tag:blogger.com,1999:blog-5952320191615496730.post6159761580225237332..comments2026-04-16T08:33:01.906+01:00Comments on The Beginner Programmer: Predicting creditability using logistic regression in R: cross validating the classifier (part 2)Michttp://www.blogger.com/profile/18151225177833588981noreply@blogger.comBlogger3125tag:blogger.com,1999:blog-5952320191615496730.post-42933871047766103662019-04-12T19:26:31.262+01:002019-04-12T19:26:31.262+01:00I don&#39;t understand why in your confusion matri...I don&#39;t understand why in your confusion matrix the denominators of both FPR and FNR is the total size of the test set. Is there a reference for that? Your FPR and FNR are systematically smaller than what most references use for denominators, (FP+TN) for FPR and (FN+TP) for FNR.Anonymoushttps://www.blogger.com/profile/03719891232649644329noreply@blogger.comtag:blogger.com,1999:blog-5952320191615496730.post-82539025494111058722017-09-06T20:29:39.554+01:002017-09-06T20:29:39.554+01:00Hi, thanks for reading! The post is a bit old and ...Hi, thanks for reading! The post is a bit old and I&#39;m afraid I don&#39;t remember where the data came from exactly. But if you just need to practice, any data with a binary outcome should be fine to run the script without errors. Of course the results will be very different... I took note for future posts however, whenever possible I publish the source of the data. <br /><br />If you&#39;d like to read something similar, I wrote a tutorial on convolutional neural networks in R with the Olivetti dataset (https://firsttimeprogrammer.blogspot.com/2016/08/image-recognition-tutorial-in-r-using.html).Michttps://www.blogger.com/profile/18151225177833588981noreply@blogger.comtag:blogger.com,1999:blog-5952320191615496730.post-15573137141591621972017-09-06T13:22:03.574+01:002017-09-06T13:22:03.574+01:00Hey, could you please attach the link for the data...Hey, could you please attach the link for the dataset used. It would be more helpful if we can practice the code using the data set you used.aakash bajajhttps://www.blogger.com/profile/13778018412536779914noreply@blogger.com