Description Usage Arguments Value Author(s)
Predictions for MEml Make predictions using fitted MEml models: MEgbm, MEgbmrules, MErfrules, MEglmtree, MECTree, etc.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | predict.MECTree(object, newdata, type = c("prob", "class")[1], ...)
mkNewReTrms(object, newdata, re.form = NULL, allow.new.levels = FALSE)
mkNewReTrmsV2(object, newdata, re.form = NULL, na.action = na.pass,
allow.new.levels = FALSE)
predict.MEglmTree(object, newdata, type = c("prob", "class")[1], ...)
predict.MEgbm(object, newdata, type = c("prob", "raw")[1], ...)
predict.MEgbmRules(object, newdata, type = c("prob", "class")[1], ...)
predict.MErfRules(object, newdata, type = c("prob", "class")[1], ...)
predict.MEmixgbm(object, newdata, type = c("prob", "class")[1], ...)
|
object |
Fitted model from MECtree. |
newdata |
A new input data frame. |
type |
of prediction: "prop" for probabilities and "class" for class labels. |
... |
Further arguments passed to or from other methods. |
A list with items
prob |
predicted class probabilities |
class |
predicted class memberships obtained by thresholding class probabilities at the prevalence rate of the positive class |
Che Ngufor Ngufor.Che@mayo.edu
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