I have a data-set/data-frame with columns Description, Department Name, Priority, Doctor name & Location.Description data comes as free text from from the UI.
Based on historical description's in the data-set, my data scientist (DS) says he can predict the Department Name value for a new incoming Description. However he says he cannot predict Priority, Doctor Name and Location!
Based on the historical data analysis/ML/mining, I understand the DS has come to that conclusion.
As someone aspiring to learn ML, what analysis/algorithms does one run on a data-set to determine which features can be predictable, which cannot?