NAME

       heri-stat - calculates precision, recall, F1 and some other things

SYNOPSIS

       heri-stat [-R] [-mrca] [-u label] [-t threshold]
          outcomes_file predictions_file

       heri-stat -1 [-R] [-mrca] [-u label] [-t threshold]
          [files...]

       heri-stat -g mode [-R] [-xy]  outcomes_file predictions_file

       heri-stat -1 -g mode [-R]  [files...]

       heri-stat [-h]

DESCRIPTION

       The first and second types of heri-stat invocation takes classification dataset and predictions on input,
       and calculate precision, recall and F1. Unless option -1 was applied, heri-stat reads correct classes
       from outcomes_file (one class per line) and predicted classes from predictions_file (one class per line).
       It is allowed for predictions_file to contain two tokens per line. The first one is a predicted class,
       the second one is a score, e.g. probability.

       The third and forth type of heri-stat invocation takes regression outcomes and predictions on input (one
       value per line) and calculate mean absolute error (MAE), mean squared error (MSE) and/or mean absolute
       error (MAE).

       If -1 was applied, two or three tokens per line are expected on input: correct value (or class for
       classification), predicted value (or 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.

       -g, --regression mode
             Regression outcomes and predictions are expected on input.  If  mode  contains  symbol  a,  MAE  is
             output, s -- MSE, and r -- RMSE is output.

HOME

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

SEE ALSO

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

                                                   2021-01-25                                       heri-stat(1)