the image in blocks and use
predict.randomForest directly.
Benjamin
-Original Message-
From: Liaw, Andy [mailto:andy_l...@merck.com]
Sent: November 18, 2010 8:39 AM
To: Deschamps, Benjamin; r-help@r-project.org
Subject: RE: [R] randomForest parameters for image classification
1. Memory
show us the code you used to run randomForest, the output, as
> well as what you get with other algorithms (on the same random subset
> for comparison). I have yet to see a dataset where randomForest does
> _far_ worse than other methods.
>
> Andy
>
> > -Original Mes
ks, Benjamin
-Original Message-
From: Liaw, Andy [mailto:andy_l...@merck.com]
Sent: November 11, 2010 7:02 AM
To: Deschamps, Benjamin; r-help@r-project.org
Subject: RE: [R] randomForest parameters for image classification
Please show us the code you used to run randomForest, the output, as
well as wha
p-boun...@r-project.org
> [mailto:r-help-boun...@r-project.org] On Behalf Of Deschamps, Benjamin
> Sent: Tuesday, November 09, 2010 10:52 AM
> To: r-help@r-project.org
> Subject: [R] randomForest parameters for image classification
>
> I am implementing an image classifica
I am implementing an image classification algorithm using the
randomForest package. The training data consists of 31000+ training
cases over 26 variables, plus one factor predictor variable (the
training class). The main issue I am encountering is very low overall
classification accuracy (a lot of
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