Implementation of Machine Learning Mechanism for Recognising Prostate Cancer through Photoacoustic Signal

<table class="table-group" id="tab5"><tr><td><table class="table"><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr class="thead"><td class="align_left">Method</td><td class="align_center">Sensitivity (%)</td><td class="align_center">Specificity (%)</td><td class="align_center">Accuracy (%)</td></tr><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr><td class="align_left">SVM</td><td class="align_center">93.4</td><td class="align_center">94.4</td><td class="align_center">96.8</td></tr><tr><td class="align_left">NB</td><td class="align_center">95.1</td><td class="align_center">92.9</td><td class="align_center">95.2</td></tr><tr><td class="align_left">C4.5</td><td class="align_center">92.8</td><td class="align_center">91.5</td><td class="align_center">97.3</td></tr><tr class="table-tr"><td colspan="4"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

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Table 5

Table 5: Implementation of Machine Learning Mechanism for Recognising Prostate Cancer through Photoacoustic Signal 