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

[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 0.000000000
2   0 101   0  0 0.000000000
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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