Corey Nyako

I am Corey Nyako, a data analyst in San Francisco.
Python D3.js Other

Human Resources Analytics

Classification Learning

This example applies a random forest model to HR data. The dataset describes employees of a company and which ones quit and which ones didn't quit. Using the data associated with the employee, the model can predict with 99% accuracy whether an employee will quit or not.

Try it yourself! The settings will be passed through to the model to predict if you are at risk of quitting (this fictional company).

Satisfaction Level 0.5
Last Evaluation Score 0.5
Number of Projects 2
Average Montly Hours 150
Time Spent at Company 2 Years
Work Accident? No
Promotion in Last 5 Years? No