corel16k003

mldr.datasets::get.mldr("corel16k003")

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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	13760
Attributes	654
Inputs	500
Labels	154
Labelsets	4812
Single labelsets	3069
Max frequency	258
Cardinality	2.8286
Density	0.0184
Mean IR	37.058
SCUMBLE	0.285
TCS	19.7304

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

(454 more attributes)

anemone SCUMBLE 0.5636 angelfish SCUMBLE 0.5643 animal SCUMBLE 0.3022 arctic SCUMBLE 0.4953 baby SCUMBLE 0.311 bay SCUMBLE 0.6988 beach SCUMBLE 0.3833 bear SCUMBLE 0.2732 bighorn SCUMBLE 0.3533 birds SCUMBLE 0.2844 boats SCUMBLE 0.3952 branch SCUMBLE 0.2444 branches SCUMBLE 0.485 bridge SCUMBLE 0.401 buildings SCUMBLE 0.2889 bush SCUMBLE 0.4703 bushes SCUMBLE 0.4979 butterfly SCUMBLE 0.4171 cactus SCUMBLE 0.3615 canoe SCUMBLE 0.6513 canyon SCUMBLE 0.4552 cars SCUMBLE 0.2883 cat SCUMBLE 0.2508 chairs SCUMBLE 0.2659 church SCUMBLE 0.373 city SCUMBLE 0.3811 cliff SCUMBLE 0.4474 close-up SCUMBLE 0.1918 closeup SCUMBLE 0.1618 clouds SCUMBLE 0.297 coast SCUMBLE 0.4084 coral SCUMBLE 0.1631 costume SCUMBLE 0.5109 cougar SCUMBLE 0.4131 coyote SCUMBLE 0.566 crystal SCUMBLE 0.1698 cubs SCUMBLE 0.3618 desert SCUMBLE 0.2784 designs SCUMBLE 0.3535 diver SCUMBLE 0.2287 dock SCUMBLE 0.5674 door SCUMBLE 0.2922 eagle SCUMBLE 0.4555 f-18 SCUMBLE 0.5544 face SCUMBLE 0.215 fan SCUMBLE 0.3114 fence SCUMBLE 0.3787 field SCUMBLE 0.1994 fish SCUMBLE 0.2817 flag SCUMBLE 0.4253 floor SCUMBLE 0.3337 flowers SCUMBLE 0.2054 forest SCUMBLE 0.3243 formation SCUMBLE 0.5908 formula SCUMBLE 0.3322 fox SCUMBLE 0.3399 furniture SCUMBLE 0.1936 gardens SCUMBLE 0.2444 goats SCUMBLE 0.6692 grass SCUMBLE 0.3052 ground SCUMBLE 0.1795 hats SCUMBLE 0.3895 head SCUMBLE 0.1991 hills SCUMBLE 0.3334 hillside SCUMBLE 0.5873 hippos SCUMBLE 0.5934 horizon SCUMBLE 0.4289 horse SCUMBLE 0.2108 houses SCUMBLE 0.341 ice SCUMBLE 0.2826 insect SCUMBLE 0.1673 island SCUMBLE 0.6556 jet SCUMBLE 0.1913 kauai SCUMBLE 0.7222 kayak SCUMBLE 0.73 kitten SCUMBLE 0.4131 leaves SCUMBLE 0.1295 lights SCUMBLE 0.2853 lion SCUMBLE 0.329 lizard SCUMBLE 0.25 log SCUMBLE 0.2622 mane SCUMBLE 0.3179 market SCUMBLE 0.373 moss SCUMBLE 0.3937 mountain SCUMBLE 0.3193 nest SCUMBLE 0.3818 ocean SCUMBLE 0.1662 park SCUMBLE 0.5722 path SCUMBLE 0.661 pattern SCUMBLE 0.1713 peaks SCUMBLE 0.6951 penguin SCUMBLE 0.4975 people SCUMBLE 0.3564 petals SCUMBLE 0.3993 plane SCUMBLE 0.1977 plants SCUMBLE 0.1306 polar SCUMBLE 0.2345 prototype SCUMBLE 0.3695 pumpkin SCUMBLE 0.123 race SCUMBLE 0.6423 rapids SCUMBLE 0.6849 reefs SCUMBLE 0.2438 reflection SCUMBLE 0.4781 relief SCUMBLE 0.4428 reptile SCUMBLE 0.2783 rhino SCUMBLE 0.6197 river SCUMBLE 0.5672 road SCUMBLE 0.4269 rocks SCUMBLE 0.3264 roofs SCUMBLE 0.5793 ruins SCUMBLE 0.2316 saguaro SCUMBLE 0.4783 sail SCUMBLE 0.6227 sailboats SCUMBLE 0.5069 sand SCUMBLE 0.2853 scotland SCUMBLE 0.4862 sea SCUMBLE 0.3122 shadows SCUMBLE 0.3598 sheep SCUMBLE 0.4107 shore SCUMBLE 0.4834 sign SCUMBLE 0.3564 ski SCUMBLE 0.5836 sky SCUMBLE 0.3476 slope SCUMBLE 0.5192 snake SCUMBLE 0.3184 snow SCUMBLE 0.2868 sponges SCUMBLE 0.5011 statue SCUMBLE 0.2613 stems SCUMBLE 0.5262 stones SCUMBLE 0.2003 street SCUMBLE 0.2963 sun SCUMBLE 0.3966 sunset SCUMBLE 0.3861 tables SCUMBLE 0.2702 temple SCUMBLE 0.3285 texture SCUMBLE 0.12 tower SCUMBLE 0.5065 town SCUMBLE 0.4974 tracks SCUMBLE 0.278 tree SCUMBLE 0.3523 tulips SCUMBLE 0.3873 turn SCUMBLE 0.3098 valley SCUMBLE 0.3689 vegetable SCUMBLE 0.0804 vehicles SCUMBLE 0.4473 wall SCUMBLE 0.2359 water SCUMBLE 0.4213 waterfall SCUMBLE 0.6836 waves SCUMBLE 0.4328 window SCUMBLE 0.2307 wings SCUMBLE 0.4417 wolf SCUMBLE 0.4132 woman SCUMBLE 0.3682 wood SCUMBLE 0.2958

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