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In supervised learning, a set of input variables, such as blood metabolite or gene expression levels, are used to predict a quantitative response variable like hormone level or a qualitative one ...
Machine learning is a branch of artificial intelligence ... K-Nearest Neighbors, and Support Vector Machine (SVM). You can also use ensemble methods (combinations of models), such as Random ...
One of the main reasons is that many loss functions are too sensitive to sample points far from their classes. In this paper, ...
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