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
- (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
- (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):
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animal name: Unique for each instance
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hair Boolean
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feathers Boolean
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eggs Boolean
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milk Boolean
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airborne Boolean
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aquatic Boolean
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predator Boolean
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toothed Boolean
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backbone Boolean
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breathes Boolean
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venomous Boolean
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fins Boolean
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legs Numeric (set of values: {0,2,4,5,6,8})
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tail Boolean
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domestic Boolean
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catsize Boolean