Re: [Qgis-user] Classification in R (Off Topic)

2018-10-24 Thread MacQueen, Don
The most appropriate forum would be:

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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.

The help page (in R) should give some indication of what "OOB" means, or 
perhaps provides references that will (I myself do not know).

-Don

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Don MacQueen
Lawrence Livermore National Laboratory
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From: Qgis-user  on behalf of Eddison Araya 

Date: Monday, October 22, 2018 at 11:18 AM
To: qgis-user 
Subject: [Qgis-user] Classification in R (Off Topic)

Hello, this is not the right forum, but I appeal to the community:

I made a process using R, changing only inputs and outputs to generate a 
supervised classification and gives me the following data at the end:

Calculating random forest object
Starting predictions
#
OOB error rate estimate
0.007407407%

Confusion matrix
1   2   3  4 class.error
1 101   0   0  0 0.0
2   0 101   0  0 0.0
3   0   0 101  1 0.009803922
4   0   1   1 99 0.019801980

Hello, this is not the right forum, but I appeal to the community:

I made a process using R, changing only inputs and outputs to generate a 
supervised classification and gives me the following data at the end:

So: 1. What does OOB mean in itself? 2. In what range or interval should the 
OOB value be so that the prediction is better?

Thank you
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[Qgis-user] Classification in R (Off Topic)

2018-10-22 Thread Eddison Araya
Hello, this is not the right forum, but I appeal to the community:

I made a process using R, changing only inputs and outputs to generate a
supervised classification and gives me the following data at the end:

Calculating random forest object
Starting predictions
#
*OOB error rate estimate*
*0.007407407%*

Confusion matrix
1   2   3  4 class.error
1 101   0   0  0 0.0
2   0 101   0  0 0.0
3   0   0 101  1 0.009803922
4   0   1   1 99 0.019801980

Hello, this is not the right forum, but I appeal to the community:

I made a process using R, changing only inputs and outputs to generate a
supervised classification and gives me the following data at the end:

So: 1. What does OOB mean in itself? 2. In what range or interval should
the OOB value be so that the prediction is better?

Thank you
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