The dating web site Oollama.com requires its users to create profiles based on a survey in which they rate their interest (on a scale from 0 to 3) in five categories: physical fitness, music, spirituality, 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 classification of these 40 profiles, Oollama has applied a logistic regression to predict Erin's interest in other profiles that she has not yet viewed. The resulting logistic regression model is as follows:

For the 40 profiles (observations) on which Erin classified her interest, this logistic regression model generates that following probability of Interested.

Probability of Probability of

Observation Interested Interested Observation Interested Interested

35 1 1.000 13 0 0.412

21 1 0.999 2 0 0.285

29 1 0.999 3 0 0.219

25 1 0.999 7 0 0.168

39 1 0.999 9 0 0.168

26 1 0.990 12 0 0.168

23 1 0.981 18 0 0.168

33 1 0.974 22 1 0.168

1 0 0.882 31 1 0.168

24 1 0.882 6 0 0.128

28 1 0.882 20 0 0.128

36 1 0.882 15 0 0.029

16 0 0.791 5 0 0.020

27 1 0.791 14 0 0.015

30 1 0.791 19 0 0.011

32 1 0.791 8 0 0.008

34 1 0.791 10 0 0.001

37 1 0.791 17 0 0.001

40 1 0.791 4 0 0.001

38 1 0.732 11 0 0.000

(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.

Predicted

Actual 0 1

0

1

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  at identifying the profiles that Erin is interested in.

The specificity of the model is  . This suggests that the model is reasonably  at avoiding recommending profiles to Erin that she will not be interested in.

The precision of the model is  . This suggests that the model is reasonably  at suggesting profiles of 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 decile 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 Oollama has trained a logistic regression model based on Erin's initial evaluations of 40 profiles, 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 validation set.

Transcribed Image Text:The dating web site Oollama.com requires its users to create profiles based on a survey in which they rate their interest (on a scale from 0 to 3) in five categories: physical fitness, music, spirituality, 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 classification of these 40 profiles, Oollama has applied a logistic regression 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 x Fitness - 3.611 x Music +5.535 x Education - 2.927 x Alcohol For the 40 profiles (observations) on which Erin classified her interest, this logistic regression model generates that following probability of Interested. Probability of Interested 1.000 0.999 0.999 0.999 0.999 0.990 0.981 0.974 0.882 0.882 0.882 0.882 0.791 0.791 0.791 0.791 0.791 0.791 0.791 0.732 Observation 35 21 29 25 39 26 23 33 1 24 28 36 16 27 30 32 34 37 40 38 Actual 0 Interested 1 1 1 1 1 1 1 1 0 1 1 1 0 1 1 1 1 1 1 1 1 0 Predicted 1 Observation 13 2 3 7 9 12 18 22 31 6 20 15 5 14 19 8 10 17 4 11 The first decile lift of this classification is Interested 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 (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. 0 0 0 Probability of Interested 0.412 0.285 0.219 0.168 0.168 0.168 0.168 0.168 0.168 0.128 0.128 0.029 0.020 0.015 0.011 0.008 0.001 0.001 0.001 0.000 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 The specificity of the model is This suggests that the model is reasonably This suggests that the model is reasonably This suggests that the model is reasonably The precision of the model is. Select your answer - Select your answer Select your answer (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 decile lift resulting from the logistic regression model? Interpret this value. at identifying the profiles that Erin is interested in. at avoiding recommending profiles to Erin that she will not be interested in. at suggesting profiles of interest to Erin. It means that the first decile of the logistic regression model Select your answer the number of profiles that Erin is interested in versus random selection. If required, round your answers to three decimal places. Do not round intermediate calculations. Log odds = Probability of Interest = (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.

Question

The dating web site Oollama.com requires its users to create profiles based on a survey in which they rate their interest (on a scale from 0 to 3) in five categories: physical fitness, music, spirituality, 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 classification of these 40 profiles, Oollama has applied a logistic regression to predict Erin's interest in other profiles that she has not yet viewed. The resulting logistic regression model is as follows:

For the 40 profiles (observations) on which Erin classified her interest, this logistic regression model generates that following probability of Interested.

		Probability of			Probability of
Observation	Interested	Interested	Observation	Interested	Interested
35		1	1.000	13		0	0.412
21		1	0.999	2		0	0.285
29		1	0.999	3		0	0.219
25		1	0.999	7		0	0.168
39		1	0.999	9		0	0.168
26		1	0.990	12		0	0.168
23		1	0.981	18		0	0.168
33		1	0.974	22		1	0.168
1		0	0.882	31		1	0.168
24		1	0.882	6		0	0.128
28		1	0.882	20		0	0.128
36		1	0.882	15		0	0.029
16		0	0.791	5		0	0.020
27		1	0.791	14		0	0.015
30		1	0.791	19		0	0.011
32		1	0.791	8		0	0.008
34		1	0.791	10		0	0.001
37		1	0.791	17		0	0.001
40		1	0.791	4		0	0.001
38		1	0.732	11		0	0.000

(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.

	Predicted
Actual	0	1
0
1

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 at identifying the profiles that Erin is interested in.

The specificity of the model is . This suggests that the model is reasonably at avoiding recommending profiles to Erin that she will not be interested in.

The precision of the model is . This suggests that the model is reasonably at suggesting profiles of 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 decile 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 Oollama has trained a logistic regression model based on Erin's initial evaluations of 40 profiles, 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 validation set.

Transcribed Image Text:The dating web site Oollama.com requires its users to create profiles based on a survey in which they rate their interest (on a scale from 0 to 3) in five categories: physical fitness, music, spirituality, 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 classification of these 40 profiles, Oollama has applied a logistic regression 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 x Fitness - 3.611 x Music +5.535 x Education - 2.927 x Alcohol For the 40 profiles (observations) on which Erin classified her interest, this logistic regression model generates that following probability of Interested. Probability of Interested 1.000 0.999 0.999 0.999 0.999 0.990 0.981 0.974 0.882 0.882 0.882 0.882 0.791 0.791 0.791 0.791 0.791 0.791 0.791 0.732 Observation 35 21 29 25 39 26 23 33 1 24 28 36 16 27 30 32 34 37 40 38 Actual 0 Interested 1 1 1 1 1 1 1 1 0 1 1 1 0 1 1 1 1 1 1 1 1 0 Predicted 1 Observation 13 2 3 7 9 12 18 22 31 6 20 15 5 14 19 8 10 17 4 11 The first decile lift of this classification is Interested 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 (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. 0 0 0 Probability of Interested 0.412 0.285 0.219 0.168 0.168 0.168 0.168 0.168 0.168 0.128 0.128 0.029 0.020 0.015 0.011 0.008 0.001 0.001 0.001 0.000 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 The specificity of the model is This suggests that the model is reasonably This suggests that the model is reasonably This suggests that the model is reasonably The precision of the model is. Select your answer - Select your answer Select your answer (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 decile lift resulting from the logistic regression model? Interpret this value. at identifying the profiles that Erin is interested in. at avoiding recommending profiles to Erin that she will not be interested in. at suggesting profiles of interest to Erin. It means that the first decile of the logistic regression model Select your answer the number of profiles that Erin is interested in versus random selection. If required, round your answers to three decimal places. Do not round intermediate calculations. Log odds = Probability of Interest = (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.

Accepted Answer

Given Information:
Consider the given logistic regression model that generates the following…