In machine learning 95% accuracy is not very useful. It means the algorithm will be wrong 1 out of 20 times. So every 20th word in speech recognition will be incorrect, your medical diagnosis will be wrong for every 20th person, your face will not unlock your phone every 20th time, every 20th person will not be allowed to log into a web site. There are some machine learning applications where 95% is good enough or ev…
The author of the article seems to be confused about statistics.