similar to: Pruning trees in a Random Forest

Hi! I am dealing with random forest using R. Is there a way to sample a fixed no.of rows from a dataset for use with different trees in random Forest. To be more clear, my data set contains 1500 rows, and I am growing 500 trees in Random Forest Is it possible to sample only 500 rows of data from the data set and use it for different trees in the forest. I mean each tree of the forest should use

Dear mailinglist members, I was wondering if there was a way to re-evaluate the instances of a tree (in the forest) again after I have manually changed a splitpoint (or split variable) of a decision node. Here's an illustration: library("randomForest") forest.rf <- randomForest(formula = Species ~ ., data = iris, do.trace = TRUE, ntree = 3, mtry = 2, norm.votes = FALSE) # I am

Dear R-users, While making a prediction using the randomForest function (package randomForest) I'm getting the following error message: "Error in predict.randomForest(model, newdata = CV) : No forest component in the object" Here's my complete code. For reproducing this task, please find my 2 data sets attached ( http://www.nabble.com/file/p17855119/data.rar data.rar ).

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

Dear All, I am using randomForest to predict the final selling price of some items. As it often happens, I have a lot of (noisy) historical data, but the question is not so much about data cleaning. The dataset for which I need to carry out some predictions are fairly recent sales or even some sales that will took place in the near future. As a consequence, historical data should be somehow

The verbose option gives a display like: > rf.500 <- + randomForest(new.x,trn.y,do.trace=20,ntree=100,nodesize=500, + importance=T) | Out-of-bag | Tree | MSE %Var(y) | 20 | 0.9279 100.84 | What is the meaning of %var(y)>100%? I expected that to correspond to a model that was worse than random, but the predictions seem much better than that on

I'm working with the randomForest package and have successfully build a model. I'd like to go one step further however, and use the output from the model to construct a map using the output. My input data are spatial, and I have an independent set of rasterize maps for each of the predictor variables, to map the classification solution. Using the getTree function: >

Hi all, When running a randomForest run using the following command: forestplas=randomForest(Prev~.,data=plas,ntree=200000) print(forestplas) I get the following result: Call: randomForest(formula = Prev ~ ., data = plas, ntree = 2e+05, importance = TRUE) Type of random forest: regression Number of trees: 2e+05 No. of variables tried at each split: 5

On Mon, Jun 15, 2015 at 10:50 AM, mats petersson <mats at planetcatfish.com> wrote: > It will iterate over the instructions in the order that they are stored in > the module/function/basicblock that they belong to. And that SHOULD, > assuming llvm-dis does what it is expected to do, be the same order. > Thanks for the reply. What about instruction ordering across basic blocks?

On 6/16/15 1:09 AM, Nick Lewycky wrote: > Anirudh Sivaraman wrote: >> On Mon, Jun 15, 2015 at 10:50 AM, mats >> petersson<mats at planetcatfish.com> wrote: >>> It will iterate over the instructions in the order that they are >>> stored in >>> the module/function/basicblock that they belong to. And that SHOULD, >>> assuming llvm-dis does

What does a status value of -3 mean when I do a regression with RF and use the getTree function? left daughter right daughter split var split point status prediction 1 2 3 11 4.721000e+03 -3 15.8489576 2 4 5 5 6.500000e+00 -3 11.3240895 3 6 7 10 6.790674e+02 -3 23.7250079 4

Hi All, In the script below, the importance measure for column 4 (ie MeanDecreaseGini) indicated "Inf" for V7. Running the getTree command showed that "V7" had been selected at least twice in one of the trees for Random Forest. So the "Inf" command was not generated as a result of dividing the sum of the decreases by 0. Any suggestions on what may be causing the

I am implementing an image classification algorithm using the randomForest package. The training data consists of 31000+ training cases over 26 variables, plus one factor predictor variable (the training class). The main issue I am encountering is very low overall classification accuracy (a lot of confusion between classes). However, I know from other classifications (including a regular decision

Hola, Eso es justamente lo que hace "caret" de una manera muy sencilla y sin que tú te tengas que preocupar de quedarte con el mejor bucket (del CV) o con la mejor combinación en tu "grid search". Te recomiendo que uses "caret" para esto.... Puedes incluso evaluar los dos algoritmos "RF" y "svm" a la vez y conocer realmente el nivel de precisión

On Jun 29, 2015 3:16 AM, "Evgeny Astigeevich" <evgeny.astigeevich at arm.com> wrote: > > Hi Anirudh, > > 'x' has a control dependency on 'y' because the value assigned to 'x' > depends on a path selected. This dependency can be converted into a data > dependency by means of a 'select' instruction because the control flow is >

On 6/29/15 5:16 AM, Evgeny Astigeevich wrote: > Hi Anirudh, > > 'x' has a control dependency on 'y' because the value assigned to 'x' > depends on a path selected. This dependency can be converted into a data > dependency by means of a 'select' instruction because the control flow is > simple. Just an FYI, there is an optimization called

Hello everyone I tried to use clust function using "hclustWard" clustering method The distance mesaured I have used is "rf" The data used is in the form of data frame (it is not a distance matrix) - sd.df The piece of code I have used is: c1 <- clust(sd.df,k=6,method="hclustWard",distMethod="rf") But I get the following error message, Error in if (n

Hello I am anirudh, I need help to write script to fetch detail like ips, speedlimit from mysql and add htb rules at the starting of the server. it is for a small isp i am working for. can any one help me out!, i had tried but fail to limit speed -- Anirudh Chowdary _______________________________________________ LARTC mailing list LARTC@mailman.ds9a.nl

Does inst_iterator (http://llvm.org/docs/ProgrammersManual.html#iterating-over-the-instruction-in-a-function) guarantee that the iterated instructions are in program order: the order of instructions printed by llvm-dis? Thanks in advance, Anirudh

Una vez que tienes la técnica y los parámetros óptimos resultantes de la validación cruzada, ya tienes el modelo que necesitas, NO tienes que hacer nada más. Si vuelves a modelar con todos los datos todo el trabajo de validación que has hecho lo envías a hacer gárgaras. Estarías construyendo un modelo con sobreajuste. Para quedarte tranquilo, haz la prueba, coge el modelo resultante de la