Multi-temporal Random Forest - NaN pixels

[ABraun]

these areas are not trained but cannot be classified according to the RF algorithm:

Multi-temporal Random Forest - NaN pixels

the NaN pixels fall below the confidence threshold of the RF algorithm meaning that the signature cannot be assigned to a class above the desired confidence. At the moment you can only increase the confidence threshold in the layer properties but nontheless these areas are zero. Would be a nice improvement of the RF module to have more influence on parameters like confidence or number of samples per node ect.

Also here: Random Forest NAN at Confidence values below 0.5