Feature Selection and Classification of Clinical Datasets Using Bioinspired Algorithms and Super Learner

<table class="table-group" id="tab4"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Parameter</td><td class="align_center">Description</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">SMP</td><td class="align_center">SMP is used to define the size of the seeking memory of each cat. Each cat selects possible neighborhood position from a set of solutions.</td></tr><tr><td class="align_left">SRD</td><td class="align_center">SRD is used to define the seeking range of the selected dimension.</td></tr><tr><td class="align_left">CDC</td><td class="align_center">CDC is a count of dimensions to be changed in seeking mode.</td></tr><tr><td class="align_left">SPC</td><td class="align_center">SPC indicates whether the cat is in the current position or not.</td></tr><tr><td class="align_left">N</td><td class="align_center">Number of cats</td></tr><tr><td class="align_left">MR</td><td class="align_center">Mixed ratio of cats</td></tr><tr><td class="align_left">C</td><td class="align_center">Constant value</td></tr><tr><td class="align_left">D</td><td class="align_center">Size of dimension</td></tr><tr><td class="align_left">R</td><td class="align_center">Random number in the range of [0,1]</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Outline of the parameters used in CSO.</div>

Computational and Mathematical Methods in Medicine

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Table 4

Table 4: Feature Selection and Classification of Clinical Datasets Using Bioinspired Algorithms and Super Learner 