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Binary predictive classification in R, with predictors consisting of multiple values

I am struggling currently with constructing a binary glm predictive classifier, due to an issue with dimensionality. I have a dataset of N samples where each sample has values for M entries (genes) ...
Sativus's user avatar
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Modelling approach for determining who to target with advertisments

This might be more appropriate for the Data Science stack exchange, but I'm fairly interested in the most 'scientific' or statistically sound approach. This is probably a fairly routine scenario in ...
dcl's user avatar
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Which model should I use to predict pass/fail scenario?

I am new to predictive modelling. I am unable to choose the correct model for predicting if a student will pass or fail a particular exam. My data set : Input variables: Total_tests_Taken , ...
Shailesh's user avatar