.                       Quote Operator
AdaBagModel             Bagging with Classification Trees
AdaBoostModel           Boosting with Classification Trees
BARTMachineModel        Bayesian Additive Regression Trees Model
BARTModel               Bayesian Additive Regression Trees Model
BlackBoostModel         Gradient Boosting with Regression Trees
C50Model                C5.0 Decision Trees and Rule-Based Model
CForestModel            Conditional Random Forest Model
CoxModel                Proportional Hazards Regression Model
EarthModel              Multivariate Adaptive Regression Splines Model
FDAModel                Flexible and Penalized Discriminant Analysis
                        Models
GAMBoostModel           Gradient Boosting with Additive Models
GBMModel                Generalized Boosted Regression Model
GLMBoostModel           Gradient Boosting with Linear Models
GLMModel                Generalized Linear Model
GLMNetModel             GLM Lasso or Elasticnet Model
Grid                    Tuning Grid Control
ICHomes                 Iowa City Home Sales Dataset
KNNModel                Weighted k-Nearest Neighbor Model
LARSModel               Least Angle Regression, Lasso and Infinitesimal
                        Forward Stagewise Models
LDAModel                Linear Discriminant Analysis Model
LMModel                 Linear Models
MDAModel                Mixture Discriminant Analysis Model
MLControl               Resampling Controls
MLMetric                MLMetric Class Constructor
MLModel                 MLModel Class Constructor
MachineShop-package     MachineShop: Machine Learning Models and Tools
ModelFrame              ModelFrame Class
NNetModel               Neural Network Model
NaiveBayesModel         Naive Bayes Classifier Model
PLSModel                Partial Least Squares Model
POLRModel               Ordered Logistic or Probit Regression Model
QDAModel                Quadratic Discriminant Analysis Model
RPartModel              Recursive Partitioning and Regression Tree
                        Models
RandomForestModel       Random Forest Model
RangerModel             Fast Random Forest Model
SVMModel                Support Vector Machine Models
SelectedModel           Selected Model
StackedModel            Stacked Regression Model
SuperModel              Super Learner Model
SurvMatrix              SurvMatrix Class Constructor
SurvRegModel            Parametric Survival Model
TreeModel               Classification and Regression Tree Models
TunedModel              Tuned Model
XGBModel                Extreme Gradient Boosting Models
calibration             Model Calibration
confusion               Confusion Matrix
dependence              Partial Dependence
diff                    Model Performance Differences
expand.model            Model Expansion Over a Grid of Tuning
                        Parameters
extract                 Extract Parts of an Object
fit                     Model Fitting
lift                    Model Lift
metricinfo              Display Performance Metric Information
metrics                 Performance Metrics
modelinfo               Display Model Information
performance             Model Performance Metrics
performance_curve       Performance Curves
plot                    Model Performance Plots
predict                 Model Prediction
resample                Resample Estimation of Model Performance
response                Extract Response Variable
summary                 Model Performance Summary
t.test                  Paired t-Tests for Model Comparisons
tune                    Model Tuning and Selection
varimp                  Variable Importance
