Predicting and Preventing Crime: A Crime Prediction Model Using San Francisco Crime Data by Classification Techniques

<table class="table-group" id="tab4"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left"> </td><td class="align_center" colspan="2"> </td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">Predictions/references</td><td class="align_center">Nonviolent crime</td><td class="align_center">Violent crime</td></tr><tr><td class="align_left">Nonviolent crime</td><td class="align_center">55,282</td><td class="align_center">31,117</td></tr><tr><td class="align_left">Violent crime</td><td class="align_center">31,518</td><td class="align_center">57,693</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Confusion matrix results of Naive Bayes on testing data.</div>

Complexity

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Table 4

Table 4: Predicting and Preventing Crime: A Crime Prediction Model Using San Francisco Crime Data by Classification Techniques 