Analysis of the Customer Churn Prediction Project in the Hotel Industry Based on Text Mining and the Random Forest Algorithm

<table class="table-group" id="tab2"><tr><td><table class="table"><tr><td class="thead-hr" colspan="1"><hr/></td></tr><tr class="thead"><td class="align_left">Pseudo code of the gravitational search algorithm</td></tr><tr><td class="thead-hr" colspan="1"><hr/></td></tr><tr><td class="align_left">Search space identification, initialization of parameters<br/>Random initialization of agents.<br/>While the final conditions are not met, do the following steps:<br/> Fitness evaluation of agents<br/> Update G(<i>t</i>), best(<i>t</i>), worst(<i>t</i>) and Mi(<i>t</i>) for <i>i</i> = 1,2, …, <i>N</i>.<br/> Calculation of the total force in different directions<br/> Calculation of acceleration and velocity<br/> Update the position of each agent.<br/> Returning the best solution found.<br/>End While</td></tr><tr class="table-tr"><td colspan="1"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Pseudo code of gravitational search algorithm.</div>

Advances in Civil Engineering

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Table 2

Table 2: Analysis of the Customer Churn Prediction Project in the Hotel Industry Based on Text Mining and the Random Forest Algorithm 