Hi, I am having hard time to interpret the weights of glm and rpart,
what are the models' weights for glm and rpart?
many thanks in advance,,,
greedy_ensemble <- caretEnsemble(
model_list,
metric="ROC",
trControl=trainControl(
number=2,
summaryFunction=twoClassSummary,
classProbs=TRUE
))
summary(greedy_ensemble)
The following models were ensembled: glm, rpart
They were weighted:
1.4489 -0.9559 -2.0442
The resulting ROC is: 0.7573
The fit for each individual model on the ROC is:
method ROC ROCSD
glm 0.6829333 0.05890797
rpart 0.7206765 0.06849524
Hi, I am having hard time to interpret the weights of glm and rpart, what are the models' weights for glm and rpart? many thanks in advance,,,
greedy_ensemble <- caretEnsemble( model_list, metric="ROC", trControl=trainControl( number=2, summaryFunction=twoClassSummary, classProbs=TRUE )) summary(greedy_ensemble) The following models were ensembled: glm, rpart They were weighted: 1.4489 -0.9559 -2.0442 The resulting ROC is: 0.7573 The fit for each individual model on the ROC is: method ROC ROCSD glm 0.6829333 0.05890797 rpart 0.7206765 0.06849524