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churn

churn

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A dataset relating characteristics of telephony account features and usage and whether or not the customer churned. Originally used in Discovering Knowledge in Data: An Introduction to Data Mining.Source: https://www.secs.ac.in/wp-content/CSE_PORTAL/DataMining_Daniel.pdf

21 features

class (target)numeric2 unique values
0 missing
total_night_minutesnumeric1853 unique values
0 missing
number_customer_service_callsnominal10 unique values
0 missing
voice_mail_plannominal2 unique values
0 missing
international_plannominal2 unique values
0 missing
area_codenominal3 unique values
0 missing
total_intl_chargenumeric170 unique values
0 missing
total_intl_callsnumeric21 unique values
0 missing
total_intl_minutesnumeric170 unique values
0 missing
total_night_chargenumeric1028 unique values
0 missing
total_night_callsnumeric131 unique values
0 missing
statenumeric51 unique values
0 missing
total_eve_chargenumeric1659 unique values
0 missing
total_eve_callsnumeric126 unique values
0 missing
total_eve_minutesnumeric1879 unique values
0 missing
total_day_chargenumeric1961 unique values
0 missing
total_day_callsnumeric123 unique values
0 missing
total_day_minutesnumeric1961 unique values
0 missing
number_vmail_messagesnumeric48 unique values
0 missing
phone_numbernumeric5000 unique values
0 missing
account_lengthnumeric218 unique values
0 missing
Show all 21 features

19 properties

NumberOfInstances
5000
Number of instances (rows) of the dataset.
NumberOfFeatures
21
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
17
Number of numeric attributes.
NumberOfSymbolicFeatures
4
Number of nominal attributes.
PercentageOfSymbolicFeatures
19.05
Percentage of nominal attributes.
AutoCorrelation
1
Average class difference between consecutive instances.
PercentageOfNumericFeatures
80.95
Percentage of numeric attributes.
PercentageOfMissingValues
0
Percentage of missing values.
PercentageOfInstancesWithMissingValues
0
Percentage of instances having missing values.
PercentageOfBinaryFeatures
9.52
Percentage of binary attributes.
NumberOfBinaryFeatures
2
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
Number of attributes divided by the number of instances.
Show all 19 properties

1 tasks

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