Big Data Credit Report in Credit Risk Management of Consumer Finance

<table class="table-group" id="tab2"><tr><td><table class="table"><tr><td class="thead-hr" colspan="6"><hr/></td></tr><tr class="thead"><td class="align_left">Model name</td><td class="align_center">Actual normal customers</td><td class="align_center">Actual default customers</td><td class="align_center">Predict the number of normal customers</td><td class="align_center">Predicted default customers</td><td class="align_center">Accuracy in predicting default customers</td></tr><tr><td class="thead-hr" colspan="6"><hr/></td></tr><tr><td class="align_left"><svg height="12.1567pt" id="M39" style="vertical-align:-3.40336pt" version="1.1" viewbox="-0.0498162 -8.75334 102.302 12.1567" width="102.302pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.013,0,0,-0.013,0,0)"><path d="M495 163C480 117 462 85 444 65C421 39 387 34 332 34C290 34 256 36 236 47C218 57 213 77 213 131V526C213 612 222 616 301 622V650H40V622C122 616 128 611 128 526V126C128 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68 145L41 140C41 104 51 36 58 22C75 7 121 -12 172 -12C252 -12 337 35 337 126C337 195 286 231 210 262C166 281 126 304 126 348C126 388 152 417 191 417C240 417 274 378 294 318L319 325Z"></path></g><g transform="matrix(.013,0,0,-0.013,98.031,0)"><path d="M298 36L289 62C276 55 253 45 228 45C202 45 169 60 169 141V397H276C289 405 292 426 282 437H169V574L155 576L90 509V437H45L17 408L21 397H90V107C90 28 125 -12 188 -12C198 -12 213 -8 230 1L298 36Z"></path></g></svg> fusion model</td><td class="align_center">22,470</td><td class="align_center">6701</td><td class="align_center">19,738</td><td class="align_center">6509</td><td class="align_center">97.14%</td></tr><tr class="table-tr"><td colspan="6"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Forecast results of personal credit risk model of personal credit business data.</div>

Wireless Communications and Mobile Computing

Big Data Credit Report in Credit Risk Management of Consumer Finance

Table 2