__NOTOC__ For details on the design of the Feature Engineering Console, see FEC Design. For details on the current development status of the Feature Engineering Console, see FEC Development. This page focuses on current features of the FEC from a user's perspective. See also Feature Engineering Cycle.
The Feature Engineering Console, or FEC, is a graphical tool to assist the researcher in identifying the impact of different features on the performance of classification and identification systems. Important features include:
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These instructions will show you how to start using the FEC for a simple proper noun phrase classification task:
See below for an image of the CCM.
When FEC loads, it should initially look something like this:<br/> FECInitialWindow.png
The above screenshot focuses on the System List Panel, which displays any experimentation systems currently loaded. These are discovered at runtime as outlined in Engineering Environment. To open a system for work, double-click on its entry in the System List Panel
The initially visible part of an Experimentation System Panel is the Experiment List Panel. The experiment list panel lists all available experiments within the system, and color-codes them according to whether the experiment has already been run to generate results:
<!– ExperimentListPanel.jpg –>
Shows the overall effectiveness of the current featureset. This is the traditional output we have used in the past.<br/> Bigram_and_fivegram_global_det_curve_-_11_oct_2007.png
A matrix of all pairs of languages will show the strength of the featureset in discriminating between any two languages. To determine a clean mechanism of generating language-language DET curves, look at how the LANGUAGE_LIST and LONG_LANGUAGE_LIST variables are consumed by the build system.