yeast - Cometa

yeast

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

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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	2417
Attributes	117
Inputs	103
Labels	14
Labelsets	198
Single labelsets	77
Max frequency	237
Cardinality	4.2371
Density	0.3026
Mean IR	7.1968
SCUMBLE	0.1044
TCS	12.5621

Citation

Elisseeff, A.; Weston, J. (2001). A Kernel Method for Multi-Labelled Classification. In Advances in Neural Information Processing Systems, 681--687.

@inproceedings{,
  title = "A Kernel Method for Multi-Labelled Classification",
  author = "Elisseeff, A. and Weston, J.",
  booktitle = "Advances in Neural Information Processing Systems",
  year = "2001",
  volume = "14",
  pages = "681--687",
}

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

numeric Att1 numeric Att2 numeric Att3 numeric Att4 numeric Att5 numeric Att6 numeric Att7 numeric Att8 numeric Att9 numeric Att10 numeric Att11 numeric Att12 numeric Att13 numeric Att14 numeric Att15 numeric Att16 numeric Att17 numeric Att18 numeric Att19 numeric Att20 numeric Att21 numeric Att22 numeric Att23 numeric Att24 numeric Att25 numeric Att26 numeric Att27 numeric Att28 numeric Att29 numeric Att30 numeric Att31 numeric Att32 numeric Att33 numeric Att34 numeric Att35 numeric Att36 numeric Att37 numeric Att38 numeric Att39 numeric Att40 numeric Att41 numeric Att42 numeric Att43 numeric Att44 numeric Att45 numeric Att46 numeric Att47 numeric Att48 numeric Att49 numeric Att50 numeric Att51 numeric Att52 numeric Att53 numeric Att54 numeric Att55 numeric Att56 numeric Att57 numeric Att58 numeric Att59 numeric Att60 numeric Att61 numeric Att62 numeric Att63 numeric Att64 numeric Att65 numeric Att66 numeric Att67 numeric Att68 numeric Att69 numeric Att70 numeric Att71 numeric Att72 numeric Att73 numeric Att74 numeric Att75 numeric Att76 numeric Att77 numeric Att78 numeric Att79 numeric Att80 numeric Att81 numeric Att82 numeric Att83 numeric Att84 numeric Att85 numeric Att86 numeric Att87 numeric Att88 numeric Att89 numeric Att90 numeric Att91 numeric Att92 numeric Att93 numeric Att94 numeric Att95 numeric Att96 numeric Att97 numeric Att98 numeric Att99 numeric Att100 numeric Att101 numeric Att102 numeric Att103 binary Class1 binary Class2 binary Class3 binary Class4 binary Class5 binary Class6 binary Class7 binary Class8 binary Class9 binary Class10 binary Class11 binary Class12 binary Class13 binary Class14

Class1 SCUMBLE 0.0792 Class2 SCUMBLE 0.0901 Class3 SCUMBLE 0.1083 Class4 SCUMBLE 0.1 Class5 SCUMBLE 0.1051 Class6 SCUMBLE 0.1222 Class7 SCUMBLE 0.1516 Class8 SCUMBLE 0.1721 Class9 SCUMBLE 0.2368 Class10 SCUMBLE 0.2233 Class11 SCUMBLE 0.2101 Class12 SCUMBLE 0.1232 Class13 SCUMBLE 0.1225 Class14 SCUMBLE 0.7232

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