A Comparative Analysis of Traditional SARIMA and Machine Learning Models for CPI Data Modelling in Pakistan

<table class="table-group" id="tab1"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left"> </td><td class="align_center">Estimate</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">Minimum value</td><td class="align_center">2.072</td></tr><tr><td class="align_left">Maximum value</td><td class="align_center">219.079</td></tr><tr><td class="align_left">Median</td><td class="align_center">19.057</td></tr><tr><td class="align_left">Mean</td><td class="align_center">46.888</td></tr><tr><td class="align_left">1st quartile</td><td class="align_center">6.162</td></tr><tr><td class="align_left">3rd quartile</td><td class="align_center">59.092</td></tr><tr><td class="align_left">Standard deviation</td><td class="align_center">57.671</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Summary statistics of the CPI of Pakistan from the year 1960 to 2021.</div>

Applied Computational Intelligence and Soft Computing

tab1

Table 1

Table 1: A Comparative Analysis of Traditional SARIMA and Machine Learning Models for CPI Data Modelling in Pakistan 