Approximate Statistical Test For Comparing Supervised Classification Learning Algorithms Approximate Statistical Test For Comparing Supervised Classification Learning Algorithms
Paper summary This paper describes some statistical test very neatly. It also has a nice Figure which classifies statistical questions in machine learning. * 5x2cv: 5 iterations of 2 fold cross validation * Quasi-F test * McNemar's test: Described in detail! ## See also * [On Comparing Classifiers: Pitfalls to Avoid and a Recommended Approach](http://www.shortscience.org/paper?bibtexKey=journals/datamine/Salzberg97)
dx.doi.org
sci-hub.cc
scholar.google.com
Approximate Statistical Test For Comparing Supervised Classification Learning Algorithms
Dietterich, Thomas G.
Neural Computation Journal - 1998 via Bibsonomy
Keywords: dblp


Loading...
Your comment:


ShortScience.org allows researchers to publish paper summaries that are voted on and ranked!
About