corel16k007

mldr.datasets::get.mldr("corel16k007")

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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	13915
Attributes	674
Inputs	500
Labels	174
Labelsets	5158
Single labelsets	3389
Max frequency	254
Cardinality	2.8859
Density	0.0166
Mean IR	37.7146
SCUMBLE	0.2821
TCS	19.922

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

(474 more attributes)

animals SCUMBLE 0.3061 arctic SCUMBLE 0.4979 art SCUMBLE 0.202 bay SCUMBLE 0.6987 beach SCUMBLE 0.4042 bear SCUMBLE 0.2509 beetle SCUMBLE 0.425 bills SCUMBLE 0.0398 birds SCUMBLE 0.2971 boats SCUMBLE 0.3765 bobcat SCUMBLE 0.5064 bottles SCUMBLE 0.0644 branch SCUMBLE 0.2365 branches SCUMBLE 0.4602 buildings SCUMBLE 0.3688 butterfly SCUMBLE 0.4129 cactus SCUMBLE 0.3166 cars SCUMBLE 0.195 castle SCUMBLE 0.4994 cat SCUMBLE 0.3687 chairs SCUMBLE 0.2581 cheetah SCUMBLE 0.5632 church SCUMBLE 0.3841 city SCUMBLE 0.3938 cliff SCUMBLE 0.4486 close-up SCUMBLE 0.2346 closeup SCUMBLE 0.1763 clouds SCUMBLE 0.295 coast SCUMBLE 0.4045 columns SCUMBLE 0.364 coral SCUMBLE 0.1037 costume SCUMBLE 0.5053 cougar SCUMBLE 0.4162 courtyard SCUMBLE 0.4769 coyote SCUMBLE 0.581 crop SCUMBLE 0.3436 crystal SCUMBLE 0.1674 currency SCUMBLE 0.0501 desert SCUMBLE 0.2655 designs SCUMBLE 0.3495 display SCUMBLE 0.2077 diver SCUMBLE 0.1759 dog SCUMBLE 0.4895 door SCUMBLE 0.2839 entrance SCUMBLE 0.3974 face SCUMBLE 0.2132 fan SCUMBLE 0.3049 feline SCUMBLE 0.4311 fence SCUMBLE 0.3779 field SCUMBLE 0.2153 fish SCUMBLE 0.2391 flags SCUMBLE 0.4093 flight SCUMBLE 0.4577 floor SCUMBLE 0.3217 flowers SCUMBLE 0.1468 food SCUMBLE 0.1426 forest SCUMBLE 0.3358 fox SCUMBLE 0.3473 fruit SCUMBLE 0.1847 fungus SCUMBLE 0.1422 gardens SCUMBLE 0.228 glass SCUMBLE 0.1597 grapes SCUMBLE 0.1668 grass SCUMBLE 0.278 ground SCUMBLE 0.233 guard SCUMBLE 0.4611 harbor SCUMBLE 0.6104 hats SCUMBLE 0.3876 hawk SCUMBLE 0.3152 head SCUMBLE 0.2052 helicopter SCUMBLE 0.403 hills SCUMBLE 0.336 horizon SCUMBLE 0.4303 horse SCUMBLE 0.2224 hotel SCUMBLE 0.6198 house SCUMBLE 0.35 ice SCUMBLE 0.2978 insect SCUMBLE 0.2335 island SCUMBLE 0.6541 jaguar SCUMBLE 0.6058 kauai SCUMBLE 0.7364 lake SCUMBLE 0.6761 landscape SCUMBLE 0.5518 leaf SCUMBLE 0.2736 leaves SCUMBLE 0.1155 leopard SCUMBLE 0.5064 lichen SCUMBLE 0.1391 light SCUMBLE 0.2708 lion SCUMBLE 0.3261 lizard SCUMBLE 0.2495 log SCUMBLE 0.2548 lynx SCUMBLE 0.4485 man SCUMBLE 0.6805 mane SCUMBLE 0.3151 market SCUMBLE 0.3627 military SCUMBLE 0.4895 model SCUMBLE 0.4089 money SCUMBLE 0.0469 mosque SCUMBLE 0.5595 moss SCUMBLE 0.4153 mountains SCUMBLE 0.2457 museum SCUMBLE 0.5227 mushrooms SCUMBLE 0.1371 nest SCUMBLE 0.3835 night SCUMBLE 0.2384 ocean SCUMBLE 0.1097 owl SCUMBLE 0.2608 paintings SCUMBLE 0.2874 palace SCUMBLE 0.4091 palm SCUMBLE 0.7049 paper SCUMBLE 0.0565 parade SCUMBLE 0.4806 park SCUMBLE 0.5738 pattern SCUMBLE 0.1617 penguin SCUMBLE 0.4975 people SCUMBLE 0.3669 perch SCUMBLE 0.4053 pillar SCUMBLE 0.3002 plane SCUMBLE 0.2176 plants SCUMBLE 0.1102 polar SCUMBLE 0.2217 pumpkins SCUMBLE 0.1251 pyramid SCUMBLE 0.4764 rabbit SCUMBLE 0.584 reefs SCUMBLE 0.2083 reflection SCUMBLE 0.4825 reptile SCUMBLE 0.2779 restaurant SCUMBLE 0.4618 river SCUMBLE 0.575 road SCUMBLE 0.4322 rock SCUMBLE 0.3025 rodent SCUMBLE 0.6271 roof SCUMBLE 0.5671 ruins SCUMBLE 0.2712 sand SCUMBLE 0.2849 sculpture SCUMBLE 0.2522 sea SCUMBLE 0.3009 shadow SCUMBLE 0.3451 ships SCUMBLE 0.6351 shop SCUMBLE 0.3008 shore SCUMBLE 0.481 shrine SCUMBLE 0.5681 sign SCUMBLE 0.3512 sky SCUMBLE 0.3486 skyline SCUMBLE 0.4817 snake SCUMBLE 0.3147 snow SCUMBLE 0.2533 squirrel SCUMBLE 0.5164 stairs SCUMBLE 0.4474 statue SCUMBLE 0.2936 stone SCUMBLE 0.2444 street SCUMBLE 0.3583 sun SCUMBLE 0.4042 sunset SCUMBLE 0.3816 tables SCUMBLE 0.2667 tail SCUMBLE 0.5083 temple SCUMBLE 0.36 texture SCUMBLE 0.1193 tower SCUMBLE 0.5013 town SCUMBLE 0.5043 tree SCUMBLE 0.3614 valley SCUMBLE 0.3643 vegetables SCUMBLE 0.0879 vehicle SCUMBLE 0.4509 village SCUMBLE 0.5747 walls SCUMBLE 0.2297 water SCUMBLE 0.3831 waves SCUMBLE 0.4434 wildlife SCUMBLE 0.3439 window SCUMBLE 0.2431 wine SCUMBLE 0.1385 woman SCUMBLE 0.4119 wood SCUMBLE 0.3175 woodland SCUMBLE 0.5065

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