ec503_project-Expectation–maximization algorithm improvements

http://archive.ics.uci.edu/ml/datasets/Adult

this data set has 2 labels:

1.annual salary is higher or equal to 50k =>50K

2.annual salary is less than 50k <=50K.

this data set has 14 features:

age: continuous.

workclass: Private, Self-emp-not-inc, Self-emp-inc, Federal-gov, Local-gov, State-gov, Without-pay, Never-worked. fnlwgt: continuous.

education: Bachelors, Some-college, 11th, HS-grad, Prof-school, Assoc-acdm, Assoc-voc, 9th, 7th-8th, 12th, Masters, 1st-4th, 10th, Doctorate, 5th-6th, Preschool.

education-num: continuous.

marital-status: Married-civ-spouse, Divorced, Never-married, Separated, Widowed, Married-spouse-absent, Married-AF-spouse.

occupation: Tech-support, Craft-repair, Other-service, Sales, Exec-managerial, Prof-specialty, Handlers-cleaners, Machine-op-inspct, Adm-clerical, Farming-fishing, Transport-moving, Priv-house-serv, Protective-serv, Armed-Forces.

relationship: Wife, Own-child, Husband, Not-in-family, Other-relative, Unmarried.

race: White, Asian-Pac-Islander, Amer-Indian-Eskimo, Other, Black. sex: Female, Male.

capital-gain: continuous.

capital-loss: continuous.

hours-per-week: continuous.

native-country: United-States, Cambodia, England, Puerto-Rico, Canada, Germany, Outlying-US(Guam-USVI-etc), India, Japan, Greece, South, China, Cuba, Iran, Honduras, Philippines, Italy, Poland, Jamaica, Vietnam, Mexico, Portugal, Ireland, France, Dominican-Republic, Laos, Ecuador, Taiwan, Haiti, Columbia, Hungary, Guatemala, Nicaragua, Scotland, Thailand, Yugoslavia, El-Salvador, Trinadad&Tobago, Peru, Hong, Holand-Netherland

http://archive.ics.uci.edu/ml/datasets/zoo

this data set has 7 labels

1. (41) aardvark, antelope, bear, boar, buffalo, calf, cavy, cheetah, deer, dolphin, elephant, fruitbat, giraffe, girl,

goat, gorilla, hamster, hare, leopard, lion, lynx, mink, mole, mongoose, opossum, oryx, platypus, polecat, pony, porpoise,

puma, pussycat, raccoon, reindeer, seal, sealion, squirrel, vampire, vole, wallaby,wolf

2. (20) chicken, crow, dove, duck, flamingo, gull, hawk, kiwi, lark, ostrich, parakeet, penguin, pheasant, rhea, skimmer, skua, sparrow, swan, vulture, wren

3 . (5) pitviper, seasnake, slowworm, tortoise, tuatara

4 . (13) bass, carp, catfish, chub, dogfish, haddock, herring, pike, piranha, seahorse, sole, stingray, tuna

5 . (4) frog, frog, newt, toad

6 . (8) flea, gnat, honeybee, housefly, ladybird, moth, termite, wasp

7 . (10) clam, crab, crayfish, lobster, octopus, scorpion, seawasp, slug, starfish, worm

this data set has 17 features(including animal name):

1. animal name: Unique for each instance

2. hair Boolean

3. feathers Boolean

4. eggs Boolean

5. milk Boolean

6. airborne Boolean

7. aquatic Boolean

8. predator Boolean

9. toothed Boolean

10. backbone Boolean

11. breathes Boolean

12. venomous Boolean

13. fins Boolean

14. legs Numeric (set of values: {0,2,4,5,6,8})

15. tail Boolean

16. domestic Boolean

17. catsize Boolean