A Comparative Analysis of Fraudulent Recruitment Advertisement Detection Methods in the IoT Environment

<table class="table-group" id="tab3"><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_left" rowspan="2">Confusion matrix</td><td class="align_center" colspan="2">Predict</td></tr><tr class="thead"><td class="align_left"></td><td class="align_center">Positive</td><td class="align_center">Negative</td></tr><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr><td class="align_left" rowspan="2">True</td><td class="align_center">Positive</td><td class="align_center">TP</td><td class="align_center">FN</td></tr><tr><td class="align_center">Negative</td><td class="align_center">FP</td><td class="align_center">TN</td></tr><tr class="table-tr"><td colspan="4"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Confusion matrix for binary classification.</div>

Journal of Sensors

tab3

Table 3

Table 3: A Comparative Analysis of Fraudulent Recruitment Advertisement Detection Methods in the IoT Environment 