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In this case, Δ G DS of both methods were equal because of the one-stage selection approach.
In 31% of the cases the parsimony lengths of the MRP and MR supertree were equal and in 31.5% the MR scores of both methods were equal.
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Example of this type of methods are equal-width and equal-frequency discretization algorithms [10].
The approximation accuracy of both methods is co-equal on the trained interval values <10,300>, however the ANN approximation ability rapidly falls outside of this range, while the D-PNN alternate errors grow just slowly.
From the figure, it is illustrated that on average, the number of transmissions to the FC for both methods is approximately equal and matches the theoretical requirements.
For these values of the parameters, areas under the aggregating curves of both methods are approximately equal, according to Equation 1.
Figure 5 shows the computation time in-terms of CBF and CF-based recommendations together where both methods are highly efficient and take almost equal time to generate recommendations (0.3 s for 200 items).
Both the methods were scored with equal and high score values against contextualization.
Adjusted Wald methods were used for marker intervals, whose θ equals zero.
Proportions of ants in particular methods were equal in the majority of cases.
As we observed in the Table 2, resulting tc values from six methods were not equal.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com