Once you have a set of potential features, you must filter them to find the most "informative" ones to avoid "Big Data" noise and improve accuracy.
To prepare an (a core task in machine learning and data analysis), you must follow a systematic process of identifying, extracting, and selecting the variables that best describe the underlying patterns in your data. 1. Define the Objective 11139x
: Design separate classifiers using only one feature at a time. Select the one with the best accuracy. Once you have a set of potential features,