Tabular Classification
Scikit-learn
hr-analytics
fairness
logistic-regression
ai-governance
model-card
Instructions to use drdavidprivacy/RetainIQ with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use drdavidprivacy/RetainIQ with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("drdavidprivacy/RetainIQ", "sklearn_model.joblib") ) # only load pickle files from sources you trust # read more about it here https://skops.readthedocs.io/en/stable/persistence.html - Notebooks
- Google Colab
- Kaggle
| feature,coefficient,pushes_toward,strength | |
| (intercept / baseline),-0.3921,baseline,0.3921 | |
| OverTime_Yes,0.6875,LEAVING,0.6875 | |
| JobRole_Laboratory Technician,0.6765,LEAVING,0.6765 | |
| BusinessTravel_Travel_Frequently,0.5844,LEAVING,0.5844 | |
| JobRole_Sales Representative,0.442,LEAVING,0.442 | |
| YearsSinceLastPromotion,0.424,LEAVING,0.424 | |
| NumCompaniesWorked,0.3825,LEAVING,0.3825 | |
| MaritalStatus_Single,0.3768,LEAVING,0.3768 | |
| Department_Sales,0.3133,LEAVING,0.3133 | |
| DistanceFromHome,0.2776,LEAVING,0.2776 | |
| EducationField_Technical Degree,0.2594,LEAVING,0.2594 | |
| EducationField_Human Resources,0.2087,LEAVING,0.2087 | |
| YearsAtCompany,0.1476,LEAVING,0.1476 | |
| JobLevel,0.1455,LEAVING,0.1455 | |
| Gender_Male,0.1338,LEAVING,0.1338 | |
| EducationField_Marketing,0.1042,LEAVING,0.1042 | |
| PerformanceRating,0.0997,LEAVING,0.0997 | |
| JobRole_Human Resources,0.0791,LEAVING,0.0791 | |
| MonthlyRate,0.0225,LEAVING,0.0225 | |
| Department_Human Resources,0.0066,LEAVING,0.0066 | |
| BusinessTravel_Travel_Rarely,0.0035,LEAVING,0.0035 | |
| Education,0.0004,LEAVING,0.0004 | |
| JobRole_Manager,-0.0014,staying,0.0014 | |
| HourlyRate,-0.0355,staying,0.0355 | |
| MaritalStatus_Married,-0.0717,staying,0.0717 | |
| JobRole_Sales Executive,-0.0931,staying,0.0931 | |
| EducationField_Medical,-0.1144,staying,0.1144 | |
| EducationField_Life Sciences,-0.1174,staying,0.1174 | |
| Gender_Female,-0.1355,staying,0.1355 | |
| TrainingTimesLastYear,-0.1364,staying,0.1364 | |
| JobRole_Manufacturing Director,-0.1474,staying,0.1474 | |
| PercentSalaryHike,-0.1816,staying,0.1816 | |
| DailyRate,-0.1958,staying,0.1958 | |
| WorkLifeBalance,-0.2006,staying,0.2006 | |
| YearsInCurrentRole,-0.2111,staying,0.2111 | |
| StockOptionLevel,-0.2111,staying,0.2111 | |
| RelationshipSatisfaction,-0.2158,staying,0.2158 | |
| MonthlyIncome,-0.2239,staying,0.2239 | |
| JobInvolvement,-0.2751,staying,0.2751 | |
| Age,-0.2794,staying,0.2794 | |
| JobRole_Research Scientist,-0.2813,staying,0.2813 | |
| MaritalStatus_Divorced,-0.3068,staying,0.3068 | |
| JobRole_Healthcare Representative,-0.313,staying,0.313 | |
| Department_Research & Development,-0.3215,staying,0.3215 | |
| JobSatisfaction,-0.34,staying,0.34 | |
| EducationField_Other,-0.3422,staying,0.3422 | |
| YearsWithCurrManager,-0.3624,staying,0.3624 | |
| JobRole_Research Director,-0.3631,staying,0.3631 | |
| EnvironmentSatisfaction,-0.3664,staying,0.3664 | |
| TotalWorkingYears,-0.3908,staying,0.3908 | |
| BusinessTravel_Non-Travel,-0.5896,staying,0.5896 | |
| OverTime_No,-0.6892,staying,0.6892 | |