heri-stat1

Usage

Overview

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

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