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Predictive models are statistical models whose primary purpose is to predict other observations of a system optimally, as opposed to models whose purpose is to test a particular hypothesis or explain a phenomenon mechanistically. As such, predictive models place less emphasis on interpretability and more emphasis on performance.
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Prediction with randomForest (R) when some inputs have missing values (NA)
I have a fine randomForest classification model which I would like to use in an application that predicts the class of a new case. The new case has inevitably missing values. Predict won't work as suc …
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Prediction intervals for cubist model of R caret package
I am using model training function train from caret package to train cubist rule-based prediction model. How to generate the prediction intervals for a response variable of a new observation?
Here's …