eneration" title="Permalink to this headline"></a></h3>
<p>Another way to speed up is to perform feature selection and remove redundant features before feature generation. This can reduce the number of candidate features to speed up. However, this method of speeding up may also hurt the performance, because uninformative features may also yield informative candidate features after transformation. In a Diabetes dataset, for example, when the goal is to forecast if a patient will be readmitted to the hospi