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kNN () is often a DMwR deal accustomed to train the k-closest neighbor model in R. Knowledge normalization can even be performed previous to using the schooling model to educate the information. Clustering
Glm () is a sort of stats bundle that is definitely employed for coaching the logistic regression in R. It has a linear selection boundary that will help you to classify numerous knowledge points.
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