dassifed whether she is interested in leaming more about them. fesulting logistic regression model is as followet Log odds of Interested \( =-0.920+0.325 \times \) Fitness \( -3.611 \times \) Meric \( +5.535 \times \) Bducatlon \( -2.927 \times \) Aloobol
a) Using a cutoff value of \( 0.5 \) to dassify a profile observation as Imterested or not, construct the confusion matroc for this 40 iobservation training set. Compute sensitivity, speclicity, and precision measures and interpret them within the context of Erin's dating prospects. If required, round your aniswers to two decimal places. Do not round intermediate calculations. -The sensitivity of the model is . This suggests that the model is reasonably interested in. The speciicity of the model is that she will not be interested in. The precision of the model is (b) Oollama understands that its dients have a limited amount of tome for dating and therefore use decle-wise fit charts to evaluste their dassificabon models. For the trainang data, what is the first decile lift resulting from the logistic regression model? Interpret this value. The first decule lift of this classificationi is It means that the first decile of the iogistic regression model the number of probles that Erin is interested in versus tandom selection:
that she will not be interested in. The precasion of the model is This suggests that the model is reasanably at suggesting ptofles of interest to Erin b) Oollama understands that its clients have a fimited amount of time for dating and therefore use decile wise lift charts to evaloate their classification modeis. For the training data, what is thie first decile lift resulting from the logistic regression model? Interpret this value. The first decile lift of this classification is Wif means that the first deale of the logistic regression model the number of profles that Erin is interested in versus random selection. (c) A recently posted prolle has vilues of Fithess = 2, Music = 1, Educibion =2, and Acohol = 1. Use the estimated logistic regression equation to compute the probability of Erin's interest in this profle. If required, round your answers to three decimal places, Do not round intemediate calculations. \( \log \) odds \( = \) Probabilaty of lsitecest \( = \) (d) Now that Ooliama has trained a logistic regression model based on Erin's inital evaluations of 40 profiles, what should ins next steps be in the modeling process? Dollama should use their model to soggest profiles to Enin in order to compute clascification accuracy measures on a validation set.