(5) Micro Average Micro averaging computes a global average F1 score by counting the sums of the True Positives (TP), False Negatives (FN), and False Positives (FP). We first sum the respective TP, FP, and FN values across all classes and then plug them into the F1 equation to get ...
The DRISHTI-GS1 dataset49includes 101 retinal images for glaucoma assessment. The images were captured with a\(30^\circ\)FOV centered on the optic disc (OD) and are of size 2896\(\times\)1944 pixels. Average boundaries of both the optic cup (OC) and the OD in all images were obtained...
N.B. The F1 score evaluates the performance of a classification model. It can be interpreted as a weighted average of the precision and recall. Precision is the reciprocal of variance and indicates how close different samples are to each other. Recall refers to the ability of a model to fin...
Using the improved TOPSIS, the similarity (𝑠s) of the financial sustainability of MFIs are calculated through Formula (8). The ranked results, determined by the similarity scores, are shown in Table 7. According to the final case study result, we can clearly observe the similarity scores of...
The previous literature usually adopted accounting ratios and corporate governance factors as criteria, especially accounting ratios, such as the operational self-sufficiency ratio, average loan per borrower, and cost per borrower [16,18,37]. However, the performance of MFIs may be different if the...
Therefore, we used the macro disease index (MDI) to represent the average level of disease occurrence in the specified area, which was calculated according to formula (5): 𝐷=∑ (𝑖×𝐿𝑖)𝑛𝐿 D=∑ (i×Li)nL (5) where 𝐷D is the macro disease index; 𝑖i is the ...
Then, we analyzed the effectiveness of O/E-SA by comparing its performance with common indices, including Benthic Index of Biotic Integrity (B-IBI), Average Score Per Taxon (ASPT), O/E indices based on Random Forest models (O/E-RF) and then assessed the relationships with eutrophication ...