In #ML splitting data into #training and #testing sets is crucial. Sometimes, though, conceptual pitfalls may creep into the process. @carstenlange uses #KNIME to highlight #three common #pitfalls (and their solution) when #splitting #data into training and testing. Enjoy the data story!
PS: #HELPLINE . Want to discuss your article? Need help structuring your story? Make a date with the editors of Low Code for Data Science via Calendly → Calendly - Blog Writer