Information Theoretic Metrics for Multi-Class Predictor Evaluation(tech.magnetic.com)

tech.magnetic.com

Information Theoretic Metrics for Multi-Class Predictor Evaluation

http://tech.magnetic.com/2015/06/multi-class-predictor-evaluation.html

1 comments

I'm not entirely clear on why this was needed - The Matthews Correlation Coefficient can easily be used in multi-class multi-label classification and regression scenarios.

darkmighty11 anni fa

I'm guessing here -- because there are highly dependent uncorrelated datasets?

It's easy to give examples:

https://en.wikipedia.org/wiki/Normally_distributed_and_uncor...

aphar11 anni fa

https://en.wikipedia.org/wiki/Matthews_correlation_coefficie... is defined for binary (two-class) classifications only.

brobdingnagian11 anni fa

MCC is trivially extended to support regression and multi-label. See the implementation in http://grey.colorado.edu/emergent

[deleted]11 anni fa