NAME

       heri-stat - calculates precision, recall, F1 and some other things for given golden data and predictions.

SYNOPSIS

       heri-stat    [OPTIONS] golden_file predictions_file

       heri-stat -1 [OPTIONS] [files...]

DESCRIPTION

       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.

OPTIONS

       -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.

HOME

       <http://github.com/cheusov/herisvm>

SEE ALSO

       heri-eval(1) heri-split(1)

                                                   2016-02-29                                       heri-stat(1)