Predicting Click-Through Rates of New Advertisements Based on the Bayesian Network

<div class="floats-full-page floats-full-page-other"><h2>Table 2</h2><div class="floats-full-page-caption">Correctness of CTR prediction.</div><div class="floats-full-page-content"><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 align="left">Ad ID</td><td align="center">rCTR (%)</td><td align="center">pCTR (%) </td><td align="center">Error (%)</td></tr><tr><td class="thead-hr" colspan="4"><hr /></td></tr><tr><td align="left">21442606</td><td align="center">42.2</td><td align="center">53.1</td><td align="center">10.9</td></tr><tr><td align="left">10950981</td><td align="center">42</td><td align="center">64</td><td align="center">22</td></tr><tr><td align="left">20302019</td><td align="center">70.5</td><td align="center">71.2</td><td align="center">0.7</td></tr><tr><td align="left">20158057</td><td align="center">100</td><td align="center">77</td><td align="center">23</td></tr><tr><td align="left">10757736</td><td align="center">33.3</td><td align="center">67</td><td align="center">33.7</td></tr><tr><td align="left">10110478</td><td align="center">62.5</td><td align="center">77</td><td align="center">14.5</td></tr><tr><td align="left">10228933</td><td align="center">100</td><td align="center">46</td><td align="center">54</td></tr><tr><td align="left">20174702</td><td align="center">73.6</td><td align="center">65.6</td><td align="center">8</td></tr><tr><td align="left">20277194</td><td align="center">50</td><td align="center">79</td><td align="center">29</td></tr><tr><td align="left">20745473</td><td align="center">50</td><td align="center">46</td><td align="center">4</td></tr><tr class="table-tr"><td colspan="4"><hr class="tbody-hr" /></td></tr></table></td></tr></table></div></div>

Table 2 | Predicting Click-Through Rates of New Advertisements Based on the Bayesian Network

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Table 2: Predicting Click-Through Rates of New Advertisements Based on the Bayesian Network

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Table 2

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