Data Driven Attrition Prediction In Enterprise Organization
Fuente:
Zenodo
Salvato in:
| Autori principali: | , , |
|---|---|
| Natura: | Recurso digital |
| Pubblicazione: |
Zenodo
2026
|
| Soggetti: | |
| Accesso online: | |
| Tags: |
Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
|
| _version_ | 1866901147684438016 |
|---|---|
| author | Rozina Naz Nidhi Tijare Shruti Lanjewar |
| author_facet | Rozina Naz Nidhi Tijare Shruti Lanjewar |
| contents | <p>As employee attrition become a serious problem for companies as it affects productivity, disrupts work, and increases hiring costs. To come out of this problem, this paper brings a machine learning – based system which can predicts employee attrition using HR data. This system analyses historical employee records to identify trends such as is employee is willing to leave the company or voluntary resignation. The dataset should be clean and organized before applying the machine learning model, this also contain the algorithm such as logistic regression and random forest. This system works better than the traditional system as it predicts the risk of employee who is going to leave. performs better than traditional methods. This helps HR teams in planning effective retention strategies.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_19666877 |
| institution | Zenodo |
| language | |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Data Driven Attrition Prediction In Enterprise Organization Rozina Naz Nidhi Tijare Shruti Lanjewar Employee Attrition, HR Analytics, Machine Learning, Prediction Modelling, Workforce Retention. <p>As employee attrition become a serious problem for companies as it affects productivity, disrupts work, and increases hiring costs. To come out of this problem, this paper brings a machine learning – based system which can predicts employee attrition using HR data. This system analyses historical employee records to identify trends such as is employee is willing to leave the company or voluntary resignation. The dataset should be clean and organized before applying the machine learning model, this also contain the algorithm such as logistic regression and random forest. This system works better than the traditional system as it predicts the risk of employee who is going to leave. performs better than traditional methods. This helps HR teams in planning effective retention strategies.</p> |
| title | Data Driven Attrition Prediction In Enterprise Organization |
| topic | Employee Attrition, HR Analytics, Machine Learning, Prediction Modelling, Workforce Retention. |
| url | https://doi.org/10.5281/zenodo.19666877 |