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.
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6.15 score 7 dependents 608 scripts 11k downloadsgenalg - R Based Genetic Algorithm
R based genetic algorithm for binary and floating point chromosomes.
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5.19 score 16 dependents 140 scripts 4.6k 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).
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2.30 score 1 stars 199 scripts 549 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.
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1.86 score 1 stars 15 scripts 4.8k 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.
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1.00 score 4 scripts 238 downloads