10.2 Feature selection

The best global solution: subset of predictors with the best performance

… This might be computationally expensive, removing predictors should mitigate it.

To take into consideration:

• svm and neural network are sensible to irrelevant predictors
• linear and logistic are vulnerable to correlated predictors