What I mean is the Iris data set splits into 3 categories easily.
Right now, they are saying AI self driving cars can get their predictions right 95%+ of the time. However, the cases where they cannot classify the object is the problem. Those are the "maybe" cases I was referring to where they algorithm simply cannot classify the object no matter how much it has seen.
Right now, they are saying AI self driving cars can get their predictions right 95%+ of the time. However, the cases where they cannot classify the object is the problem. Those are the "maybe" cases I was referring to where they algorithm simply cannot classify the object no matter how much it has seen.