Landscape metrics were then derived from the different classified images and compared through a coefficient of variation computing.
The coincidence for the presence/absence data was compared by a coefficient of similarity, specifically the "simple-matching coefficient" [ 55].
Comparing a transfer coefficient value of 1 vs either 0.5 or 0 (with drug dose set at 1.0), the mean frequency of drug-resistant cells was significantly lower when the drug target was highly shared (one-tailed t-test with unequal variances, P < 0.0001 for each comparison).
Here, 16 peaks were selected and compared, resulting in a coefficient of variance (CV) of 20.1%.
This cost-benefit estimate is typically assessed in two ways: (a) by comparing the coefficient of impact along some margin measured in an impact evaluation to the unit implementation cost of the project, and/or (b) by conducting adoption studies, where autonomous adoption is assumed to indicate that the adopter has deemed the investment worthwhile (i.e., financially sustainable).
The performance of the neuro-fuzzy model resulted better compared to conventional methods obtaining a coefficient of determination > 0.98, a root mean square error < 0.002 and a modified Schwarz Rissanen information criterion < 0.
The ZOM PCH compared to FOM PCH scores obtained a coefficient of determination score of R2 = 0.38, while ZOM PCH compared to SOM PCH scores were found to have a R2 = 0.21.
The estimates that were obtained using the models showed, compared to the corresponding simulations results, a coefficient of variation CV lower than 16% for all the models, with one exception, having a CV up to 30%.
By comparing the coefficient of t m m ! on both sides of the above equation, we obtain our desired result.
Significant differences in these values were examined by comparing the coefficient of variation (CV %) for the estimated parameters.
