Alpha-2
Alpha-2 is a machine learning algorithm that is used for feature selection. It is a supervised learning algorithm that ranks the importance of features in a dataset. The algorithm works by iteratively removing the least important feature from the dataset until a desired number of features is reached. Alpha-2 is particularly useful in high-dimensional datasets where there are many features that may not be relevant to the outcome being predicted. By removing these irrelevant features, Alpha-2 can improve the accuracy and efficiency of machine learning models. Alpha-2 is also known as Recursive Feature Elimination (RFE).
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