Hello,
does any one know how to interpret this output in R?
> Classification with logitboost
> fit <- logitboost(xlearn, ylearn, xtest, presel=50, mfinal=20)
> summarize(fit, ytest)
Minimal mcr: 0 achieved after 6 boosting step(s)
Fixed mcr: 0 achieved after 20 boosting step(s)
What is "mcr
Hello,
I have a question about "ipred" package. I am working on a data set which
contains 1000 individual swho came from 588 regions.
I calculated misclassification error rate with cross validation and its
smooted version "bootstrap 632" for different sample sizes in LDF. I am
doubting whether er
Hello,
I have a question about "ipred" package. I am working on a data set which
contains 1000 individual swho came from 588 regions.
I calculated misclassification error rate with cross validation and its
smooted version "bootstrap 632" for different sample sizes in LDF. I am
doubting whether er
urning Inf
Does anyone know what this means, or what I'm doing wrong? Thank you very much.
Assit. Prof. Meral YAY
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