Research Article
An Improved Random Forest Algorithm for Predicting Employee Turnover
Table 3
Importance score of 30 features.
| No. | Feature | Score | No. | Feature | Score |
| 1 | MonthlyIncome | 0.2816 | 16 | EducationField | 0.0137 | 2 | OverTime | 0.2762 | 17 | WinningCount | 0.0100 | 3 | Age | 0.0665 | 18 | Gender | 0.0093 | 4 | DistanceFromHome | 0.0431 | 19 | NumberCompaniesWorked | 0.0073 | 5 | YearsatCompany | 0.0317 | 20 | HaveChildren | 0.0069 | 6 | PercentSalaryIncrease | 0.0306 | 21 | EnvironmentSatisfaction | 0.0065 | 7 | YearsinCurrentRole | 0.0289 | 22 | RelationshipSatisfaction | 0.0062 | 8 | TrainingTimesLastYear | 0.0257 | 23 | JobSatisfaction | 0.0060 | 9 | YearsSinceLastPromotion | 0.0250 | 24 | EmploymentNature | 0.0056 | 10 | YearswithCurrentManager | 0.0218 | 25 | MaritalStatus | 0.0036 | 11 | AvgWorkHours | 0.0211 | 26 | PerformanceRatingLastYear | 0.0031 | 12 | TotalWorkingYears | 0.0208 | 27 | WorkLifeBalance | 0.0015 | 13 | JobLevel | 0.0173 | 28 | PhysicalCondition | 0.0007 | 14 | Education | 0.0141 | 29 | JobRole | 0.0007 | 15 | DepartmentType | 0.0140 | 30 | NativePlace | 0.0004 |
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