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Exact(6)
The "get count" result with the smallest number of features shows the best offset to be applied.
The feature class containing the smallest number of features is selected and saved; the other feature classes are deleted from the map document.
Then, the second step selected the combination of values, which provided the best performance and smallest number of features.
If this still yielded equal results, we finally selected the simplest model (i.e., smallest number of support vectors and smallest number of features).
However, even in such a scenario, the recursive feature selection procedure can help us to identify the smallest number of features that can distinguish the two families, and can also help us to identify the most distinctive differences between the compared groups.
The best choice of λ for the six datasets (sorted from the smallest number of features in the data to the largest number of features) were 0, 0.004 0.002, 0.004 and 0.004 for Setting 1, and 0, 0,002 0.004, 0.004 and 0.006 for Setting 2. Then λ was set to the optimal value for each of the six datasets, and we re-ran the algorithm to generate the final quantitative trait from each dataset.
Similar(54)
VLOG segment contains a smaller number of features and tasks.
A small number of features are estimated by the pixels' intensity projection into an RBC-space.
This algorithm achieves a good detection accuracy with small number of features.
In order to select a smaller number of features a subset selection algorithm is proposed.
The proposed algorithm can achieve good detection performance with a small number of features.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com