HSDP: A Hybrid Sampling Method for Imbalanced Big Data Based on Data Partition

<table class="table-group" id="tab2"><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">Predicted as positive</td><td class="align_center">Predicted as negative</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">Actually positive</td><td class="align_center">TP</td><td class="align_center">FN</td></tr><tr><td class="align_left">Actually negative</td><td class="align_center">FP</td><td class="align_center">TN</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Complexity

tab2

Table 2

Table 2: HSDP: A Hybrid Sampling Method for Imbalanced Big Data Based on Data Partition 