I want to compare the accuracy of several learners/predictors and find out which gives the best accuracy. I have loaded the data, feed it to a Partioner, and obtain the training and test sets. After that I add a learner (e.g Random Forest), its predictor, and finally a Scorer. And I get its accuracy, fine and good.
However, I want several different learners/predictors, and can easily add them, each with their own Scorer giving its accuracy.
Then the problem: I want to feed all Accuracy scores to a node, which tells me which one was the best. I cannot find a node that accepts multiple inputs and combines them into a table that I can sort and find out the maximum. There is Joiner, which accepts two… but multiple?
If you’re building a classification model for this use case, you may want to try our AutoML verified component and see if it fits your needs. There are a number of models it can train and there are several related components on the hub for eXplainable Artificial Intelligence (XAI) and other purposes.
When you want to append the name then use a constant value column in each ml model and write the name. Other option would be to create a variable with the name
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