thanks for you response, i try predict command, it is doesn't work. i list a
simulate code below:
X - matrix(as.numeric(runif(400) 0.5), 50,8)
colnames(X) - paste(X, 1:ncol(X), sep=)
rownames(X) - paste(case, 1:nrow(X), sep=)
# Define expected result: Y = (NOT X2) AND X6
Y -
sorry to bother everyone.
i have question to get the coefficient and confidence interval in Logic
Regression with Logistic model. below i list the R code
X - matrix(as.numeric(runif(400) 0.5), 50,8)
colnames(X) - paste(X, 1:ncol(X), sep=)
rownames(X) - paste(case, 1:nrow(X), sep=)
# Define
Hi there:
recently i try to use LogicReg package for a tree model(logistics fit )
. i list my code and error below:
dim(model.dat)
[1] 48000 745
fit1 - logreg(resp = model.dat[,745], bin=model.dat[, 9:700], type = 3,
select = 3, ntrees = c(1,2), nleaves=c(1,7), )
Insufficient declaration
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