1) referring the process for "predictive maintenance" in rapidminer & the video in https://rapidminer.com/resource/data-science-predictive-maintenance/
in the given data set, the machine is characterised by the label : failure - yes/no.
Does it mean the machines of respective id is under failure - yes or no condition, for the given sensor data? how does that label value is decided?
2. In my case, If I can build a machine learning classification model for a 'single' machine with columns as sensor data ( eg. no of columns =5 , means no. of sensor = 5) with many rows of data. This classification model can classify the fault as Yes or No.
can I extend this 'classification' model into ' prediction' of failure?