# Predictive Analytics of Employee Attrition using K-Fold Methodologies

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/predictive-analytics-of-employee-attrition-using-k-fold-methodologies/

## Facts

| Field | Value |
| --- | --- |
| Author Names | V. Kakulapati,Shaik Subhani |
| Citations | 14 |
| DOI | 10.5815/ijmsc.2023.01.03 |
| Fields | Business, Management and Accounting,Computer Science |
| Open Access | true |
| OA Status | diamond |
| OA URL | http://www.mecs-press.org/ijmsc/ijmsc-v9-n1/IJMSC-V9-N1-3.pdf |
| OpenAlex ID | https://openalex.org/W4320922574 |
| Type | article |
| Year | 2023 |

## Paper authors

- [Shaik Subhani](https://scholariq.org/researchers/shaik-subhani/)

## Paper journal

- [International Journal of Mathematical Sciences and Computing](https://scholariq.org/journals/international-journal-of-mathematical-sciences-and-computing/)

## Paper primary topic

- [Business, Management and Accounting](https://scholariq.org/topics/business-management-and-accounting/)

## Paper topics

- [Customer churn and segmentation](https://scholariq.org/topics/customer-churn-and-segmentation/)
- [Imbalanced Data Classification Techniques](https://scholariq.org/topics/imbalanced-data-classification-techniques/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.