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)