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 downloadsgenalg - 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 downloadsdummy - 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 downloadsimputeMissings - 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 downloadsrotationForest - 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 downloadsinterpretR - 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 downloadskernelFactory - 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