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The scenario selected in the model selection approach showed dispersal of cats from Europe to Australia and secondary introductions leading to gene flow between Cocos and Christmas Island, Asia and Australia (Fig. 2).
The RMIP was calculated for each marker as the proportion of data samples in which the marker was tested and selected in the model of interest at the given selection p. To compare the efficiency of the TAGGING ensemble learning method with existing ones, we implemented subsample aggregating (subagging) of both JF and SF analyses using the same base learning algothrims as in TAGGING.
In fact, 1000 bootstrap samples resulted in 1000 sets of the selected variables and therefore, the variable relevance to the final model is evaluated by the so-called selection frequency, which indicates the percentage of times a variable is selected in the model.
The IRI-TEC also does not show any response to geomagnetic activity, despite the STORM option being selected in the model; the IRI model generally remains smooth and underestimates TEC during a storm.
Further, we remark that fewer features are selected in the model to be used by SVM compared to the initial feature number of the dataset.
The simulation is continued until the variables selected in the model population do not change further.
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PCFs selected in the models could be assigned to several descriptor groups.
The construct validity showed that the items "temperature", "respiratory symptoms" and "general signs and symptoms of illness" were significantly related to "infection", and these were also selected in the model-building.
The factors selected in the models have been associated with physical activity in previous studies.
Table 1 describes each of the variables selected in the models.
However, despite the inherent limitations of statistical adjustment in cohort studies, the variables we selected in the models appear logical.
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