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In all comparisons, we plotted the index accuracy versus pCB.
The index accuracy also increased almost linearly with the size of the reference population (nP).
The best scenario used genomic selection based on 6000 CB individuals, giving an index accuracy of 0.554.
Index accuracy increased to 0.526 if, in addition, genomic selection was based on a PB reference population of 6000 individuals.
Figure 3 shows the effect of rPC on index accuracy and how the accuracy changes with pCB.
Figure 2 compares the index accuracy for different breeding objectives and with the relative emphasis put on PB performance (PB_EV) ranging from 0 to 0.4.
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Below we describe the details of our algorithm, and then we explain the optimization and validation procedures that we have developed with a specific focus on how to reach the h-index accuracy objective.
Therefore, according to the indexing accuracy error model and tolerance proportional model, the pass rate model of end-toothed disc is established and a new approach for tolerance development is put forward based on this pass rate model.
Hence, tooth width error is proposed in order to describe the deviations of the benchmarks and the indexing accuracy error model is also established according to these four errors in this paper.
Behavioral indices (accuracy, reaction times, or ocular activity) were recorded in 53 studies (96.36 %), and neural signals (ERPs, fMRI, or intracranial recordings) were recorded in 38 studies (69.09 %), usually along with behavioral indices.
The SVM and RF are evaluated using Kappa index, classification accuracy and classification error as accuracy metrics.
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