Provided by: herisvm_0.8.2-1_all
heri-stat - calculates precision, recall, F1 and some other things
heri-stat [OPTIONS] golden_file predictions_file heri-stat -1 [OPTIONS] [files...]
Unless option -1 was applied heri-stat reads golden classes from golden_file (one class per line) and predicted classes from predictions_file (one class per line) and outputs precision, recall, F1 and some other statistics to stdout. It is allowed for predictions_file to contain two tokens per line, the first one is a class and the second one is a score, e.g. probability. If -1 was applied, two or three tokens per line are expected on input: golden class, predicted class, and optional score.
-h, --help Display help information. -R, --raw Raw tab-separated output. -m, --micro-avg Disable micro averaged P/R/F1 output. -r, --macro-avg Disable macro averaged P/R/F1 output. -c, --per-class Disable output of per-class statistics. -a, --accuracy Disable output of accuracy. -1, --single 2 or 3 tokens per line are expected on input. -u, --unclassified label Set the label for "unclassified" object. If specified, micro-averaged P/R/F1 is calculated instead of accuracy. Also, statistics for this class is not calculated. -t, --treshold value Consider classes with score less than the specified value as unclassified.
heri-eval(1) heri-split(1) 2019-01-07 heri-stat(1)