Table 9. Details of one-way analysis of variance (ANOVA).

Data Set	Parameters	Acc.	Se.	Sp.	Conclusion
DRIVE	Preprocessing threshold	✓0.000.	✓0.000	✓0.000	As p-value = 0.000 ≤ 0.05, then preprocessing threshold parameters (0.1,0.2,0.3, 0.4,0.5,0.6) are significant with respect to accuracy as well as Sensitivity and specificity
DRIVE	Filter threshold	χ 1.000	χ 0.252	✓0.000	As p-value = 0.000 ≤ 0.05 only for Specificity then threshold parameter is only significant for Specificity in DRIVE DB
DRIVE	Atifact size	χ 0.995	χ 0.852	χ 0.886	Insignificant, as p-value > 0.05
STARE	Preprocessing Threshold	✓0.000	✓0.000	✓0.000	As p-value = 0.000 ≤ 0.05, the prepr-ocessing threshold parameters (0.1,0.2,0.3, 0.4, 0.5,0.6) are sigy with respect to accuracy as well as Sensitivity and specificity
STARE	Filter threshold	χ 0.975	χ 1.000	✓0.003	As p-value = 0.000 ≤ 0.05 only for Specificity then threshold parameter is only significant for Specificity in Stare DB
STARE	Atifact size	χ 0.999	χ 1.000	χ 0.992	Insignificant, as p-value > 0.05
CHASE-DB1	Preprocessing Threshold	χ 0.801	χ 0.998	χ 0998	As p-value = 0.000 ≤ 0.05, therefore parameters (0.1,0.2,0.3, 0.4) pre- processing threshold (0.5,0.6) are significant with respect to accuracy y as well as Sensitivity and specificity
CHASE-DB1	Filter threshold	✓0.000	✓0.000	✓0.000	As p-value = 0.000 ≤ 0.05 for all the three performance measures then threshold parameter is significant for accurate, sensitivity and specificity
CHASE-DB1	Atifact size	χ 0.947	χ 0.967	χ 0.972	Insignificant, as p-value > 0.05

Notes.

Note 1: (✓) Significant Factor if P-Value ≤ 0.05, (χ) Insignificant Factor if P-Value > 0.05.

Note 2: Values in the columns: Acc., Se., and Sp. represent the significance of the p-value of ANOVA statistical analysis for the corresponding combination (Dataset, parameter, Performance Measure).