filterFeatures: Filter features by thresholding filter values.
In Najah-lshanableh/R-data-mining2: Machine Learning in R

First, calls generateFilterValuesData. Features are then selected via select and val.

1 2	filterFeatures(task, method = "randomForestSRC.rfsrc", fval = NULL, perc = NULL, abs = NULL, threshold = NULL, mandatory.feat = NULL, ...)

`task`	[`Task`] The task.
`method`	[`character(1)`] See `listFilterMethods`. Default is “randomForestSRC.rfsrc”.
`fval`	[`FilterValues`] Result of `generateFilterValuesData`. If you pass this, the filter values in the object are used for feature filtering. `method` and `...` are ignored then. Default is `NULL` and not used.
`perc`	[`numeric(1)`] If set, select `perc`*100 top scoring features. Mutually exclusive with arguments `abs` and `threshold`.
`abs`	[`numeric(1)`] If set, select `abs` top scoring features. Mutually exclusive with arguments `perc` and `threshold`.
`threshold`	[`numeric(1)`] If set, select features whose score exceeds `threshold`. Mutually exclusive with arguments `perc` and `abs`.
`mandatory.feat`	[`character`] Mandatory features which are always included regardless of their scores
`...`	[any] Passed down to selected filter method.