dolution

What departments are items purchased from most frequently (individually and in combination)?

What departments do females purchase from most frequently (individually and in combination)?

What departments do males purchase from most frequently (individually and in combination)?

What departments do 20 to 30 year-olds purchase from most frequently (individually and in combination)?

What departments do 40 to 50 year-olds purchase from most frequently (individually and in combination)?

What departments do 60 to 70 year-olds purchase from most frequently (individually and in combination)?

Best rules found for ALL customer transactions:

1. butchershop=Y papergoods=Y 548 ==> deli=Y 524 lift:(1.16) lev:(0.07) [71] conv:(3.84) 2. bakery=Y cannedgoods=Y 551 ==> deli=Y 523 lift:(1.15) lev:(0.07) [68] conv:(3.32) 3. butchershop=Y cannedgoods=Y 550 ==> deli=Y 521 lift:(1.15) lev:(0.07) [67] conv:(3.21) 4. fruits&vegs=Y bakery=Y 577 ==> deli=Y 545 lift:(1.14) lev:(0.07) [68] conv:(3.06) 5. cannedgoods=Y papergoods=Y 552 ==> deli=Y 521 lift:(1.14) lev:(0.07) [65] conv:(3.02) 6. papergoods=Y 646 ==> deli=Y 609 lift:(1.14) lev:(0.08) [76] conv:(2.98) 7. bakery=Y cannedgoods=Y 551 ==> fruits&vegs=Y 519 lift:(1.36) lev:(0.14) [136] conv:(5.09) 8. bakery=Y 729 ==> deli=Y 686 lift:(1.14) lev:(0.08) [84] conv:(2.9) 9. fishmkt=Y papergoods=Y 535 ==> deli=Y 503 lift:(1.14) lev:(0.06) [61] conv:(2.84) 10. bakery=Y health&beauty=Y 601 ==> deli=Y 562 lift:(1.13) lev:(0.07) [66] conv:(2.63) Best rules found for Male customers transactions: 1. deli=Y 297 ==> gender=M 297 lift:(1) lev:(0) [0] conv:(0) 2. beerbar=Y 264 ==> gender=M 264 lift:(1) lev:(0) [0] conv:(0) 3. deli=Y beerbar=Y 252 ==> gender=M 252 lift:(1) lev:(0) [0] conv:(0) 4. bakery=Y 237 ==> gender=M 237 lift:(1) lev:(0) [0] conv:(0) 5. deli=Y bakery=Y 227 ==> gender=M 227 lift:(1) lev:(0) [0] conv:(0) 6. bakery=Y 237 ==> deli=Y 227 lift:(1.01) lev:(0.01) [2] conv:(1.17) 7. gender=M bakery=Y 237 ==> deli=Y 227 lift:(1.01) lev:(0.01) [2] conv:(1.17) 8. bakery=Y 237 ==> gender=M deli=Y 227 lift:(1.01) lev:(0.01) [2] conv:(1.17) 9. beerbar=Y 264 ==> deli=Y 252 lift:(1.01) lev:(0.01) [2] conv:(1.1) 10. gender=M beerbar=Y 264 ==> deli=Y 252 lift:(1.01) lev:(0.01) [2] conv:(1.1) Best rules found for Female customers transactions: 1. fishmkt=Y 653 ==> gender=F 653 lift:(1) lev:(0) [0] conv:(0) 2. health&beauty=Y 586 ==> gender=F 586 lift:(1) lev:(0) [0] conv:(0) 3. fruits&vegs=Y 577 ==> gender=F 577 lift:(1) lev:(0) [0] conv:(0) 4. cannedgoods=Y 577 ==> gender=F 577 lift:(1) lev:(0) [0] conv:(0) 5. fishmkt=Y health&beauty=Y 558 ==> gender=F 558 lift:(1) lev:(0) [0] conv:(0) 6. fruits&vegs=Y fishmkt=Y 549 ==> gender=F 549 lift:(1) lev:(0) [0] conv:(0) 7. health&beauty=Y 586 ==> fishmkt=Y 558 lift:(1) lev:(0) [0] conv:(0.97) 8. gender=F health&beauty=Y 586 ==> fishmkt=Y 558 lift:(1) lev:(0) [0] conv:(0.97) 9. health&beauty=Y 586 ==> gender=F fishmkt=Y 558 lift:(1) lev:(0) [0] conv:(0.97) 10. gender=F 686 ==> fishmkt=Y 653 lift:(1) lev:(0) [0] conv:(0.97) Best rules found for 20–30-year-olds customer transactions: 1. deli=Y 246 ==> agegrp=2030s 246 lift:(1) lev:(0) [0] conv:(0) 2. fishmkt=Y 220 ==> agegrp=2030s 220 lift:(1) lev:(0) [0] conv:(0) 3. milk&dairy=Y 210 ==> agegrp=2030s 210 lift:(1) lev:(0) [0] conv:(0) 4. deli=Y fishmkt=Y 210 ==> agegrp=2030s 210 lift:(1) lev:(0) [0] conv:(0) 5. beerbar=Y 209 ==> agegrp=2030s 209 lift:(1) lev:(0) [0] conv:(0) 6. cheeseshop=Y 206 ==> agegrp=2030s 206 lift:(1) lev:(0) [0] conv:(0) 7. agegrp=2030s 257 ==> deli=Y 246 lift:(1) lev:(0) [0] conv:(0.92) 8. fishmkt=Y 220 ==> deli=Y 210 lift:(1) lev:(-0) [0] conv:(0.86) 9. agegrp=2030s fishmkt=Y 220 ==> deli=Y 210 lift:(1) lev:(-0) [0] conv:(0.86) 10. fishmkt=Y 220 ==> agegrp=2030s deli=Y 210 lift:(1) lev:(-0) [0] conv:(0.86) Best rules found for 40-50-year-olds customer transactions: 1. cannedgoods=Y 237 ==> agegrp=4050s 237 lift:(1) lev:(0) [0] conv:(0) 2. fruits&vegs=Y 234 ==> agegrp=4050s 234 lift:(1) lev:(0) [0] conv:(0) 3. coffeeshop=Y 231 ==> agegrp=4050s 231 lift:(1) lev:(0) [0] conv:(0) 4. fruits&vegs=Y cannedgoods=Y 223 ==> agegrp=4050s 223 lift:(1) lev:(0) [0] conv:(0) 5. cannedgoods=Y coffeeshop=Y 221 ==> agegrp=4050s 221 lift:(1) lev:(0) [0] conv:(0) 6. fruits&vegs=Y coffeeshop=Y 217 ==> agegrp=4050s 217 lift:(1) lev:(0) [0] conv:(0) 7. winecellar=Y 212 ==> agegrp=4050s 212 lift:(1) lev:(0) [0] conv:(0) 8. coffeeshop=Y 231 ==> cannedgoods=Y 221 lift:(1.01) lev:(0) [1] conv:(1.01) 9. agegrp=4050s coffeeshop=Y 231 ==> cannedgoods=Y 221 lift:(1.01) lev:(0) [1] conv:(1.01) 10. coffeeshop=Y 231 ==> agegrp=4050s cannedgoods=Y 221 lift:(1.01) lev:(0) [1] conv:(1.01) Best rules found for 60–70-year-olds customer transactions: 1. health&beauty=Y 430 ==> agegrp=6070s 430 lift:(1) lev:(0) [0] conv:(0) 2. deli=Y 380 ==> agegrp=6070s 380 lift:(1) lev:(0) [0] conv:(0) 3. winecellar=Y 380 ==> agegrp=6070s 380 lift:(1) lev:(0) [0] conv:(0) 4. bakery=Y 372 ==> agegrp=6070s 372 lift:(1) lev:(0) [0] conv:(0) 5. winecellar=Y health&beauty=Y 360 ==> agegrp=6070s 360 lift:(1) lev:(0) [0] conv:(0) 6. deli=Y bakery=Y 349 ==> agegrp=6070s 349 lift:(1) lev:(0) [0] conv:(0) 7. winecellar=Y 380 ==> health&beauty=Y 360 lift:(1.09) lev:(0.06) [29] conv:(2.34) 8. agegrp=6070s winecellar=Y 380 ==> health&beauty=Y 360 lift:(1.09) lev:(0.06) [29] conv:(2.34) 9. winecellar=Y 380 ==> agegrp=6070s health&beauty=Y 360 lift:(1.09) lev:(0.06) [29] conv:(2.34) 10. bakery=Y 372 ==> deli=Y 349 lift:(1.22) lev:(0.13) [62] conv:(3.58)