The otutab_forest_classify command is used to predict metadata categories for samples in an OTU table using a random forest which was previously trained on an OTU table (or feature table) with known categories.
The OTU table filename is specified following otutab_forest_classify.
Predictions are written to a tabbed text file specified by the -tabbedout option. There are three fields:
#1. Observation label (typically, sample name).
#2. Predicted category.
#3. Confidence (P).
Confidence values are in the range 0 (low confidence) to 1 (high confidence).
usearch -forest_classify otutab.txt -forestin