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pdgfr

pdgfr

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Author: Source: Unknown - Date unknown Please cite: This is one of 41 drug design datasets. The datasets with 1143 features are formed using Adriana.Code software (www.molecular-networks.com/software/adrianacode). The molecules and outputs are taken from the original studies (see below). The other datasets are taken exactly from the original studies. The last attribute in each file is the target. Original studies: carbolenes "B. D. Silverman and Daniel. E. Platt, J. Med. Chem. 1996, 39, 2129-2140" mtp2 "Bergstrom, C. A. S.; Norinder, U.; Luthman, K.; Artursson, P. Molecular Descriptors Influencing Melting Point and Their Role in Classification of Solid Drugs. J. Chem. Inf. Comput. Sci.; (Article); 2003; 43(4); 1177-1185" chang, cristalli, depreux, doherty, garrat2, garrat, heyl, krystek, lewis, penning, rosowsky, siddiqi, stevenson, strupcz, svensson, thompson, tsutumi, uejling, yokoyama1, yokoyama2 "David E Patterson, Richard D Cramer, Allan M Ferguson, Robert D Clark, Laurence W Weinberger. Neighbourhood Behaviour: A Useful Concept for Validation of ""Molecular Diversity"" Descriptors. J. Med. Chem. 1996 (39) 3049 - 3059." mtp "Karthikeyan, M.; Glen, R.C.; Bender, A. General melting point prediction based on a diverse compound dataset and artificial neural networks. J. Chem. Inf. Model.; 2005; 45(3); 581-590" benzo32 "Harrison,P.W. and Barlin,G.B. and Davies,L.P. and Ireland,S.J. and Matyus,P. and Wong,M.G., Syntheses, pharmacological evaluation and molecular modelling of substituted 6-alkoxyimidazo[1,2-b]pyridazines as new ligands for the benzodiazepine receptor, European Journal of Medicinal Chemistry, (31), 1996, 651-662" PHENETYL1 "H. Kubinyi (Ed.): ""QSAR: Hansch Analysis and Related Approaches"", VCH, Weinhein (Ger), 1993, pp.57-68" pah "Todeschini, R.; Gramatica, P.; Marengo, E.; Provenzani, R. Weighted Holistic Invariant Molecular Descriptors. Part 2. Theory Development and Applications on Modeling Physico-Chemical Properties of PolyAromatic Hydrocarbons (PAH). Chemom. Intell. Lab. Syst. 1995, 27, 221-229." pdgfr "R. Guha and P. Jurs. The Development of Linear, Ensemble and Non-linear Models for the Prediction and Interpretation of the Biological Activity of a Set of PDGFR Inhibitors. J. Chem. Inf. Comput. Sci. 2004, 44 (6), 2179-2189" Phen "Cammarata, A. Interrelationship of the Regression Models Used for Structure-Activity Analyses. J. Med. Chem. 1972, 15, 573-577" topo_2_1, yprop_4_1 "Jun Feng et al, Predictive Toxicology: Benchmarking Molecular Descriptors and Statistical Methods, J. Chem. Inf Comput. Sci., 2003 (43) 1463-1470" qsabr1, qsabr2 "Damborsky, J., Schultz, T.W., Comparison of the QSAR models for toxicity and biodegradability of anilines and phenols, Chemosphere 34: 429-446, 1997" qsartox "Blaha, L., Damborsky, J., Nemec, M., QSAR for acute toxicity of saturated and unsaturated halogenated aliphatic compounds, Chemosphere 36: 1345-1365, 1998" qsbr_rw1 "Damborsky, J. et al., Structure-biodegradability relationships for chlorinated dibenzo-p-dioxins and dibenzofurans, In: Wittich, R.-M., Biodegradation of dioxins and furans, R.G. Landes Company, Austin, 1998" qsbr_y2 "Damborsky, J. et al., A mechanistic approach to deriving QSBR- A case study: dehalogenation of haloaliphatic compounds, In: Peijnenburg, W.J.G.M., Damborsky, J., Biodegradability Prediction, Kluwer Academic Publishers" qsbralks "Damborsky, J. et al., Mechanism-based Quantitative Structure-Biodegradability Relationships for hydrolytic dehalogenation of chloro- and bromo-alkenes, Quantitative Structure-Activity Relationships 17: 450-458, 1998" qsfrdhla "Damborsky, J., Quantitative structure-function relationships of the single-point mutants of haloalkane dehalogenase: A multivariate approach, Qunatitative Structure-Activity Relationships 16: 126-135, 1997" qsfsr1 "Damborsky, J., Quantitative structure-function and structure-stability relationships of purposely modified proteins, Protein Engineering 11: 21-30, 1998" qsfsr2 "Damborsky, J., Quantitative structure-function and structure-stability relationships of purposely modified proteins, Protein Engineering 11: 21-30, 1998" qsprcmpx "Cajan, M. et al., Stability of Aromatic Amides with Bromide Anion: Quantitative Structure-Property Relationships, Journal of Chemical Information and Computer Sciences, in press, 2000" selwood "Selwood, D. L.; Livingstone, D. J.; Comley, J. C.; O'Dowd, A. B.; Hudson, A. T.; Jackson, P.; Jandu, K. S.; Rose, V. S.; Stables, J. N. Structure-Activity Relationships of Antifilarial Antimycin Analogues: A Multivariate Pattern Recognition Study J. Med. Chem., 1990, 33, 136-142"

321 features

oz322 (target)numeric72 unique values
0 missing
oz2numeric22 unique values
0 missing
oz258numeric78 unique values
0 missing
oz3numeric28 unique values
0 missing
oz259numeric78 unique values
0 missing
oz4numeric34 unique values
0 missing
oz260numeric79 unique values
0 missing
oz5numeric60 unique values
0 missing
oz261numeric79 unique values
0 missing
oz6numeric63 unique values
0 missing
oz262numeric79 unique values
0 missing
oz7numeric64 unique values
0 missing
oz263numeric79 unique values
0 missing
oz8numeric40 unique values
0 missing
oz264numeric3 unique values
0 missing
oz9numeric40 unique values
0 missing
oz265numeric6 unique values
0 missing
oz10numeric49 unique values
0 missing
oz266numeric54 unique values
0 missing
oz11numeric49 unique values
0 missing
oz267numeric57 unique values
0 missing
oz12numeric49 unique values
0 missing
oz268numeric10 unique values
0 missing
oz13numeric64 unique values
0 missing
oz269numeric22 unique values
0 missing
oz14numeric67 unique values
0 missing
oz270numeric34 unique values
0 missing
oz15numeric75 unique values
0 missing
oz271numeric63 unique values
0 missing
oz16numeric75 unique values
0 missing
oz272numeric67 unique values
0 missing
oz17numeric75 unique values
0 missing
oz273numeric79 unique values
0 missing
oz18numeric75 unique values
0 missing
oz274numeric79 unique values
0 missing
oz19numeric76 unique values
0 missing
oz275numeric79 unique values
0 missing
oz20numeric42 unique values
0 missing
oz276numeric79 unique values
0 missing
oz21numeric7 unique values
0 missing
oz277numeric79 unique values
0 missing
oz22numeric12 unique values
0 missing
oz278numeric79 unique values
0 missing
oz23numeric2 unique values
0 missing
oz279numeric79 unique values
0 missing
oz24numeric54 unique values
0 missing
oz280numeric79 unique values
0 missing
oz25numeric68 unique values
0 missing
oz281numeric79 unique values
0 missing
oz26numeric74 unique values
0 missing
oz282numeric79 unique values
0 missing
oz27numeric1 unique values
0 missing
oz283numeric79 unique values
0 missing
oz28numeric1 unique values
0 missing
oz284numeric79 unique values
0 missing
oz29numeric9 unique values
0 missing
oz285numeric79 unique values
0 missing
oz30numeric25 unique values
0 missing
oz286numeric79 unique values
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oz31numeric37 unique values
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oz287numeric79 unique values
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oz32numeric37 unique values
0 missing
oz288numeric79 unique values
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oz33numeric43 unique values
0 missing
oz289numeric79 unique values
0 missing
oz34numeric46 unique values
0 missing
oz290numeric79 unique values
0 missing
oz35numeric45 unique values
0 missing
oz291numeric79 unique values
0 missing
oz36numeric47 unique values
0 missing
oz292numeric79 unique values
0 missing
oz37numeric47 unique values
0 missing
oz293numeric79 unique values
0 missing
oz38numeric46 unique values
0 missing
oz294numeric79 unique values
0 missing
oz39numeric21 unique values
0 missing
oz295numeric79 unique values
0 missing
oz40numeric5 unique values
0 missing
oz296numeric79 unique values
0 missing
oz41numeric6 unique values
0 missing
oz297numeric79 unique values
0 missing
oz42numeric2 unique values
0 missing
oz298numeric63 unique values
0 missing
oz43numeric33 unique values
0 missing
oz299numeric65 unique values
0 missing
oz44numeric34 unique values
0 missing
oz300numeric66 unique values
0 missing
oz45numeric47 unique values
0 missing
oz301numeric45 unique values
0 missing
oz46numeric1 unique values
0 missing
oz302numeric66 unique values
0 missing
oz47numeric1 unique values
0 missing
oz303numeric66 unique values
0 missing
oz48numeric4 unique values
0 missing
oz304numeric79 unique values
0 missing
oz49numeric12 unique values
0 missing
oz305numeric79 unique values
0 missing
oz50numeric14 unique values
0 missing
oz306numeric79 unique values
0 missing
oz51numeric17 unique values
0 missing
oz307numeric79 unique values
0 missing
oz52numeric1 unique values
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oz308numeric79 unique values
0 missing
oz53numeric1 unique values
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oz309numeric78 unique values
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oz54numeric1 unique values
0 missing
oz310numeric79 unique values
0 missing
oz55numeric20 unique values
0 missing
oz311numeric79 unique values
0 missing
oz56numeric9 unique values
0 missing
oz312numeric79 unique values
0 missing
oz57numeric1 unique values
0 missing
oz313numeric79 unique values
0 missing
oz58numeric1 unique values
0 missing
oz314numeric79 unique values
0 missing
oz59numeric25 unique values
0 missing
oz315numeric79 unique values
0 missing
oz60numeric3 unique values
0 missing
oz316numeric79 unique values
0 missing
oz61numeric17 unique values
0 missing
oz317numeric54 unique values
0 missing
oz62numeric2 unique values
0 missing
oz318numeric76 unique values
0 missing
oz63numeric29 unique values
0 missing
oz319numeric9 unique values
0 missing
oz64numeric5 unique values
0 missing
oz320numeric1 unique values
0 missing
oz65numeric23 unique values
0 missing
oz321numeric74 unique values
0 missing
oz66numeric4 unique values
0 missing
oz67numeric27 unique values
0 missing
oz68numeric2 unique values
0 missing
oz69numeric32 unique values
0 missing
oz70numeric8 unique values
0 missing
oz71numeric51 unique values
0 missing
oz72numeric53 unique values
0 missing
oz73numeric68 unique values
0 missing
oz74numeric72 unique values
0 missing
oz75numeric74 unique values
0 missing
oz76numeric74 unique values
0 missing
oz77numeric43 unique values
0 missing
oz78numeric53 unique values
0 missing
oz79numeric56 unique values
0 missing
oz80numeric12 unique values
0 missing
oz81numeric13 unique values
0 missing
oz82numeric4 unique values
0 missing
oz83numeric5 unique values
0 missing
oz84numeric2 unique values
0 missing
oz85numeric3 unique values
0 missing
oz86numeric2 unique values
0 missing
oz87numeric13 unique values
0 missing
oz88numeric14 unique values
0 missing
oz89numeric3 unique values
0 missing
oz90numeric2 unique values
0 missing
oz91numeric4 unique values
0 missing
oz92numeric52 unique values
0 missing
oz93numeric3 unique values
0 missing
oz94numeric5 unique values
0 missing
oz95numeric7 unique values
0 missing
oz96numeric57 unique values
0 missing
oz97numeric57 unique values
0 missing
oz98numeric75 unique values
0 missing
oz99numeric65 unique values
0 missing
oz100numeric67 unique values
0 missing
oz101numeric1 unique values
0 missing
oz102numeric1 unique values
0 missing
oz103numeric1 unique values
0 missing
oz104numeric8 unique values
0 missing
oz105numeric3 unique values
0 missing
oz106numeric5 unique values
0 missing
oz107numeric6 unique values
0 missing
oz108numeric2 unique values
0 missing
oz109numeric2 unique values
0 missing
oz110numeric23 unique values
0 missing
oz111numeric47 unique values
0 missing
oz112numeric51 unique values
0 missing
oz113numeric40 unique values
0 missing
oz114numeric21 unique values
0 missing
oz115numeric62 unique values
0 missing
oz116numeric50 unique values
0 missing
oz117numeric33 unique values
0 missing
oz118numeric40 unique values
0 missing
oz119numeric18 unique values
0 missing
oz120numeric1 unique values
0 missing
oz121numeric3 unique values
0 missing
oz122numeric20 unique values
0 missing
oz123numeric1 unique values
0 missing
oz124numeric3 unique values
0 missing
oz125numeric3 unique values
0 missing
oz126numeric5 unique values
0 missing
oz127numeric27 unique values
0 missing
oz128numeric23 unique values
0 missing
oz129numeric61 unique values
0 missing
oz130numeric64 unique values
0 missing
oz131numeric33 unique values
0 missing
oz132numeric76 unique values
0 missing
oz133numeric76 unique values
0 missing
oz134numeric52 unique values
0 missing
oz135numeric76 unique values
0 missing
oz136numeric52 unique values
0 missing
oz137numeric76 unique values
0 missing
oz138numeric76 unique values
0 missing
oz139numeric64 unique values
0 missing
oz140numeric47 unique values
0 missing
oz141numeric49 unique values
0 missing
oz142numeric53 unique values
0 missing
oz143numeric19 unique values
0 missing
oz144numeric1 unique values
0 missing
oz145numeric44 unique values
0 missing
oz146numeric6 unique values
0 missing
oz147numeric79 unique values
0 missing
oz148numeric71 unique values
0 missing
oz149numeric79 unique values
0 missing
oz150numeric79 unique values
0 missing
oz151numeric79 unique values
0 missing
oz152numeric79 unique values
0 missing
oz153numeric79 unique values
0 missing
oz154numeric79 unique values
0 missing
oz155numeric79 unique values
0 missing
oz156numeric79 unique values
0 missing
oz157numeric79 unique values
0 missing
oz158numeric79 unique values
0 missing
oz159numeric79 unique values
0 missing
oz160numeric79 unique values
0 missing
oz161numeric79 unique values
0 missing
oz162numeric79 unique values
0 missing
oz163numeric79 unique values
0 missing
oz164numeric61 unique values
0 missing
oz165numeric52 unique values
0 missing
oz166numeric79 unique values
0 missing
oz167numeric79 unique values
0 missing
oz168numeric79 unique values
0 missing
oz169numeric79 unique values
0 missing
oz170numeric79 unique values
0 missing
oz171numeric79 unique values
0 missing
oz172numeric45 unique values
0 missing
oz173numeric10 unique values
0 missing
oz174numeric79 unique values
0 missing
oz175numeric79 unique values
0 missing
oz176numeric79 unique values
0 missing
oz177numeric79 unique values
0 missing
oz178numeric79 unique values
0 missing
oz179numeric79 unique values
0 missing
oz180numeric79 unique values
0 missing
oz181numeric79 unique values
0 missing
oz182numeric79 unique values
0 missing
oz183numeric79 unique values
0 missing
oz184numeric10 unique values
0 missing
oz185numeric10 unique values
0 missing
oz186numeric10 unique values
0 missing
oz187numeric10 unique values
0 missing
oz188numeric10 unique values
0 missing
oz189numeric6 unique values
0 missing
oz190numeric6 unique values
0 missing
oz191numeric6 unique values
0 missing
oz192numeric6 unique values
0 missing
oz193numeric6 unique values
0 missing
oz194numeric79 unique values
0 missing
oz195numeric79 unique values
0 missing
oz196numeric79 unique values
0 missing
oz197numeric79 unique values
0 missing
oz198numeric79 unique values
0 missing
oz199numeric79 unique values
0 missing
oz200numeric79 unique values
0 missing
oz201numeric79 unique values
0 missing
oz202numeric79 unique values
0 missing
oz203numeric79 unique values
0 missing
oz204numeric79 unique values
0 missing
oz205numeric79 unique values
0 missing
oz206numeric79 unique values
0 missing
oz207numeric79 unique values
0 missing
oz208numeric79 unique values
0 missing
oz209numeric79 unique values
0 missing
oz210numeric79 unique values
0 missing
oz211numeric79 unique values
0 missing
oz212numeric79 unique values
0 missing
oz213numeric79 unique values
0 missing
oz214numeric79 unique values
0 missing
oz215numeric79 unique values
0 missing
oz216numeric79 unique values
0 missing
oz217numeric79 unique values
0 missing
oz218numeric77 unique values
0 missing
oz219numeric79 unique values
0 missing
oz220numeric79 unique values
0 missing
oz221numeric79 unique values
0 missing
oz222numeric79 unique values
0 missing
oz223numeric79 unique values
0 missing
oz224numeric79 unique values
0 missing
oz225numeric79 unique values
0 missing
oz226numeric46 unique values
0 missing
oz227numeric46 unique values
0 missing
oz228numeric79 unique values
0 missing
oz229numeric79 unique values
0 missing
oz230numeric79 unique values
0 missing
oz231numeric79 unique values
0 missing
oz232numeric79 unique values
0 missing
oz233numeric79 unique values
0 missing
oz234numeric79 unique values
0 missing
oz235numeric78 unique values
0 missing
oz236numeric78 unique values
0 missing
oz237numeric79 unique values
0 missing
oz238numeric79 unique values
0 missing
oz239numeric79 unique values
0 missing
oz240numeric79 unique values
0 missing
oz241numeric3 unique values
0 missing
oz242numeric6 unique values
0 missing
oz243numeric54 unique values
0 missing
oz244numeric58 unique values
0 missing
oz245numeric11 unique values
0 missing
oz246numeric79 unique values
0 missing
oz247numeric79 unique values
0 missing
oz248numeric79 unique values
0 missing
oz249numeric44 unique values
0 missing
oz250numeric44 unique values
0 missing
oz251numeric79 unique values
0 missing
oz252numeric79 unique values
0 missing
oz253numeric79 unique values
0 missing
oz254numeric79 unique values
0 missing
oz255numeric79 unique values
0 missing
oz256numeric79 unique values
0 missing
oz257numeric79 unique values
0 missing

107 properties

79
Number of instances (rows) of the dataset.
321
Number of attributes (columns) of the dataset.
0
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.
321
Number of numeric attributes.
0
Number of nominal attributes.
Second quartile (Median) of entropy among attributes.
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 2
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
Error rate achieved by the landmarker weka.classifiers.lazy.IBk
Percentage of instances belonging to the most frequent class.
0.2
Mean standard deviation of attributes of the numeric type.
1.63
Second quartile (Median) of kurtosis among attributes of the numeric type.
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 2
Entropy of the target attribute values.
Kappa coefficient achieved by the landmarker weka.classifiers.lazy.IBk
Number of instances belonging to the most frequent class.
Minimal entropy among attributes.
0.39
Second quartile (Median) of means among attributes of the numeric type.
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 3
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.DecisionStump
Maximum entropy among attributes.
-1.79
Minimum kurtosis among attributes of the numeric type.
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 3
Error rate achieved by the landmarker weka.classifiers.trees.DecisionStump
79
Maximum kurtosis among attributes of the numeric type.
0
Minimum of means among attributes of the numeric type.
0.48
Second quartile (Median) of skewness among attributes of the numeric type.
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 3
Kappa coefficient achieved by the landmarker weka.classifiers.trees.DecisionStump
0.94
Maximum of means among attributes of the numeric type.
Minimal mutual information between the nominal attributes and the target attribute.
0
Percentage of binary attributes.
0.2
Second quartile (Median) of standard deviation of attributes of the numeric type.
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
4.06
Number of attributes divided by the number of instances.
Maximum mutual information between the nominal attributes and the target attribute.
The minimal number of distinct values among attributes of the nominal type.
0
Percentage of instances having missing values.
Third quartile of entropy among attributes.
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.
The maximum number of distinct values among attributes of the nominal type.
-6.01
Minimum skewness among attributes of the numeric type.
0
Percentage of missing values.
6.89
Third quartile of kurtosis among attributes of the numeric type.
0.8
Average class difference between consecutive instances.
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .00001
8.89
Maximum skewness among attributes of the numeric type.
0
Minimum standard deviation of attributes of the numeric type.
100
Percentage of numeric attributes.
0.55
Third quartile of means among attributes of the numeric type.
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
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .00001
0.49
Maximum standard deviation of attributes of the numeric type.
Percentage of instances belonging to the least frequent class.
0
Percentage of nominal attributes.
Third quartile of mutual information between the nominal attributes and the target attribute.
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
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .00001
Average entropy of the attributes.
Number of instances belonging to the least frequent class.
First quartile of entropy among attributes.
2.02
Third quartile of skewness among attributes of the numeric type.
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
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .0001
6.36
Mean kurtosis among attributes of the numeric type.
Area Under the ROC Curve achieved by the landmarker weka.classifiers.bayes.NaiveBayes
-0.23
First quartile of kurtosis among attributes of the numeric type.
0.24
Third quartile of standard deviation of attributes of the numeric type.
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
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .0001
0.38
Mean of means among attributes of the numeric type.
Error rate achieved by the landmarker weka.classifiers.bayes.NaiveBayes
0.16
First quartile of means among attributes of the numeric type.
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 1
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
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .0001
Average mutual information between the nominal attributes and the target attribute.
Kappa coefficient achieved by the landmarker weka.classifiers.bayes.NaiveBayes
First quartile of mutual information between the nominal attributes and the target attribute.
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 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
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .001
An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.
0
Number of binary attributes.
-0.13
First quartile of skewness among attributes of the numeric type.
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 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
Standard deviation of the number of distinct values among attributes of the nominal type.
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .001
Average number of distinct values among the attributes of the nominal type.
0.17
First quartile of standard deviation of attributes of the numeric type.
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 2
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
Area Under the ROC Curve achieved by the landmarker weka.classifiers.lazy.IBk
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .001
0.84
Mean skewness among attributes of the numeric type.

5 tasks

0 runs - estimation_procedure: 10 times 10-fold Crossvalidation - evaluation_measure: mean_absolute_error - target_feature: oz322
0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: mean_absolute_error - target_feature: oz322
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
Define a new task