Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The machine learning community adopted the use of null hypothesis signicance testing (NHST) in order to ensure the statistical validity of results. Many scientic elds hover realized the shortcomings of frequentist reasoning and in the most radical cases even banned its use in publications.  should do the same: just as  have embraced the Bayesian paradigm in the development of new machine learning methods, so  should also use it in the analysis of our own results.  argue for abandonment of NHST by exposing its fallacies and, more importantly, oer better|more sound and useful|alternatives for it.
['Alessio Benavoli', 'Giorgio Corani', 'Janez Demšar', 'Marco Zaffalon']
I am writing a research paper on a idea Time for a change: a tutorial for comparing multiple classifiers through Bayesian analysis
[{"from": "human", "value": "I am writing a research paper on a idea Time for a change: a tutorial for comparing multiple classifiers through Bayesian analysis"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The machine learning community adopted the use of null hypothesis signicance testing (NHST) in order to ensure the statistical validity of results. Many scientic elds hover realized the shortcomings of frequentist reasoning and in the most radical cases even banned its use in publications.  should do the same: just as  have embraced the Bayesian paradigm in the development of new machine learning methods, so  should also use it in the analysis of our own results.  argue for abandonment of NHST by exposing its fallacies and, more importantly, oer better|more sound and useful|alternatives for it."}]