Table 1.

The table presents the various parameter settings that were tested for the classification thresholds used in the study. The lower bound refers to the smallest value that was tested and was iteratively increased by the step size until the upper bound was reached. This testing process involved all possible combinations of parameter values within the specified lower and upper bound ranges, excluding any duplicates.

Parameter	Lower bound	Upper bound	Stepsize
Small lower limit	1.00	1.29	0.01
Small upper limit	1.18	1.24	0.01
Intermediate upper limit	1.35	1.51	0.01
Large upper limit	2.00	2.59	0.01