A Novel Multiway Splits Decision Tree for Multiple Types of Data

<table class="table-group" id="tab2"><tr><td><table class="table"><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr class="thead"><td class="align_left"> </td><td class="align_center">Setosa</td><td class="align_center">Versicolor</td><td class="align_center">Virginica</td></tr><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr><td class="align_left">Child node 1</td><td class="align_center">50</td><td class="align_center">0</td><td class="align_center">0</td></tr><tr><td class="align_left">Child node 2</td><td class="align_center">0</td><td class="align_center">48</td><td class="align_center">4</td></tr><tr><td class="align_left">Child node 3</td><td class="align_center">0</td><td class="align_center">2</td><td class="align_center">46</td></tr><tr class="table-tr"><td colspan="4"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Split results of weighted features for the <i>iris</i> dataset.</div>

Mathematical Problems in Engineering

tab2

Table 2

Table 2: A Novel Multiway Splits Decision Tree for Multiple Types of Data 