Health Discovery Corp (HDVY)

[alan81]

Nice try... but:
Datasets may contain irrelevant or redundant features that might make the machine-learning model more complicated. In this step, we aim to remove the irrelevant features which may cause an increase in run time, generate complex patterns, etc. The generated subset of features is used for further analysis. The feature selection can be done either by using Random Forest or Xgboost algorithm. In this experiment, the Xgboost algorithm is used to select the best features

The article does mention SVM, but there are several SVM algorithms. It does not mention RFE. The opposite is true, in that Intel is recommending alternatives to SVM-RFE.
Alan