Displaying 1 result from an estimated 1 matches for "dns_gap".
2018 Jan 24
1
random sample set for regression
...Y: all$AGB
X variables:
Variables=as.matrix(all[, c( "min", "max", "avg", "qav", "std",
"ske", "kur", "p50", "d50", "d06",
"d07", "d08", "dns_gap")])
rf.Model=randomForest(Variables, all$AGB, importance=T)
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Can I use Monte Carlo method or Bootstrap to simulate 1000 different sample
set and Run 1000 x times the Random Forest regression? But How can I do
that? Could somebody have an idea with the script...