AUC - Threshold Independent Performance Measures for Probabilistic Classifiers

Various functions to compute the area under the curve of selected measures: The area under the sensitivity curve (AUSEC), the area under the specificity curve (AUSPC), the area under the accuracy curve (AUACC), and the area under the receiver operating characteristic curve (AUROC). Support for visualization and partial areas is included.

Last updated 3 years ago

5.37 score 7 dependents 424 scripts 2.6k downloads

genalg - R Based Genetic Algorithm

R based genetic algorithm for binary and floating point chromosomes.

Last updated 3 years ago

4.58 score 15 dependents 126 scripts 1.4k downloads

dummy - Automatic Creation of Dummies with Support for Predictive Modeling

Efficiently create dummies of all factors and character vectors in a data frame. Support is included for learning the categories on one data set (e.g., a training set) and deploying them on another (e.g., a test set).

Last updated 10 years ago

2.17 score 1 stars 148 scripts 819 downloads

imputeMissings - Impute Missing Values in a Predictive Context

Compute missing values on a training data set and impute them on a new data set. Current available options are median/mode and random forest.

Last updated 7 months ago

1.89 score 77 scripts 391 downloads

rotationForest - Fit and Deploy Rotation Forest Models

Fit and deploy rotation forest models ("Rodriguez, J.J., Kuncheva, L.I., 2006. Rotation forest: A new classifier ensemble method. IEEE Trans. Pattern Anal. Mach. Intell. 28, 1619-1630 <doi:10.1109/TPAMI.2006.211>") for binary classification. Rotation forest is an ensemble method where each base classifier (tree) is fit on the principal components of the variables of random partitions of the feature set.

Last updated 8 years ago

1.20 score 1 stars 16 scripts 831 downloads

interpretR - Binary Classifier and Regression Model Interpretation Functions

Compute permutation- based performance measures and create partial dependence plots for (cross-validated) 'randomForest' and 'ada' models.

Last updated 2 years ago

1.00 score 3 scripts 292 downloads

kernelFactory - Kernel Factory: An Ensemble of Kernel Machines

Binary classification based on an ensemble of kernel machines ("Ballings, M. and Van den Poel, D. (2013), Kernel Factory: An Ensemble of Kernel Machines. Expert Systems With Applications, 40(8), 2904-2913"). Kernel factory is an ensemble method where each base classifier (random forest) is fit on the kernel matrix of a subset of the training data.

Last updated 9 years ago

1.00 score 4 scripts 278 downloads