Which of the following is TRUE based on the association rule output above? Check all that apply. One product placement recommendation is to place the genre Romance in close proximity to Comedy. The support of a single-item set (i.e., N Items =1) is always higher than a multiple-item set (i.e., N Items > 1). All the rules are better than random guesses. The rule that has a highest lift means that it also has the highest confidence. A rule can have more than one item in its IF item-set. Open the positive tweet JMP table. Note that it contains one column of text data about passengers' positive comments on their flight experience using Tweeter. Perform text mining on the tweets using the following settings in JMP Pro: - Set "Minimum Characters per Word" to 4 - Set Stemming drop-down to "Stem All Items" - Set Tokenizing drop-down to "Basic Words" - Add all terms with counts of 1 as "Stop Words" - Add "https." and "much." as "Stop Words" - Add these phrases to "Term": "business class", "cabin crew", "customer service", "satisfied w the service", "service i was provided" - Recode "airfranc.", "franc." as "airfrance" - Recode "cabin crew", "crew", "pilot", "staff" as "staff" - Recode "custom.", "custom. servic.", "satisfied w the service", "servic." as "service" Complete the following statements by filling in the blanks with the appropriate word and/or integer: 1. The number of terms analyzed is 2. The number of cases analyzed is 3. The most frequently mentioned term is with a count of 4. "Servic." is among the top 10 most frequently mentioned term with a count of 5. has the same count as "Servic.". Which of the following is TRUE based on the association rule output above? Check all that apply. One product placement recommendation is to place the genre Romance in close proximity to Comedy. The support of a single-item set (i.e., N Items =1) is always higher than a multiple-item set (i.e., N Items > 1). All the rules are better than random guesses. The rule that has a highest lift means that it also has the highest confidence. A rule can have more than one item in its IF item-set. Open the positive tweet JMP table. Note that it contains one column of text data about passengers' positive comments on their flight experience using Tweeter. Perform text mining on the tweets using the following settings in JMP Pro: - Set "Minimum Characters per Word" to 4 - Set Stemming drop-down to "Stem All Items" - Set Tokenizing drop-down to "Basic Words" - Add all terms with counts of 1 as "Stop Words" - Add "https." and "much." as "Stop Words" - Add these phrases to "Term": "business class", "cabin crew", "customer service", "satisfied w the service", "service i was provided" - Recode "airfranc.", "franc." as "airfrance" - Recode "cabin crew", "crew", "pilot", "staff" as "staff" - Recode "custom.", "custom. servic.", "satisfied w the service", "servic." as "service" Complete the following statements by filling in the blanks with the appropriate word and/or integer: 1. The number of terms analyzed is 2. The number of cases analyzed is 3. The most frequently mentioned term is with a count of 4. "Servic." is among the top 10 most frequently mentioned term with a count of 5. has the same count as "Servic
