Timeline for How can psychometric or behavioural tests be used in banking to evaluate creditworthiness?
Current License: CC BY-SA 3.0
12 events
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| Oct 16, 2018 at 6:06 | comment | added | Roman | AUC (area under the curve) is not a common metric of credit score predictive power. It is a plot of the true positive rate (recall) vs. false positive rate (false alarm) in statistical analysis. 60% is slightly better than a monkey choosing a random outcome. | |
| Aug 1, 2015 at 7:32 | comment | added | BCLC | Right thanks, MariaAnt. I actually encountered a few of these but didn't think to make of use of them. I guess you are a brilliant and experienced researcher, particularly in resourcefulness and interpretation. | |
| Aug 1, 2015 at 7:22 | comment | added | user7759 | It just means that I believe that it would be good to maintain a health dose of skepticism, even if the concept seems to make much sense. | |
| Aug 1, 2015 at 6:42 | comment | added | BCLC | Have +50. Is taking something with a grain of salt doing the opposite of falling victim to confirmation bias, survivorship bias, etc? | |
| Aug 1, 2015 at 6:37 | history | bounty ended | BCLC | ||
| Aug 1, 2015 at 6:37 | vote | accept | BCLC | ||
| Jul 30, 2015 at 16:34 | history | edited | user7759 | CC BY-SA 3.0 |
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| Jul 30, 2015 at 15:05 | history | edited | user7759 | CC BY-SA 3.0 |
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| Jul 30, 2015 at 14:34 | history | edited | user7759 | CC BY-SA 3.0 |
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| Jul 30, 2015 at 14:24 | history | edited | user7759 | CC BY-SA 3.0 |
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| Jul 30, 2015 at 12:42 | history | edited | user7759 | CC BY-SA 3.0 |
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| Jul 30, 2015 at 12:33 | history | answered | user7759 | CC BY-SA 3.0 |