[hashin]

One thing that caught my attention is that the doctors get it right only 60% of time. The algorithm gets 80%. But that is also a lot of room for improvement considering what machine learning can do.

If there is anyone familiar with this kind of data. Please chip in something about the nature of data. It will be helpful in appreciating the difficulty of the problem more.

[AndrewOMartin]

I might be referring to a different problem here, but often when ML gets something wrong, it gets it mind-bogglingly wrong.

Taking an extreme cartoon example, where a doctor might think a cancer is a cough, a computer might think the lamp is a patient.