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OpenML
Task
Supervised Data Stream Classification on BNG(satimage)

Supervised Data Stream Classification on BNG(satimage)

Task 6706 Supervised Data Stream Classification BNG(satimage) 292 runs submitted
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  • ecmlpkdd2015 streamensembles streams study_11 study_16
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Jason 10 years ago
ran flow moa.LeveragingBag_Perceptron(1) on task Supervised Data Stream Classification on data set BNG(satimage)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9439, f_measure: 0.7856, kappa: 0.7564, kb_relative_information_score: 779131.2897, mean_absolute_error: 0.0732, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7838, predictive_accuracy: 0.8052, prior_entropy: 2.585, recall: 0.8052, relative_absolute_error: 0.2635, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2311, root_relative_squared_error: 0.6202,
Jason 10 years ago
ran flow moa.AccuracyWeightedEnsemble_W ... Classifier_LinearRegression(1) on task Supervised Data Stream Classification on data set BNG(satimage)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0918, kb_relative_information_score: 160893.0205, mean_absolute_error: 0.2539, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.0568, predictive_accuracy: 0.2384, prior_entropy: 2.585, recall: 0.2384, relative_absolute_error: 0.9139, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.5039, root_relative_squared_error: 1.352,
Jason 10 years ago
ran flow moa.SGD(1) on task Supervised Data Stream Classification on data set BNG(satimage)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6192, f_measure: 0.2479, kappa: 0.214, kb_relative_information_score: 244957.5536, mean_absolute_error: 0.2333, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.2372, predictive_accuracy: 0.3241, prior_entropy: 2.585, recall: 0.3241, relative_absolute_error: 0.8399, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.4614, root_relative_squared_error: 1.2381,
Jason 10 years ago
ran flow moa.AccuracyWeightedEnsemble_WEKAClassifier_LMT(1) on task Supervised Data Stream Classification on data set BNG(satimage)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.8459, kappa: 0.8114, kb_relative_information_score: 806200.9427, mean_absolute_error: 0.0728, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.8454, predictive_accuracy: 0.8477, prior_entropy: 2.585, recall: 0.8477, relative_absolute_error: 0.2619, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.188, root_relative_squared_error: 0.5044,
Jason 10 years ago
ran flow moa.AccuracyWeightedEnsemble_WEKAClassifier_JRip(1) on task Supervised Data Stream Classification on data set BNG(satimage)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, f_measure: 0.8232, kappa: 0.7887, kb_relative_information_score: 759890.1989, mean_absolute_error: 0.0909, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.8241, predictive_accuracy: 0.8304, prior_entropy: 2.585, recall: 0.8304, relative_absolute_error: 0.3271, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2023, root_relative_squared_error: 0.5428,
Jason 10 years ago
ran flow moa.LeveragingBag_NaiveBayes(1) on task Supervised Data Stream Classification on data set BNG(satimage)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.943, f_measure: 0.792, kappa: 0.7352, kb_relative_information_score: 765019.7622, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.8101, predictive_accuracy: 0.7833, prior_entropy: 2.585, recall: 0.7833, relative_absolute_error: 0.2632, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2569, root_relative_squared_error: 0.6893,
Jason 10 years ago
ran flow moa.AccuracyWeightedEnsemble_WEKAClassifier_Logistic(1) on task Supervised Data Stream Classification on data set BNG(satimage)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, f_measure: 0.831, kappa: 0.797, kb_relative_information_score: 798217.6856, mean_absolute_error: 0.0757, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.8286, predictive_accuracy: 0.8364, prior_entropy: 2.585, recall: 0.8364, relative_absolute_error: 0.2726, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1924, root_relative_squared_error: 0.5161,
Jason 10 years ago
ran flow moa.LeveragingBag_DecisionStump(1) on task Supervised Data Stream Classification on data set BNG(satimage)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6963, f_measure: 0.2615, kappa: 0.2412, kb_relative_information_score: 255252.662, mean_absolute_error: 0.2405, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.2822, predictive_accuracy: 0.414, prior_entropy: 2.585, recall: 0.414, relative_absolute_error: 0.8659, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3452, root_relative_squared_error: 0.9263,
Jason 10 years ago
ran flow moa.LeveragingBag_SGD(1) on task Supervised Data Stream Classification on data set BNG(satimage)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6208, f_measure: 0.2498, kappa: 0.2173, kb_relative_information_score: 258151.9567, mean_absolute_error: 0.2244, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.2402, predictive_accuracy: 0.3267, prior_entropy: 2.585, recall: 0.3267, relative_absolute_error: 0.808, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.4737, root_relative_squared_error: 1.2712,
Jason 10 years ago
ran flow moa.LeveragingBag_SPegasos(1) on task Supervised Data Stream Classification on data set BNG(satimage)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6221, f_measure: 0.2487, kappa: 0.2163, kb_relative_information_score: 257248.2603, mean_absolute_error: 0.2251, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.2391, predictive_accuracy: 0.3258, prior_entropy: 2.585, recall: 0.3258, relative_absolute_error: 0.8104, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.4729, root_relative_squared_error: 1.2689,
Jason 10 years ago
ran flow moa.AccuracyWeightedEnsemble_WEKAClassifier_J48(1) on task Supervised Data Stream Classification on data set BNG(satimage)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9671, f_measure: 0.8204, kappa: 0.7837, kb_relative_information_score: 752294.796, mean_absolute_error: 0.093, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.8192, predictive_accuracy: 0.826, prior_entropy: 2.585, recall: 0.826, relative_absolute_error: 0.335, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2052, root_relative_squared_error: 0.5506,
Jason 10 years ago
ran flow moa.AccuracyWeightedEnsemble_W ... KAClassifier_SMO_PolyKernel(1) on task Supervised Data Stream Classification on data set BNG(satimage)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9615, f_measure: 0.8372, kappa: 0.8017, kb_relative_information_score: 350998.6829, mean_absolute_error: 0.2285, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.8358, predictive_accuracy: 0.8399, prior_entropy: 2.585, recall: 0.8399, relative_absolute_error: 0.8224, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3179, root_relative_squared_error: 0.8531,
Jason 10 years ago
ran flow moa.AccuracyWeightedEnsemble_WEKAClassifier(1) on task Supervised Data Stream Classification on data set BNG(satimage)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7196, f_measure: 0.2843, kappa: 0.251, kb_relative_information_score: 276022.64, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.286, predictive_accuracy: 0.4216, prior_entropy: 2.585, recall: 0.4216, relative_absolute_error: 0.844, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3423, root_relative_squared_error: 0.9185,
Jason 10 years ago
ran flow moa.AccuracyWeightedEnsemble_WEKAClassifier_OneR(1) on task Supervised Data Stream Classification on data set BNG(satimage)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7985, f_measure: 0.4587, kappa: 0.3604, kb_relative_information_score: 442490.9782, mean_absolute_error: 0.1888, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.4555, predictive_accuracy: 0.4889, prior_entropy: 2.585, recall: 0.4889, relative_absolute_error: 0.6795, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3295, root_relative_squared_error: 0.8843,
Jason 10 years ago
ran flow moa.AccuracyWeightedEnsemble_WEKAClassifier_REPTree(1) on task Supervised Data Stream Classification on data set BNG(satimage)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9699, f_measure: 0.8124, kappa: 0.7753, kb_relative_information_score: 738279.9324, mean_absolute_error: 0.099, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.8131, predictive_accuracy: 0.8196, prior_entropy: 2.585, recall: 0.8196, relative_absolute_error: 0.3566, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2068, root_relative_squared_error: 0.555,
Jason 10 years ago
ran flow moa.Perceptron(1) on task Supervised Data Stream Classification on data set BNG(satimage)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9259, f_measure: 0.7849, kappa: 0.7547, kb_relative_information_score: 780871.8603, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7827, predictive_accuracy: 0.8038, prior_entropy: 2.585, recall: 0.8038, relative_absolute_error: 0.2481, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2482, root_relative_squared_error: 0.666,
Jason 10 years ago
ran flow moa.WEKAClassifier_JRip(1) on task Supervised Data Stream Classification on data set BNG(satimage)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.879, f_measure: 0.7193, kappa: 0.6528, kb_relative_information_score: 645235.054, mean_absolute_error: 0.1174, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7294, predictive_accuracy: 0.7209, prior_entropy: 2.585, recall: 0.7209, relative_absolute_error: 0.4227, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2746, root_relative_squared_error: 0.7368,
Jason 10 years ago
ran flow moa.ADACC_NaiveBayes(1) on task Supervised Data Stream Classification on data set BNG(satimage)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9434, f_measure: 0.792, kappa: 0.7352, kb_relative_information_score: 764985.5394, mean_absolute_error: 0.0732, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.8101, predictive_accuracy: 0.7832, prior_entropy: 2.585, recall: 0.7832, relative_absolute_error: 0.2635, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2563, root_relative_squared_error: 0.6878,
Jason 10 years ago
ran flow moa.DecisionStump(1) on task Supervised Data Stream Classification on data set BNG(satimage)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6963, f_measure: 0.2615, kappa: 0.241, kb_relative_information_score: 255136.1478, mean_absolute_error: 0.2405, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.266, predictive_accuracy: 0.4139, prior_entropy: 2.585, recall: 0.4139, relative_absolute_error: 0.866, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3452, root_relative_squared_error: 0.9263,
Jason 10 years ago
ran flow moa.HoeffdingOptionTree(1) on task Supervised Data Stream Classification on data set BNG(satimage)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9439, f_measure: 0.8227, kappa: 0.7827, kb_relative_information_score: 793407.5406, mean_absolute_error: 0.0696, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.8219, predictive_accuracy: 0.824, prior_entropy: 2.585, recall: 0.824, relative_absolute_error: 0.2507, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2219, root_relative_squared_error: 0.5954,
Jason 10 years ago
ran flow moa.WEKAClassifier_J48(1) on task Supervised Data Stream Classification on data set BNG(satimage)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8361, f_measure: 0.7196, kappa: 0.652, kb_relative_information_score: 684675.3401, mean_absolute_error: 0.0977, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7233, predictive_accuracy: 0.7182, prior_entropy: 2.585, recall: 0.7182, relative_absolute_error: 0.3516, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2954, root_relative_squared_error: 0.7927,
Jason 10 years ago
ran flow moa.WEKAClassifier_SMO_PolyKernel(1) on task Supervised Data Stream Classification on data set BNG(satimage)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9395, f_measure: 0.8232, kappa: 0.7867, kb_relative_information_score: 352171.146, mean_absolute_error: 0.2282, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.8211, predictive_accuracy: 0.8282, prior_entropy: 2.585, recall: 0.8282, relative_absolute_error: 0.8217, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3191, root_relative_squared_error: 0.8564,
Jason 10 years ago
ran flow moa.WEKAClassifier_LinearRegression(1) on task Supervised Data Stream Classification on data set BNG(satimage)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0918, kb_relative_information_score: 160728.1513, mean_absolute_error: 0.2539, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.0568, predictive_accuracy: 0.2384, prior_entropy: 2.585, recall: 0.2384, relative_absolute_error: 0.914, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.5037, root_relative_squared_error: 1.3517,
Jason 10 years ago
ran flow moa.WEKAClassifier(1) on task Supervised Data Stream Classification on data set BNG(satimage)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9424, f_measure: 0.79, kappa: 0.7341, kb_relative_information_score: 764342.2935, mean_absolute_error: 0.0732, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.8043, predictive_accuracy: 0.7826, prior_entropy: 2.585, recall: 0.7826, relative_absolute_error: 0.2636, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2571, root_relative_squared_error: 0.6899,
Jason 10 years ago
ran flow moa.WEKAClassifier_OneR(1) on task Supervised Data Stream Classification on data set BNG(satimage)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6547, f_measure: 0.4309, kappa: 0.3095, kb_relative_information_score: 391885.2898, mean_absolute_error: 0.184, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.4239, predictive_accuracy: 0.4482, prior_entropy: 2.585, recall: 0.4482, relative_absolute_error: 0.6623, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.4287, root_relative_squared_error: 1.1504,
Jason 10 years ago
ran flow moa.WEKAClassifier_REPTree(1) on task Supervised Data Stream Classification on data set BNG(satimage)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.896, f_measure: 0.694, kappa: 0.6381, kb_relative_information_score: 637827.6047, mean_absolute_error: 0.1242, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.6974, predictive_accuracy: 0.7115, prior_entropy: 2.585, recall: 0.7115, relative_absolute_error: 0.447, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2695, root_relative_squared_error: 0.7233,
Jason 10 years ago
ran flow moa.WEKAClassifier_J48(1) on task Supervised Data Stream Classification on data set BNG(satimage)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8361, f_measure: 0.7196, kappa: 0.652, kb_relative_information_score: 684675.3401, mean_absolute_error: 0.0977, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7233, predictive_accuracy: 0.7182, prior_entropy: 2.585, recall: 0.7182, relative_absolute_error: 0.3516, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2954, root_relative_squared_error: 0.7927,
Jason 10 years ago
ran flow moa.SPegasos(1) on task Supervised Data Stream Classification on data set BNG(satimage)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6198, f_measure: 0.2483, kappa: 0.2156, kb_relative_information_score: 256470.3187, mean_absolute_error: 0.225, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.239, predictive_accuracy: 0.3251, prior_entropy: 2.585, recall: 0.3251, relative_absolute_error: 0.8098, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.4743, root_relative_squared_error: 1.2727,
Jason 10 years ago
ran flow moa.MajorityClass(1) on task Supervised Data Stream Classification on data set BNG(satimage)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.0991, kappa: -0, kb_relative_information_score: 107443.978, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.1365, predictive_accuracy: 0.2383, prior_entropy: 2.585, recall: 0.2383, relative_absolute_error: 0.9724, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3675, root_relative_squared_error: 0.9861,
Jason 10 years ago
ran flow moa.NoChange(1) on task Supervised Data Stream Classification on data set BNG(satimage)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.19, kappa: 0.0004, kb_relative_information_score: 107584.5759, mean_absolute_error: 0.27, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.19, predictive_accuracy: 0.19, prior_entropy: 2.585, recall: 0.19, relative_absolute_error: 0.972, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.5196, root_relative_squared_error: 1.3943,
Jason 10 years ago
ran flow moa.RandomHoeffdingTree(1) on task Supervised Data Stream Classification on data set BNG(satimage)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9428, f_measure: 0.7554, kappa: 0.7056, kb_relative_information_score: 705675.3157, mean_absolute_error: 0.1044, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7527, predictive_accuracy: 0.7632, prior_entropy: 2.585, recall: 0.7632, relative_absolute_error: 0.376, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2375, root_relative_squared_error: 0.6374,
Jason 10 years ago
ran flow moa.HoeffdingAdaptiveTree(1) on task Supervised Data Stream Classification on data set BNG(satimage)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9455, f_measure: 0.8238, kappa: 0.784, kb_relative_information_score: 794617.7453, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.8231, predictive_accuracy: 0.8251, prior_entropy: 2.585, recall: 0.8251, relative_absolute_error: 0.2491, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2211, root_relative_squared_error: 0.5932,
Jason 10 years ago
ran flow moa.FIMTDD(1) on task Supervised Data Stream Classification on data set BNG(satimage)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0918, kb_relative_information_score: 160893.0205, mean_absolute_error: 0.2539, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.0568, predictive_accuracy: 0.2384, prior_entropy: 2.585, recall: 0.2384, relative_absolute_error: 0.9139, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.5039, root_relative_squared_error: 1.352,
Jason 10 years ago
ran flow moa.ASHoeffdingTree(1) on task Supervised Data Stream Classification on data set BNG(satimage)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9437, f_measure: 0.8222, kappa: 0.7814, kb_relative_information_score: 794473.5889, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.8225, predictive_accuracy: 0.8227, prior_entropy: 2.585, recall: 0.8227, relative_absolute_error: 0.2479, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2229, root_relative_squared_error: 0.598,
Jason 10 years ago
ran flow moa.RuleClassifier(1) on task Supervised Data Stream Classification on data set BNG(satimage)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8817, f_measure: 0.558, kappa: 0.4985, kb_relative_information_score: 516665.9383, mean_absolute_error: 0.1574, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.5769, predictive_accuracy: 0.6007, prior_entropy: 2.585, recall: 0.6007, relative_absolute_error: 0.5667, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2907, root_relative_squared_error: 0.7801,
Jason 10 years ago
ran flow moa.OzaBoostAdwin_HoeffdingTree(1) on task Supervised Data Stream Classification on data set BNG(satimage)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.8415, kappa: 0.8061, kb_relative_information_score: 769340.5834, mean_absolute_error: 0.0911, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.8404, predictive_accuracy: 0.843, prior_entropy: 2.585, recall: 0.843, relative_absolute_error: 0.3279, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1974, root_relative_squared_error: 0.5296,
Jason 10 years ago
ran flow moa.OzaBoost_HoeffdingTree(1) on task Supervised Data Stream Classification on data set BNG(satimage)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.8368, kappa: 0.8002, kb_relative_information_score: 781099.6776, mean_absolute_error: 0.085, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.8363, predictive_accuracy: 0.8381, prior_entropy: 2.585, recall: 0.8381, relative_absolute_error: 0.306, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1947, root_relative_squared_error: 0.5224,
Jason 10 years ago
ran flow moa.OzaBagAdwin_HoeffdingTree(1) on task Supervised Data Stream Classification on data set BNG(satimage)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9678, f_measure: 0.8402, kappa: 0.8035, kb_relative_information_score: 805397.164, mean_absolute_error: 0.0707, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.8405, predictive_accuracy: 0.8407, prior_entropy: 2.585, recall: 0.8407, relative_absolute_error: 0.2545, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1964, root_relative_squared_error: 0.527,
Jason 10 years ago
ran flow moa.OzaBag_HoeffdingTree(1) on task Supervised Data Stream Classification on data set BNG(satimage)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.968, f_measure: 0.8415, kappa: 0.8052, kb_relative_information_score: 807227.127, mean_absolute_error: 0.0699, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.8418, predictive_accuracy: 0.8421, prior_entropy: 2.585, recall: 0.8421, relative_absolute_error: 0.2518, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1959, root_relative_squared_error: 0.5256,
Jason 10 years ago
ran flow moa.LeveragingBag_HoeffdingTree(1) on task Supervised Data Stream Classification on data set BNG(satimage)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.8641, kappa: 0.8346, kb_relative_information_score: 825115.5731, mean_absolute_error: 0.0659, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.8632, predictive_accuracy: 0.8662, prior_entropy: 2.585, recall: 0.8662, relative_absolute_error: 0.2371, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1788, root_relative_squared_error: 0.4797,
Jason 10 years ago
ran flow moa.LeveragingBag_kNN(1) on task Supervised Data Stream Classification on data set BNG(satimage)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9558, f_measure: 0.8099, kappa: 0.7676, kb_relative_information_score: 788145.6747, mean_absolute_error: 0.0748, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.8236, predictive_accuracy: 0.8132, prior_entropy: 2.585, recall: 0.8132, relative_absolute_error: 0.2693, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2094, root_relative_squared_error: 0.5619,
Jason 10 years ago
ran flow moa.kNN(1) on task Supervised Data Stream Classification on data set BNG(satimage)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9553, f_measure: 0.8099, kappa: 0.7675, kb_relative_information_score: 788124.4422, mean_absolute_error: 0.0748, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.8239, predictive_accuracy: 0.8131, prior_entropy: 2.585, recall: 0.8131, relative_absolute_error: 0.2693, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2095, root_relative_squared_error: 0.5621,
Jason 10 years ago
ran flow moa.HoeffdingTree(1) on task Supervised Data Stream Classification on data set BNG(satimage)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9437, f_measure: 0.8222, kappa: 0.7814, kb_relative_information_score: 794473.5889, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.8225, predictive_accuracy: 0.8227, prior_entropy: 2.585, recall: 0.8227, relative_absolute_error: 0.2479, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2229, root_relative_squared_error: 0.598,
Jason 10 years ago
ran flow moa.SGD(1) on task Supervised Data Stream Classification on data set BNG(satimage)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6207, f_measure: 0.2498, kappa: 0.2173, kb_relative_information_score: 258147.1907, mean_absolute_error: 0.2244, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.2402, predictive_accuracy: 0.3267, prior_entropy: 2.585, recall: 0.3267, relative_absolute_error: 0.808, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.4738, root_relative_squared_error: 1.2712,
Jason 10 years ago
ran flow moa.NaiveBayes(1) on task Supervised Data Stream Classification on data set BNG(satimage)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.943, f_measure: 0.792, kappa: 0.7352, kb_relative_information_score: 765008.486, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.8101, predictive_accuracy: 0.7832, prior_entropy: 2.585, recall: 0.7832, relative_absolute_error: 0.2632, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2569, root_relative_squared_error: 0.6893,

    Metric:

    Timeline

    Plotting contribution timeline

    Leaderboard

    Rank Name Top Score Entries Highest rank

    Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

    Challenge

    Given a dataset with a nominal target, various data samples of increasing size are defined. A model is build for each individual data sample; from this a learning curve can be drawn.

    Given inputs

    estimation_procedure Interleaved Test then Train
    source_data BNG(satimage) (1)
    target_feature class

    Expected outputs

    evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
    predictions The desired output format Predictions (optional)

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