From: The first step in the development of text mining technology for cancer risk assessment: identifying and organizing scientific evidence in risk assessment literature
No. of abstracts(f)
Classes
F
Random
f > 300
9
0.80
0.38
100 < f ≤ 300
12
0.73
0.13
20 < f ≤ 100
16
0.68
0.04