1007 unique values
0 missing
surname_tfidf_4
numeric
1007 unique values
0 missing
france
numeric
2 unique values
0 missing
germany
numeric
2 unique values
0 missing
spain
numeric
2 unique values
0 missing
female
numeric
2 unique values
0 missing
male
numeric
2 unique values
0 missing
mem__no__products
numeric
5 unique values
0 missing
cred_bal_sal
numeric
72043 unique values
0 missing
bal_sal
numeric
64461 unique values
0 missing
tenure_age
numeric
444 unique values
0 missing
age_tenure_product
numeric
389 unique values
0 missing
Show all 25 features
19 properties
NumberOfInstances
175028
Number of instances (rows) of the dataset.
NumberOfFeatures
25
Number of attributes (columns) of the dataset.
NumberOfClasses
2
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
24
Number of numeric attributes.
NumberOfSymbolicFeatures
1
Number of nominal attributes.
PercentageOfBinaryFeatures
4
Percentage of binary attributes.
PercentageOfInstancesWithMissingValues
0
Percentage of instances having missing values.
PercentageOfMissingValues
0
Percentage of missing values.
AutoCorrelation
0.67
Average class difference between consecutive instances.
PercentageOfNumericFeatures
96
Percentage of numeric attributes.
Dimensionality
0
Number of attributes divided by the number of instances.
PercentageOfSymbolicFeatures
4
Percentage of nominal attributes.
MajorityClassPercentage
78.89
Percentage of instances belonging to the most frequent class.
MajorityClassSize
138071
Number of instances belonging to the most frequent class.
MinorityClassPercentage
21.11
Percentage of instances belonging to the least frequent class.
MinorityClassSize
36957
Number of instances belonging to the least frequent class.
NumberOfBinaryFeatures
1
Number of binary attributes.
Show all 19 properties
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