Optimizing acceptance threshold in credit scoring using reinforcement learning
| dc.contributor.advisor | Lukason, Oliver, juhendaja | |
| dc.contributor.advisor | Märka, Karl, juhendaja | |
| dc.contributor.author | Herasymovych, Mykola | |
| dc.contributor.other | Tartu Ülikool. Majandusteaduskond | et |
| dc.contributor.other | Tartu Ülikool. Sotsiaalteaduste valdkond | et |
| dc.date.accessioned | 2018-06-26T11:31:02Z | |
| dc.date.available | 2018-06-26T11:31:02Z | |
| dc.date.issued | 2018 | |
| dc.identifier.uri | http://hdl.handle.net/10062/61009 | |
| dc.language.iso | eng | en |
| dc.publisher | Tartu Ülikool | et |
| dc.rights | openAccess | et |
| dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Estonia | * |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/ee/ | * |
| dc.subject.other | magistritööd | et |
| dc.subject.other | master's theses | en |
| dc.subject.other | tarbijakrediit | et |
| dc.subject.other | krediidireiting | et |
| dc.subject.other | tehisõpe | et |
| dc.subject.other | consumer credit | en |
| dc.subject.other | credit scoring | en |
| dc.subject.other | automatic learning | en |
| dc.title | Optimizing acceptance threshold in credit scoring using reinforcement learning | en |
| dc.type | Thesis | en |