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The host is the lowest (worst-performing) line on the graph, only slightly outcompeted by the random strategy.
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In the random strategy, blocks are randomly selected for locking.
For sampling core collections, the gain when scoring with the Maximization strategy was higher than with the Random strategy.
Usually thigmotaxis is rapidly overcome and replaced by the "random search" strategy covering the entire pool surface.
Also, the percentage of alleles from the thematic collection retained by the random sampling strategy dropped to 72.90% (Table 1).
A set of strategies will be created by selecting a random strategy from each unit.
This observation is confirmed by looking at Table 1 that shows how the performance of Strategies 1 and 2 is comparable with that of the simplest and random Strategy 0. The situation instead changes when the number of nodes increases.
We evaluate LPPO by comparing it with random strategy under the best training condition and valSelRF [ 24].
For each sample size, the performance of each strategy (M, H) was compared to a pure random strategy by comparing the average score of 30 100 core collections sampled independently.
The Rand indices adjusted for chance derived by comparing the true classification to the classification induced by the models fitted using the random initialization strategy are given in Figure 2. The cluster performance is clearly worse than for the models fitted with initialization in the true solution.
The regular response process is captured by an IRT model of a particular form, and the random response strategy by an alternative response model in which the (constant) probability of success is independent of ability.
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