Good day, I have built a random forest classification model in Orange, but some of my input data (all continuous) are missing. Up to 30% of the data for some variables are missing. I understand the different ways of dealing with missing continuous data, but what is Orange's default? My classification model works and performs well if I just load the data and feed it into the trained classification. Is something happening in the background? I have looked at the 'help' section for random forest in Orange but can't find an obvious answer. Thanks! Ayesha


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