As we saw in the previous chapter, there are multiple suites of supervised learning algorithms that can be used to model prediction systems through a labelled training data which might predict a real number (in regression) or one or more discrete classes (in classification). Each method provides a set of features that can be modified or tuned to manipulate the capabilities of the model – which might have a significant effect on the ...
8. Tuning Supervised Learners
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