Data
test_dsn

test_dsn

active ARFF Unknown Visibility: public Uploaded 06-10-2022 by louis geiler
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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)numeric2 unique values
0 missing
customer_idstring1400 unique values
0 missing
network_agenumeric1038 unique values
0 missing
customer_tenure_in_monthnumeric1038 unique values
0 missing
total_spend_in_months_1_and_2_of_2017numeric1387 unique values
0 missing
total_sms_spendnumeric712 unique values
0 missing
total_data_spendnumeric241 unique values
0 missing
total_data_consumptionnumeric1394 unique values
0 missing
total_unique_callsnumeric503 unique values
0 missing
total_onnet_spend_numeric851 unique values
0 missing
total_offnet_spendnumeric1126 unique values
0 missing
total_call_centre_complaint_callsnumeric19 unique values
0 missing
network_type_subscription_in_month_1string3 unique values
175 missing
network_type_subscription_in_month_2string3 unique values
144 missing
most_loved_competitor_network_in_in_month_1string7 unique values
1 missing
most_loved_competitor_network_in_in_month_2string6 unique values
1 missing

19 properties

1400
Number of instances (rows) of the dataset.
16
Number of attributes (columns) of the dataset.
0
Number of distinct values of the target attribute (if it is nominal).
321
Number of missing values in the dataset.
198
Number of instances with at least one value missing.
11
Number of numeric attributes.
0
Number of nominal attributes.
0
Percentage of binary attributes.
14.14
Percentage of instances having missing values.
1.43
Percentage of missing values.
0.97
Average class difference between consecutive instances.
68.75
Percentage of numeric attributes.
0.01
Number of attributes divided by the number of instances.
0
Percentage of nominal attributes.
Percentage of instances belonging to the most frequent class.
Number of instances belonging to the most frequent class.
Percentage of instances belonging to the least frequent class.
Number of instances belonging to the least frequent class.
0
Number of binary attributes.

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