search for: carettrain

Hi. Can anyone suggest how to use the output of pcaNNet() to construct a confusion matrix possibly using confusionMatrix()? Thank you. -- View this message in context: http://www.nabble.com/pcaNNet-confusion-tp24422000p24422000.html Sent from the R help mailing list archive at Nabble.com.

Hi all, I am doing binary classification and want to improve the classification results on imbalanced response data. Currently the performance is poor. Are there ways I could improve the performance? I could either try different classification methodologies, or try exploring the data more, and throwing away noisy data, and manipulate the data more before sending into the classifiers. I was

Hi   I want to do leave-one-out cross-validation for multinomial logistic regression in R. I did multinomial logistic reg. by package nnet in R. How I do validation? by which function? response variable has 7 levels   please help me   Thanks alot Azam [[alternative HTML version deleted]]

Is it somehow possible to use the the predict method of the raster package with a prediction model obtained using caret's train()? / predict(rasterStack, carettrain, filename="...", progress='text', format="BSQ", datatype='INT1U', type='response', overwrite=TRUE) / Thank you -- View this message in context: http://r.789695.n4.nabble.com/predict-pixels-of-raster-using-caret-derived-models-tp4642704.html S...

Hi R-helpers, Can some one tell me how to train 'mynn' of this type?: mynn <- nnet(y ~ x1 + ..+ x8, data = lgist, size = 2, rang = 0.1, decay = 5e-4, maxit = 200) I assume that this nn is untrained, and to train I have to split the original data into train:test data set, do leave-one-out refitting to refine the weights (please straighten this up if I was wrong). I just don't know

Dear R expert I have come across the GBM package for R and it seemed appropriate for my research. I am trying to predict the number of FPGA resources required by a Software Function if it were mapped onto hardware. As input I use software metrics (a lot of them). I already use several regression techniques, and the graphs I produce with GBM look promising. Now my question... I see that the

Forgive the newbie question, I want to select random rows from my data.frame to create a test set (which I can do) but then I want to create a training set using whats left over. Example code: acc <- read.table("accOUT.txt", header=T, sep = ",", row.names=1) #select 400 random rows in data training <- acc[sample(1:nrow(acc), 400, replace=TRUE),] #try to get whats left

Hi: I'm starting a research of Support Vector Regression. I want to obtain a model to predict a property A with a set of property B, C, D, ... This problem is very common for example in QSAR models. I want to know some examples and package that could help me in this way. I know about caret and e1071. But I' don't know if this package can work with continues variables.?