Credit Scoring: A Review on Support Vector Machines and Metaheuristic Approaches

<table class="fixed-width table-group" id="tab4"><tr><td><table class="table"><colgroup><col style="width:7.90em"/><col style="width:3.83em"/></colgroup><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Type </td><td class="align_center"> Count </td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">Standard MA</td><td class="align_center"> 10</td></tr><tr><td class="align_left">Hybrid MA-MA</td><td class="align_center"> 2</td></tr><tr><td class="align_left">Hybrid MA-DM</td><td class="align_center"> 31</td></tr><tr><td class="align_left" colspan="2"><hr/></td></tr><tr><td class="align_left">Total</td><td class="align_center"> 43</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Advances in Operations Research

tab4

Table 4

Table 4: Credit Scoring: A Review on Support Vector Machines and Metaheuristic Approaches 