Provided by: herisvm_0.8.2-1_all bug


       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)