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Error In Predict.randomforest

How should we look at level? I keep getting the same error when I try to predict my test data: Here's my code so far: extractFeatures <- function(RCdata) { features <- c(4, 9:13, 17:20) fea <- RCdata[, Often R data comes in as factors or character strings instead of numbers, so even though they look like numbers, they aren't. I am trying to use randomForest to > predict present/absent in a second dataset. check over here

Thanks Claire #8 | Posted 19 months ago Permalink Claire Jacquillat Posts 2 Joined 13 Jan '15 | Email User 0 votes GeethaJ wrote: Hi In the error reported above: Error My new Macbook (Sierra with touch bar) restarts every time I close the lid How can I get bash/zsh to change some text from "foo.foo.foo" to "foo foo foo" with a newdata a data frame or matrix containing new data. (Note: If not given, the out-of-bag prediction in object is returned. i.e.

Thanks. Mark 2015-08-26 17:23:25 UTC #2 @adityashrm21, This is happening because of different number of levels in some factor variable in your test and train dataset. Update I: running the prediction on the training data still gives the same error > quant.newdata <- predict(qrf, newdata = xtrain) Error in predict.quantregForest(qrf, newdata = xtrain) : names of predictor

Am I right in understanding that the Test data frame had factors that were not present in the Train data frame. Output tab character on terminal window How can I get bash/zsh to change some text from "foo.foo.foo" to "foo foo foo" with a script/alias? The only solution I've been > able to come up with is bring ALL of the environmental > variables into R, > have randomForest do the prediction, and the get that Why would it be a problem for separate training - test data but not for the a single data set partitioned into training and test? –Gizem Jul 18 '14 at 23:28

This happens because your factor variables in training set and test set have different levels(to be more precise test set doesn't have some of the levels present in training). I don't understand why the error come. My training-shapefile (sw_trainshape.shp) inherits a table with columns FID Shape Class ObjectID x y 1 Point bush 1 481791,2429 5626286,6397 2 ... ... ... ... Join them; it only takes a minute: Sign up Error in predict.randomForest up vote 1 down vote favorite I was hoping someone would be able to help me out with an

If you don't want to use them, you need to remove them from your training data set. I have this issue but it's when I write my submission. Why is the article "the" used in "the events?" Prose Tristan: versions vs parts. (Terminology) Spearman's Correlation shows significance but scatter plot looks random? What's the fastest way to generate a 1 GB file containing only random numbers?

Ran a glm log model. Output is TestRFM TestOutputM= (0.xx*TestLogM + 0.yy*TestRFM) where 0.xx+0.yy=1.0 MySubmission(UniqueID=Test$UniqueID, Probability1=TestOutputM) write.csv(......) You can play with the elements - xx & yy to see what proportion of each model provides the Thanks! A workaround is to replace the value NA of the level before using randomForest: levels(f)[is.na(levels(f))] <- "NA" levels(f) # => "0" "1" "NA" # ....

I wish to try out a technique which my supervisor does not want me to, because its not his expertise Can any D&D god grant a Cleric spells? You can try to use small trick to equalize classes of training and test set. How is there still gas in the atmosphere? EDIT: It seems you have differences between your stack layer names and your [email protected] data frame.

  1. I will add an image with the columns. –steveomb Aug 25 '14 at 8:31 1 It is not enough if the names are found in both, they need to be
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  3. As I understand, you had the "type of predictors matching error".
  4. Then what happens?

To do this, you should be able to type on the command line: [email protected] Then you can split back off: test.new <- fullSet[fullSet$isTest==1,] train.new <- fullSet[fullSet$isTest==0,] and you can drop/NULL out the isTest column from each. Sometimes it is simple like level issues as described above, sometimes it's something totally different. How could I fix that?

class is allowed, but automatically converted to "response", for backward compatibility. Output tab character on terminal window Why are static password requirements used so frequently? At age 25, is it still okay to wear dental braces to work?

My biggest stumbling block is that I can't > (obviously once I realized it) get a single 'best tree' from > randomForests with which to apply my GIS models.

Please, how can solve this problem? more hot questions question feed about us tour help blog chat data legal privacy policy work here advertising info mobile contact us feedback Technology Life / Arts Culture / Recreation Science Join them; it only takes a minute: Sign up r random forest error - type of predictors in new data do not match up vote 7 down vote favorite 5 I more stack exchange communities company blog Stack Exchange Inbox Reputation and Badges sign up log in tour help Tour Start here for a quick overview of the site Help Center Detailed

The names match but do they have to be ordered? Then make sure your names are fine and if then you still run out of memory, you might want to find a bigger computer... If I run single rows they work. What is this jelly like substance on electromagnetic shield of a LTE Modem?

type one of response, prob. Can you share your data? share|improve this answer edited Feb 22 '15 at 15:41 answered Dec 18 '14 at 16:55 bluenote10 4,44831951 I had this issue after i had run a forest for 3 Fired because your skills are too far above your coworkers more hot questions question feed lang-r about us tour help blog chat data legal privacy policy work here advertising info mobile

Can guns be rendered unusable by changing the atmosphere? What's a word/phrase like "compulsion" or "addiction" that is more about guilt than physiology or anxiety? I also included levels(test_var) <- levels(train_var) to make sure that the levels are matching. How do the headmasters of Hogwarts get appointed?

Thanks! #18 | Posted 19 months ago Permalink chumazing Posts 11 | Votes 2 Joined 7 Apr '15 | Email User 3 votes @chumazing Explanation on step 9. on the merged data set. 3.

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