A Novel Key Influencing Factors Selection Approach of P2P Lending Investment Risk

Table 4

Classification accuracy analysis before and after key influencing factors selection of P2P lending investment risk.

Combinations	Attribute subsets	Classification accuracy (%)
		Max	Mean
Combination 1	H1, H2, …, H17	85.6250	77.8227
Combination 2	H1, H4, H7, H15	76.6234	66.1543
Combination 3	H1, H7, H15	74.5342	65.7832
Combination 4	H1, H6, H7, H15	86.4198	78.3466
Combination 5	H1, H7, H10, H15	77.6398	70.6136
Combination 6	H1, H7, H11, H15	89.3750	79.5277
Combination 7	H1, H6, H7, H10, H15	86.9565	80.0076
Combination 8	H1, H6, H7, H11, H15	88.8199	82.4711
Combination 9	H1, H7, H10, H11, H15	93.1250	83.9844
Combination 10	H1, H6, H7, H10, H11, H15	90.0621	82.6736

“Max” and “Mean,” respectively, indicate the maximal and the average classification accuracies of the P2P lending subsets.