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dbworld-bodies-stemmed

dbworld-bodies-stemmed

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Author: Michele Filannino Source: UCI Please cite: * Dataset: DBworld e-mails data set Task: dbworld-bodies-stemmed * 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.

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0 missing
V1063nominal2 unique values
0 missing
V1319nominal2 unique values
0 missing
V1575nominal2 unique values
0 missing
V1831nominal2 unique values
0 missing
V2087nominal2 unique values
0 missing
V2343nominal2 unique values
0 missing
V2599nominal2 unique values
0 missing
V2855nominal2 unique values
0 missing
V3111nominal2 unique values
0 missing
V3367nominal2 unique values
0 missing
V3623nominal2 unique values
0 missing
V40nominal2 unique values
0 missing
V296nominal2 unique values
0 missing
V552nominal2 unique values
0 missing
V808nominal2 unique values
0 missing
V1064nominal2 unique values
0 missing
V1320nominal2 unique values
0 missing
V1576nominal2 unique values
0 missing
V1832nominal2 unique values
0 missing
V2088nominal2 unique values
0 missing
V2344nominal2 unique values
0 missing
V2600nominal2 unique values
0 missing
V2856nominal2 unique values
0 missing
V3112nominal2 unique values
0 missing
V3368nominal2 unique values
0 missing
V3624nominal2 unique values
0 missing
V41nominal2 unique values
0 missing
V297nominal2 unique values
0 missing
V553nominal2 unique values
0 missing
V809nominal2 unique values
0 missing
V1065nominal2 unique values
0 missing
V1321nominal2 unique values
0 missing
V1577nominal2 unique values
0 missing
V1833nominal2 unique values
0 missing
V2089nominal2 unique values
0 missing
V2345nominal2 unique values
0 missing
V2601nominal2 unique values
0 missing
V2857nominal2 unique values
0 missing
V3113nominal2 unique values
0 missing
V3369nominal2 unique values
0 missing
V3625nominal2 unique values
0 missing
V42nominal2 unique values
0 missing
V298nominal2 unique values
0 missing
V554nominal2 unique values
0 missing
V810nominal2 unique values
0 missing
V1066nominal2 unique values
0 missing
V1322nominal2 unique values
0 missing
V1578nominal2 unique values
0 missing
V1834nominal2 unique values
0 missing
V2090nominal2 unique values
0 missing
V2346nominal2 unique values
0 missing
V2602nominal2 unique values
0 missing
V2858nominal2 unique values
0 missing
V3114nominal2 unique values
0 missing
V3370nominal2 unique values
0 missing
V3626nominal2 unique values
0 missing
V43nominal2 unique values
0 missing
V299nominal2 unique values
0 missing
V555nominal2 unique values
0 missing
V811nominal2 unique values
0 missing
V1067nominal2 unique values
0 missing
V1323nominal2 unique values
0 missing
V1579nominal2 unique values
0 missing
V1835nominal2 unique values
0 missing
V2091nominal2 unique values
0 missing
V2347nominal2 unique values
0 missing
V2603nominal2 unique values
0 missing
V2859nominal2 unique values
0 missing
V3115nominal2 unique values
0 missing
V3371nominal2 unique values
0 missing
V3627nominal2 unique values
0 missing
V44nominal2 unique values
0 missing
V300nominal2 unique values
0 missing
V556nominal2 unique values
0 missing
V812nominal2 unique values
0 missing
V1068nominal2 unique values
0 missing
V1324nominal2 unique values
0 missing
V1580nominal2 unique values
0 missing
V1836nominal2 unique values
0 missing
V2092nominal2 unique values
0 missing
V2348nominal2 unique values
0 missing
V2604nominal2 unique values
0 missing
V2860nominal2 unique values
0 missing
V3116nominal2 unique values
0 missing
V3372nominal2 unique values
0 missing
V3628nominal2 unique values
0 missing
V45nominal2 unique values
0 missing
V301nominal2 unique values
0 missing
V557nominal2 unique values
0 missing
V813nominal2 unique values
0 missing
V1069nominal2 unique values
0 missing
V1325nominal2 unique values
0 missing
V1581nominal2 unique values
0 missing
V1837nominal2 unique values
0 missing
V2093nominal2 unique values
0 missing
V2349nominal2 unique values
0 missing
V2605nominal2 unique values
0 missing
V2861nominal2 unique values
0 missing
V3117nominal2 unique values
0 missing
V3373nominal2 unique values
0 missing
V3629nominal2 unique values
0 missing
V46nominal2 unique values
0 missing
V302nominal2 unique values
0 missing
V558nominal2 unique values
0 missing
V814nominal2 unique values
0 missing
V1070nominal2 unique values
0 missing
V1326nominal2 unique values
0 missing
V1582nominal2 unique values
0 missing
V1838nominal2 unique values
0 missing
V2094nominal2 unique values
0 missing
V2350nominal2 unique values
0 missing
V2606nominal2 unique values
0 missing
V2862nominal2 unique values
0 missing
V3118nominal2 unique values
0 missing
V3374nominal2 unique values
0 missing
V3630nominal2 unique values
0 missing
V47nominal2 unique values
0 missing
V303nominal2 unique values
0 missing
V559nominal2 unique values
0 missing
V815nominal2 unique values
0 missing
V1071nominal2 unique values
0 missing
V1327nominal2 unique values
0 missing
V1583nominal2 unique values
0 missing
V1839nominal2 unique values
0 missing
V2095nominal2 unique values
0 missing
V2351nominal2 unique values
0 missing
V2607nominal2 unique values
0 missing
V2863nominal2 unique values
0 missing
V3119nominal2 unique values
0 missing
V3375nominal2 unique values
0 missing
V3631nominal2 unique values
0 missing
V48nominal2 unique values
0 missing
V304nominal2 unique values
0 missing
V560nominal2 unique values
0 missing
V816nominal2 unique values
0 missing
V1072nominal2 unique values
0 missing
V1328nominal2 unique values
0 missing
V1584nominal2 unique values
0 missing
V1840nominal2 unique values
0 missing
V2096nominal2 unique values
0 missing
V2352nominal2 unique values
0 missing
V2608nominal2 unique values
0 missing
V2864nominal2 unique values
0 missing
V3120nominal2 unique values
0 missing
V3376nominal2 unique values
0 missing
V3632nominal2 unique values
0 missing
V49nominal2 unique values
0 missing
V305nominal2 unique values
0 missing
V561nominal2 unique values
0 missing
V817nominal2 unique values
0 missing
V1073nominal2 unique values
0 missing
V1329nominal2 unique values
0 missing
V1585nominal2 unique values
0 missing
V1841nominal2 unique values
0 missing
V2097nominal2 unique values
0 missing
V2353nominal2 unique values
0 missing
V2609nominal2 unique values
0 missing
V2865nominal2 unique values
0 missing
V3121nominal2 unique values
0 missing
V3377nominal2 unique values
0 missing
V3633nominal2 unique values
0 missing
V50nominal2 unique values
0 missing
V306nominal2 unique values
0 missing
V562nominal2 unique values
0 missing
V818nominal2 unique values
0 missing
V1074nominal2 unique values
0 missing
V1330nominal2 unique values
0 missing
V1586nominal2 unique values
0 missing
V1842nominal2 unique values
0 missing
V2098nominal2 unique values
0 missing
V2354nominal2 unique values
0 missing
V2610nominal2 unique values
0 missing
V2866nominal2 unique values
0 missing
V3122nominal2 unique values
0 missing
V3378nominal2 unique values
0 missing
V3634nominal2 unique values
0 missing
V51nominal2 unique values
0 missing
V307nominal2 unique values
0 missing
V563nominal2 unique values
0 missing
V819nominal2 unique values
0 missing
V1075nominal2 unique values
0 missing
V1331nominal2 unique values
0 missing
V1587nominal2 unique values
0 missing
V1843nominal2 unique values
0 missing
V2099nominal2 unique values
0 missing
V2355nominal2 unique values
0 missing
V2611nominal2 unique values
0 missing
V2867nominal2 unique values
0 missing
V3123nominal2 unique values
0 missing
V3379nominal2 unique values
0 missing
V3635nominal2 unique values
0 missing
V52nominal2 unique values
0 missing
V308nominal2 unique values
0 missing
V564nominal2 unique values
0 missing
V820nominal2 unique values
0 missing
V1076nominal2 unique values
0 missing
V1332nominal2 unique values
0 missing
V1588nominal2 unique values
0 missing
V1844nominal2 unique values
0 missing
V2100nominal2 unique values
0 missing
V2356nominal2 unique values
0 missing
V2612nominal2 unique values
0 missing
V2868nominal2 unique values
0 missing
V3124nominal2 unique values
0 missing
V3380nominal2 unique values
0 missing
V3636nominal2 unique values
0 missing
V53nominal2 unique values
0 missing
V309nominal2 unique values
0 missing
V565nominal2 unique values
0 missing
V821nominal2 unique values
0 missing
V1077nominal2 unique values
0 missing
V1333nominal2 unique values
0 missing
V1589nominal2 unique values
0 missing
V1845nominal2 unique values
0 missing
V2101nominal2 unique values
0 missing
V2357nominal2 unique values
0 missing
V2613nominal2 unique values
0 missing
V2869nominal2 unique values
0 missing
V3125nominal2 unique values
0 missing
V3381nominal2 unique values
0 missing
V3637nominal2 unique values
0 missing
V54nominal2 unique values
0 missing
V310nominal2 unique values
0 missing
V566nominal2 unique values
0 missing
V822nominal2 unique values
0 missing
V1078nominal2 unique values
0 missing
V1334nominal2 unique values
0 missing
V1590nominal2 unique values
0 missing
V1846nominal2 unique values
0 missing
V2102nominal2 unique values
0 missing
V2358nominal2 unique values
0 missing
V2614nominal2 unique values
0 missing
V2870nominal2 unique values
0 missing
V3126nominal2 unique values
0 missing
V3382nominal2 unique values
0 missing
V3638nominal2 unique values
0 missing
V55nominal2 unique values
0 missing
V311nominal2 unique values
0 missing
V567nominal2 unique values
0 missing
V823nominal2 unique values
0 missing
V1079nominal2 unique values
0 missing
V1335nominal2 unique values
0 missing
V1591nominal2 unique values
0 missing
V1847nominal2 unique values
0 missing
V2103nominal2 unique values
0 missing
V2359nominal2 unique values
0 missing
V2615nominal2 unique values
0 missing
V2871nominal2 unique values
0 missing
V3127nominal2 unique values
0 missing
V3383nominal2 unique values
0 missing
V3639nominal2 unique values
0 missing
V56nominal2 unique values
0 missing
V312nominal2 unique values
0 missing
V568nominal2 unique values
0 missing
V824nominal2 unique values
0 missing
V1080nominal2 unique values
0 missing
V1336nominal2 unique values
0 missing
V1592nominal2 unique values
0 missing
V1848nominal2 unique values
0 missing
V2104nominal2 unique values
0 missing
V2360nominal2 unique values
0 missing
V2616nominal2 unique values
0 missing
V2872nominal2 unique values
0 missing
V3128nominal2 unique values
0 missing
V3384nominal2 unique values
0 missing
V3640nominal2 unique values
0 missing
V57nominal2 unique values
0 missing
V313nominal2 unique values
0 missing
V569nominal2 unique values
0 missing
V825nominal2 unique values
0 missing
V1081nominal2 unique values
0 missing
V1337nominal2 unique values
0 missing
V1593nominal2 unique values
0 missing
V1849nominal2 unique values
0 missing
V2105nominal2 unique values
0 missing
V2361nominal2 unique values
0 missing
V2617nominal2 unique values
0 missing
V2873nominal2 unique values
0 missing
V3129nominal2 unique values
0 missing
V3385nominal2 unique values
0 missing
V3641nominal2 unique values
0 missing
V58nominal2 unique values
0 missing
V314nominal2 unique values
0 missing
V570nominal2 unique values
0 missing
V826nominal2 unique values
0 missing
V1082nominal2 unique values
0 missing
V1338nominal2 unique values
0 missing
V1594nominal2 unique values
0 missing
V1850nominal2 unique values
0 missing
V2106nominal2 unique values
0 missing
V2362nominal2 unique values
0 missing
V2618nominal2 unique values
0 missing
V2874nominal2 unique values
0 missing
V3130nominal2 unique values
0 missing
V3386nominal2 unique values
0 missing
V3642nominal2 unique values
0 missing
V59nominal2 unique values
0 missing
V315nominal2 unique values
0 missing
V571nominal2 unique values
0 missing
V827nominal2 unique values
0 missing
V1083nominal2 unique values
0 missing
V1339nominal2 unique values
0 missing
V1595nominal2 unique values
0 missing
V1851nominal2 unique values
0 missing
V2107nominal2 unique values
0 missing
V2363nominal2 unique values
0 missing
V2619nominal2 unique values
0 missing
V2875nominal2 unique values
0 missing
V3131nominal2 unique values
0 missing
V3387nominal2 unique values
0 missing
V3643nominal2 unique values
0 missing
V60nominal2 unique values
0 missing
V316nominal2 unique values
0 missing
V572nominal2 unique values
0 missing
V828nominal2 unique values
0 missing
V1084nominal2 unique values
0 missing
V1340nominal2 unique values
0 missing
V1596nominal2 unique values
0 missing
V1852nominal2 unique values
0 missing
V2108nominal2 unique values
0 missing
V2364nominal2 unique values
0 missing
V2620nominal2 unique values
0 missing
V2876nominal2 unique values
0 missing
V3132nominal2 unique values
0 missing
V3388nominal2 unique values
0 missing
V3644nominal2 unique values
0 missing
V61nominal2 unique values
0 missing
V317nominal2 unique values
0 missing
V573nominal2 unique values
0 missing
V829nominal2 unique values
0 missing
V1085nominal2 unique values
0 missing
V1341nominal2 unique values
0 missing
V1597nominal2 unique values
0 missing
V1853nominal2 unique values
0 missing
V2109nominal2 unique values
0 missing
V2365nominal2 unique values
0 missing
V2621nominal2 unique values
0 missing
V2877nominal2 unique values
0 missing
V3133nominal2 unique values
0 missing
V3389nominal2 unique values
0 missing
V3645nominal2 unique values
0 missing
V62nominal2 unique values
0 missing
V318nominal2 unique values
0 missing
V574nominal2 unique values
0 missing
V830nominal2 unique values
0 missing
V1086nominal2 unique values
0 missing
V1342nominal2 unique values
0 missing
V1598nominal2 unique values
0 missing
V1854nominal2 unique values
0 missing
V2110nominal2 unique values
0 missing
V2366nominal2 unique values
0 missing
V2622nominal2 unique values
0 missing
V2878nominal2 unique values
0 missing
V3134nominal2 unique values
0 missing
V3390nominal2 unique values
0 missing
V3646nominal2 unique values
0 missing
V63nominal2 unique values
0 missing
V319nominal2 unique values
0 missing
V575nominal2 unique values
0 missing
V831nominal2 unique values
0 missing
V1087nominal2 unique values
0 missing
V1343nominal2 unique values
0 missing
V1599nominal2 unique values
0 missing
V1855nominal2 unique values
0 missing
V2111nominal2 unique values
0 missing
V2367nominal2 unique values
0 missing
V2623nominal2 unique values
0 missing
V2879nominal2 unique values
0 missing
V3135nominal2 unique values
0 missing
V3391nominal2 unique values
0 missing
V3647nominal2 unique values
0 missing
V64nominal2 unique values
0 missing
V320nominal2 unique values
0 missing
V576nominal2 unique values
0 missing
V832nominal2 unique values
0 missing
V1088nominal2 unique values
0 missing
V1344nominal2 unique values
0 missing
V1600nominal2 unique values
0 missing
V1856nominal2 unique values
0 missing
V2112nominal2 unique values
0 missing
V2368nominal2 unique values
0 missing
V2624nominal2 unique values
0 missing
V2880nominal2 unique values
0 missing
V3136nominal2 unique values
0 missing
V3392nominal2 unique values
0 missing
V3648nominal2 unique values
0 missing
V65nominal2 unique values
0 missing
V321nominal2 unique values
0 missing
V577nominal2 unique values
0 missing
V833nominal2 unique values
0 missing
V1089nominal2 unique values
0 missing
V1345nominal2 unique values
0 missing
V1601nominal2 unique values
0 missing
V1857nominal2 unique values
0 missing
V2113nominal2 unique values
0 missing
V2369nominal2 unique values
0 missing
V2625nominal2 unique values
0 missing
V2881nominal2 unique values
0 missing
V3137nominal2 unique values
0 missing
V3393nominal2 unique values
0 missing
V3649nominal2 unique values
0 missing
V66nominal2 unique values
0 missing
V322nominal2 unique values
0 missing
V578nominal2 unique values
0 missing
V834nominal2 unique values
0 missing
V1090nominal2 unique values
0 missing
V1346nominal2 unique values
0 missing
V1602nominal2 unique values
0 missing
V1858nominal2 unique values
0 missing
V2114nominal2 unique values
0 missing
V2370nominal2 unique values
0 missing
V2626nominal2 unique values
0 missing
V2882nominal2 unique values
0 missing
V3138nominal2 unique values
0 missing
V3394nominal2 unique values
0 missing
V3650nominal2 unique values
0 missing
V67nominal2 unique values
0 missing
V323nominal2 unique values
0 missing
V579nominal2 unique values
0 missing
V835nominal2 unique values
0 missing
V1091nominal2 unique values
0 missing
V1347nominal2 unique values
0 missing
V1603nominal2 unique values
0 missing
V1859nominal2 unique values
0 missing
V2115nominal2 unique values
0 missing

107 properties

64
Number of instances (rows) of the dataset.
3722
Number of attributes (columns) of the dataset.
2
Number of distinct values of the target attribute (if it is nominal).
0
Number of missing values in the dataset.
0
Number of instances with at least one value missing.
0
Number of numeric attributes.
3722
Number of nominal attributes.
0.44
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 3
0.72
Kappa coefficient achieved by the landmarker weka.classifiers.trees.DecisionStump
Maximum of means among attributes of the numeric type.
0
Minimal mutual information between the nominal attributes and the target attribute.
Second quartile (Median) of skewness among attributes of the numeric type.
0.64
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
58.16
Number of attributes divided by the number of instances.
0.52
Maximum mutual information between the nominal attributes and the target attribute.
2
The minimal number of distinct values among attributes of the nominal type.
100
Percentage of binary attributes.
Second quartile (Median) of standard deviation of attributes of the numeric type.
0.34
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
41.47
Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.
2
The maximum number of distinct values among attributes of the nominal type.
Minimum skewness among attributes of the numeric type.
0
Percentage of instances having missing values.
0.27
Third quartile of entropy among attributes.
0.29
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
0.86
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .00001
Maximum skewness among attributes of the numeric type.
Minimum standard deviation of attributes of the numeric type.
0
Percentage of missing values.
Third quartile of kurtosis among attributes of the numeric type.
0.94
Average class difference between consecutive instances.
0.64
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
0.16
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .00001
Maximum standard deviation of attributes of the numeric type.
45.31
Percentage of instances belonging to the least frequent class.
0
Percentage of numeric attributes.
Third quartile of means among attributes of the numeric type.
0.89
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
0.34
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
0.69
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .00001
0.23
Average entropy of the attributes.
29
Number of instances belonging to the least frequent class.
100
Percentage of nominal attributes.
0.02
Third quartile of mutual information between the nominal attributes and the target attribute.
0.13
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
0.29
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
0.86
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .0001
Mean kurtosis among attributes of the numeric type.
0.86
Area Under the ROC Curve achieved by the landmarker weka.classifiers.bayes.NaiveBayes
0.12
First quartile of entropy among attributes.
Third quartile of skewness among attributes of the numeric type.
0.75
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
0.64
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
0.16
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .0001
Mean of means among attributes of the numeric type.
0.25
Error rate achieved by the landmarker weka.classifiers.bayes.NaiveBayes
First quartile of kurtosis among attributes of the numeric type.
Third quartile of standard deviation of attributes of the numeric type.
0.89
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
0.34
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
0.69
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .0001
0.02
Average mutual information between the nominal attributes and the target attribute.
0.47
Kappa coefficient achieved by the landmarker weka.classifiers.bayes.NaiveBayes
First quartile of means among attributes of the numeric type.
0.74
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 1
0.13
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
0.29
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
0.86
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .001
8.54
An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.
3722
Number of binary attributes.
0.01
First quartile of mutual information between the nominal attributes and the target attribute.
0.28
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 1
0.75
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
0.89
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
0
Standard deviation of the number of distinct values among attributes of the nominal type.
0.16
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .001
2
Average number of distinct values among the attributes of the nominal type.
First quartile of skewness among attributes of the numeric type.
0.44
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 1
0.13
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
0.59
Area Under the ROC Curve achieved by the landmarker weka.classifiers.lazy.IBk
0.69
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .001
Mean skewness among attributes of the numeric type.
First quartile of standard deviation of attributes of the numeric type.
0.74
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 2
0.75
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
0.38
Error rate achieved by the landmarker weka.classifiers.lazy.IBk
54.69
Percentage of instances belonging to the most frequent class.
Mean standard deviation of attributes of the numeric type.
0.12
Second quartile (Median) of entropy among attributes.
0.28
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 2
0.99
Entropy of the target attribute values.
0.19
Kappa coefficient achieved by the landmarker weka.classifiers.lazy.IBk
35
Number of instances belonging to the most frequent class.
0.12
Minimal entropy among attributes.
Second quartile (Median) of kurtosis among attributes of the numeric type.
0.44
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 2
0.74
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 3
0.87
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.DecisionStump
1
Maximum entropy among attributes.
Minimum kurtosis among attributes of the numeric type.
Second quartile (Median) of means among attributes of the numeric type.
0.28
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 3
0.14
Error rate achieved by the landmarker weka.classifiers.trees.DecisionStump
Maximum kurtosis among attributes of the numeric type.
Minimum of means among attributes of the numeric type.
0.02
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.

12 tasks

0 runs - estimation_procedure: 10-fold Crossvalidation - target_feature: Class
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
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