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The output matrix would be enhanced by headers for (what I assume?) is the user and producer accuracy statistics generated. As it stands, there is uncertainty over exactly what the matrix values are reporting.
The text was updated successfully, but these errors were encountered:
Ah, I see it is a confusion matrix not a classifier accuracy (i.e. producer/user columns).
Sorry for the delay, but yes it is a confusion matrix, I just add headers to specify what are lines/columns (i.e. Columns=Prediction,Lines=Reference).
It is corrected in the last version (v3.4.1 : https://github.com/lennepkade/dzetsaka/releases/tag/v3.4.1)
The output matrix would be enhanced by headers for (what I assume?) is the user and producer accuracy statistics generated. As it stands, there is uncertainty over exactly what the matrix values are reporting.
The text was updated successfully, but these errors were encountered: