{"Method":"ada","Model":"Boosted Classification Trees"}
{"Method":"AdaBag","Model":"Bagged AdaBoost"}
{"Method":"adaboost","Model":"AdaBoost Classification Trees"}
{"Method":"avNNet","Model":"Model Averaged Neural Network"}
{"Method":"bagEarth","Model":"Bagged MARS"}
{"Method":"bagEarthGCV","Model":"Bagged MARS using gCV Pruning"}
{"Method":"bagFDA","Model":"Bagged Flexible Discriminant Analysis"}
{"Method":"bagFDAGCV","Model":"Bagged FDA using gCV Pruning"}
{"Method":"bam","Model":"Generalized Additive Model using Splines"}
{"Method":"bayesglm","Model":"Bayesian Generalized Linear Model"}
{"Method":"blackboost","Model":"Boosted Tree"}
{"Method":"C5.0","Model":"C5.0"}
{"Method":"C5.0Rules","Model":"Single C5.0 Ruleset"}
{"Method":"C5.0Tree","Model":"Single C5.0 Tree"}
{"Method":"cforest","Model":"Conditional Inference Random Forest"}
{"Method":"ctree","Model":"Conditional Inference Tree"}
{"Method":"ctree2","Model":"Conditional Inference Tree"}
{"Method":"dnn","Model":"Stacked AutoEncoder Deep Neural Network"}
{"Method":"dwdLinear","Model":"Linear Distance Weighted Discrimination"}
{"Method":"dwdPoly","Model":"Distance Weighted Discrimination with Polynomial Kernel"}
{"Method":"dwdRadial","Model":"Distance Weighted Discrimination with Radial Basis Function Kernel"}
{"Method":"earth","Model":"Multivariate Adaptive Regression Spline"}
{"Method":"evtree","Model":"Tree Models from Genetic Algorithms"}
{"Method":"extraTrees","Model":"Random Forest by Randomization"}
{"Method":"fda","Model":"Flexible Discriminant Analysis"}
{"Method":"gam","Model":"Generalized Additive Model using Splines"}
{"Method":"gamboost","Model":"Boosted Generalized Additive Model"}
{"Method":"gamLoess","Model":"Generalized Additive Model using LOESS"}
{"Method":"gamSpline","Model":"Generalized Additive Model using Splines"}
{"Method":"gaussprPoly","Model":"Gaussian Process with Polynomial Kernel"}
{"Method":"gaussprRadial","Model":"Gaussian Process with Radial Basis Function Kernel"}
{"Method":"gbm","Model":"Stochastic Gradient Boosting"}
{"Method":"gcvEarth","Model":"Multivariate Adaptive Regression Splines"}
{"Method":"glm","Model":"Generalized Linear Model"}
{"Method":"glmboost","Model":"Boosted Generalized Linear Model"}
{"Method":"glmnet","Model":"glmnet"}
{"Method":"gpls","Model":"Generalized Partial Least Squares"}
{"Method":"hdda","Model":"High Dimensional Discriminant Analysis"}
{"Method":"J48","Model":"C4.5-like Trees"}
{"Method":"JRip","Model":"Rule-Based Classifier"}
{"Method":"kernelpls","Model":"Partial Least Squares"}
{"Method":"kknn","Model":"k-Nearest Neighbors"}
{"Method":"knn","Model":"k-Nearest Neighbors"}
{"Method":"lda","Model":"Linear Discriminant Analysis"}
{"Method":"lda2","Model":"Linear Discriminant Analysis"}
{"Method":"Linda","Model":"Robust Linear Discriminant Analysis"}
{"Method":"LMT","Model":"Logistic Model Trees"}
{"Method":"loclda","Model":"Localized Linear Discriminant Analysis"}
{"Method":"LogitBoost","Model":"Boosted Logistic Regression"}
{"Method":"mda","Model":"Mixture Discriminant Analysis"}
{"Method":"mlp","Model":"Multi-Layer Perceptron"}
{"Method":"mlpML","Model":"Multi-Layer Perceptron, with multiple layers"}
{"Method":"mlpSGD","Model":"Multilayer Perceptron Network by Stochastic Gradient Descent"}
{"Method":"mlpWeightDecay","Model":"Multi-Layer Perceptron"}
{"Method":"mlpWeightDecayML","Model":"Multi-Layer Perceptron, multiple layers"}
{"Method":"monmlp","Model":"Monotone Multi-Layer Perceptron Neural Network"}
{"Method":"msaenet","Model":"Multi-Step Adaptive MCP-Net"}
{"Method":"multinom","Model":"Penalized Multinomial Regression"}
{"Method":"naive_bayes","Model":"Naive Bayes"}
{"Method":"nb","Model":"Naive Bayes"}
{"Method":"nnet","Model":"Neural Network"}
{"Method":"nodeHarvest","Model":"Tree-Based Ensembles"}
{"Method":"null","Model":"Non-Informative Model"}
{"Method":"OneR","Model":"Single Rule Classification"}
{"Method":"ordinalNet","Model":"Penalized Ordinal Regression"}
{"Method":"ORFlog","Model":"Oblique Random Forest"}
{"Method":"ORFpls","Model":"Oblique Random Forest"}
{"Method":"ORFridge","Model":"Oblique Random Forest"}
{"Method":"ORFsvm","Model":"Oblique Random Forest"}
{"Method":"pam","Model":"Nearest Shrunken Centroids"}
{"Method":"parRF","Model":"Parallel Random Forest"}
{"Method":"PART","Model":"Rule-Based Classifier"}
{"Method":"pda","Model":"Penalized Discriminant Analysis"}
{"Method":"plr","Model":"Penalized Logistic Regression"}
{"Method":"pls","Model":"Partial Least Squares"}
{"Method":"plsRglm","Model":"Partial Least Squares Generalized Linear Models"}
{"Method":"PRIM","Model":"Patient Rule Induction Method"}
{"Method":"qda","Model":"Quadratic Discriminant Analysis"}
{"Method":"QdaCov","Model":"Robust Quadratic Discriminant Analysis"}
{"Method":"ranger","Model":"Random Forest"}
{"Method":"rbfDDA","Model":"Radial Basis Function Network"}
{"Method":"Rborist","Model":"Random Forest"}
{"Method":"rda","Model":"Regularized Discriminant Analysis"}
{"Method":"regLogistic","Model":"Regularized Logistic Regression"}
{"Method":"rf","Model":"Random Forest"}
{"Method":"rmda","Model":"Robust Mixture Discriminant Analysis"}
{"Method":"rotationForest","Model":"Rotation Forest"}
{"Method":"rotationForestCp","Model":"Rotation Forest"}
{"Method":"rpart","Model":"CART"}
{"Method":"rpart1SE","Model":"CART"}
{"Method":"rpart2","Model":"CART"}
{"Method":"RRF","Model":"Regularized Random Forest"}
{"Method":"RRFglobal","Model":"Regularized Random Forest"}
{"Method":"sda","Model":"Shrinkage Discriminant Analysis"}
{"Method":"sdwd","Model":"Sparse Distance Weighted Discrimination"}
{"Method":"simpls","Model":"Partial Least Squares"}
{"Method":"slda","Model":"Stabilized Linear Discriminant Analysis"}
{"Method":"sparseLDA","Model":"Sparse Linear Discriminant Analysis"}
{"Method":"spls","Model":"Sparse Partial Least Squares"}
{"Method":"svmLinear","Model":"Support Vector Machines with Linear Kernel"}
{"Method":"svmLinear2","Model":"Support Vector Machines with Linear Kernel"}
{"Method":"svmLinearWeights","Model":"Linear Support Vector Machines with Class Weights"}
{"Method":"svmPoly","Model":"Support Vector Machines with Polynomial Kernel"}
{"Method":"svmRadial","Model":"Support Vector Machines with Radial Basis Function Kernel"}
{"Method":"svmRadialCost","Model":"Support Vector Machines with Radial Basis Function Kernel"}
{"Method":"svmRadialSigma","Model":"Support Vector Machines with Radial Basis Function Kernel"}
{"Method":"svmRadialWeights","Model":"Support Vector Machines with Class Weights"}
{"Method":"treebag","Model":"Bagged CART"}
{"Method":"widekernelpls","Model":"Partial Least Squares"}
{"Method":"wsrf","Model":"Weighted Subspace Random Forest"}
{"Method":"xgbLinear","Model":"eXtreme Gradient Boosting"}
{"Method":"xgbTree","Model":"eXtreme Gradient Boosting"}
{"Method":"xyf","Model":"Self-Organizing Maps"}