corel16k010

mldr.datasets::get.mldr("corel16k010")

Download Download

Select your download

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	13618
Attributes	644
Inputs	500
Labels	144
Labelsets	4692
Single labelsets	2999
Max frequency	350
Cardinality	2.8153
Density	0.0196
Mean IR	32.9985
SCUMBLE	0.2786
TCS	19.638

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

(444 more attributes)

antlers SCUMBLE 0.5648 arch SCUMBLE 0.3925 background SCUMBLE 0.2081 bay SCUMBLE 0.6988 beach SCUMBLE 0.3839 birds SCUMBLE 0.2422 boats SCUMBLE 0.3788 branch SCUMBLE 0.2316 bridge SCUMBLE 0.4206 buildings SCUMBLE 0.3314 bull SCUMBLE 0.4765 butterfly SCUMBLE 0.4194 cactus SCUMBLE 0.3587 candy SCUMBLE 0.3181 canyon SCUMBLE 0.4547 cars SCUMBLE 0.195 castle SCUMBLE 0.5007 cat SCUMBLE 0.1878 chairs SCUMBLE 0.2651 church SCUMBLE 0.3734 city SCUMBLE 0.3774 cliff SCUMBLE 0.4475 close-up SCUMBLE 0.1903 closeup SCUMBLE 0.1519 clouds SCUMBLE 0.3063 coast SCUMBLE 0.4029 columns SCUMBLE 0.3493 coral SCUMBLE 0.0701 costume SCUMBLE 0.5131 cougar SCUMBLE 0.4141 coyote SCUMBLE 0.5844 crystal SCUMBLE 0.1657 deer SCUMBLE 0.4661 desert SCUMBLE 0.2744 design SCUMBLE 0.3417 display SCUMBLE 0.2061 dock SCUMBLE 0.5663 door SCUMBLE 0.2827 elephants SCUMBLE 0.4599 entrance SCUMBLE 0.4032 f-16 SCUMBLE 0.5586 f-18 SCUMBLE 0.5473 fence SCUMBLE 0.376 field SCUMBLE 0.2313 fish SCUMBLE 0.2285 flight SCUMBLE 0.4691 flowers SCUMBLE 0.1971 foals SCUMBLE 0.2373 forest SCUMBLE 0.3045 formation SCUMBLE 0.5871 fox SCUMBLE 0.3539 fungus SCUMBLE 0.1011 furniture SCUMBLE 0.2001 garden SCUMBLE 0.2348 grass SCUMBLE 0.2732 ground SCUMBLE 0.1845 harbor SCUMBLE 0.6197 head SCUMBLE 0.1813 helicopter SCUMBLE 0.3976 hills SCUMBLE 0.3404 hippo SCUMBLE 0.5999 horizon SCUMBLE 0.429 horses SCUMBLE 0.2515 hotel SCUMBLE 0.6235 house SCUMBLE 0.3361 ice SCUMBLE 0.2951 iceburg SCUMBLE 0.5932 insect SCUMBLE 0.1587 island SCUMBLE 0.6537 jet SCUMBLE 0.2997 kauai SCUMBLE 0.7222 leaves SCUMBLE 0.1432 light SCUMBLE 0.2712 lizard SCUMBLE 0.2478 locomotive SCUMBLE 0.3044 mare SCUMBLE 0.2311 market SCUMBLE 0.3762 mountain SCUMBLE 0.2908 mushroom SCUMBLE 0.0979 nest SCUMBLE 0.3842 night SCUMBLE 0.2371 ocean SCUMBLE 0.0783 orchid SCUMBLE 0.3984 outside SCUMBLE 0.6268 palace SCUMBLE 0.4084 park SCUMBLE 0.5722 pattern SCUMBLE 0.1755 peaks SCUMBLE 0.6981 penguin SCUMBLE 0.4975 people SCUMBLE 0.3208 pillar SCUMBLE 0.2908 plane SCUMBLE 0.2809 plants SCUMBLE 0.1245 race SCUMBLE 0.6463 railroad SCUMBLE 0.3164 reefs SCUMBLE 0.1989 reflection SCUMBLE 0.4841 restaurant SCUMBLE 0.475 rhino SCUMBLE 0.6241 river SCUMBLE 0.573 road SCUMBLE 0.4271 rocks SCUMBLE 0.2823 ruins SCUMBLE 0.237 runway SCUMBLE 0.3769 saguaro SCUMBLE 0.4803 sailboats SCUMBLE 0.4902 sand SCUMBLE 0.2758 scotland SCUMBLE 0.4847 sculpture SCUMBLE 0.2436 sea SCUMBLE 0.2535 shadows SCUMBLE 0.3458 ships SCUMBLE 0.6316 shop SCUMBLE 0.3006 shore SCUMBLE 0.4818 shrine SCUMBLE 0.5806 sign SCUMBLE 0.3471 skis SCUMBLE 0.5825 sky SCUMBLE 0.3733 smoke SCUMBLE 0.3878 snake SCUMBLE 0.3427 snow SCUMBLE 0.28 statue SCUMBLE 0.2831 stones SCUMBLE 0.2149 street SCUMBLE 0.32 sun SCUMBLE 0.3986 sunset SCUMBLE 0.3836 tables SCUMBLE 0.265 temple SCUMBLE 0.3534 texture SCUMBLE 0.1849 tower SCUMBLE 0.4929 town SCUMBLE 0.4942 tracks SCUMBLE 0.1296 train SCUMBLE 0.348 tree SCUMBLE 0.3565 trunk SCUMBLE 0.4413 tulip SCUMBLE 0.3787 valley SCUMBLE 0.3666 wall SCUMBLE 0.2064 water SCUMBLE 0.4035 waterfall SCUMBLE 0.6963 waves SCUMBLE 0.429 window SCUMBLE 0.2252 wolf SCUMBLE 0.4158 wood SCUMBLE 0.3019

Download this metadata in a machine-friendly format (JSON)