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DataFunTalk
DataFunTalk
May 1, 2021 · Artificial Intelligence

How to Evaluate Machine Learning Model Performance Before Production Deployment

This tutorial walks through a practical case of predicting employee attrition, demonstrating how to assess and compare machine‑learning models using ROC AUC, confusion matrices, precision‑recall trade‑offs, and the Evidently library to generate performance dashboards, helping choose the best model for production.

HR attritionROC AUCevidently
0 likes · 17 min read
How to Evaluate Machine Learning Model Performance Before Production Deployment
Sohu Tech Products
Sohu Tech Products
Apr 14, 2021 · Artificial Intelligence

Evaluating Machine Learning Model Performance Before Production: An Employee Attrition Case Study

This tutorial walks through a complete workflow for assessing machine‑learning models—using a Kaggle HR attrition dataset, comparing Random Forest and Gradient Boosting via ROC‑AUC, precision, recall and segment analysis with the Evidently library—to decide which model is ready for production deployment.

ROC AUCemployee attritionevidently
0 likes · 17 min read
Evaluating Machine Learning Model Performance Before Production: An Employee Attrition Case Study