AdaBoostM1: Base classifiers and their weights: REPTree ============ meta_NumNominalAtts < 30.5 | meta_MaxNominalAttDistinctValues < 12 | | meta_REPTreeDepth3ErrRate < 57.55 : moa.LeveragingBag_HoeffdingTree(1) (24/2) [12/4] | | meta_REPTreeDepth3ErrRate >= 57.55 : moa.OzaBag_HoeffdingTree(1) (3/1) [2/1] | meta_MaxNominalAttDistinctValues >= 12 : moa.OzaBag_HoeffdingTree(1) (5/0) [4/2] meta_NumNominalAtts >= 30.5 : moa.LeveragingBag_HoeffdingTree(1) (15/9) [6/1] Size of the tree : 7 Weight: 0.94 REPTree ============ meta_ClassCount < 8.5 | meta_ClassEntropy < 2.11 : moa.LeveragingBag_HoeffdingTree(1) (25.51/7.41) [15.14/7.8] | meta_ClassEntropy >= 2.11 | | meta_MeanSkewnessOfNumericAtts < -0.04 : moa.LeveragingBag_kNN(1) (3.55/0) [1.78/0] | | meta_MeanSkewnessOfNumericAtts >= -0.04 : moa.NaiveBayes(1) (3.86/2.09) [3.55/1.78] meta_ClassCount >= 8.5 | meta_REPTreeDepth2ErrRate < 69.05 : moa.OzaBoost_HoeffdingTree(1) (8.88/0) [5.26/3.48] | meta_REPTreeDepth2ErrRate >= 69.05 : moa.OzaBag_HoeffdingTree(1) (2.78/0) [0.7/0] Size of the tree : 9 Weight: 0.76 REPTree ============ meta_NumNominalAtts < 24.5 | meta_StdvNominalAttDistinctValues < 0.63 | | meta_ClassEntropy < -0.18 : moa.SPegasos(1) (2.79/0) [4.09/1.3] | | meta_ClassEntropy >= -0.18 : moa.LeveragingBag_HoeffdingTree(1) (13.1/2.6) [7.78/4.13] | meta_StdvNominalAttDistinctValues >= 0.63 | | meta_MeanAttributeEntropy < 1.03 : moa.OzaBag_HoeffdingTree(1) (6.08/0) [0.51/0.51] | | meta_MeanAttributeEntropy >= 1.03 | | | meta_MeanAttributeEntropy < 1.43 : moa.LeveragingBag_HoeffdingTree(1) (2.83/0) [1.02/0] | | | meta_MeanAttributeEntropy >= 1.43 : moa.OzaBag_HoeffdingTree(1) (2.12/0) [1.1/0] meta_NumNominalAtts >= 24.5 | meta_PercentageOfBinaryAtts < 0.76 | | meta_REPTreeDepth1Kappa < 0.11 : moa.LeveragingBag_HoeffdingTree(1) (3.65/0) [0.51/0] | | meta_REPTreeDepth1Kappa >= 0.11 | | | meta_DecisionStumpAUC < 0.73 : moa.OzaBoost_HoeffdingTree(1) (15.59/0.51) [1.81/0.51] | | | meta_DecisionStumpAUC >= 0.73 : moa.NaiveBayes(1) (2.4/1.1) [1.81/0.51] | meta_PercentageOfBinaryAtts >= 0.76 : moa.LeveragingBag_kNN(1) (2.79/0) [1.02/1.02] Size of the tree : 17 Weight: 1.57 REPTree ============ meta_MeanSkewnessOfNumericAtts < -0.01 : moa.LeveragingBag_kNN(1) (9.57/1.99) [6.44/2.66] meta_MeanSkewnessOfNumericAtts >= -0.01 | meta_J48.00001.AUC < 0.84 : moa.OzaBoost_HoeffdingTree(1) (23.85/14.33) [17.3/10.14] | meta_J48.00001.AUC >= 0.84 : moa.LeveragingBag_HoeffdingTree(1) (10.29/2.23) [3.55/0.79] Size of the tree : 5 Weight: 0.19 REPTree ============ meta_REPTreeDepth3Kappa < 0.29 | meta_J48.0001.kappa < 0.35 | | meta_REPTreeDepth2ErrRate < 65 : moa.LeveragingBag_HoeffdingTree(1) (2.04/0) [2.71/0.73] | | meta_REPTreeDepth2ErrRate >= 65 : moa.OzaBag_HoeffdingTree(1) (3.96/0) [0/0] | meta_J48.0001.kappa >= 0.35 : moa.LeveragingBag_kNN(1) (8.78/0) [4.53/1.07] meta_REPTreeDepth3Kappa >= 0.29 | meta_REPTreeDepth2Kappa < 0.46 | | meta_REPTreeDepth3AUC < 0.7 : moa.SPegasos(1) (2.59/0.73) [1.86/0] | | meta_REPTreeDepth3AUC >= 0.7 : moa.OzaBoost_HoeffdingTree(1) (18.07/4.94) [5.09/3.66] | meta_REPTreeDepth2Kappa >= 0.46 : moa.LeveragingBag_HoeffdingTree(1) (12.47/2.33) [8.89/4.27] Size of the tree : 11 Weight: 1.1 REPTree ============ meta_REPTreeDepth3Kappa < 0.36 | meta_REPTreeDepth2AUC < 0.64 | | meta_DecisionStumpKappa < 0.13 : moa.LeveragingBag_HoeffdingTree(1) (3.24/0.23) [0.68/0] | | meta_DecisionStumpKappa >= 0.13 : moa.LeveragingBag_kNN(1) (5.02/1.47) [3.01/0.7] | meta_REPTreeDepth2AUC >= 0.64 : moa.OzaBag_HoeffdingTree(1) (8.4/0) [5.48/5.25] meta_REPTreeDepth3Kappa >= 0.36 | meta_DecisionStumpAUC < 0.75 : moa.LeveragingBag_HoeffdingTree(1) (25.76/10.71) [6.7/2.04] | meta_DecisionStumpAUC >= 0.75 : moa.OzaBag_HoeffdingTree(1) (8.95/3.76) [3.76/2.3] Size of the tree : 9 Weight: 0.52 Number of performed Iterations: 6