Summary
- Plugin name : Kappa coefficient
- Version : 0.1
- Author : Serrière Guillaume
- Company : Inria
- Short description : Compute the kappa coefficient for the classifier.
- Documentation template generation date : Apr 11 2018
Description
The box computes kappa coefficient for a classifier.
This box computes the Cohen kappa coefficient that allows to compare the accordance of two classifiers (https://en.wikipedia.org/wiki/Cohen%27s_kappa), The box compares the results of the classifier (second input) to the 100% match classifier (first input).
The result is streamed on the first output, and is displayed in real time in a standalone visualization.
Inputs
1. Expected stimulations
The first input receives the expected stimulation.
- Type identifier : Stimulations (0x6f752dd0, 0x082a321e)
2. Found stimulations
This input receives the stimualtions found by the classifier.
- Type identifier : Stimulations (0x6f752dd0, 0x082a321e)
Outputs
1. Confusion Matrix
This output contains the current value of the Kappa coefficient.
- Type identifier : Streamed matrix (0x544a003e, 0x6dcba5f6)
Settings
Each setting except the first one corresponds to the stimulation code of a class. A stimulation must be unique.
1. Number of classes
This setting indicates the amount of classes handled by the box. This setting will change the amount of setting.
- Type identifier : Integer (0x007deef9, 0x2f3e95c6)
- Default value : [ 2 ]
2. Stimulation of class 1
This setting indicates the stimulation corresponding to the first class.
- Type identifier : Stimulation (0x2c132d6e, 0x44ab0d97)
- Default value : [ OVTK_StimulationId_Label_01 ]
3. Stimulation of class 2
This setting indicates the stimulation corresponding to the second class.
- Type identifier : Stimulation (0x2c132d6e, 0x44ab0d97)
- Default value : [ OVTK_StimulationId_Label_02 ]
Examples
Miscellaneous
Generated on Tue Jun 26 2012 15:25:54 for Documentation by 1.7.4