Maybe putting the result of the prediction into a raster directly will work for you as well (I usually do this and there is no such problem with it). I execute a cluster:

beginCluster()

preds_rf

Dear Sajid,

Be aware that predict.randomForest(, type = "prob") will give you a matrix as result, instead of a vector, that is required by raster::predict(). You should give a try to

Output_raster

here is my code, can you please check it. still same error.

################

#loadinga data

slope=raster("parameters/slope_rc.tif")

aspect=raster("parameters/aspect_rc.tif")

road=raster("parameters/road.tif")

stream=raster("parameters/stream.tif")

lithology=raster("parameters/lithological_units.tif")

landcover=raster("parameters/landcover_n.tif")

fault=raster("parameters/fault.tif")

rainfall=raster("parameters/rainfall_rc.tif")

plan_cur=raster("parameters/plan_rc.tif")

prof_cur=raster("parameters/prof_rc.tif")

NDVI=raster("parameters/NDVI.tif")

TWI=raster("parameters/TWI_rc.tif")

SPI=raster("parameters/SPI_rc.tif")

elevation=raster("parameters/elevation_rc.tif")

training_data=raster("inventory/training_data.tif")

#resample

road