tuneRanger - Tune Random Forest of the 'ranger' Package

Tuning random forest with one line. The package is mainly based on the packages 'ranger' and 'mlrMBO'.

Last updated 11 months ago

6.38 score 33 stars 1 dependents 121 scripts 468 downloads

varImp - RF Variable Importance for Arbitrary Measures

Computes the random forest variable importance (VIMP) for the conditional inference random forest (cforest) of the 'party' package. Includes a function (varImp) that computes the VIMP for arbitrary measures from the 'measures' package. For calculating the VIMP regarding the measures accuracy and AUC two extra functions exist (varImpACC and varImpAUC).

Last updated 3 years ago

5.53 score 4 stars 1 dependents 70 scripts 947 downloads

measures - Performance Measures for Statistical Learning

Provides the biggest amount of statistical measures in the whole R world. Includes measures of regression, (multiclass) classification and multilabel classification. The measures come mainly from the 'mlr' package and were programed by several 'mlr' developers.

Last updated 4 years ago

4.42 score 1 stars 2 dependents 88 scripts 948 downloads

OOBCurve - Out of Bag Learning Curve

Provides functions to calculate the out-of-bag learning curve for random forests for any measure that is available in the 'mlr' package. Supported random forest packages are 'randomForest' and 'ranger' and trained models of these packages with the train function of 'mlr'. The main function is OOBCurve() that calculates the out-of-bag curve depending on the number of trees. With the OOBCurvePars() function out-of-bag curves can also be calculated for 'mtry', 'sample.fraction' and 'min.node.size' for the 'ranger' package.

Last updated 6 years ago

3.69 score 9 stars 11 scripts 184 downloads

quantregRanger - Quantile Regression Forests for 'ranger'

This is the implementation of quantile regression forests for the fast random forest package 'ranger'.

Last updated 7 years ago

cpp

3.60 score 8 stars 6 scripts 147 downloads