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"