Missing values warning with Adaptive Resampling

HI!Max! I am dealing with a multiple class classification problem and constantly occur the following warning: Warning messages: 1: In adaptiveWorkflow(x = x, y = y, wts = weights, info = trainInfo, : There were missing values in resampled performance measures. 2: In adaptiveWorkflow(x = x, y = y, wts = weights, info = trainInfo, : There were missing values in resampled performance measures.

Because the real data are too big to upload, so I download data from the following link: http://archive.ics.uci.edu/ml/datasets/Glass+Identification. And runing it the same as to my real data, the warning is the same. Is this a bug or something else? Besides avNNet seems not working well on mac with doMC.

glass        <- read.csv("glass.csv", header = FALSE)
names(glass) <- c("id","RI","Na", "Mg", "Al", "Si", "K", "Ca","Ba", "Fe", "Type")
glass        <- glass[,-1]
glass$Type   <- factor(ifelse(glass$Type==1,"x1",
                       ifelse(glass$Type==2,"x2",
                       ifelse(glass$Type==3,"x3",
                       ifelse(glass$Type==4,"x4",
                       ifelse(glass$Type==5,"x5",
                       ifelse(glass$Type==6,"x6","x7")))))))
# Type  Categorical
# Type of glass (1: float processed building windows,
#                2: nonfloat processed building windows,
#                3: float processed vehicle windows,
#                4: nonfloat processed vehicle windows,
#                5: containers,
#                6: tableware,
#                7: headlamps)

glass_sampling_vector <- createDataPartition(glass$Type, p = 0.80, list = FALSE)
glass_train <- glass[glass_sampling_vector,]
glass_test  <- glass[-glass_sampling_vector,]
library(parallel)
library(doParallel)
cl <- makeCluster(detectCores()-1)
registerDoParallel(cl)      #
library(caret)
set.seed(1)
Cctrl                <- trainControl(method          = "adaptive_cv",   repeats         = 5,
                                     classProbs      = TRUE,,
                                     returnResamp    = "final",         verboseIter     = TRUE,
                                     summaryFunction = multiClassSummary,
                                     adaptive        = list(min      = 5,
                                                            alpha    = 0.05,
                                                            method   = "BT",
                                                            complete = TRUE))

mod1 <- train(Type ~ ., data = glass_train,
               method = "avNNet",
               preProc = c("center", "scale"),
               tuneLength = 10,
               trControl = Cctrl,
               metric     = "logLoss")

stopCluster(cl)

o 16 models were eliminated due to linear dependencies
Loading required namespace: BradleyTerry2
x parameter filtering failed
o 84 eliminated;0 remains
x parameter filtering failed
o 100 eliminated;0 remains
x parameter filtering failed
o 100 eliminated;0 remains
x parameter filtering failed
o 100 eliminated;0 remains
x parameter filtering failed
.............
o 100 eliminated;0 remains
Aggregating results
Selecting tuning parameters
Fitting size = 11, decay = 0.00316, bag = FALSE on full training set
There were 12 warnings (use warnings() to see them)
 warnings()
Warning messages:
1: In adaptiveWorkflow(x = x, y = y, wts = weights, info = trainInfo,  ... :
  There were missing values in resampled performance measures.
2: In eval(expr, envir, enclos) : non-integer counts in a binomial glm!
3: In `levels<-`(`*tmp*`, value = if (nl == nL) as.character(labels) else paste0(labels,  ... :
  duplicated levels in factors are deprecated
4: In `levels<-`(`*tmp*`, value = if (nl == nL) as.character(labels) else paste0(labels,  ... :
  duplicated levels in factors are deprecated
5: In eval(expr, envir, enclos) : non-integer counts in a binomial glm!
6: In `levels<-`(`*tmp*`, value = if (nl == nL) as.character(labels) else paste0(labels,  ... :
  duplicated levels in factors are deprecated
7: In `levels<-`(`*tmp*`, value = if (nl == nL) as.character(labels) else paste0(labels,  ... :
  duplicated levels in factors are deprecated
8: In eval(expr, envir, enclos) : non-integer counts in a binomial glm!
9: In `levels<-`(`*tmp*`, value = if (nl == nL) as.character(labels) else paste0(labels,  ... :
  duplicated levels in factors are deprecated
10: In `levels<-`(`*tmp*`, value = if (nl == nL) as.character(labels) else paste0(labels,  ... :
  duplicated levels in factors are deprecated
11: In eval(expr, envir, enclos) : non-integer counts in a binomial glm!
12: In adaptiveWorkflow(x = x, y = y, wts = weights, info = trainInfo,  ... :
  There were missing values in resampled performance measures.

I just committed some changes that probably fix the issue. One of the numerical checks was failing so I added some extra error trapping. Please test if you can to validate the changes

It seems not working, besides the previous warning, new error occured "x parameter filtering failed:[1] "Error : evaluation nested too deeply: infinite recursion / options(expressions=)?\n" attr(,"class") [1] "try-error" attr(,"condition") <simpleError: evaluation nested too deeply: infinite recursion / options(expressions=)?> " The following is the running results: devtools::install_github('topepo/caret/pkg/caret')

library(caret) glass <- read.csv("glass.csv", header = FALSE) names(glass) <- c("id","RI","Na", "Mg", "Al", "Si", "K", "Ca","Ba", "Fe", "Type") glass <- glass[,-1] glass$Type <- factor(ifelse(glass$Type==1,"x1",

ifelse(glass$Type==2,"x2",

ifelse(glass$Type==3,"x3",

ifelse(glass$Type==4,"x4",

ifelse(glass$Type==5,"x5",

ifelse(glass$Type==6,"x6","x7")))))))

glass_sampling_vector <- createDataPartition(glass$Type, p = 0.80, list = FALSE) glass_train <- glass[glass_sampling_vector,] glass_test <- glass[-glass_sampling_vector,] library(parallel) library(doParallel) cl <- makeCluster(detectCores()-1) registerDoParallel(cl)

set.seed(1) Cctrl <- trainControl(method = "adaptive_cv", repeats = 5,

classProbs = TRUE,

returnResamp = "final", verboseIter = TRUE,

summaryFunction = multiClassSummary,

adaptive = list(min = 5,

alpha = 0.05,

method = "BT",

complete = TRUE))

mod1 <- train(Type ~ ., data = glass_train,

method = "avNNet",

preProc = c("center", "scale"),

tuneLength = 10,

trControl = Cctrl,

metric = "logLoss") o 16 models of 100 were eliminated due to linear dependencies x parameter filtering failed:[1] "Error in relevel.factor(fac, model$refcat) : \n 'ref' must be an existing level\n" attr(,"class") [1] "try-error" attr(,"condition") <simpleError in relevel.factor(fac, model$refcat): 'ref' must be an existing level>

o 84 eliminated;0 remains x parameter filtering failed:[1] "Error in relevel.factor(fac, model$refcat) : \n 'ref' must be an existing level\n" attr(,"class") [1] "try-error" attr(,"condition") <simpleError in relevel.factor(fac, model$refcat): 'ref' must be an existing level>

o 100 eliminated;0 remains x parameter filtering failed:[1] "Error in relevel.factor(fac, model$refcat) : \n 'ref' must be an existing level\n" attr(,"class") [1] "try-error" attr(,"condition") <simpleError in relevel.factor(fac, model$refcat): 'ref' must be an existing level>

o 100 eliminated;0 remains x parameter filtering failed:[1] "Error : evaluation nested too deeply: infinite recursion / options(expressions=)?\n" attr(,"class") [1] "try-error" attr(,"condition") <simpleError: evaluation nested too deeply: infinite recursion / options(expressions=)?>

o 100 eliminated;0 remains Aggregating results Selecting tuning parameters Fitting size = 15, decay = 0.0075, bag = FALSE on full training set There were 12 warnings (use warnings() to see them)

stopCluster(cl) warnings() Warning messages: 1: In adaptiveWorkflow(x = x, y = y, wts = weights, info = trainInfo, ... : There were missing values in resampled performance measures. 2: In eval(expr, envir, enclos) : non-integer counts in a binomial glm! 3: In levels<-(*tmp*, value = if (nl == nL) as.character(labels) else paste0(labels, ... : duplicated levels in factors are deprecated 4: In levels<-(*tmp*, value = if (nl == nL) as.character(labels) else paste0(labels, ... : duplicated levels in factors are deprecated 5: In eval(expr, envir, enclos) : non-integer counts in a binomial glm! 6: In levels<-(*tmp*, value = if (nl == nL) as.character(labels) else paste0(labels, ... : duplicated levels in factors are deprecated 7: In levels<-(*tmp*, value = if (nl == nL) as.character(labels) else paste0(labels, ... : duplicated levels in factors are deprecated 8: In eval(expr, envir, enclos) : non-integer counts in a binomial glm! 9: In levels<-(*tmp*, value = if (nl == nL) as.character(labels) else paste0(labels, ... : duplicated levels in factors are deprecated 10: In levels<-(*tmp*, value = if (nl == nL) as.character(labels) else paste0(labels, ... : duplicated levels in factors are deprecated 11: In eval(expr, envir, enclos) : non-integer counts in a binomial glm! 12: In adaptiveWorkflow(x = x, y = y, wts = weights, info = trainInfo, ... : There were missing values in resampled performance measures.

If change the Adaptive Resampling method with"method = "gls"", none new error showed. but the warning still occurs. ...... o no models eliminated; 3 remain Aggregating results Selecting tuning parameters Fitting size = 15, decay = 0.0178, bag = FALSE on full training set Warning messages: 1: In adaptiveWorkflow(x = x, y = y, wts = weights, info = trainInfo, : There were missing values in resampled performance measures. 2: In adaptiveWorkflow(x = x, y = y, wts = weights, info = trainInfo, : There were missing values in resampled performance measures.

I can't reproduce this with method = "BT"; it finished fine. That particular warning ("There were missing values in resampled performance measures.") isn't a problem. I"m using doMC and not doParallel but that's what I have available.

Plus, I don't think that this is exactly the code that you used. For example, the logging of what models are being run are not in your output such as

   + Fold10.Rep5: size=9, decay=0.01778, bag=FALSE

nor is the nnet convergence log such as:

  # weights:  150
  iter  10 value 130.246346
  iter  20 value 104.789492

A few other things:

the latest caret version on github makes this model a little more reproducible by setting the seed prior to the neural network
you might want to use the seeds argument to trainControl to make it more reproducible in parallel
both train and avNNet will both run in parallel. If you request a cluster with X workers, you might actually run with X^2 workers. You can pass allowParallel = FALSE through train to avNNet to have only train run in parallel.

Your code above works for me, but this might be better for testing:

seeds <- vector(mode = "list", length = 51)
seeds <- lapply(seeds, function(x) 1:100)

Cctrl                <- trainControl(method          = "adaptive_cv",   repeats         = 5,
                                     classProbs      = TRUE,,
                                     returnResamp    = "final",         verboseIter     = TRUE,
                                     summaryFunction = multiClassSummary,
                                     seeds = seeds,
                                     adaptive        = list(min      = 5,
                                                            alpha    = 0.05,
                                                            method   = "BT",
                                                            complete = TRUE))

set.seed(1)
mod1 <- train(Type ~ ., data = glass_train,
              method = "avNNet",
              preProc = c("center", "scale"),
              tuneLength = 10,
              trControl = Cctrl,
              trace = FALSE,
              maxit = 1000,
              allowParallel = FALSE,
              metric     = "logLoss")

Hi! Max, The above results got from Windows10 OS. I test your code on MAC and the problem still as it was. Here is the code and results:

glass <- read.csv("glass.csv", header = FALSE) names(glass) <- c("id","RI","Na", "Mg", "Al", "Si", "K", "Ca","Ba", "Fe", "Type") glass <- glass[,-1] glass$Type <- factor(ifelse(glass$Type==1,"x1", +

ifelse(glass$Type==2,"x2",

ifelse(glass$Type==3,"x3",

ifelse(glass$Type==4,"x4",

ifelse(glass$Type==5,"x5",

ifelse(glass$Type==6,"x6","x7"))))))) glass_sampling_vector <- createDataPartition(glass$Type, p = 0.80, list = FALSE) glass_train <- glass[glass_sampling_vector,] glass_test <- glass[-glass_sampling_vector,]

library(doMC) registerDoMC(cores = 7) library(caret)

seeds <- vector(mode = "list", length = 51) seeds <- lapply(seeds, function(x) 1:100)

Cctrl <- trainControl(method = "adaptive_cv", repeats = 5,

classProbs = TRUE,,

returnResamp = "final", verboseIter = TRUE,

summaryFunction = multiClassSummary,

seeds = seeds,

adaptive = list(min = 5,

alpha = 0.05,

method = "BT",

complete = TRUE))

set.seed(1) mod1 <- train(Type ~ ., data = glass_train,

method = "avNNet",

preProc = c("center", "scale"),

tuneLength = 10,

trControl = Cctrl,

trace = FALSE,

maxit = 1000,

allowParallel = FALSE,

metric = "logLoss") o 26 models of 100 were eliminated due to linear dependencies o 1 model was skunked x parameter filtering failed:[1] "Error in relevel.factor(fac, model$refcat) : \n 'ref' must be an existing level\n" attr(,"class") [1] "try-error" attr(,"condition") <simpleError in relevel.factor(fac, model$refcat): 'ref' must be an existing level>

o 74 eliminated;0 remains x parameter filtering failed:[1] "Error in relevel.factor(fac, model$refcat) : \n 'ref' must be an existing level\n" attr(,"class") [1] "try-error" attr(,"condition") <simpleError in relevel.factor(fac, model$refcat): 'ref' must be an existing level>

o 100 eliminated;0 remains Aggregating results Selecting tuning parameters Fitting size = 19, decay = 0.000237, bag = FALSE on full training set There were 15 warnings (use warnings() to see them)

warnings() Warning messages: 1: In adaptiveWorkflow(x = x, y = y, wts = weights, info = trainInfo, ... : There were missing values in resampled performance measures. 2: In eval(expr, envir, enclos) : non-integer counts in a binomial glm! 3: In levels<-(*tmp*, value = if (nl == nL) as.character(labels) else paste0(labels, ... : duplicated levels in factors are deprecated 4: In levels<-(*tmp*, value = if (nl == nL) as.character(labels) else paste0(labels, ... : duplicated levels in factors are deprecated 5: In eval(expr, envir, enclos) : non-integer counts in a binomial glm! 6: glm.fit: fitted probabilities numerically 0 or 1 occurred 7: In levels<-(*tmp*, value = if (nl == nL) as.character(labels) else paste0(labels, ... : duplicated levels in factors are deprecated 8: In levels<-(*tmp*, value = if (nl == nL) as.character(labels) else paste0(labels, ... : duplicated levels in factors are deprecated 9: In eval(expr, envir, enclos) : non-integer counts in a binomial glm! 10: glm.fit: fitted probabilities numerically 0 or 1 occurred 11: In levels<-(*tmp*, value = if (nl == nL) as.character(labels) else paste0(labels, ... : duplicated levels in factors are deprecated 12: In levels<-(*tmp*, value = if (nl == nL) as.character(labels) else paste0(labels, ... : duplicated levels in factors are deprecated 13: In eval(expr, envir, enclos) : non-integer counts in a binomial glm! 14: glm.fit: fitted probabilities numerically 0 or 1 occurred 15: In adaptiveWorkflow(x = x, y = y, wts = weights, info = trainInfo, ... : There were missing values in resampled performance measures. ################################################# When switch to another resampleing methods, "gls", which is too slow for such a toy data,so I delete the "allowParallel = FALSE" and got the following results: library(caret) glass <- read.csv("glass.csv", header = FALSE) names(glass) <- c("id","RI","Na", "Mg", "Al", "Si", "K", "Ca","Ba", "Fe", "Type") glass <- glass[,-1] glass$Type <- factor(ifelse(glass$Type==1,"x1", +

ifelse(glass$Type==2,"x2",

ifelse(glass$Type==3,"x3",

ifelse(glass$Type==4,"x4",

ifelse(glass$Type==5,"x5",

ifelse(glass$Type==6,"x6","x7"))))))) glass_sampling_vector <- createDataPartition(glass$Type, p = 0.80, list = FALSE) glass_train <- glass[glass_sampling_vector,] glass_test <- glass[-glass_sampling_vector,]

suppressMessages(library(doMC)) registerDoMC(cores = 7) suppressMessages(library(caret))

seeds <- vector(mode = "list", length = 51) seeds <- lapply(seeds, function(x) 1:100)

Cctrl <- trainControl(method = "adaptive_cv", repeats = 5,

classProbs = TRUE,,

returnResamp = "final", verboseIter = TRUE,

summaryFunction = multiClassSummary,

seeds = seeds,

adaptive = list(min = 5,

alpha = 0.05,

method = "gls",

complete = TRUE))

set.seed(1) mod1 <- train(Type ~ ., data = glass_train,

method = "avNNet",

preProc = c("center", "scale"),

tuneLength = 10,

trControl = Cctrl,

trace = FALSE,

maxit = 1000,

metric = "logLoss") o 20 models of 100 were eliminated due to linear dependencies o 8 eliminated;72 remain o 37 eliminated;35 remain o 16 eliminated;19 remain o 1 eliminated;18 remain o 1 eliminated;17 remain o 2 eliminated;15 remain o 3 eliminated;12 remain o no models eliminated; 12 remain o no models eliminated; 12 remain o no models eliminated; 12 remain o no models eliminated; 12 remain o 2 eliminated;10 remain o no models eliminated; 10 remain o 1 eliminated;9 remain o no models eliminated; 9 remain o 1 eliminated;8 remain o no models eliminated; 8 remain o no models eliminated; 8 remain o no models eliminated; 8 remain o no models eliminated; 8 remain o no models eliminated; 8 remain o no models eliminated; 8 remain o no models eliminated; 8 remain o no models eliminated; 8 remain o no models eliminated; 8 remain o no models eliminated; 8 remain o no models eliminated; 8 remain o no models eliminated; 8 remain o no models eliminated; 8 remain o no models eliminated; 8 remain o no models eliminated; 8 remain o no models eliminated; 8 remain o no models eliminated; 8 remain o no models eliminated; 8 remain o no models eliminated; 8 remain o no models eliminated; 8 remain o no models eliminated; 8 remain o no models eliminated; 8 remain o no models eliminated; 8 remain o no models eliminated; 8 remain o no models eliminated; 8 remain o 1 eliminated;7 remain o no models eliminated; 7 remain o 1 eliminated;6 remain o 1 eliminated;5 remain o no models eliminated; 5 remain Aggregating results Selecting tuning parameters Fitting size = 13, decay = 0.0075, bag = FALSE on full training set Warning messages: 1: In adaptiveWorkflow(x = x, y = y, wts = weights, info = trainInfo, : There were missing values in resampled performance measures. 2: In adaptiveWorkflow(x = x, y = y, wts = weights, info = trainInfo, : There were missing values in resampled performance measures. ######################################################### All results got with the newest caret from github on my MAC, I really don't know why.

This still doesn't seem right. The error that you are seeing is what I specifically guarded against.

Can you

install caret from github again in regular R (not RStudio)
load caret
send the results of sessionInfo()

Thanks,

Max

Hi! Max! Sorry for previous inconvenience. But your exact code still does't work! What I did: 1 remove.packages("caret") 2 devtools::install_github('topepo/caret/pkg/caret') 3 load data 4 require(caret) and running Here follows the code, results, warnings and sessionInfo:

########################################

glass <- read.csv("glass.csv", header = FALSE) names(glass) <- c("id","RI","Na", "Mg", "Al", "Si", "K", "Ca","Ba", "Fe", "Type") glass <- glass[,-1] glass$Type <- factor(ifelse(glass$Type==1,"x1",

ifelse(glass$Type==2,"x2",

ifelse(glass$Type==3,"x3",

ifelse(glass$Type==4,"x4",

ifelse(glass$Type==5,"x5",

ifelse(glass$Type==6,"x6","x7"))))))) library(caret) Loading required package: lattice Loading required package: ggplot2 glass_sampling_vector <- createDataPartition(glass$Type, p = 0.80, list = FALSE) glass_train <- glass[glass_sampling_vector,] glass_test <- glass[-glass_sampling_vector,]

library(doMC) Loading required package: foreach foreach: simple, scalable parallel programming from Revolution Analytics Use Revolution R for scalability, fault tolerance and more. http://www.revolutionanalytics.com Loading required package: iterators Loading required package: parallel registerDoMC(cores = 7)

seeds <- vector(mode = "list", length = 51) seeds <- lapply(seeds, function(x) 1:100)

Cctrl <- trainControl(method = "adaptive_cv", repeats = 5,

classProbs = TRUE,,

returnResamp = "final", verboseIter = TRUE,

summaryFunction = multiClassSummary,

seeds = seeds,

adaptive = list(min = 5,

alpha = 0.05,

method = "BT",

complete = TRUE)) set.seed(1) mod1 <- train(Type ~ ., data = glass_train,

method = "avNNet",

preProc = c("center", "scale"),

tuneLength = 10,

trControl = Cctrl,

trace = FALSE,

maxit = 1000,

allowParallel = FALSE,

metric = "logLoss") Loading required package: nnet o 25 models of 100 were eliminated due to linear dependencies Loading required namespace: BradleyTerry2 x parameter filtering failed:[1] "Error in relevel.factor(fac, model$refcat) : \n 'ref' must be an existing level\n" attr(,"class") [1] "try-error" attr(,"condition") <simpleError in relevel.factor(fac, model$refcat): 'ref' must be an existing level>

o 75 eliminated;0 remains x parameter filtering failed:[1] "Error in relevel.factor(fac, model$refcat) : \n 'ref' must be an existing level\n" attr(,"class") [1] "try-error" attr(,"condition") <simpleError in relevel.factor(fac, model$refcat): 'ref' must be an existing level>

o 100 eliminated;0 remains Aggregating results Selecting tuning parameters Fitting size = 5, decay = 0.000562, bag = FALSE on full training set There were 11 warnings (use warnings() to see them)

warnings() Warning messages: 1: In adaptiveWorkflow(x = x, y = y, wts = weights, info = trainInfo, ... : There were missing values in resampled performance measures. 2: In levels<-(*tmp*, value = if (nl == nL) as.character(labels) else paste0(labels, ... : duplicated levels in factors are deprecated 3: In levels<-(*tmp*, value = if (nl == nL) as.character(labels) else paste0(labels, ... : duplicated levels in factors are deprecated 4: In eval(expr, envir, enclos) : non-integer counts in a binomial glm! 5: In levels<-(*tmp*, value = if (nl == nL) as.character(labels) else paste0(labels, ... : duplicated levels in factors are deprecated 6: In levels<-(*tmp*, value = if (nl == nL) as.character(labels) else paste0(labels, ... : duplicated levels in factors are deprecated 7: In eval(expr, envir, enclos) : non-integer counts in a binomial glm! 8: In levels<-(*tmp*, value = if (nl == nL) as.character(labels) else paste0(labels, ... : duplicated levels in factors are deprecated 9: In levels<-(*tmp*, value = if (nl == nL) as.character(labels) else paste0(labels, ... : duplicated levels in factors are deprecated 10: glm.fit: fitted probabilities numerically 0 or 1 occurred 11: In adaptiveWorkflow(x = x, y = y, wts = weights, info = trainInfo, ... : There were missing values in resampled performance measures. sessionInfo() R version 3.2.2 (2015-08-14) Platform: x86_64-apple-darwin13.4.0 (64-bit) Running under: OS X 10.10.5 (Yosemite)

locale: [1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8

attached base packages: [1] parallel stats graphics grDevices utils datasets methods base

other attached packages: [1] nnet_7.3-11 doMC_1.3.4 iterators_1.0.8 foreach_1.4.3 caret_6.0-60 ggplot2_1.0.1 lattice_0.20-33

loaded via a namespace (and not attached): [1] Rcpp_0.12.1 magrittr_1.5 splines_3.2.2 MASS_7.3-44 munsell_0.4.2 colorspace_1.2-6 minqa_1.2.4 [8] stringr_1.0.0 car_2.1-0 plyr_1.8.3 tools_3.2.2 pbkrtest_0.4-2 grid_3.2.2 gtable_0.1.2 [15] nlme_3.1-122 mgcv_1.8-9 quantreg_5.19 e1071_1.6-7 gtools_3.5.0 class_7.3-14 MatrixModels_0.4-1 [22] lme4_1.1-10 digest_0.6.8 Matrix_1.2-2 nloptr_1.0.4 reshape2_1.4.1 codetools_0.2-14 stringi_1.0-1 [29] BradleyTerry2_1.0-6 compiler_3.2.2 pROC_1.8 scales_0.3.0 stats4_3.2.2 brglm_0.5-9 SparseM_1.7 [36] proto_0.3-10

:

Try running it sequentially.

Hi! Max, Still bad news! Hers is the code and results of sequentially running:

########################################

glass <- read.csv("glass.csv", header = FALSE) names(glass) <- c("id","RI","Na", "Mg", "Al", "Si", "K", "Ca","Ba", "Fe", "Type") glass <- glass[,-1] glass$Type <- factor(ifelse(glass$Type==1,"x1",

ifelse(glass$Type==2,"x2",

ifelse(glass$Type==3,"x3",

ifelse(glass$Type==4,"x4",

ifelse(glass$Type==5,"x5",

ifelse(glass$Type==6,"x6","x7")))))))

library(caret) Loading required package: lattice Loading required package: ggplot2 glass_sampling_vector <- createDataPartition(glass$Type, p = 0.80, list = FALSE) glass_train <- glass[glass_sampling_vector,] glass_test <- glass[-glass_sampling_vector,]

library(doMC)

registerDoMC(cores = 7)

seeds <- vector(mode = "list", length = 51) seeds <- lapply(seeds, function(x) 1:100)

Cctrl <- trainControl(method = "adaptive_cv", repeats = 5,

classProbs = TRUE,,

returnResamp = "final", verboseIter = TRUE,

summaryFunction = multiClassSummary,

seeds = seeds,

adaptive = list(min = 5,

alpha = 0.05,

method = "BT",

complete = TRUE)) set.seed(1) mod1 <- train(Type ~ ., data = glass_train,

method = "avNNet",

preProc = c("center", "scale"),

tuneLength = 10,

trControl = Cctrl,

trace = FALSE,

maxit = 1000,

allowParallel = FALSE,

metric = "logLoss") Loading required package: nnet

Fold01.Rep1: size= 1, decay=0.0000000, bag=FALSE

Fold01.Rep1: size= 1, decay=0.0000000, bag=FALSE

Fold01.Rep1: size= 3, decay=0.0000000, bag=FALSE

Fold01.Rep1: size= 3, decay=0.0000000, bag=FALSE

Fold01.Rep1: size= 5, decay=0.0000000, bag=FALSE

Fold01.Rep1: size= 5, decay=0.0000000, bag=FALSE

Fold01.Rep1: size= 7, decay=0.0000000, bag=FALSE

Fold01.Rep1: size= 7, decay=0.0000000, bag=FALSE

Fold01.Rep1: size= 9, decay=0.0000000, bag=FALSE

Fold01.Rep1: size= 9, decay=0.0000000, bag=FALSE

Fold01.Rep1: size=11, decay=0.0000000, bag=FALSE

Fold01.Rep1: size=11, decay=0.0000000, bag=FALSE

Fold01.Rep1: size=13, decay=0.0000000, bag=FALSE

Fold01.Rep1: size=13, decay=0.0000000, bag=FALSE

Fold01.Rep1: size=15, decay=0.0000000, bag=FALSE

Fold01.Rep1: size=15, decay=0.0000000, bag=FALSE

Fold01.Rep1: size=17, decay=0.0000000, bag=FALSE

Fold01.Rep1: size=17, decay=0.0000000, bag=FALSE

Fold01.Rep1: size=19, decay=0.0000000, bag=FALSE

Fold01.Rep1: size=19, decay=0.0000000, bag=FALSE

Fold01.Rep1: size= 1, decay=0.1000000, bag=FALSE

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Fold05.Rep1: size=15, decay=0.0005623, bag=FALSE

Fold05.Rep1: size=15, decay=0.0005623, bag=FALSE

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Fold05.Rep1: size= 7, decay=0.0001000, bag=FALSE

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Fold05.Rep1: size= 9, decay=0.0001000, bag=FALSE

Fold05.Rep1: size=11, decay=0.0001000, bag=FALSE

Fold05.Rep1: size=11, decay=0.0001000, bag=FALSE

Fold05.Rep1: size=13, decay=0.0001000, bag=FALSE

Fold05.Rep1: size=13, decay=0.0001000, bag=FALSE

Fold05.Rep1: size=15, decay=0.0001000, bag=FALSE

Fold05.Rep1: size=15, decay=0.0001000, bag=FALSE

Fold05.Rep1: size=17, decay=0.0001000, bag=FALSE

Fold05.Rep1: size=17, decay=0.0001000, bag=FALSE

Fold05.Rep1: size=19, decay=0.0001000, bag=FALSE

Fold05.Rep1: size=19, decay=0.0001000, bag=FALSE o 31 models of 100 were eliminated due to linear dependencies Loading required namespace: BradleyTerry2 x parameter filtering failed:[1] "Error in relevel.factor(fac, model$refcat) : \n 'ref' must be an existing level\n" attr(,"class") [1] "try-error" attr(,"condition") <simpleError in relevel.factor(fac, model$refcat): 'ref' must be an existing level>

o 69 eliminated;0 remains x parameter filtering failed:[1] "Error in relevel.factor(fac, model$refcat) : \n 'ref' must be an existing level\n" attr(,"class") [1] "try-error" attr(,"condition") <simpleError in relevel.factor(fac, model$refcat): 'ref' must be an existing level>

o 100 eliminated;0 remains Aggregating results Selecting tuning parameters Fitting size = 9, decay = 0.00133, bag = FALSE on full training set There were 12 warnings (use warnings() to see them)

sessionInfo() R version 3.2.2 (2015-08-14) Platform: x86_64-apple-darwin13.4.0 (64-bit) Running under: OS X 10.10.5 (Yosemite)

locale: [1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8

attached base packages: [1] stats graphics grDevices utils datasets methods base

other attached packages: [1] nnet_7.3-11 caret_6.0-60 ggplot2_1.0.1 lattice_0.20-33

loaded via a namespace (and not attached): [1] Rcpp_0.12.1 compiler_3.2.2 nloptr_1.0.4 plyr_1.8.3 iterators_1.0.8 class_7.3-14 tools_3.2.2 [8] digest_0.6.8 lme4_1.1-10 memoise_0.2.1 nlme_3.1-122 gtable_0.1.2 mgcv_1.8-9 Matrix_1.2-2 [15] foreach_1.4.3 curl_0.9.3 parallel_3.2.2 brglm_0.5-9 SparseM_1.7 proto_0.3-10 e1071_1.6-7 [22] BradleyTerry2_1.0-6 httr_1.0.0 stringr_1.0.0 gtools_3.5.0 pROC_1.8 MatrixModels_0.4-1 devtools_1.9.1 [29] stats4_3.2.2 grid_3.2.2 R6_2.1.1 minqa_1.2.4 reshape2_1.4.1 car_2.1-0 magrittr_1.5 [36] scales_0.3.0 codetools_0.2-14 MASS_7.3-44 splines_3.2.2 pbkrtest_0.4-2 colorspace_1.2-6 quantreg_5.19 [43] stringi_1.0-1 munsell_0.4.2

warnings() Warning messages: 1: In adaptiveWorkflow(x = x, y = y, wts = weights, info = trainInfo, ... : There were missing values in resampled performance measures. 2: In eval(expr, envir, enclos) : non-integer counts in a binomial glm! 3: In levels<-(*tmp*, value = if (nl == nL) as.character(labels) else paste0(labels, ... : duplicated levels in factors are deprecated 4: In levels<-(*tmp*, value = if (nl == nL) as.character(labels) else paste0(labels, ... : duplicated levels in factors are deprecated 5: In eval(expr, envir, enclos) : non-integer counts in a binomial glm! 6: In levels<-(*tmp*, value = if (nl == nL) as.character(labels) else paste0(labels, ... : duplicated levels in factors are deprecated 7: In levels<-(*tmp*, value = if (nl == nL) as.character(labels) else paste0(labels, ... : duplicated levels in factors are deprecated 8: In eval(expr, envir, enclos) : non-integer counts in a binomial glm! 9: In levels<-(*tmp*, value = if (nl == nL) as.character(labels) else paste0(labels, ... : duplicated levels in factors are deprecated 10: In levels<-(*tmp*, value = if (nl == nL) as.character(labels) else paste0(labels, ... : duplicated levels in factors are deprecated 11: In eval(expr, envir, enclos) : non-integer counts in a binomial glm! 12: In adaptiveWorkflow(x = x, y = y, wts = weights, info = trainInfo, ... : There were missing values in resampled performance measures.

I finally figured it out. The issue is with the current version of BradleyTerry2. The model fits fine but the ability calculations fail and it looks like this was induced in the latest version. I've dropped a line to Heather with an example. In the meantime, you can downgrade that package to version 1.0-5 and it should work.

Thank, Max! Great work, I do appreciate your help! Daniel

please verify that it works and I'll close this issue (and add comments when I hear back from Heather).

Thanks,

Max

Hi! max, Sounds strange, but I can't find version 1.0-5, the oldest version on CRAN Archive is 2.27 and the following code does't work either. packageurl <- "https://cran.r-project.org/src/contrib/Archive/caret/t/caret_1.0-5.tar.gz"

install.packages(packageurl, repos=NULL, type="source") Installing package into ‘C:/Users/Duan/R/win-library/3.2’ (as ‘lib’ is unspecified) trying URL 'https://cran.r-project.org/src/contrib/Archive/caret/t/caret_1.0-5.tar.gz' Error in download.file(p, destfile, method, mode = "wb", ...) : cannot open URL 'https://cran.r-project.org/src/contrib/Archive/caret/t/caret_1.0-5.tar.gz' In addition: Warning message: In download.file(p, destfile, method, mode = "wb", ...) : cannot open: HTTP status was '404 Not Found'

You can get it on the CRAN page (manually):

https://cran.r-project.org/src/contrib/Archive/BradleyTerry2/

On Tue, Nov 10, 2015 at 10:41 AM, elephann notifications@github.com wrote:

Hi! max, Sounds strange, but I can't find version 1.0-5, the oldest version on CRAN Archive is 2.27 and the following code does't work either. packageurl <- " https://cran.r-project.org/src/contrib/Archive/caret/t/caret_1.0-5.tar.gz"

install.packages(packageurl, repos=NULL, type="source") Installing package into ‘C:/Users/Duan/R/win-library/3.2’ (as ‘lib’ is unspecified) trying URL ' https://cran.r-project.org/src/contrib/Archive/caret/t/caret_1.0-5.tar.gz' Error in download.file(p, destfile, method, mode = "wb", ...) : cannot open URL ' https://cran.r-project.org/src/contrib/Archive/caret/t/caret_1.0-5.tar.gz' In addition: Warning message: In download.file(p, destfile, method, mode = "wb", ...) : cannot open: HTTP status was '404 Not Found'

— Reply to this email directly or view it on GitHub https://github.com/topepo/caret/issues/310#issuecomment-155457505.

Hi, Max, With BradleyTerry2 version 1.0-5 and gihub caret package, running sequentially, the test got results without break. But the warnings Still shows. This tests ran on my Windows10, I will run it on MAC later because it busy for now the following is the results(code as the same above, omitted)

Loading required package: nnet

Fold01.Rep1: size= 1, decay=0.0000000, bag=FALSE Fold01.Rep1: size= 1, decay=0.0000000, bag=FALSE Fold01.Rep1: size= 3, decay=0.0000000, bag=FALSE Fold01.Rep1: size= 3, decay=0.0000000, bag=FALSE Fold01.Rep1: size= 5, decay=0.0000000, bag=FALSE Fold01.Rep1: size= 5, decay=0.0000000, bag=FALSE Fold01.Rep1: size= 7, decay=0.0000000, bag=FALSE Fold01.Rep1: size= 7, decay=0.0000000, bag=FALSE Fold01.Rep1: size= 9, decay=0.0000000, bag=FALSE Fold01.Rep1: size= 9, decay=0.0000000, bag=FALSE Fold01.Rep1: size=11, decay=0.0000000, bag=FALSE Fold01.Rep1: size=11, decay=0.0000000, bag=FALSE Fold01.Rep1: size=13, decay=0.0000000, bag=FALSE Fold01.Rep1: size=13, decay=0.0000000, bag=FALSE Fold01.Rep1: size=15, decay=0.0000000, bag=FALSE Fold01.Rep1: size=15, decay=0.0000000, bag=FALSE Fold01.Rep1: size=17, decay=0.0000000, bag=FALSE Fold01.Rep1: size=17, decay=0.0000000, bag=FALSE Fold01.Rep1: size=19, decay=0.0000000, bag=FALSE Fold01.Rep1: size=19, decay=0.0000000, bag=FALSE Fold01.Rep1: size= 1, decay=0.1000000, bag=FALSE Fold01.Rep1: size= 1, decay=0.1000000, bag=FALSE Fold01.Rep1: size= 3, decay=0.1000000, bag=FALSE Fold01.Rep1: size= 3, decay=0.1000000, bag=FALSE Fold01.Rep1: size= 5, decay=0.1000000, bag=FALSE Fold01.Rep1: size= 5, decay=0.1000000, bag=FALSE Fold01.Rep1: size= 7, decay=0.1000000, bag=FALSE Fold01.Rep1: size= 7, decay=0.1000000, bag=FALSE Fold01.Rep1: size= 9, decay=0.1000000, bag=FALSE Fold01.Rep1: size= 9, decay=0.1000000, bag=FALSE Fold01.Rep1: size=11, decay=0.1000000, bag=FALSE Fold01.Rep1: size=11, decay=0.1000000, bag=FALSE Fold01.Rep1: size=13, decay=0.1000000, bag=FALSE Fold01.Rep1: size=13, decay=0.1000000, bag=FALSE Fold01.Rep1: size=15, decay=0.1000000, bag=FALSE Fold01.Rep1: size=15, decay=0.1000000, bag=FALSE Fold01.Rep1: size=17, decay=0.1000000, bag=FALSE Fold01.Rep1: size=17, decay=0.1000000, bag=FALSE Fold01.Rep1: size=19, decay=0.1000000, bag=FALSE Fold01.Rep1: size=19, decay=0.1000000, bag=FALSE Fold01.Rep1: size= 1, decay=0.0421697, bag=FALSE Fold01.Rep1: size= 1, decay=0.0421697, bag=FALSE Fold01.Rep1: size= 3, decay=0.0421697, bag=FALSE Fold01.Rep1: size= 3, decay=0.0421697, bag=FALSE Fold01.Rep1: size= 5, decay=0.0421697, bag=FALSE Fold01.Rep1: size= 5, decay=0.0421697, bag=FALSE Fold01.Rep1: size= 7, decay=0.0421697, bag=FALSE Fold01.Rep1: size= 7, decay=0.0421697, bag=FALSE Fold01.Rep1: size= 9, decay=0.0421697, bag=FALSE Fold01.Rep1: size= 9, decay=0.0421697, bag=FALSE Fold01.Rep1: size=11, decay=0.0421697, bag=FALSE Fold01.Rep1: size=11, decay=0.0421697, bag=FALSE Fold01.Rep1: size=13, decay=0.0421697, bag=FALSE Fold01.Rep1: size=13, decay=0.0421697, bag=FALSE Fold01.Rep1: size=15, decay=0.0421697, bag=FALSE Fold01.Rep1: size=15, decay=0.0421697, bag=FALSE Fold01.Rep1: size=17, decay=0.0421697, bag=FALSE Fold01.Rep1: size=17, decay=0.0421697, bag=FALSE Fold01.Rep1: size=19, decay=0.0421697, bag=FALSE Fold01.Rep1: size=19, decay=0.0421697, bag=FALSE Fold01.Rep1: size= 1, decay=0.0177828, bag=FALSE Fold01.Rep1: size= 1, decay=0.0177828, bag=FALSE Fold01.Rep1: size= 3, decay=0.0177828, bag=FALSE Fold01.Rep1: size= 3, decay=0.0177828, bag=FALSE Fold01.Rep1: size= 5, decay=0.0177828, bag=FALSE Fold01.Rep1: size= 5, decay=0.0177828, bag=FALSE Fold01.Rep1: size= 7, decay=0.0177828, bag=FALSE Fold01.Rep1: size= 7, decay=0.0177828, bag=FALSE Fold01.Rep1: size= 9, decay=0.0177828, bag=FALSE Fold01.Rep1: size= 9, decay=0.0177828, bag=FALSE Fold01.Rep1: size=11, decay=0.0177828, bag=FALSE Fold01.Rep1: size=11, decay=0.0177828, bag=FALSE Fold01.Rep1: size=13, decay=0.0177828, bag=FALSE Fold01.Rep1: size=13, decay=0.0177828, bag=FALSE Fold01.Rep1: size=15, decay=0.0177828, bag=FALSE Fold01.Rep1: size=15, decay=0.0177828, bag=FALSE Fold01.Rep1: size=17, decay=0.0177828, bag=FALSE Fold01.Rep1: size=17, decay=0.0177828, bag=FALSE Fold01.Rep1: size=19, decay=0.0177828, bag=FALSE Fold01.Rep1: size=19, decay=0.0177828, bag=FALSE Fold01.Rep1: size= 1, decay=0.0074989, bag=FALSE Fold01.Rep1: size= 1, decay=0.0074989, bag=FALSE Fold01.Rep1: size= 3, decay=0.0074989, bag=FALSE Fold01.Rep1: size= 3, decay=0.0074989, bag=FALSE Fold01.Rep1: size= 5, decay=0.0074989, bag=FALSE Fold01.Rep1: size= 5, decay=0.0074989, bag=FALSE Fold01.Rep1: size= 7, decay=0.0074989, bag=FALSE Fold01.Rep1: size= 7, decay=0.0074989, bag=FALSE Fold01.Rep1: size= 9, decay=0.0074989, bag=FALSE Fold01.Rep1: size= 9, decay=0.0074989, bag=FALSE Fold01.Rep1: size=11, decay=0.0074989, bag=FALSE Fold01.Rep1: size=11, decay=0.0074989, bag=FALSE Fold01.Rep1: size=13, decay=0.0074989, bag=FALSE Fold01.Rep1: size=13, decay=0.0074989, bag=FALSE Fold01.Rep1: size=15, decay=0.0074989, bag=FALSE Fold01.Rep1: size=15, decay=0.0074989, bag=FALSE Fold01.Rep1: size=17, decay=0.0074989, bag=FALSE Fold01.Rep1: size=17, decay=0.0074989, bag=FALSE Fold01.Rep1: size=19, decay=0.0074989, bag=FALSE Fold01.Rep1: size=19, decay=0.0074989, bag=FALSE Fold01.Rep1: size= 1, decay=0.0031623, bag=FALSE Fold01.Rep1: size= 1, decay=0.0031623, bag=FALSE Fold01.Rep1: size= 3, decay=0.0031623, bag=FALSE Fold01.Rep1: size= 3, decay=0.0031623, bag=FALSE Fold01.Rep1: size= 5, decay=0.0031623, bag=FALSE Fold01.Rep1: size= 5, decay=0.0031623, bag=FALSE Fold01.Rep1: size= 7, decay=0.0031623, bag=FALSE Fold01.Rep1: size= 7, decay=0.0031623, bag=FALSE Fold01.Rep1: size= 9, decay=0.0031623, bag=FALSE Fold01.Rep1: size= 9, decay=0.0031623, bag=FALSE Fold01.Rep1: size=11, decay=0.0031623, bag=FALSE Fold01.Rep1: size=11, decay=0.0031623, bag=FALSE Fold01.Rep1: size=13, decay=0.0031623, bag=FALSE Fold01.Rep1: size=13, decay=0.0031623, bag=FALSE Fold01.Rep1: size=15, decay=0.0031623, bag=FALSE Fold01.Rep1: size=15, decay=0.0031623, bag=FALSE Fold01.Rep1: size=17, decay=0.0031623, bag=FALSE Fold01.Rep1: size=17, decay=0.0031623, bag=FALSE Fold01.Rep1: size=19, decay=0.0031623, bag=FALSE Fold01.Rep1: size=19, decay=0.0031623, bag=FALSE Fold01.Rep1: size= 1, decay=0.0013335, bag=FALSE Fold01.Rep1: size= 1, decay=0.0013335, bag=FALSE Fold01.Rep1: size= 3, decay=0.0013335, bag=FALSE Fold01.Rep1: size= 3, decay=0.0013335, bag=FALSE Fold01.Rep1: size= 5, decay=0.0013335, bag=FALSE Fold01.Rep1: size= 5, decay=0.0013335, bag=FALSE Fold01.Rep1: size= 7, decay=0.0013335, bag=FALSE Fold01.Rep1: size= 7, decay=0.0013335, bag=FALSE Fold01.Rep1: size= 9, decay=0.0013335, bag=FALSE Fold01.Rep1: size= 9, decay=0.0013335, bag=FALSE Fold01.Rep1: size=11, decay=0.0013335, bag=FALSE Fold01.Rep1: size=11, decay=0.0013335, bag=FALSE Fold01.Rep1: size=13, decay=0.0013335, bag=FALSE Fold01.Rep1: size=13, decay=0.0013335, bag=FALSE Fold01.Rep1: size=15, decay=0.0013335, bag=FALSE Fold01.Rep1: size=15, decay=0.0013335, bag=FALSE Fold01.Rep1: size=17, decay=0.0013335, bag=FALSE Fold01.Rep1: size=17, decay=0.0013335, bag=FALSE Fold01.Rep1: size=19, decay=0.0013335, bag=FALSE Fold01.Rep1: size=19, decay=0.0013335, bag=FALSE Fold01.Rep1: size= 1, decay=0.0005623, bag=FALSE Fold01.Rep1: size= 1, decay=0.0005623, bag=FALSE Fold01.Rep1: size= 3, decay=0.0005623, bag=FALSE Fold01.Rep1: size= 3, decay=0.0005623, bag=FALSE Fold01.Rep1: size= 5, decay=0.0005623, bag=FALSE Fold01.Rep1: size= 5, decay=0.0005623, bag=FALSE Fold01.Rep1: size= 7, decay=0.0005623, bag=FALSE Fold01.Rep1: size= 7, decay=0.0005623, bag=FALSE Fold01.Rep1: size= 9, decay=0.0005623, bag=FALSE Fold01.Rep1: size= 9, decay=0.0005623, bag=FALSE Fold01.Rep1: size=11, decay=0.0005623, bag=FALSE Fold01.Rep1: size=11, decay=0.0005623, bag=FALSE Fold01.Rep1: size=13, decay=0.0005623, bag=FALSE Fold01.Rep1: size=13, decay=0.0005623, bag=FALSE Fold01.Rep1: size=15, decay=0.0005623, bag=FALSE Fold01.Rep1: size=15, decay=0.0005623, bag=FALSE Fold01.Rep1: size=17, decay=0.0005623, bag=FALSE Fold01.Rep1: size=17, decay=0.0005623, bag=FALSE Fold01.Rep1: size=19, decay=0.0005623, bag=FALSE Fold01.Rep1: size=19, decay=0.0005623, bag=FALSE Fold01.Rep1: size= 1, decay=0.0002371, bag=FALSE Fold01.Rep1: size= 1, decay=0.0002371, bag=FALSE Fold01.Rep1: size= 3, decay=0.0002371, bag=FALSE Fold01.Rep1: size= 3, decay=0.0002371, bag=FALSE Fold01.Rep1: size= 5, decay=0.0002371, bag=FALSE Fold01.Rep1: size= 5, decay=0.0002371, bag=FALSE Fold01.Rep1: size= 7, decay=0.0002371, bag=FALSE Fold01.Rep1: size= 7, decay=0.0002371, bag=FALSE Fold01.Rep1: size= 9, decay=0.0002371, bag=FALSE Fold01.Rep1: size= 9, decay=0.0002371, bag=FALSE Fold01.Rep1: size=11, decay=0.0002371, bag=FALSE Fold01.Rep1: size=11, decay=0.0002371, bag=FALSE Fold01.Rep1: size=13, decay=0.0002371, bag=FALSE Fold01.Rep1: size=13, decay=0.0002371, bag=FALSE Fold01.Rep1: size=15, decay=0.0002371, bag=FALSE Fold01.Rep1: size=15, decay=0.0002371, bag=FALSE Fold01.Rep1: size=17, decay=0.0002371, bag=FALSE Fold01.Rep1: size=17, decay=0.0002371, bag=FALSE Fold01.Rep1: size=19, decay=0.0002371, bag=FALSE Fold01.Rep1: size=19, decay=0.0002371, bag=FALSE Fold01.Rep1: size= 1, decay=0.0001000, bag=FALSE Fold01.Rep1: size= 1, decay=0.0001000, bag=FALSE Fold01.Rep1: size= 3, decay=0.0001000, bag=FALSE Fold01.Rep1: size= 3, decay=0.0001000, bag=FALSE Fold01.Rep1: size= 5, decay=0.0001000, bag=FALSE Fold01.Rep1: size= 5, decay=0.0001000, bag=FALSE Fold01.Rep1: size= 7, decay=0.0001000, bag=FALSE Fold01.Rep1: size= 7, decay=0.0001000, bag=FALSE Fold01.Rep1: size= 9, decay=0.0001000, bag=FALSE Fold01.Rep1: size= 9, decay=0.0001000, bag=FALSE Fold01.Rep1: size=11, decay=0.0001000, bag=FALSE Fold01.Rep1: size=11, decay=0.0001000, bag=FALSE Fold01.Rep1: size=13, decay=0.0001000, bag=FALSE Fold01.Rep1: size=13, decay=0.0001000, bag=FALSE Fold01.Rep1: size=15, decay=0.0001000, bag=FALSE Fold01.Rep1: size=15, decay=0.0001000, bag=FALSE Fold01.Rep1: size=17, decay=0.0001000, bag=FALSE Fold01.Rep1: size=17, decay=0.0001000, bag=FALSE Fold01.Rep1: size=19, decay=0.0001000, bag=FALSE Fold01.Rep1: size=19, decay=0.0001000, bag=FALSE Fold02.Rep1: size= 1, decay=0.0000000, bag=FALSE Fold02.Rep1: size= 1, decay=0.0000000, bag=FALSE Fold02.Rep1: size= 3, decay=0.0000000, bag=FALSE Fold02.Rep1: size= 3, decay=0.0000000, bag=FALSE Fold02.Rep1: size= 5, decay=0.0000000, bag=FALSE Fold02.Rep1: size= 5, decay=0.0000000, bag=FALSE Fold02.Rep1: size= 7, decay=0.0000000, bag=FALSE Fold02.Rep1: size= 7, decay=0.0000000, bag=FALSE Fold02.Rep1: size= 9, decay=0.0000000, bag=FALSE Fold02.Rep1: size= 9, decay=0.0000000, bag=FALSE Fold02.Rep1: size=11, decay=0.0000000, bag=FALSE Fold02.Rep1: size=11, decay=0.0000000, bag=FALSE Fold02.Rep1: size=13, decay=0.0000000, bag=FALSE Fold02.Rep1: size=13, decay=0.0000000, bag=FALSE Fold02.Rep1: size=15, decay=0.0000000, bag=FALSE Fold02.Rep1: size=15, decay=0.0000000, bag=FALSE Fold02.Rep1: size=17, decay=0.0000000, bag=FALSE Fold02.Rep1: size=17, decay=0.0000000, bag=FALSE Fold02.Rep1: size=19, decay=0.0000000, bag=FALSE Fold02.Rep1: size=19, decay=0.0000000, bag=FALSE Fold02.Rep1: size= 1, decay=0.1000000, bag=FALSE Fold02.Rep1: size= 1, decay=0.1000000, bag=FALSE Fold02.Rep1: size= 3, decay=0.1000000, bag=FALSE Fold02.Rep1: size= 3, decay=0.1000000, bag=FALSE Fold02.Rep1: size= 5, decay=0.1000000, bag=FALSE Fold02.Rep1: size= 5, decay=0.1000000, bag=FALSE Fold02.Rep1: size= 7, decay=0.1000000, bag=FALSE Fold02.Rep1: size= 7, decay=0.1000000, bag=FALSE Fold02.Rep1: size= 9, decay=0.1000000, bag=FALSE Fold02.Rep1: size= 9, decay=0.1000000, bag=FALSE Fold02.Rep1: size=11, decay=0.1000000, bag=FALSE Fold02.Rep1: size=11, decay=0.1000000, bag=FALSE Fold02.Rep1: size=13, decay=0.1000000, bag=FALSE Fold02.Rep1: size=13, decay=0.1000000, bag=FALSE Fold02.Rep1: size=15, decay=0.1000000, bag=FALSE Fold02.Rep1: size=15, decay=0.1000000, bag=FALSE Fold02.Rep1: size=17, decay=0.1000000, bag=FALSE Fold02.Rep1: size=17, decay=0.1000000, bag=FALSE Fold02.Rep1: size=19, decay=0.1000000, bag=FALSE Fold02.Rep1: size=19, decay=0.1000000, bag=FALSE Fold02.Rep1: size= 1, decay=0.0421697, bag=FALSE Fold02.Rep1: size= 1, decay=0.0421697, bag=FALSE Fold02.Rep1: size= 3, decay=0.0421697, bag=FALSE Fold02.Rep1: size= 3, decay=0.0421697, bag=FALSE Fold02.Rep1: size= 5, decay=0.0421697, bag=FALSE Fold02.Rep1: size= 5, decay=0.0421697, bag=FALSE Fold02.Rep1: size= 7, decay=0.0421697, bag=FALSE Fold02.Rep1: size= 7, decay=0.0421697, bag=FALSE Fold02.Rep1: size= 9, decay=0.0421697, bag=FALSE Fold02.Rep1: size= 9, decay=0.0421697, bag=FALSE Fold02.Rep1: size=11, decay=0.0421697, bag=FALSE Fold02.Rep1: size=11, decay=0.0421697, bag=FALSE Fold02.Rep1: size=13, decay=0.0421697, bag=FALSE Fold02.Rep1: size=13, decay=0.0421697, bag=FALSE Fold02.Rep1: size=15, decay=0.0421697, bag=FALSE Fold02.Rep1: size=15, decay=0.0421697, bag=FALSE Fold02.Rep1: size=17, decay=0.0421697, bag=FALSE Fold02.Rep1: size=17, decay=0.0421697, bag=FALSE Fold02.Rep1: size=19, decay=0.0421697, bag=FALSE Fold02.Rep1: size=19, decay=0.0421697, bag=FALSE Fold02.Rep1: size= 1, decay=0.0177828, bag=FALSE Fold02.Rep1: size= 1, decay=0.0177828, bag=FALSE Fold02.Rep1: size= 3, decay=0.0177828, bag=FALSE Fold02.Rep1: size= 3, decay=0.0177828, bag=FALSE Fold02.Rep1: size= 5, decay=0.0177828, bag=FALSE Fold02.Rep1: size= 5, decay=0.0177828, bag=FALSE Fold02.Rep1: size= 7, decay=0.0177828, bag=FALSE Fold02.Rep1: size= 7, decay=0.0177828, bag=FALSE Fold02.Rep1: size= 9, decay=0.0177828, bag=FALSE Fold02.Rep1: size= 9, decay=0.0177828, bag=FALSE Fold02.Rep1: size=11, decay=0.0177828, bag=FALSE Fold02.Rep1: size=11, decay=0.0177828, bag=FALSE Fold02.Rep1: size=13, decay=0.0177828, bag=FALSE Fold02.Rep1: size=13, decay=0.0177828, bag=FALSE Fold02.Rep1: size=15, decay=0.0177828, bag=FALSE Fold02.Rep1: size=15, decay=0.0177828, bag=FALSE Fold02.Rep1: size=17, decay=0.0177828, bag=FALSE Fold02.Rep1: size=17, decay=0.0177828, bag=FALSE Fold02.Rep1: size=19, decay=0.0177828, bag=FALSE Fold02.Rep1: size=19, decay=0.0177828, bag=FALSE Fold02.Rep1: size= 1, decay=0.0074989, bag=FALSE Fold02.Rep1: size= 1, decay=0.0074989, bag=FALSE Fold02.Rep1: size= 3, decay=0.0074989, bag=FALSE Fold02.Rep1: size= 3, decay=0.0074989, bag=FALSE Fold02.Rep1: size= 5, decay=0.0074989, bag=FALSE Fold02.Rep1: size= 5, decay=0.0074989, bag=FALSE Fold02.Rep1: size= 7, decay=0.0074989, bag=FALSE Fold02.Rep1: size= 7, decay=0.0074989, bag=FALSE Fold02.Rep1: size= 9, decay=0.0074989, bag=FALSE Fold02.Rep1: size= 9, decay=0.0074989, bag=FALSE Fold02.Rep1: size=11, decay=0.0074989, bag=FALSE Fold02.Rep1: size=11, decay=0.0074989, bag=FALSE Fold02.Rep1: size=13, decay=0.0074989, bag=FALSE Fold02.Rep1: size=13, decay=0.0074989, bag=FALSE Fold02.Rep1: size=15, decay=0.0074989, bag=FALSE Fold02.Rep1: size=15, decay=0.0074989, bag=FALSE Fold02.Rep1: size=17, decay=0.0074989, bag=FALSE Fold02.Rep1: size=17, decay=0.0074989, bag=FALSE Fold02.Rep1: size=19, decay=0.0074989, bag=FALSE Fold02.Rep1: size=19, decay=0.0074989, bag=FALSE Fold02.Rep1: size= 1, decay=0.0031623, bag=FALSE Fold02.Rep1: size= 1, decay=0.0031623, bag=FALSE Fold02.Rep1: size= 3, decay=0.0031623, bag=FALSE Fold02.Rep1: size= 3, decay=0.0031623, bag=FALSE Fold02.Rep1: size= 5, decay=0.0031623, bag=FALSE 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5, decay=0.0013335, bag=FALSE Fold02.Rep1: size= 7, decay=0.0013335, bag=FALSE Fold02.Rep1: size= 7, decay=0.0013335, bag=FALSE Fold02.Rep1: size= 9, decay=0.0013335, bag=FALSE Fold02.Rep1: size= 9, decay=0.0013335, bag=FALSE Fold02.Rep1: size=11, decay=0.0013335, bag=FALSE Fold02.Rep1: size=11, decay=0.0013335, bag=FALSE Fold02.Rep1: size=13, decay=0.0013335, bag=FALSE Fold02.Rep1: size=13, decay=0.0013335, bag=FALSE Fold02.Rep1: size=15, decay=0.0013335, bag=FALSE Fold02.Rep1: size=15, decay=0.0013335, bag=FALSE Fold02.Rep1: size=17, decay=0.0013335, bag=FALSE Fold02.Rep1: size=17, decay=0.0013335, bag=FALSE Fold02.Rep1: size=19, decay=0.0013335, bag=FALSE Fold02.Rep1: size=19, decay=0.0013335, bag=FALSE Fold02.Rep1: size= 1, decay=0.0005623, bag=FALSE Fold02.Rep1: size= 1, decay=0.0005623, bag=FALSE Fold02.Rep1: size= 3, decay=0.0005623, bag=FALSE Fold02.Rep1: size= 3, decay=0.0005623, bag=FALSE Fold02.Rep1: size= 5, decay=0.0005623, bag=FALSE Fold02.Rep1: size= 5, decay=0.0005623, 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Fold04.Rep1: size=11, decay=0.0074989, bag=FALSE Fold04.Rep1: size=13, decay=0.0074989, bag=FALSE Fold04.Rep1: size=13, decay=0.0074989, bag=FALSE Fold04.Rep1: size=15, decay=0.0074989, bag=FALSE Fold04.Rep1: size=15, decay=0.0074989, bag=FALSE Fold04.Rep1: size=17, decay=0.0074989, bag=FALSE Fold04.Rep1: size=17, decay=0.0074989, bag=FALSE Fold04.Rep1: size=19, decay=0.0074989, bag=FALSE Fold04.Rep1: size=19, decay=0.0074989, bag=FALSE Fold04.Rep1: size= 1, decay=0.0031623, bag=FALSE Fold04.Rep1: size= 1, decay=0.0031623, bag=FALSE Fold04.Rep1: size= 3, decay=0.0031623, bag=FALSE Fold04.Rep1: size= 3, decay=0.0031623, bag=FALSE Fold04.Rep1: size= 5, decay=0.0031623, bag=FALSE Fold04.Rep1: size= 5, decay=0.0031623, bag=FALSE Fold04.Rep1: size= 7, decay=0.0031623, bag=FALSE Fold04.Rep1: size= 7, decay=0.0031623, bag=FALSE Fold04.Rep1: size= 9, decay=0.0031623, bag=FALSE Fold04.Rep1: size= 9, decay=0.0031623, bag=FALSE Fold04.Rep1: size=11, decay=0.0031623, bag=FALSE Fold04.Rep1: size=11, decay=0.0031623, bag=FALSE Fold04.Rep1: size=13, decay=0.0031623, bag=FALSE Fold04.Rep1: size=13, decay=0.0031623, bag=FALSE Fold04.Rep1: size=15, decay=0.0031623, bag=FALSE Fold04.Rep1: size=15, decay=0.0031623, bag=FALSE Fold04.Rep1: size=17, decay=0.0031623, bag=FALSE Fold04.Rep1: size=17, decay=0.0031623, bag=FALSE Fold04.Rep1: size=19, decay=0.0031623, bag=FALSE Fold04.Rep1: size=19, decay=0.0031623, bag=FALSE Fold04.Rep1: size= 1, decay=0.0013335, bag=FALSE Fold04.Rep1: size= 1, decay=0.0013335, bag=FALSE Fold04.Rep1: size= 3, decay=0.0013335, bag=FALSE Fold04.Rep1: size= 3, decay=0.0013335, bag=FALSE Fold04.Rep1: size= 5, decay=0.0013335, bag=FALSE Fold04.Rep1: size= 5, decay=0.0013335, bag=FALSE Fold04.Rep1: size= 7, decay=0.0013335, bag=FALSE Fold04.Rep1: size= 7, decay=0.0013335, bag=FALSE Fold04.Rep1: size= 9, decay=0.0013335, bag=FALSE Fold04.Rep1: size= 9, decay=0.0013335, bag=FALSE Fold04.Rep1: size=11, decay=0.0013335, bag=FALSE Fold04.Rep1: size=11, decay=0.0013335, bag=FALSE Fold04.Rep1: size=13, decay=0.0013335, bag=FALSE Fold04.Rep1: size=13, decay=0.0013335, bag=FALSE Fold04.Rep1: size=15, decay=0.0013335, bag=FALSE Fold04.Rep1: size=15, decay=0.0013335, bag=FALSE Fold04.Rep1: size=17, decay=0.0013335, bag=FALSE Fold04.Rep1: size=17, decay=0.0013335, bag=FALSE Fold04.Rep1: size=19, decay=0.0013335, bag=FALSE Fold04.Rep1: size=19, decay=0.0013335, bag=FALSE Fold04.Rep1: size= 1, decay=0.0005623, bag=FALSE Fold04.Rep1: size= 1, decay=0.0005623, bag=FALSE Fold04.Rep1: size= 3, decay=0.0005623, bag=FALSE Fold04.Rep1: size= 3, decay=0.0005623, bag=FALSE Fold04.Rep1: size= 5, decay=0.0005623, bag=FALSE Fold04.Rep1: size= 5, decay=0.0005623, bag=FALSE Fold04.Rep1: size= 7, decay=0.0005623, bag=FALSE Fold04.Rep1: size= 7, decay=0.0005623, bag=FALSE Fold04.Rep1: size= 9, decay=0.0005623, bag=FALSE Fold04.Rep1: size= 9, decay=0.0005623, bag=FALSE Fold04.Rep1: size=11, decay=0.0005623, bag=FALSE Fold04.Rep1: size=11, decay=0.0005623, bag=FALSE Fold04.Rep1: size=13, decay=0.0005623, bag=FALSE Fold04.Rep1: size=13, decay=0.0005623, bag=FALSE Fold04.Rep1: size=15, decay=0.0005623, bag=FALSE Fold04.Rep1: size=15, decay=0.0005623, bag=FALSE Fold04.Rep1: size=17, decay=0.0005623, bag=FALSE Fold04.Rep1: size=17, decay=0.0005623, bag=FALSE Fold04.Rep1: size=19, decay=0.0005623, bag=FALSE Fold04.Rep1: size=19, decay=0.0005623, bag=FALSE Fold04.Rep1: size= 1, decay=0.0002371, bag=FALSE Fold04.Rep1: size= 1, decay=0.0002371, bag=FALSE Fold04.Rep1: size= 3, decay=0.0002371, bag=FALSE Fold04.Rep1: size= 3, decay=0.0002371, bag=FALSE Fold04.Rep1: size= 5, decay=0.0002371, bag=FALSE Fold04.Rep1: size= 5, decay=0.0002371, bag=FALSE Fold04.Rep1: size= 7, decay=0.0002371, bag=FALSE Fold04.Rep1: size= 7, decay=0.0002371, bag=FALSE Fold04.Rep1: size= 9, decay=0.0002371, bag=FALSE Fold04.Rep1: size= 9, decay=0.0002371, bag=FALSE Fold04.Rep1: size=11, decay=0.0002371, bag=FALSE Fold04.Rep1: size=11, decay=0.0002371, bag=FALSE Fold04.Rep1: size=13, decay=0.0002371, bag=FALSE Fold04.Rep1: size=13, decay=0.0002371, bag=FALSE Fold04.Rep1: size=15, decay=0.0002371, bag=FALSE Fold04.Rep1: size=15, decay=0.0002371, bag=FALSE Fold04.Rep1: size=17, decay=0.0002371, bag=FALSE Fold04.Rep1: size=17, decay=0.0002371, bag=FALSE Fold04.Rep1: size=19, decay=0.0002371, bag=FALSE Fold04.Rep1: size=19, decay=0.0002371, bag=FALSE Fold04.Rep1: size= 1, decay=0.0001000, bag=FALSE Fold04.Rep1: size= 1, decay=0.0001000, bag=FALSE Fold04.Rep1: size= 3, decay=0.0001000, bag=FALSE Fold04.Rep1: size= 3, decay=0.0001000, bag=FALSE Fold04.Rep1: size= 5, decay=0.0001000, bag=FALSE Fold04.Rep1: size= 5, decay=0.0001000, bag=FALSE Fold04.Rep1: size= 7, decay=0.0001000, bag=FALSE Fold04.Rep1: size= 7, decay=0.0001000, bag=FALSE Fold04.Rep1: size= 9, decay=0.0001000, bag=FALSE Fold04.Rep1: size= 9, decay=0.0001000, bag=FALSE Fold04.Rep1: size=11, decay=0.0001000, bag=FALSE Fold04.Rep1: size=11, decay=0.0001000, bag=FALSE Fold04.Rep1: size=13, decay=0.0001000, bag=FALSE Fold04.Rep1: size=13, decay=0.0001000, bag=FALSE Fold04.Rep1: size=15, decay=0.0001000, bag=FALSE Fold04.Rep1: size=15, decay=0.0001000, bag=FALSE Fold04.Rep1: size=17, decay=0.0001000, bag=FALSE Fold04.Rep1: size=17, decay=0.0001000, bag=FALSE Fold04.Rep1: size=19, decay=0.0001000, bag=FALSE Fold04.Rep1: size=19, decay=0.0001000, bag=FALSE Fold05.Rep1: size= 1, decay=0.0000000, bag=FALSE Fold05.Rep1: size= 1, decay=0.0000000, bag=FALSE Fold05.Rep1: size= 3, decay=0.0000000, bag=FALSE Fold05.Rep1: size= 3, decay=0.0000000, bag=FALSE Fold05.Rep1: size= 5, decay=0.0000000, bag=FALSE Fold05.Rep1: size= 5, decay=0.0000000, bag=FALSE Fold05.Rep1: size= 7, decay=0.0000000, bag=FALSE Fold05.Rep1: size= 7, decay=0.0000000, bag=FALSE Fold05.Rep1: size= 9, decay=0.0000000, bag=FALSE Fold05.Rep1: size= 9, decay=0.0000000, bag=FALSE Fold05.Rep1: size=11, decay=0.0000000, bag=FALSE Fold05.Rep1: size=11, decay=0.0000000, bag=FALSE Fold05.Rep1: size=13, decay=0.0000000, bag=FALSE Fold05.Rep1: size=13, decay=0.0000000, bag=FALSE Fold05.Rep1: size=15, decay=0.0000000, bag=FALSE Fold05.Rep1: size=15, decay=0.0000000, bag=FALSE Fold05.Rep1: size=17, decay=0.0000000, bag=FALSE Fold05.Rep1: size=17, decay=0.0000000, bag=FALSE Fold05.Rep1: size=19, decay=0.0000000, bag=FALSE Fold05.Rep1: size=19, decay=0.0000000, bag=FALSE Fold05.Rep1: size= 1, decay=0.1000000, bag=FALSE Fold05.Rep1: size= 1, decay=0.1000000, bag=FALSE Fold05.Rep1: size= 3, decay=0.1000000, bag=FALSE Fold05.Rep1: size= 3, decay=0.1000000, bag=FALSE Fold05.Rep1: size= 5, decay=0.1000000, bag=FALSE Fold05.Rep1: size= 5, decay=0.1000000, bag=FALSE Fold05.Rep1: size= 7, decay=0.1000000, bag=FALSE Fold05.Rep1: size= 7, decay=0.1000000, bag=FALSE Fold05.Rep1: size= 9, decay=0.1000000, bag=FALSE Fold05.Rep1: size= 9, decay=0.1000000, bag=FALSE Fold05.Rep1: size=11, decay=0.1000000, bag=FALSE Fold05.Rep1: size=11, decay=0.1000000, bag=FALSE Fold05.Rep1: size=13, decay=0.1000000, bag=FALSE Fold05.Rep1: size=13, decay=0.1000000, bag=FALSE Fold05.Rep1: size=15, decay=0.1000000, bag=FALSE Fold05.Rep1: size=15, decay=0.1000000, bag=FALSE Fold05.Rep1: size=17, decay=0.1000000, bag=FALSE Fold05.Rep1: size=17, decay=0.1000000, bag=FALSE Fold05.Rep1: size=19, decay=0.1000000, bag=FALSE Fold05.Rep1: size=19, decay=0.1000000, bag=FALSE Fold05.Rep1: size= 1, decay=0.0421697, bag=FALSE Fold05.Rep1: size= 1, decay=0.0421697, bag=FALSE Fold05.Rep1: size= 3, decay=0.0421697, bag=FALSE Fold05.Rep1: size= 3, decay=0.0421697, bag=FALSE Fold05.Rep1: size= 5, decay=0.0421697, bag=FALSE Fold05.Rep1: size= 5, decay=0.0421697, bag=FALSE Fold05.Rep1: size= 7, decay=0.0421697, bag=FALSE Fold05.Rep1: size= 7, decay=0.0421697, bag=FALSE Fold05.Rep1: size= 9, decay=0.0421697, bag=FALSE Fold05.Rep1: size= 9, decay=0.0421697, bag=FALSE Fold05.Rep1: size=11, decay=0.0421697, bag=FALSE Fold05.Rep1: size=11, decay=0.0421697, bag=FALSE Fold05.Rep1: size=13, decay=0.0421697, bag=FALSE Fold05.Rep1: size=13, decay=0.0421697, bag=FALSE Fold05.Rep1: size=15, decay=0.0421697, bag=FALSE Fold05.Rep1: size=15, decay=0.0421697, bag=FALSE Fold05.Rep1: size=17, decay=0.0421697, bag=FALSE Fold05.Rep1: size=17, decay=0.0421697, bag=FALSE Fold05.Rep1: size=19, decay=0.0421697, bag=FALSE Fold05.Rep1: size=19, decay=0.0421697, bag=FALSE Fold05.Rep1: size= 1, decay=0.0177828, bag=FALSE Fold05.Rep1: size= 1, decay=0.0177828, bag=FALSE Fold05.Rep1: size= 3, decay=0.0177828, bag=FALSE Fold05.Rep1: size= 3, decay=0.0177828, bag=FALSE Fold05.Rep1: size= 5, decay=0.0177828, bag=FALSE Fold05.Rep1: size= 5, decay=0.0177828, bag=FALSE Fold05.Rep1: size= 7, decay=0.0177828, bag=FALSE Fold05.Rep1: size= 7, decay=0.0177828, bag=FALSE Fold05.Rep1: size= 9, decay=0.0177828, bag=FALSE Fold05.Rep1: size= 9, decay=0.0177828, bag=FALSE Fold05.Rep1: size=11, decay=0.0177828, bag=FALSE Fold05.Rep1: size=11, decay=0.0177828, bag=FALSE Fold05.Rep1: size=13, decay=0.0177828, bag=FALSE Fold05.Rep1: size=13, decay=0.0177828, bag=FALSE Fold05.Rep1: size=15, decay=0.0177828, bag=FALSE Fold05.Rep1: size=15, decay=0.0177828, bag=FALSE Fold05.Rep1: size=17, decay=0.0177828, bag=FALSE Fold05.Rep1: size=17, decay=0.0177828, bag=FALSE Fold05.Rep1: size=19, decay=0.0177828, bag=FALSE Fold05.Rep1: size=19, decay=0.0177828, bag=FALSE Fold05.Rep1: size= 1, decay=0.0074989, bag=FALSE Fold05.Rep1: size= 1, decay=0.0074989, bag=FALSE Fold05.Rep1: size= 3, decay=0.0074989, bag=FALSE Fold05.Rep1: size= 3, decay=0.0074989, bag=FALSE Fold05.Rep1: size= 5, decay=0.0074989, bag=FALSE Fold05.Rep1: size= 5, decay=0.0074989, bag=FALSE Fold05.Rep1: size= 7, decay=0.0074989, bag=FALSE Fold05.Rep1: size= 7, decay=0.0074989, bag=FALSE Fold05.Rep1: size= 9, decay=0.0074989, bag=FALSE Fold05.Rep1: size= 9, decay=0.0074989, bag=FALSE Fold05.Rep1: size=11, decay=0.0074989, bag=FALSE Fold05.Rep1: size=11, decay=0.0074989, bag=FALSE Fold05.Rep1: size=13, decay=0.0074989, bag=FALSE Fold05.Rep1: size=13, decay=0.0074989, bag=FALSE Fold05.Rep1: size=15, decay=0.0074989, bag=FALSE Fold05.Rep1: size=15, decay=0.0074989, bag=FALSE Fold05.Rep1: size=17, decay=0.0074989, bag=FALSE Fold05.Rep1: size=17, decay=0.0074989, bag=FALSE Fold05.Rep1: size=19, decay=0.0074989, bag=FALSE Fold05.Rep1: size=19, decay=0.0074989, bag=FALSE Fold05.Rep1: size= 1, decay=0.0031623, bag=FALSE Fold05.Rep1: size= 1, decay=0.0031623, bag=FALSE Fold05.Rep1: size= 3, decay=0.0031623, bag=FALSE Fold05.Rep1: size= 3, decay=0.0031623, bag=FALSE Fold05.Rep1: size= 5, decay=0.0031623, bag=FALSE Fold05.Rep1: size= 5, decay=0.0031623, bag=FALSE Fold05.Rep1: size= 7, decay=0.0031623, bag=FALSE Fold05.Rep1: size= 7, decay=0.0031623, bag=FALSE Fold05.Rep1: size= 9, decay=0.0031623, bag=FALSE Fold05.Rep1: size= 9, decay=0.0031623, bag=FALSE Fold05.Rep1: size=11, decay=0.0031623, bag=FALSE Fold05.Rep1: size=11, decay=0.0031623, bag=FALSE Fold05.Rep1: size=13, decay=0.0031623, bag=FALSE Fold05.Rep1: size=13, decay=0.0031623, bag=FALSE Fold05.Rep1: size=15, decay=0.0031623, bag=FALSE Fold05.Rep1: size=15, decay=0.0031623, bag=FALSE Fold05.Rep1: size=17, decay=0.0031623, bag=FALSE Fold05.Rep1: size=17, decay=0.0031623, bag=FALSE Fold05.Rep1: size=19, decay=0.0031623, bag=FALSE Fold05.Rep1: size=19, decay=0.0031623, bag=FALSE Fold05.Rep1: size= 1, decay=0.0013335, bag=FALSE Fold05.Rep1: size= 1, decay=0.0013335, bag=FALSE Fold05.Rep1: size= 3, decay=0.0013335, bag=FALSE Fold05.Rep1: size= 3, decay=0.0013335, bag=FALSE Fold05.Rep1: size= 5, decay=0.0013335, bag=FALSE Fold05.Rep1: size= 5, decay=0.0013335, bag=FALSE Fold05.Rep1: size= 7, decay=0.0013335, bag=FALSE Fold05.Rep1: size= 7, decay=0.0013335, bag=FALSE Fold05.Rep1: size= 9, decay=0.0013335, bag=FALSE Fold05.Rep1: size= 9, decay=0.0013335, bag=FALSE Fold05.Rep1: size=11, decay=0.0013335, bag=FALSE Fold05.Rep1: size=11, decay=0.0013335, bag=FALSE Fold05.Rep1: size=13, decay=0.0013335, bag=FALSE Fold05.Rep1: size=13, decay=0.0013335, bag=FALSE Fold05.Rep1: size=15, decay=0.0013335, bag=FALSE Fold05.Rep1: size=15, decay=0.0013335, bag=FALSE Fold05.Rep1: size=17, decay=0.0013335, bag=FALSE Fold05.Rep1: size=17, decay=0.0013335, bag=FALSE Fold05.Rep1: size=19, decay=0.0013335, bag=FALSE Fold05.Rep1: size=19, decay=0.0013335, bag=FALSE Fold05.Rep1: size= 1, decay=0.0005623, bag=FALSE Fold05.Rep1: size= 1, decay=0.0005623, bag=FALSE Fold05.Rep1: size= 3, decay=0.0005623, bag=FALSE Fold05.Rep1: size= 3, decay=0.0005623, bag=FALSE Fold05.Rep1: size= 5, decay=0.0005623, bag=FALSE Fold05.Rep1: size= 5, decay=0.0005623, bag=FALSE Fold05.Rep1: size= 7, decay=0.0005623, bag=FALSE Fold05.Rep1: size= 7, decay=0.0005623, bag=FALSE Fold05.Rep1: size= 9, decay=0.0005623, bag=FALSE Fold05.Rep1: size= 9, decay=0.0005623, bag=FALSE Fold05.Rep1: size=11, decay=0.0005623, bag=FALSE Fold05.Rep1: size=11, decay=0.0005623, bag=FALSE Fold05.Rep1: size=13, decay=0.0005623, bag=FALSE Fold05.Rep1: size=13, decay=0.0005623, bag=FALSE Fold05.Rep1: size=15, decay=0.0005623, bag=FALSE Fold05.Rep1: size=15, decay=0.0005623, bag=FALSE Fold05.Rep1: size=17, decay=0.0005623, bag=FALSE Fold05.Rep1: size=17, decay=0.0005623, bag=FALSE Fold05.Rep1: size=19, decay=0.0005623, bag=FALSE Fold05.Rep1: size=19, decay=0.0005623, bag=FALSE Fold05.Rep1: size= 1, decay=0.0002371, bag=FALSE Fold05.Rep1: size= 1, decay=0.0002371, bag=FALSE Fold05.Rep1: size= 3, decay=0.0002371, bag=FALSE Fold05.Rep1: size= 3, decay=0.0002371, bag=FALSE Fold05.Rep1: size= 5, decay=0.0002371, bag=FALSE Fold05.Rep1: size= 5, decay=0.0002371, bag=FALSE Fold05.Rep1: size= 7, decay=0.0002371, bag=FALSE Fold05.Rep1: size= 7, decay=0.0002371, bag=FALSE Fold05.Rep1: size= 9, decay=0.0002371, bag=FALSE Fold05.Rep1: size= 9, decay=0.0002371, bag=FALSE Fold05.Rep1: size=11, decay=0.0002371, bag=FALSE Fold05.Rep1: size=11, decay=0.0002371, bag=FALSE Fold05.Rep1: size=13, decay=0.0002371, bag=FALSE Fold05.Rep1: size=13, decay=0.0002371, bag=FALSE Fold05.Rep1: size=15, decay=0.0002371, bag=FALSE Fold05.Rep1: size=15, decay=0.0002371, bag=FALSE Fold05.Rep1: size=17, decay=0.0002371, bag=FALSE Fold05.Rep1: size=17, decay=0.0002371, bag=FALSE Fold05.Rep1: size=19, decay=0.0002371, bag=FALSE Fold05.Rep1: size=19, decay=0.0002371, bag=FALSE Fold05.Rep1: size= 1, decay=0.0001000, bag=FALSE Fold05.Rep1: size= 1, decay=0.0001000, bag=FALSE Fold05.Rep1: size= 3, decay=0.0001000, bag=FALSE Fold05.Rep1: size= 3, decay=0.0001000, bag=FALSE Fold05.Rep1: size= 5, decay=0.0001000, bag=FALSE Fold05.Rep1: size= 5, decay=0.0001000, bag=FALSE Fold05.Rep1: size= 7, decay=0.0001000, bag=FALSE Fold05.Rep1: size= 7, decay=0.0001000, bag=FALSE Fold05.Rep1: size= 9, decay=0.0001000, bag=FALSE Fold05.Rep1: size= 9, decay=0.0001000, bag=FALSE Fold05.Rep1: size=11, decay=0.0001000, bag=FALSE Fold05.Rep1: size=11, decay=0.0001000, bag=FALSE Fold05.Rep1: size=13, decay=0.0001000, bag=FALSE Fold05.Rep1: size=13, decay=0.0001000, bag=FALSE Fold05.Rep1: size=15, decay=0.0001000, bag=FALSE Fold05.Rep1: size=15, decay=0.0001000, bag=FALSE Fold05.Rep1: size=17, decay=0.0001000, bag=FALSE Fold05.Rep1: size=17, decay=0.0001000, bag=FALSE Fold05.Rep1: size=19, decay=0.0001000, bag=FALSE Fold05.Rep1: size=19, decay=0.0001000, bag=FALSE o 29 models of 100 were eliminated due to linear dependencies Loading required namespace: BradleyTerry2 o 60 eliminated;11 remain Fold06.Rep1: size= 1, decay=0.000000, bag=FALSE Fold06.Rep1: size= 1, decay=0.000000, bag=FALSE Fold06.Rep1: size= 3, decay=0.000000, bag=FALSE Fold06.Rep1: size= 3, decay=0.000000, bag=FALSE Fold06.Rep1: size= 5, decay=0.000000, bag=FALSE Fold06.Rep1: size= 5, decay=0.000000, bag=FALSE Fold06.Rep1: size= 7, decay=0.000000, bag=FALSE Fold06.Rep1: size= 7, decay=0.000000, bag=FALSE Fold06.Rep1: size= 9, decay=0.000000, bag=FALSE Fold06.Rep1: size= 9, decay=0.000000, bag=FALSE Fold06.Rep1: size=11, decay=0.000000, bag=FALSE Fold06.Rep1: size=11, decay=0.000000, bag=FALSE Fold06.Rep1: size=13, decay=0.000000, bag=FALSE Fold06.Rep1: size=13, decay=0.000000, bag=FALSE Fold06.Rep1: size=15, decay=0.007499, bag=FALSE Fold06.Rep1: size=15, decay=0.007499, bag=FALSE Fold06.Rep1: size=17, decay=0.007499, bag=FALSE Fold06.Rep1: size=17, decay=0.007499, bag=FALSE Fold06.Rep1: size= 9, decay=0.003162, bag=FALSE Fold06.Rep1: size= 9, decay=0.003162, bag=FALSE Fold06.Rep1: size=15, decay=0.003162, bag=FALSE Fold06.Rep1: size=15, decay=0.003162, bag=FALSE o no models eliminated; 11 remain Fold07.Rep1: size= 1, decay=0.000000, bag=FALSE Fold07.Rep1: size= 1, decay=0.000000, bag=FALSE Fold07.Rep1: size=11, decay=0.000000, bag=FALSE Fold07.Rep1: size=11, decay=0.000000, bag=FALSE Fold07.Rep1: size=13, decay=0.000000, bag=FALSE Fold07.Rep1: size=13, decay=0.000000, bag=FALSE Fold07.Rep1: size=15, decay=0.003162, bag=FALSE Fold07.Rep1: size=15, decay=0.003162, bag=FALSE Fold07.Rep1: size=15, decay=0.007499, bag=FALSE Fold07.Rep1: size=15, decay=0.007499, bag=FALSE Fold07.Rep1: size=17, decay=0.007499, bag=FALSE Fold07.Rep1: size=17, decay=0.007499, bag=FALSE Fold07.Rep1: size= 3, decay=0.000000, bag=FALSE Fold07.Rep1: size= 3, decay=0.000000, bag=FALSE Fold07.Rep1: size= 5, decay=0.000000, bag=FALSE Fold07.Rep1: size= 5, decay=0.000000, bag=FALSE Fold07.Rep1: size= 7, decay=0.000000, bag=FALSE Fold07.Rep1: size= 7, decay=0.000000, bag=FALSE Fold07.Rep1: size= 9, decay=0.000000, bag=FALSE Fold07.Rep1: size= 9, decay=0.000000, bag=FALSE Fold07.Rep1: size= 9, decay=0.003162, bag=FALSE Fold07.Rep1: size= 9, decay=0.003162, bag=FALSE o no models eliminated; 11 remain Fold08.Rep1: size= 1, decay=0.000000, bag=FALSE Fold08.Rep1: size= 1, decay=0.000000, bag=FALSE Fold08.Rep1: size=11, decay=0.000000, bag=FALSE Fold08.Rep1: size=11, decay=0.000000, bag=FALSE Fold08.Rep1: size=13, decay=0.000000, bag=FALSE Fold08.Rep1: size=13, decay=0.000000, bag=FALSE Fold08.Rep1: size=15, decay=0.003162, bag=FALSE Fold08.Rep1: size=15, decay=0.003162, bag=FALSE Fold08.Rep1: size=15, decay=0.007499, bag=FALSE Fold08.Rep1: size=15, decay=0.007499, bag=FALSE Fold08.Rep1: size=17, decay=0.007499, bag=FALSE Fold08.Rep1: size=17, decay=0.007499, bag=FALSE Fold08.Rep1: size= 3, decay=0.000000, bag=FALSE Fold08.Rep1: size= 3, decay=0.000000, bag=FALSE Fold08.Rep1: size= 5, decay=0.000000, bag=FALSE Fold08.Rep1: size= 5, decay=0.000000, bag=FALSE Fold08.Rep1: size= 7, decay=0.000000, bag=FALSE Fold08.Rep1: size= 7, decay=0.000000, bag=FALSE Fold08.Rep1: size= 9, decay=0.000000, bag=FALSE Fold08.Rep1: size= 9, decay=0.000000, bag=FALSE Fold08.Rep1: size= 9, decay=0.003162, bag=FALSE Fold08.Rep1: size= 9, decay=0.003162, bag=FALSE o no models eliminated; 11 remain Fold09.Rep1: size= 1, decay=0.000000, bag=FALSE Fold09.Rep1: size= 1, decay=0.000000, bag=FALSE Fold09.Rep1: size=11, decay=0.000000, bag=FALSE Fold09.Rep1: size=11, decay=0.000000, bag=FALSE Fold09.Rep1: size=13, decay=0.000000, bag=FALSE Fold09.Rep1: size=13, decay=0.000000, bag=FALSE Fold09.Rep1: size=15, decay=0.003162, bag=FALSE Fold09.Rep1: size=15, decay=0.003162, bag=FALSE Fold09.Rep1: size=15, decay=0.007499, bag=FALSE Fold09.Rep1: size=15, decay=0.007499, bag=FALSE Fold09.Rep1: size=17, decay=0.007499, bag=FALSE Fold09.Rep1: size=17, decay=0.007499, bag=FALSE Fold09.Rep1: size= 3, decay=0.000000, bag=FALSE Fold09.Rep1: size= 3, decay=0.000000, bag=FALSE Fold09.Rep1: size= 5, decay=0.000000, bag=FALSE Fold09.Rep1: size= 5, decay=0.000000, bag=FALSE Fold09.Rep1: size= 7, decay=0.000000, bag=FALSE Fold09.Rep1: size= 7, decay=0.000000, bag=FALSE Fold09.Rep1: size= 9, decay=0.000000, bag=FALSE Fold09.Rep1: size= 9, decay=0.000000, bag=FALSE Fold09.Rep1: size= 9, decay=0.003162, bag=FALSE Fold09.Rep1: size= 9, decay=0.003162, bag=FALSE o no models eliminated; 11 remain Fold10.Rep1: size= 1, decay=0.000000, bag=FALSE Fold10.Rep1: size= 1, decay=0.000000, bag=FALSE Fold10.Rep1: size=11, decay=0.000000, bag=FALSE Fold10.Rep1: size=11, decay=0.000000, bag=FALSE Fold10.Rep1: size=13, decay=0.000000, bag=FALSE Fold10.Rep1: size=13, decay=0.000000, bag=FALSE Fold10.Rep1: size=15, decay=0.003162, bag=FALSE Fold10.Rep1: size=15, decay=0.003162, bag=FALSE Fold10.Rep1: size=15, decay=0.007499, bag=FALSE Fold10.Rep1: size=15, decay=0.007499, bag=FALSE Fold10.Rep1: size=17, decay=0.007499, bag=FALSE Fold10.Rep1: size=17, decay=0.007499, bag=FALSE Fold10.Rep1: size= 3, decay=0.000000, bag=FALSE Fold10.Rep1: size= 3, decay=0.000000, bag=FALSE Fold10.Rep1: size= 5, decay=0.000000, bag=FALSE Fold10.Rep1: size= 5, decay=0.000000, bag=FALSE Fold10.Rep1: size= 7, decay=0.000000, bag=FALSE Fold10.Rep1: size= 7, decay=0.000000, bag=FALSE Fold10.Rep1: size= 9, decay=0.000000, bag=FALSE Fold10.Rep1: size= 9, decay=0.000000, bag=FALSE Fold10.Rep1: size= 9, decay=0.003162, bag=FALSE Fold10.Rep1: size= 9, decay=0.003162, bag=FALSE o no models eliminated; 11 remain Fold01.Rep2: size= 1, decay=0.000000, bag=FALSE Fold01.Rep2: size= 1, decay=0.000000, bag=FALSE Fold01.Rep2: size=11, decay=0.000000, bag=FALSE Fold01.Rep2: size=11, decay=0.000000, bag=FALSE Fold01.Rep2: size=13, decay=0.000000, bag=FALSE Fold01.Rep2: size=13, decay=0.000000, bag=FALSE Fold01.Rep2: size=15, decay=0.003162, bag=FALSE Fold01.Rep2: size=15, decay=0.003162, bag=FALSE Fold01.Rep2: size=15, decay=0.007499, bag=FALSE Fold01.Rep2: size=15, decay=0.007499, bag=FALSE Fold01.Rep2: size=17, decay=0.007499, bag=FALSE Fold01.Rep2: size=17, decay=0.007499, bag=FALSE Fold01.Rep2: size= 3, decay=0.000000, bag=FALSE Fold01.Rep2: size= 3, decay=0.000000, bag=FALSE Fold01.Rep2: size= 5, decay=0.000000, bag=FALSE Fold01.Rep2: size= 5, decay=0.000000, bag=FALSE Fold01.Rep2: size= 7, decay=0.000000, bag=FALSE Fold01.Rep2: size= 7, decay=0.000000, bag=FALSE Fold01.Rep2: size= 9, decay=0.000000, bag=FALSE Fold01.Rep2: size= 9, decay=0.000000, bag=FALSE Fold01.Rep2: size= 9, decay=0.003162, bag=FALSE Fold01.Rep2: size= 9, decay=0.003162, bag=FALSE o no models eliminated; 11 remain Fold02.Rep2: size= 1, decay=0.000000, bag=FALSE Fold02.Rep2: size= 1, decay=0.000000, bag=FALSE Fold02.Rep2: size=11, decay=0.000000, bag=FALSE Fold02.Rep2: size=11, decay=0.000000, bag=FALSE Fold02.Rep2: size=13, decay=0.000000, bag=FALSE Fold02.Rep2: size=13, decay=0.000000, bag=FALSE Fold02.Rep2: size=15, decay=0.003162, bag=FALSE Fold02.Rep2: size=15, decay=0.003162, bag=FALSE Fold02.Rep2: size=15, decay=0.007499, bag=FALSE Fold02.Rep2: size=15, decay=0.007499, bag=FALSE Fold02.Rep2: size=17, decay=0.007499, bag=FALSE Fold02.Rep2: size=17, decay=0.007499, bag=FALSE Fold02.Rep2: size= 3, decay=0.000000, bag=FALSE Fold02.Rep2: size= 3, decay=0.000000, bag=FALSE Fold02.Rep2: size= 5, decay=0.000000, bag=FALSE Fold02.Rep2: size= 5, decay=0.000000, bag=FALSE Fold02.Rep2: size= 7, decay=0.000000, bag=FALSE Fold02.Rep2: size= 7, decay=0.000000, bag=FALSE Fold02.Rep2: size= 9, decay=0.000000, bag=FALSE Fold02.Rep2: size= 9, decay=0.000000, bag=FALSE Fold02.Rep2: size= 9, decay=0.003162, bag=FALSE Fold02.Rep2: size= 9, decay=0.003162, bag=FALSE o no models eliminated; 11 remain Fold03.Rep2: size= 1, decay=0.000000, bag=FALSE Fold03.Rep2: size= 1, decay=0.000000, bag=FALSE Fold03.Rep2: size=11, decay=0.000000, bag=FALSE Fold03.Rep2: size=11, decay=0.000000, bag=FALSE Fold03.Rep2: size=13, decay=0.000000, bag=FALSE Fold03.Rep2: size=13, decay=0.000000, bag=FALSE Fold03.Rep2: size=15, decay=0.003162, bag=FALSE Fold03.Rep2: size=15, decay=0.003162, bag=FALSE Fold03.Rep2: size=15, decay=0.007499, bag=FALSE Fold03.Rep2: size=15, decay=0.007499, bag=FALSE Fold03.Rep2: size=17, decay=0.007499, bag=FALSE Fold03.Rep2: size=17, decay=0.007499, bag=FALSE Fold03.Rep2: size= 3, decay=0.000000, bag=FALSE Fold03.Rep2: size= 3, decay=0.000000, bag=FALSE Fold03.Rep2: size= 5, decay=0.000000, bag=FALSE Fold03.Rep2: size= 5, decay=0.000000, bag=FALSE Fold03.Rep2: size= 7, decay=0.000000, bag=FALSE Fold03.Rep2: size= 7, decay=0.000000, bag=FALSE Fold03.Rep2: size= 9, decay=0.000000, bag=FALSE Fold03.Rep2: size= 9, decay=0.000000, bag=FALSE Fold03.Rep2: size= 9, decay=0.003162, bag=FALSE Fold03.Rep2: size= 9, decay=0.003162, bag=FALSE o no models eliminated; 11 remain Fold04.Rep2: size= 1, decay=0.000000, bag=FALSE Fold04.Rep2: size= 1, decay=0.000000, bag=FALSE Fold04.Rep2: size=11, decay=0.000000, bag=FALSE Fold04.Rep2: size=11, decay=0.000000, bag=FALSE Fold04.Rep2: size=13, decay=0.000000, bag=FALSE Fold04.Rep2: size=13, decay=0.000000, bag=FALSE Fold04.Rep2: size=15, decay=0.003162, bag=FALSE Fold04.Rep2: size=15, decay=0.003162, bag=FALSE Fold04.Rep2: size=15, decay=0.007499, bag=FALSE Fold04.Rep2: size=15, decay=0.007499, bag=FALSE Fold04.Rep2: size=17, decay=0.007499, bag=FALSE Fold04.Rep2: size=17, decay=0.007499, bag=FALSE Fold04.Rep2: size= 3, decay=0.000000, bag=FALSE Fold04.Rep2: size= 3, decay=0.000000, bag=FALSE Fold04.Rep2: size= 5, decay=0.000000, bag=FALSE Fold04.Rep2: size= 5, decay=0.000000, bag=FALSE Fold04.Rep2: size= 7, decay=0.000000, bag=FALSE Fold04.Rep2: size= 7, decay=0.000000, bag=FALSE Fold04.Rep2: size= 9, decay=0.000000, bag=FALSE Fold04.Rep2: size= 9, decay=0.000000, bag=FALSE Fold04.Rep2: size= 9, decay=0.003162, bag=FALSE Fold04.Rep2: size= 9, decay=0.003162, bag=FALSE o no models eliminated; 11 remain Fold05.Rep2: size= 1, decay=0.000000, bag=FALSE Fold05.Rep2: size= 1, decay=0.000000, bag=FALSE Fold05.Rep2: size=11, decay=0.000000, bag=FALSE Fold05.Rep2: size=11, decay=0.000000, bag=FALSE Fold05.Rep2: size=13, decay=0.000000, bag=FALSE Fold05.Rep2: size=13, decay=0.000000, bag=FALSE Fold05.Rep2: size=15, decay=0.003162, bag=FALSE Fold05.Rep2: size=15, decay=0.003162, bag=FALSE Fold05.Rep2: size=15, decay=0.007499, bag=FALSE Fold05.Rep2: size=15, decay=0.007499, bag=FALSE Fold05.Rep2: size=17, decay=0.007499, bag=FALSE Fold05.Rep2: size=17, decay=0.007499, bag=FALSE Fold05.Rep2: size= 3, decay=0.000000, bag=FALSE Fold05.Rep2: size= 3, decay=0.000000, bag=FALSE Fold05.Rep2: size= 5, decay=0.000000, bag=FALSE Fold05.Rep2: size= 5, decay=0.000000, bag=FALSE Fold05.Rep2: size= 7, decay=0.000000, bag=FALSE Fold05.Rep2: size= 7, decay=0.000000, bag=FALSE Fold05.Rep2: size= 9, decay=0.000000, bag=FALSE Fold05.Rep2: size= 9, decay=0.000000, bag=FALSE Fold05.Rep2: size= 9, decay=0.003162, bag=FALSE Fold05.Rep2: size= 9, decay=0.003162, bag=FALSE o no models eliminated; 11 remain Fold06.Rep2: size= 1, decay=0.000000, bag=FALSE Fold06.Rep2: size= 1, decay=0.000000, bag=FALSE Fold06.Rep2: size=11, decay=0.000000, bag=FALSE Fold06.Rep2: size=11, decay=0.000000, bag=FALSE Fold06.Rep2: size=13, decay=0.000000, bag=FALSE Fold06.Rep2: size=13, decay=0.000000, bag=FALSE Fold06.Rep2: size=15, decay=0.003162, bag=FALSE Fold06.Rep2: size=15, decay=0.003162, bag=FALSE Fold06.Rep2: size=15, decay=0.007499, bag=FALSE Fold06.Rep2: size=15, decay=0.007499, bag=FALSE Fold06.Rep2: size=17, decay=0.007499, bag=FALSE Fold06.Rep2: size=17, decay=0.007499, bag=FALSE Fold06.Rep2: size= 3, decay=0.000000, bag=FALSE Fold06.Rep2: size= 3, decay=0.000000, bag=FALSE Fold06.Rep2: size= 5, decay=0.000000, bag=FALSE Fold06.Rep2: size= 5, decay=0.000000, bag=FALSE Fold06.Rep2: size= 7, decay=0.000000, bag=FALSE Fold06.Rep2: size= 7, decay=0.000000, bag=FALSE Fold06.Rep2: size= 9, decay=0.000000, bag=FALSE Fold06.Rep2: size= 9, decay=0.000000, bag=FALSE Fold06.Rep2: size= 9, decay=0.003162, bag=FALSE Fold06.Rep2: size= 9, decay=0.003162, bag=FALSE o no models eliminated; 11 remain Fold07.Rep2: size= 1, decay=0.000000, bag=FALSE Fold07.Rep2: size= 1, decay=0.000000, bag=FALSE Fold07.Rep2: size=11, decay=0.000000, bag=FALSE Fold07.Rep2: size=11, decay=0.000000, bag=FALSE Fold07.Rep2: size=13, decay=0.000000, bag=FALSE Fold07.Rep2: size=13, decay=0.000000, bag=FALSE Fold07.Rep2: size=15, decay=0.003162, bag=FALSE Fold07.Rep2: size=15, decay=0.003162, bag=FALSE Fold07.Rep2: size=15, decay=0.007499, bag=FALSE Fold07.Rep2: size=15, decay=0.007499, bag=FALSE Fold07.Rep2: size=17, decay=0.007499, bag=FALSE Fold07.Rep2: size=17, decay=0.007499, bag=FALSE Fold07.Rep2: size= 3, decay=0.000000, bag=FALSE Fold07.Rep2: size= 3, decay=0.000000, bag=FALSE Fold07.Rep2: size= 5, decay=0.000000, bag=FALSE Fold07.Rep2: size= 5, decay=0.000000, bag=FALSE Fold07.Rep2: size= 7, decay=0.000000, bag=FALSE Fold07.Rep2: size= 7, decay=0.000000, bag=FALSE Fold07.Rep2: size= 9, decay=0.000000, bag=FALSE Fold07.Rep2: size= 9, decay=0.000000, bag=FALSE Fold07.Rep2: size= 9, decay=0.003162, bag=FALSE Fold07.Rep2: size= 9, decay=0.003162, bag=FALSE o no models eliminated; 11 remain Fold08.Rep2: size= 1, decay=0.000000, bag=FALSE Fold08.Rep2: size= 1, decay=0.000000, bag=FALSE Fold08.Rep2: size=11, decay=0.000000, bag=FALSE Fold08.Rep2: size=11, decay=0.000000, bag=FALSE Fold08.Rep2: size=13, decay=0.000000, bag=FALSE Fold08.Rep2: size=13, decay=0.000000, bag=FALSE Fold08.Rep2: size=15, decay=0.003162, bag=FALSE Fold08.Rep2: size=15, decay=0.003162, bag=FALSE Fold08.Rep2: size=15, decay=0.007499, bag=FALSE Fold08.Rep2: size=15, decay=0.007499, bag=FALSE Fold08.Rep2: size=17, decay=0.007499, bag=FALSE Fold08.Rep2: size=17, decay=0.007499, bag=FALSE Fold08.Rep2: size= 3, decay=0.000000, bag=FALSE Fold08.Rep2: size= 3, decay=0.000000, bag=FALSE Fold08.Rep2: size= 5, decay=0.000000, bag=FALSE Fold08.Rep2: size= 5, decay=0.000000, bag=FALSE Fold08.Rep2: size= 7, decay=0.000000, bag=FALSE Fold08.Rep2: size= 7, decay=0.000000, bag=FALSE Fold08.Rep2: size= 9, decay=0.000000, bag=FALSE Fold08.Rep2: size= 9, decay=0.000000, bag=FALSE Fold08.Rep2: size= 9, decay=0.003162, bag=FALSE Fold08.Rep2: size= 9, decay=0.003162, bag=FALSE o no models eliminated; 11 remain Fold09.Rep2: size= 1, decay=0.000000, bag=FALSE Fold09.Rep2: size= 1, decay=0.000000, bag=FALSE Fold09.Rep2: size=11, decay=0.000000, bag=FALSE Fold09.Rep2: size=11, decay=0.000000, bag=FALSE Fold09.Rep2: size=13, decay=0.000000, bag=FALSE Fold09.Rep2: size=13, decay=0.000000, bag=FALSE Fold09.Rep2: size=15, decay=0.003162, bag=FALSE Fold09.Rep2: size=15, decay=0.003162, bag=FALSE Fold09.Rep2: size=15, decay=0.007499, bag=FALSE Fold09.Rep2: size=15, decay=0.007499, bag=FALSE Fold09.Rep2: size=17, decay=0.007499, bag=FALSE Fold09.Rep2: size=17, decay=0.007499, bag=FALSE Fold09.Rep2: size= 3, decay=0.000000, bag=FALSE Fold09.Rep2: size= 3, decay=0.000000, bag=FALSE Fold09.Rep2: size= 5, decay=0.000000, bag=FALSE Fold09.Rep2: size= 5, decay=0.000000, bag=FALSE Fold09.Rep2: size= 7, decay=0.000000, bag=FALSE Fold09.Rep2: size= 7, decay=0.000000, bag=FALSE Fold09.Rep2: size= 9, decay=0.000000, bag=FALSE Fold09.Rep2: size= 9, decay=0.000000, bag=FALSE Fold09.Rep2: size= 9, decay=0.003162, bag=FALSE Fold09.Rep2: size= 9, decay=0.003162, bag=FALSE o no models eliminated; 11 remain Fold10.Rep2: size= 1, decay=0.000000, bag=FALSE Fold10.Rep2: size= 1, decay=0.000000, bag=FALSE Fold10.Rep2: size=11, decay=0.000000, bag=FALSE Fold10.Rep2: size=11, decay=0.000000, bag=FALSE Fold10.Rep2: size=13, decay=0.000000, bag=FALSE Fold10.Rep2: size=13, decay=0.000000, bag=FALSE Fold10.Rep2: size=15, decay=0.003162, bag=FALSE Fold10.Rep2: size=15, decay=0.003162, bag=FALSE Fold10.Rep2: size=15, decay=0.007499, bag=FALSE Fold10.Rep2: size=15, decay=0.007499, bag=FALSE Fold10.Rep2: size=17, decay=0.007499, bag=FALSE Fold10.Rep2: size=17, decay=0.007499, bag=FALSE Fold10.Rep2: size= 3, decay=0.000000, bag=FALSE Fold10.Rep2: size= 3, decay=0.000000, bag=FALSE Fold10.Rep2: size= 5, decay=0.000000, bag=FALSE Fold10.Rep2: size= 5, decay=0.000000, bag=FALSE Fold10.Rep2: size= 7, decay=0.000000, bag=FALSE Fold10.Rep2: size= 7, decay=0.000000, bag=FALSE Fold10.Rep2: size= 9, decay=0.000000, bag=FALSE Fold10.Rep2: size= 9, decay=0.000000, bag=FALSE Fold10.Rep2: size= 9, decay=0.003162, bag=FALSE Fold10.Rep2: size= 9, decay=0.003162, bag=FALSE o 1 eliminated;10 remain Fold01.Rep3: size= 1, decay=0.000000, bag=FALSE Fold01.Rep3: size= 1, decay=0.000000, bag=FALSE Fold01.Rep3: size=11, decay=0.000000, bag=FALSE Fold01.Rep3: size=11, decay=0.000000, bag=FALSE Fold01.Rep3: size=13, decay=0.000000, bag=FALSE Fold01.Rep3: size=13, decay=0.000000, bag=FALSE Fold01.Rep3: size=15, decay=0.007499, bag=FALSE Fold01.Rep3: size=15, decay=0.007499, bag=FALSE Fold01.Rep3: size=17, decay=0.007499, bag=FALSE Fold01.Rep3: size=17, decay=0.007499, bag=FALSE Fold01.Rep3: size= 3, decay=0.000000, bag=FALSE Fold01.Rep3: size= 3, decay=0.000000, bag=FALSE Fold01.Rep3: size= 5, decay=0.000000, bag=FALSE Fold01.Rep3: size= 5, decay=0.000000, bag=FALSE Fold01.Rep3: size= 7, decay=0.000000, bag=FALSE Fold01.Rep3: size= 7, decay=0.000000, bag=FALSE Fold01.Rep3: size= 9, decay=0.000000, bag=FALSE Fold01.Rep3: size= 9, decay=0.000000, bag=FALSE Fold01.Rep3: size= 9, decay=0.003162, bag=FALSE Fold01.Rep3: size= 9, decay=0.003162, bag=FALSE o no models eliminated; 10 remain Fold02.Rep3: size= 1, decay=0.000000, bag=FALSE Fold02.Rep3: size= 1, decay=0.000000, bag=FALSE Fold02.Rep3: size=11, decay=0.000000, bag=FALSE Fold02.Rep3: size=11, decay=0.000000, bag=FALSE Fold02.Rep3: size=13, decay=0.000000, bag=FALSE Fold02.Rep3: size=13, decay=0.000000, bag=FALSE Fold02.Rep3: size=15, decay=0.007499, bag=FALSE Fold02.Rep3: size=15, decay=0.007499, bag=FALSE Fold02.Rep3: size=17, decay=0.007499, bag=FALSE Fold02.Rep3: size=17, decay=0.007499, bag=FALSE Fold02.Rep3: size= 3, decay=0.000000, bag=FALSE Fold02.Rep3: size= 3, decay=0.000000, bag=FALSE Fold02.Rep3: size= 5, decay=0.000000, bag=FALSE Fold02.Rep3: size= 5, decay=0.000000, bag=FALSE Fold02.Rep3: size= 7, decay=0.000000, bag=FALSE Fold02.Rep3: size= 7, decay=0.000000, bag=FALSE Fold02.Rep3: size= 9, decay=0.000000, bag=FALSE Fold02.Rep3: size= 9, decay=0.000000, bag=FALSE Fold02.Rep3: size= 9, decay=0.003162, bag=FALSE Fold02.Rep3: size= 9, decay=0.003162, bag=FALSE o no models eliminated; 10 remain Fold03.Rep3: size= 1, decay=0.000000, bag=FALSE Fold03.Rep3: size= 1, decay=0.000000, bag=FALSE Fold03.Rep3: size=11, decay=0.000000, bag=FALSE Fold03.Rep3: size=11, decay=0.000000, bag=FALSE Fold03.Rep3: size=13, decay=0.000000, bag=FALSE Fold03.Rep3: size=13, decay=0.000000, bag=FALSE Fold03.Rep3: size=15, decay=0.007499, bag=FALSE Fold03.Rep3: size=15, decay=0.007499, bag=FALSE Fold03.Rep3: size=17, decay=0.007499, bag=FALSE Fold03.Rep3: size=17, decay=0.007499, bag=FALSE Fold03.Rep3: size= 3, decay=0.000000, bag=FALSE Fold03.Rep3: size= 3, decay=0.000000, bag=FALSE Fold03.Rep3: size= 5, decay=0.000000, bag=FALSE Fold03.Rep3: size= 5, decay=0.000000, bag=FALSE Fold03.Rep3: size= 7, decay=0.000000, bag=FALSE Fold03.Rep3: size= 7, decay=0.000000, bag=FALSE Fold03.Rep3: size= 9, decay=0.000000, bag=FALSE Fold03.Rep3: size= 9, decay=0.000000, bag=FALSE Fold03.Rep3: size= 9, decay=0.003162, bag=FALSE Fold03.Rep3: size= 9, decay=0.003162, bag=FALSE o no models eliminated; 10 remain Fold04.Rep3: size= 1, decay=0.000000, bag=FALSE Fold04.Rep3: size= 1, decay=0.000000, bag=FALSE Fold04.Rep3: size=11, decay=0.000000, bag=FALSE Fold04.Rep3: size=11, decay=0.000000, bag=FALSE Fold04.Rep3: size=13, decay=0.000000, bag=FALSE Fold04.Rep3: size=13, decay=0.000000, bag=FALSE Fold04.Rep3: size=15, decay=0.007499, bag=FALSE Fold04.Rep3: size=15, decay=0.007499, bag=FALSE Fold04.Rep3: size=17, decay=0.007499, bag=FALSE Fold04.Rep3: size=17, decay=0.007499, bag=FALSE Fold04.Rep3: size= 3, decay=0.000000, bag=FALSE Fold04.Rep3: size= 3, decay=0.000000, bag=FALSE Fold04.Rep3: size= 5, decay=0.000000, bag=FALSE Fold04.Rep3: size= 5, decay=0.000000, bag=FALSE Fold04.Rep3: size= 7, decay=0.000000, bag=FALSE Fold04.Rep3: size= 7, decay=0.000000, bag=FALSE Fold04.Rep3: size= 9, decay=0.000000, bag=FALSE Fold04.Rep3: size= 9, decay=0.000000, bag=FALSE Fold04.Rep3: size= 9, decay=0.003162, bag=FALSE Fold04.Rep3: size= 9, decay=0.003162, bag=FALSE o no models eliminated; 10 remain Fold05.Rep3: size= 1, decay=0.000000, bag=FALSE Fold05.Rep3: size= 1, decay=0.000000, bag=FALSE Fold05.Rep3: size=11, decay=0.000000, bag=FALSE Fold05.Rep3: size=11, decay=0.000000, bag=FALSE Fold05.Rep3: size=13, decay=0.000000, bag=FALSE Fold05.Rep3: size=13, decay=0.000000, bag=FALSE Fold05.Rep3: size=15, decay=0.007499, bag=FALSE Fold05.Rep3: size=15, decay=0.007499, bag=FALSE Fold05.Rep3: size=17, decay=0.007499, bag=FALSE Fold05.Rep3: size=17, decay=0.007499, bag=FALSE Fold05.Rep3: size= 3, decay=0.000000, bag=FALSE Fold05.Rep3: size= 3, decay=0.000000, bag=FALSE Fold05.Rep3: size= 5, decay=0.000000, bag=FALSE Fold05.Rep3: size= 5, decay=0.000000, bag=FALSE Fold05.Rep3: size= 7, decay=0.000000, bag=FALSE Fold05.Rep3: size= 7, decay=0.000000, bag=FALSE Fold05.Rep3: size= 9, decay=0.000000, bag=FALSE Fold05.Rep3: size= 9, decay=0.000000, bag=FALSE Fold05.Rep3: size= 9, decay=0.003162, bag=FALSE Fold05.Rep3: size= 9, decay=0.003162, bag=FALSE o no models eliminated; 10 remain Fold06.Rep3: size= 1, decay=0.000000, bag=FALSE Fold06.Rep3: size= 1, decay=0.000000, bag=FALSE Fold06.Rep3: size=11, decay=0.000000, bag=FALSE Fold06.Rep3: size=11, decay=0.000000, bag=FALSE Fold06.Rep3: size=13, decay=0.000000, bag=FALSE Fold06.Rep3: size=13, decay=0.000000, bag=FALSE Fold06.Rep3: size=15, decay=0.007499, bag=FALSE Fold06.Rep3: size=15, decay=0.007499, bag=FALSE Fold06.Rep3: size=17, decay=0.007499, bag=FALSE Fold06.Rep3: size=17, decay=0.007499, bag=FALSE Fold06.Rep3: size= 3, decay=0.000000, bag=FALSE Fold06.Rep3: size= 3, decay=0.000000, bag=FALSE Fold06.Rep3: size= 5, decay=0.000000, bag=FALSE Fold06.Rep3: size= 5, decay=0.000000, bag=FALSE Fold06.Rep3: size= 7, decay=0.000000, bag=FALSE Fold06.Rep3: size= 7, decay=0.000000, bag=FALSE Fold06.Rep3: size= 9, decay=0.000000, bag=FALSE Fold06.Rep3: size= 9, decay=0.000000, bag=FALSE Fold06.Rep3: size= 9, decay=0.003162, bag=FALSE Fold06.Rep3: size= 9, decay=0.003162, bag=FALSE o no models eliminated; 10 remain Fold07.Rep3: size= 1, decay=0.000000, bag=FALSE Fold07.Rep3: size= 1, decay=0.000000, bag=FALSE Fold07.Rep3: size=11, decay=0.000000, bag=FALSE Fold07.Rep3: size=11, decay=0.000000, bag=FALSE Fold07.Rep3: size=13, decay=0.000000, bag=FALSE Fold07.Rep3: size=13, decay=0.000000, bag=FALSE Fold07.Rep3: size=15, decay=0.007499, bag=FALSE Fold07.Rep3: size=15, decay=0.007499, bag=FALSE Fold07.Rep3: size=17, decay=0.007499, bag=FALSE Fold07.Rep3: size=17, decay=0.007499, bag=FALSE Fold07.Rep3: size= 3, decay=0.000000, bag=FALSE Fold07.Rep3: size= 3, decay=0.000000, bag=FALSE Fold07.Rep3: size= 5, decay=0.000000, bag=FALSE Fold07.Rep3: size= 5, decay=0.000000, bag=FALSE Fold07.Rep3: size= 7, decay=0.000000, bag=FALSE Fold07.Rep3: size= 7, decay=0.000000, bag=FALSE Fold07.Rep3: size= 9, decay=0.000000, bag=FALSE Fold07.Rep3: size= 9, decay=0.000000, bag=FALSE Fold07.Rep3: size= 9, decay=0.003162, bag=FALSE Fold07.Rep3: size= 9, decay=0.003162, bag=FALSE o no models eliminated; 10 remain Fold08.Rep3: size= 1, decay=0.000000, bag=FALSE Fold08.Rep3: size= 1, decay=0.000000, bag=FALSE Fold08.Rep3: size=11, decay=0.000000, bag=FALSE Fold08.Rep3: size=11, decay=0.000000, bag=FALSE Fold08.Rep3: size=13, decay=0.000000, bag=FALSE Fold08.Rep3: size=13, decay=0.000000, bag=FALSE Fold08.Rep3: size=15, decay=0.007499, bag=FALSE Fold08.Rep3: size=15, decay=0.007499, bag=FALSE Fold08.Rep3: size=17, decay=0.007499, bag=FALSE Fold08.Rep3: size=17, decay=0.007499, bag=FALSE Fold08.Rep3: size= 3, decay=0.000000, bag=FALSE Fold08.Rep3: size= 3, decay=0.000000, bag=FALSE Fold08.Rep3: size= 5, decay=0.000000, bag=FALSE Fold08.Rep3: size= 5, decay=0.000000, bag=FALSE Fold08.Rep3: size= 7, decay=0.000000, bag=FALSE Fold08.Rep3: size= 7, decay=0.000000, bag=FALSE Fold08.Rep3: size= 9, decay=0.000000, bag=FALSE Fold08.Rep3: size= 9, decay=0.000000, bag=FALSE Fold08.Rep3: size= 9, decay=0.003162, bag=FALSE Fold08.Rep3: size= 9, decay=0.003162, bag=FALSE o no models eliminated; 10 remain Fold09.Rep3: size= 1, decay=0.000000, bag=FALSE Fold09.Rep3: size= 1, decay=0.000000, bag=FALSE Fold09.Rep3: size=11, decay=0.000000, bag=FALSE Fold09.Rep3: size=11, decay=0.000000, bag=FALSE Fold09.Rep3: size=13, decay=0.000000, bag=FALSE Fold09.Rep3: size=13, decay=0.000000, bag=FALSE Fold09.Rep3: size=15, decay=0.007499, bag=FALSE Fold09.Rep3: size=15, decay=0.007499, bag=FALSE Fold09.Rep3: size=17, decay=0.007499, bag=FALSE Fold09.Rep3: size=17, decay=0.007499, bag=FALSE Fold09.Rep3: size= 3, decay=0.000000, bag=FALSE Fold09.Rep3: size= 3, decay=0.000000, bag=FALSE Fold09.Rep3: size= 5, decay=0.000000, bag=FALSE Fold09.Rep3: size= 5, decay=0.000000, bag=FALSE Fold09.Rep3: size= 7, decay=0.000000, bag=FALSE Fold09.Rep3: size= 7, decay=0.000000, bag=FALSE Fold09.Rep3: size= 9, decay=0.000000, bag=FALSE Fold09.Rep3: size= 9, decay=0.000000, bag=FALSE Fold09.Rep3: size= 9, decay=0.003162, bag=FALSE Fold09.Rep3: size= 9, decay=0.003162, bag=FALSE o no models eliminated; 10 remain Fold10.Rep3: size= 1, decay=0.000000, bag=FALSE Fold10.Rep3: size= 1, decay=0.000000, bag=FALSE Fold10.Rep3: size=11, decay=0.000000, bag=FALSE Fold10.Rep3: size=11, decay=0.000000, bag=FALSE Fold10.Rep3: size=13, decay=0.000000, bag=FALSE Fold10.Rep3: size=13, decay=0.000000, bag=FALSE Fold10.Rep3: size=15, decay=0.007499, bag=FALSE Fold10.Rep3: size=15, decay=0.007499, bag=FALSE Fold10.Rep3: size=17, decay=0.007499, bag=FALSE Fold10.Rep3: size=17, decay=0.007499, bag=FALSE Fold10.Rep3: size= 3, decay=0.000000, bag=FALSE Fold10.Rep3: size= 3, decay=0.000000, bag=FALSE Fold10.Rep3: size= 5, decay=0.000000, bag=FALSE Fold10.Rep3: size= 5, decay=0.000000, bag=FALSE Fold10.Rep3: size= 7, decay=0.000000, bag=FALSE Fold10.Rep3: size= 7, decay=0.000000, bag=FALSE Fold10.Rep3: size= 9, decay=0.000000, bag=FALSE Fold10.Rep3: size= 9, decay=0.000000, bag=FALSE Fold10.Rep3: size= 9, decay=0.003162, bag=FALSE Fold10.Rep3: size= 9, decay=0.003162, bag=FALSE o no models eliminated; 10 remain Fold01.Rep4: size= 1, decay=0.000000, bag=FALSE Fold01.Rep4: size= 1, decay=0.000000, bag=FALSE Fold01.Rep4: size=11, decay=0.000000, bag=FALSE Fold01.Rep4: size=11, decay=0.000000, bag=FALSE Fold01.Rep4: size=13, decay=0.000000, bag=FALSE Fold01.Rep4: size=13, decay=0.000000, bag=FALSE Fold01.Rep4: size=15, decay=0.007499, bag=FALSE Fold01.Rep4: size=15, decay=0.007499, bag=FALSE Fold01.Rep4: size=17, decay=0.007499, bag=FALSE Fold01.Rep4: size=17, decay=0.007499, bag=FALSE Fold01.Rep4: size= 3, decay=0.000000, bag=FALSE Fold01.Rep4: size= 3, decay=0.000000, bag=FALSE Fold01.Rep4: size= 5, decay=0.000000, bag=FALSE Fold01.Rep4: size= 5, decay=0.000000, bag=FALSE Fold01.Rep4: size= 7, decay=0.000000, bag=FALSE Fold01.Rep4: size= 7, decay=0.000000, bag=FALSE Fold01.Rep4: size= 9, decay=0.000000, bag=FALSE Fold01.Rep4: size= 9, decay=0.000000, bag=FALSE Fold01.Rep4: size= 9, decay=0.003162, bag=FALSE Fold01.Rep4: size= 9, decay=0.003162, bag=FALSE o no models eliminated; 10 remain Fold02.Rep4: size= 1, decay=0.000000, bag=FALSE Fold02.Rep4: size= 1, decay=0.000000, bag=FALSE Fold02.Rep4: size=11, decay=0.000000, bag=FALSE Fold02.Rep4: size=11, decay=0.000000, bag=FALSE Fold02.Rep4: size=13, decay=0.000000, bag=FALSE Fold02.Rep4: size=13, decay=0.000000, bag=FALSE Fold02.Rep4: size=15, decay=0.007499, bag=FALSE Fold02.Rep4: size=15, decay=0.007499, bag=FALSE Fold02.Rep4: size=17, decay=0.007499, bag=FALSE Fold02.Rep4: size=17, decay=0.007499, bag=FALSE Fold02.Rep4: size= 3, decay=0.000000, bag=FALSE Fold02.Rep4: size= 3, decay=0.000000, bag=FALSE Fold02.Rep4: size= 5, decay=0.000000, bag=FALSE Fold02.Rep4: size= 5, decay=0.000000, bag=FALSE Fold02.Rep4: size= 7, decay=0.000000, bag=FALSE Fold02.Rep4: size= 7, decay=0.000000, bag=FALSE Fold02.Rep4: size= 9, decay=0.000000, bag=FALSE Fold02.Rep4: size= 9, decay=0.000000, bag=FALSE Fold02.Rep4: size= 9, decay=0.003162, bag=FALSE Fold02.Rep4: size= 9, decay=0.003162, bag=FALSE o no models eliminated; 10 remain Fold03.Rep4: size= 1, decay=0.000000, bag=FALSE Fold03.Rep4: size= 1, decay=0.000000, bag=FALSE Fold03.Rep4: size=11, decay=0.000000, bag=FALSE Fold03.Rep4: size=11, decay=0.000000, bag=FALSE Fold03.Rep4: size=13, decay=0.000000, bag=FALSE Fold03.Rep4: size=13, decay=0.000000, bag=FALSE Fold03.Rep4: size=15, decay=0.007499, bag=FALSE Fold03.Rep4: size=15, decay=0.007499, bag=FALSE Fold03.Rep4: size=17, decay=0.007499, bag=FALSE Fold03.Rep4: size=17, decay=0.007499, bag=FALSE Fold03.Rep4: size= 3, decay=0.000000, bag=FALSE Fold03.Rep4: size= 3, decay=0.000000, bag=FALSE Fold03.Rep4: size= 5, decay=0.000000, bag=FALSE Fold03.Rep4: size= 5, decay=0.000000, bag=FALSE Fold03.Rep4: size= 7, decay=0.000000, bag=FALSE Fold03.Rep4: size= 7, decay=0.000000, bag=FALSE Fold03.Rep4: size= 9, decay=0.000000, bag=FALSE Fold03.Rep4: size= 9, decay=0.000000, bag=FALSE Fold03.Rep4: size= 9, decay=0.003162, bag=FALSE Fold03.Rep4: size= 9, decay=0.003162, bag=FALSE o no models eliminated; 10 remain Fold04.Rep4: size= 1, decay=0.000000, bag=FALSE Fold04.Rep4: size= 1, decay=0.000000, bag=FALSE Fold04.Rep4: size=11, decay=0.000000, bag=FALSE Fold04.Rep4: size=11, decay=0.000000, bag=FALSE Fold04.Rep4: size=13, decay=0.000000, bag=FALSE Fold04.Rep4: size=13, decay=0.000000, bag=FALSE Fold04.Rep4: size=15, decay=0.007499, bag=FALSE Fold04.Rep4: size=15, decay=0.007499, bag=FALSE Fold04.Rep4: size=17, decay=0.007499, bag=FALSE Fold04.Rep4: size=17, decay=0.007499, bag=FALSE Fold04.Rep4: size= 3, decay=0.000000, bag=FALSE Fold04.Rep4: size= 3, decay=0.000000, bag=FALSE Fold04.Rep4: size= 5, decay=0.000000, bag=FALSE Fold04.Rep4: size= 5, decay=0.000000, bag=FALSE Fold04.Rep4: size= 7, decay=0.000000, bag=FALSE Fold04.Rep4: size= 7, decay=0.000000, bag=FALSE Fold04.Rep4: size= 9, decay=0.000000, bag=FALSE Fold04.Rep4: size= 9, decay=0.000000, bag=FALSE Fold04.Rep4: size= 9, decay=0.003162, bag=FALSE Fold04.Rep4: size= 9, decay=0.003162, bag=FALSE o no models eliminated; 10 remain Fold05.Rep4: size= 1, decay=0.000000, bag=FALSE Fold05.Rep4: size= 1, decay=0.000000, bag=FALSE Fold05.Rep4: size=11, decay=0.000000, bag=FALSE Fold05.Rep4: size=11, decay=0.000000, bag=FALSE Fold05.Rep4: size=13, decay=0.000000, bag=FALSE Fold05.Rep4: size=13, decay=0.000000, bag=FALSE Fold05.Rep4: size=15, decay=0.007499, bag=FALSE Fold05.Rep4: size=15, decay=0.007499, bag=FALSE Fold05.Rep4: size=17, decay=0.007499, bag=FALSE Fold05.Rep4: size=17, decay=0.007499, bag=FALSE Fold05.Rep4: size= 3, decay=0.000000, bag=FALSE Fold05.Rep4: size= 3, decay=0.000000, bag=FALSE Fold05.Rep4: size= 5, decay=0.000000, bag=FALSE Fold05.Rep4: size= 5, decay=0.000000, bag=FALSE Fold05.Rep4: size= 7, decay=0.000000, bag=FALSE Fold05.Rep4: size= 7, decay=0.000000, bag=FALSE Fold05.Rep4: size= 9, decay=0.000000, bag=FALSE Fold05.Rep4: size= 9, decay=0.000000, bag=FALSE Fold05.Rep4: size= 9, decay=0.003162, bag=FALSE Fold05.Rep4: size= 9, decay=0.003162, bag=FALSE o no models eliminated; 10 remain Fold06.Rep4: size= 1, decay=0.000000, bag=FALSE Fold06.Rep4: size= 1, decay=0.000000, bag=FALSE Fold06.Rep4: size=11, decay=0.000000, bag=FALSE Fold06.Rep4: size=11, decay=0.000000, bag=FALSE Fold06.Rep4: size=13, decay=0.000000, bag=FALSE Fold06.Rep4: size=13, decay=0.000000, bag=FALSE Fold06.Rep4: size=15, decay=0.007499, bag=FALSE Fold06.Rep4: size=15, decay=0.007499, bag=FALSE Fold06.Rep4: size=17, decay=0.007499, bag=FALSE Fold06.Rep4: size=17, decay=0.007499, bag=FALSE Fold06.Rep4: size= 3, decay=0.000000, bag=FALSE Fold06.Rep4: size= 3, decay=0.000000, bag=FALSE Fold06.Rep4: size= 5, decay=0.000000, bag=FALSE Fold06.Rep4: size= 5, decay=0.000000, bag=FALSE Fold06.Rep4: size= 7, decay=0.000000, bag=FALSE Fold06.Rep4: size= 7, decay=0.000000, bag=FALSE Fold06.Rep4: size= 9, decay=0.000000, bag=FALSE Fold06.Rep4: size= 9, decay=0.000000, bag=FALSE Fold06.Rep4: size= 9, decay=0.003162, bag=FALSE Fold06.Rep4: size= 9, decay=0.003162, bag=FALSE o no models eliminated; 10 remain Fold07.Rep4: size= 1, decay=0.000000, bag=FALSE Fold07.Rep4: size= 1, decay=0.000000, bag=FALSE Fold07.Rep4: size=11, decay=0.000000, bag=FALSE Fold07.Rep4: size=11, decay=0.000000, bag=FALSE Fold07.Rep4: size=13, decay=0.000000, bag=FALSE Fold07.Rep4: size=13, decay=0.000000, bag=FALSE Fold07.Rep4: size=15, decay=0.007499, bag=FALSE Fold07.Rep4: size=15, decay=0.007499, bag=FALSE Fold07.Rep4: size=17, decay=0.007499, bag=FALSE Fold07.Rep4: size=17, decay=0.007499, bag=FALSE Fold07.Rep4: size= 3, decay=0.000000, bag=FALSE Fold07.Rep4: size= 3, decay=0.000000, bag=FALSE Fold07.Rep4: size= 5, decay=0.000000, bag=FALSE Fold07.Rep4: size= 5, decay=0.000000, bag=FALSE Fold07.Rep4: size= 7, decay=0.000000, bag=FALSE Fold07.Rep4: size= 7, decay=0.000000, bag=FALSE Fold07.Rep4: size= 9, decay=0.000000, bag=FALSE Fold07.Rep4: size= 9, decay=0.000000, bag=FALSE Fold07.Rep4: size= 9, decay=0.003162, bag=FALSE Fold07.Rep4: size= 9, decay=0.003162, bag=FALSE o no models eliminated; 10 remain Fold08.Rep4: size= 1, decay=0.000000, bag=FALSE Fold08.Rep4: size= 1, decay=0.000000, bag=FALSE Fold08.Rep4: size=11, decay=0.000000, bag=FALSE Fold08.Rep4: size=11, decay=0.000000, bag=FALSE Fold08.Rep4: size=13, decay=0.000000, bag=FALSE Fold08.Rep4: size=13, decay=0.000000, bag=FALSE Fold08.Rep4: size=15, decay=0.007499, bag=FALSE Fold08.Rep4: size=15, decay=0.007499, bag=FALSE Fold08.Rep4: size=17, decay=0.007499, bag=FALSE Fold08.Rep4: size=17, decay=0.007499, bag=FALSE Fold08.Rep4: size= 3, decay=0.000000, bag=FALSE Fold08.Rep4: size= 3, decay=0.000000, bag=FALSE Fold08.Rep4: size= 5, decay=0.000000, bag=FALSE Fold08.Rep4: size= 5, decay=0.000000, bag=FALSE Fold08.Rep4: size= 7, decay=0.000000, bag=FALSE Fold08.Rep4: size= 7, decay=0.000000, bag=FALSE Fold08.Rep4: size= 9, decay=0.000000, bag=FALSE Fold08.Rep4: size= 9, decay=0.000000, bag=FALSE Fold08.Rep4: size= 9, decay=0.003162, bag=FALSE Fold08.Rep4: size= 9, decay=0.003162, bag=FALSE o no models eliminated; 10 remain Fold09.Rep4: size= 1, decay=0.000000, bag=FALSE Fold09.Rep4: size= 1, decay=0.000000, bag=FALSE Fold09.Rep4: size=11, decay=0.000000, bag=FALSE Fold09.Rep4: size=11, decay=0.000000, bag=FALSE Fold09.Rep4: size=13, decay=0.000000, bag=FALSE Fold09.Rep4: size=13, decay=0.000000, bag=FALSE Fold09.Rep4: size=15, decay=0.007499, bag=FALSE Fold09.Rep4: size=15, decay=0.007499, bag=FALSE Fold09.Rep4: size=17, decay=0.007499, bag=FALSE Fold09.Rep4: size=17, decay=0.007499, bag=FALSE Fold09.Rep4: size= 3, decay=0.000000, bag=FALSE Fold09.Rep4: size= 3, decay=0.000000, bag=FALSE Fold09.Rep4: size= 5, decay=0.000000, bag=FALSE Fold09.Rep4: size= 5, decay=0.000000, bag=FALSE Fold09.Rep4: size= 7, decay=0.000000, bag=FALSE Fold09.Rep4: size= 7, decay=0.000000, bag=FALSE Fold09.Rep4: size= 9, decay=0.000000, bag=FALSE Fold09.Rep4: size= 9, decay=0.000000, bag=FALSE Fold09.Rep4: size= 9, decay=0.003162, bag=FALSE Fold09.Rep4: size= 9, decay=0.003162, bag=FALSE o no models eliminated; 10 remain Fold10.Rep4: size= 1, decay=0.000000, bag=FALSE Fold10.Rep4: size= 1, decay=0.000000, bag=FALSE Fold10.Rep4: size=11, decay=0.000000, bag=FALSE Fold10.Rep4: size=11, decay=0.000000, bag=FALSE Fold10.Rep4: size=13, decay=0.000000, bag=FALSE Fold10.Rep4: size=13, decay=0.000000, bag=FALSE Fold10.Rep4: size=15, decay=0.007499, bag=FALSE Fold10.Rep4: size=15, decay=0.007499, bag=FALSE Fold10.Rep4: size=17, decay=0.007499, bag=FALSE Fold10.Rep4: size=17, decay=0.007499, bag=FALSE Fold10.Rep4: size= 3, decay=0.000000, bag=FALSE Fold10.Rep4: size= 3, decay=0.000000, bag=FALSE Fold10.Rep4: size= 5, decay=0.000000, bag=FALSE Fold10.Rep4: size= 5, decay=0.000000, bag=FALSE Fold10.Rep4: size= 7, decay=0.000000, bag=FALSE Fold10.Rep4: size= 7, decay=0.000000, bag=FALSE Fold10.Rep4: size= 9, decay=0.000000, bag=FALSE Fold10.Rep4: size= 9, decay=0.000000, bag=FALSE Fold10.Rep4: size= 9, decay=0.003162, bag=FALSE Fold10.Rep4: size= 9, decay=0.003162, bag=FALSE o no models eliminated; 10 remain Fold01.Rep5: size= 1, decay=0.000000, bag=FALSE Fold01.Rep5: size= 1, decay=0.000000, bag=FALSE Fold01.Rep5: size=11, decay=0.000000, bag=FALSE Fold01.Rep5: size=11, decay=0.000000, bag=FALSE Fold01.Rep5: size=13, decay=0.000000, bag=FALSE Fold01.Rep5: size=13, decay=0.000000, bag=FALSE Fold01.Rep5: size=15, decay=0.007499, bag=FALSE Fold01.Rep5: size=15, decay=0.007499, bag=FALSE Fold01.Rep5: size=17, decay=0.007499, bag=FALSE Fold01.Rep5: size=17, decay=0.007499, bag=FALSE Fold01.Rep5: size= 3, decay=0.000000, bag=FALSE Fold01.Rep5: size= 3, decay=0.000000, bag=FALSE Fold01.Rep5: size= 5, decay=0.000000, bag=FALSE Fold01.Rep5: size= 5, decay=0.000000, bag=FALSE Fold01.Rep5: size= 7, decay=0.000000, bag=FALSE Fold01.Rep5: size= 7, decay=0.000000, bag=FALSE Fold01.Rep5: size= 9, decay=0.000000, bag=FALSE Fold01.Rep5: size= 9, decay=0.000000, bag=FALSE Fold01.Rep5: size= 9, decay=0.003162, bag=FALSE Fold01.Rep5: size= 9, decay=0.003162, bag=FALSE o no models eliminated; 10 remain Fold02.Rep5: size= 1, decay=0.000000, bag=FALSE Fold02.Rep5: size= 1, decay=0.000000, bag=FALSE Fold02.Rep5: size=11, decay=0.000000, bag=FALSE Fold02.Rep5: size=11, decay=0.000000, bag=FALSE Fold02.Rep5: size=13, decay=0.000000, bag=FALSE Fold02.Rep5: size=13, decay=0.000000, bag=FALSE Fold02.Rep5: size=15, decay=0.007499, bag=FALSE Fold02.Rep5: size=15, decay=0.007499, bag=FALSE Fold02.Rep5: size=17, decay=0.007499, bag=FALSE Fold02.Rep5: size=17, decay=0.007499, bag=FALSE Fold02.Rep5: size= 3, decay=0.000000, bag=FALSE Fold02.Rep5: size= 3, decay=0.000000, bag=FALSE Fold02.Rep5: size= 5, decay=0.000000, bag=FALSE Fold02.Rep5: size= 5, decay=0.000000, bag=FALSE Fold02.Rep5: size= 7, decay=0.000000, bag=FALSE Fold02.Rep5: size= 7, decay=0.000000, bag=FALSE Fold02.Rep5: size= 9, decay=0.000000, bag=FALSE Fold02.Rep5: size= 9, decay=0.000000, bag=FALSE Fold02.Rep5: size= 9, decay=0.003162, bag=FALSE Fold02.Rep5: size= 9, decay=0.003162, bag=FALSE o no models eliminated; 10 remain Fold03.Rep5: size= 1, decay=0.000000, bag=FALSE Fold03.Rep5: size= 1, decay=0.000000, bag=FALSE Fold03.Rep5: size=11, decay=0.000000, bag=FALSE Fold03.Rep5: size=11, decay=0.000000, bag=FALSE Fold03.Rep5: size=13, decay=0.000000, bag=FALSE Fold03.Rep5: size=13, decay=0.000000, bag=FALSE Fold03.Rep5: size=15, decay=0.007499, bag=FALSE Fold03.Rep5: size=15, decay=0.007499, bag=FALSE Fold03.Rep5: size=17, decay=0.007499, bag=FALSE Fold03.Rep5: size=17, decay=0.007499, bag=FALSE Fold03.Rep5: size= 3, decay=0.000000, bag=FALSE Fold03.Rep5: size= 3, decay=0.000000, bag=FALSE Fold03.Rep5: size= 5, decay=0.000000, bag=FALSE Fold03.Rep5: size= 5, decay=0.000000, bag=FALSE Fold03.Rep5: size= 7, decay=0.000000, bag=FALSE Fold03.Rep5: size= 7, decay=0.000000, bag=FALSE Fold03.Rep5: size= 9, decay=0.000000, bag=FALSE Fold03.Rep5: size= 9, decay=0.000000, bag=FALSE Fold03.Rep5: size= 9, decay=0.003162, bag=FALSE Fold03.Rep5: size= 9, decay=0.003162, bag=FALSE o 7 eliminated;3 remain Fold04.Rep5: size=15, decay=0.007499, bag=FALSE Fold04.Rep5: size=15, decay=0.007499, bag=FALSE Fold04.Rep5: size=17, decay=0.007499, bag=FALSE Fold04.Rep5: size=17, decay=0.007499, bag=FALSE Fold04.Rep5: size= 9, decay=0.003162, bag=FALSE Fold04.Rep5: size= 9, decay=0.003162, bag=FALSE o no models eliminated; 3 remain Fold05.Rep5: size=15, decay=0.007499, bag=FALSE Fold05.Rep5: size=15, decay=0.007499, bag=FALSE Fold05.Rep5: size=17, decay=0.007499, bag=FALSE Fold05.Rep5: size=17, decay=0.007499, bag=FALSE Fold05.Rep5: size= 9, decay=0.003162, bag=FALSE Fold05.Rep5: size= 9, decay=0.003162, bag=FALSE o no models eliminated; 3 remain Fold06.Rep5: size=15, decay=0.007499, bag=FALSE Fold06.Rep5: size=15, decay=0.007499, bag=FALSE Fold06.Rep5: size=17, decay=0.007499, bag=FALSE Fold06.Rep5: size=17, decay=0.007499, bag=FALSE Fold06.Rep5: size= 9, decay=0.003162, bag=FALSE Fold06.Rep5: size= 9, decay=0.003162, bag=FALSE o no models eliminated; 3 remain Fold07.Rep5: size=15, decay=0.007499, bag=FALSE Fold07.Rep5: size=15, decay=0.007499, bag=FALSE Fold07.Rep5: size=17, decay=0.007499, bag=FALSE Fold07.Rep5: size=17, decay=0.007499, bag=FALSE Fold07.Rep5: size= 9, decay=0.003162, bag=FALSE Fold07.Rep5: size= 9, decay=0.003162, bag=FALSE o 1 eliminated;2 remain Fold08.Rep5: size=15, decay=0.007499, bag=FALSE Fold08.Rep5: size=15, decay=0.007499, bag=FALSE Fold08.Rep5: size=17, decay=0.007499, bag=FALSE Fold08.Rep5: size=17, decay=0.007499, bag=FALSE o no models eliminated; 2 remain Fold09.Rep5: size=15, decay=0.007499, bag=FALSE Fold09.Rep5: size=15, decay=0.007499, bag=FALSE Fold09.Rep5: size=17, decay=0.007499, bag=FALSE Fold09.Rep5: size=17, decay=0.007499, bag=FALSE o no models eliminated; 2 remain Fold10.Rep5: size=15, decay=0.007499, bag=FALSE Fold10.Rep5: size=15, decay=0.007499, bag=FALSE Fold10.Rep5: size=17, decay=0.007499, bag=FALSE Fold10.Rep5: size=17, decay=0.007499, bag=FALSE o no models eliminated; 2 remain Aggregating results Selecting tuning parameters Fitting size = 17, decay = 0.0075, bag = FALSE on full training set There were 41 warnings (use warnings() to see them)

sessionInfo() R version 3.2.2 (2015-08-14) Platform: x86_64-w64-mingw32/x64 (64-bit) Running under: Windows 8 x64 (build 9200) locale: [1] LC_COLLATE=Chinese (Simplified)_China.936 [2] LC_CTYPE=Chinese (Simplified)_China.936 [3] LC_MONETARY=Chinese (Simplified)_China.936 [4] LC_NUMERIC=C [5] LC_TIME=Chinese (Simplified)_China.936

attached base packages: [1] stats graphics grDevices utils datasets methods base

other attached packages: [1] nnet_7.3-11 caret_6.0-60 ggplot2_1.0.1 lattice_0.20-33

loaded via a namespace (and not attached): [1] Rcpp_0.12.1 compiler_3.2.2 nloptr_1.0.4 [4] plyr_1.8.3 iterators_1.0.8 class_7.3-14 [7] tools_3.2.2 digest_0.6.8 lme4_1.1-10 [10] memoise_0.2.1 nlme_3.1-122 gtable_0.1.2 [13] mgcv_1.8-8 Matrix_1.2-2 foreach_1.4.3 [16] curl_0.9.3 parallel_3.2.2 brglm_0.5-9 [19] SparseM_1.7 proto_0.3-10 e1071_1.6-7 [22] BradleyTerry2_1.0-5 httr_1.0.0 stringr_1.0.0 [25] gtools_3.5.0 pROC_1.8 MatrixModels_0.4-1 [28] devtools_1.9.1 stats4_3.2.2 grid_3.2.2 [31] R6_2.1.1 minqa_1.2.4 reshape2_1.4.1 [34] car_2.1-0 magrittr_1.5 scales_0.3.0 [37] codetools_0.2-14 MASS_7.3-44 splines_3.2.2 [40] pbkrtest_0.4-2 colorspace_1.2-6 quantreg_5.19 [43] stringi_1.0-1 munsell_0.4.2

warnings() Warning messages: 1: In adaptiveWorkflow(x = x, y = y, wts = weights, info = trainInfo, ... : There were missing values in resampled performance measures. 2: In eval(expr, envir, enclos) : non-integer counts in a binomial glm! 3: In eval(expr, envir, enclos) : non-integer counts in a binomial glm! 4: In eval(expr, envir, enclos) : non-integer counts in a binomial glm! 5: In eval(expr, envir, enclos) : non-integer counts in a binomial glm! 6: In eval(expr, envir, enclos) : non-integer counts in a binomial glm! 7: In eval(expr, envir, enclos) : non-integer counts in a binomial glm! 8: In eval(expr, envir, enclos) : non-integer counts in a binomial glm! 9: In eval(expr, envir, enclos) : non-integer counts in a binomial glm! 10: In eval(expr, envir, enclos) : non-integer counts in a binomial glm! 11: In eval(expr, envir, enclos) : non-integer counts in a binomial glm! 12: In eval(expr, envir, enclos) : non-integer counts in a binomial glm! 13: In eval(expr, envir, enclos) : non-integer counts in a binomial glm! 14: In eval(expr, envir, enclos) : non-integer counts in a binomial glm! 15: In eval(expr, envir, enclos) : non-integer counts in a binomial glm! 16: In eval(expr, envir, enclos) : non-integer counts in a binomial glm! 17: In eval(expr, envir, enclos) : non-integer counts in a binomial glm! 18: In eval(expr, envir, enclos) : non-integer counts in a binomial glm! 19: In eval(expr, envir, enclos) : non-integer counts in a binomial glm! 20: In eval(expr, envir, enclos) : non-integer counts in a binomial glm! 21: In eval(expr, envir, enclos) : non-integer counts in a binomial glm! 22: In eval(expr, envir, enclos) : non-integer counts in a binomial glm! 23: In eval(expr, envir, enclos) : non-integer counts in a binomial glm! 24: In eval(expr, envir, enclos) : non-integer counts in a binomial glm! 25: In eval(expr, envir, enclos) : non-integer counts in a binomial glm! 26: In eval(expr, envir, enclos) : non-integer counts in a binomial glm! 27: In eval(expr, envir, enclos) : non-integer counts in a binomial glm! 28: In eval(expr, envir, enclos) : non-integer counts in a binomial glm! 29: In eval(expr, envir, enclos) : non-integer counts in a binomial glm! 30: In eval(expr, envir, enclos) : non-integer counts in a binomial glm! 31: In eval(expr, envir, enclos) : non-integer counts in a binomial glm! 32: In eval(expr, envir, enclos) : non-integer counts in a binomial glm! 33: In eval(expr, envir, enclos) : non-integer counts in a binomial glm! 34: In eval(expr, envir, enclos) : non-integer counts in a binomial glm! 35: In eval(expr, envir, enclos) : non-integer counts in a binomial glm! 36: In eval(expr, envir, enclos) : non-integer counts in a binomial glm! 37: In eval(expr, envir, enclos) : non-integer counts in a binomial glm! 38: In eval(expr, envir, enclos) : non-integer counts in a binomial glm! 39: In eval(expr, envir, enclos) : non-integer counts in a binomial glm! 40: In eval(expr, envir, enclos) : non-integer counts in a binomial glm! 41: In adaptiveWorkflow(x = x, y = y, wts = weights, info = trainInfo, ... : There were missing values in resampled performance measures.

The warnings are not a problem. They only occur since you have parameter values with the same accuracy results.

On Tue, Nov 10, 2015 at 8:31 PM, elephann notifications@github.com wrote:

Hi, Max, With BradleyTerry2 version 1.0-5 and gihub caret package, running sequentially, the test got results without break. But the warnings Still shows. This tests ran on my Windows10, I will run it on MAC later because it busy for now the following is the results(code as the same above, omitted)

Loading required package: nnet

Fold01.Rep1: size= 1, decay=0.0000000, bag=FALSE Fold01.Rep1: size= 1, decay=0.0000000, bag=FALSE Fold01.Rep1: size= 3, decay=0.0000000, bag=FALSE Fold01.Rep1: size= 3, decay=0.0000000, bag=FALSE Fold01.Rep1: size= 5, decay=0.0000000, bag=FALSE Fold01.Rep1: size= 5, decay=0.0000000, bag=FALSE Fold01.Rep1: size= 7, decay=0.0000000, bag=FALSE Fold01.Rep1: size= 7, decay=0.0000000, bag=FALSE Fold01.Rep1: size= 9, decay=0.0000000, bag=FALSE Fold01.Rep1: size= 9, decay=0.0000000, bag=FALSE Fold01.Rep1: size=11, decay=0.0000000, bag=FALSE Fold01.Rep1: size=11, decay=0.0000000, bag=FALSE Fold01.Rep1: size=13, decay=0.0000000, bag=FALSE Fold01.Rep1: size=13, decay=0.0000000, bag=FALSE Fold01.Rep1: size=15, decay=0.0000000, bag=FALSE Fold01.Rep1: size=15, decay=0.0000000, bag=FALSE Fold01.Rep1: size=17, decay=0.0000000, bag=FALSE Fold01.Rep1: size=17, decay=0.0000000, bag=FALSE Fold01.Rep1: size=19, decay=0.0000000, bag=FALSE Fold01.Rep1: size=19, decay=0.0000000, bag=FALSE Fold01.Rep1: size= 1, decay=0.1000000, bag=FALSE Fold01.Rep1: size= 1, decay=0.1000000, bag=FALSE Fold01.Rep1: size= 3, decay=0.1000000, bag=FALSE Fold01.Rep1: size= 3, decay=0.1000000, bag=FALSE Fold01.Rep1: size= 5, decay=0.1000000, bag=FALSE Fold01.Rep1: size= 5, decay=0.1000000, bag=FALSE Fold01.Rep1: size= 7, decay=0.1000000, bag=FALSE Fold01.Rep1: size= 7, decay=0.1000000, bag=FALSE Fold01.Rep1: size= 9, decay=0.1000000, bag=FALSE Fold01.Rep1: size= 9, decay=0.1000000, bag=FALSE Fold01.Rep1: size=11, decay=0.1000000, bag=FALSE Fold01.Rep1: size=11, decay=0.1000000, bag=FALSE Fold01.Rep1: size=13, decay=0.1000000, bag=FALSE Fold01.Rep1: size=13, decay=0.1000000, bag=FALSE Fold01.Rep1: size=15, decay=0.1000000, bag=FALSE Fold01.Rep1: size=15, decay=0.1000000, bag=FALSE Fold01.Rep1: size=17, decay=0.1000000, bag=FALSE Fold01.Rep1: size=17, decay=0.1000000, bag=FALSE Fold01.Rep1: size=19, decay=0.1000000, bag=FALSE Fold01.Rep1: size=19, decay=0.1000000, bag=FALSE Fold01.Rep1: size= 1, decay=0.0421697, bag=FALSE Fold01.Rep1: size= 1, decay=0.0421697, bag=FALSE Fold01.Rep1: size= 3, decay=0.0421697, bag=FALSE Fold01.Rep1: size= 3, decay=0.0421697, bag=FALSE Fold01.Rep1: size= 5, decay=0.0421697, bag=FALSE Fold01.Rep1: size= 5, decay=0.0421697, bag=FALSE Fold01.Rep1: size= 7, decay=0.0421697, bag=FALSE Fold01.Rep1: size= 7, decay=0.0421697, bag=FALSE Fold01.Rep1: size= 9, decay=0.0421697, bag=FALSE Fold01.Rep1: size= 9, decay=0.0421697, bag=FALSE Fold01.Rep1: size=11, decay=0.0421697, bag=FALSE Fold01.Rep1: size=11, decay=0.0421697, bag=FALSE Fold01.Rep1: size=13, decay=0.0421697, bag=FALSE Fold01.Rep1: size=13, decay=0.0421697, bag=FALSE Fold01.Rep1: size=15, decay=0.0421697, bag=FALSE Fold01.Rep1: size=15, decay=0.0421697, bag=FALSE Fold01.Rep1: size=17, decay=0.0421697, bag=FALSE Fold01.Rep1: size=17, decay=0.0421697, bag=FALSE Fold01.Rep1: size=19, decay=0.0421697, bag=FALSE Fold01.Rep1: size=19, decay=0.0421697, bag=FALSE Fold01.Rep1: size= 1, decay=0.0177828, bag=FALSE Fold01.Rep1: size= 1, decay=0.0177828, bag=FALSE Fold01.Rep1: size= 3, decay=0.0177828, bag=FALSE Fold01.Rep1: size= 3, decay=0.0177828, bag=FALSE Fold01.Rep1: size= 5, decay=0.0177828, bag=FALSE Fold01.Rep1: size= 5, decay=0.0177828, bag=FALSE Fold01.Rep1: size= 7, decay=0.0177828, bag=FALSE Fold01.Rep1: size= 7, decay=0.0177828, bag=FALSE Fold01.Rep1: size= 9, decay=0.0177828, bag=FALSE Fold01.Rep1: size= 9, decay=0.0177828, bag=FALSE Fold01.Rep1: size=11, decay=0.0177828, bag=FALSE Fold01.Rep1: size=11, decay=0.0177828, bag=FALSE Fold01.Rep1: size=13, decay=0.0177828, bag=FALSE Fold01.Rep1: size=13, decay=0.0177828, bag=FALSE Fold01.Rep1: size=15, decay=0.0177828, bag=FALSE Fold01.Rep1: size=15, decay=0.0177828, bag=FALSE Fold01.Rep1: size=17, decay=0.0177828, bag=FALSE Fold01.Rep1: size=17, decay=0.0177828, bag=FALSE Fold01.Rep1: size=19, decay=0.0177828, bag=FALSE Fold01.Rep1: size=19, decay=0.0177828, bag=FALSE Fold01.Rep1: size= 1, decay=0.0074989, bag=FALSE Fold01.Rep1: size= 1, decay=0.0074989, bag=FALSE Fold01.Rep1: size= 3, decay=0.0074989, bag=FALSE Fold01.Rep1: size= 3, decay=0.0074989, bag=FALSE Fold01.Rep1: size= 5, decay=0.0074989, bag=FALSE Fold01.Rep1: size= 5, decay=0.0074989, bag=FALSE Fold01.Rep1: size= 7, decay=0.0074989, bag=FALSE Fold01.Rep1: size= 7, decay=0.0074989, bag=FALSE Fold01.Rep1: size= 9, decay=0.0074989, bag=FALSE Fold01.Rep1: size= 9, decay=0.0074989, bag=FALSE Fold01.Rep1: size=11, decay=0.0074989, bag=FALSE Fold01.Rep1: size=11, decay=0.0074989, bag=FALSE Fold01.Rep1: size=13, decay=0.0074989, bag=FALSE Fold01.Rep1: size=13, decay=0.0074989, bag=FALSE Fold01.Rep1: size=15, decay=0.0074989, bag=FALSE Fold01.Rep1: size=15, decay=0.0074989, bag=FALSE Fold01.Rep1: size=17, decay=0.0074989, bag=FALSE Fold01.Rep1: size=17, decay=0.0074989, bag=FALSE Fold01.Rep1: size=19, decay=0.0074989, bag=FALSE Fold01.Rep1: size=19, decay=0.0074989, bag=FALSE Fold01.Rep1: size= 1, decay=0.0031623, bag=FALSE Fold01.Rep1: size= 1, decay=0.0031623, bag=FALSE Fold01.Rep1: size= 3, decay=0.0031623, bag=FALSE Fold01.Rep1: size= 3, decay=0.0031623, bag=FALSE Fold01.Rep1: size= 5, decay=0.0031623, bag=FALSE Fold01.Rep1: size= 5, decay=0.0031623, bag=FALSE Fold01.Rep1: size= 7, decay=0.0031623, bag=FALSE Fold01.Rep1: size= 7, decay=0.0031623, bag=FALSE Fold01.Rep1: size= 9, decay=0.0031623, bag=FALSE Fold01.Rep1: size= 9, decay=0.0031623, bag=FALSE Fold01.Rep1: size=11, decay=0.0031623, bag=FALSE Fold01.Rep1: size=11, decay=0.0031623, bag=FALSE Fold01.Rep1: size=13, decay=0.0031623, bag=FALSE Fold01.Rep1: size=13, decay=0.0031623, bag=FALSE Fold01.Rep1: size=15, decay=0.0031623, bag=FALSE Fold01.Rep1: size=15, decay=0.0031623, bag=FALSE Fold01.Rep1: size=17, decay=0.0031623, bag=FALSE Fold01.Rep1: size=17, decay=0.0031623, bag=FALSE Fold01.Rep1: size=19, decay=0.0031623, bag=FALSE Fold01.Rep1: size=19, decay=0.0031623, bag=FALSE Fold01.Rep1: size= 1, decay=0.0013335, bag=FALSE Fold01.Rep1: size= 1, decay=0.0013335, bag=FALSE Fold01.Rep1: size= 3, decay=0.0013335, bag=FALSE Fold01.Rep1: size= 3, decay=0.0013335, bag=FALSE Fold01.Rep1: size= 5, decay=0.0013335, bag=FALSE Fold01.Rep1: size= 5, decay=0.0013335, bag=FALSE Fold01.Rep1: size= 7, decay=0.0013335, bag=FALSE Fold01.Rep1: size= 7, decay=0.0013335, bag=FALSE Fold01.Rep1: size= 9, decay=0.0013335, bag=FALSE Fold01.Rep1: size= 9, decay=0.0013335, bag=FALSE Fold01.Rep1: size=11, decay=0.0013335, bag=FALSE Fold01.Rep1: size=11, decay=0.0013335, bag=FALSE Fold01.Rep1: size=13, decay=0.0013335, bag=FALSE Fold01.Rep1: size=13, decay=0.0013335, bag=FALSE Fold01.Rep1: size=15, decay=0.0013335, bag=FALSE Fold01.Rep1: size=15, decay=0.0013335, bag=FALSE Fold01.Rep1: size=17, decay=0.0013335, bag=FALSE Fold01.Rep1: size=17, decay=0.0013335, bag=FALSE Fold01.Rep1: size=19, decay=0.0013335, bag=FALSE Fold01.Rep1: size=19, decay=0.0013335, bag=FALSE Fold01.Rep1: size= 1, decay=0.0005623, bag=FALSE Fold01.Rep1: size= 1, decay=0.0005623, bag=FALSE Fold01.Rep1: size= 3, decay=0.0005623, bag=FALSE Fold01.Rep1: size= 3, decay=0.0005623, bag=FALSE Fold01.Rep1: size= 5, decay=0.0005623, bag=FALSE Fold01.Rep1: size= 5, decay=0.0005623, bag=FALSE Fold01.Rep1: size= 7, decay=0.0005623, bag=FALSE Fold01.Rep1: size= 7, decay=0.0005623, bag=FALSE Fold01.Rep1: size= 9, decay=0.0005623, bag=FALSE Fold01.Rep1: size= 9, decay=0.0005623, bag=FALSE Fold01.Rep1: size=11, decay=0.0005623, bag=FALSE Fold01.Rep1: size=11, decay=0.0005623, bag=FALSE Fold01.Rep1: size=13, decay=0.0005623, bag=FALSE Fold01.Rep1: size=13, decay=0.0005623, bag=FALSE Fold01.Rep1: size=15, decay=0.0005623, bag=FALSE Fold01.Rep1: size=15, decay=0.0005623, bag=FALSE Fold01.Rep1: size=17, decay=0.0005623, bag=FALSE Fold01.Rep1: size=17, decay=0.0005623, bag=FALSE Fold01.Rep1: size=19, decay=0.0005623, bag=FALSE Fold01.Rep1: size=19, decay=0.0005623, bag=FALSE Fold01.Rep1: size= 1, decay=0.0002371, bag=FALSE Fold01.Rep1: size= 1, decay=0.0002371, bag=FALSE Fold01.Rep1: size= 3, decay=0.0002371, bag=FALSE Fold01.Rep1: size= 3, decay=0.0002371, bag=FALSE Fold01.Rep1: size= 5, decay=0.0002371, bag=FALSE Fold01.Rep1: size= 5, decay=0.0002371, bag=FALSE Fold01.Rep1: size= 7, decay=0.0002371, bag=FALSE Fold01.Rep1: size= 7, decay=0.0002371, bag=FALSE Fold01.Rep1: size= 9, decay=0.0002371, bag=FALSE Fold01.Rep1: size= 9, decay=0.0002371, bag=FALSE Fold01.Rep1: size=11, decay=0.0002371, bag=FALSE Fold01.Rep1: size=11, decay=0.0002371, bag=FALSE Fold01.Rep1: size=13, decay=0.0002371, bag=FALSE Fold01.Rep1: size=13, decay=0.0002371, bag=FALSE Fold01.Rep1: size=15, decay=0.0002371, bag=FALSE Fold01.Rep1: size=15, decay=0.0002371, bag=FALSE Fold01.Rep1: size=17, decay=0.0002371, bag=FALSE Fold01.Rep1: size=17, decay=0.0002371, bag=FALSE Fold01.Rep1: size=19, decay=0.0002371, bag=FALSE Fold01.Rep1: size=19, decay=0.0002371, bag=FALSE Fold01.Rep1: size= 1, decay=0.0001000, bag=FALSE Fold01.Rep1: size= 1, decay=0.0001000, bag=FALSE Fold01.Rep1: size= 3, decay=0.0001000, bag=FALSE 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bag=FALSE Fold05.Rep1: size=13, decay=0.1000000, bag=FALSE Fold05.Rep1: size=15, decay=0.1000000, bag=FALSE Fold05.Rep1: size=15, decay=0.1000000, bag=FALSE Fold05.Rep1: size=17, decay=0.1000000, bag=FALSE Fold05.Rep1: size=17, decay=0.1000000, bag=FALSE Fold05.Rep1: size=19, decay=0.1000000, bag=FALSE Fold05.Rep1: size=19, decay=0.1000000, bag=FALSE Fold05.Rep1: size= 1, decay=0.0421697, bag=FALSE Fold05.Rep1: size= 1, decay=0.0421697, bag=FALSE Fold05.Rep1: size= 3, decay=0.0421697, bag=FALSE Fold05.Rep1: size= 3, decay=0.0421697, bag=FALSE Fold05.Rep1: size= 5, decay=0.0421697, bag=FALSE Fold05.Rep1: size= 5, decay=0.0421697, bag=FALSE Fold05.Rep1: size= 7, decay=0.0421697, bag=FALSE Fold05.Rep1: size= 7, decay=0.0421697, bag=FALSE Fold05.Rep1: size= 9, decay=0.0421697, bag=FALSE Fold05.Rep1: size= 9, decay=0.0421697, bag=FALSE Fold05.Rep1: size=11, decay=0.0421697, bag=FALSE Fold05.Rep1: size=11, decay=0.0421697, bag=FALSE Fold05.Rep1: size=13, decay=0.0421697, bag=FALSE Fold05.Rep1: size=13, decay=0.0421697, bag=FALSE Fold05.Rep1: size=15, decay=0.0421697, bag=FALSE Fold05.Rep1: size=15, decay=0.0421697, bag=FALSE Fold05.Rep1: size=17, decay=0.0421697, bag=FALSE Fold05.Rep1: size=17, decay=0.0421697, bag=FALSE Fold05.Rep1: size=19, decay=0.0421697, bag=FALSE Fold05.Rep1: size=19, decay=0.0421697, bag=FALSE Fold05.Rep1: size= 1, decay=0.0177828, bag=FALSE Fold05.Rep1: size= 1, decay=0.0177828, bag=FALSE Fold05.Rep1: size= 3, decay=0.0177828, bag=FALSE Fold05.Rep1: size= 3, decay=0.0177828, bag=FALSE Fold05.Rep1: size= 5, decay=0.0177828, bag=FALSE Fold05.Rep1: size= 5, decay=0.0177828, bag=FALSE Fold05.Rep1: size= 7, decay=0.0177828, bag=FALSE Fold05.Rep1: size= 7, decay=0.0177828, bag=FALSE Fold05.Rep1: size= 9, decay=0.0177828, bag=FALSE Fold05.Rep1: size= 9, decay=0.0177828, bag=FALSE Fold05.Rep1: size=11, decay=0.0177828, bag=FALSE Fold05.Rep1: size=11, decay=0.0177828, bag=FALSE Fold05.Rep1: size=13, decay=0.0177828, bag=FALSE Fold05.Rep1: size=13, decay=0.0177828, bag=FALSE Fold05.Rep1: size=15, decay=0.0177828, bag=FALSE Fold05.Rep1: size=15, decay=0.0177828, bag=FALSE Fold05.Rep1: size=17, decay=0.0177828, bag=FALSE Fold05.Rep1: size=17, decay=0.0177828, bag=FALSE Fold05.Rep1: size=19, decay=0.0177828, bag=FALSE Fold05.Rep1: size=19, decay=0.0177828, bag=FALSE Fold05.Rep1: size= 1, decay=0.0074989, bag=FALSE Fold05.Rep1: size= 1, decay=0.0074989, bag=FALSE Fold05.Rep1: size= 3, decay=0.0074989, bag=FALSE Fold05.Rep1: size= 3, decay=0.0074989, bag=FALSE Fold05.Rep1: size= 5, decay=0.0074989, bag=FALSE Fold05.Rep1: size= 5, decay=0.0074989, bag=FALSE Fold05.Rep1: size= 7, decay=0.0074989, bag=FALSE Fold05.Rep1: size= 7, decay=0.0074989, bag=FALSE Fold05.Rep1: size= 9, decay=0.0074989, bag=FALSE Fold05.Rep1: size= 9, decay=0.0074989, bag=FALSE Fold05.Rep1: size=11, decay=0.0074989, bag=FALSE Fold05.Rep1: size=11, decay=0.0074989, bag=FALSE Fold05.Rep1: size=13, decay=0.0074989, bag=FALSE Fold05.Rep1: size=13, decay=0.0074989, bag=FALSE Fold05.Rep1: size=15, decay=0.0074989, bag=FALSE Fold05.Rep1: size=15, decay=0.0074989, bag=FALSE Fold05.Rep1: size=17, decay=0.0074989, bag=FALSE Fold05.Rep1: size=17, decay=0.0074989, bag=FALSE Fold05.Rep1: size=19, decay=0.0074989, bag=FALSE Fold05.Rep1: size=19, decay=0.0074989, bag=FALSE Fold05.Rep1: size= 1, decay=0.0031623, bag=FALSE Fold05.Rep1: size= 1, decay=0.0031623, bag=FALSE Fold05.Rep1: size= 3, decay=0.0031623, bag=FALSE Fold05.Rep1: size= 3, decay=0.0031623, bag=FALSE Fold05.Rep1: size= 5, decay=0.0031623, bag=FALSE Fold05.Rep1: size= 5, decay=0.0031623, bag=FALSE Fold05.Rep1: size= 7, decay=0.0031623, bag=FALSE Fold05.Rep1: size= 7, decay=0.0031623, bag=FALSE Fold05.Rep1: size= 9, decay=0.0031623, bag=FALSE Fold05.Rep1: size= 9, decay=0.0031623, bag=FALSE Fold05.Rep1: size=11, decay=0.0031623, bag=FALSE Fold05.Rep1: size=11, decay=0.0031623, bag=FALSE Fold05.Rep1: size=13, decay=0.0031623, bag=FALSE Fold05.Rep1: size=13, decay=0.0031623, bag=FALSE Fold05.Rep1: size=15, decay=0.0031623, bag=FALSE Fold05.Rep1: size=15, decay=0.0031623, bag=FALSE Fold05.Rep1: size=17, decay=0.0031623, bag=FALSE Fold05.Rep1: size=17, decay=0.0031623, bag=FALSE Fold05.Rep1: size=19, decay=0.0031623, bag=FALSE Fold05.Rep1: size=19, decay=0.0031623, bag=FALSE Fold05.Rep1: size= 1, decay=0.0013335, bag=FALSE Fold05.Rep1: size= 1, decay=0.0013335, bag=FALSE Fold05.Rep1: size= 3, decay=0.0013335, bag=FALSE Fold05.Rep1: size= 3, decay=0.0013335, bag=FALSE Fold05.Rep1: size= 5, decay=0.0013335, bag=FALSE Fold05.Rep1: size= 5, decay=0.0013335, bag=FALSE Fold05.Rep1: size= 7, decay=0.0013335, bag=FALSE Fold05.Rep1: size= 7, decay=0.0013335, bag=FALSE Fold05.Rep1: size= 9, decay=0.0013335, bag=FALSE Fold05.Rep1: size= 9, decay=0.0013335, bag=FALSE Fold05.Rep1: size=11, decay=0.0013335, bag=FALSE Fold05.Rep1: size=11, decay=0.0013335, bag=FALSE Fold05.Rep1: size=13, decay=0.0013335, bag=FALSE Fold05.Rep1: size=13, decay=0.0013335, bag=FALSE Fold05.Rep1: size=15, decay=0.0013335, bag=FALSE Fold05.Rep1: size=15, decay=0.0013335, bag=FALSE Fold05.Rep1: size=17, decay=0.0013335, bag=FALSE Fold05.Rep1: size=17, decay=0.0013335, bag=FALSE Fold05.Rep1: size=19, decay=0.0013335, bag=FALSE Fold05.Rep1: size=19, decay=0.0013335, bag=FALSE Fold05.Rep1: size= 1, decay=0.0005623, bag=FALSE Fold05.Rep1: size= 1, decay=0.0005623, bag=FALSE Fold05.Rep1: size= 3, decay=0.0005623, bag=FALSE Fold05.Rep1: size= 3, decay=0.0005623, bag=FALSE Fold05.Rep1: size= 5, decay=0.0005623, bag=FALSE Fold05.Rep1: size= 5, decay=0.0005623, bag=FALSE Fold05.Rep1: size= 7, decay=0.0005623, bag=FALSE Fold05.Rep1: size= 7, decay=0.0005623, bag=FALSE Fold05.Rep1: size= 9, decay=0.0005623, bag=FALSE Fold05.Rep1: size= 9, decay=0.0005623, bag=FALSE Fold05.Rep1: size=11, decay=0.0005623, bag=FALSE Fold05.Rep1: size=11, decay=0.0005623, bag=FALSE Fold05.Rep1: size=13, decay=0.0005623, bag=FALSE Fold05.Rep1: size=13, decay=0.0005623, bag=FALSE Fold05.Rep1: size=15, decay=0.0005623, bag=FALSE Fold05.Rep1: size=15, decay=0.0005623, bag=FALSE Fold05.Rep1: size=17, decay=0.0005623, bag=FALSE Fold05.Rep1: size=17, decay=0.0005623, bag=FALSE Fold05.Rep1: size=19, decay=0.0005623, bag=FALSE Fold05.Rep1: size=19, decay=0.0005623, bag=FALSE Fold05.Rep1: size= 1, decay=0.0002371, bag=FALSE Fold05.Rep1: size= 1, decay=0.0002371, bag=FALSE Fold05.Rep1: size= 3, decay=0.0002371, bag=FALSE Fold05.Rep1: size= 3, decay=0.0002371, bag=FALSE Fold05.Rep1: size= 5, decay=0.0002371, bag=FALSE Fold05.Rep1: size= 5, decay=0.0002371, bag=FALSE Fold05.Rep1: size= 7, decay=0.0002371, bag=FALSE Fold05.Rep1: size= 7, decay=0.0002371, bag=FALSE Fold05.Rep1: size= 9, decay=0.0002371, bag=FALSE Fold05.Rep1: size= 9, decay=0.0002371, bag=FALSE Fold05.Rep1: size=11, decay=0.0002371, bag=FALSE Fold05.Rep1: size=11, decay=0.0002371, bag=FALSE Fold05.Rep1: size=13, decay=0.0002371, bag=FALSE Fold05.Rep1: size=13, decay=0.0002371, bag=FALSE Fold05.Rep1: size=15, decay=0.0002371, bag=FALSE Fold05.Rep1: size=15, decay=0.0002371, bag=FALSE Fold05.Rep1: size=17, decay=0.0002371, bag=FALSE Fold05.Rep1: size=17, decay=0.0002371, bag=FALSE Fold05.Rep1: size=19, decay=0.0002371, bag=FALSE Fold05.Rep1: size=19, decay=0.0002371, bag=FALSE Fold05.Rep1: size= 1, decay=0.0001000, bag=FALSE Fold05.Rep1: size= 1, decay=0.0001000, bag=FALSE Fold05.Rep1: size= 3, decay=0.0001000, bag=FALSE Fold05.Rep1: size= 3, decay=0.0001000, bag=FALSE Fold05.Rep1: size= 5, decay=0.0001000, bag=FALSE Fold05.Rep1: size= 5, decay=0.0001000, bag=FALSE Fold05.Rep1: size= 7, decay=0.0001000, bag=FALSE Fold05.Rep1: size= 7, decay=0.0001000, bag=FALSE Fold05.Rep1: size= 9, decay=0.0001000, bag=FALSE Fold05.Rep1: size= 9, decay=0.0001000, bag=FALSE Fold05.Rep1: size=11, decay=0.0001000, bag=FALSE Fold05.Rep1: size=11, decay=0.0001000, bag=FALSE Fold05.Rep1: size=13, decay=0.0001000, bag=FALSE Fold05.Rep1: size=13, decay=0.0001000, bag=FALSE Fold05.Rep1: size=15, decay=0.0001000, bag=FALSE Fold05.Rep1: size=15, decay=0.0001000, bag=FALSE Fold05.Rep1: size=17, decay=0.0001000, bag=FALSE Fold05.Rep1: size=17, decay=0.0001000, bag=FALSE Fold05.Rep1: size=19, decay=0.0001000, bag=FALSE Fold05.Rep1: size=19, decay=0.0001000, bag=FALSE o 29 models of 100 were eliminated due to linear dependencies Loading required namespace: BradleyTerry2 o 60 eliminated;11 remain Fold06.Rep1: size= 1, decay=0.000000, bag=FALSE Fold06.Rep1: size= 1, decay=0.000000, bag=FALSE Fold06.Rep1: size= 3, decay=0.000000, bag=FALSE Fold06.Rep1: size= 3, decay=0.000000, bag=FALSE Fold06.Rep1: size= 5, decay=0.000000, bag=FALSE Fold06.Rep1: size= 5, decay=0.000000, bag=FALSE Fold06.Rep1: size= 7, decay=0.000000, bag=FALSE Fold06.Rep1: size= 7, decay=0.000000, bag=FALSE Fold06.Rep1: size= 9, decay=0.000000, bag=FALSE Fold06.Rep1: size= 9, decay=0.000000, bag=FALSE Fold06.Rep1: size=11, decay=0.000000, bag=FALSE Fold06.Rep1: size=11, decay=0.000000, bag=FALSE Fold06.Rep1: size=13, decay=0.000000, bag=FALSE Fold06.Rep1: size=13, decay=0.000000, bag=FALSE Fold06.Rep1: size=15, decay=0.007499, bag=FALSE Fold06.Rep1: size=15, decay=0.007499, bag=FALSE Fold06.Rep1: size=17, decay=0.007499, bag=FALSE Fold06.Rep1: size=17, decay=0.007499, bag=FALSE Fold06.Rep1: size= 9, decay=0.003162, bag=FALSE Fold06.Rep1: size= 9, decay=0.003162, bag=FALSE Fold06.Rep1: size=15, decay=0.003162, bag=FALSE Fold06.Rep1: size=15, decay=0.003162, bag=FALSE o no models eliminated; 11 remain Fold07.Rep1: size= 1, decay=0.000000, bag=FALSE Fold07.Rep1: size= 1, decay=0.000000, bag=FALSE Fold07.Rep1: size=11, decay=0.000000, bag=FALSE Fold07.Rep1: size=11, decay=0.000000, bag=FALSE Fold07.Rep1: size=13, decay=0.000000, bag=FALSE Fold07.Rep1: size=13, decay=0.000000, bag=FALSE Fold07.Rep1: size=15, decay=0.003162, bag=FALSE Fold07.Rep1: size=15, decay=0.003162, bag=FALSE Fold07.Rep1: size=15, decay=0.007499, bag=FALSE Fold07.Rep1: size=15, decay=0.007499, bag=FALSE Fold07.Rep1: size=17, decay=0.007499, bag=FALSE Fold07.Rep1: size=17, decay=0.007499, bag=FALSE Fold07.Rep1: size= 3, decay=0.000000, bag=FALSE Fold07.Rep1: size= 3, decay=0.000000, bag=FALSE Fold07.Rep1: size= 5, decay=0.000000, bag=FALSE Fold07.Rep1: size= 5, decay=0.000000, bag=FALSE Fold07.Rep1: size= 7, decay=0.000000, bag=FALSE Fold07.Rep1: size= 7, decay=0.000000, bag=FALSE Fold07.Rep1: size= 9, decay=0.000000, bag=FALSE Fold07.Rep1: size= 9, decay=0.000000, bag=FALSE Fold07.Rep1: size= 9, decay=0.003162, bag=FALSE Fold07.Rep1: size= 9, decay=0.003162, bag=FALSE o no models eliminated; 11 remain Fold08.Rep1: size= 1, decay=0.000000, bag=FALSE Fold08.Rep1: size= 1, decay=0.000000, bag=FALSE Fold08.Rep1: size=11, decay=0.000000, bag=FALSE Fold08.Rep1: size=11, decay=0.000000, bag=FALSE Fold08.Rep1: size=13, decay=0.000000, bag=FALSE Fold08.Rep1: size=13, decay=0.000000, bag=FALSE Fold08.Rep1: size=15, decay=0.003162, bag=FALSE Fold08.Rep1: size=15, decay=0.003162, bag=FALSE Fold08.Rep1: size=15, decay=0.007499, bag=FALSE Fold08.Rep1: size=15, decay=0.007499, bag=FALSE Fold08.Rep1: size=17, decay=0.007499, bag=FALSE Fold08.Rep1: size=17, decay=0.007499, bag=FALSE Fold08.Rep1: size= 3, decay=0.000000, bag=FALSE Fold08.Rep1: size= 3, decay=0.000000, bag=FALSE Fold08.Rep1: size= 5, decay=0.000000, bag=FALSE Fold08.Rep1: size= 5, decay=0.000000, bag=FALSE Fold08.Rep1: size= 7, decay=0.000000, bag=FALSE Fold08.Rep1: size= 7, decay=0.000000, bag=FALSE Fold08.Rep1: size= 9, decay=0.000000, bag=FALSE Fold08.Rep1: size= 9, decay=0.000000, bag=FALSE Fold08.Rep1: size= 9, decay=0.003162, bag=FALSE Fold08.Rep1: size= 9, decay=0.003162, bag=FALSE o no models eliminated; 11 remain Fold09.Rep1: size= 1, decay=0.000000, bag=FALSE Fold09.Rep1: size= 1, decay=0.000000, bag=FALSE Fold09.Rep1: size=11, decay=0.000000, bag=FALSE Fold09.Rep1: size=11, decay=0.000000, bag=FALSE Fold09.Rep1: size=13, decay=0.000000, bag=FALSE Fold09.Rep1: size=13, decay=0.000000, bag=FALSE Fold09.Rep1: size=15, decay=0.003162, bag=FALSE Fold09.Rep1: size=15, decay=0.003162, bag=FALSE Fold09.Rep1: size=15, decay=0.007499, bag=FALSE Fold09.Rep1: size=15, decay=0.007499, bag=FALSE Fold09.Rep1: size=17, decay=0.007499, bag=FALSE Fold09.Rep1: size=17, decay=0.007499, bag=FALSE Fold09.Rep1: size= 3, decay=0.000000, bag=FALSE Fold09.Rep1: size= 3, decay=0.000000, bag=FALSE Fold09.Rep1: size= 5, decay=0.000000, bag=FALSE Fold09.Rep1: size= 5, decay=0.000000, bag=FALSE Fold09.Rep1: size= 7, decay=0.000000, bag=FALSE Fold09.Rep1: size= 7, decay=0.000000, bag=FALSE Fold09.Rep1: size= 9, decay=0.000000, bag=FALSE Fold09.Rep1: size= 9, decay=0.000000, bag=FALSE Fold09.Rep1: size= 9, decay=0.003162, bag=FALSE Fold09.Rep1: size= 9, decay=0.003162, bag=FALSE o no models eliminated; 11 remain Fold10.Rep1: size= 1, decay=0.000000, bag=FALSE Fold10.Rep1: size= 1, decay=0.000000, bag=FALSE Fold10.Rep1: size=11, decay=0.000000, bag=FALSE Fold10.Rep1: size=11, decay=0.000000, bag=FALSE Fold10.Rep1: size=13, decay=0.000000, bag=FALSE Fold10.Rep1: size=13, decay=0.000000, bag=FALSE Fold10.Rep1: size=15, decay=0.003162, bag=FALSE Fold10.Rep1: size=15, decay=0.003162, bag=FALSE Fold10.Rep1: size=15, decay=0.007499, bag=FALSE Fold10.Rep1: size=15, decay=0.007499, bag=FALSE Fold10.Rep1: size=17, decay=0.007499, bag=FALSE Fold10.Rep1: size=17, decay=0.007499, bag=FALSE Fold10.Rep1: size= 3, decay=0.000000, bag=FALSE Fold10.Rep1: size= 3, decay=0.000000, bag=FALSE Fold10.Rep1: size= 5, decay=0.000000, bag=FALSE Fold10.Rep1: size= 5, decay=0.000000, bag=FALSE Fold10.Rep1: size= 7, decay=0.000000, bag=FALSE Fold10.Rep1: size= 7, decay=0.000000, bag=FALSE Fold10.Rep1: size= 9, decay=0.000000, bag=FALSE Fold10.Rep1: size= 9, decay=0.000000, bag=FALSE Fold10.Rep1: size= 9, decay=0.003162, bag=FALSE Fold10.Rep1: size= 9, decay=0.003162, bag=FALSE o no models eliminated; 11 remain Fold01.Rep2: size= 1, decay=0.000000, bag=FALSE Fold01.Rep2: size= 1, decay=0.000000, bag=FALSE Fold01.Rep2: size=11, decay=0.000000, bag=FALSE Fold01.Rep2: size=11, decay=0.000000, bag=FALSE Fold01.Rep2: size=13, decay=0.000000, bag=FALSE Fold01.Rep2: size=13, decay=0.000000, bag=FALSE Fold01.Rep2: size=15, decay=0.003162, bag=FALSE Fold01.Rep2: size=15, decay=0.003162, bag=FALSE Fold01.Rep2: size=15, decay=0.007499, bag=FALSE Fold01.Rep2: size=15, decay=0.007499, bag=FALSE Fold01.Rep2: size=17, decay=0.007499, bag=FALSE Fold01.Rep2: size=17, decay=0.007499, bag=FALSE Fold01.Rep2: size= 3, decay=0.000000, bag=FALSE Fold01.Rep2: size= 3, decay=0.000000, bag=FALSE Fold01.Rep2: size= 5, decay=0.000000, bag=FALSE Fold01.Rep2: size= 5, decay=0.000000, bag=FALSE Fold01.Rep2: size= 7, decay=0.000000, bag=FALSE Fold01.Rep2: size= 7, decay=0.000000, bag=FALSE Fold01.Rep2: size= 9, decay=0.000000, bag=FALSE Fold01.Rep2: size= 9, decay=0.000000, bag=FALSE Fold01.Rep2: size= 9, decay=0.003162, bag=FALSE Fold01.Rep2: size= 9, decay=0.003162, bag=FALSE o no models eliminated; 11 remain Fold02.Rep2: size= 1, decay=0.000000, bag=FALSE Fold02.Rep2: size= 1, decay=0.000000, bag=FALSE Fold02.Rep2: size=11, decay=0.000000, bag=FALSE Fold02.Rep2: size=11, decay=0.000000, bag=FALSE Fold02.Rep2: size=13, decay=0.000000, bag=FALSE Fold02.Rep2: size=13, decay=0.000000, bag=FALSE Fold02.Rep2: size=15, decay=0.003162, bag=FALSE Fold02.Rep2: size=15, decay=0.003162, bag=FALSE Fold02.Rep2: size=15, decay=0.007499, bag=FALSE Fold02.Rep2: size=15, decay=0.007499, bag=FALSE Fold02.Rep2: size=17, decay=0.007499, bag=FALSE Fold02.Rep2: size=17, decay=0.007499, bag=FALSE Fold02.Rep2: size= 3, decay=0.000000, bag=FALSE Fold02.Rep2: size= 3, decay=0.000000, bag=FALSE Fold02.Rep2: size= 5, decay=0.000000, bag=FALSE Fold02.Rep2: size= 5, decay=0.000000, bag=FALSE Fold02.Rep2: size= 7, decay=0.000000, bag=FALSE Fold02.Rep2: size= 7, decay=0.000000, bag=FALSE Fold02.Rep2: size= 9, decay=0.000000, bag=FALSE Fold02.Rep2: size= 9, decay=0.000000, bag=FALSE Fold02.Rep2: size= 9, decay=0.003162, bag=FALSE Fold02.Rep2: size= 9, decay=0.003162, bag=FALSE o no models eliminated; 11 remain Fold03.Rep2: size= 1, decay=0.000000, bag=FALSE Fold03.Rep2: size= 1, decay=0.000000, bag=FALSE Fold03.Rep2: size=11, decay=0.000000, bag=FALSE Fold03.Rep2: size=11, decay=0.000000, bag=FALSE Fold03.Rep2: size=13, decay=0.000000, bag=FALSE Fold03.Rep2: size=13, decay=0.000000, bag=FALSE Fold03.Rep2: size=15, decay=0.003162, bag=FALSE Fold03.Rep2: size=15, decay=0.003162, bag=FALSE Fold03.Rep2: size=15, decay=0.007499, bag=FALSE Fold03.Rep2: size=15, decay=0.007499, bag=FALSE Fold03.Rep2: size=17, decay=0.007499, bag=FALSE Fold03.Rep2: size=17, decay=0.007499, bag=FALSE Fold03.Rep2: size= 3, decay=0.000000, bag=FALSE Fold03.Rep2: size= 3, decay=0.000000, bag=FALSE Fold03.Rep2: size= 5, decay=0.000000, bag=FALSE Fold03.Rep2: size= 5, decay=0.000000, bag=FALSE Fold03.Rep2: size= 7, decay=0.000000, bag=FALSE Fold03.Rep2: size= 7, decay=0.000000, bag=FALSE Fold03.Rep2: size= 9, decay=0.000000, bag=FALSE Fold03.Rep2: size= 9, decay=0.000000, bag=FALSE Fold03.Rep2: size= 9, decay=0.003162, bag=FALSE Fold03.Rep2: size= 9, decay=0.003162, bag=FALSE o no models eliminated; 11 remain Fold04.Rep2: size= 1, decay=0.000000, bag=FALSE Fold04.Rep2: size= 1, decay=0.000000, bag=FALSE Fold04.Rep2: size=11, decay=0.000000, bag=FALSE Fold04.Rep2: size=11, decay=0.000000, bag=FALSE Fold04.Rep2: size=13, decay=0.000000, bag=FALSE Fold04.Rep2: size=13, decay=0.000000, bag=FALSE Fold04.Rep2: size=15, decay=0.003162, bag=FALSE Fold04.Rep2: size=15, decay=0.003162, bag=FALSE Fold04.Rep2: size=15, decay=0.007499, bag=FALSE Fold04.Rep2: size=15, decay=0.007499, bag=FALSE Fold04.Rep2: size=17, decay=0.007499, bag=FALSE Fold04.Rep2: size=17, decay=0.007499, bag=FALSE Fold04.Rep2: size= 3, decay=0.000000, bag=FALSE Fold04.Rep2: size= 3, decay=0.000000, bag=FALSE Fold04.Rep2: size= 5, decay=0.000000, bag=FALSE Fold04.Rep2: size= 5, decay=0.000000, bag=FALSE Fold04.Rep2: size= 7, decay=0.000000, bag=FALSE Fold04.Rep2: size= 7, decay=0.000000, bag=FALSE Fold04.Rep2: size= 9, decay=0.000000, bag=FALSE Fold04.Rep2: size= 9, decay=0.000000, bag=FALSE Fold04.Rep2: size= 9, decay=0.003162, bag=FALSE Fold04.Rep2: size= 9, decay=0.003162, bag=FALSE o no models eliminated; 11 remain Fold05.Rep2: size= 1, decay=0.000000, bag=FALSE Fold05.Rep2: size= 1, decay=0.000000, bag=FALSE Fold05.Rep2: size=11, decay=0.000000, bag=FALSE Fold05.Rep2: size=11, decay=0.000000, bag=FALSE Fold05.Rep2: size=13, decay=0.000000, bag=FALSE Fold05.Rep2: size=13, decay=0.000000, bag=FALSE Fold05.Rep2: size=15, decay=0.003162, bag=FALSE Fold05.Rep2: size=15, decay=0.003162, bag=FALSE Fold05.Rep2: size=15, decay=0.007499, bag=FALSE Fold05.Rep2: size=15, decay=0.007499, bag=FALSE Fold05.Rep2: size=17, decay=0.007499, bag=FALSE Fold05.Rep2: size=17, decay=0.007499, bag=FALSE Fold05.Rep2: size= 3, decay=0.000000, bag=FALSE Fold05.Rep2: size= 3, decay=0.000000, bag=FALSE Fold05.Rep2: size= 5, decay=0.000000, bag=FALSE Fold05.Rep2: size= 5, decay=0.000000, bag=FALSE Fold05.Rep2: size= 7, decay=0.000000, bag=FALSE Fold05.Rep2: size= 7, decay=0.000000, bag=FALSE Fold05.Rep2: size= 9, decay=0.000000, bag=FALSE Fold05.Rep2: size= 9, decay=0.000000, bag=FALSE Fold05.Rep2: size= 9, decay=0.003162, bag=FALSE Fold05.Rep2: size= 9, decay=0.003162, bag=FALSE o no models eliminated; 11 remain Fold06.Rep2: size= 1, decay=0.000000, bag=FALSE Fold06.Rep2: size= 1, decay=0.000000, bag=FALSE Fold06.Rep2: size=11, decay=0.000000, bag=FALSE Fold06.Rep2: size=11, decay=0.000000, bag=FALSE Fold06.Rep2: size=13, decay=0.000000, bag=FALSE Fold06.Rep2: size=13, decay=0.000000, bag=FALSE Fold06.Rep2: size=15, decay=0.003162, bag=FALSE Fold06.Rep2: size=15, decay=0.003162, bag=FALSE Fold06.Rep2: size=15, decay=0.007499, bag=FALSE Fold06.Rep2: size=15, decay=0.007499, bag=FALSE Fold06.Rep2: size=17, decay=0.007499, bag=FALSE Fold06.Rep2: size=17, decay=0.007499, bag=FALSE Fold06.Rep2: size= 3, decay=0.000000, bag=FALSE Fold06.Rep2: size= 3, decay=0.000000, bag=FALSE Fold06.Rep2: size= 5, decay=0.000000, bag=FALSE Fold06.Rep2: size= 5, decay=0.000000, bag=FALSE Fold06.Rep2: size= 7, decay=0.000000, bag=FALSE Fold06.Rep2: size= 7, decay=0.000000, bag=FALSE Fold06.Rep2: size= 9, decay=0.000000, bag=FALSE Fold06.Rep2: size= 9, decay=0.000000, bag=FALSE Fold06.Rep2: size= 9, decay=0.003162, bag=FALSE Fold06.Rep2: size= 9, decay=0.003162, bag=FALSE o no models eliminated; 11 remain Fold07.Rep2: size= 1, decay=0.000000, bag=FALSE Fold07.Rep2: size= 1, decay=0.000000, bag=FALSE Fold07.Rep2: size=11, decay=0.000000, bag=FALSE Fold07.Rep2: size=11, decay=0.000000, bag=FALSE Fold07.Rep2: size=13, decay=0.000000, bag=FALSE Fold07.Rep2: size=13, decay=0.000000, bag=FALSE Fold07.Rep2: size=15, decay=0.003162, bag=FALSE Fold07.Rep2: size=15, decay=0.003162, bag=FALSE Fold07.Rep2: size=15, decay=0.007499, bag=FALSE Fold07.Rep2: size=15, decay=0.007499, bag=FALSE Fold07.Rep2: size=17, decay=0.007499, bag=FALSE Fold07.Rep2: size=17, decay=0.007499, bag=FALSE Fold07.Rep2: size= 3, decay=0.000000, bag=FALSE Fold07.Rep2: size= 3, decay=0.000000, bag=FALSE Fold07.Rep2: size= 5, decay=0.000000, bag=FALSE Fold07.Rep2: size= 5, decay=0.000000, bag=FALSE Fold07.Rep2: size= 7, decay=0.000000, bag=FALSE Fold07.Rep2: size= 7, decay=0.000000, bag=FALSE Fold07.Rep2: size= 9, decay=0.000000, bag=FALSE Fold07.Rep2: size= 9, decay=0.000000, bag=FALSE Fold07.Rep2: size= 9, decay=0.003162, bag=FALSE Fold07.Rep2: size= 9, decay=0.003162, bag=FALSE o no models eliminated; 11 remain Fold08.Rep2: size= 1, decay=0.000000, bag=FALSE Fold08.Rep2: size= 1, decay=0.000000, bag=FALSE Fold08.Rep2: size=11, decay=0.000000, bag=FALSE Fold08.Rep2: size=11, decay=0.000000, bag=FALSE Fold08.Rep2: size=13, de

Hi, Max, I have tested on my MAC and got almost the same results! If the warnings, such as In adaptiveWorkflow(x = x, y = y, wts = weights, info = trainInfo, ... : There were missing values in resampled performance measures

not a problem, then I think you can close this issues now. Thanks! Daniel

This should work for both versions now.

topepo / caret

Missing values warning with Adaptive Resampling #310

library(doMC)

registerDoMC(cores = 7)