Displaying 5 results from an estimated 5 matches for "chrysanthi".
2009 Apr 12
3
Running random forest using different training and testing schemes
...classification algorithm and check the
accuracy of the prediction according to different training and testing
schemes. For example, extracting 70% of the samples for training and the
rest for testing, or using 10-fold cross validation scheme.
How can I do that? Is there a function?
Thanks a lot,
Chrysanthi.
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2009 Apr 08
2
help with random forest package
...selected for
each node during the construction of each tree? I mean, that I would like to
know the m<<M variables that are selected at each node out of the M input
attributes.. Are they selected randomly? Is there a possibility to select
the same variable in subsequent nodes?
Thanks a lot,
Chrysanthi.
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2009 Jul 08
1
heatmap.2: question regarding the "raw z-score"
...e
(actual value - mean of the group) / standard deviation.
But, mean of which group? Mean of the gene vector? And actual value of that
gene on a sample? I would be grateful if you could give me some more
details about it or even if there is a book/manual that I could address
to..
Thanks a lot,
Chrysanthi.
*
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2009 Sep 28
1
how to visualize gini coefficient in each node in RF?
...randomForest package and I am interested in examining the
"Gini importance" measures that are used as a general indicator of feature
relevance. Is there a possibility of getting the Gini measure that is being
estimated in each tree by the output of the getTree() function?
Thanks a lot,
Chrysanthi
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2009 Jul 09
2
How to Populate List
...e: matching each row (Marc Schwartz)
79. Re: OK - I got the data - now what? :-) (Mark Knecht)
80. \dQuote in packages (Rebecca Sela)
81. Re: truncated regression out-of-sample predictions
(Wouterse, Fleur (IFPRI-Senegal))
82. heatmap.2: question regarding the "raw z-score" (Chrysanthi A.)
83. print() to file? (Steve Jaffe)
84. Re: print() to file? (Greg Snow)
85. Re: Reading from Google Docs (Gabor Grothendieck)
86. Re: matching each row (tathta)
87. bootstrapping error message "Error in t.star[r, ] <-
statistic(data, i[r, ], ...) : number of items to re...