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ibm-employee-attrition

ibm-employee-attrition

active ARFF Open Database License (ODbL) + Database Content License(DbCL) Visibility: public Uploaded 30-05-2022 by Florian Pfisterer
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IBM Employee Attrition Data The dataset used in the code pattern is supplied by Kaggle and contains HR analytics data of employees that stay and leave. The types of data include metrics such as education level, job satisfactions, and commmute distance. The dataset was obtained from https://github.com/IBM/employee-attrition-aif360. The dataset is available under the Open Dataset License and the Database Content License.

35 features

Attrition (target)nominal2 unique values
0 missing
Agenumeric43 unique values
0 missing
BusinessTravelnominal3 unique values
0 missing
DailyRatenumeric886 unique values
0 missing
Departmentnominal3 unique values
0 missing
DistanceFromHomenumeric29 unique values
0 missing
Educationnumeric5 unique values
0 missing
EducationFieldnominal6 unique values
0 missing
EmployeeCountnumeric1 unique values
0 missing
EmployeeNumbernumeric1470 unique values
0 missing
EnvironmentSatisfactionnumeric4 unique values
0 missing
Gendernominal2 unique values
0 missing
HourlyRatenumeric71 unique values
0 missing
JobInvolvementnumeric4 unique values
0 missing
JobLevelnumeric5 unique values
0 missing
JobRolenominal9 unique values
0 missing
JobSatisfactionnumeric4 unique values
0 missing
MaritalStatusnominal3 unique values
0 missing
MonthlyIncomenumeric1349 unique values
0 missing
MonthlyRatenumeric1427 unique values
0 missing
NumCompaniesWorkednumeric10 unique values
0 missing
Over18nominal1 unique values
0 missing
OverTimenominal2 unique values
0 missing
PercentSalaryHikenumeric15 unique values
0 missing
PerformanceRatingnumeric2 unique values
0 missing
RelationshipSatisfactionnumeric4 unique values
0 missing
StandardHoursnumeric1 unique values
0 missing
StockOptionLevelnumeric4 unique values
0 missing
TotalWorkingYearsnumeric40 unique values
0 missing
TrainingTimesLastYearnumeric7 unique values
0 missing
WorkLifeBalancenumeric4 unique values
0 missing
YearsAtCompanynumeric37 unique values
0 missing
YearsInCurrentRolenumeric19 unique values
0 missing
YearsSinceLastPromotionnumeric16 unique values
0 missing
YearsWithCurrManagernumeric18 unique values
0 missing
Show all 35 features

19 properties

NumberOfInstances
1470
Number of instances (rows) of the dataset.
NumberOfFeatures
35
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
26
Number of numeric attributes.
NumberOfSymbolicFeatures
9
Number of nominal attributes.
PercentageOfBinaryFeatures
8.57
Percentage of binary attributes.
PercentageOfInstancesWithMissingValues
0
Percentage of instances having missing values.
PercentageOfMissingValues
0
Percentage of missing values.
AutoCorrelation
0.74
Average class difference between consecutive instances.
PercentageOfNumericFeatures
74.29
Percentage of numeric attributes.
Dimensionality
0.02
Number of attributes divided by the number of instances.
PercentageOfSymbolicFeatures
25.71
Percentage of nominal attributes.
MajorityClassPercentage
83.88
Percentage of instances belonging to the most frequent class.
MajorityClassSize
1233
Number of instances belonging to the most frequent class.
MinorityClassPercentage
16.12
Percentage of instances belonging to the least frequent class.
MinorityClassSize
237
Number of instances belonging to the least frequent class.
NumberOfBinaryFeatures
3
Number of binary attributes.
Show all 19 properties

1 tasks

Supervised Classification on ibm-employee-attrition
0 runs - estimation_procedure: 10-fold Crossvalidation - target_feature: Attrition
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