I created a process of prediction models which includes three different algorithms (K-NN, Naive Bayes and decision tree).
Those models are performed at the same time by using the 'Loop Parameters' and 'Select Subprocesses' Operator. Now the model with the highest performance shall be applied for the chosen data set. So my questions are:
1)How to find the best model/measure the performance of all three models at the same time?
2)How to use that particular model?
Alternatively each algorithm could be used in three seperate processes and individually measured the performance. But I would like to have all models in one process.
Thank you for the help!