corel16k004

mldr.datasets::get.mldr("corel16k004")

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Full dataset

MULAN/MEKA (.arff) MULAN (.xml) LibSVM KEEL mldr

Partitions: select your desired partitioning strategy, validation and format

	Random	Stratified	Iterative stratified
Hold out	MULAN MEKA LibSVM KEEL mldr	MULAN MEKA LibSVM KEEL mldr	MULAN MEKA LibSVM KEEL mldr
2x5-fold cross validation	MULAN MEKA LibSVM KEEL mldr	MULAN MEKA LibSVM KEEL mldr	MULAN MEKA LibSVM KEEL mldr
10-fold cross validation	MULAN MEKA LibSVM KEEL mldr	MULAN MEKA LibSVM KEEL mldr	MULAN MEKA LibSVM KEEL mldr

Summary

Instances	13837
Attributes	662
Inputs	500
Labels	162
Labelsets	4860
Single labelsets	3112
Max frequency	250
Cardinality	2.842
Density	0.0175
Mean IR	35.8989
SCUMBLE	0.2772
TCS	19.791

Citation

Barnard, K.; Duygulu, P.; Forsyth, D.; de Freitas, N.; Blei, D. M.; Jordan, M. I. (2003). Matching words and pictures. In Journal of Machine Learning Research, 3(), 1107--1135.

@article{,
    title = "Matching words and pictures",
    author = "Barnard, K. and Duygulu, P. and Forsyth, D. and de Freitas, N. and Blei, D. M. and Jordan, M. I.",
    journal = "Journal of Machine Learning Research",
    year = "2003",
    volume = "3",
    pages = "1107--1135",
}

Concurrence plot

In this concurrence plot, sectors represent labels and links between them depict label co-occurrences. SCUMBLE is a measure designed to assess the concurrence among imbalanced labels.

Attributes

all attributes labels

binary Cluster1 binary Cluster2 binary Cluster3 binary Cluster4 binary Cluster5 binary Cluster6 binary Cluster7 binary Cluster8 binary Cluster9 binary Cluster10 binary Cluster11 binary Cluster12 binary Cluster13 binary Cluster14 binary Cluster15 binary Cluster16 binary Cluster17 binary Cluster18 binary Cluster19 binary Cluster20 binary Cluster21 binary Cluster22 binary Cluster23 binary Cluster24 binary Cluster25 binary Cluster26 binary Cluster27 binary Cluster28 binary Cluster29 binary Cluster30 binary Cluster31 binary Cluster32 binary Cluster33 binary Cluster34 binary Cluster35 binary Cluster36 binary Cluster37 binary Cluster38 binary Cluster39 binary Cluster40 binary Cluster41 binary Cluster42 binary Cluster43 binary Cluster44 binary Cluster45 binary Cluster46 binary Cluster47 binary Cluster48 binary Cluster49 binary Cluster50 binary Cluster51 binary Cluster52 binary Cluster53 binary Cluster54 binary Cluster55 binary Cluster56 binary Cluster57 binary Cluster58 binary Cluster59 binary Cluster60 binary Cluster61 binary Cluster62 binary Cluster63 binary Cluster64 binary Cluster65 binary Cluster66 binary Cluster67 binary Cluster68 binary Cluster69 binary Cluster70 binary Cluster71 binary Cluster72 binary Cluster73 binary Cluster74 binary Cluster75 binary Cluster76 binary Cluster77 binary Cluster78 binary Cluster79 binary Cluster80 binary Cluster81 binary Cluster82 binary Cluster83 binary Cluster84 binary Cluster85 binary Cluster86 binary Cluster87 binary Cluster88 binary Cluster89 binary Cluster90 binary Cluster91 binary Cluster92 binary Cluster93 binary Cluster94 binary Cluster95 binary Cluster96 binary Cluster97 binary Cluster98 binary Cluster99 binary Cluster100 binary Cluster101 binary Cluster102 binary Cluster103 binary Cluster104 binary Cluster105 binary Cluster106 binary Cluster107 binary Cluster108 binary Cluster109 binary Cluster110 binary Cluster111 binary Cluster112 binary Cluster113 binary Cluster114 binary Cluster115 binary Cluster116 binary Cluster117 binary Cluster118 binary Cluster119 binary Cluster120 binary Cluster121 binary Cluster122 binary Cluster123 binary Cluster124 binary Cluster125 binary Cluster126 binary Cluster127 binary Cluster128 binary Cluster129 binary Cluster130 binary Cluster131 binary Cluster132 binary Cluster133 binary Cluster134 binary Cluster135 binary Cluster136 binary Cluster137 binary Cluster138 binary Cluster139 binary Cluster140 binary Cluster141 binary Cluster142 binary Cluster143 binary Cluster144 binary Cluster145 binary Cluster146 binary Cluster147 binary Cluster148 binary Cluster149 binary Cluster150 binary Cluster151 binary Cluster152 binary Cluster153 binary Cluster154 binary Cluster155 binary Cluster156 binary Cluster157 binary Cluster158 binary Cluster159 binary Cluster160 binary Cluster161 binary Cluster162 binary Cluster163 binary Cluster164 binary Cluster165 binary Cluster166 binary Cluster167 binary Cluster168 binary Cluster169 binary Cluster170 binary Cluster171 binary Cluster172 binary Cluster173 binary Cluster174 binary Cluster175 binary Cluster176 binary Cluster177 binary Cluster178 binary Cluster179 binary Cluster180 binary Cluster181 binary Cluster182 binary Cluster183 binary Cluster184 binary Cluster185 binary Cluster186 binary Cluster187 binary Cluster188 binary Cluster189 binary Cluster190 binary Cluster191 binary Cluster192 binary Cluster193 binary Cluster194 binary Cluster195 binary Cluster196 binary Cluster197 binary Cluster198 binary Cluster199 binary Cluster200

(462 more attributes)

arch SCUMBLE 0.3964 arches SCUMBLE 0.4976 arctic SCUMBLE 0.4918 baby SCUMBLE 0.2952 beach SCUMBLE 0.3905 bills SCUMBLE 0.0398 bird SCUMBLE 0.2704 boat SCUMBLE 0.4101 bottles SCUMBLE 0.0644 branch SCUMBLE 0.2292 branches SCUMBLE 0.4628 bridge SCUMBLE 0.4217 building SCUMBLE 0.3241 canoe SCUMBLE 0.6538 canyon SCUMBLE 0.4522 cars SCUMBLE 0.1847 cat SCUMBLE 0.2985 chairs SCUMBLE 0.2606 cheetah SCUMBLE 0.5654 church SCUMBLE 0.3757 city SCUMBLE 0.3821 cliff SCUMBLE 0.4466 close-up SCUMBLE 0.1731 closeup SCUMBLE 0.1617 clouds SCUMBLE 0.2899 coast SCUMBLE 0.41 columns SCUMBLE 0.37 coral SCUMBLE 0.1319 costumes SCUMBLE 0.5096 coyote SCUMBLE 0.5746 crop SCUMBLE 0.3424 currency SCUMBLE 0.0501 deer SCUMBLE 0.4491 desert SCUMBLE 0.2721 designs SCUMBLE 0.3476 diver SCUMBLE 0.2017 dock SCUMBLE 0.5952 dog SCUMBLE 0.4906 door SCUMBLE 0.2889 dunes SCUMBLE 0.5939 eagle SCUMBLE 0.4559 entrance SCUMBLE 0.4069 face SCUMBLE 0.2364 fan SCUMBLE 0.3114 farm SCUMBLE 0.5289 fence SCUMBLE 0.3755 field SCUMBLE 0.2585 fish SCUMBLE 0.2344 flag SCUMBLE 0.4223 flight SCUMBLE 0.4619 floor SCUMBLE 0.3235 flower SCUMBLE 0.1839 foals SCUMBLE 0.2373 food SCUMBLE 0.1374 forest SCUMBLE 0.3211 formation SCUMBLE 0.5793 fox SCUMBLE 0.3417 fruit SCUMBLE 0.1906 fungus SCUMBLE 0.133 garden SCUMBLE 0.2415 glass SCUMBLE 0.1628 grapes SCUMBLE 0.1698 grass SCUMBLE 0.2553 ground SCUMBLE 0.1856 harbor SCUMBLE 0.6184 hats SCUMBLE 0.3899 head SCUMBLE 0.1928 helicopter SCUMBLE 0.398 herd SCUMBLE 0.5246 hills SCUMBLE 0.3415 hillside SCUMBLE 0.5862 horizon SCUMBLE 0.4302 horses SCUMBLE 0.2655 house SCUMBLE 0.3473 ice SCUMBLE 0.3032 iceburg SCUMBLE 0.5905 iguana SCUMBLE 0.5105 island SCUMBLE 0.6549 jaguar SCUMBLE 0.6072 jet SCUMBLE 0.1735 kayak SCUMBLE 0.7296 kitten SCUMBLE 0.4415 landscape SCUMBLE 0.5554 leaves SCUMBLE 0.1453 leopard SCUMBLE 0.4839 lichen SCUMBLE 0.1391 lights SCUMBLE 0.2735 lion SCUMBLE 0.3294 lizard SCUMBLE 0.2848 locomotive SCUMBLE 0.3033 log SCUMBLE 0.2669 mane SCUMBLE 0.3151 mare SCUMBLE 0.2311 market SCUMBLE 0.3611 money SCUMBLE 0.0469 moss SCUMBLE 0.391 mountains SCUMBLE 0.272 mushroom SCUMBLE 0.1298 nest SCUMBLE 0.3832 night SCUMBLE 0.2285 ocean SCUMBLE 0.1316 orchid SCUMBLE 0.3984 owl SCUMBLE 0.2483 palace SCUMBLE 0.4075 palm SCUMBLE 0.7019 paper SCUMBLE 0.0562 pattern SCUMBLE 0.137 people SCUMBLE 0.3625 pillars SCUMBLE 0.3001 plane SCUMBLE 0.2508 plants SCUMBLE 0.1382 pumpkins SCUMBLE 0.1234 pyramid SCUMBLE 0.4828 railroad SCUMBLE 0.3151 rapids SCUMBLE 0.6849 reefs SCUMBLE 0.2153 reflection SCUMBLE 0.4822 relief SCUMBLE 0.4345 reptile SCUMBLE 0.2799 river SCUMBLE 0.5704 road SCUMBLE 0.4297 rock SCUMBLE 0.2738 roofs SCUMBLE 0.5728 ruins SCUMBLE 0.282 sand SCUMBLE 0.3104 scotland SCUMBLE 0.4843 sculpture SCUMBLE 0.2585 sea SCUMBLE 0.3019 shadow SCUMBLE 0.3621 ship SCUMBLE 0.6245 shore SCUMBLE 0.4855 sign SCUMBLE 0.3556 ski SCUMBLE 0.5799 sky SCUMBLE 0.3502 smoke SCUMBLE 0.3861 snake SCUMBLE 0.3184 snow SCUMBLE 0.2632 sponge SCUMBLE 0.5032 statues SCUMBLE 0.2783 stones SCUMBLE 0.2535 street SCUMBLE 0.3073 sun SCUMBLE 0.394 sunset SCUMBLE 0.3825 tables SCUMBLE 0.2706 temple SCUMBLE 0.3412 tower SCUMBLE 0.495 town SCUMBLE 0.4966 train SCUMBLE 0.3487 trees SCUMBLE 0.3475 tulip SCUMBLE 0.3813 valley SCUMBLE 0.3755 vegetables SCUMBLE 0.0871 vehicles SCUMBLE 0.4548 wall SCUMBLE 0.2138 water SCUMBLE 0.3958 wave SCUMBLE 0.4486 window SCUMBLE 0.2407 wine SCUMBLE 0.1409 wings SCUMBLE 0.4428 woman SCUMBLE 0.369 wood SCUMBLE 0.3095 zebra SCUMBLE 0.6124

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