Optim.object: Optimized Classifier Object

In OptimClassifier: Create the Best Train for Classification Models

Description

These are objects representing different fitted models.

Value

Type	character string: the method used to fit the model. At the moment the following models are implemented: "LM" (lm), "GLM" (glm), "LMM" (lmer), "CART" (rpart), "DA" (lda and qda), "NN" (nnet) and "SVM" (svm).
Models	a data.frame whose content summarize the different models generated, ordered for selected criterion
Model	a list of the models generated
Predict	a list of the predicts generated
Thresholds	a list whose content data.frames that summarize the different thresholds tested. This component is only available in LM, GLM, NN and SVM
Confussion_Matrixs	a data.frame whose content summarize the different models generated
Data	a list which training and testing datasets
Inference Tests	a data.frame with different diagnostics for models generated. It is only available in LM

Structure

The following components must be included in a legitimate Optim object.

OptimClassifier documentation built on Jan. 14, 2020, 5:10 p.m.