Hello Rapid Miner Community,
I am very new
to data mining and rapid miner in general. What I learned is, that a
model can be evaluated by dividing the data set into a training data set
and an evaluation data set, e.g. 90/10. How do I implement an
evaluation in the Auto Modeller? I have already looked in the community
for entries on this topic, but found nothing suitable.
To my dataset:
I
have a data set of 35k vehicles of which 1.5k vehicles have already
failed due to a defect in a component. In my analysis I only look at one
component at a time. My data consists of the respective IDs of the
vehicles, mileage, production date, first registration date, repair date
and various components of a vehicle such as engine, transmission,
brake, weight variant, etc. In addition I analyze the components of the
vehicles, because I have an indication of a mileage from only 14k
vehicles out of these 35k. In total I have 22 columns.
My goal:
I
would like to create a time series analysis, with which I can drop out
the vehicles in 3 or 6 months or up to 200k km, for example.
My
following steps would be a time series analysis with Arima to create.
But first I want to understand and evaluate the results of the Auto
Modeler.
