(1) Refer to Figure 1
Julie Miller, a manager at the health tech company, Wellness
short means night sleep < 12 hours, and long means night sleep >= 12 hours)
Which data mining method would be best suited to predict the length of night sleep (numerical) using the variables 1,2,3
(21)According to the American Academy of Pediatrics, toddlers (i.e., 12 to 36 months ) need plenty of sleep during the night. However, studies show that many toddlers struggle and resist sleeping through the night. Dr. Capan has a 22-month-old toddler whose night sleep is rather difficult to predict. To analyze her toddler's sleep, she collects daily data including
:• (1)day of the week (categorical, where the categories are: Monday,..., Sunday),
• length of mid-day nap (numerical, in Minutes),
• (3)type of snacks eaten b4 bed (categorical where the categories are: fruit, yoghurt, etc,
• (2)length of night sleep (numerical, in hours)
• night sleep category (binary, takes values 0=short or 1=long --> short means night sleep < 12 hours, and long means night sleep >= 12 hours)
Which data mining method would be best to predict the length of night sleep using the previous nights' length of night sleep in t
(22)According to the American Academy of Pediatrics, toddlers (i.e., 12 to 36 months ) need plenty of sleep during the night. However, studies show that many toddlers struggle and resist sleeping through the night. Dr. Capan has a 22-month-old toddler whose night sleep is rather difficult to predict. To analyze her toddler's sleep, she collects daily data including
:• (1)day of the week (categorical, where the categories are: Monday,..., Sunday),
• (4)length of mid-day nap (numerical, in Minutes),
• (3)type of snacks eaten b4 bed (categorical where the categories are: fruit, yoghurt, etc,
• (2)length of night sleep (numerical, in hours)
• (5)night sleep category (binary, takes values 0=short or 1=long --> short means night sleep < 12 hours, and long means night sleep >= 12 hours)
Which data mining method would be best to predict the night sleep category using the variables: 1, 4, 3
(23)According to the American Academy of Pediatrics, toddlers (i.e., 12 to 36 months ) need plenty of sleep during the night. However, studies show that many toddlers struggle and resist sleeping through the night. Dr. Capan has a 22-month-old toddler whose night sleep is rather difficult to predict. To analyze her toddler's sleep, she collects daily data including
:• (1)day of the week (categorical, where the categories are: Monday,..., Sunday),
• (4)length of mid-day nap (numerical, in Minutes),
• (3)type of snacks eaten b4 bed (categorical where the categories are: fruit, yoghurt, etc,
• (2)length of night sleep (numerical, in hours)
• (5)night sleep category (binary, takes values 0=short or 1=long --> short means night sleep < 12 hours, and long means night sleep >= 12 hours)
Which data mining method would be best suited to find out which days (categorical) and night sleep categories (binary) are fr
(24)Consider the following dataset in Figure 7 that an analytics team at Netflix collected from 10 customers including information about the viewers and their content consumption choices.
Figure 7. Netflix data where 1=yes, and 0=no
.What is the support, P(X&Y), for the rule X ⇒ Y where X represents Female and Y represents Watched Breaking Bad= 1?
(25)Consider the following dataset in Figure 7 that an analytics team at Netflix collected from 10 customers including information about the viewers and their content consumption choices.
Figure 7. Netflix data where 1=yes, and 0=no
What is the support, P(X&Y), for the rule X ⇒ Y where X represents Married and Y represents Watched Breaking Bad = 1?
(26)Consider the following dataset in Figure 7 that an analytics team at Netflix collected from 10 customers including information about the viewers and their content consumption choices.
Figure 7. Netflix data where 1=yes, and 0=no
What is the confidence, P(Y|X), for the rule X ⇒ Y where X represents Watched Breaking Bad = 1 and Y represents Watched Ozark = 0?
(27)Consider the following dataset in Figure 7 that an analytics team at Netflix collected from 10 customers including information about the viewers and their content consumption choices.
Figure 7. Netflix data where 1=yes, and 0=no
What is the confidence, P(Y|X), for the rule X ⇒ Y where X represents Single and Y represents Watched Breaking Bad = 1?
(28)Assume there are 4 customers (Kristen, Dennis, Ben and Ross), and we want to develop a hierarchical clustering model to group the customers into clusters. The input variables used in this clustering model to calculate the distance values are: how much the individual spent for grocery shopping in winter 2020 (measured in $) and how much the individual spent for grocery shopping in summer 2020 (measured in $).Euclidean distance values (measured in $) between all pairs of customers are given in Table 1 below. For example, the Euclidean distance between Dennis and Ben is $360.
Figure 8 :Distance values between all customer pairs
Based on the distance values in Figure 8, the first cluster in a hierarchical clustering model will include:
(29)Assume there are 4 customers (Kristen, Dennis, Ben and Ross), and we want to develop a hierarchical clustering model to group the customers into clusters. The input variables used in this clustering model to calculate the distance values are: how much the individual spent for grocery shopping in winter 2020 (measured in $) and how much the individual spent for grocery shopping in summer 2020 (measured in $).Euclidean distance values (measured in $) between all pairs of customers are given in Table 1 below. For example, the Euclidean distance between Dennis and Ben is $360.
Figure 8 :Distance values between all customer pairs
Using the single linkage criteria, after creating the first cluster, the next step would be:
(30)Assume a two-class classification model is developed to classify hospitalized patients as "healthy" (referred as positive) and "sick" (referred as negative). When the model is applied to 200 new patients to classify them as healthy or sick, and predicted class for each patient (healthy / sick) is compared to the actual/observed class (healthy / sick).
Figure 9 shows the model evaluation results.
What is the false positive (FP) count?-->
Path, oversees two departments in the wearables business line: Product Development (referred as Department 1), and Product Testing (referred as Department 2). Both departments focus on bringing impactful products to the market that provide a (3)competitive advantage due to their design features and interoperability with other devices. Table 1 below shows selected descriptive statistics for age in Department 1 and
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