Novel Key Indicators Selection Method of Financial Fraud Prediction Model Based on Machine Learning Hybrid Mode

<table class="table-group" id="tab7"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Num</td><td class="align_center">Feature</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">1</td><td class="align_center">INT_PAYABLE</td></tr><tr><td class="align_left">2</td><td class="align_center">C_OUTF_FR_INVEST_A</td></tr><tr><td class="align_left">3</td><td class="align_center">INTAN_ASSETS</td></tr><tr><td class="align_left">4</td><td class="align_center">LT_EQUITY_INVEST</td></tr><tr><td class="align_left">5</td><td class="align_center">DILUTED_EPS</td></tr><tr><td class="align_left">6</td><td class="align_center">NOPERATE_EXP</td></tr><tr><td class="align_left">7</td><td class="align_center">ADVANCE_RECEIPTS</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

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Table 7

Table 7: Novel Key Indicators Selection Method of Financial Fraud Prediction Model Based on Machine Learning Hybrid Mode 