Timeline for Creating a logistic regression when only having data points corresponding to True (using ML)
Current License: CC BY-SA 4.0
14 events
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| Dec 24, 2021 at 18:02 | comment | added | kjetil b halvorsen♦ | Similar posts: stats.stackexchange.com/questions/149290/…, stats.stackexchange.com/questions/365582/…, stats.stackexchange.com/questions/73078/…, | |
| Dec 24, 2021 at 17:02 | history | bumped | CommunityBot | This question has answers that may be good or bad; the system has marked it active so that they can be reviewed. | |
| Jan 10, 2020 at 12:34 | answer | added | Peter Flom | timeline score: 1 | |
| Jan 9, 2020 at 14:20 | review | Close votes | |||
| Jan 10, 2020 at 12:17 | |||||
| Dec 20, 2019 at 16:12 | comment | added | 9mat | @Anthony From a frequentist point of view, if all the guys you observed were approved of the loan, the best guess is that the next guy will be approved as well. Unless you take the Bayesian approach and have some prior belief about the population, then you can compare the prior belief about the population with the observed approval rate to draw some non-trivial inference. Otherwise,, the best guess from 100% approval rate will be always approved. | |
| Dec 20, 2019 at 11:05 | review | Close votes | |||
| Dec 21, 2019 at 13:24 | |||||
| Dec 18, 2019 at 18:04 | comment | added | Nick Cox | You could try recasting the question in Bayesian terms, but this seems like an occult problem to me. | |
| Dec 18, 2019 at 17:46 | history | migrated | from stackoverflow.com (revisions) | ||
| Dec 18, 2019 at 17:41 | comment | added | Anthony | @NickCox my question is more like "I only have data where a guy applied for a loan and was approved. What is the probability that the next loan application is approved?" which seems like an answerable question | |
| Dec 18, 2019 at 17:27 | comment | added | Nick Cox | This isn't on all fours with "I tossed my coin and got heads every time. What's the probability of that?" That is an answerable question if you tell us the number of tosses and postulate a fair coin. Your question is more like "My coin is likely biased and I get heads every time. What is the probability of that?", which is unanswerable beyond saying that the data imply probability 1 (knowing other variables is irrelevant). | |
| Dec 18, 2019 at 16:46 | comment | added | Anthony | That is sorta similar to the premise of my question but I don't really have unlabeled data. I just have positive data and want to say "If I gave this new data point vector these values, what is the probability that it would correspond to True?" | |
| Dec 18, 2019 at 16:42 | comment | added | user2160809 | Does this answer your question? Binary semi-supervised classification with positive only and unlabeled data set | |
| Dec 18, 2019 at 16:41 | comment | added | Nick Cox | It is easy to try. If all observed responses are 1 (more generally, non-zero and not missing) Stata declines to try to fit a logistic regression. Otherwise this hinges on what is an arbitrary data vector, and I have no idea what that means in Stata terms. | |
| Dec 18, 2019 at 16:34 | history | asked | Anthony | CC BY-SA 4.0 |