AdaBoostM1: Base classifiers and their weights: Best-First Decision Tree meta_MaxNominalAttDistinctValues < 11.5 | meta_HoeffdingAdwin.changes < 0.5: moa.LeveragingBag_HoeffdingTree(1)(33.0/6.0) | meta_HoeffdingAdwin.changes >= 0.5 | | meta_RandomTreeDepth3AUC_K=0 < 0.81662: moa.OzaBoost_HoeffdingTree(1)(12.0/2.0) | | meta_RandomTreeDepth3AUC_K=0 >= 0.81662 | | | meta_J48.00001.ErrRate < 13.6: moa.NaiveBayes(1)(4.0/0.0) | | | meta_J48.00001.ErrRate >= 13.6: moa.LeveragingBag_HoeffdingTree(1)(5.0/0.0) meta_MaxNominalAttDistinctValues >= 11.5: moa.OzaBag_HoeffdingTree(1)(8.0/1.0) Size of the Tree: 9 Number of Leaf Nodes: 5 Weight: 1.23 Best-First Decision Tree meta_REPTreeDepth2ErrRate < 69.25 | meta_MeanSkewnessOfNumericAtts < -0.00467 | | openml_task_id < 192.5: moa.SPegasos(1)(6.0/0.0) | | openml_task_id >= 192.5: moa.LeveragingBag_kNN(1)(6.0/1.0) | meta_MeanSkewnessOfNumericAtts >= -0.00467 | | meta_MaxNominalAttDistinctValues < 7.5 | | | meta_NoiseToSignalRatio < 43.14052: moa.LeveragingBag_HoeffdingTree(1)(27.0/2.0) | | | meta_NoiseToSignalRatio >= 43.14052: moa.OzaBoost_HoeffdingTree(1)(3.0/0.0) | | meta_MaxNominalAttDistinctValues >= 7.5 | | | openml_task_id < 2127.5 | | | | meta_NBAUC < 0.88314: moa.LeveragingBag_HoeffdingTree(1)(1.0/1.0) | | | | meta_NBAUC >= 0.88314: moa.OzaBoost_HoeffdingTree(1)(11.0/0.0) | | | openml_task_id >= 2127.5: moa.LeveragingBag_HoeffdingTree(1)(4.0/0.0) meta_REPTreeDepth2ErrRate >= 69.25: moa.OzaBag_HoeffdingTree(1)(9.0/0.0) Size of the Tree: 15 Number of Leaf Nodes: 8 Weight: 1.18 Best-First Decision Tree meta_NBAUC < 0.79037 | openml_task_id < 158.0: moa.OzaBag_HoeffdingTree(1)(2.0/0.0) | openml_task_id >= 158.0: moa.LeveragingBag_kNN(1)(12.0/1.0) meta_NBAUC >= 0.79037 | meta_Dimensionality < 0.0315 | | meta_J48.00001.AUC < 0.79889 | | | meta_ClassEntropy < 0.87543 | | | | meta_REPTreeDepth2ErrRate < 26.45: moa.LeveragingBag_HoeffdingTree(1)(2.0/0.0) | | | | meta_REPTreeDepth2ErrRate >= 26.45: moa.SPegasos(1)(4.0/0.0) | | | meta_ClassEntropy >= 0.87543: moa.OzaBag_HoeffdingTree(1)(9.0/0.0) | | meta_J48.00001.AUC >= 0.79889: moa.LeveragingBag_HoeffdingTree(1)(23.0/2.0) | meta_Dimensionality >= 0.0315 | | meta_NoiseToSignalRatio < 3.09099: moa.LeveragingBag_HoeffdingTree(1)(3.0/4.0) | | meta_NoiseToSignalRatio >= 3.09099: moa.OzaBoost_HoeffdingTree(1)(9.0/0.0) Size of the Tree: 15 Number of Leaf Nodes: 8 Weight: 0.76 Best-First Decision Tree meta_RandomTreeDepth1AUC_K=0 < 0.7532 | meta_ClassCount < 5.5 | | meta_REPTreeDepth2ErrRate < 62.65 | | | meta_MaxNominalAttDistinctValues < 12.0 | | | | meta_NBKappa < 0.77275: moa.LeveragingBag_HoeffdingTree(1)(20.0/2.0) | | | | meta_NBKappa >= 0.77275: moa.SPegasos(1)(2.0/0.0) | | | meta_MaxNominalAttDistinctValues >= 12.0: moa.OzaBag_HoeffdingTree(1)(3.0/0.0) | | meta_REPTreeDepth2ErrRate >= 62.65: moa.LeveragingBag_kNN(1)(4.0/0.0) | meta_ClassCount >= 5.5 | | meta_REPTreeDepth2ErrRate < 69.25 | | | meta_RandomTreeDepth1AUC_K=0 < 0.66891 | | | | openml_task_id < 166.0: moa.LeveragingBag_HoeffdingTree(1)(2.0/0.0) | | | | openml_task_id >= 166.0 | | | | | openml_task_id < 178.5: moa.NaiveBayes(1)(2.0/0.0) | | | | | openml_task_id >= 178.5: moa.LeveragingBag_kNN(1)(2.0/1.0) | | | meta_RandomTreeDepth1AUC_K=0 >= 0.66891: moa.OzaBoost_HoeffdingTree(1)(13.0/1.0) | | meta_REPTreeDepth2ErrRate >= 69.25: moa.OzaBag_HoeffdingTree(1)(5.0/0.0) meta_RandomTreeDepth1AUC_K=0 >= 0.7532: moa.OzaBag_HoeffdingTree(1)(13.0/1.0) Size of the Tree: 19 Number of Leaf Nodes: 10 Weight: 1.05 Best-First Decision Tree meta_REPTreeDepth2Kappa < 0.45625 | meta_REPTreeDepth2Kappa < 0.23338 | | meta_J48.00001.ErrRate < 39.45 | | | meta_DecisionStumpKappa < 0.12968 | | | | openml_task_id < 191.0: moa.OzaBoost_HoeffdingTree(1)(2.0/0.0) | | | | openml_task_id >= 191.0: moa.LeveragingBag_HoeffdingTree(1)(2.0/0.0) | | | meta_DecisionStumpKappa >= 0.12968: moa.LeveragingBag_kNN(1)(8.0/0.0) | | meta_J48.00001.ErrRate >= 39.45: moa.OzaBag_HoeffdingTree(1)(10.0/0.0) | meta_REPTreeDepth2Kappa >= 0.23338 | | meta_REPTreeDepth1AUC < 0.65381 | | | meta_REPTreeDepth2ErrRate < 37.25: moa.SPegasos(1)(2.0/1.0) | | | meta_REPTreeDepth2ErrRate >= 37.25: moa.LeveragingBag_HoeffdingTree(1)(2.0/0.0) | | meta_REPTreeDepth1AUC >= 0.65381: moa.OzaBoost_HoeffdingTree(1)(20.0/2.0) meta_REPTreeDepth2Kappa >= 0.45625 | meta_REPTreeDepth2AUC < 0.85888: moa.LeveragingBag_HoeffdingTree(1)(16.0/0.0) | meta_REPTreeDepth2AUC >= 0.85888 | | meta_REPTreeDepth2ErrRate < 23.3: moa.OzaBag_HoeffdingTree(1)(2.0/1.0) | | meta_REPTreeDepth2ErrRate >= 23.3: moa.NaiveBayes(1)(3.0/0.0) Size of the Tree: 19 Number of Leaf Nodes: 10 Weight: 1.35 Best-First Decision Tree meta_MaxNominalAttDistinctValues < 6.0 | meta_REPTreeDepth2AUC < 0.76226 | | meta_REPTreeDepth2AUC < 0.69518 | | | meta_ClassCount < 4.5: moa.LeveragingBag_HoeffdingTree(1)(10.0/0.0) | | | meta_ClassCount >= 4.5 | | | | meta_MeanKurtosisOfNumericAtts < -0.00816: moa.SPegasos(1)(1.0/1.0) | | | | meta_MeanKurtosisOfNumericAtts >= -0.00816: moa.LeveragingBag_kNN(1)(8.0/0.0) | | meta_REPTreeDepth2AUC >= 0.69518: moa.OzaBag_HoeffdingTree(1)(10.0/1.0) | meta_REPTreeDepth2AUC >= 0.76226 | | meta_NaiveBayesAdwin.changes < 4.5: moa.LeveragingBag_HoeffdingTree(1)(23.0/1.0) | | meta_NaiveBayesAdwin.changes >= 4.5: moa.OzaBoost_HoeffdingTree(1)(2.0/0.0) meta_MaxNominalAttDistinctValues >= 6.0 | meta_NumNominalAtts < 23.5: moa.OzaBag_HoeffdingTree(1)(5.0/1.0) | meta_NumNominalAtts >= 23.5: moa.OzaBoost_HoeffdingTree(1)(8.0/0.0) Size of the Tree: 15 Number of Leaf Nodes: 8 Weight: 1.32 Best-First Decision Tree meta_NBErrRate < 4.2: moa.NaiveBayes(1)(8.0/0.0) meta_NBErrRate >= 4.2 | meta_NoiseToSignalRatio < 22.44849 | | meta_J48.00001.ErrRate < 42.65 | | | meta_MeanSkewnessOfNumericAtts < -0.03901: moa.LeveragingBag_kNN(1)(3.0/0.0) | | | meta_MeanSkewnessOfNumericAtts >= -0.03901 | | | | meta_HoeffdingDDM.changes < 0.5 | | | | | meta_DecisionStumpAUC < 0.74948: moa.LeveragingBag_HoeffdingTree(1)(30.0/2.0) | | | | | meta_DecisionStumpAUC >= 0.74948 | | | | | | meta_MeanMutualInformation < 0.07851: moa.OzaBag_HoeffdingTree(1)(5.0/0.0) | | | | | | meta_MeanMutualInformation >= 0.07851: moa.LeveragingBag_HoeffdingTree(1)(8.0/0.0) | | | | meta_HoeffdingDDM.changes >= 0.5: moa.LeveragingBag_kNN(1)(2.0/1.0) | | meta_J48.00001.ErrRate >= 42.65 | | | meta_J48.00001.ErrRate < 53.0: moa.OzaBoost_HoeffdingTree(1)(5.0/0.0) | | | meta_J48.00001.ErrRate >= 53.0: moa.OzaBag_HoeffdingTree(1)(2.0/0.0) | meta_NoiseToSignalRatio >= 22.44849: moa.OzaBoost_HoeffdingTree(1)(5.0/0.0) Size of the Tree: 17 Number of Leaf Nodes: 9 Weight: 1.4 Best-First Decision Tree meta_EquivalentNumberOfAtts < -4.80531 | meta_J48.00001.AUC < 0.71267: moa.LeveragingBag_HoeffdingTree(1)(3.0/0.0) | meta_J48.00001.AUC >= 0.71267: moa.OzaBoost_HoeffdingTree(1)(13.0/0.0) meta_EquivalentNumberOfAtts >= -4.80531 | meta_PositivePercentage < 0.465 | | meta_NaiveBayesAdwin.changes < 4.5: moa.LeveragingBag_HoeffdingTree(1)(35.0/6.0) | | meta_NaiveBayesAdwin.changes >= 4.5 | | | openml_task_id < 2133.5: moa.OzaBoost_HoeffdingTree(1)(4.0/0.0) | | | openml_task_id >= 2133.5: moa.OzaBag_HoeffdingTree(1)(3.0/0.0) | meta_PositivePercentage >= 0.465: moa.OzaBoost_HoeffdingTree(1)(6.0/1.0) Size of the Tree: 11 Number of Leaf Nodes: 6 Weight: 0.73 Best-First Decision Tree meta_ClassCount < 8.5 | meta_MeanMutualInformation < 0.29819 | | meta_StdvNominalAttDistinctValues < 4.32938 | | | meta_REPTreeDepth2ErrRate < 58.8 | | | | meta_NBAUC < 0.87144: moa.LeveragingBag_HoeffdingTree(1)(17.0/1.0) | | | | meta_NBAUC >= 0.87144 | | | | | meta_J48.00001.AUC < 0.8239 | | | | | | meta_MeanMutualInformation < 0.06689: moa.OzaBoost_HoeffdingTree(1)(5.0/1.0) | | | | | | meta_MeanMutualInformation >= 0.06689: moa.OzaBag_HoeffdingTree(1)(2.0/1.0) | | | | | meta_J48.00001.AUC >= 0.8239: moa.LeveragingBag_HoeffdingTree(1)(7.0/1.0) | | | meta_REPTreeDepth2ErrRate >= 58.8: moa.LeveragingBag_kNN(1)(5.0/0.0) | | meta_StdvNominalAttDistinctValues >= 4.32938: moa.OzaBag_HoeffdingTree(1)(6.0/0.0) | meta_MeanMutualInformation >= 0.29819: moa.NaiveBayes(1)(7.0/0.0) meta_ClassCount >= 8.5 | meta_REPTreeDepth2ErrRate < 69.05: moa.OzaBoost_HoeffdingTree(1)(15.0/1.0) | meta_REPTreeDepth2ErrRate >= 69.05: moa.OzaBag_HoeffdingTree(1)(2.0/0.0) Size of the Tree: 17 Number of Leaf Nodes: 9 Weight: 1.33 Best-First Decision Tree meta_MaxNominalAttDistinctValues < 11.0 | meta_MeanKurtosisOfNumericAtts < -1.15015: moa.SPegasos(1)(6.0/0.0) | meta_MeanKurtosisOfNumericAtts >= -1.15015 | | meta_NBAUC < 0.99698 | | | meta_NumNumericAtts < 20.0 | | | | meta_RandomTreeDepth1AUC_K=0 < 0.75326: moa.LeveragingBag_HoeffdingTree(1)(31.0/8.0) | | | | meta_RandomTreeDepth1AUC_K=0 >= 0.75326: moa.OzaBag_HoeffdingTree(1)(4.0/1.0) | | | meta_NumNumericAtts >= 20.0: moa.OzaBoost_HoeffdingTree(1)(4.0/0.0) | | meta_NBAUC >= 0.99698: moa.NaiveBayes(1)(5.0/0.0) meta_MaxNominalAttDistinctValues >= 11.0: moa.OzaBag_HoeffdingTree(1)(11.0/1.0) Size of the Tree: 11 Number of Leaf Nodes: 6 Weight: 1.13 Best-First Decision Tree meta_NBErrRate < 28.0 | meta_NBErrRate < 3.25: moa.NaiveBayes(1)(5.0/0.0) | meta_NBErrRate >= 3.25 | | meta_DecisionStumpAUC < 0.63372: moa.SPegasos(1)(4.0/0.0) | | meta_DecisionStumpAUC >= 0.63372 | | | meta_MaxNominalAttDistinctValues < 11.0 | | | | meta_REPTreeDepth2AUC < 0.76122: moa.OzaBag_HoeffdingTree(1)(3.0/1.0) | | | | meta_REPTreeDepth2AUC >= 0.76122 | | | | | meta_EquivalentNumberOfAtts < 26.5348: moa.LeveragingBag_HoeffdingTree(1)(19.0/1.0) | | | | | meta_EquivalentNumberOfAtts >= 26.5348: moa.OzaBoost_HoeffdingTree(1)(2.0/0.0) | | | meta_MaxNominalAttDistinctValues >= 11.0: moa.OzaBag_HoeffdingTree(1)(6.0/1.0) meta_NBErrRate >= 28.0 | meta_REPTreeDepth3Kappa < 0.28666 | | meta_J48.00001.ErrRate < 36.65: moa.LeveragingBag_kNN(1)(11.0/0.0) | | meta_J48.00001.ErrRate >= 36.65: moa.LeveragingBag_HoeffdingTree(1)(4.0/1.0) | meta_REPTreeDepth3Kappa >= 0.28666: moa.OzaBoost_HoeffdingTree(1)(13.0/0.0) Size of the Tree: 17 Number of Leaf Nodes: 9 Weight: 1.49 Best-First Decision Tree meta_MinNominalAttDistinctValues < 2.5 | meta_NaiveBayesAdwin.changes < 3.5 | | meta_MeanNominalAttDistinctValues < 5.11869 | | | meta_MeanAttributeEntropy < 1.37438 | | | | meta_REPTreeDepth2ErrRate < 62.65: moa.LeveragingBag_HoeffdingTree(1)(31.0/4.0) | | | | meta_REPTreeDepth2ErrRate >= 62.65: moa.LeveragingBag_kNN(1)(1.0/1.0) | | | meta_MeanAttributeEntropy >= 1.37438: moa.OzaBoost_HoeffdingTree(1)(2.0/0.0) | | meta_MeanNominalAttDistinctValues >= 5.11869: moa.OzaBag_HoeffdingTree(1)(4.0/0.0) | meta_NaiveBayesAdwin.changes >= 3.5 | | openml_task_id < 2133.5: moa.OzaBoost_HoeffdingTree(1)(8.0/0.0) | | openml_task_id >= 2133.5: moa.LeveragingBag_HoeffdingTree(1)(2.0/1.0) meta_MinNominalAttDistinctValues >= 2.5: moa.OzaBoost_HoeffdingTree(1)(16.0/1.0) Size of the Tree: 13 Number of Leaf Nodes: 7 Weight: 1.02 Best-First Decision Tree meta_EquivalentNumberOfAtts < -119.66908: moa.LeveragingBag_kNN(1)(11.0/0.0) meta_EquivalentNumberOfAtts >= -119.66908 | meta_REPTreeDepth2ErrRate < 69.25 | | meta_NoiseToSignalRatio < -19.61707: moa.LeveragingBag_HoeffdingTree(1)(12.0/0.0) | | meta_NoiseToSignalRatio >= -19.61707 | | | meta_MinNominalAttDistinctValues < 2.5 | | | | meta_J48.001.AUC < 0.81409 | | | | | meta_J48.001.AUC < 0.80191 | | | | | | meta_NBErrRate < 11.85: moa.SPegasos(1)(3.0/0.0) | | | | | | meta_NBErrRate >= 11.85 | | | | | | | meta_NoiseToSignalRatio < 4.03676: moa.OzaBoost_HoeffdingTree(1)(4.0/0.0) | | | | | | | meta_NoiseToSignalRatio >= 4.03676 | | | | | | | | meta_NumNominalAtts < 9.5: moa.LeveragingBag_HoeffdingTree(1)(2.0/0.0) | | | | | | | | meta_NumNominalAtts >= 9.5: moa.OzaBag_HoeffdingTree(1)(3.0/1.0) | | | | | meta_J48.001.AUC >= 0.80191: moa.LeveragingBag_kNN(1)(4.0/0.0) | | | | meta_J48.001.AUC >= 0.81409: moa.LeveragingBag_HoeffdingTree(1)(12.0/3.0) | | | meta_MinNominalAttDistinctValues >= 2.5: moa.OzaBoost_HoeffdingTree(1)(9.0/1.0) | meta_REPTreeDepth2ErrRate >= 69.25: moa.OzaBag_HoeffdingTree(1)(6.0/0.0) Size of the Tree: 19 Number of Leaf Nodes: 10 Weight: 0.86 Best-First Decision Tree meta_RandomTreeDepth1AUC_K=0 < 0.59002: moa.LeveragingBag_kNN(1)(11.0/0.0) meta_RandomTreeDepth1AUC_K=0 >= 0.59002 | meta_NBErrRate < 4.2: moa.NaiveBayes(1)(7.0/0.0) | meta_NBErrRate >= 4.2 | | meta_NumNominalAtts < 23.5 | | | openml_task_id < 165.5: moa.OzaBag_HoeffdingTree(1)(9.0/0.0) | | | openml_task_id >= 165.5 | | | | meta_J48.00001.ErrRate < 28.35: moa.LeveragingBag_HoeffdingTree(1)(18.0/1.0) | | | | meta_J48.00001.ErrRate >= 28.35 | | | | | openml_task_id < 1161.5: moa.SPegasos(1)(4.0/1.0) | | | | | openml_task_id >= 1161.5: moa.OzaBag_HoeffdingTree(1)(5.0/0.0) | | meta_NumNominalAtts >= 23.5 | | | meta_J48.0001.kappa < 0.52285: moa.LeveragingBag_HoeffdingTree(1)(4.0/1.0) | | | meta_J48.0001.kappa >= 0.52285: moa.OzaBoost_HoeffdingTree(1)(10.0/0.0) Size of the Tree: 15 Number of Leaf Nodes: 8 Weight: 1.13 Best-First Decision Tree meta_NBAUC < 0.78504 | meta_J48.001.AUC < 0.79184: moa.LeveragingBag_HoeffdingTree(1)(12.0/0.0) | meta_J48.001.AUC >= 0.79184: moa.LeveragingBag_kNN(1)(9.0/0.0) meta_NBAUC >= 0.78504 | meta_J48.0001.kappa < 0.61871 | | meta_NumNominalAtts < 19.0 | | | meta_J48.001.AUC < 0.77896: moa.OzaBag_HoeffdingTree(1)(4.0/4.0) | | | meta_J48.001.AUC >= 0.77896: moa.OzaBoost_HoeffdingTree(1)(4.0/0.0) | | meta_NumNominalAtts >= 19.0: moa.OzaBoost_HoeffdingTree(1)(20.0/0.0) | meta_J48.0001.kappa >= 0.61871 | | meta_REPTreeDepth2AUC < 0.85912: moa.LeveragingBag_HoeffdingTree(1)(12.0/0.0) | | meta_REPTreeDepth2AUC >= 0.85912: moa.OzaBag_HoeffdingTree(1)(5.0/1.0) Size of the Tree: 13 Number of Leaf Nodes: 7 Weight: 0.96 Best-First Decision Tree meta_NBErrRate < 4.2: moa.NaiveBayes(1)(6.0/0.0) meta_NBErrRate >= 4.2 | meta_REPTreeDepth2ErrRate < 69.25 | | meta_RandomTreeDepth1AUC_K=0 < 0.55549: moa.OzaBoost_HoeffdingTree(1)(5.0/1.0) | | meta_RandomTreeDepth1AUC_K=0 >= 0.55549 | | | meta_NBAUC < 0.76826 | | | | openml_task_id < 158.0: moa.OzaBag_HoeffdingTree(1)(2.0/0.0) | | | | openml_task_id >= 158.0: moa.LeveragingBag_kNN(1)(4.0/1.0) | | | meta_NBAUC >= 0.76826 | | | | meta_MeanKurtosisOfNumericAtts < -1.15015: moa.SPegasos(1)(3.0/1.0) | | | | meta_MeanKurtosisOfNumericAtts >= -1.15015 | | | | | meta_NBErrRate < 7.85: moa.OzaBoost_HoeffdingTree(1)(2.0/1.0) | | | | | meta_NBErrRate >= 7.85 | | | | | | meta_REPTreeDepth2AUC < 0.85888: moa.LeveragingBag_HoeffdingTree(1)(35.0/3.0) | | | | | | meta_REPTreeDepth2AUC >= 0.85888: moa.OzaBag_HoeffdingTree(1)(1.0/1.0) | meta_REPTreeDepth2ErrRate >= 69.25: moa.OzaBag_HoeffdingTree(1)(5.0/0.0) Size of the Tree: 17 Number of Leaf Nodes: 9 Weight: 0.86 Best-First Decision Tree meta_MeanNominalAttDistinctValues < 3.20148 | meta_PositivePercentage < 0.455 | | meta_PercentageOfNominalAtts < 0.94427 | | | meta_Dimensionality < 0.067 | | | | openml_task_id < 192.5 | | | | | openml_task_id < 184.0: moa.OzaBag_HoeffdingTree(1)(3.0/0.0) | | | | | openml_task_id >= 184.0: moa.SPegasos(1)(3.0/0.0) | | | | openml_task_id >= 192.5: moa.LeveragingBag_HoeffdingTree(1)(7.0/2.0) | | | meta_Dimensionality >= 0.067: moa.OzaBoost_HoeffdingTree(1)(4.0/0.0) | | meta_PercentageOfNominalAtts >= 0.94427: moa.LeveragingBag_HoeffdingTree(1)(23.0/1.0) | meta_PositivePercentage >= 0.455: moa.OzaBoost_HoeffdingTree(1)(5.0/0.0) meta_MeanNominalAttDistinctValues >= 3.20148 | meta_PositivePercentage < 0.0295: moa.OzaBoost_HoeffdingTree(1)(11.0/1.0) | meta_PositivePercentage >= 0.0295 | | openml_task_id < 1110.0: moa.OzaBag_HoeffdingTree(1)(6.0/0.0) | | openml_task_id >= 1110.0: moa.NaiveBayes(1)(4.0/1.0) Size of the Tree: 17 Number of Leaf Nodes: 9 Weight: 1.21 Best-First Decision Tree meta_MeanNominalAttDistinctValues < 5.11111 | meta_NBErrRate < 6.9 | | meta_REPTreeDepth2ErrRate < 51.15: moa.NaiveBayes(1)(5.0/0.0) | | meta_REPTreeDepth2ErrRate >= 51.15: moa.OzaBag_HoeffdingTree(1)(4.0/0.0) | meta_NBErrRate >= 6.9 | | meta_NBAUC < 0.77001 | | | openml_task_id < 1180.0: moa.LeveragingBag_kNN(1)(7.0/0.0) | | | openml_task_id >= 1180.0: moa.LeveragingBag_HoeffdingTree(1)(2.0/0.0) | | meta_NBAUC >= 0.77001 | | | meta_J48.00001.AUC < 0.82732 | | | | meta_DecisionStumpKappa < 0.08909: moa.LeveragingBag_HoeffdingTree(1)(7.0/1.0) | | | | meta_DecisionStumpKappa >= 0.08909 | | | | | meta_NBErrRate < 11.35: moa.LeveragingBag_HoeffdingTree(1)(2.0/1.0) | | | | | meta_NBErrRate >= 11.35: moa.OzaBoost_HoeffdingTree(1)(18.0/2.0) | | | meta_J48.00001.AUC >= 0.82732: moa.LeveragingBag_HoeffdingTree(1)(11.0/0.0) meta_MeanNominalAttDistinctValues >= 5.11111: moa.OzaBag_HoeffdingTree(1)(11.0/0.0) Size of the Tree: 17 Number of Leaf Nodes: 9 Weight: 0.85 Best-First Decision Tree meta_StdvNominalAttDistinctValues < 0.74526 | meta_DecisionStumpErrRate < 32.45: moa.LeveragingBag_HoeffdingTree(1)(22.0/0.0) | meta_DecisionStumpErrRate >= 32.45 | | meta_REPTreeDepth1Kappa < 0.11459 | | | meta_NBErrRate < 48.25: moa.LeveragingBag_HoeffdingTree(1)(11.0/0.0) | | | meta_NBErrRate >= 48.25: moa.LeveragingBag_kNN(1)(2.0/1.0) | | meta_REPTreeDepth1Kappa >= 0.11459 | | | meta_MinNominalAttDistinctValues < 2.5 | | | | meta_MeanMutualInformation < -0.4974: moa.SPegasos(1)(5.0/0.0) | | | | meta_MeanMutualInformation >= -0.4974 | | | | | meta_REPTreeDepth2ErrRate < 34.95: moa.NaiveBayes(1)(4.0/0.0) | | | | | meta_REPTreeDepth2ErrRate >= 34.95: moa.LeveragingBag_kNN(1)(2.0/0.0) | | | meta_MinNominalAttDistinctValues >= 2.5 | | | | meta_DecisionStumpAUC < 0.65173: moa.LeveragingBag_HoeffdingTree(1)(2.0/0.0) | | | | meta_DecisionStumpAUC >= 0.65173: moa.OzaBoost_HoeffdingTree(1)(9.0/0.0) meta_StdvNominalAttDistinctValues >= 0.74526 | meta_NumNominalAtts < 23.5: moa.OzaBag_HoeffdingTree(1)(7.0/1.0) | meta_NumNominalAtts >= 23.5: moa.OzaBoost_HoeffdingTree(1)(5.0/0.0) Size of the Tree: 19 Number of Leaf Nodes: 10 Weight: 1.54 Best-First Decision Tree meta_REPTreeDepth2ErrRate < 69.25 | meta_REPTreeDepth2ErrRate < 57.4 | | meta_NumNominalAtts < 41.0: moa.LeveragingBag_HoeffdingTree(1)(34.0/7.0) | | meta_NumNominalAtts >= 41.0: moa.OzaBoost_HoeffdingTree(1)(2.0/1.0) | meta_REPTreeDepth2ErrRate >= 57.4 | | meta_REPTreeDepth3AUC < 0.83098: moa.LeveragingBag_kNN(1)(4.0/1.0) | | meta_REPTreeDepth3AUC >= 0.83098: moa.OzaBoost_HoeffdingTree(1)(6.0/0.0) meta_REPTreeDepth2ErrRate >= 69.25: moa.OzaBag_HoeffdingTree(1)(16.0/0.0) Size of the Tree: 9 Number of Leaf Nodes: 5 Weight: 1.14 Best-First Decision Tree meta_REPTreeDepth2ErrRate < 69.25 | meta_ClassCount < 4.5: moa.LeveragingBag_HoeffdingTree(1)(20.0/1.0) | meta_ClassCount >= 4.5 | | meta_DecisionStumpAUC < 0.75282 | | | meta_MeanNominalAttDistinctValues < 3.20148 | | | | meta_RandomTreeDepth3AUC_K=0 < 0.78064 | | | | | openml_task_id < 188.5: moa.OzaBoost_HoeffdingTree(1)(4.0/0.0) | | | | | openml_task_id >= 188.5 | | | | | | meta_J48.00001.ErrRate < 34.7 | | | | | | | meta_REPTreeDepth2ErrRate < 36.95: moa.SPegasos(1)(2.0/1.0) | | | | | | | meta_REPTreeDepth2ErrRate >= 36.95: moa.LeveragingBag_kNN(1)(4.0/0.0) | | | | | | meta_J48.00001.ErrRate >= 34.7: moa.LeveragingBag_HoeffdingTree(1)(3.0/0.0) | | | | meta_RandomTreeDepth3AUC_K=0 >= 0.78064: moa.LeveragingBag_HoeffdingTree(1)(9.0/0.0) | | | meta_MeanNominalAttDistinctValues >= 3.20148: moa.OzaBoost_HoeffdingTree(1)(8.0/1.0) | | meta_DecisionStumpAUC >= 0.75282 | | | meta_REPTreeDepth2ErrRate < 23.05: moa.OzaBag_HoeffdingTree(1)(4.0/0.0) | | | meta_REPTreeDepth2ErrRate >= 23.05: moa.NaiveBayes(1)(4.0/0.0) meta_REPTreeDepth2ErrRate >= 69.25: moa.OzaBag_HoeffdingTree(1)(10.0/0.0) Size of the Tree: 19 Number of Leaf Nodes: 10 Weight: 1.62 Best-First Decision Tree meta_DecisionStumpAUC < 0.6217: moa.LeveragingBag_HoeffdingTree(1)(14.0/1.0) meta_DecisionStumpAUC >= 0.6217 | meta_MaxNominalAttDistinctValues < 11.0 | | meta_REPTreeDepth3Kappa < 0.39748 | | | openml_task_id < 1159.5 | | | | openml_task_id < 176.0: moa.LeveragingBag_HoeffdingTree(1)(2.0/0.0) | | | | openml_task_id >= 176.0: moa.LeveragingBag_kNN(1)(3.0/0.0) | | | openml_task_id >= 1159.5: moa.OzaBag_HoeffdingTree(1)(4.0/0.0) | | meta_REPTreeDepth3Kappa >= 0.39748 | | | meta_RandomTreeDepth3AUC_K=0 < 0.82938: moa.OzaBoost_HoeffdingTree(1)(18.0/0.0) | | | meta_RandomTreeDepth3AUC_K=0 >= 0.82938 | | | | meta_REPTreeDepth2ErrRate < 21.6: moa.OzaBag_HoeffdingTree(1)(3.0/0.0) | | | | meta_REPTreeDepth2ErrRate >= 21.6: moa.LeveragingBag_HoeffdingTree(1)(3.0/2.0) | meta_MaxNominalAttDistinctValues >= 11.0: moa.OzaBag_HoeffdingTree(1)(19.0/2.0) Size of the Tree: 15 Number of Leaf Nodes: 8 Weight: 1.19 Best-First Decision Tree meta_Dimensionality < 0.018 | meta_DecisionStumpAUC < 0.62137 | | meta_REPTreeDepth2ErrRate < 44.65: moa.SPegasos(1)(5.0/0.0) | | meta_REPTreeDepth2ErrRate >= 44.65 | | | meta_REPTreeDepth2ErrRate < 58.55: moa.LeveragingBag_HoeffdingTree(1)(2.0/0.0) | | | meta_REPTreeDepth2ErrRate >= 58.55: moa.LeveragingBag_kNN(1)(5.0/0.0) | meta_DecisionStumpAUC >= 0.62137 | | meta_REPTreeDepth2ErrRate < 15.65: moa.LeveragingBag_HoeffdingTree(1)(3.0/0.0) | | meta_REPTreeDepth2ErrRate >= 15.65: moa.OzaBag_HoeffdingTree(1)(17.0/1.0) meta_Dimensionality >= 0.018 | meta_DecisionStumpAUC < 0.65386: moa.LeveragingBag_HoeffdingTree(1)(8.0/1.0) | meta_DecisionStumpAUC >= 0.65386 | | meta_J48.00001.ErrRate < 16.5: moa.NaiveBayes(1)(6.0/2.0) | | meta_J48.00001.ErrRate >= 16.5: moa.OzaBoost_HoeffdingTree(1)(20.0/1.0) Size of the Tree: 15 Number of Leaf Nodes: 8 Weight: 1.32 Best-First Decision Tree meta_MeanNominalAttDistinctValues < 5.11869 | meta_J48.00001.ErrRate < 28.35 | | meta_REPTreeDepth2AUC < 0.85888: moa.LeveragingBag_HoeffdingTree(1)(27.0/0.0) | | meta_REPTreeDepth2AUC >= 0.85888 | | | openml_task_id < 173.5: moa.NaiveBayes(1)(2.0/0.0) | | | openml_task_id >= 173.5: moa.OzaBoost_HoeffdingTree(1)(3.0/0.0) | meta_J48.00001.ErrRate >= 28.35 | | meta_REPTreeDepth3ErrRate < 54.05 | | | meta_NBErrRate < 19.7: moa.SPegasos(1)(3.0/1.0) | | | meta_NBErrRate >= 19.7: moa.OzaBoost_HoeffdingTree(1)(10.0/1.0) | | meta_REPTreeDepth3ErrRate >= 54.05 | | | meta_J48.00001.ErrRate < 36.25: moa.LeveragingBag_kNN(1)(4.0/0.0) | | | meta_J48.00001.ErrRate >= 36.25 | | | | meta_REPTreeDepth2ErrRate < 69.25: moa.LeveragingBag_HoeffdingTree(1)(5.0/0.0) | | | | meta_REPTreeDepth2ErrRate >= 69.25: moa.OzaBag_HoeffdingTree(1)(3.0/0.0) meta_MeanNominalAttDistinctValues >= 5.11869: moa.OzaBag_HoeffdingTree(1)(12.0/0.0) Size of the Tree: 17 Number of Leaf Nodes: 9 Weight: 1.61 Best-First Decision Tree meta_MaxNominalAttDistinctValues < 11.5 | meta_Dimensionality < 0.0315 | | meta_PositivePercentage < 0.0365: moa.OzaBag_HoeffdingTree(1)(2.0/1.0) | | meta_PositivePercentage >= 0.0365: moa.LeveragingBag_HoeffdingTree(1)(27.0/0.0) | meta_Dimensionality >= 0.0315 | | meta_J48.00001.AUC < 0.70514: moa.LeveragingBag_HoeffdingTree(1)(7.0/0.0) | | meta_J48.00001.AUC >= 0.70514 | | | meta_NBErrRate < 4.2: moa.NaiveBayes(1)(5.0/0.0) | | | meta_NBErrRate >= 4.2 | | | | meta_PercentageOfBinaryAtts < 0.70137: moa.OzaBoost_HoeffdingTree(1)(15.0/1.0) | | | | meta_PercentageOfBinaryAtts >= 0.70137: moa.LeveragingBag_kNN(1)(3.0/1.0) meta_MaxNominalAttDistinctValues >= 11.5: moa.OzaBag_HoeffdingTree(1)(9.0/0.0) Size of the Tree: 13 Number of Leaf Nodes: 7 Weight: 1.47 Best-First Decision Tree meta_ClassEntropy < -0.18464 | meta_NBErrRate < 12.95: moa.SPegasos(1)(8.0/0.0) | meta_NBErrRate >= 12.95: moa.OzaBoost_HoeffdingTree(1)(6.0/1.0) meta_ClassEntropy >= -0.18464 | meta_StdvNominalAttDistinctValues < 0.36754: moa.LeveragingBag_HoeffdingTree(1)(29.0/7.0) | meta_StdvNominalAttDistinctValues >= 0.36754 | | meta_NumNominalAtts < 23.5 | | | meta_MeanSkewnessOfNumericAtts < 0.83931: moa.OzaBag_HoeffdingTree(1)(12.0/0.0) | | | meta_MeanSkewnessOfNumericAtts >= 0.83931: moa.LeveragingBag_HoeffdingTree(1)(3.0/0.0) | | meta_NumNominalAtts >= 23.5 | | | openml_task_id < 1168.5: moa.OzaBoost_HoeffdingTree(1)(3.0/0.0) | | | openml_task_id >= 1168.5: moa.NaiveBayes(1)(2.0/0.0) Size of the Tree: 13 Number of Leaf Nodes: 7 Weight: 0.97 Best-First Decision Tree meta_REPTreeDepth2ErrRate < 69.25 | meta_MeanNominalAttDistinctValues < 3.20148 | | meta_NumNumericAtts < 8.0: moa.LeveragingBag_HoeffdingTree(1)(23.0/2.0) | | meta_NumNumericAtts >= 8.0 | | | meta_HoeffdingDDM.warnings < 1.5: moa.LeveragingBag_HoeffdingTree(1)(4.0/3.0) | | | meta_HoeffdingDDM.warnings >= 1.5: moa.LeveragingBag_kNN(1)(8.0/2.0) | meta_MeanNominalAttDistinctValues >= 3.20148 | | meta_NBErrRate < 5.15: moa.NaiveBayes(1)(6.0/0.0) | | meta_NBErrRate >= 5.15 | | | meta_NumNominalAtts < 23.5 | | | | meta_NumNominalAtts < 7.5: moa.LeveragingBag_HoeffdingTree(1)(1.0/1.0) | | | | meta_NumNominalAtts >= 7.5: moa.OzaBag_HoeffdingTree(1)(5.0/0.0) | | | meta_NumNominalAtts >= 23.5: moa.OzaBoost_HoeffdingTree(1)(5.0/0.0) meta_REPTreeDepth2ErrRate >= 69.25: moa.OzaBag_HoeffdingTree(1)(11.0/0.0) Size of the Tree: 15 Number of Leaf Nodes: 8 Weight: 1.26 Best-First Decision Tree meta_MinNominalAttDistinctValues < 2.5 | meta_MeanKurtosisOfNumericAtts < -0.31753 | | openml_task_id < 1162.5: moa.SPegasos(1)(6.0/0.0) | | openml_task_id >= 1162.5: moa.OzaBag_HoeffdingTree(1)(8.0/0.0) | meta_MeanKurtosisOfNumericAtts >= -0.31753 | | meta_NBAUC < 0.77001 | | | meta_J48.00001.ErrRate < 36.65: moa.LeveragingBag_kNN(1)(9.0/0.0) | | | meta_J48.00001.ErrRate >= 36.65: moa.LeveragingBag_HoeffdingTree(1)(2.0/0.0) | | meta_NBAUC >= 0.77001 | | | meta_J48.001.ErrRate < 43.1: moa.LeveragingBag_HoeffdingTree(1)(16.0/3.0) | | | meta_J48.001.ErrRate >= 43.1: moa.OzaBoost_HoeffdingTree(1)(5.0/0.0) meta_MinNominalAttDistinctValues >= 2.5 | openml_task_id < 1124.5: moa.OzaBoost_HoeffdingTree(1)(19.0/1.0) | openml_task_id >= 1124.5: moa.LeveragingBag_HoeffdingTree(1)(2.0/0.0) Size of the Tree: 15 Number of Leaf Nodes: 8 Weight: 1.29 Best-First Decision Tree meta_DecisionStumpKappa < 0.52537 | meta_REPTreeDepth3AUC < 0.83098 | | meta_ClassEntropy < -0.36983 | | | meta_NBErrRate < 21.55: moa.SPegasos(1)(5.0/0.0) | | | meta_NBErrRate >= 21.55 | | | | meta_REPTreeDepth2ErrRate < 37.25: moa.OzaBoost_HoeffdingTree(1)(2.0/0.0) | | | | meta_REPTreeDepth2ErrRate >= 37.25: moa.LeveragingBag_kNN(1)(4.0/0.0) | | meta_ClassEntropy >= -0.36983 | | | meta_REPTreeDepth3ErrRate < 57.95: moa.LeveragingBag_HoeffdingTree(1)(18.0/3.0) | | | meta_REPTreeDepth3ErrRate >= 57.95 | | | | meta_REPTreeDepth2ErrRate < 66.7: moa.LeveragingBag_kNN(1)(2.0/0.0) | | | | meta_REPTreeDepth2ErrRate >= 66.7: moa.OzaBag_HoeffdingTree(1)(2.0/0.0) | meta_REPTreeDepth3AUC >= 0.83098 | | meta_RandomTreeDepth3AUC_K=0 < 0.8523: moa.OzaBoost_HoeffdingTree(1)(12.0/1.0) | | meta_RandomTreeDepth3AUC_K=0 >= 0.8523 | | | meta_J48.00001.ErrRate < 16.3: moa.NaiveBayes(1)(4.0/0.0) | | | meta_J48.00001.ErrRate >= 16.3: moa.LeveragingBag_HoeffdingTree(1)(2.0/0.0) meta_DecisionStumpKappa >= 0.52537 | openml_task_id < 1116.5: moa.OzaBag_HoeffdingTree(1)(13.0/0.0) | openml_task_id >= 1116.5: moa.LeveragingBag_HoeffdingTree(1)(3.0/0.0) Size of the Tree: 21 Number of Leaf Nodes: 11 Weight: 1.76 Best-First Decision Tree meta_NumNominalAtts < 50.0 | meta_MeanNominalAttDistinctValues < 5.11869 | | meta_REPTreeDepth3ErrRate < 15.3: moa.LeveragingBag_HoeffdingTree(1)(12.0/0.0) | | meta_REPTreeDepth3ErrRate >= 15.3 | | | meta_DecisionStumpKappa < 0.53393 | | | | meta_J48.001.AUC < 0.81295 | | | | | meta_REPTreeDepth2ErrRate < 69.05 | | | | | | meta_ClassCount < 6.5 | | | | | | | openml_task_id < 193.0: moa.SPegasos(1)(3.0/0.0) | | | | | | | openml_task_id >= 193.0: moa.LeveragingBag_kNN(1)(3.0/2.0) | | | | | | meta_ClassCount >= 6.5: moa.OzaBoost_HoeffdingTree(1)(5.0/0.0) | | | | | meta_REPTreeDepth2ErrRate >= 69.05: moa.OzaBag_HoeffdingTree(1)(5.0/0.0) | | | | meta_J48.001.AUC >= 0.81295 | | | | | meta_J48.00001.ErrRate < 16.7: moa.NaiveBayes(1)(2.0/0.0) | | | | | meta_J48.00001.ErrRate >= 16.7: moa.LeveragingBag_HoeffdingTree(1)(10.0/0.0) | | | meta_DecisionStumpKappa >= 0.53393: moa.OzaBag_HoeffdingTree(1)(6.0/0.0) | meta_MeanNominalAttDistinctValues >= 5.11869: moa.OzaBag_HoeffdingTree(1)(12.0/0.0) meta_NumNominalAtts >= 50.0: moa.OzaBoost_HoeffdingTree(1)(11.0/0.0) Size of the Tree: 19 Number of Leaf Nodes: 10 Weight: 1.68 Best-First Decision Tree meta_REPTreeDepth2Kappa < 0.17703 | meta_DecisionStumpKappa < 0.12653: moa.LeveragingBag_HoeffdingTree(1)(2.0/0.0) | meta_DecisionStumpKappa >= 0.12653: moa.LeveragingBag_kNN(1)(12.0/0.0) meta_REPTreeDepth2Kappa >= 0.17703 | meta_DecisionStumpAUC < 0.64844 | | meta_NBErrRate < 15.35: moa.SPegasos(1)(2.0/0.0) | | meta_NBErrRate >= 15.35: moa.LeveragingBag_HoeffdingTree(1)(20.0/0.0) | meta_DecisionStumpAUC >= 0.64844 | | meta_NumNominalAtts < 21.5 | | | meta_MeanMeansOfNumericAtts < 826.19659 | | | | meta_HoeffdingDDM.warnings < 3.0: moa.LeveragingBag_HoeffdingTree(1)(10.0/1.0) | | | | meta_HoeffdingDDM.warnings >= 3.0: moa.OzaBag_HoeffdingTree(1)(1.0/1.0) | | | meta_MeanMeansOfNumericAtts >= 826.19659: moa.OzaBag_HoeffdingTree(1)(6.0/0.0) | | meta_NumNominalAtts >= 21.5: moa.OzaBoost_HoeffdingTree(1)(15.0/1.0) Size of the Tree: 15 Number of Leaf Nodes: 8 Weight: 1.27 Best-First Decision Tree meta_REPTreeDepth3ErrRate < 18.35 | meta_DecisionStumpKappa < 0.63063: moa.LeveragingBag_HoeffdingTree(1)(21.0/0.0) | meta_DecisionStumpKappa >= 0.63063: moa.OzaBag_HoeffdingTree(1)(2.0/0.0) meta_REPTreeDepth3ErrRate >= 18.35 | meta_NoiseToSignalRatio < 11.42 | | meta_PercentageOfNominalAtts < 0.94202 | | | meta_NBAUC < 0.77664: moa.LeveragingBag_kNN(1)(4.0/0.0) | | | meta_NBAUC >= 0.77664 | | | | meta_ClassEntropy < -0.10926: moa.OzaBoost_HoeffdingTree(1)(4.0/1.0) | | | | meta_ClassEntropy >= -0.10926 | | | | | meta_J48.00001.AUC < 0.8078: moa.OzaBag_HoeffdingTree(1)(14.0/0.0) | | | | | meta_J48.00001.AUC >= 0.8078: moa.OzaBoost_HoeffdingTree(1)(2.0/1.0) | | meta_PercentageOfNominalAtts >= 0.94202 | | | meta_MeanMutualInformation < 0.21566: moa.LeveragingBag_HoeffdingTree(1)(5.0/0.0) | | | meta_MeanMutualInformation >= 0.21566: moa.NaiveBayes(1)(4.0/1.0) | meta_NoiseToSignalRatio >= 11.42: moa.OzaBoost_HoeffdingTree(1)(12.0/0.0) Size of the Tree: 17 Number of Leaf Nodes: 9 Weight: 1.43 Best-First Decision Tree meta_MeanNominalAttDistinctValues < 2.35938 | meta_REPTreeDepth3Kappa < 0.35935: moa.SPegasos(1)(2.0/3.0) | meta_REPTreeDepth3Kappa >= 0.35935: moa.LeveragingBag_HoeffdingTree(1)(21.0/1.0) meta_MeanNominalAttDistinctValues >= 2.35938 | meta_NumNominalAtts < 23.5 | | meta_MeanAttributeEntropy < 1.06281: moa.OzaBag_HoeffdingTree(1)(8.0/2.0) | | meta_MeanAttributeEntropy >= 1.06281 | | | meta_StdvNominalAttDistinctValues < 4.32938: moa.LeveragingBag_HoeffdingTree(1)(10.0/0.0) | | | meta_StdvNominalAttDistinctValues >= 4.32938: moa.OzaBag_HoeffdingTree(1)(4.0/0.0) | meta_NumNominalAtts >= 23.5 | | meta_NBKappa < 0.69647: moa.OzaBoost_HoeffdingTree(1)(13.0/0.0) | | meta_NBKappa >= 0.69647 | | | openml_task_id < 1172.5 | | | | meta_NoiseToSignalRatio < 3.91677: moa.LeveragingBag_HoeffdingTree(1)(2.0/0.0) | | | | meta_NoiseToSignalRatio >= 3.91677: moa.OzaBoost_HoeffdingTree(1)(2.0/1.0) | | | openml_task_id >= 1172.5: moa.NaiveBayes(1)(2.0/0.0) Size of the Tree: 17 Number of Leaf Nodes: 9 Weight: 1.19 Best-First Decision Tree meta_DecisionStumpAUC < 0.64957 | meta_REPTreeDepth1AUC < 0.59105: moa.LeveragingBag_HoeffdingTree(1)(12.0/0.0) | meta_REPTreeDepth1AUC >= 0.59105 | | meta_NBAUC < 0.77459: moa.LeveragingBag_kNN(1)(7.0/0.0) | | meta_NBAUC >= 0.77459 | | | meta_ClassCount < 4.0: moa.LeveragingBag_HoeffdingTree(1)(5.0/0.0) | | | meta_ClassCount >= 4.0 | | | | meta_REPTreeDepth2ErrRate < 36.9: moa.SPegasos(1)(4.0/0.0) | | | | meta_REPTreeDepth2ErrRate >= 36.9: moa.OzaBag_HoeffdingTree(1)(2.0/1.0) meta_DecisionStumpAUC >= 0.64957 | meta_EquivalentNumberOfAtts < -4.80531: moa.OzaBoost_HoeffdingTree(1)(7.0/0.0) | meta_EquivalentNumberOfAtts >= -4.80531 | | meta_PercentageOfBinaryAtts < 0.04762: moa.LeveragingBag_HoeffdingTree(1)(9.0/8.0) | | meta_PercentageOfBinaryAtts >= 0.04762 | | | meta_NumNominalAtts < 23.5: moa.OzaBag_HoeffdingTree(1)(12.0/0.0) | | | meta_NumNominalAtts >= 23.5 | | | | meta_MeanMutualInformation < 0.24048: moa.OzaBoost_HoeffdingTree(1)(2.0/0.0) | | | | meta_MeanMutualInformation >= 0.24048: moa.LeveragingBag_HoeffdingTree(1)(2.0/0.0) Size of the Tree: 19 Number of Leaf Nodes: 10 Weight: 0.92 Best-First Decision Tree meta_REPTreeDepth2ErrRate < 69.25 | meta_NBErrRate < 4.1: moa.NaiveBayes(1)(6.0/0.0) | meta_NBErrRate >= 4.1 | | meta_REPTreeDepth3AUC < 0.73632 | | | meta_REPTreeDepth2AUC < 0.62122: moa.LeveragingBag_HoeffdingTree(1)(5.0/0.0) | | | meta_REPTreeDepth2AUC >= 0.62122 | | | | meta_REPTreeDepth2ErrRate < 36.95 | | | | | openml_task_id < 149.5: moa.OzaBag_HoeffdingTree(1)(3.0/0.0) | | | | | openml_task_id >= 149.5: moa.SPegasos(1)(2.0/1.0) | | | | meta_REPTreeDepth2ErrRate >= 36.95: moa.LeveragingBag_kNN(1)(9.0/0.0) | | meta_REPTreeDepth3AUC >= 0.73632 | | | meta_NBErrRate < 27.2: moa.LeveragingBag_HoeffdingTree(1)(22.0/4.0) | | | meta_NBErrRate >= 27.2 | | | | meta_NBErrRate < 38.65: moa.OzaBoost_HoeffdingTree(1)(6.0/0.0) | | | | meta_NBErrRate >= 38.65: moa.LeveragingBag_HoeffdingTree(1)(2.0/0.0) meta_REPTreeDepth2ErrRate >= 69.25: moa.OzaBag_HoeffdingTree(1)(11.0/0.0) Size of the Tree: 17 Number of Leaf Nodes: 9 Weight: 0.93 Best-First Decision Tree meta_Dimensionality < 0.0445 | meta_NBErrRate < 4.1: moa.NaiveBayes(1)(5.0/0.0) | meta_NBErrRate >= 4.1 | | meta_J48.00001.AUC < 0.8239 | | | meta_REPTreeDepth2AUC < 0.64073: moa.LeveragingBag_HoeffdingTree(1)(11.0/1.0) | | | meta_REPTreeDepth2AUC >= 0.64073 | | | | meta_NumNominalAtts < 19.0 | | | | | meta_EquivalentNumberOfAtts < 4.97046 | | | | | | openml_task_id < 192.0: moa.SPegasos(1)(2.0/0.0) | | | | | | openml_task_id >= 192.0: moa.LeveragingBag_kNN(1)(1.0/1.0) | | | | | meta_EquivalentNumberOfAtts >= 4.97046: moa.OzaBag_HoeffdingTree(1)(5.0/0.0) | | | | meta_NumNominalAtts >= 19.0: moa.OzaBoost_HoeffdingTree(1)(7.0/0.0) | | meta_J48.00001.AUC >= 0.8239: moa.LeveragingBag_HoeffdingTree(1)(14.0/0.0) meta_Dimensionality >= 0.0445 | meta_REPTreeDepth2ErrRate < 68.6: moa.OzaBoost_HoeffdingTree(1)(17.0/1.0) | meta_REPTreeDepth2ErrRate >= 68.6: moa.OzaBag_HoeffdingTree(1)(5.0/1.0) Size of the Tree: 17 Number of Leaf Nodes: 9 Weight: 1.34 Best-First Decision Tree meta_ClassEntropy < 2.11451 | meta_NumNominalAtts < 42.0 | | meta_REPTreeDepth3AUC < 0.85529: moa.LeveragingBag_HoeffdingTree(1)(31.0/0.0) | | meta_REPTreeDepth3AUC >= 0.85529 | | | meta_DecisionStumpKappa < 0.5658: moa.OzaBoost_HoeffdingTree(1)(3.0/0.0) | | | meta_DecisionStumpKappa >= 0.5658: moa.LeveragingBag_HoeffdingTree(1)(1.0/1.0) | meta_NumNominalAtts >= 42.0 | | meta_REPTreeDepth2ErrRate < 37.25: moa.OzaBoost_HoeffdingTree(1)(4.0/1.0) | | meta_REPTreeDepth2ErrRate >= 37.25: moa.LeveragingBag_kNN(1)(5.0/0.0) meta_ClassEntropy >= 2.11451 | meta_REPTreeDepth2Kappa < 0.23338 | | meta_J48.00001.ErrRate < 38.1: moa.LeveragingBag_kNN(1)(5.0/0.0) | | meta_J48.00001.ErrRate >= 38.1: moa.OzaBag_HoeffdingTree(1)(7.0/0.0) | meta_REPTreeDepth2Kappa >= 0.23338 | | meta_J48.00001.ErrRate < 34.65: moa.NaiveBayes(1)(3.0/1.0) | | meta_J48.00001.ErrRate >= 34.65: moa.OzaBoost_HoeffdingTree(1)(9.0/0.0) Size of the Tree: 17 Number of Leaf Nodes: 9 Weight: 1.22 Best-First Decision Tree meta_NaiveBayesAdwin.changes < 0.5 | meta_DecisionStumpAUC < 0.72812 | | meta_MeanKurtosisOfNumericAtts < -0.01144: moa.SPegasos(1)(2.0/1.0) | | meta_MeanKurtosisOfNumericAtts >= -0.01144: moa.LeveragingBag_HoeffdingTree(1)(18.0/2.0) | meta_DecisionStumpAUC >= 0.72812: moa.OzaBag_HoeffdingTree(1)(11.0/1.0) meta_NaiveBayesAdwin.changes >= 0.5 | meta_REPTreeDepth3AUC < 0.72539 | | meta_MeanMutualInformation < 0.00412: moa.LeveragingBag_HoeffdingTree(1)(3.0/1.0) | | meta_MeanMutualInformation >= 0.00412: moa.LeveragingBag_kNN(1)(5.0/0.0) | meta_REPTreeDepth3AUC >= 0.72539 | | meta_J48.00001.AUC < 0.81698: moa.OzaBoost_HoeffdingTree(1)(22.0/0.0) | | meta_J48.00001.AUC >= 0.81698 | | | meta_REPTreeDepth2ErrRate < 43.5: moa.NaiveBayes(1)(2.0/0.0) | | | meta_REPTreeDepth2ErrRate >= 43.5: moa.LeveragingBag_HoeffdingTree(1)(2.0/1.0) Size of the Tree: 15 Number of Leaf Nodes: 8 Weight: 1.31 Best-First Decision Tree meta_MeanNominalAttDistinctValues < 5.11111 | meta_REPTreeDepth3ErrRate < 57.55 | | meta_NaiveBayesAdwin.changes < 0.5 | | | meta_PositivePercentage < 0.465: moa.LeveragingBag_HoeffdingTree(1)(23.0/1.0) | | | meta_PositivePercentage >= 0.465 | | | | openml_task_id < 147.0: moa.LeveragingBag_HoeffdingTree(1)(2.0/0.0) | | | | openml_task_id >= 147.0: moa.OzaBoost_HoeffdingTree(1)(4.0/0.0) | | meta_NaiveBayesAdwin.changes >= 0.5 | | | meta_NBErrRate < 4.9: moa.NaiveBayes(1)(3.0/0.0) | | | meta_NBErrRate >= 4.9 | | | | meta_NBAUC < 0.77488: moa.LeveragingBag_kNN(1)(2.0/1.0) | | | | meta_NBAUC >= 0.77488: moa.OzaBoost_HoeffdingTree(1)(11.0/1.0) | meta_REPTreeDepth3ErrRate >= 57.55 | | openml_task_id < 1164.0: moa.LeveragingBag_kNN(1)(8.0/0.0) | | openml_task_id >= 1164.0: moa.OzaBag_HoeffdingTree(1)(4.0/0.0) meta_MeanNominalAttDistinctValues >= 5.11111: moa.OzaBag_HoeffdingTree(1)(11.0/0.0) Size of the Tree: 17 Number of Leaf Nodes: 9 Weight: 1.63 Best-First Decision Tree meta_NBErrRate < 25.6 | meta_RandomTreeDepth1AUC_K=0 < 0.7532 | | meta_REPTreeDepth2AUC < 0.82179: moa.LeveragingBag_HoeffdingTree(1)(28.0/3.0) | | meta_REPTreeDepth2AUC >= 0.82179: moa.OzaBoost_HoeffdingTree(1)(3.0/0.0) | meta_RandomTreeDepth1AUC_K=0 >= 0.7532 | | meta_NBErrRate < 12.7: moa.LeveragingBag_HoeffdingTree(1)(4.0/1.0) | | meta_NBErrRate >= 12.7: moa.OzaBag_HoeffdingTree(1)(7.0/0.0) meta_NBErrRate >= 25.6 | meta_J48.00001.AUC < 0.80066 | | meta_PositivePercentage < 0.014: moa.OzaBoost_HoeffdingTree(1)(8.0/1.0) | | meta_PositivePercentage >= 0.014: moa.OzaBag_HoeffdingTree(1)(8.0/0.0) | meta_J48.00001.AUC >= 0.80066: moa.LeveragingBag_kNN(1)(8.0/0.0) Size of the Tree: 13 Number of Leaf Nodes: 7 Weight: 0.98 Number of performed Iterations: 40