Predicting Employee Attrition — Supervised Classification Machine Learning

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High #EmployeeAttrition can be costly & disruptive. In this #HRanalytics series, @vijayv2k shows how to use #KNIME & #ML to predict employee attrition, analyze data, and boost retention with data-driven insights. Enjoy the data story!

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Juste one question.
Isn’t the fastest way to find the best classification model to choose AutoML?
Br

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Hi Brain, sure, AutoML is definitely an option and it works great for a quick prototyping.

But if you want to have more control on what models that are tested (include/exclude some), their hyper-parameters settings, adapt the approach to the use case (e.g., supervised vs unsupervised learning) or retain more control in general, AutoML presents some limits.

Hope it helps :slight_smile:
Roberto

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