The dating web site Oollama.com requires its users to create profies based on a survey in which they rate their interest (on a scale from 0 to 3 ) in five categories: physical fitness, music, splrituality, education, and alcohol consumption, A new Oollama customer, Erin o'shaughnessy, has reviewed the profiles of 40 prospective dates and classified whether she is interested in learning more about them. Based on Erin's ciassification of these 40 prohiles, Oollama has applied a logistic regresslon to predict Erin's interest in other profiles that she has not yet viewed. The resulting logistic regression model is as follows: Log odds of Interested =0.920+0.325 Fitness 3.611 Music +5.535 Education 2.927 Alcohol For the 40 nrofiles (obseryations) on which Erin classified her interest, this logistic regression model generates that following probability of interested. (a) Using a cutoff value of 0.5 to classify a profile observation as Interested or not, construct the confusion matrix for this 40 -observation training set: Compute sensitivity, specificity, and precision measures and interpret them within the context of Erin's dating prospects. If required, round your answers to two decimal places. Do not round intermediate calculations. The sensitivity of the model is This suggests that the model is reasonably that Erin is interested in. at identifying the profiles The specificity of the model is - This suggests that the model is reasonably profiles to Eirin that she will not be interested in. at avoiding recommending The precision of the model is This suggests that the model is reasonably Interest to Erin. interest to erin. b) Oollama understands that its clients have a limited amount of time for dating and therefore use decile-wise lift charts to evaluate their classification models. For the training data, what is the first decie lift resulting from the logistic regression model? Interpret this value. The first decile lift of this classification is It means that the first decile of the logistic regression model the number of profiles that Erin is interested in versus random selection. (c) A recently posted profile has values of Fitness =3, Music =1, Education =3, and Alcohol =1. Use the estimated logistic regression equation to compute the probability of Erin's interest in this profile. If required, round your answers to three decimal places. Do not round intermediate calculations. log odds = Probability of Interest = (d) Now that Oonama has trained a logistic regression modet based on Erin's instial evaluations of 40 profles, what should its next steps be in the modeling process? Oollama should use their model to suggest profiles to Erin in order to compute classification accuracy measures on a vatidation set. The dating web site Oollama.com requires its users to create profies based on a survey in which they rate their interest (on a scale from 0 to 3 ) in five categories: physical fitness, music, splrituality, education, and alcohol consumption, A new Oollama customer, Erin o'shaughnessy, has reviewed the profiles of 40 prospective dates and classified whether she is interested in learning more about them. Based on Erin's ciassification of these 40 prohiles, Oollama has applied a logistic regresslon to predict Erin's interest in other profiles that she has not yet viewed. The resulting logistic regression model is as follows: Log odds of Interested =0.920+0.325 Fitness 3.611 Music +5.535 Education 2.927 Alcohol For the 40 nrofiles (obseryations) on which Erin classified her interest, this logistic regression model generates that following probability of interested. (a) Using a cutoff value of 0.5 to classify a profile observation as Interested or not, construct the confusion matrix for this 40 -observation training set: Compute sensitivity, specificity, and precision measures and interpret them within the context of Erin's dating prospects. If required, round your answers to two decimal places. Do not round intermediate calculations. The sensitivity of the model is This suggests that the model is reasonably that Erin is interested in. at identifying the profiles The specificity of the model is - This suggests that the model is reasonably profiles to Eirin that she will not be interested in. at avoiding recommending The precision of the model is This suggests that the model is reasonably Interest to Erin. interest to erin. b) Oollama understands that its clients have a limited amount of time for dating and therefore use decile-wise lift charts to evaluate their classification models. For the training data, what is the first decie lift resulting from the logistic regression model? Interpret this value. The first decile lift of this classification is It means that the first decile of the logistic regression model the number of profiles that Erin is interested in versus random selection. (c) A recently posted profile has values of Fitness =3, Music =1, Education =3, and Alcohol =1. Use the estimated logistic regression equation to compute the probability of Erin's interest in this profile. If required, round your answers to three decimal places. Do not round intermediate calculations. log odds = Probability of Interest = (d) Now that Oonama has trained a logistic regression modet based on Erin's instial evaluations of 40 profles, what should its next steps be in the modeling process? Oollama should use their model to suggest profiles to Erin in order to compute classification accuracy measures on a vatidation set
