Data
Tour-and-Travels-Customer-Churn-Prediction

Tour-and-Travels-Customer-Churn-Prediction

active ARFF CC0: Public Domain Visibility: public Uploaded 02-06-2023 by Matthias Feurer
0 likes downloaded by 0 people , 0 total downloads 0 issues 0 downvotes
Issue #Downvotes for this reason By


Loading wiki
Help us complete this description Edit
A Tour & Travels Company Wants To Predict Whether A Customer Will Churn Or Not Based On Indicators Given Below. Help Build Predictive Models And Save The Company's Money. Perform Fascinating EDAs. The Data Was Used For Practice Purposes And Also During A Mini Hackathon, Its Completely Free To Use

7 features

Target (target)nominal2 unique values
0 missing
Agenumeric11 unique values
0 missing
FrequentFlyernominal2 unique values
60 missing
AnnualIncomeClassnominal3 unique values
0 missing
ServicesOptednumeric6 unique values
0 missing
AccountSyncedToSocialMedianominal2 unique values
0 missing
BookedHotelOrNotnominal2 unique values
0 missing
Show all 7 features

19 properties

NumberOfInstances
954
Number of instances (rows) of the dataset.
NumberOfFeatures
7
Number of attributes (columns) of the dataset.
NumberOfClasses
2
Number of distinct values of the target attribute (if it is nominal).
NumberOfMissingValues
60
Number of missing values in the dataset.
NumberOfInstancesWithMissingValues
60
Number of instances with at least one value missing.
NumberOfNumericFeatures
2
Number of numeric attributes.
NumberOfSymbolicFeatures
5
Number of nominal attributes.
PercentageOfBinaryFeatures
57.14
Percentage of binary attributes.
PercentageOfInstancesWithMissingValues
6.29
Percentage of instances having missing values.
AutoCorrelation
0.56
Average class difference between consecutive instances.
PercentageOfMissingValues
0.9
Percentage of missing values.
Dimensionality
0.01
Number of attributes divided by the number of instances.
PercentageOfNumericFeatures
28.57
Percentage of numeric attributes.
PercentageOfSymbolicFeatures
71.43
Percentage of nominal attributes.
MajorityClassPercentage
76.52
Percentage of instances belonging to the most frequent class.
MajorityClassSize
730
Number of instances belonging to the most frequent class.
MinorityClassPercentage
23.48
Percentage of instances belonging to the least frequent class.
MinorityClassSize
224
Number of instances belonging to the least frequent class.
NumberOfBinaryFeatures
4
Number of binary attributes.
Show all 19 properties

1 tasks

Supervised Classification on Tour-and-Travels-Customer-Churn-Prediction
0 runs - estimation_procedure: 4-fold Crossvalidation - target_feature: Target
Define a new task