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INSERT INTO `quality` (`name`, `type`, `formula`, `description`, `datatype`, `min`, `max`, `unit`, `priority`, `showonline`, `date`) VALUES
('AutoCorrelation', 'DataQuality', NULL, 'Average class difference between consecutive instances.', 'double', NULL, NULL, NULL, 9999, 'true', '2017-03-03 14:38:02'),
('AverageClassCount', 'FeatureQuality', NULL, '(Any Attribute Type) Average count of occurrences of the distinct attribute values.', 'integer', 0, NULL, NULL, 9999, 'false', '2017-03-03 14:44:04'),
('AveragePercentageOfClass', 'FeatureQuality', NULL, '(Any Attribute Type) Average occurrence rate of the distinct attribute values.', 'double', 0, 1, NULL, 9999, 'false', '2017-03-03 14:44:04'),
('BiasVarianceProfile', 'AlgorithmQuality', 'Calculated using 10 iterations of Weka\'s \r\nweka.BVDecomposeSegCVSub(1.7) bias-variance decomposition procedure', 'The weight of the bias component in the learning algorithm\'s error. I.e., the percentage of errors that can be attributed to bias error (underfitting) as opposed to variance error (overfitting).', 'undefined', 0, 1, NULL, 9999, 'true', '2014-12-31 23:00:00'),
('BiasWeightKohaviWolpert', 'AlgorithmQuality', NULL, 'empirically calculated average ratio of bias error in the total error, using Kohavi-Wolpert\'s definition of bias and variance', 'undefined', NULL, NULL, NULL, 9999, 'false', '2014-12-31 23:00:00'),
('BiasWeightWebb', 'AlgorithmQuality', NULL, 'empirically determined average ratio of bias error in the total error, using Webb\'s definition of bias and variance', 'undefined', NULL, NULL, NULL, 9999, 'false', '2014-12-31 23:00:00'),
('CfsSubsetEval_DecisionStumpAUC', 'DataQuality', NULL, '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', 'double', 0, 1, NULL, 9999, 'false', '2017-03-03 14:38:02'),
('CfsSubsetEval_DecisionStumpErrRate', 'DataQuality', NULL, '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', 'double', 0, 1, NULL, 9999, 'false', '2017-03-03 14:38:02'),
('CfsSubsetEval_DecisionStumpKappa', 'DataQuality', NULL, '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', 'double', NULL, 1, NULL, 9999, 'false', '2017-03-03 14:38:02'),
('CfsSubsetEval_NaiveBayesAUC', 'DataQuality', NULL, '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', 'double', 0, 1, NULL, 9999, 'false', '2017-03-03 14:38:02'),
('CfsSubsetEval_NaiveBayesErrRate', 'DataQuality', NULL, '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', 'double', 0, 1, NULL, 9999, 'false', '2017-03-03 14:38:02'),
('CfsSubsetEval_NaiveBayesKappa', 'DataQuality', NULL, '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', 'double', NULL, 1, NULL, 9999, 'false', '2017-03-03 14:38:02'),
('CfsSubsetEval_kNN1NAUC', 'DataQuality', NULL, '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', 'double', 0, 1, NULL, 9999, 'false', '2017-03-03 14:38:02'),
('CfsSubsetEval_kNN1NErrRate', 'DataQuality', NULL, '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', 'double', 0, 1, NULL, 9999, 'false', '2017-03-03 14:38:02'),
('CfsSubsetEval_kNN1NKappa', 'DataQuality', NULL, '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', 'double', NULL, 1, NULL, 9999, 'false', '2017-03-03 14:38:02'),
('ChiSquareUniformDistribution', 'FeatureQuality', NULL, '(Nominal Attribute Type) Statistic value of the chi-squared test for H0 (the attribute distribution is a uniform discrete distribution) .', 'double', NULL, NULL, NULL, 9999, 'false', '2017-03-03 14:44:04'),
('ClassEntropy', 'DataQuality', NULL, 'Entropy of the target attribute values.', 'double', 0, NULL, NULL, 9999, 'false', '2017-03-03 14:38:02'),
('CovarianceWithTarget', 'FeatureQuality', NULL, '(Any Attribute Type) Covariance between the attribute values and the target attribute.', 'double', NULL, NULL, NULL, 9999, 'false', '2017-03-03 14:44:04'),
('DecisionStumpAUC', 'DataQuality', NULL, 'Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.DecisionStump', 'double', 0, 1, NULL, 9999, 'false', '2017-03-03 14:38:02'),
('DecisionStumpErrRate', 'DataQuality', NULL, 'Error rate achieved by the landmarker weka.classifiers.trees.DecisionStump', 'double', 0, 1, NULL, 9999, 'false', '2017-03-03 14:38:02'),
('DecisionStumpKappa', 'DataQuality', NULL, 'Kappa coefficient achieved by the landmarker weka.classifiers.trees.DecisionStump', 'double', NULL, 1, NULL, 9999, 'false', '2017-03-03 14:38:02'),
('DefaultAccuracy', 'DataQuality', NULL, 'The predictive accuracy obtained by always predicting the majority class.', 'double', 0, 1, NULL, 9999, 'true', '2017-03-03 14:38:02'),
('Dimensionality', 'DataQuality', NULL, 'Number of attributes divided by the number of instances.', 'double', 0, NULL, NULL, 9999, 'false', '2017-03-03 14:38:02'),
('Distinct', 'FeatureQuality', NULL, '(Any Attribute Type) Number of distinct attribute values.', 'integer', 0, NULL, NULL, 9999, 'false', '2017-03-03 14:44:04'),
('Entropy', 'FeatureQuality', NULL, '(Any Attribute Type) Entropy of the attribute values.', 'double', 0, NULL, NULL, 9999, 'false', '2017-03-03 14:44:04'),
('EquivalentNumberOfAtts', 'DataQuality', NULL, 'Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.', 'double', 0, NULL, NULL, 9999, 'false', '2017-03-03 14:38:02'),
('HandlesMissingValues', 'AlgorithmQuality', NULL, NULL, 'undefined', NULL, NULL, NULL, 9999, 'true', '2014-12-31 23:00:00'),
('HandlesNominalFeatures', 'AlgorithmQuality', NULL, NULL, 'undefined', NULL, NULL, NULL, 9999, 'true', '2014-12-31 23:00:00'),
('HandlesNominalTarget', 'AlgorithmQuality', NULL, NULL, 'undefined', NULL, NULL, NULL, 9999, 'true', '2014-12-31 23:00:00'),
('HandlesNonBinaryClasses', 'AlgorithmQuality', NULL, NULL, 'undefined', NULL, NULL, NULL, 9999, 'true', '2014-12-31 23:00:00'),
('HandlesNumericFeatures', 'AlgorithmQuality', NULL, NULL, 'undefined', NULL, NULL, NULL, 9999, 'true', '2014-12-31 23:00:00'),
('HandlesNumericTarget', 'AlgorithmQuality', NULL, NULL, 'undefined', NULL, NULL, NULL, 9999, 'false', '2014-12-31 23:00:00'),
('HasNegativeValues', 'FeatureQuality', NULL, '(Numerical Attribute Only) 1 if the attribute has at least one strictly negative value, 0 otherwise.', 'integer', 0, 1, NULL, 9999, 'false', '2017-03-03 14:44:04'),
('HasPositiveValues', 'FeatureQuality', NULL, '(Numerical Attribute Only) 1 if the attribute has at least one positive value, 0 otherwise.', 'integer', 0, 1, NULL, 9999, 'false', '2017-03-03 14:44:04'),
('HigherConfidence', 'FeatureQuality', NULL, '(Numerical Attribute Only) Higher confidence interval (for the 95% confidence level) of the attribute values.', 'double', NULL, NULL, NULL, 9999, 'false', '2017-03-03 14:44:04'),
('HigherOuterFence', 'FeatureQuality', NULL, '(Numerical Attribute Only) Higher outer fence of the attribute values. Values beyond are strong outliers.', 'double', NULL, NULL, NULL, 9999, 'false', '2017-03-03 14:44:04'),
('HigherQuartile', 'FeatureQuality', NULL, '(Numerical Attribute Only) Higher quartile (75th percentile) of the attribute values.', 'double', NULL, NULL, NULL, 9999, 'false', '2017-03-03 14:44:04'),
('IntegersOnly', 'FeatureQuality', NULL, '(Numerical Attribute Only) 1 if attribute values consist exclusively of integers, 0 otherwise.', 'integer', 0, 1, NULL, 9999, 'false', '2017-03-03 14:44:04'),
('IsUniform', 'FeatureQuality', NULL, '(Numerical Attribute Only) 0 if the Kolmogorov-Smirnov test rejects H0 (the attribute distribution is a uniform distribution) at the 0.05 significance level, 1 otherwise.', 'integer', 0, 1, NULL, 9999, 'false', '2017-03-03 14:44:04'),
('J48.00001.AUC', 'DataQuality', NULL, 'Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .00001', 'double', 0, 1, NULL, 9999, 'false', '2017-03-03 14:38:02'),
('J48.00001.ErrRate', 'DataQuality', NULL, 'Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .00001', 'double', 0, 1, NULL, 9999, 'false', '2017-03-03 14:38:02'),
('J48.00001.Kappa', 'DataQuality', NULL, 'Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .00001', 'double', NULL, 1, NULL, 9999, 'false', '2017-03-03 14:38:02'),
('J48.0001.AUC', 'DataQuality', NULL, 'Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .0001', 'double', 0, 1, NULL, 9999, 'false', '2017-03-03 14:38:02'),
('J48.0001.ErrRate', 'DataQuality', NULL, 'Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .0001', 'double', 0, 1, NULL, 9999, 'false', '2017-03-03 14:38:02'),
('J48.0001.Kappa', 'DataQuality', NULL, 'Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .0001', 'double', NULL, 1, NULL, 9999, 'false', '2017-03-03 14:38:02'),
('J48.001.AUC', 'DataQuality', NULL, 'Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .001', 'double', 0, 1, NULL, 9999, 'false', '2017-03-03 14:38:02'),
('J48.001.ErrRate', 'DataQuality', NULL, 'Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .001', 'double', 0, 1, NULL, 9999, 'false', '2017-03-03 14:38:02'),
('J48.001.Kappa', 'DataQuality', NULL, 'Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .001', 'double', NULL, 1, NULL, 9999, 'false', '2017-03-03 14:38:02'),
('Kurtosis', 'FeatureQuality', NULL, '(Numerical Attribute Only) Kurtosis of the attribute values.', 'double', NULL, NULL, NULL, 9999, 'false', '2017-03-03 14:44:04'),
('LeastFequentClassCount', 'FeatureQuality', NULL, '(Any Attribute Type) Count of the least occuring attribute value.', 'integer', 0, NULL, NULL, 9999, 'false', '2017-03-03 14:44:04'),
('LowerConfidence', 'FeatureQuality', NULL, '(Numerical Attribute Only) Lower confidence interval (for the 95% confidence level) of the attribute values.', 'double', NULL, NULL, NULL, 9999, 'false', '2017-03-03 14:44:04'),
('LowerOuterFence', 'FeatureQuality', NULL, '(Numerical Attribute Only) Lower outer fence of the attribute values. Values beyond are strong outliers.', 'double', NULL, NULL, NULL, 9999, 'false', '2017-03-03 14:44:04'),
('LowerQuartile', 'FeatureQuality', NULL, '(Numerical Attribute Only) Lower quartile (25th percentile) of the attribute values.', 'double', NULL, NULL, NULL, 9999, 'false', '2017-03-03 14:44:04'),
('MajorityClassPercentage', 'DataQuality', NULL, 'Percentage of instances belonging to the most frequent class.', 'double', 0, 1, NULL, 9999, 'false', '2017-03-03 14:38:02'),
('MajorityClassSize', 'DataQuality', NULL, 'Number of instances belonging to the most frequent class.', 'double', 0, NULL, NULL, 9999, 'false', '2017-03-03 14:38:02'),
('Max', 'FeatureQuality', NULL, '(Numerical Attribute Only) Maximum of the attribute values.', 'double', NULL, NULL, NULL, 9999, 'false', '2017-03-03 14:44:04'),
('MaxAttributeEntropy', 'DataQuality', NULL, 'Maximum entropy among attributes.', 'double', 0, NULL, NULL, 9999, 'false', '2017-03-03 14:38:02'),
('MaxKurtosisOfNumericAtts', 'DataQuality', NULL, 'Maximum kurtosis among attributes of the numeric type.', 'double', NULL, NULL, NULL, 9999, 'false', '2017-03-03 14:38:02'),
('MaxMeansOfNumericAtts', 'DataQuality', NULL, 'Maximum of means among attributes of the numeric type.', 'double', NULL, NULL, NULL, 9999, 'false', '2017-03-03 14:38:02'),
('MaxMutualInformation', 'DataQuality', NULL, 'Maximum mutual information between the nominal attributes and the target attribute.', 'double', 0, NULL, NULL, 9999, 'false', '2017-03-03 14:38:02'),
('MaxNominalAttDistinctValues', 'DataQuality', NULL, 'The maximum number of distinct values among attributes of the nominal type.', 'integer', 0, NULL, NULL, 9999, 'false', '2017-03-03 14:38:02'),
('MaxSkewnessOfNumericAtts', 'DataQuality', NULL, 'Maximum skewness among attributes of the numeric type.', 'double', NULL, NULL, NULL, 9999, 'false', '2017-03-03 14:38:02'),
('MaxStdDevOfNumericAtts', 'DataQuality', NULL, 'Maximum standard deviation of attributes of the numeric type.', 'double', NULL, NULL, NULL, 9999, 'false', '2017-03-03 14:38:02'),
('Mean', 'FeatureQuality', NULL, '(Numerical Attribute Only) Mean of the attribute values.', 'double', NULL, NULL, NULL, 9999, 'false', '2017-03-03 14:44:04'),
('MeanAttributeEntropy', 'DataQuality', NULL, 'Average entropy of the attributes.', 'double', 0, NULL, NULL, 9999, 'false', '2017-03-03 14:38:02'),
('MeanKurtosisOfNumericAtts', 'DataQuality', NULL, 'Mean kurtosis among attributes of the numeric type.', 'double', NULL, NULL, NULL, 9999, 'false', '2017-03-03 14:38:02'),
('MeanMeansOfNumericAtts', 'DataQuality', NULL, 'Mean of means among attributes of the numeric type.', 'double', NULL, NULL, NULL, 9999, 'false', '2017-03-03 14:38:02'),
('MeanMutualInformation', 'DataQuality', NULL, 'Average mutual information between the nominal attributes and the target attribute.', 'double', 0, NULL, NULL, 9999, 'false', '2017-03-03 14:38:02'),
('MeanNoiseToSignalRatio', 'DataQuality', NULL, 'An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.', 'double', 0, NULL, NULL, 9999, 'false', '2017-03-03 14:38:02'),
('MeanNominalAttDistinctValues', 'DataQuality', NULL, 'Average number of distinct values among the attributes of the nominal type.', 'double', 0, NULL, NULL, 9999, 'false', '2017-03-03 14:38:02'),
('MeanSkewnessOfNumericAtts', 'DataQuality', NULL, 'Mean skewness among attributes of the numeric type.', 'double', NULL, NULL, NULL, 9999, 'false', '2017-03-03 14:38:02'),
('MeanStdDevOfNumericAtts', 'DataQuality', NULL, 'Mean standard deviation of attributes of the numeric type.', 'double', NULL, NULL, NULL, 9999, 'false', '2017-03-03 14:38:02'),
('Median', 'FeatureQuality', NULL, '(Numerical Attribute Only) Median of the attribute values.', 'double', NULL, NULL, NULL, 9999, 'false', '2017-03-03 14:44:04'),
('MedianClassCount', 'FeatureQuality', NULL, '(Any Attribute Type) Median count of occurrences of the distinct attribute values.', 'integer', 0, NULL, NULL, 9999, 'false', '2017-03-03 14:44:04'),
('MedianClassPercentage', 'FeatureQuality', NULL, '(Any Attribute Type) Median occurrence rate of the distinct attribute values.', 'double', 0, 1, NULL, 9999, 'false', '2017-03-03 14:44:04'),
('Min', 'FeatureQuality', NULL, '(Numerical Attribute Only) Minimum of the attribute values.', 'double', NULL, NULL, NULL, 9999, 'false', '2017-03-03 14:44:04'),
('MinAttributeEntropy', 'DataQuality', NULL, 'Minimal entropy among attributes.', 'double', 0, NULL, NULL, 9999, 'false', '2017-03-03 14:38:02'),
('MinKurtosisOfNumericAtts', 'DataQuality', NULL, 'Minimum kurtosis among attributes of the numeric type.', 'double', NULL, NULL, NULL, 9999, 'false', '2017-03-03 14:38:02'),
('MinMeansOfNumericAtts', 'DataQuality', NULL, 'Minimum of means among attributes of the numeric type.', 'double', NULL, NULL, NULL, 9999, 'false', '2017-03-03 14:38:02'),
('MinMutualInformation', 'DataQuality', NULL, 'Minimal mutual information between the nominal attributes and the target attribute.', 'double', 0, NULL, NULL, 9999, 'false', '2017-03-03 14:38:02'),
('MinNominalAttDistinctValues', 'DataQuality', NULL, 'The minimal number of distinct values among attributes of the nominal type.', 'integer', 0, NULL, NULL, 9999, 'false', '2017-03-03 14:38:02'),
('MinSkewnessOfNumericAtts', 'DataQuality', NULL, 'Minimum skewness among attributes of the numeric type.', 'double', NULL, NULL, NULL, 9999, 'false', '2017-03-03 14:38:02'),
('MinStdDevOfNumericAtts', 'DataQuality', NULL, 'Minimum standard deviation of attributes of the numeric type.', 'double', NULL, NULL, NULL, 9999, 'false', '2017-03-03 14:38:02'),
('MinorityClassPercentage', 'DataQuality', NULL, 'Percentage of instances belonging to the least frequent class.', 'double', 0, 1, NULL, 9999, 'false', '2017-03-03 14:38:02'),
('MinorityClassSize', 'DataQuality', NULL, 'Number of instances belonging to the least frequent class.', 'double', 0, NULL, NULL, 9999, 'false', '2017-03-03 14:38:02'),
('MissingValues', 'FeatureQuality', NULL, '(Any Attribute Type) 1 if the attribute has at least one missing value, 0 otherwise.', 'integer', 0, 1, NULL, 9999, 'false', '2017-03-03 14:44:04'),
('MissingValuesCount', 'FeatureQuality', NULL, '(Any Attribute Type) Number of missing values.', 'integer', 0, NULL, NULL, 9999, 'false', '2017-03-03 14:44:04'),
('Mode', 'FeatureQuality', NULL, '(Numerical Attribute Only) Mode of the attribute values.', 'double', NULL, NULL, NULL, 9999, 'false', '2017-03-03 14:44:04'),
('ModeClassCount', 'FeatureQuality', NULL, '(Any Attribute Type) Most frequent count of occurrences of the distinct attribute values.', 'integer', 0, NULL, NULL, 9999, 'false', '2017-03-03 14:44:04'),
('ModeClassPercentage', 'FeatureQuality', NULL, '(Any Attribute Type) Most frequent occurrence rate of the distinct attribute values.', 'double', 0, 1, NULL, 9999, 'false', '2017-03-03 14:44:04'),
('MostFequentClassCount', 'FeatureQuality', NULL, '(Any Attribute Type) Count of the most occuring attribute value.', 'integer', 0, NULL, NULL, 9999, 'false', '2017-03-03 14:44:04'),
('NaiveBayesAUC', 'DataQuality', NULL, 'Area Under the ROC Curve achieved by the landmarker weka.classifiers.bayes.NaiveBayes', 'double', 0, 1, NULL, 9999, 'false', '2017-03-03 14:38:02'),
('NaiveBayesErrRate', 'DataQuality', NULL, 'Error rate achieved by the landmarker weka.classifiers.bayes.NaiveBayes', 'double', 0, 1, NULL, 9999, 'false', '2017-03-03 14:38:02'),
('NaiveBayesKappa', 'DataQuality', NULL, 'Kappa coefficient achieved by the landmarker weka.classifiers.bayes.NaiveBayes', 'double', NULL, 1, NULL, 9999, 'false', '2017-03-03 14:38:02'),
('NegativeCount', 'FeatureQuality', NULL, '(Numerical Attribute Only) Number of stricly negative attribute values.', 'integer', 0, NULL, NULL, 9999, 'false', '2017-03-03 14:44:04'),
('NegativePercentage', 'FeatureQuality', NULL, '(Numerical Attribute Only) Percentage of strictly negative attribute values.', 'double', 0, 1, NULL, 9999, 'false', '2017-03-03 14:44:04'),
('NoiseToSignalRatio', 'DataQuality', NULL, 'An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.', 'double', NULL, NULL, NULL, 9999, 'false', '2017-03-03 14:38:02'),
('NonMissingValuesCount', 'FeatureQuality', NULL, '(Any Attribute Type) Number of non missing values.', 'integer', 0, NULL, NULL, 9999, 'false', '2017-03-03 14:44:04'),
('NumberOfBinaryFeatures', 'DataQuality', NULL, 'Number of binary attributes.', 'integer', 0, NULL, NULL, 9999, 'false', '2017-03-03 14:38:02'),
('NumberOfClasses', 'DataQuality', NULL, 'Number of distinct values of the target attribute (if it is nominal).', 'integer', 0, NULL, NULL, 3, 'true', '2017-03-03 14:38:02'),
('NumberOfFeatures', 'DataQuality', NULL, 'Number of attributes (columns) of the dataset.', 'integer', 0, NULL, NULL, 2, 'true', '2017-03-03 14:38:02'),
('NumberOfInstances', 'DataQuality', NULL, 'Number of instances (rows) of the dataset.', 'integer', 0, NULL, NULL, 1, 'true', '2017-03-03 14:51:00'),
('NumberOfInstancesWithMissingValues', 'DataQuality', NULL, 'Number of instances with at least one value missing.', 'integer', 0, NULL, NULL, 5, 'false', '2017-03-03 14:38:02'),
('NumberOfMissingValues', 'DataQuality', NULL, 'Number of missing values in the dataset.', 'integer', 0, NULL, NULL, 4, 'true', '2017-03-03 14:38:02'),
('NumberOfNumericFeatures', 'DataQuality', NULL, 'Number of numeric attributes.', 'integer', 0, NULL, NULL, 6, 'true', '2017-03-03 14:38:02'),
('NumberOfSymbolicFeatures', 'DataQuality', NULL, 'Number of nominal attributes.', 'integer', 0, NULL, NULL, 7, 'true', '2017-03-03 14:38:02'),
('PearsonCorrellationCoefficient', 'FeatureQuality', NULL, '(Any Attribute Type) Pearson Correlation Coeficient between the attribute values and the target attribute.', 'double', -1, 1, NULL, 9999, 'false', '2017-03-03 14:44:04'),
('PercentageOfBinaryFeatures', 'DataQuality', NULL, 'Percentage of binary attributes.', 'double', 0, 1, NULL, 9999, 'false', '2017-03-03 14:38:02'),
('PercentageOfInstancesWithMissingValues', 'DataQuality', NULL, 'Percentage of instances having missing values.', 'double', 0, 1, NULL, 9999, 'false', '2017-03-03 14:38:02'),
('PercentageOfLeastFrequentClass', 'FeatureQuality', NULL, '(Any Attribute Type) Occurrence rate of the least frequent attribute value.', 'double', 0, 1, NULL, 9999, 'false', '2017-03-03 14:44:04'),
('PercentageOfMissing', 'FeatureQuality', NULL, '(Any Attribute Type) Percentage of missing attribute values.', 'double', 0, 1, NULL, 9999, 'false', '2017-03-03 14:44:04'),
('PercentageOfMissingValues', 'DataQuality', NULL, 'Percentage of missing values.', 'double', 0, 1, NULL, 9999, 'false', '2017-03-03 14:38:02'),
('PercentageOfMostFrequentClass', 'FeatureQuality', NULL, '(Any Attribute Type) Occurrence rate of the most frequent attribute value.', 'double', 0, 1, NULL, 9999, 'false', '2017-03-03 14:44:04'),
('PercentageOfNonMissing', 'FeatureQuality', NULL, '(Any Attribute Type) Percentage of non-missing attribute values.', 'double', 0, 1, NULL, 9999, 'false', '2017-03-03 14:44:04'),
('PercentageOfNumericFeatures', 'DataQuality', NULL, 'Percentage of numeric attributes.', 'double', 0, 1, NULL, 9999, 'false', '2017-03-03 14:38:02'),
('PercentageOfSymbolicFeatures', 'DataQuality', NULL, 'Percentage of nominal attributes.', 'double', 0, 1, NULL, 9999, 'false', '2017-03-03 14:38:02'),
('PerformsClassification', 'AlgorithmQuality', NULL, 'true if the algorithm can perform classification, false otherwise', 'undefined', NULL, NULL, NULL, 9999, 'true', '2014-12-31 23:00:00'),
('PerformsRegression', 'AlgorithmQuality', NULL, 'true if the algorithm can perform regression, false otherwise', 'undefined', NULL, NULL, NULL, 9999, 'true', '2014-12-31 23:00:00'),
('PositiveCount', 'FeatureQuality', NULL, '(Numerical Attribute Only) Number of positive attribute values.', 'integer', 0, NULL, NULL, 9999, 'false', '2017-03-03 14:44:04'),
('PositivePercentage', 'FeatureQuality', NULL, '(Numerical Attribute Only) Percentage of positive attribute values.', 'double', 0, 1, NULL, 9999, 'false', '2017-03-03 14:44:04'),
('Quartile1AttributeEntropy', 'DataQuality', NULL, 'First quartile of entropy among attributes.', 'double', 0, NULL, NULL, 9999, 'false', '2017-03-03 14:38:02'),
('Quartile1KurtosisOfNumericAtts', 'DataQuality', NULL, 'First quartile of kurtosis among attributes of the numeric type.', 'double', NULL, NULL, NULL, 9999, 'false', '2017-03-03 14:38:02'),
('Quartile1MeansOfNumericAtts', 'DataQuality', NULL, 'First quartile of means among attributes of the numeric type.', 'double', NULL, NULL, NULL, 9999, 'false', '2017-03-03 14:38:02'),
('Quartile1MutualInformation', 'DataQuality', NULL, 'First quartile of mutual information between the nominal attributes and the target attribute.', 'double', 0, NULL, NULL, 9999, 'false', '2017-03-03 14:38:02'),
('Quartile1SkewnessOfNumericAtts', 'DataQuality', NULL, 'First quartile of skewness among attributes of the numeric type.', 'double', NULL, NULL, NULL, 9999, 'false', '2017-03-03 14:38:02'),
('Quartile1StdDevOfNumericAtts', 'DataQuality', NULL, 'First quartile of standard deviation of attributes of the numeric type.', 'double', NULL, NULL, NULL, 9999, 'false', '2017-03-03 14:38:02'),
('Quartile2AttributeEntropy', 'DataQuality', NULL, 'Second quartile (Median) of entropy among attributes.', 'double', 0, NULL, NULL, 9999, 'false', '2017-03-03 14:38:02'),
('Quartile2KurtosisOfNumericAtts', 'DataQuality', NULL, 'Second quartile (Median) of kurtosis among attributes of the numeric type.', 'double', NULL, NULL, NULL, 9999, 'false', '2017-03-03 14:38:02'),
('Quartile2MeansOfNumericAtts', 'DataQuality', NULL, 'Second quartile (Median) of means among attributes of the numeric type.', 'double', NULL, NULL, NULL, 9999, 'false', '2017-03-03 14:38:02'),
('Quartile2MutualInformation', 'DataQuality', NULL, 'Second quartile (Median) of mutual information between the nominal attributes and the target attribute.', 'double', 0, NULL, NULL, 9999, 'false', '2017-03-03 14:38:02'),
('Quartile2SkewnessOfNumericAtts', 'DataQuality', NULL, 'Second quartile (Median) of skewness among attributes of the numeric type.', 'double', NULL, NULL, NULL, 9999, 'false', '2017-03-03 14:38:02'),
('Quartile2StdDevOfNumericAtts', 'DataQuality', NULL, 'Second quartile (Median) of standard deviation of attributes of the numeric type.', 'double', NULL, NULL, NULL, 9999, 'false', '2017-03-03 14:38:02'),
('Quartile3AttributeEntropy', 'DataQuality', NULL, 'Third quartile of entropy among attributes.', 'double', 0, NULL, NULL, 9999, 'false', '2017-03-03 14:38:02'),
('Quartile3KurtosisOfNumericAtts', 'DataQuality', NULL, 'Third quartile of kurtosis among attributes of the numeric type.', 'double', NULL, NULL, NULL, 9999, 'false', '2017-03-03 14:38:02'),
('Quartile3MeansOfNumericAtts', 'DataQuality', NULL, 'Third quartile of means among attributes of the numeric type.', 'double', NULL, NULL, NULL, 9999, 'false', '2017-03-03 14:38:02'),
('Quartile3MutualInformation', 'DataQuality', NULL, 'Third quartile of mutual information between the nominal attributes and the target attribute.', 'double', 0, NULL, NULL, 9999, 'false', '2017-03-03 14:38:02'),
('Quartile3SkewnessOfNumericAtts', 'DataQuality', NULL, 'Third quartile of skewness among attributes of the numeric type.', 'double', NULL, NULL, NULL, 9999, 'false', '2017-03-03 14:38:02'),
('Quartile3StdDevOfNumericAtts', 'DataQuality', NULL, 'Third quartile of standard deviation of attributes of the numeric type.', 'double', NULL, NULL, NULL, 9999, 'false', '2017-03-03 14:38:02'),
('REPTreeDepth1AUC', 'DataQuality', NULL, 'Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 1', 'double', 0, 1, NULL, 9999, 'false', '2017-03-03 14:38:02'),
('REPTreeDepth1ErrRate', 'DataQuality', NULL, 'Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 1', 'double', 0, 1, NULL, 9999, 'false', '2017-03-03 14:38:02'),
('REPTreeDepth1Kappa', 'DataQuality', NULL, 'Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 1', 'double', NULL, 1, NULL, 9999, 'false', '2017-03-03 14:38:02'),
('REPTreeDepth2AUC', 'DataQuality', NULL, 'Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 2', 'double', 0, 1, NULL, 9999, 'false', '2017-03-03 14:38:02'),
('REPTreeDepth2ErrRate', 'DataQuality', NULL, 'Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 2', 'double', 0, 1, NULL, 9999, 'false', '2017-03-03 14:38:02'),
('REPTreeDepth2Kappa', 'DataQuality', NULL, 'Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 2', 'double', NULL, 1, NULL, 9999, 'false', '2017-03-03 14:38:02'),
('REPTreeDepth3AUC', 'DataQuality', NULL, 'Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 3', 'double', 0, 1, NULL, 9999, 'false', '2017-03-03 14:38:02'),
('REPTreeDepth3ErrRate', 'DataQuality', NULL, 'Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 3', 'double', 0, 1, NULL, 9999, 'false', '2017-03-03 14:38:02'),
('REPTreeDepth3Kappa', 'DataQuality', NULL, 'Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 3', 'double', NULL, 1, NULL, 9999, 'false', '2017-03-03 14:38:02'),
('RandomTreeDepth1AUC', 'DataQuality', NULL, 'Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1', 'double', 0, 1, NULL, 9999, 'false', '2017-03-03 14:38:02'),
('RandomTreeDepth1ErrRate', 'DataQuality', NULL, 'Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1', 'double', 0, 1, NULL, 9999, 'false', '2017-03-03 14:38:02'),
('RandomTreeDepth1Kappa', 'DataQuality', NULL, 'Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1', 'double', NULL, 1, NULL, 9999, 'false', '2017-03-03 14:38:02'),
('RandomTreeDepth2AUC', 'DataQuality', NULL, 'Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2', 'double', 0, 1, NULL, 9999, 'false', '2017-03-03 14:38:02'),
('RandomTreeDepth2ErrRate', 'DataQuality', NULL, 'Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2', 'double', 0, 1, NULL, 9999, 'false', '2017-03-03 14:38:02'),
('RandomTreeDepth2Kappa', 'DataQuality', NULL, 'Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2', 'double', NULL, 1, NULL, 9999, 'false', '2017-03-03 14:38:02'),
('RandomTreeDepth3AUC', 'DataQuality', NULL, 'Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3', 'double', 0, 1, NULL, 9999, 'false', '2017-03-03 14:38:02'),
('RandomTreeDepth3ErrRate', 'DataQuality', NULL, 'Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3', 'double', 0, 1, NULL, 9999, 'false', '2017-03-03 14:38:02'),
('RandomTreeDepth3Kappa', 'DataQuality', NULL, 'Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3', 'double', NULL, 1, NULL, 9999, 'false', '2017-03-03 14:38:02'),
('RationOfDistinguishingCategoriesByKolmogorovSmirnoffSlashChiSquare', 'FeatureQuality', NULL, '(Nominal Attribute Type) Ratio of attribute values that after sub-setting the dataset to that attribute value lead to different distribution of the target as indicated by the Kolmogorov-Smirnoff statistical test.', 'double', 0, 1, NULL, 9999, 'false', '2017-03-03 14:44:04'),
('RationOfDistinguishingCategoriesByUtest', 'FeatureQuality', NULL, '(Nominal Attribute Type) Ratio of attribute values that after sub-setting the dataset to that attribute value lead to different distribution of the target as indicated by the Mann-Whitney U-test.', 'double', 0, 1, NULL, 9999, 'false', '2017-03-03 14:44:04'),
('Skewness', 'FeatureQuality', NULL, '(Numerical Attribute Only) Skewness of the attribute values.', 'double', NULL, NULL, NULL, 9999, 'false', '2017-03-03 14:44:04'),
('SpearmanCorrelationCoefficient', 'FeatureQuality', NULL, '(Any Attribute Type) Spearman Correlation Coeficient between the attribute values and the target attribute.', 'double', -1, 1, NULL, 9999, 'false', '2017-03-03 14:44:04'),
('StandardDeviation', 'FeatureQuality', NULL, '(Numerical Attribute Only) Standard deviation of the attribute values.', 'double', NULL, NULL, NULL, 9999, 'false', '2017-03-03 14:44:04'),
('StdvNominalAttDistinctValues', 'DataQuality', NULL, 'Standard deviation of the number of distinct values among attributes of the nominal type.', 'double', 0, NULL, NULL, 9999, 'false', '2017-03-03 14:38:02'),
('UniformDiscrete', 'FeatureQuality', NULL, '(Nominal Attribute Type) 0 if the chi-squared test rejects H0 (the attribute distribution is a uniform discrete distribution) at the 0.05 significance level, 1 otherwise.', 'integer', 0, 1, NULL, 9999, 'false', '2017-03-03 14:44:04'),
('ValueRange', 'FeatureQuality', NULL, '(Numerical Attribute Only) Difference between maximum and minimum of the attribute values.', 'double', NULL, NULL, NULL, 9999, 'false', '2017-03-03 14:44:04'),
('ValuesCount', 'FeatureQuality', NULL, '(Any Attribute Type) Total number of values. Equivalent to the number of instances in the dataset.', 'integer', 0, NULL, NULL, 9999, 'false', '2017-03-03 14:44:04'),
('Variance', 'FeatureQuality', NULL, '(Numerical Attribute Only) Variance of the attribute values.', 'double', NULL, NULL, NULL, 9999, 'false', '2017-03-03 14:44:04'),
('VarianceWeightKohaviWolpert', 'AlgorithmQuality', '', 'empirically calculated average ratio of variance error in the total error, using Kohavi-Wolpert\'s definition of bias and variance', 'undefined', NULL, NULL, NULL, 9999, 'false', '2014-12-31 23:00:00'),
('VarianceWeightWebb', 'AlgorithmQuality', NULL, 'empirically determined average ratio of variance error in the total error, using Webb\'s definition of bias and variance', 'undefined', NULL, NULL, NULL, 9999, 'false', '2014-12-31 23:00:00'),
('kNN1NAUC', 'DataQuality', NULL, 'Area Under the ROC Curve achieved by the landmarker weka.classifiers.lazy.IBk', 'double', 0, 1, NULL, 9999, 'false', '2017-03-03 14:38:02'),
('kNN1NErrRate', 'DataQuality', NULL, 'Error rate achieved by the landmarker weka.classifiers.lazy.IBk', 'double', 0, 1, NULL, 9999, 'false', '2017-03-03 14:38:02'),
('kNN1NKappa', 'DataQuality', NULL, 'Kappa coefficient achieved by the landmarker weka.classifiers.lazy.IBk', 'double', NULL, 1, NULL, 9999, 'false', '2017-03-03 14:38:02');