13.1 Integrated Filter Methods

13.1.1 Standalone filter methods

Name	Package	Features	Task
cmim	praznik	Integer, Numeric, Factor, Ordered	Classif & Regr
gain_ratio	FSelectorRcpp	Integer, Numeric, Factor, Ordered	Classif & Regr
information_gain	FSelectorRcpp	Integer, Numeric, Factor, Ordered	Classif & Regr
symmetrical_uncertainty	FSelectorRcpp	Integer, Numeric, Factor, Ordered	Classif & Regr
variance	stats	Integer, Numeric	Classif & Regr
auc	Metrics	Integer, Numeric	Classif
disr	praznik	Integer, Numeric, Factor, Ordered	Classif
jmi	praznik	Integer, Numeric, Factor, Ordered	Classif
jmim	praznik	Integer, Numeric, Factor, Ordered	Classif
kruskal_test	stats	Integer, Numeric	Classif
mim	praznik	Integer, Numeric, Factor, Ordered	Classif
njmim	praznik	Integer, Numeric, Factor, Ordered	Classif
linear_correlation	stats	Integer, Numeric	Regr
rank_correlation	stats	Integer, Numeric	Regr
variable_importance	NA	NA	NA

13.1.2 Algorithms With Embedded Filter Methods

Please take a look at the implementation details of the respective learner which feature types are supported by the filter.

##  [1] "classif.featureless" "classif.ranger"      "classif.rpart"      
##  [4] "classif.xgboost"     "regr.featureless"    "regr.ranger"        
##  [7] "regr.rpart"          "regr.xgboost"        "surv.featureless"   
## [10] "surv.ranger"         "surv.rpart"