An analyst working for a large hotel chain has been given a data set of 2,000 customer complaints relating to some of its hotels. The data relates to complaints about different aspects of service at various hotels of the chain. The analyst performed pre-processing on the dataset to obtain the frequency of complaint occurrences as listed in the table below:

Items co-occurring in same customer feedback records	Raw frequency of occurrences
No parking	320
Not clean	200
Not clean AND Not friendly	160
Not clean AND Not friendly AND No parking	35
Bad customer service	235
Bad transport AND Bad customer service	55
Bad customer service AND Not clean	155
Not friendly	300
No parking AND Bad customer service	195

1. Given the occurrences in the table, Bad Transport---> Bad Customer Service does the association rulerepresent a correct and significant association rule? Justify answer.

Marks: 6

1. Givencalculate the Lift of the association rule. Based on your calculation of its Lift, is this association rule significant? Justify answer.

Marks: 8

1. Given the occurrences in the table, what additional pre-processing (if any) would be required to calculate Lift for the association rule. Explain answer.

Marks: 6