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OpenML
Task
Supervised Data Stream Classification on BNG(cylinder-bands)

Supervised Data Stream Classification on BNG(cylinder-bands)

Task 2158 Supervised Data Stream Classification BNG(cylinder-bands) 45 runs submitted
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Jason 10 years ago
ran flow moa.AccuracyWeightedEnsemble_WEKAClassifier_IBk(1) on task Supervised Data Stream Classification on data set BNG(cylinder-bands)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8293, f_measure: 0.7361, kappa: 0.4568, kb_relative_information_score: 308941.0369, mean_absolute_error: 0.3617, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7498, predictive_accuracy: 0.7449, prior_entropy: 1, recall: 0.7449, relative_absolute_error: 0.7234, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4136, root_relative_squared_error: 0.8272,
Jason 10 years ago
ran flow moa.SGD(1) on task Supervised Data Stream Classification on data set BNG(cylinder-bands)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.523, f_measure: 0.5349, kappa: 0.046, kb_relative_information_score: 70166.4418, mean_absolute_error: 0.4649, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.5346, predictive_accuracy: 0.5351, prior_entropy: 1, recall: 0.5351, relative_absolute_error: 0.9298, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6818, root_relative_squared_error: 1.3637,
Jason 10 years ago
ran flow moa.AccuracyWeightedEnsemble_WEKAClassifier_LMT(1) on task Supervised Data Stream Classification on data set BNG(cylinder-bands)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8942, f_measure: 0.8136, kappa: 0.6157, kb_relative_information_score: 444814.4111, mean_absolute_error: 0.2956, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8171, predictive_accuracy: 0.816, prior_entropy: 1, recall: 0.816, relative_absolute_error: 0.5913, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3657, root_relative_squared_error: 0.7314,
Jason 10 years ago
ran flow moa.AccuracyWeightedEnsemble_WEKAClassifier_Logistic(1) on task Supervised Data Stream Classification on data set BNG(cylinder-bands)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7182, f_measure: 0.6659, kappa: 0.3172, kb_relative_information_score: 331883.761, mean_absolute_error: 0.3338, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.6671, predictive_accuracy: 0.6651, prior_entropy: 1, recall: 0.6651, relative_absolute_error: 0.6677, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5625, root_relative_squared_error: 1.125,
Jason 10 years ago
ran flow moa.LeveragingBag_NaiveBayes(1) on task Supervised Data Stream Classification on data set BNG(cylinder-bands)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8643, f_measure: 0.7898, kappa: 0.5713, kb_relative_information_score: 496889.148, mean_absolute_error: 0.2607, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7917, predictive_accuracy: 0.789, prior_entropy: 1, recall: 0.789, relative_absolute_error: 0.5214, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3888, root_relative_squared_error: 0.7775,
Jason 10 years ago
ran flow moa.LeveragingBag_FIMTDD(1) on task Supervised Data Stream Classification on data set BNG(cylinder-bands)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2504, kb_relative_information_score: -156124, mean_absolute_error: 0.5781, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.178, predictive_accuracy: 0.4219, prior_entropy: 1, recall: 0.4219, relative_absolute_error: 1.1561, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7603, root_relative_squared_error: 1.5206,
Jason 10 years ago
ran flow moa.LeveragingBag_SGD(1) on task Supervised Data Stream Classification on data set BNG(cylinder-bands)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5193, f_measure: 0.5204, kappa: 0.0175, kb_relative_information_score: 47425.0874, mean_absolute_error: 0.4758, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.5207, predictive_accuracy: 0.52, prior_entropy: 1, recall: 0.52, relative_absolute_error: 0.9516, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6576, root_relative_squared_error: 1.3152,
Jason 10 years ago
ran flow moa.LeveragingBag_SPegasos(1) on task Supervised Data Stream Classification on data set BNG(cylinder-bands)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.5119, kappa: -0.0005, kb_relative_information_score: 23896.122, mean_absolute_error: 0.4881, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.5119, predictive_accuracy: 0.5119, prior_entropy: 1, recall: 0.5119, relative_absolute_error: 0.9761, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6978, root_relative_squared_error: 1.3956,
Jason 10 years ago
ran flow moa.AccuracyWeightedEnsemble_WEKAClassifier_J48(1) on task Supervised Data Stream Classification on data set BNG(cylinder-bands)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6769, f_measure: 0.6642, kappa: 0.3122, kb_relative_information_score: 324216.6511, mean_absolute_error: 0.3381, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.6645, predictive_accuracy: 0.664, prior_entropy: 1, recall: 0.664, relative_absolute_error: 0.6761, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.552, root_relative_squared_error: 1.104,
Jason 10 years ago
ran flow moa.AccuracyWeightedEnsemble_W ... KAClassifier_SMO_PolyKernel(1) on task Supervised Data Stream Classification on data set BNG(cylinder-bands)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8846, f_measure: 0.7857, kappa: 0.5596, kb_relative_information_score: 540748.545, mean_absolute_error: 0.2352, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7855, predictive_accuracy: 0.7863, prior_entropy: 1, recall: 0.7863, relative_absolute_error: 0.4705, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3777, root_relative_squared_error: 0.7553,
Jason 10 years ago
ran flow moa.AccuracyWeightedEnsemble_WEKAClassifier_JRip(1) on task Supervised Data Stream Classification on data set BNG(cylinder-bands)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6866, f_measure: 0.6644, kappa: 0.3123, kb_relative_information_score: 310561.9403, mean_absolute_error: 0.3479, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.6645, predictive_accuracy: 0.6642, prior_entropy: 1, recall: 0.6642, relative_absolute_error: 0.6958, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5378, root_relative_squared_error: 1.0757,
Jason 10 years ago
ran flow moa.AccuracyWeightedEnsemble_WEKAClassifier(1) on task Supervised Data Stream Classification on data set BNG(cylinder-bands)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6272, f_measure: 0.5507, kappa: 0.1226, kb_relative_information_score: 79091.5905, mean_absolute_error: 0.4679, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.6133, predictive_accuracy: 0.6108, prior_entropy: 1, recall: 0.6108, relative_absolute_error: 0.9357, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4816, root_relative_squared_error: 0.9632,
Jason 10 years ago
ran flow moa.AccuracyWeightedEnsemble_WEKAClassifier_OneR(1) on task Supervised Data Stream Classification on data set BNG(cylinder-bands)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6954, f_measure: 0.6971, kappa: 0.3835, kb_relative_information_score: 391415.0289, mean_absolute_error: 0.3043, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7003, predictive_accuracy: 0.6957, prior_entropy: 1, recall: 0.6957, relative_absolute_error: 0.6086, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5515, root_relative_squared_error: 1.1029,
Jason 10 years ago
ran flow moa.AccuracyWeightedEnsemble_WEKAClassifier_REPTree(1) on task Supervised Data Stream Classification on data set BNG(cylinder-bands)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7989, f_measure: 0.7483, kappa: 0.4828, kb_relative_information_score: 358527.0472, mean_absolute_error: 0.3349, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.748, predictive_accuracy: 0.7491, prior_entropy: 1, recall: 0.7491, relative_absolute_error: 0.6697, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4241, root_relative_squared_error: 0.8482,
Jason 10 years ago
ran flow moa.Perceptron(1) on task Supervised Data Stream Classification on data set BNG(cylinder-bands)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3076, kappa: 0, kb_relative_information_score: -137744, mean_absolute_error: 0.5689, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.5122, predictive_accuracy: 0.4311, prior_entropy: 1, recall: 0.4311, relative_absolute_error: 1.1377, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7542, root_relative_squared_error: 1.5085,
Jason 10 years ago
ran flow moa.OzaBoostAdwin_HoeffdingTree(1) on task Supervised Data Stream Classification on data set BNG(cylinder-bands)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7325, f_measure: 0.6843, kappa: 0.3493, kb_relative_information_score: 279251.6548, mean_absolute_error: 0.3708, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.6908, predictive_accuracy: 0.6929, prior_entropy: 1, recall: 0.6929, relative_absolute_error: 0.7417, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.461, root_relative_squared_error: 0.922,
Jason 10 years ago
ran flow moa.WEKAClassifier_JRip(1) on task Supervised Data Stream Classification on data set BNG(cylinder-bands)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6207, f_measure: 0.6314, kappa: 0.2422, kb_relative_information_score: 155620.1753, mean_absolute_error: 0.4346, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.6402, predictive_accuracy: 0.6457, prior_entropy: 1, recall: 0.6457, relative_absolute_error: 0.8691, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4833, root_relative_squared_error: 0.9665,
Jason 10 years ago
ran flow moa.ADACC_NaiveBayes(1) on task Supervised Data Stream Classification on data set BNG(cylinder-bands)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.902, f_measure: 0.8288, kappa: 0.652, kb_relative_information_score: 578824.1548, mean_absolute_error: 0.2197, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8325, predictive_accuracy: 0.828, prior_entropy: 1, recall: 0.828, relative_absolute_error: 0.4395, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3546, root_relative_squared_error: 0.7093,
Jason 10 years ago
ran flow moa.LeveragingBag_HoeffdingTree(1) on task Supervised Data Stream Classification on data set BNG(cylinder-bands)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7864, f_measure: 0.7362, kappa: 0.4566, kb_relative_information_score: 376885.1825, mean_absolute_error: 0.3229, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7367, predictive_accuracy: 0.7385, prior_entropy: 1, recall: 0.7385, relative_absolute_error: 0.6459, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4372, root_relative_squared_error: 0.8744,
Jason 10 years ago
ran flow moa.DecisionStump(1) on task Supervised Data Stream Classification on data set BNG(cylinder-bands)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8165, f_measure: 0.7698, kappa: 0.5269, kb_relative_information_score: 372341.2144, mean_absolute_error: 0.3319, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7696, predictive_accuracy: 0.7706, prior_entropy: 1, recall: 0.7706, relative_absolute_error: 0.6638, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4078, root_relative_squared_error: 0.8155,
Jason 10 years ago
ran flow moa.HoeffdingOptionTree(1) on task Supervised Data Stream Classification on data set BNG(cylinder-bands)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7424, f_measure: 0.7403, kappa: 0.4733, kb_relative_information_score: 407753.5874, mean_absolute_error: 0.3046, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7456, predictive_accuracy: 0.7389, prior_entropy: 1, recall: 0.7389, relative_absolute_error: 0.6091, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.481, root_relative_squared_error: 0.9621,
Jason 10 years ago
ran flow moa.WEKAClassifier_J48(1) on task Supervised Data Stream Classification on data set BNG(cylinder-bands)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4242, kappa: -0, kb_relative_information_score: 36317.1429, mean_absolute_error: 0.4863, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.5084, predictive_accuracy: 0.5779, prior_entropy: 1, recall: 0.5779, relative_absolute_error: 0.9727, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.494, root_relative_squared_error: 0.9879,
Jason 11 years ago
ran flow moa.LeveragingBag_kNN(1) on task Supervised Data Stream Classification on data set BNG(cylinder-bands)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7645, f_measure: 0.7033, kappa: 0.3883, kb_relative_information_score: 270849.6565, mean_absolute_error: 0.3767, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.704, predictive_accuracy: 0.7068, prior_entropy: 1, ram_hours: 0.0026, recall: 0.7068, relative_absolute_error: 0.7534, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.881, run_cpu_time: 12370.355,
Jason 11 years ago
ran flow moa.RandomHoeffdingTree(1) on task Supervised Data Stream Classification on data set BNG(cylinder-bands)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6841, f_measure: 0.6435, kappa: 0.2646, kb_relative_information_score: 208418.4569, mean_absolute_error: 0.4036, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.645, predictive_accuracy: 0.6504, prior_entropy: 1, ram_hours: 0.0011, recall: 0.6504, relative_absolute_error: 0.8072, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4879, root_relative_squared_error: 0.9758, run_cpu_time: 69.27,
Jason 11 years ago
ran flow moa.HoeffdingAdaptiveTree(1) on task Supervised Data Stream Classification on data set BNG(cylinder-bands)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7352, f_measure: 0.738, kappa: 0.4676, kb_relative_information_score: 370842.0004, mean_absolute_error: 0.3262, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7421, predictive_accuracy: 0.7367, prior_entropy: 1, ram_hours: 0.0007, recall: 0.7367, relative_absolute_error: 0.6525, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4743, root_relative_squared_error: 0.9486, run_cpu_time: 199.2894,
Jason 11 years ago
ran flow moa.MajorityClass(1) on task Supervised Data Stream Classification on data set BNG(cylinder-bands)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.4235, kappa: -0, kb_relative_information_score: 32910.048, mean_absolute_error: 0.4877, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.4848, predictive_accuracy: 0.5781, prior_entropy: 1, ram_hours: 0, recall: 0.5781, relative_absolute_error: 0.9754, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4939, root_relative_squared_error: 0.9877, run_cpu_time: 12.8245,
Jason 11 years ago
ran flow moa.NaiveBayes(1) on task Supervised Data Stream Classification on data set BNG(cylinder-bands)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9026, f_measure: 0.8291, kappa: 0.6526, kb_relative_information_score: 581737.3934, mean_absolute_error: 0.218, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8328, predictive_accuracy: 0.8283, prior_entropy: 1, ram_hours: 0, recall: 0.8283, relative_absolute_error: 0.4361, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3544, root_relative_squared_error: 0.7088, run_cpu_time: 19.7812,
Jason 11 years ago
ran flow moa.WEKAClassifier_J48(1) on task Supervised Data Stream Classification on data set BNG(cylinder-bands)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4242, kappa: -0, kb_relative_information_score: 36317.1429, mean_absolute_error: 0.4863, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.5084, predictive_accuracy: 0.5779, prior_entropy: 1, ram_hours: 0, recall: 0.5779, relative_absolute_error: 0.9727, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.494, root_relative_squared_error: 0.9879, run_cpu_time: 13.9904,
Jason 11 years ago
ran flow moa.WEKAClassifier_OneR(1) on task Supervised Data Stream Classification on data set BNG(cylinder-bands)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7008, f_measure: 0.7076, kappa: 0.4009, kb_relative_information_score: 415184, mean_absolute_error: 0.2924, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7078, predictive_accuracy: 0.7075, prior_entropy: 1, ram_hours: 0, recall: 0.7075, relative_absolute_error: 0.5848, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5405, root_relative_squared_error: 1.081, run_cpu_time: 13.0255,
Jason 11 years ago
ran flow moa.NoChange(1) on task Supervised Data Stream Classification on data set BNG(cylinder-bands)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.5119, kappa: -0.0005, kb_relative_information_score: 23898, mean_absolute_error: 0.4881, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.5119, predictive_accuracy: 0.5119, prior_entropy: 1, ram_hours: 0, recall: 0.5119, relative_absolute_error: 0.9761, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6986, root_relative_squared_error: 1.3972, run_cpu_time: 12.7958,
Jason 11 years ago
ran flow moa.ASHoeffdingTree(1) on task Supervised Data Stream Classification on data set BNG(cylinder-bands)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6876, f_measure: 0.6799, kappa: 0.3685, kb_relative_information_score: 319641.29, mean_absolute_error: 0.3446, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.705, predictive_accuracy: 0.6789, prior_entropy: 1, ram_hours: -0.2805, recall: 0.6789, relative_absolute_error: 0.6892, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5535, root_relative_squared_error: 1.107, run_cpu_time: 1648.06,
Jason 11 years ago
ran flow moa.WEKAClassifier(1) on task Supervised Data Stream Classification on data set BNG(cylinder-bands)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.854, f_measure: 0.7814, kappa: 0.5526, kb_relative_information_score: 491260.5088, mean_absolute_error: 0.2626, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7819, predictive_accuracy: 0.7811, prior_entropy: 1, ram_hours: 0, recall: 0.7811, relative_absolute_error: 0.5253, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3962, root_relative_squared_error: 0.7924, run_cpu_time: 25.8125,
Jason 11 years ago
ran flow moa.WEKAClassifier_REPTree(1) on task Supervised Data Stream Classification on data set BNG(cylinder-bands)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7246, f_measure: 0.6958, kappa: 0.3733, kb_relative_information_score: 337789.0517, mean_absolute_error: 0.3372, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.6957, predictive_accuracy: 0.6984, prior_entropy: 1, ram_hours: 0, recall: 0.6984, relative_absolute_error: 0.6744, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4836, root_relative_squared_error: 0.9673, run_cpu_time: 13.7047,
Jason 11 years ago
ran flow moa.WEKAClassifier_SMO_PolyKernel(1) on task Supervised Data Stream Classification on data set BNG(cylinder-bands)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7596, f_measure: 0.7683, kappa: 0.5232, kb_relative_information_score: 539170, mean_absolute_error: 0.2304, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7683, predictive_accuracy: 0.7695, prior_entropy: 1, ram_hours: 0, recall: 0.7695, relative_absolute_error: 0.4608, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4798, root_relative_squared_error: 0.9595, run_cpu_time: 29.5523,
Jason 11 years ago
ran flow moa.SGD(1) on task Supervised Data Stream Classification on data set BNG(cylinder-bands)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5227, f_measure: 0.5345, kappa: 0.0454, kb_relative_information_score: 69540, mean_absolute_error: 0.4652, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.5343, predictive_accuracy: 0.5348, prior_entropy: 1, ram_hours: 0, recall: 0.5348, relative_absolute_error: 0.9305, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6821, root_relative_squared_error: 1.3642, run_cpu_time: 12.6091,
Jason 11 years ago
ran flow moa.OzaBagAdwin_HoeffdingTree(1) on task Supervised Data Stream Classification on data set BNG(cylinder-bands)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8287, f_measure: 0.7765, kappa: 0.5418, kb_relative_information_score: 419862.4727, mean_absolute_error: 0.3059, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7765, predictive_accuracy: 0.7766, prior_entropy: 1, ram_hours: 0.0163, recall: 0.7766, relative_absolute_error: 0.6118, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4051, root_relative_squared_error: 0.8102, run_cpu_time: 762.9109,
Jason 11 years ago
ran flow moa.HoeffdingTree(1) on task Supervised Data Stream Classification on data set BNG(cylinder-bands)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6876, f_measure: 0.6799, kappa: 0.3685, kb_relative_information_score: 319641.29, mean_absolute_error: 0.3446, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.705, predictive_accuracy: 0.6789, prior_entropy: 1, ram_hours: -0.3648, recall: 0.6789, relative_absolute_error: 0.6892, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5535, root_relative_squared_error: 1.107, run_cpu_time: 2008.43,
Jason 11 years ago
ran flow moa.Perceptron(1) on task Supervised Data Stream Classification on data set BNG(cylinder-bands)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2504, kb_relative_information_score: -156124, mean_absolute_error: 0.5781, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.178, predictive_accuracy: 0.4219, prior_entropy: 1, ram_hours: 0, recall: 0.4219, relative_absolute_error: 1.1561, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7603, root_relative_squared_error: 1.5206, run_cpu_time: 14.9986,
Jason 11 years ago
ran flow moa.SPegasos(1) on task Supervised Data Stream Classification on data set BNG(cylinder-bands)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.5119, kappa: -0.0005, kb_relative_information_score: 23892, mean_absolute_error: 0.4881, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.5119, predictive_accuracy: 0.5119, prior_entropy: 1, ram_hours: 0, recall: 0.5119, relative_absolute_error: 0.9761, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6986, root_relative_squared_error: 1.3972, run_cpu_time: 13.1688,
Jason 11 years ago
ran flow moa.kNN(1) on task Supervised Data Stream Classification on data set BNG(cylinder-bands)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7633, f_measure: 0.7041, kappa: 0.3904, kb_relative_information_score: 270758.338, mean_absolute_error: 0.3767, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7042, predictive_accuracy: 0.7068, prior_entropy: 1, ram_hours: 0.0001, recall: 0.7068, relative_absolute_error: 0.7534, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4407, root_relative_squared_error: 0.8813, run_cpu_time: 555.2999,
Jason 11 years ago
ran flow moa.WEKAClassifier_LinearRegression(1) on task Supervised Data Stream Classification on data set BNG(cylinder-bands)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2504, kb_relative_information_score: -155950, mean_absolute_error: 0.578, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.178, predictive_accuracy: 0.4219, prior_entropy: 1, ram_hours: 0.0036, recall: 0.4219, relative_absolute_error: 1.156, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7601, root_relative_squared_error: 1.5202, run_cpu_time: 64.96,
Jason 11 years ago
ran flow moa.RuleClassifier(1) on task Supervised Data Stream Classification on data set BNG(cylinder-bands)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6947, f_measure: 0.6573, kappa: 0.3061, kb_relative_information_score: 192297.3789, mean_absolute_error: 0.417, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.6969, predictive_accuracy: 0.6831, prior_entropy: 1, ram_hours: 0.0279, recall: 0.6831, relative_absolute_error: 0.834, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4573, root_relative_squared_error: 0.9147, run_cpu_time: 357.83,
Jason 11 years ago
ran flow moa.FIMTDD(1) on task Supervised Data Stream Classification on data set BNG(cylinder-bands)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2504, kb_relative_information_score: -156124, mean_absolute_error: 0.5781, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.178, predictive_accuracy: 0.4219, prior_entropy: 1, ram_hours: 0.0121, recall: 0.4219, relative_absolute_error: 1.1561, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7603, root_relative_squared_error: 1.5206, run_cpu_time: 206.67,

    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(cylinder-bands) (1)
    target_feature band_type

    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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