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dbworld-subjects

active ARFF Publicly available Visibility: public Uploaded 01-06-2015 by Rafael Gomes Mantovani
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Author: Michele Filannino Source: UCI Please cite: * Dataset: DBworld e-mails data set Task: dbworld-subjects * Source: Michele Filannino, PhD University of Manchester Centre for Doctoral Training Email: filannim_AT_cs.man.ac.uk * Data Set Information: I collected 64 e-mails from DBWorld newsletter and I used them to train different algorithms in order to classify between 'announces of conferences' and 'everything else'. I used a binary bag-of-words representation with a stopword removal pre-processing task before. * Attribute Information: Each attribute corresponds to a precise word or stem in the entire data set vocabulary (I used bag-of-words representation). * Relevant Papers: Michele Filannino, 'DBWorld e-mail classification using a very small corpus', Project of Machine Learning course, University of Manchester, 2011.

243 features

Class (target)	nominal	2 unique values 0 missing
V1	nominal	2 unique values 0 missing
V2	nominal	2 unique values 0 missing
V3	nominal	2 unique values 0 missing
V4	nominal	2 unique values 0 missing
V5	nominal	2 unique values 0 missing
V6	nominal	2 unique values 0 missing
V7	nominal	2 unique values 0 missing
V8	nominal	2 unique values 0 missing
V9	nominal	2 unique values 0 missing
V10	nominal	2 unique values 0 missing
V11	nominal	2 unique values 0 missing
V12	nominal	2 unique values 0 missing
V13	nominal	2 unique values 0 missing
V14	nominal	2 unique values 0 missing
V15	nominal	2 unique values 0 missing
V16	nominal	2 unique values 0 missing
V17	nominal	2 unique values 0 missing
V18	nominal	2 unique values 0 missing
V19	nominal	2 unique values 0 missing
V20	nominal	2 unique values 0 missing
V21	nominal	2 unique values 0 missing
V22	nominal	2 unique values 0 missing
V23	nominal	2 unique values 0 missing
V24	nominal	2 unique values 0 missing
V25	nominal	2 unique values 0 missing
V26	nominal	2 unique values 0 missing
V27	nominal	2 unique values 0 missing
V28	nominal	2 unique values 0 missing
V29	nominal	2 unique values 0 missing
V30	nominal	2 unique values 0 missing
V31	nominal	2 unique values 0 missing
V32	nominal	2 unique values 0 missing
V33	nominal	2 unique values 0 missing
V34	nominal	2 unique values 0 missing
V35	nominal	2 unique values 0 missing
V36	nominal	2 unique values 0 missing
V37	nominal	2 unique values 0 missing
V38	nominal	2 unique values 0 missing
V39	nominal	2 unique values 0 missing
V40	nominal	2 unique values 0 missing
V41	nominal	2 unique values 0 missing
V42	nominal	2 unique values 0 missing
V43	nominal	2 unique values 0 missing
V44	nominal	2 unique values 0 missing
V45	nominal	2 unique values 0 missing
V46	nominal	2 unique values 0 missing
V47	nominal	2 unique values 0 missing
V48	nominal	2 unique values 0 missing
V49	nominal	2 unique values 0 missing
V50	nominal	2 unique values 0 missing
V51	nominal	2 unique values 0 missing
V52	nominal	2 unique values 0 missing
V53	nominal	2 unique values 0 missing
V54	nominal	2 unique values 0 missing
V55	nominal	2 unique values 0 missing
V56	nominal	2 unique values 0 missing
V57	nominal	2 unique values 0 missing
V58	nominal	2 unique values 0 missing
V59	nominal	2 unique values 0 missing
V60	nominal	2 unique values 0 missing
V61	nominal	2 unique values 0 missing
V62	nominal	2 unique values 0 missing
V63	nominal	2 unique values 0 missing
V64	nominal	2 unique values 0 missing
V65	nominal	2 unique values 0 missing
V66	nominal	2 unique values 0 missing
V67	nominal	2 unique values 0 missing
V68	nominal	2 unique values 0 missing
V69	nominal	2 unique values 0 missing
V70	nominal	2 unique values 0 missing
V71	nominal	2 unique values 0 missing
V72	nominal	2 unique values 0 missing
V73	nominal	2 unique values 0 missing
V74	nominal	2 unique values 0 missing
V75	nominal	2 unique values 0 missing
V76	nominal	2 unique values 0 missing
V77	nominal	2 unique values 0 missing
V78	nominal	2 unique values 0 missing
V79	nominal	2 unique values 0 missing
V80	nominal	2 unique values 0 missing
V81	nominal	2 unique values 0 missing
V82	nominal	2 unique values 0 missing
V83	nominal	2 unique values 0 missing
V84	nominal	2 unique values 0 missing
V85	nominal	2 unique values 0 missing
V86	nominal	2 unique values 0 missing
V87	nominal	2 unique values 0 missing
V88	nominal	2 unique values 0 missing
V89	nominal	2 unique values 0 missing
V90	nominal	2 unique values 0 missing
V91	nominal	2 unique values 0 missing
V92	nominal	2 unique values 0 missing
V93	nominal	2 unique values 0 missing
V94	nominal	2 unique values 0 missing
V95	nominal	2 unique values 0 missing
V96	nominal	2 unique values 0 missing
V97	nominal	2 unique values 0 missing
V98	nominal	2 unique values 0 missing
V99	nominal	2 unique values 0 missing
V100	nominal	2 unique values 0 missing
V101	nominal	2 unique values 0 missing
V102	nominal	2 unique values 0 missing
V103	nominal	2 unique values 0 missing
V104	nominal	2 unique values 0 missing
V105	nominal	2 unique values 0 missing
V106	nominal	2 unique values 0 missing
V107	nominal	2 unique values 0 missing
V108	nominal	2 unique values 0 missing
V109	nominal	2 unique values 0 missing
V110	nominal	2 unique values 0 missing
V111	nominal	2 unique values 0 missing
V112	nominal	2 unique values 0 missing
V113	nominal	2 unique values 0 missing
V114	nominal	2 unique values 0 missing
V115	nominal	2 unique values 0 missing
V116	nominal	2 unique values 0 missing
V117	nominal	2 unique values 0 missing
V118	nominal	2 unique values 0 missing
V119	nominal	2 unique values 0 missing
V120	nominal	2 unique values 0 missing
V121	nominal	2 unique values 0 missing
V122	nominal	2 unique values 0 missing
V123	nominal	2 unique values 0 missing
V124	nominal	2 unique values 0 missing
V125	nominal	2 unique values 0 missing
V126	nominal	2 unique values 0 missing
V127	nominal	2 unique values 0 missing
V128	nominal	2 unique values 0 missing
V129	nominal	2 unique values 0 missing
V130	nominal	2 unique values 0 missing
V131	nominal	2 unique values 0 missing
V132	nominal	2 unique values 0 missing
V133	nominal	2 unique values 0 missing
V134	nominal	2 unique values 0 missing
V135	nominal	2 unique values 0 missing
V136	nominal	2 unique values 0 missing
V137	nominal	2 unique values 0 missing
V138	nominal	2 unique values 0 missing
V139	nominal	2 unique values 0 missing
V140	nominal	2 unique values 0 missing
V141	nominal	2 unique values 0 missing
V142	nominal	2 unique values 0 missing
V143	nominal	2 unique values 0 missing
V144	nominal	2 unique values 0 missing
V145	nominal	2 unique values 0 missing
V146	nominal	2 unique values 0 missing
V147	nominal	2 unique values 0 missing
V148	nominal	2 unique values 0 missing
V149	nominal	2 unique values 0 missing
V150	nominal	2 unique values 0 missing
V151	nominal	2 unique values 0 missing
V152	nominal	2 unique values 0 missing
V153	nominal	2 unique values 0 missing
V154	nominal	2 unique values 0 missing
V155	nominal	2 unique values 0 missing
V156	nominal	2 unique values 0 missing
V157	nominal	2 unique values 0 missing
V158	nominal	2 unique values 0 missing
V159	nominal	2 unique values 0 missing
V160	nominal	2 unique values 0 missing
V161	nominal	2 unique values 0 missing
V162	nominal	2 unique values 0 missing
V163	nominal	2 unique values 0 missing
V164	nominal	2 unique values 0 missing
V165	nominal	2 unique values 0 missing
V166	nominal	2 unique values 0 missing
V167	nominal	2 unique values 0 missing
V168	nominal	2 unique values 0 missing
V169	nominal	2 unique values 0 missing
V170	nominal	2 unique values 0 missing
V171	nominal	2 unique values 0 missing
V172	nominal	2 unique values 0 missing
V173	nominal	2 unique values 0 missing
V174	nominal	2 unique values 0 missing
V175	nominal	2 unique values 0 missing
V176	nominal	2 unique values 0 missing
V177	nominal	2 unique values 0 missing
V178	nominal	2 unique values 0 missing
V179	nominal	2 unique values 0 missing
V180	nominal	2 unique values 0 missing
V181	nominal	2 unique values 0 missing
V182	nominal	2 unique values 0 missing
V183	nominal	2 unique values 0 missing
V184	nominal	2 unique values 0 missing
V185	nominal	2 unique values 0 missing
V186	nominal	2 unique values 0 missing
V187	nominal	2 unique values 0 missing
V188	nominal	2 unique values 0 missing
V189	nominal	2 unique values 0 missing
V190	nominal	2 unique values 0 missing
V191	nominal	2 unique values 0 missing
V192	nominal	2 unique values 0 missing
V193	nominal	2 unique values 0 missing
V194	nominal	2 unique values 0 missing
V195	nominal	2 unique values 0 missing
V196	nominal	2 unique values 0 missing
V197	nominal	2 unique values 0 missing
V198	nominal	2 unique values 0 missing
V199	nominal	2 unique values 0 missing
V200	nominal	2 unique values 0 missing
V201	nominal	2 unique values 0 missing
V202	nominal	2 unique values 0 missing
V203	nominal	2 unique values 0 missing
V204	nominal	2 unique values 0 missing
V205	nominal	2 unique values 0 missing
V206	nominal	2 unique values 0 missing
V207	nominal	2 unique values 0 missing
V208	nominal	2 unique values 0 missing
V209	nominal	2 unique values 0 missing
V210	nominal	2 unique values 0 missing
V211	nominal	2 unique values 0 missing
V212	nominal	2 unique values 0 missing
V213	nominal	2 unique values 0 missing
V214	nominal	2 unique values 0 missing
V215	nominal	2 unique values 0 missing
V216	nominal	2 unique values 0 missing
V217	nominal	2 unique values 0 missing
V218	nominal	2 unique values 0 missing
V219	nominal	2 unique values 0 missing
V220	nominal	2 unique values 0 missing
V221	nominal	2 unique values 0 missing
V222	nominal	2 unique values 0 missing
V223	nominal	2 unique values 0 missing
V224	nominal	2 unique values 0 missing
V225	nominal	2 unique values 0 missing
V226	nominal	2 unique values 0 missing
V227	nominal	2 unique values 0 missing
V228	nominal	2 unique values 0 missing
V229	nominal	2 unique values 0 missing
V230	nominal	2 unique values 0 missing
V231	nominal	2 unique values 0 missing
V232	nominal	2 unique values 0 missing
V233	nominal	2 unique values 0 missing
V234	nominal	2 unique values 0 missing
V235	nominal	2 unique values 0 missing
V236	nominal	2 unique values 0 missing
V237	nominal	2 unique values 0 missing
V238	nominal	2 unique values 0 missing
V239	nominal	2 unique values 0 missing
V240	nominal	2 unique values 0 missing
V241	nominal	2 unique values 0 missing
V242	nominal	2 unique values 0 missing

Show first 100 features

107 properties

NumberOfInstances

Number of instances (rows) of the dataset.

NumberOfFeatures

243

Number of attributes (columns) of the dataset.

NumberOfClasses

Number of distinct values of the target attribute (if it is nominal).

NumberOfMissingValues

Number of missing values in the dataset.

NumberOfInstancesWithMissingValues

Number of instances with at least one value missing.

NumberOfNumericFeatures

Number of numeric attributes.

NumberOfSymbolicFeatures

243

Number of nominal attributes.

REPTreeDepth3Kappa

0.45

Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 3

DecisionStumpKappa

0.25

Kappa coefficient achieved by the landmarker weka.classifiers.trees.DecisionStump

MaxMeansOfNumericAtts

Maximum of means among attributes of the numeric type.

MinMutualInformation

Minimal mutual information between the nominal attributes and the target attribute.

Quartile2SkewnessOfNumericAtts

Second quartile (Median) of skewness among attributes of the numeric type.

RandomTreeDepth1AUC

0.76

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1

Dimensionality

3.8

Number of attributes divided by the number of instances.

MaxMutualInformation

0.23

Maximum mutual information between the nominal attributes and the target attribute.

MinNominalAttDistinctValues

The minimal number of distinct values among attributes of the nominal type.

PercentageOfBinaryFeatures

100

Percentage of binary attributes.

Quartile2StdDevOfNumericAtts

Second quartile (Median) of standard deviation of attributes of the numeric type.

RandomTreeDepth1ErrRate

0.23

Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1

EquivalentNumberOfAtts

44.94

Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.

MaxNominalAttDistinctValues

The maximum number of distinct values among attributes of the nominal type.

MinSkewnessOfNumericAtts

Minimum skewness among attributes of the numeric type.

PercentageOfInstancesWithMissingValues

Percentage of instances having missing values.

Quartile3AttributeEntropy

0.2

Third quartile of entropy among attributes.

RandomTreeDepth1Kappa

0.52

Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1

J48.00001.AUC

0.79

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .00001

MaxSkewnessOfNumericAtts

Maximum skewness among attributes of the numeric type.

MinStdDevOfNumericAtts

Minimum standard deviation of attributes of the numeric type.

PercentageOfMissingValues

Percentage of missing values.

Quartile3KurtosisOfNumericAtts

Third quartile of kurtosis among attributes of the numeric type.

AutoCorrelation

0.94

Average class difference between consecutive instances.

RandomTreeDepth2AUC

0.76

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2

J48.00001.ErrRate

0.28

Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .00001

MaxStdDevOfNumericAtts

Maximum standard deviation of attributes of the numeric type.

MinorityClassPercentage

45.31

Percentage of instances belonging to the least frequent class.

PercentageOfNumericFeatures

Percentage of numeric attributes.

Quartile3MeansOfNumericAtts

Third quartile of means among attributes of the numeric type.

CfsSubsetEval_DecisionStumpAUC

0.82

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

RandomTreeDepth2ErrRate

0.23

Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2

J48.00001.Kappa

0.45

Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .00001

MeanAttributeEntropy

0.16

Average entropy of the attributes.

MinorityClassSize

Number of instances belonging to the least frequent class.

PercentageOfSymbolicFeatures

100

Percentage of nominal attributes.

Quartile3MutualInformation

0.02

Third quartile of mutual information between the nominal attributes and the target attribute.

CfsSubsetEval_DecisionStumpErrRate

0.23

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

RandomTreeDepth2Kappa

0.52

Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2

J48.0001.AUC

0.79

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .0001

MeanKurtosisOfNumericAtts

Mean kurtosis among attributes of the numeric type.

NaiveBayesAUC

0.93

Area Under the ROC Curve achieved by the landmarker weka.classifiers.bayes.NaiveBayes

Quartile1AttributeEntropy

0.12

First quartile of entropy among attributes.

Quartile3SkewnessOfNumericAtts

Third quartile of skewness among attributes of the numeric type.

CfsSubsetEval_DecisionStumpKappa

0.54

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

RandomTreeDepth3AUC

0.76

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3

J48.0001.ErrRate

0.28

Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .0001

MeanMeansOfNumericAtts

Mean of means among attributes of the numeric type.

NaiveBayesErrRate

0.23

Error rate achieved by the landmarker weka.classifiers.bayes.NaiveBayes

Quartile1KurtosisOfNumericAtts

First quartile of kurtosis among attributes of the numeric type.

Quartile3StdDevOfNumericAtts

Third quartile of standard deviation of attributes of the numeric type.

CfsSubsetEval_NaiveBayesAUC

0.82

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

RandomTreeDepth3ErrRate

0.23

Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3

J48.0001.Kappa

0.45

Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .0001

MeanMutualInformation

0.02

Average mutual information between the nominal attributes and the target attribute.

NaiveBayesKappa

0.51

Kappa coefficient achieved by the landmarker weka.classifiers.bayes.NaiveBayes

Quartile1MeansOfNumericAtts

First quartile of means among attributes of the numeric type.

REPTreeDepth1AUC

0.79

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 1

CfsSubsetEval_NaiveBayesErrRate

0.23

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

RandomTreeDepth3Kappa

0.52

Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3

J48.001.AUC

0.79

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .001

MeanNoiseToSignalRatio

6.38

An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.

NumberOfBinaryFeatures

243

Number of binary attributes.

Quartile1MutualInformation

0.01

First quartile of mutual information between the nominal attributes and the target attribute.

REPTreeDepth1ErrRate

0.28

Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 1

CfsSubsetEval_NaiveBayesKappa

0.54

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

0.82

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

StdvNominalAttDistinctValues

Standard deviation of the number of distinct values among attributes of the nominal type.

J48.001.ErrRate

0.28

Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .001

MeanNominalAttDistinctValues

Average number of distinct values among the attributes of the nominal type.

Quartile1SkewnessOfNumericAtts

First quartile of skewness among attributes of the numeric type.

REPTreeDepth1Kappa

0.45

Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 1

CfsSubsetEval_kNN1NErrRate

0.23

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

kNN1NAUC

0.89

Area Under the ROC Curve achieved by the landmarker weka.classifiers.lazy.IBk

J48.001.Kappa

0.45

Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .001

MeanSkewnessOfNumericAtts

Mean skewness among attributes of the numeric type.

Quartile1StdDevOfNumericAtts

First quartile of standard deviation of attributes of the numeric type.

REPTreeDepth2AUC

0.79

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 2

CfsSubsetEval_kNN1NKappa

0.54

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

kNN1NErrRate

0.19

Error rate achieved by the landmarker weka.classifiers.lazy.IBk

MajorityClassPercentage

54.69

Percentage of instances belonging to the most frequent class.

MeanStdDevOfNumericAtts

Mean standard deviation of attributes of the numeric type.

Quartile2AttributeEntropy

0.12

Second quartile (Median) of entropy among attributes.

REPTreeDepth2ErrRate

0.28

Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 2

ClassEntropy

0.99

Entropy of the target attribute values.

kNN1NKappa

0.63

Kappa coefficient achieved by the landmarker weka.classifiers.lazy.IBk

MajorityClassSize

Number of instances belonging to the most frequent class.

MinAttributeEntropy

0.12

Minimal entropy among attributes.

Quartile2KurtosisOfNumericAtts

Second quartile (Median) of kurtosis among attributes of the numeric type.

REPTreeDepth2Kappa

0.45

Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 2

REPTreeDepth3AUC

0.79

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 3

DecisionStumpAUC

0.67

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.DecisionStump

MaxAttributeEntropy

0.81

Maximum entropy among attributes.

MinKurtosisOfNumericAtts

Minimum kurtosis among attributes of the numeric type.

Quartile2MeansOfNumericAtts

Second quartile (Median) of means among attributes of the numeric type.

REPTreeDepth3ErrRate

0.28

Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 3

DecisionStumpErrRate

0.38

Error rate achieved by the landmarker weka.classifiers.trees.DecisionStump

MaxKurtosisOfNumericAtts

Maximum kurtosis among attributes of the numeric type.

MinMeansOfNumericAtts

Minimum of means among attributes of the numeric type.

Quartile2MutualInformation

0.02

Second quartile (Median) of mutual information between the nominal attributes and the target attribute.

Show all 107 properties

13 tasks

Supervised Classification on dbworld-subjects

31 runs - estimation_procedure: 10-fold Crossvalidation - target_feature: Class

Supervised Classification on dbworld-subjects

9 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: Class

Clustering on dbworld-subjects