Thus the data imbalance will cause the insufficient study on properties of default sample, which has bad effect on the classification accuracy of both SVM and BP model.
In the predeployment phase, that is, during manufacture, the sensor nodes are preconfigured with an initial default sampling period S d and an initial optimal window size W d. Once deployed, starting from the beginning of BAN existence, the nodes exchange W d time observations, each sample separated by S d seconds.
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Several runs were carried out with default sampling parameters (burn-in = 50,000, sample = 250,000 and thin 50) to ensure consistency of results.
Under the default sampling parameters, selection coefficients were underestimated using the unlinked method, with a larger underestimate at high selection coefficients.
We note that for low SNP frequencies in conjunction with low coverages the sample sizes for sampling site characteristics (default sample size: 100000; see Appendix) need to be increased to calculate the distribution of scores S>0.
In this study, SmartPLS (SmartPLS 2.0.M3; SmartPLS, Hamburg, Germany) was used for performing the PLS-PM, in which the path weighting scheme was implemented for the inner estimate of the standardized latent variable in the PLS procedure, and the default sample number for the bootstrapping procedure was 500.
We used the default reference sample, which is the sample having the upper quartile most similar to the mean upper quartile across all samples.
We used the JoinMap default spatial sampling thresholds (0.10, 0.05, 0.03, 0.02, and 0.01) and three rounds of optimization per sample.
Thus, the default fragment sampling rate was deemed to be sufficient and the default value of 20.0 was used in the remainder of this study.
