[Retracted] Identification of Diabetic Retinopathy through Machine Learning

Table 4

Precision results for optimum-path forest (OPF) (500 and 1000) and restricted Boltzmann machine (RBM) (500 and 1000).

Repetitions	OPF-500	OPF-1000	RBM-500	RBM-1000
0	0.7667	0.7667	0.868	0.868
1	0.8	0.8	0.789	0.895
2	0.7667	0.8	0.737	0.921
3	0.8	0.8	0.789	0.895
4	0.8333	0.8	0.711	0.921
5	0.7333	0.7333	0.763	0.868
6	0.8	0.7667	0.711	0.921
7	0.7667	0.7667	0.763	0.895
8	0.7667	0.7333	0.763	0.842
9	0.7667	0.7667	0.763	0.895
10	0.8	0.8	0.789	0.895
11	0.8667	0.7667	0.737	0.947
12	0.7667	0.7333	0.711	0.895
13	0.8	0.7667	0.737	0.895
14	0.6667	0.7667	0.816	0.868
Average	78	77.11	76.31	89.47
Standard deviation	4.51	2.48	4.31	2.64

Values in bold indicate the best results (mean and standard deviation) by the Wilcoxon test, with 5% significance.