I would like to compare the performance of the following five algorithms on different text classification tasks*:
Question 1: Which paramesters are the most important to optimize for each method 1-5?
Question 2: What ranges should I give those parameters in the parameter optimization operator in order to avoid "boiling the ocean"?
Thanks in advance!
* each task has between 3 to 5 classes and the text length varies between 3 to 70 words per document / example
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Excellent suggestions from @Thomas_Ott as usual. I would add a couple more: