Task
Supervised Data Stream Classification on vehicle_sensIT

Supervised Data Stream Classification on vehicle_sensIT

Task 6801 Supervised Data Stream Classification vehicle_sensIT 41 runs submitted
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Jan van Rijn 10 years ago
ran flow moa.LeveragingBag_NaiveBayes(1) on task Supervised Data Stream Classification on data set vehicle_sensIT
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8154, f_measure: 0.8029, kappa: 0.6141, kb_relative_information_score: 60495.9798, mean_absolute_error: 0.193, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8353, predictive_accuracy: 0.8071, prior_entropy: 1, recall: 0.8071, relative_absolute_error: 0.386, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4382, root_relative_squared_error: 0.8764,
Jan van Rijn 10 years ago
ran flow moa.AccuracyWeightedEnsemble_WEKAClassifier_Logistic(1) on task Supervised Data Stream Classification on data set vehicle_sensIT
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9038, f_measure: 0.8544, kappa: 0.7094, kb_relative_information_score: 57639.4426, mean_absolute_error: 0.2216, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8584, predictive_accuracy: 0.8547, prior_entropy: 1, recall: 0.8547, relative_absolute_error: 0.4432, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3354, root_relative_squared_error: 0.6709,
Jan van Rijn 10 years ago
ran flow moa.LeveragingBag_FIMTDD(1) on task Supervised Data Stream Classification on data set vehicle_sensIT
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4142,
Jan van Rijn 10 years ago
ran flow moa.LeveragingBag_SGD(1) on task Supervised Data Stream Classification on data set vehicle_sensIT
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8433, f_measure: 0.8418, kappa: 0.6848, kb_relative_information_score: 67465.7592, mean_absolute_error: 0.1576, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8477, predictive_accuracy: 0.8424, prior_entropy: 1, recall: 0.8424, relative_absolute_error: 0.3153, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3965, root_relative_squared_error: 0.7929,
Jan van Rijn 10 years ago
ran flow moa.LeveragingBag_SPegasos(1) on task Supervised Data Stream Classification on data set vehicle_sensIT
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7319, f_measure: 0.6814, kappa: 0.3633, kb_relative_information_score: 30978.6171, mean_absolute_error: 0.3476, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.6822, predictive_accuracy: 0.6817, prior_entropy: 1, recall: 0.6817, relative_absolute_error: 0.6952, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4888, root_relative_squared_error: 0.9776,
Jan van Rijn 10 years ago
ran flow moa.AccuracyWeightedEnsemble_W ... KAClassifier_SMO_PolyKernel(1) on task Supervised Data Stream Classification on data set vehicle_sensIT
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8812, f_measure: 0.8486, kappa: 0.6988, kb_relative_information_score: 67752.5293, mean_absolute_error: 0.1575, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8565, predictive_accuracy: 0.8494, prior_entropy: 1, recall: 0.8494, relative_absolute_error: 0.3151, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3668, root_relative_squared_error: 0.7337,
Jan van Rijn 10 years ago
ran flow moa.AccuracyWeightedEnsemble_WEKAClassifier_LMT(1) on task Supervised Data Stream Classification on data set vehicle_sensIT
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8987, f_measure: 0.8497, kappa: 0.7001, kb_relative_information_score: 57799.1844, mean_absolute_error: 0.2192, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8535, predictive_accuracy: 0.85, prior_entropy: 1, recall: 0.85, relative_absolute_error: 0.4384, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3411, root_relative_squared_error: 0.6821,
Jan van Rijn 10 years ago
ran flow moa.AccuracyWeightedEnsemble_WEKAClassifier_JRip(1) on task Supervised Data Stream Classification on data set vehicle_sensIT
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8959, f_measure: 0.8447, kappa: 0.6904, kb_relative_information_score: 56891.4387, mean_absolute_error: 0.2239, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8496, predictive_accuracy: 0.8452, prior_entropy: 1, recall: 0.8452, relative_absolute_error: 0.4477, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3447, root_relative_squared_error: 0.6894,
Jan van Rijn 10 years ago
ran flow moa.AccuracyWeightedEnsemble_WEKAClassifier_J48(1) on task Supervised Data Stream Classification on data set vehicle_sensIT
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8847, f_measure: 0.8254, kappa: 0.6512, kb_relative_information_score: 56026.9113, mean_absolute_error: 0.225, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8273, predictive_accuracy: 0.8256, prior_entropy: 1, recall: 0.8256, relative_absolute_error: 0.4501, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3605, root_relative_squared_error: 0.721,
Jan van Rijn 10 years ago
ran flow moa.AccuracyWeightedEnsemble_WEKAClassifier(1) on task Supervised Data Stream Classification on data set vehicle_sensIT
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7963, f_measure: 0.7823, kappa: 0.5779, kb_relative_information_score: 41175.2423, mean_absolute_error: 0.3071, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8289, predictive_accuracy: 0.789, prior_entropy: 1, recall: 0.789, relative_absolute_error: 0.6143, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.394, root_relative_squared_error: 0.7881,
Jan van Rijn 10 years ago
ran flow moa.AccuracyWeightedEnsemble_WEKAClassifier_OneR(1) on task Supervised Data Stream Classification on data set vehicle_sensIT
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7693, f_measure: 0.7163, kappa: 0.4339, kb_relative_information_score: 43229.3328, mean_absolute_error: 0.2807, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.7188, predictive_accuracy: 0.717, prior_entropy: 1, recall: 0.717, relative_absolute_error: 0.5614, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5015, root_relative_squared_error: 1.0031,
Jan van Rijn 10 years ago
ran flow moa.AccuracyWeightedEnsemble_WEKAClassifier_REPTree(1) on task Supervised Data Stream Classification on data set vehicle_sensIT
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8933, f_measure: 0.8422, kappa: 0.6856, kb_relative_information_score: 55294.8805, mean_absolute_error: 0.2332, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8478, predictive_accuracy: 0.8428, prior_entropy: 1, recall: 0.8428, relative_absolute_error: 0.4665, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3472, root_relative_squared_error: 0.6943,
Jan van Rijn 10 years ago
ran flow moa.Perceptron(1) on task Supervised Data Stream Classification on data set vehicle_sensIT
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9908, kappa: 0.9817, kb_relative_information_score: 96073.9738, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.9909, predictive_accuracy: 0.9908, prior_entropy: 1, recall: 0.9908, relative_absolute_error: 0.0256, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0922, root_relative_squared_error: 0.1845,
Jan van Rijn 10 years ago
ran flow moa.WEKAClassifier_JRip(1) on task Supervised Data Stream Classification on data set vehicle_sensIT
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8061, f_measure: 0.7889, kappa: 0.5881, kb_relative_information_score: 43202.9705, mean_absolute_error: 0.2962, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.826, predictive_accuracy: 0.7941, prior_entropy: 1, recall: 0.7941, relative_absolute_error: 0.5924, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3918, root_relative_squared_error: 0.7837,
Jan van Rijn 10 years ago
ran flow moa.ADACC_NaiveBayes(1) on task Supervised Data Stream Classification on data set vehicle_sensIT
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.826, f_measure: 0.8059, kappa: 0.6159, kb_relative_information_score: 60702.5838, mean_absolute_error: 0.1919, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8215, predictive_accuracy: 0.8079, prior_entropy: 1, recall: 0.8079, relative_absolute_error: 0.3839, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4339, root_relative_squared_error: 0.8678,
Jan van Rijn 10 years ago
ran flow moa.DecisionStump(1) on task Supervised Data Stream Classification on data set vehicle_sensIT
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7939, f_measure: 0.7715, kappa: 0.5572, kb_relative_information_score: 41664.4, mean_absolute_error: 0.3035, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8185, predictive_accuracy: 0.7786, prior_entropy: 1, recall: 0.7786, relative_absolute_error: 0.6071, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4007, root_relative_squared_error: 0.8015,
Jan van Rijn 10 years ago
ran flow moa.HoeffdingOptionTree(1) on task Supervised Data Stream Classification on data set vehicle_sensIT
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8614, f_measure: 0.8274, kappa: 0.6566, kb_relative_information_score: 53073.2142, mean_absolute_error: 0.2459, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8353, predictive_accuracy: 0.8283, prior_entropy: 1, recall: 0.8283, relative_absolute_error: 0.4919, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.369, root_relative_squared_error: 0.738,
Jan van Rijn 10 years ago
ran flow moa.LeveragingBag_kNN(1) on task Supervised Data Stream Classification on data set vehicle_sensIT
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8085, f_measure: 0.7024, kappa: 0.4314, kb_relative_information_score: 32572.5244, mean_absolute_error: 0.3469, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.7626, predictive_accuracy: 0.7157, prior_entropy: 1, recall: 0.7157, relative_absolute_error: 0.6938, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4363, root_relative_squared_error: 0.8727,
Jan van Rijn 10 years ago
ran flow moa.WEKAClassifier_SMO_PolyKernel(1) on task Supervised Data Stream Classification on data set vehicle_sensIT
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8471, f_measure: 0.8429, kappa: 0.687, kb_relative_information_score: 67704, mean_absolute_error: 0.1564, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.849, predictive_accuracy: 0.8435, prior_entropy: 1, recall: 0.8435, relative_absolute_error: 0.3128, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3923, root_relative_squared_error: 0.7846,
Jan van Rijn 10 years ago
ran flow moa.WEKAClassifier_LinearRegression(1) on task Supervised Data Stream Classification on data set vehicle_sensIT
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3333, kb_relative_information_score: 12, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7053, root_relative_squared_error: 1.4105,
Jan van Rijn 10 years ago
ran flow moa.WEKAClassifier(1) on task Supervised Data Stream Classification on data set vehicle_sensIT
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.815, f_measure: 0.8032, kappa: 0.6126, kb_relative_information_score: 60370.8777, mean_absolute_error: 0.1936, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8271, predictive_accuracy: 0.8063, prior_entropy: 1, recall: 0.8063, relative_absolute_error: 0.3873, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4365, root_relative_squared_error: 0.873,
Jan van Rijn 10 years ago
ran flow moa.WEKAClassifier_OneR(1) on task Supervised Data Stream Classification on data set vehicle_sensIT
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7644, f_measure: 0.76, kappa: 0.5234, kb_relative_information_score: 51584, mean_absolute_error: 0.2382, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.7692, predictive_accuracy: 0.7617, prior_entropy: 1, recall: 0.7617, relative_absolute_error: 0.4765, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4855, root_relative_squared_error: 0.971,
Jan van Rijn 10 years ago
ran flow moa.WEKAClassifier_REPTree(1) on task Supervised Data Stream Classification on data set vehicle_sensIT
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8593, f_measure: 0.8029, kappa: 0.6062, kb_relative_information_score: 48945.69, mean_absolute_error: 0.2648, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.804, predictive_accuracy: 0.8031, prior_entropy: 1, recall: 0.8031, relative_absolute_error: 0.5297, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3778, root_relative_squared_error: 0.7556,
Jan van Rijn 10 years ago
ran flow moa.SPegasos(1) on task Supervised Data Stream Classification on data set vehicle_sensIT
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7831, f_measure: 0.7831, kappa: 0.5663, kb_relative_information_score: 55794, mean_absolute_error: 0.2169, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.7832, predictive_accuracy: 0.7831, prior_entropy: 1, recall: 0.7831, relative_absolute_error: 0.4337, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4657, root_relative_squared_error: 0.9314,
Jan van Rijn 10 years ago
ran flow moa.WEKAClassifier_J48(1) on task Supervised Data Stream Classification on data set vehicle_sensIT
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.783, f_measure: 0.8089, kappa: 0.6192, kb_relative_information_score: 54489.3074, mean_absolute_error: 0.2324, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.814, predictive_accuracy: 0.8096, prior_entropy: 1, recall: 0.8096, relative_absolute_error: 0.4647, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.412, root_relative_squared_error: 0.8239,
Jan van Rijn 10 years ago
ran flow moa.MajorityClass(1) on task Supervised Data Stream Classification on data set vehicle_sensIT
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, f_measure: 0.3477, kappa: -0.001, kb_relative_information_score: -3.1519, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.4927, predictive_accuracy: 0.4995, prior_entropy: 1, recall: 0.4995, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0001,
Jan van Rijn 10 years ago
ran flow moa.NoChange(1) on task Supervised Data Stream Classification on data set vehicle_sensIT
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.4994, kappa: -0.0012, kb_relative_information_score: -120, mean_absolute_error: 0.5006, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.4994, predictive_accuracy: 0.4994, prior_entropy: 1, recall: 0.4994, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7075, root_relative_squared_error: 1.4151,
Jan van Rijn 10 years ago
ran flow moa.RandomHoeffdingTree(1) on task Supervised Data Stream Classification on data set vehicle_sensIT
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8536, f_measure: 0.8199, kappa: 0.6423, kb_relative_information_score: 51769.4243, mean_absolute_error: 0.2517, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8301, predictive_accuracy: 0.8212, prior_entropy: 1, recall: 0.8212, relative_absolute_error: 0.5034, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3771, root_relative_squared_error: 0.7543,
Jan van Rijn 10 years ago
ran flow moa.HoeffdingAdaptiveTree(1) on task Supervised Data Stream Classification on data set vehicle_sensIT
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.83, f_measure: 0.8304, kappa: 0.6617, kb_relative_information_score: 54839.8834, mean_absolute_error: 0.2355, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8344, predictive_accuracy: 0.8309, prior_entropy: 1, recall: 0.8309, relative_absolute_error: 0.471, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3817, root_relative_squared_error: 0.7635,
Jan van Rijn 10 years ago
ran flow moa.FIMTDD(1) on task Supervised Data Stream Classification on data set vehicle_sensIT
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4142,
Jan van Rijn 10 years ago
ran flow moa.ASHoeffdingTree(1) on task Supervised Data Stream Classification on data set vehicle_sensIT
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8309, f_measure: 0.833, kappa: 0.6671, kb_relative_information_score: 55910.7958, mean_absolute_error: 0.2296, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8383, predictive_accuracy: 0.8335, prior_entropy: 1, recall: 0.8335, relative_absolute_error: 0.4592, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3809, root_relative_squared_error: 0.7618,
Jan van Rijn 10 years ago
ran flow moa.RuleClassifier(1) on task Supervised Data Stream Classification on data set vehicle_sensIT
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7885, f_measure: 0.724, kappa: 0.4516, kb_relative_information_score: 32767.3562, mean_absolute_error: 0.3449, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.732, predictive_accuracy: 0.7258, prior_entropy: 1, recall: 0.7258, relative_absolute_error: 0.6898, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4188, root_relative_squared_error: 0.8376,
Jan van Rijn 10 years ago
ran flow moa.OzaBoostAdwin_HoeffdingTree(1) on task Supervised Data Stream Classification on data set vehicle_sensIT
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8707, f_measure: 0.7953, kappa: 0.5908, kb_relative_information_score: 39350.6519, mean_absolute_error: 0.3176, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.7959, predictive_accuracy: 0.7954, prior_entropy: 1, recall: 0.7954, relative_absolute_error: 0.6353, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.7717,
Jan van Rijn 10 years ago
ran flow moa.OzaBoost_HoeffdingTree(1) on task Supervised Data Stream Classification on data set vehicle_sensIT
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8758, f_measure: 0.8234, kappa: 0.648, kb_relative_information_score: 36894.0468, mean_absolute_error: 0.3339, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8283, predictive_accuracy: 0.824, prior_entropy: 1, recall: 0.824, relative_absolute_error: 0.6678, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3812, root_relative_squared_error: 0.7624,
Jan van Rijn 10 years ago
ran flow moa.OzaBagAdwin_HoeffdingTree(1) on task Supervised Data Stream Classification on data set vehicle_sensIT
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.889, f_measure: 0.8413, kappa: 0.6843, kb_relative_information_score: 54989.736, mean_absolute_error: 0.2371, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8495, predictive_accuracy: 0.8421, prior_entropy: 1, recall: 0.8421, relative_absolute_error: 0.4743, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3485, root_relative_squared_error: 0.697,
Jan van Rijn 10 years ago
ran flow moa.OzaBag_HoeffdingTree(1) on task Supervised Data Stream Classification on data set vehicle_sensIT
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.889, f_measure: 0.8413, kappa: 0.6843, kb_relative_information_score: 54989.736, mean_absolute_error: 0.2371, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8495, predictive_accuracy: 0.8421, prior_entropy: 1, recall: 0.8421, relative_absolute_error: 0.4743, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3485, root_relative_squared_error: 0.697,
Jan van Rijn 10 years ago
ran flow moa.LeveragingBag_HoeffdingTree(1) on task Supervised Data Stream Classification on data set vehicle_sensIT
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.8514, kappa: 0.7039, kb_relative_information_score: 57485.4694, mean_absolute_error: 0.2235, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8574, predictive_accuracy: 0.852, prior_entropy: 1, recall: 0.852, relative_absolute_error: 0.447, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3345, root_relative_squared_error: 0.669,
Jan van Rijn 10 years ago
ran flow moa.kNN(1) on task Supervised Data Stream Classification on data set vehicle_sensIT
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8076, f_measure: 0.6992, kappa: 0.4266, kb_relative_information_score: 32570.0562, mean_absolute_error: 0.3469, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.7626, predictive_accuracy: 0.7133, prior_entropy: 1, recall: 0.7133, relative_absolute_error: 0.6938, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4364, root_relative_squared_error: 0.8729,
Jan van Rijn 10 years ago
ran flow moa.NaiveBayes(1) on task Supervised Data Stream Classification on data set vehicle_sensIT
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.815, f_measure: 0.8029, kappa: 0.6141, kb_relative_information_score: 60499.462, mean_absolute_error: 0.193, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8352, predictive_accuracy: 0.807, prior_entropy: 1, recall: 0.807, relative_absolute_error: 0.386, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4385, root_relative_squared_error: 0.8769,
Jan van Rijn 10 years ago
ran flow moa.HoeffdingTree(1) on task Supervised Data Stream Classification on data set vehicle_sensIT
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8309, f_measure: 0.833, kappa: 0.6671, kb_relative_information_score: 55910.7958, mean_absolute_error: 0.2296, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8383, predictive_accuracy: 0.8335, prior_entropy: 1, recall: 0.8335, relative_absolute_error: 0.4592, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3809, root_relative_squared_error: 0.7618,
Jan van Rijn 10 years ago
ran flow moa.SGD(1) on task Supervised Data Stream Classification on data set vehicle_sensIT
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8424, f_measure: 0.8418, kappa: 0.6847, kb_relative_information_score: 67464, mean_absolute_error: 0.1576, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8476, predictive_accuracy: 0.8424, prior_entropy: 1, recall: 0.8424, relative_absolute_error: 0.3153, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.397, root_relative_squared_error: 0.7941,

    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 vehicle_sensIT (1)
    target_feature Y

    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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