search for: ntree

...ugh that's the content. Apologies to all for whom the following code is eye-burning. I am using foreach() to run a simulation on a randomForest model (actually conditional randomForest ... "party" package). The simulation is in two dimensions. examining how "mtry" and "ntrees" are related in terms of predictive accuracy in ten-fold cross validation. My problem is one of functional programming. The "loops" for simulation are functionalised so they can be passed to foreach and bundled of to my 4 cores. However, I'm making a mess of passing in arguments...

Buenas Tengo en un string guardado lo siguiente: > parametros [1] "ntree=10" "ntree=30" "ntree=50" "ntree=100" "ntree=200" Con un bucle for quiero ir metiendolo en el modelo, pero no se muy bien como hacerlo, ya que con deparse no me funciona, con get tampoco (obvio, no es un objeto), y no se muy bien como hacerlo de man...

Hi, I would like to use a random Forest model to get an idea about which variables from a dataset may have some prognostic significance in a smallish study. The default for the number of trees seems to be 500. I tried changing the default to ntree=2000 or ntree=200 and the results appear identical. Have changed mtry from mtry=5 to mtry=6 successfully. Have seen same problem on both a Windows machine and our linux system running 2.8 and 2.9. Sample code follws. Thanks in advance for help. Mary > m1<-as.formula(paste("as.fact...

Hi Sacha, On second thought, perhaps this is more the direction that you want ... X2 = cbind(X_train,y_train) colnames(X2)[3] = "y" regr2<-randomForest(y~x1+x2, data=X2,maxnodes=10, ntree=10) regr regr2 #Make prediction predictions= predict(regr, X_test) predictions2= predict(regr2, X_test) HTH, Eric On Tue, May 9, 2023 at 6:40?AM Eric Berger <ericjberger at gmail.com> wrote: > Hi, > One problem you have is with the command: > regr<-randomForest(y~x1+x2, data=...

I am having trouble with the rfImpute function in the randomForest package. Here is a sample... clunk.roughfix<-na.roughfix(clunk) > > clunk.impute<-rfImpute(CONVERT~.,data=clunk) ntree OOB 1 2 300: 26.80% 3.83% 85.37% ntree OOB 1 2 300: 18.56% 5.74% 51.22% Error in randomForest.default(xf, y, ntree = ntree, ..., do.trace = ntree, : NA not permitted in predictors So roughFix works, but rfImpute doesn't.... Thanks, Eric ent3c *at...

...s.  Si alguien se le ocurre algo se lo agradezco. df  <- read.table(file="xxxx.csv", header=T, sep=";", dec=",") df  <-na.omit(df) dfgrupo<-subset(df,df$parametroslaboratorio=="Aflatoxinas ByG") niveles <- as.numeric(dfgrupo$param) ntrees <- max(niveles)  xrange <- range(as.Date(dfgrupo$fecha)) yrange <- range(dfgrupo$z) plot(xrange, yrange, type = "n", xlab = "Fecha del interlaboratorio",       ylab = "Z-score") colors <- rainbow(ntrees) ltipo <- c(1:ntrees) char &l...

Gracias Carlos y Javier, ntrees es el nº de árboles y treesize sus respectivos tamaños (nº de nodos) ntree: Number of trees to grow. This should not be set to too small ...... treesize: Size of trees (number of nodes) in and ensemble. Puse 1000 árboles (ntree=1000), si, pero la función treesize te da el nº de nodos: tre...

Hello R-user! I am running R 2.7.0 on a Power Book (Tiger). (I am still R and statistics beginner) I tried rfImpute (randomForest) and as far as I understood should it replace NA`s using a proximity matrix: > set.seed(100000) > Subset5Imputed<-rfImpute(Sex~., data=Subset5) ntree OOB 1 2 300: 11.78% 12.36% 11.21% ntree OOB 1 2 300: 12.07% 12.64% 11.49% ntree OOB 1 2 300: 11.49% 11.21% 11.78% ntree OOB 1 2 300: 12.50% 12.93% 12.07% ntree OOB 1 2 300: 12.07% 12.36% 11.78% > str(Subset5Imputed)...

...311 4346 4300 4332 4336 4376 4319 4322 4344 4324 4324 4359 4342 4378 [65] 4344 4324 4314 4318 4344 4311 4359 4304 4288 .... hasta 1000 Con mtry le indicas el nº de variables que los árboles utilizarán (recomendado m=?p para árboles de clasificación, y m = p/3 para los de regresión), y con ntree el nº de árboles. Pero no encuentro cómo indicarle, aunque sea, un tamaño máximo para los árboles, y en cualquier caso, me parece extraño que se generen árboles con tantísimos nodos. Mi df tiene unas 13.000 entradas y 19 variables, pero eso no es nada especial para que me hiciese árboles ta...

Buenas tardes a todos. El paquete randomForest tiene la función treesize, que es el nº de nodos. Me dan valores realmente elevados (en torno a 1000), y eso me parece extraño. ¿sabéis si es así? Gracias, Manuel -- Dr Manuel Mendoza Department of Biogeography and Global Change National Museum of Natural History (MNCN) Spanish Scientific Council (CSIC) C/ Serrano 115bis, 28006 MADRID Spain

...24 4324 >> 4359 4342 4378 >> [65] 4344 4324 4314 4318 4344 4311 4359 4304 4288 .... hasta 1000 >> >> Con mtry le indicas el nº de variables que los árboles utilizarán >> (recomendado m=?p para árboles de clasificación, y m = p/3 para los de >> regresión), y con ntree el nº de árboles. Pero no encuentro cómo indicarle, >> aunque sea, un tamaño máximo para los árboles, y en cualquier caso, me >> parece extraño que se generen árboles con tantísimos nodos. Mi df tiene >> unas 13.000 entradas y 19 variables, pero eso no es nada especial para que &g...

....numeric(x1) x2=as.factor(x2) ? X=data.frame(x1,x2) y=y ? #Split data into training and test sets index=createDataPartition(y, p=0.75, list=FALSE) X_train = X[index, ] X_test = X[-index, ] y_train= y[index ] y_test = y[-index ] ? #Train de model regr=randomForest (x=X_train, y=y_train, maxnodes=10, ntree=10) regr<-randomForest(y~x1+x2, data=X_train, proximity=TRUE) regr ? #Make prediction predictions= predict(regr, X_test) ? result= X_test result['y'] = y_test result['prediction'] = predictions result ? # Import library for Metrics library(Metrics) ? print(paste0('MAE: '...

Dear List, I built a package under both Mac and Win 7 (both on R 2.12.0) . One of the functions in the package is set up to print a status message using the code below: if (verbose) if ((i %% 10) == 0 && i < ntree) message( "", i, "out of", ntree, "trees so far...") This works perfectly on the Mac. However, on Win 7 the message is not printed while the function is executing, but all when it finished running. Any hint what might be the issue? Thanks, Axel. [[alternative HTML...

Hi all, Can some one tell me the difference between the following two formulas? 1. epiG.rf <-randomForest(gamma~.,data=data, na.action = na.fail,ntree = 300,xtest = NULL, ytest = NULL,replace = T, proximity =F) 2.epiG.rf <-randomForest(gamma~.,data=data, na.action = na.fail,ntree = 300,xtest = NULL, ytest = NULL,replace = T, proximity =F) [[alternative HTML version deleted]]

...e achieved? Please find below a snippet showing how I use the randomForest library (on a multi-core machine). Any suggestion is appreciated. Cheers Lorenzo ########################################################################### rf_model <- foreach(iteration=1:cores, ntree = rep(50, 4), .combine = combine, .packages = "randomForest") %dopar%{ sink("log.txt", append=TRUE) cat(paste("Starting iteration",iteration,"\n")) randomForest(trainRF, prices_tr...

Hi, dears, I am processing some data with 60 columns, and 286,730 rows. Most columns are numerical value, and some columns are categorical value. It turns out that: when ntree sets to the default value (500), it says "can not allocate a vector of 1.1 GB size"; And when I set ntree to be a very small number like 10, it will run for hours. I use the (x,y) rather than the (formula,data). My code: > sdata<-read.csv("D://zSignal Dump//XXXX//XXXX.csv&quo...

Dear Researches, I am using RF (in regression way) for analize several metrics extract from image. I am tuning RF setting a loop using different range of mtry, tree and nodesize using the lower value of MSE-OOB mtry from 1 to 5 nodesize from1 to 10 tree from 1 to 500 using this paper as refery Palmer, D. S., O'Boyle, N. M., Glen, R. C., & Mitchell, J. B. O. (2007). Random Forest Models

Hi, is it correct that i need ~ 2GB RAM that it's possible to work with the default setting ntree=500 and a data.frame with 100.000 rows and max. 10 columns for training and testing? P.S. It's possible calculate approximate the memory demand for different settings with RF? Many thanks & regards, Christian

.../sw_climate_dataframe_",root.name,".csv",sep="") data <- read.csv(data.in) vars <- c("sm1","precip.spring","tmax.fall","precip.fall") #selected variables in data frame xdata <- as.data.frame(data[,vars]) ydata <- data[,5] ntree <- 2000 rf.pdplots <- function() { sel.rf <- randomForest(xdata,ydata,ntree=ntree,keep.forest=TRUE) par(family="sans",mfrow=c(2,2),mar=c(4,3,1,2),oma=c(0,3,0,0),mgp=c(2,1,0)) for (i in 1:length(vars)) { print((vars)[i]) partialPlot(sel.rf,xdata,vars[i],which.class=...

...uoting Carlos Ortega <cof en qualityexcellence.es>: > Hola, > > A "treesize()" le tienes que pasar como parámetro el objeto randomForest de > tu modelo. > Y obtiene el número de nodos de cada uno de los árboles que hayas indicado > en el valor del parámetros "ntrees" de "randomForest". Por defecto "ntrees" > tiene un valor de 500. > Mira qué valor tiene "ntrees" en tu modelo "randomForest", que seguramente > le hayas indicado un valor de 1000... > > Saludos, > Carlos Ortega > www.qualityexcelle...