corel16k001

mldr.datasets::get.mldr("corel16k001")

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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	13766
Attributes	653
Inputs	500
Labels	153
Labelsets	4803
Single labelsets	3120
Max frequency	253
Cardinality	2.8587
Density	0.0187
Mean IR	34.1552
SCUMBLE	0.2731
TCS	19.722

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

(453 more attributes)

animal SCUMBLE 0.3055 arch SCUMBLE 0.3918 architecture SCUMBLE 0.4818 art SCUMBLE 0.1978 background SCUMBLE 0.2304 bay SCUMBLE 0.6988 beach SCUMBLE 0.3818 bears SCUMBLE 0.2841 birds SCUMBLE 0.2758 black SCUMBLE 0.4317 boats SCUMBLE 0.3663 branch SCUMBLE 0.2282 branches SCUMBLE 0.4605 bridge SCUMBLE 0.4236 buildings SCUMBLE 0.3446 cactus SCUMBLE 0.3616 candy SCUMBLE 0.3258 car SCUMBLE 0.2874 castle SCUMBLE 0.4924 cat SCUMBLE 0.2375 church SCUMBLE 0.3925 city SCUMBLE 0.3812 cliff SCUMBLE 0.4486 close-up SCUMBLE 0.1987 closeup SCUMBLE 0.1705 clouds SCUMBLE 0.29 coast SCUMBLE 0.4089 columns SCUMBLE 0.3569 coral SCUMBLE 0.0673 costume SCUMBLE 0.5091 cougar SCUMBLE 0.4136 courtyard SCUMBLE 0.4764 crystal SCUMBLE 0.1657 desert SCUMBLE 0.2743 designs SCUMBLE 0.3337 detail SCUMBLE 0.3194 display SCUMBLE 0.2082 dog SCUMBLE 0.4736 doors SCUMBLE 0.2816 dunes SCUMBLE 0.5917 elephants SCUMBLE 0.4672 entrance SCUMBLE 0.3971 f-16 SCUMBLE 0.5603 face SCUMBLE 0.2147 fence SCUMBLE 0.3762 field SCUMBLE 0.194 fish SCUMBLE 0.2168 flight SCUMBLE 0.4595 flowers SCUMBLE 0.1341 food SCUMBLE 0.1322 forest SCUMBLE 0.2899 formation SCUMBLE 0.5946 formula SCUMBLE 0.3322 fungus SCUMBLE 0.1018 gardens SCUMBLE 0.2134 grass SCUMBLE 0.2635 ground SCUMBLE 0.178 gun SCUMBLE 0.5315 harbor SCUMBLE 0.6185 hats SCUMBLE 0.39 hawk SCUMBLE 0.3161 head SCUMBLE 0.1904 helicopter SCUMBLE 0.3977 herd SCUMBLE 0.4883 hills SCUMBLE 0.3426 horizon SCUMBLE 0.4269 horse SCUMBLE 0.2136 house SCUMBLE 0.3508 hunter SCUMBLE 0.5444 ice SCUMBLE 0.2798 insect SCUMBLE 0.169 island SCUMBLE 0.6547 jet SCUMBLE 0.2599 kauai SCUMBLE 0.7316 leaf SCUMBLE 0.2719 leaves SCUMBLE 0.1066 light SCUMBLE 0.2687 lion SCUMBLE 0.3265 lizard SCUMBLE 0.2485 mane SCUMBLE 0.3151 market SCUMBLE 0.358 mountain SCUMBLE 0.2565 museum SCUMBLE 0.5282 mushrooms SCUMBLE 0.0986 nest SCUMBLE 0.3851 night SCUMBLE 0.2357 ocean SCUMBLE 0.0749 outside SCUMBLE 0.616 owl SCUMBLE 0.2591 paintings SCUMBLE 0.2862 palace SCUMBLE 0.4106 pattern SCUMBLE 0.182 people SCUMBLE 0.3531 perch SCUMBLE 0.4053 pillars SCUMBLE 0.286 plane SCUMBLE 0.2682 plants SCUMBLE 0.0895 polar SCUMBLE 0.2211 prototype SCUMBLE 0.3695 pumpkins SCUMBLE 0.1241 pyramid SCUMBLE 0.4796 reefs SCUMBLE 0.1945 reflection SCUMBLE 0.476 restaurant SCUMBLE 0.4673 river SCUMBLE 0.5636 road SCUMBLE 0.4288 rock SCUMBLE 0.2532 roofs SCUMBLE 0.5694 ruins SCUMBLE 0.2671 runway SCUMBLE 0.3757 saguaro SCUMBLE 0.4803 sand SCUMBLE 0.2964 scotland SCUMBLE 0.4813 sculpture SCUMBLE 0.249 sea SCUMBLE 0.2491 seals SCUMBLE 0.5401 shadows SCUMBLE 0.3445 ships SCUMBLE 0.6357 shop SCUMBLE 0.2973 shore SCUMBLE 0.4823 shrine SCUMBLE 0.5739 skis SCUMBLE 0.5828 sky SCUMBLE 0.3486 smoke SCUMBLE 0.4606 snake SCUMBLE 0.3388 snow SCUMBLE 0.2584 statues SCUMBLE 0.2933 stone SCUMBLE 0.2498 street SCUMBLE 0.3194 sun SCUMBLE 0.3981 sunset SCUMBLE 0.3805 tables SCUMBLE 0.2499 temple SCUMBLE 0.3703 textile SCUMBLE 0.1876 texture SCUMBLE 0.1935 tower SCUMBLE 0.496 town SCUMBLE 0.4917 tracks SCUMBLE 0.2772 tree SCUMBLE 0.3487 trunk SCUMBLE 0.4425 turn SCUMBLE 0.3098 valley SCUMBLE 0.3669 vegetables SCUMBLE 0.0823 village SCUMBLE 0.5666 walls SCUMBLE 0.2458 water SCUMBLE 0.3704 waves SCUMBLE 0.4428 wildlife SCUMBLE 0.3439 windows SCUMBLE 0.2066 wolf SCUMBLE 0.4131 woman SCUMBLE 0.3686 woods SCUMBLE 0.3039 zebra SCUMBLE 0.6061

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