Data
OpenML
Help
Sign in
×
Sign in
No account? Join OpenML
Forgot password
×
JavaScript is required to properly view the contents of this page!
OpenML
Explore
Data
Task
Flow
Run
Study
Task type
Measure
People
Help
Blog
Contact
Please cite us
test_dsn
ARFF
CSV
JSON
XML
RDF
test_dsn
active
ARFF
Unknown
Visibility: public
Uploaded 06-10-2022 by
louis geiler
0 likes
downloaded by 0 people , 0 total downloads
0 issues
0 downvotes
Add tag
Issue
#Downvotes for this reason
By
Loading wiki
Help us complete this description
Edit
Churn happens when customers are leaving their current service provider and moving to another one. This is a big business problem because it is more expensive to acquire a new customer than to keep an existing one from leaving.
16 features
churn_status
(target)
numeric
2 unique values
0 missing
customer_id
string
1400 unique values
0 missing
network_age
numeric
1038 unique values
0 missing
customer_tenure_in_month
numeric
1038 unique values
0 missing
total_spend_in_months_1_and_2_of_2017
numeric
1387 unique values
0 missing
total_sms_spend
numeric
712 unique values
0 missing
total_data_spend
numeric
241 unique values
0 missing
total_data_consumption
numeric
1394 unique values
0 missing
total_unique_calls
numeric
503 unique values
0 missing
total_onnet_spend_
numeric
851 unique values
0 missing
total_offnet_spend
numeric
1126 unique values
0 missing
total_call_centre_complaint_calls
numeric
19 unique values
0 missing
network_type_subscription_in_month_1
string
3 unique values
175 missing
network_type_subscription_in_month_2
string
3 unique values
144 missing
most_loved_competitor_network_in_in_month_1
string
7 unique values
1 missing
most_loved_competitor_network_in_in_month_2
string
6 unique values
1 missing
Show all 16 features
19 properties
NumberOfInstances
1400
Number of instances (rows) of the dataset.
NumberOfFeatures
16
Number of attributes (columns) of the dataset.
NumberOfClasses
0
Number of distinct values of the target attribute (if it is nominal).
NumberOfMissingValues
321
Number of missing values in the dataset.
NumberOfInstancesWithMissingValues
198
Number of instances with at least one value missing.
NumberOfNumericFeatures
11
Number of numeric attributes.
NumberOfSymbolicFeatures
0
Number of nominal attributes.
PercentageOfBinaryFeatures
0
Percentage of binary attributes.
PercentageOfInstancesWithMissingValues
14.14
Percentage of instances having missing values.
PercentageOfMissingValues
1.43
Percentage of missing values.
AutoCorrelation
0.97
Average class difference between consecutive instances.
PercentageOfNumericFeatures
68.75
Percentage of numeric attributes.
Dimensionality
0.01
Number of attributes divided by the number of instances.
PercentageOfSymbolicFeatures
0
Percentage of nominal attributes.
MajorityClassPercentage
Percentage of instances belonging to the most frequent class.
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
0 tasks
Define a new task