I am calling lion.






age=D interest=INVESTMENTS 394 ==> gender=M 329    conf:(0.84)
age=F interest=COMPUTERS_INTERNET 491 ==> gender=M 390    conf:(0.79)

age=C interest=PROGRAMMING_LANGUAGES 1912 ==> gender=M 1715    conf:(0.9)

age=C interest=JAVA 342 ==> gender=M 309    conf:(0.9)

age=B interest=JAVA 744 ==> gender=M 669    conf:(0.9)

age=C interest=LINUX 456 ==> gender=M 439    conf:(0.96)

age=D interest=LINUX 163 ==> gender=M 154    conf:(0.94)

age=C interest=DATING 1377 ==> gender=M 1030    conf:(0.75)

age=A interest=ACTORS_AND_ACTRESSES 19867 ==> gender=F 15346    conf:(0.77)

age=A interest=BOOKS_AND_WRITING 10417 ==> gender=F 8079    

age=A interest=SHOWS 9815 ==> gender=F 7186    conf:(0.73)
age=A interest=POETRY 1365 ==> gender=F 1103    conf:(0.81)

age=A interest=O_TOWN 204 ==> gender=F 192    

age=A interest=POPSTARS 51 ==> gender=F 43    conf:(0.84)

age=A interest=ROWLING_JK 116 ==> gender=F 83    conf:(0.72)

age=A interest=EDENS_CRUSH 28 ==> gender=F 25    conf:(0.89)

age=A interest=BUFFY_AND_ANGEL 75 ==> gender=F 57    conf:(0.76)

age=B interest=JEDI 21 ==> gender=M 16    conf:(0.76)

age=B interest=PARENTING 2280 ==> gender=F 2066    conf:(0.91)


Lower confidence rules are also okay, depending on the choices.

There are 16 age groups.  So, if I compute an age group
with a confidence over 17% that is a good result.

Of course this ignores prior probabilities.

gender=F interest=HOME_AND_GARDEN 3737 ==> age=D 1084    conf:(0.29)

And there are 12 choices for age gender combinations, so it should
be 8.5%:

interest=HOME_AND_GARDEN 5721 ==> age=C gender=F 1155    conf:(0.2)
interest=HOME_AND_GARDEN 5721 ==> age=D gender=F 1084    conf:(0.19)


For C&D it should then be 17% but it is 39%!


age=C interest=COMPUTER_VIDEO_GAMES 1332 ==> gender=M 984    conf:(0.74)

age=B interest=DUNGEONS_AND_DRAGONS 232 ==> gender=M 173    conf:(0.75)

gender=F interest=ANTIPOKEMON 37 ==> age=A 32    conf:(0.86)


age=D interest=MILITARY 130 ==> gender=M 113    conf:(0.87)

age=B interest=YOGA 358 ==> gender=F 238    conf:(0.66)

age=C interest=CRAFTS 961 ==> gender=F 837    conf:(0.87)
age=D interest=CRAFTS 904 ==> gender=F 769    conf:(0.85)
age=B interest=CRAFTS 802 ==> gender=F 674    conf:(0.84)


age=B interest=BEER 297 ==> gender=M 196    conf:(0.66)

age=A interest=ROCK_AND_POP 49876 ==> gender=F 37918    conf:(0.76)
age=C interest=ROCK_AND_POP 9955 ==> gender=M 6199    conf:(0.62)


age=B interest=THRASH_METAL 99 ==> gender=M 80    conf:(0.81)

age=A interest=SPEARS_BRITNEY 139 ==> gender=F 128    conf:(0.92)

age=A interest=TIMBERLAKE_JUSTIN 55 ==> gender=F 50    conf:(0.91)


Surprise:
age=A interest=MARILYN_MANSON 187 ==> gender=F 150    conf:(0.8)

age=C interest=AUTOMOTIVE 4337 ==> gender=M 3183    conf:(0.73)

age=B interest=MARTIAL_ARTS 983 ==> gender=M 733    conf:(0.75)
age=B interest=IRAN 1868 ==> gender=M 1414    conf:(0.76)

age=B interest=FARSI 941 ==> gender=M 708    conf:(0.75)
age=A interest=SPANISH 284 ==> gender=F 190    conf:(0.67)

age=C interest=MARRIED_AND_FLIRTING 1773 ==> gender=M 1234    conf:(0.7)


age=D interest=COLLEGES_AND_UNIVERSITIES 154 ==> gender=M 111    conf:(0.72)

age=A interest=BIOLOGY 3368 ==> gender=F 2663    conf:(0.79)
age=B interest=COMPUTER_SCIENCE 1404 ==> gender=M 1121    conf:(0.8)