Data
musk

musk

active ARFF Publicly available Visibility: public Uploaded 07-10-2014 by Joaquin Vanschoren
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Author: Source: Unknown - Date unknown Please cite: Dataset from the MLRR repository: http://axon.cs.byu.edu:5000/

168 features

class (target)nominal2 unique values
0 missing
ID (row identifier)numeric6598 unique values
0 missing
molecule_namenominal102 unique values
0 missing
conformation_name (ignore)nominal6598 unique values
0 missing
f1numeric202 unique values
0 missing
f2numeric260 unique values
0 missing
f3numeric221 unique values
0 missing
f4numeric257 unique values
0 missing
f5numeric129 unique values
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f6numeric358 unique values
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f7numeric323 unique values
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f8numeric389 unique values
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f9numeric347 unique values
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f10numeric399 unique values
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f11numeric387 unique values
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f12numeric384 unique values
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f13numeric397 unique values
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f14numeric329 unique values
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f15numeric319 unique values
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f16numeric327 unique values
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f17numeric350 unique values
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f18numeric375 unique values
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f19numeric398 unique values
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f20numeric388 unique values
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f21numeric419 unique values
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f22numeric304 unique values
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f23numeric397 unique values
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f24numeric368 unique values
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f25numeric304 unique values
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f26numeric379 unique values
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f27numeric338 unique values
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f28numeric272 unique values
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f29numeric278 unique values
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f30numeric341 unique values
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f31numeric276 unique values
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f32numeric334 unique values
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f33numeric240 unique values
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f34numeric419 unique values
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f35numeric243 unique values
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f36numeric261 unique values
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f37numeric288 unique values
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f38numeric324 unique values
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f39numeric217 unique values
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f40numeric322 unique values
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f41numeric231 unique values
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f42numeric329 unique values
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f43numeric407 unique values
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f44numeric328 unique values
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f45numeric340 unique values
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f46numeric392 unique values
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f47numeric265 unique values
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f48numeric411 unique values
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f49numeric381 unique values
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f50numeric374 unique values
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f51numeric390 unique values
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f52numeric329 unique values
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f53numeric333 unique values
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f54numeric389 unique values
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f55numeric313 unique values
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f56numeric415 unique values
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f57numeric363 unique values
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f58numeric271 unique values
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f59numeric302 unique values
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f60numeric412 unique values
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f61numeric254 unique values
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f62numeric305 unique values
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f63numeric205 unique values
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f64numeric388 unique values
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f65numeric251 unique values
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f66numeric206 unique values
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f67numeric181 unique values
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f68numeric287 unique values
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f69numeric314 unique values
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f70numeric287 unique values
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f71numeric224 unique values
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f72numeric224 unique values
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f73numeric429 unique values
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f74numeric386 unique values
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f75numeric380 unique values
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f76numeric113 unique values
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f77numeric338 unique values
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f78numeric392 unique values
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f79numeric347 unique values
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f80numeric338 unique values
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f81numeric397 unique values
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f82numeric294 unique values
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f83numeric368 unique values
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f84numeric361 unique values
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f85numeric368 unique values
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f86numeric320 unique values
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f87numeric307 unique values
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f88numeric347 unique values
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f89numeric258 unique values
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f90numeric398 unique values
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f91numeric331 unique values
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f92numeric247 unique values
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f93numeric233 unique values
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f94numeric398 unique values
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f95numeric199 unique values
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f96numeric333 unique values
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f97numeric340 unique values
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f98numeric354 unique values
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f99numeric181 unique values
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f100numeric331 unique values
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f101numeric255 unique values
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f102numeric255 unique values
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f103numeric396 unique values
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f104numeric337 unique values
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f105numeric277 unique values
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f106numeric382 unique values
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f107numeric319 unique values
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f108numeric388 unique values
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f109numeric328 unique values
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f110numeric268 unique values
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f111numeric292 unique values
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f112numeric406 unique values
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f113numeric368 unique values
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f114numeric337 unique values
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f115numeric402 unique values
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f116numeric406 unique values
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f117numeric351 unique values
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f118numeric354 unique values
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f119numeric352 unique values
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f120numeric347 unique values
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f121numeric299 unique values
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f122numeric314 unique values
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f123numeric353 unique values
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f124numeric277 unique values
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f125numeric327 unique values
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f126numeric246 unique values
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f127numeric435 unique values
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f128numeric405 unique values
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f129numeric415 unique values
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f130numeric253 unique values
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f131numeric235 unique values
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f132numeric320 unique values
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f133numeric416 unique values
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f134numeric393 unique values
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f135numeric394 unique values
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f136numeric267 unique values
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f137numeric345 unique values
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f138numeric301 unique values
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f139numeric396 unique values
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f140numeric414 unique values
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f141numeric386 unique values
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f142numeric303 unique values
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f143numeric331 unique values
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f144numeric311 unique values
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f145numeric150 unique values
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f146numeric247 unique values
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f147numeric144 unique values
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f148numeric294 unique values
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f149numeric295 unique values
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f150numeric329 unique values
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f151numeric197 unique values
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f152numeric184 unique values
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f153numeric151 unique values
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f154numeric257 unique values
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f155numeric323 unique values
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f156numeric286 unique values
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f157numeric258 unique values
0 missing
f158numeric398 unique values
0 missing
f159numeric386 unique values
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f160numeric278 unique values
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f161numeric354 unique values
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f162numeric281 unique values
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f163numeric292 unique values
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f164numeric172 unique values
0 missing
f165numeric352 unique values
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f166numeric385 unique values
0 missing
Show first 100 features

107 properties

NumberOfInstances
6598
Number of instances (rows) of the dataset.
NumberOfFeatures
168
Number of attributes (columns) of the dataset.
NumberOfClasses
2
Number of distinct values of the target attribute (if it is nominal).
NumberOfMissingValues
0
Number of missing values in the dataset.
NumberOfInstancesWithMissingValues
0
Number of instances with at least one value missing.
NumberOfNumericFeatures
166
Number of numeric attributes.
NumberOfSymbolicFeatures
2
Number of nominal attributes.
AutoCorrelation
1
Average class difference between consecutive instances.
CfsSubsetEval_DecisionStumpAUC
1
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.DecisionStump -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W
CfsSubsetEval_DecisionStumpErrRate
0
Error rate achieved by the landmarker weka.classifiers.trees.DecisionStump -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W
CfsSubsetEval_DecisionStumpKappa
1
Kappa coefficient achieved by the landmarker weka.classifiers.trees.DecisionStump -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W
CfsSubsetEval_NaiveBayesAUC
1
Area Under the ROC Curve achieved by the landmarker weka.classifiers.bayes.NaiveBayes -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W
CfsSubsetEval_NaiveBayesErrRate
0
Error rate achieved by the landmarker weka.classifiers.bayes.NaiveBayes -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W
CfsSubsetEval_NaiveBayesKappa
1
Kappa coefficient achieved by the landmarker weka.classifiers.bayes.NaiveBayes -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W
CfsSubsetEval_kNN1NAUC
1
Area Under the ROC Curve achieved by the landmarker weka.classifiers.lazy.IBk -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W
CfsSubsetEval_kNN1NErrRate
0
Error rate achieved by the landmarker weka.classifiers.lazy.IBk -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W
CfsSubsetEval_kNN1NKappa
1
Kappa coefficient achieved by the landmarker weka.classifiers.lazy.IBk -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W
ClassEntropy
0.62
Entropy of the target attribute values.
DecisionStumpAUC
0.61
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.DecisionStump
DecisionStumpErrRate
0.12
Error rate achieved by the landmarker weka.classifiers.trees.DecisionStump
DecisionStumpKappa
0.31
Kappa coefficient achieved by the landmarker weka.classifiers.trees.DecisionStump
Dimensionality
0.03
Number of attributes divided by the number of instances.
EquivalentNumberOfAtts
1
Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.
J48.00001.AUC
0.99
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .00001
J48.00001.ErrRate
0
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .00001
J48.00001.Kappa
0.98
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .00001
J48.0001.AUC
0.99
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .0001
J48.0001.ErrRate
0
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .0001
J48.0001.Kappa
0.98
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .0001
J48.001.AUC
0.99
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .001
J48.001.ErrRate
0
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .001
J48.001.Kappa
0.98
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .001
MajorityClassPercentage
84.59
Percentage of instances belonging to the most frequent class.
MajorityClassSize
5581
Number of instances belonging to the most frequent class.
MaxAttributeEntropy
4.58
Maximum entropy among attributes.
MaxKurtosisOfNumericAtts
51.14
Maximum kurtosis among attributes of the numeric type.
MaxMeansOfNumericAtts
201.76
Maximum of means among attributes of the numeric type.
MaxMutualInformation
0.62
Maximum mutual information between the nominal attributes and the target attribute.
MaxNominalAttDistinctValues
102
The maximum number of distinct values among attributes of the nominal type.
MaxSkewnessOfNumericAtts
6.32
Maximum skewness among attributes of the numeric type.
MaxStdDevOfNumericAtts
131.33
Maximum standard deviation of attributes of the numeric type.
MeanAttributeEntropy
4.58
Average entropy of the attributes.
MeanKurtosisOfNumericAtts
1.71
Mean kurtosis among attributes of the numeric type.
MeanMeansOfNumericAtts
-46.01
Mean of means among attributes of the numeric type.
MeanMutualInformation
0.62
Average mutual information between the nominal attributes and the target attribute.
MeanNoiseToSignalRatio
6.39
An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.
MeanNominalAttDistinctValues
52
Average number of distinct values among the attributes of the nominal type.
MeanSkewnessOfNumericAtts
0.48
Mean skewness among attributes of the numeric type.
MeanStdDevOfNumericAtts
85.95
Mean standard deviation of attributes of the numeric type.
MinAttributeEntropy
4.58
Minimal entropy among attributes.
MinKurtosisOfNumericAtts
-1.62
Minimum kurtosis among attributes of the numeric type.
MinMeansOfNumericAtts
-265.69
Minimum of means among attributes of the numeric type.
MinMutualInformation
0.62
Minimal mutual information between the nominal attributes and the target attribute.
MinNominalAttDistinctValues
2
The minimal number of distinct values among attributes of the nominal type.
MinSkewnessOfNumericAtts
-1.44
Minimum skewness among attributes of the numeric type.
MinStdDevOfNumericAtts
13.98
Minimum standard deviation of attributes of the numeric type.
MinorityClassPercentage
15.41
Percentage of instances belonging to the least frequent class.
MinorityClassSize
1017
Number of instances belonging to the least frequent class.
NaiveBayesAUC
0.9
Area Under the ROC Curve achieved by the landmarker weka.classifiers.bayes.NaiveBayes
NaiveBayesErrRate
0.15
Error rate achieved by the landmarker weka.classifiers.bayes.NaiveBayes
NaiveBayesKappa
0.52
Kappa coefficient achieved by the landmarker weka.classifiers.bayes.NaiveBayes
NumberOfBinaryFeatures
1
Number of binary attributes.
PercentageOfBinaryFeatures
0.6
Percentage of binary attributes.
PercentageOfInstancesWithMissingValues
0
Percentage of instances having missing values.
PercentageOfMissingValues
0
Percentage of missing values.
PercentageOfNumericFeatures
98.81
Percentage of numeric attributes.
PercentageOfSymbolicFeatures
1.19
Percentage of nominal attributes.
Quartile1AttributeEntropy
4.58
First quartile of entropy among attributes.
Quartile1KurtosisOfNumericAtts
-1.04
First quartile of kurtosis among attributes of the numeric type.
Quartile1MeansOfNumericAtts
-87.33
First quartile of means among attributes of the numeric type.
Quartile1MutualInformation
0.62
First quartile of mutual information between the nominal attributes and the target attribute.
Quartile1SkewnessOfNumericAtts
-0.2
First quartile of skewness among attributes of the numeric type.
Quartile1StdDevOfNumericAtts
69.42
First quartile of standard deviation of attributes of the numeric type.
Quartile2AttributeEntropy
4.58
Second quartile (Median) of entropy among attributes.
Quartile2KurtosisOfNumericAtts
-0.51
Second quartile (Median) of kurtosis among attributes of the numeric type.
Quartile2MeansOfNumericAtts
-54.41
Second quartile (Median) of means among attributes of the numeric type.
Quartile2MutualInformation
0.62
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
Quartile2SkewnessOfNumericAtts
0.1
Second quartile (Median) of skewness among attributes of the numeric type.
Quartile2StdDevOfNumericAtts
85.43
Second quartile (Median) of standard deviation of attributes of the numeric type.
Quartile3AttributeEntropy
4.58
Third quartile of entropy among attributes.
Quartile3KurtosisOfNumericAtts
1.11
Third quartile of kurtosis among attributes of the numeric type.
Quartile3MeansOfNumericAtts
-3.12
Third quartile of means among attributes of the numeric type.
Quartile3MutualInformation
0.62
Third quartile of mutual information between the nominal attributes and the target attribute.
Quartile3SkewnessOfNumericAtts
0.66
Third quartile of skewness among attributes of the numeric type.
Quartile3StdDevOfNumericAtts
101.74
Third quartile of standard deviation of attributes of the numeric type.
REPTreeDepth1AUC
1
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 1
REPTreeDepth1ErrRate
0
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 1
REPTreeDepth1Kappa
1
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 1
REPTreeDepth2AUC
1
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 2
REPTreeDepth2ErrRate
0
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 2
REPTreeDepth2Kappa
1
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 2
REPTreeDepth3AUC
1
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 3
REPTreeDepth3ErrRate
0
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 3
REPTreeDepth3Kappa
1
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 3
RandomTreeDepth1AUC
0.93
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
RandomTreeDepth1ErrRate
0.03
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
RandomTreeDepth1Kappa
0.87
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
RandomTreeDepth2AUC
0.93
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
RandomTreeDepth2ErrRate
0.03
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
RandomTreeDepth2Kappa
0.87
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
RandomTreeDepth3AUC
0.93
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
RandomTreeDepth3ErrRate
0.03
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
RandomTreeDepth3Kappa
0.87
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
StdvNominalAttDistinctValues
70.71
Standard deviation of the number of distinct values among attributes of the nominal type.
kNN1NAUC
0.99
Area Under the ROC Curve achieved by the landmarker weka.classifiers.lazy.IBk
kNN1NErrRate
0.01
Error rate achieved by the landmarker weka.classifiers.lazy.IBk
kNN1NKappa
0.96
Kappa coefficient achieved by the landmarker weka.classifiers.lazy.IBk
Show all 107 properties

11 tasks

Supervised Classification on musk
0 runs - estimation_procedure: 5 times 2-fold Crossvalidation - target_feature: class
Supervised Classification on musk
0 runs - estimation_procedure: Test on Training Data - target_feature: class
Supervised Classification on musk
0 runs - estimation_procedure: Leave one out - target_feature: class
Supervised Classification on musk
0 runs - estimation_procedure: 10 times 10-fold Crossvalidation - target_feature: class
Supervised Classification on musk
0 runs - estimation_procedure: 33% Holdout set - target_feature: class
Supervised Classification on musk
0 runs - estimation_procedure: 10-fold Crossvalidation - target_feature: class
Supervised Classification on musk
0 runs - estimation_procedure: 20% Holdout (Ordered) - target_feature: class
Supervised Classification on musk
0 runs - estimation_procedure: 10% Holdout set - target_feature: class
Learning Curve on musk
0 runs - estimation_procedure: 10 times 10-fold Learning Curve - target_feature: class
Learning Curve on musk
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
Supervised Data Stream Classification on musk
0 runs - estimation_procedure: Interleaved Test then Train - target_feature: class
Define a new task