About

I have made the Employee Attrition Model on KNIME and Excel. This Model will be trained using Logistic Regression and will predict whether an employee will stay (or) leave the organization based on various parameters.

 

Explanation

This model is based on parameters like age, education levels, distance from home, business travel frequency and monthly income. Initially, the variables are normalized with z-score. Later, the dataset is partitioned into two parts:

• 80% Training Set

• 20% Testing Set

Once the model is trained, it will be connected to a predictor where the model will be tested.

Results

Based on the Training given to the model:

• On MS Excel, the model got an accuracy of ~85%

• On KNIME, the model got an accuracy of 84%