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Table 8 Precision of predictions as a function of the number of associated rules

From: A comprehensive study of small non-frameshift insertions/deletions in proteins and prediction of their phenotypic effects by a machine learning method (KD4i)

a) → Whole data set
N° of rules N° of deleterious NFS-Indels covered N° of neutral NFS-Indels covered Average precision
1 27 5 84.38
2 26 7 78.79
3 25 1 96.15
4 16 1 94.12
5 14 3 82.35
6 13 1 92.86
7 220 2 99.01
b) → Test set
N° of rules N° of deleterious NFS-Indels covered N° of neutral NFS-Indels covered Average precision
1 8 5 61.54
2 6 7 46.15
3 6 1 85.71
4 8 1 88.89
5 4 3 57.14
6 3 1 75.00