What is feature selection in machine learning?
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In machine learning and statistics, feature selection, also known as variableselection, attribute selection or variable subset selection, is the process ofselecting a subset of relevant features (variables, predictors) for use in model construction.
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A machine learning model is a file that has been trained to recognize certain types of patterns. You train a model over a set of data, providing it an algorithm that it can use to reason over and learn from those data
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