Before revision:  In this paper, we comprehensively study the changing trend of the default rate of P2P USA market at the aggregative level from August 2007 to January 2016. From the data visualization perspective, we found that three features, including delinq_2yrs, recoveries, and collection_recovery_fee, could potentially increase the default rate. The long short-term memory (LSTM) approach shows its great potential in modeling the P2P transaction data .
After revision:  In this paper, we comprehensively study the changing trend of the default rate of P2P USA market at the aggregative level from August 2007 to January 2016 in the US. We use the long short term memory (LSTM) approach shows its great potential in modeling the P2P transaction data .