I have a dataset with multiple criteria which are either "passed" (green) or "not passed" (red) and an output (passed or not passed) -> see table.

Also the criteria have a chronological order so first criteria 1 then criteria 2 and so on..

My question is: Which algorithms/approaches could be used to gain insights into dependencies/correlations between the inputs and the output? I have a lot of input criteria and just a single output.enter image description here

  • $\begingroup$ You should try Bernoulli Naive Bayes, Logistic Regression and Random Forests Classifier $\endgroup$ Apr 27 at 17:39

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