corel16k006

mldr.datasets::get.mldr("corel16k006")

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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	13859
Attributes	662
Inputs	500
Labels	162
Labelsets	5009
Single labelsets	3239
Max frequency	176
Cardinality	2.8849
Density	0.0178
Mean IR	33.3979
SCUMBLE	0.2905
TCS	19.8212

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)

antlers SCUMBLE 0.4995 arch SCUMBLE 0.3963 arctic SCUMBLE 0.4862 baby SCUMBLE 0.2691 background SCUMBLE 0.1657 beach SCUMBLE 0.3891 bear SCUMBLE 0.2311 bills SCUMBLE 0.0398 birds SCUMBLE 0.2737 boats SCUMBLE 0.4148 branch SCUMBLE 0.2279 branches SCUMBLE 0.4628 bridge SCUMBLE 0.4202 buildings SCUMBLE 0.3529 bull SCUMBLE 0.522 butterfly SCUMBLE 0.4197 canoe SCUMBLE 0.6533 canyon SCUMBLE 0.454 caribou SCUMBLE 0.5731 cars SCUMBLE 0.2782 castle SCUMBLE 0.5036 cat SCUMBLE 0.2075 chairs SCUMBLE 0.2528 church SCUMBLE 0.3778 city SCUMBLE 0.3825 cliff SCUMBLE 0.4454 close-up SCUMBLE 0.1833 closeup SCUMBLE 0.1571 clouds SCUMBLE 0.297 coast SCUMBLE 0.4028 columns SCUMBLE 0.3528 coral SCUMBLE 0.1095 costume SCUMBLE 0.518 coyote SCUMBLE 0.576 currency SCUMBLE 0.0499 deer SCUMBLE 0.4639 diver SCUMBLE 0.1739 dock SCUMBLE 0.5657 dog SCUMBLE 0.469 doors SCUMBLE 0.2819 doorway SCUMBLE 0.4239 eagle SCUMBLE 0.4559 elk SCUMBLE 0.5572 entrance SCUMBLE 0.4048 fan SCUMBLE 0.3086 fence SCUMBLE 0.3715 field SCUMBLE 0.2492 fish SCUMBLE 0.2493 flag SCUMBLE 0.4152 flight SCUMBLE 0.4619 flowers SCUMBLE 0.2396 foal SCUMBLE 0.2373 food SCUMBLE 0.1302 forest SCUMBLE 0.3152 formation SCUMBLE 0.5892 formula SCUMBLE 0.3322 fox SCUMBLE 0.3406 gardens SCUMBLE 0.2356 grass SCUMBLE 0.2884 ground SCUMBLE 0.172 guard SCUMBLE 0.4591 guns SCUMBLE 0.5201 harbor SCUMBLE 0.6143 head SCUMBLE 0.1865 helicopter SCUMBLE 0.3966 herd SCUMBLE 0.522 hills SCUMBLE 0.3198 hillside SCUMBLE 0.5743 horizon SCUMBLE 0.4306 horses SCUMBLE 0.2675 house SCUMBLE 0.3461 hunter SCUMBLE 0.5382 ice SCUMBLE 0.269 insect SCUMBLE 0.1623 island SCUMBLE 0.6561 jet SCUMBLE 0.2022 kayak SCUMBLE 0.7296 leaves SCUMBLE 0.201 light SCUMBLE 0.2671 lion SCUMBLE 0.3317 lizard SCUMBLE 0.2343 log SCUMBLE 0.2562 mane SCUMBLE 0.3168 mare SCUMBLE 0.2311 market SCUMBLE 0.3573 military SCUMBLE 0.4883 model SCUMBLE 0.4101 money SCUMBLE 0.0467 mountain SCUMBLE 0.2667 nest SCUMBLE 0.3823 night SCUMBLE 0.2283 ocean SCUMBLE 0.1137 orchid SCUMBLE 0.3984 outside SCUMBLE 0.6241 owl SCUMBLE 0.2502 palace SCUMBLE 0.4116 palm SCUMBLE 0.7019 paper SCUMBLE 0.0562 parade SCUMBLE 0.4781 park SCUMBLE 0.5701 pattern SCUMBLE 0.1482 people SCUMBLE 0.3979 petals SCUMBLE 0.3808 pillars SCUMBLE 0.2857 plane SCUMBLE 0.2247 plants SCUMBLE 0.1824 rapids SCUMBLE 0.6902 reefs SCUMBLE 0.2111 reflection SCUMBLE 0.4765 reptile SCUMBLE 0.2766 restaurant SCUMBLE 0.4669 river SCUMBLE 0.5652 road SCUMBLE 0.4319 rock SCUMBLE 0.2772 rodent SCUMBLE 0.6551 roofs SCUMBLE 0.5734 rose SCUMBLE 0.3238 ruins SCUMBLE 0.245 runway SCUMBLE 0.3729 sailboats SCUMBLE 0.4667 sand SCUMBLE 0.2608 sculpture SCUMBLE 0.2442 sea SCUMBLE 0.2967 shadow SCUMBLE 0.3449 ships SCUMBLE 0.6259 shop SCUMBLE 0.2994 shore SCUMBLE 0.4855 sign SCUMBLE 0.3497 ski SCUMBLE 0.5811 sky SCUMBLE 0.3624 skyline SCUMBLE 0.4803 snake SCUMBLE 0.3147 snow SCUMBLE 0.271 statue SCUMBLE 0.2813 stone SCUMBLE 0.2179 street SCUMBLE 0.3388 sun SCUMBLE 0.3916 sunset SCUMBLE 0.3793 tables SCUMBLE 0.257 temple SCUMBLE 0.3501 textile SCUMBLE 0.185 texture SCUMBLE 0.1273 tower SCUMBLE 0.4969 town SCUMBLE 0.503 tracks SCUMBLE 0.247 tree SCUMBLE 0.3578 tulip SCUMBLE 0.3741 turn SCUMBLE 0.3052 valley SCUMBLE 0.3752 vegetables SCUMBLE 0.0521 village SCUMBLE 0.5736 wall SCUMBLE 0.2332 water SCUMBLE 0.4189 waterfall SCUMBLE 0.6923 waves SCUMBLE 0.433 white-tailed SCUMBLE 0.5814 windows SCUMBLE 0.2196 wings SCUMBLE 0.4418 wolf SCUMBLE 0.4125 woman SCUMBLE 0.4023 wood SCUMBLE 0.2939 zebra SCUMBLE 0.6102

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