corel16k009

mldr.datasets::get.mldr("corel16k009")

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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	13884
Attributes	673
Inputs	500
Labels	173
Labelsets	5175
Single labelsets	3346
Max frequency	177
Cardinality	2.9301
Density	0.0169
Mean IR	36.4456
SCUMBLE	0.2978
TCS	19.9195

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

(473 more attributes)

animal SCUMBLE 0.3018 arch SCUMBLE 0.3886 architecture SCUMBLE 0.4851 art SCUMBLE 0.1997 beach SCUMBLE 0.3803 bear SCUMBLE 0.295 bengal SCUMBLE 0.496 bighorn SCUMBLE 0.3556 bills SCUMBLE 0.0398 bird SCUMBLE 0.2744 black SCUMBLE 0.4186 boat SCUMBLE 0.4148 branch SCUMBLE 0.2444 branches SCUMBLE 0.4772 bridge SCUMBLE 0.4236 building SCUMBLE 0.3396 bulls SCUMBLE 0.4798 cactus SCUMBLE 0.3626 canoe SCUMBLE 0.6529 canyon SCUMBLE 0.4521 cars SCUMBLE 0.2696 carvings SCUMBLE 0.4032 castle SCUMBLE 0.5033 cat SCUMBLE 0.2541 church SCUMBLE 0.3799 city SCUMBLE 0.3797 cliffs SCUMBLE 0.4458 close-up SCUMBLE 0.1792 closeup SCUMBLE 0.1743 clouds SCUMBLE 0.2891 coast SCUMBLE 0.3997 columns SCUMBLE 0.3653 coral SCUMBLE 0.059 costume SCUMBLE 0.5061 courtyard SCUMBLE 0.4755 coyote SCUMBLE 0.5709 currency SCUMBLE 0.0499 dall SCUMBLE 0.5312 desert SCUMBLE 0.2819 designs SCUMBLE 0.3565 display SCUMBLE 0.2081 dock SCUMBLE 0.5666 dog SCUMBLE 0.4745 doors SCUMBLE 0.281 dress SCUMBLE 0.6298 eagle SCUMBLE 0.4559 elephant SCUMBLE 0.4664 entrance SCUMBLE 0.3973 f-16 SCUMBLE 0.5539 f-18 SCUMBLE 0.5473 face SCUMBLE 0.2174 feline SCUMBLE 0.4094 fence SCUMBLE 0.3756 field SCUMBLE 0.2377 fish SCUMBLE 0.2224 flag SCUMBLE 0.4321 flight SCUMBLE 0.4523 flowers SCUMBLE 0.2174 food SCUMBLE 0.1335 forest SCUMBLE 0.3658 formula SCUMBLE 0.3322 fox SCUMBLE 0.3588 frost SCUMBLE 0.3842 fungus SCUMBLE 0.1084 gardens SCUMBLE 0.2467 grass SCUMBLE 0.3358 ground SCUMBLE 0.2266 gun SCUMBLE 0.5265 harbor SCUMBLE 0.6166 hat SCUMBLE 0.39 hawks SCUMBLE 0.3033 head SCUMBLE 0.1976 helicopter SCUMBLE 0.3977 herd SCUMBLE 0.4803 hills SCUMBLE 0.3261 hillside SCUMBLE 0.5815 hippos SCUMBLE 0.5962 horizon SCUMBLE 0.4282 horse SCUMBLE 0.2183 house SCUMBLE 0.347 hunter SCUMBLE 0.5398 ice SCUMBLE 0.2904 indian SCUMBLE 0.6373 insect SCUMBLE 0.1696 jet SCUMBLE 0.2949 kauai SCUMBLE 0.7251 kayak SCUMBLE 0.7322 landscape SCUMBLE 0.5573 leaf SCUMBLE 0.2663 leaves SCUMBLE 0.1624 light SCUMBLE 0.2794 lizard SCUMBLE 0.2518 locomotive SCUMBLE 0.3044 lynx SCUMBLE 0.4478 man SCUMBLE 0.657 market SCUMBLE 0.3547 meadow SCUMBLE 0.5188 money SCUMBLE 0.0467 mountains SCUMBLE 0.2654 museum SCUMBLE 0.5271 mushrooms SCUMBLE 0.1052 ocean SCUMBLE 0.071 palace SCUMBLE 0.4122 paper SCUMBLE 0.0565 park SCUMBLE 0.5698 pattern SCUMBLE 0.125 people SCUMBLE 0.386 petals SCUMBLE 0.3826 plain SCUMBLE 0.5939 plane SCUMBLE 0.2821 plants SCUMBLE 0.1652 polar SCUMBLE 0.2229 pumpkin SCUMBLE 0.1264 rabbit SCUMBLE 0.5561 race SCUMBLE 0.6423 railroad SCUMBLE 0.3181 rapids SCUMBLE 0.6926 reef SCUMBLE 0.1911 reflection SCUMBLE 0.4765 restaurant SCUMBLE 0.466 rhino SCUMBLE 0.6164 river SCUMBLE 0.5727 road SCUMBLE 0.4312 rocks SCUMBLE 0.2888 rose SCUMBLE 0.3253 ruins SCUMBLE 0.2426 runway SCUMBLE 0.3769 saguaro SCUMBLE 0.4803 sailboat SCUMBLE 0.506 sails SCUMBLE 0.6227 sand SCUMBLE 0.2722 sea SCUMBLE 0.2483 shadow SCUMBLE 0.3479 sheep SCUMBLE 0.4276 shop SCUMBLE 0.2966 shore SCUMBLE 0.4821 shrine SCUMBLE 0.5846 sky SCUMBLE 0.3817 smoke SCUMBLE 0.3878 snake SCUMBLE 0.3369 snow SCUMBLE 0.2626 squirrel SCUMBLE 0.5261 statue SCUMBLE 0.2756 stone SCUMBLE 0.227 street SCUMBLE 0.3308 sun SCUMBLE 0.3895 sunset SCUMBLE 0.3805 tables SCUMBLE 0.2503 tail SCUMBLE 0.509 temple SCUMBLE 0.354 texture SCUMBLE 0.0788 tiger SCUMBLE 0.4381 tower SCUMBLE 0.4972 town SCUMBLE 0.5056 tracks SCUMBLE 0.2565 train SCUMBLE 0.3476 tree SCUMBLE 0.3737 trunk SCUMBLE 0.4412 tulip SCUMBLE 0.3745 turn SCUMBLE 0.3052 valley SCUMBLE 0.3672 vegetables SCUMBLE 0.086 village SCUMBLE 0.5724 walls SCUMBLE 0.2383 water SCUMBLE 0.4149 waves SCUMBLE 0.4317 wildlife SCUMBLE 0.3295 windows SCUMBLE 0.2001 wings SCUMBLE 0.4432 wolf SCUMBLE 0.4131 woman SCUMBLE 0.3881 wood SCUMBLE 0.3049 woodland SCUMBLE 0.5055

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