Selaus avainsanan mukaan kokoelmassa "P2P lending"Diplomityöt ja Pro gradu -tutkielmat
Aineistot 1-4 / 4
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Default prediction in peer-to-peer lending and country comparison
(2021)The purpose of this thesis is to predict default in P2P lending and compare prediction performance and variable importance between countries. This research is done using feature selection (FS) and random under-sampling ... -
Exploring the factors affecting peer-to-peer lending performance with Self-Organizing Maps
(2019)The purpose of this study is to find out if the Self-Organizing Map (SOM) is an appropriate method for exploring peer-to-peer lending data and if it can be used to find factors or combinations of variables that would be ... -
Online peer to peer lending: clustering borrowers using self-organizing maps
(2014)The purpose of this thesis is to find out whether all the peer to peer lenders are unworthy of credit and also if there are single qualities or combinations of qualities that determine the probability of default of a person ... -
Supervised feature selection methods for default prediction in P2P lending
(2020)The purpose of this thesis is to investigate the performance of different feature selection (FS) methods in P2P lending default prediction. The tested FS methods include maximum-relevance-minimum-redundancy (MRMR) approach, ...
