AttributeSelectedClassifier: === Attribute Selection on all input data === Search Method: Best first. Start set: no attributes Search direction: forward Stale search after 5 node expansions Total number of subsets evaluated: 68 Merit of best subset found: 0.196 Attribute Subset Evaluator (supervised, Class (nominal): 13 X-class_flares_production_by_this_region): CFS Subset Evaluator Treating missing values as a separate value Including locally predictive attributes Selected attributes: 9,12 : 2 Area M-class_flares_production_by_this_region Header of reduced data: @relation 'solar-flare-weka.filters.unsupervised.attribute.Remove-V-R9,12-13' @attribute Area {1,2} @attribute M-class_flares_production_by_this_region {0,1,2,3,4,5} @attribute X-class_flares_production_by_this_region {0,1,2} @data Classifier Model Vote combines the probability distributions of these base learners: weka.classifiers.trees.LMT -C -P -I -1 -M 11 -W 0.0 weka.classifiers.bayes.NaiveBayes -K weka.classifiers.bayes.NaiveBayes weka.classifiers.functions.SMO -C 0.8216303618832919 -L 0.001 -P 1.0E-12 -N 2 -V -1 -W 1 -K "weka.classifiers.functions.supportVector.PolyKernel -E 3.918862931408366 -C 250007" -calibrator "weka.classifiers.functions.Logistic -R 1.0E-8 -M -1 -num-decimal-places 4" weka.classifiers.trees.DecisionStump using the 'Minimum' combination rule All the models: Logistic model tree ------------------ : LM_1:43/43 (1066) Number of Leaves : 1 Size of the Tree : 1 LM_1: Class 0 : 4.43 + [Area=2] * -2.59 + [M-class_flares_production_by_this_region=0] * 0.03 + [M-class_flares_production_by_this_region=1] * -0.12 + [M-class_flares_production_by_this_region=2] * 6.04 + [M-class_flares_production_by_this_region=3] * -1.98 + [M-class_flares_production_by_this_region=4] * 3.33 + [M-class_flares_production_by_this_region=5] * -8.38 Class 1 : -2.58 + [Area=2] * 1.61 + [M-class_flares_production_by_this_region=1] * 1.44 + [M-class_flares_production_by_this_region=2] * -4.81 + [M-class_flares_production_by_this_region=3] * -8.03 + [M-class_flares_production_by_this_region=4] * -3.34 + [M-class_flares_production_by_this_region=5] * 8.32 Class 2 : -29.33 + [Area=2] * 17.83 + [M-class_flares_production_by_this_region=3] * 21.39 Naive Bayes Classifier Class Attribute 0 1 2 (0.99) (0) (0) ================================================================ Area 1 1039.0 2.0 1.0 2 24.0 4.0 2.0 [total] 1063.0 6.0 3.0 M-class_flares_production_by_this_region 0 1029.0 3.0 1.0 1 29.0 2.0 1.0 2 4.0 1.0 1.0 3 2.0 1.0 2.0 4 2.0 1.0 1.0 5 1.0 2.0 1.0 [total] 1067.0 10.0 7.0 Naive Bayes Classifier Class Attribute 0 1 2 (0.99) (0) (0) ================================================================ Area 1 1039.0 2.0 1.0 2 24.0 4.0 2.0 [total] 1063.0 6.0 3.0 M-class_flares_production_by_this_region 0 1029.0 3.0 1.0 1 29.0 2.0 1.0 2 4.0 1.0 1.0 3 2.0 1.0 2.0 4 2.0 1.0 1.0 5 1.0 2.0 1.0 [total] 1067.0 10.0 7.0 SMO Kernel used: Poly Kernel: K(x,y) = ^3.918862931408366 Classifier for classes: 0, 1 BinarySMO - 0.7976 * <0 1 0 0 0 0 0 > * X] + 0.1321 * <1 0 0 0 0 0 1 > * X] - 0.631 * <1 1 0 0 0 0 0 > * X] - 0.0266 * <0 0 0 0 0 1 0 > * X] - 0.003 * <0 1 0 0 0 0 0 > * X] - 0.0069 * <0 1 0 0 0 0 0 > * X] - 0.0726 * <1 1 0 0 0 0 0 > * X] - 0.0048 * <1 0 1 0 0 0 0 > * X] - 0.2207 * <1 0 1 0 0 0 0 > * X] - 0.0005 * <1 1 0 0 0 0 0 > * X] + 0.8216 * <1 0 1 0 0 0 0 > * X] - 0.0001 * <1 1 0 0 0 0 0 > * X] - 0.0002 * <1 1 0 0 0 0 0 > * X] - 0.0488 * <1 1 0 0 0 0 0 > * X] - 0.0169 * <0 0 0 1 0 0 0 > * X] - 0.0005 * <1 1 0 0 0 0 0 > * X] - 0.0002 * <1 1 0 0 0 0 0 > * X] - 0.0002 * <0 0 1 0 0 0 0 > * X] - 0.0002 * <0 0 1 0 0 0 0 > * X] - 0.0002 * <0 0 1 0 0 0 0 > * X] - 0.0029 * <0 0 1 0 0 0 0 > * X] - 0.0008 * <0 0 0 1 0 0 0 > * X] - 0.0002 * <1 1 0 0 0 0 0 > * X] + 0.8216 * <1 1 0 0 0 0 0 > * X] - 0.0324 * <0 1 0 0 0 0 0 > * X] - 0.6043 * <1 0 1 0 0 0 0 > * X] + 0.8216 * <0 1 0 0 0 0 0 > * X] - 0.0191 * <1 1 0 0 0 0 0 > * X] - 0.0266 * <0 0 0 0 1 0 0 > * X] - 0.0002 * <0 0 1 0 0 0 0 > * X] - 0.0002 * <0 0 1 0 0 0 0 > * X] - 0.0566 * <1 1 0 0 0 0 0 > * X] - 0.0141 * <0 0 1 0 0 0 0 > * X] - 0.0003 * <0 0 1 0 0 0 0 > * X] - 0.0082 * <1 0 0 1 0 0 0 > * X] - 0.9736 Number of support vectors: 35 Number of kernel evaluations: 45544 (48.794% cached) Classifier for classes: 0, 2 BinarySMO - 0.0071 * <1 1 0 0 0 0 0 > * X] - 0.0072 * <1 0 0 1 0 0 0 > * X] - 0.0012 * <1 0 1 0 0 0 0 > * X] - 0.006 * <1 0 1 0 0 0 0 > * X] + 0.143 * <1 0 0 0 1 0 0 > * X] - 0.1216 * <0 0 0 0 1 0 0 > * X] - 1.0206 Number of support vectors: 6 Number of kernel evaluations: 16334 (23.192% cached) Classifier for classes: 1, 2 BinarySMO - 0.0072 * <1 1 0 0 0 0 0 > * X] + 0.1278 * <1 0 0 0 1 0 0 > * X] - 0.0138 * <1 0 1 0 0 0 0 > * X] - 0.093 * <0 1 0 0 0 0 0 > * X] - 0.0138 * <1 0 0 0 0 0 1 > * X] - 0.8989 Number of support vectors: 5 Number of kernel evaluations: 15 (91.525% cached) Decision Stump Classifications Area = 1 : 0 Area != 1 : 0 Area is missing : 0 Class distributions Area = 1 0 1 2 0.9990375360923965 9.624639076034649E-4 0.0 Area != 1 0 1 2 0.8518518518518519 0.1111111111111111 0.037037037037037035 Area is missing 0 1 2 0.9953095684803002 0.00375234521575985 9.380863039399625E-4