BloodBrain Blood Brain Barrier Data BoxCoxTrans Box-Cox and Exponential Transformations GermanCredit German Credit Data SLC14_1 Simulation Functions Sacramento Sacramento CA Home Prices as.matrix.confusionMatrix Confusion matrix as a table avNNet Neural Networks Using Model Averaging bag A General Framework For Bagging bagEarth Bagged Earth bagFDA Bagged FDA calibration Probability Calibration Plot caretSBF Selection By Filtering (SBF) Helper Functions cars Kelly Blue Book resale data for 2005 model year GM cars classDist Compute and predict the distances to class centroids confusionMatrix Create a confusion matrix confusionMatrix.train Estimate a Resampled Confusion Matrix cox2 COX-2 Activity Data createDataPartition Data Splitting functions defaultSummary Calculates performance across resamples densityplot.rfe Lattice functions for plotting resampling results of recursive feature selection dhfr Dihydrofolate Reductase Inhibitors Data diff.resamples Inferential Assessments About Model Performance dotPlot Create a dotplot of variable importance values dotplot.diff.resamples Lattice Functions for Visualizing Resampling Differences downSample Down- and Up-Sampling Imbalanced Data dummyVars Create A Full Set of Dummy Variables extractPrediction Extract predictions and class probabilities from train objects featurePlot Wrapper for Lattice Plotting of Predictor Variables filterVarImp Calculation of filter-based variable importance findCorrelation Determine highly correlated variables findLinearCombos Determine linear combinations in a matrix format.bagEarth Format 'bagEarth' objects gafs.default Genetic algorithm feature selection gafsControl Control parameters for GA and SA feature selection gafs_initial Ancillary genetic algorithm functions getSamplingInfo Get sampling info from a train model ggplot.rfe Plot RFE Performance Profiles ggplot.train Plot Method for the train Class histogram.train Lattice functions for plotting resampling results icr.formula Independent Component Regression index2vec Convert indicies to a binary vector knn3 k-Nearest Neighbour Classification knnreg k-Nearest Neighbour Regression learning_curve_dat Create Data to Plot a Learning Curve lift Lift Plot maxDissim Maximum Dissimilarity Sampling mdrr Multidrug Resistance Reversal (MDRR) Agent Data modelLookup Tools for Models Available in 'train' nearZeroVar Identification of near zero variance predictors negPredValue Calculate sensitivity, specificity and predictive values nullModel Fit a simple, non-informative model oil Fatty acid composition of commercial oils oneSE Selecting tuning Parameters panel.lift2 Lattice Panel Functions for Lift Plots panel.needle Needle Plot Lattice Panel pcaNNet Neural Networks with a Principal Component Step pickSizeBest Backwards Feature Selection Helper Functions plot.gafs Plot Method for the gafs and safs Classes plot.varImp.train Plotting variable importance measures plotClassProbs Plot Predicted Probabilities in Classification Models plotObsVsPred Plot Observed versus Predicted Results in Regression and Classification Models plsda Partial Least Squares and Sparse Partial Least Squares Discriminant Analysis pottery Pottery from Pre-Classical Sites in Italy prcomp.resamples Principal Components Analysis of Resampling Results preProcess Pre-Processing of Predictors predict.bagEarth Predicted values based on bagged Earth and FDA models predict.gafs Predict new samples predict.knn3 Predictions from k-Nearest Neighbors predict.knnreg Predictions from k-Nearest Neighbors Regression Model predictors List predictors used in the model print.confusionMatrix Print method for confusionMatrix print.train Print Method for the train Class recall Calculate recall, precision and F values resampleHist Plot the resampling distribution of the model statistics resampleSummary Summary of resampled performance estimates resamples Collation and Visualization of Resampling Results rfe Backwards Feature Selection rfeControl Controlling the Feature Selection Algorithms safs Simulated annealing feature selection safs_initial Ancillary simulated annealing functions sbf Selection By Filtering (SBF) sbfControl Control Object for Selection By Filtering (SBF) scat Morphometric Data on Scat segmentationData Cell Body Segmentation spatialSign Compute the multivariate spatial sign summary.bagEarth Summarize a bagged earth or FDA fit tecator Fat, Water and Protein Content of Meat Samples thresholder Generate Data to Choose a Probability Threshold train Fit Predictive Models over Different Tuning Parameters trainControl Control parameters for train train_model_list A List of Available Models in train update.safs Update or Re-fit a SA or GA Model update.train Update or Re-fit a Model varImp Calculation of variable importance for regression and classification models varImp.gafs Variable importances for GAs and SAs var_seq Sequences of Variables for Tuning xyplot.resamples Lattice Functions for Visualizing Resampling Results