Random forest classifier
Feature table file
The forest_classify command is used to predict metadata categories for observations in a feature table using a random forest which was previously trained on an feature table (or OTU table) with known categories.
The feature table filename is specified following 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 (lowest confidence) to 1 (highest confidence).
usearch -forest_classify feature_table.txt -forestin