OpenML
Supervised Data Stream Classification on BNG(solar-flare)

Supervised Data Stream Classification on BNG(solar-flare)

Task 6704 Supervised Data Stream Classification BNG(solar-flare) 292 runs submitted
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  • ecmlpkdd2015 streamensembles streams study_11 study_16
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.842, f_measure: 0.7398, kappa: 0.6719, kb_relative_information_score: 718186.3425, mean_absolute_error: 0.0853, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7443, predictive_accuracy: 0.7442, prior_entropy: 2.585, recall: 0.7442, relative_absolute_error: 0.3069, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.292, root_relative_squared_error: 0.7835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8601, f_measure: 0.7643, kappa: 0.7109, kb_relative_information_score: 752893.8474, mean_absolute_error: 0.0748, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7676, predictive_accuracy: 0.7757, prior_entropy: 2.585, recall: 0.7757, relative_absolute_error: 0.2691, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2734, root_relative_squared_error: 0.7337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8601, f_measure: 0.7643, kappa: 0.7109, kb_relative_information_score: 752900.4579, mean_absolute_error: 0.0748, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7676, predictive_accuracy: 0.7757, prior_entropy: 2.585, recall: 0.7757, relative_absolute_error: 0.2691, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2734, root_relative_squared_error: 0.7337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8601, f_measure: 0.7643, kappa: 0.7109, kb_relative_information_score: 752924.6965, mean_absolute_error: 0.0748, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7676, predictive_accuracy: 0.7757, prior_entropy: 2.585, recall: 0.7757, relative_absolute_error: 0.2691, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2734, root_relative_squared_error: 0.7336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8601, f_measure: 0.7643, kappa: 0.7109, kb_relative_information_score: 752940.1211, mean_absolute_error: 0.0747, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7677, predictive_accuracy: 0.7758, prior_entropy: 2.585, recall: 0.7758, relative_absolute_error: 0.2691, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2734, root_relative_squared_error: 0.7336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8603, f_measure: 0.7645, kappa: 0.7116, kb_relative_information_score: 753608.8868, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7686, predictive_accuracy: 0.7764, prior_entropy: 2.585, recall: 0.7764, relative_absolute_error: 0.2684, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.273, root_relative_squared_error: 0.7326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8603, f_measure: 0.7644, kappa: 0.7115, kb_relative_information_score: 753567.0201, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7685, predictive_accuracy: 0.7763, prior_entropy: 2.585, recall: 0.7763, relative_absolute_error: 0.2684, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2731, root_relative_squared_error: 0.7327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8603, f_measure: 0.7644, kappa: 0.7115, kb_relative_information_score: 753559.3078, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7685, predictive_accuracy: 0.7763, prior_entropy: 2.585, recall: 0.7763, relative_absolute_error: 0.2684, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2731, root_relative_squared_error: 0.7327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8604, f_measure: 0.7645, kappa: 0.7118, kb_relative_information_score: 753866.6976, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.769, predictive_accuracy: 0.7766, prior_entropy: 2.585, recall: 0.7766, relative_absolute_error: 0.2681, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2729, root_relative_squared_error: 0.7322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8586, f_measure: 0.7622, kappa: 0.7074, kb_relative_information_score: 749782.4896, mean_absolute_error: 0.0757, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7639, predictive_accuracy: 0.7729, prior_entropy: 2.585, recall: 0.7729, relative_absolute_error: 0.2725, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2751, root_relative_squared_error: 0.7383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8471, f_measure: 0.7445, kappa: 0.6842, kb_relative_information_score: 730277.0085, mean_absolute_error: 0.0816, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7496, predictive_accuracy: 0.7552, prior_entropy: 2.585, recall: 0.7552, relative_absolute_error: 0.2938, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2857, root_relative_squared_error: 0.7665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8604, f_measure: 0.7644, kappa: 0.7118, kb_relative_information_score: 753849.0695, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.769, predictive_accuracy: 0.7766, prior_entropy: 2.585, recall: 0.7766, relative_absolute_error: 0.2681, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2729, root_relative_squared_error: 0.7323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8604, f_measure: 0.7644, kappa: 0.7118, kb_relative_information_score: 753849.0695, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.769, predictive_accuracy: 0.7766, prior_entropy: 2.585, recall: 0.7766, relative_absolute_error: 0.2681, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2729, root_relative_squared_error: 0.7323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8571, f_measure: 0.7618, kappa: 0.7021, kb_relative_information_score: 743982.8481, mean_absolute_error: 0.0775, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7603, predictive_accuracy: 0.7676, prior_entropy: 2.585, recall: 0.7676, relative_absolute_error: 0.2788, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2783, root_relative_squared_error: 0.7468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8571, f_measure: 0.7618, kappa: 0.702, kb_relative_information_score: 743956.406, mean_absolute_error: 0.0775, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7602, predictive_accuracy: 0.7676, prior_entropy: 2.585, recall: 0.7676, relative_absolute_error: 0.2789, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2783, root_relative_squared_error: 0.7468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8603, f_measure: 0.7644, kappa: 0.7115, kb_relative_information_score: 753571.4271, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7685, predictive_accuracy: 0.7763, prior_entropy: 2.585, recall: 0.7763, relative_absolute_error: 0.2684, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2731, root_relative_squared_error: 0.7327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8571, f_measure: 0.7617, kappa: 0.702, kb_relative_information_score: 743893.6059, mean_absolute_error: 0.0775, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7601, predictive_accuracy: 0.7675, prior_entropy: 2.585, recall: 0.7675, relative_absolute_error: 0.2789, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2784, root_relative_squared_error: 0.7469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8592, f_measure: 0.7632, kappa: 0.7079, kb_relative_information_score: 749962.0757, mean_absolute_error: 0.0756, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7636, predictive_accuracy: 0.7731, prior_entropy: 2.585, recall: 0.7731, relative_absolute_error: 0.2723, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.275, root_relative_squared_error: 0.738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.857, f_measure: 0.7577, kappa: 0.705, kb_relative_information_score: 748233.4212, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.761, predictive_accuracy: 0.7715, prior_entropy: 2.585, recall: 0.7715, relative_absolute_error: 0.2742, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.276, root_relative_squared_error: 0.7406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8587, f_measure: 0.7617, kappa: 0.7076, kb_relative_information_score: 750016.0618, mean_absolute_error: 0.0756, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7633, predictive_accuracy: 0.7731, prior_entropy: 2.585, recall: 0.7731, relative_absolute_error: 0.2723, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.275, root_relative_squared_error: 0.7379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8572, f_measure: 0.7618, kappa: 0.7021, kb_relative_information_score: 743986.1534, mean_absolute_error: 0.0775, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7603, predictive_accuracy: 0.7676, prior_entropy: 2.585, recall: 0.7676, relative_absolute_error: 0.2788, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2783, root_relative_squared_error: 0.7468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8572, f_measure: 0.7618, kappa: 0.7021, kb_relative_information_score: 743986.1534, mean_absolute_error: 0.0775, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7603, predictive_accuracy: 0.7676, prior_entropy: 2.585, recall: 0.7676, relative_absolute_error: 0.2788, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2783, root_relative_squared_error: 0.7468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8585, f_measure: 0.7609, kappa: 0.7075, kb_relative_information_score: 750176.9181, mean_absolute_error: 0.0756, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7638, predictive_accuracy: 0.7733, prior_entropy: 2.585, recall: 0.7733, relative_absolute_error: 0.2721, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2749, root_relative_squared_error: 0.7377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8572, f_measure: 0.7618, kappa: 0.7021, kb_relative_information_score: 743985.0516, mean_absolute_error: 0.0775, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7603, predictive_accuracy: 0.7676, prior_entropy: 2.585, recall: 0.7676, relative_absolute_error: 0.2788, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2783, root_relative_squared_error: 0.7468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8572, f_measure: 0.7618, kappa: 0.7021, kb_relative_information_score: 743986.1534, mean_absolute_error: 0.0775, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7603, predictive_accuracy: 0.7676, prior_entropy: 2.585, recall: 0.7676, relative_absolute_error: 0.2788, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2783, root_relative_squared_error: 0.7468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8572, f_measure: 0.7618, kappa: 0.7021, kb_relative_information_score: 743986.1534, mean_absolute_error: 0.0775, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7603, predictive_accuracy: 0.7676, prior_entropy: 2.585, recall: 0.7676, relative_absolute_error: 0.2788, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2783, root_relative_squared_error: 0.7468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8572, f_measure: 0.7618, kappa: 0.7021, kb_relative_information_score: 743986.1534, mean_absolute_error: 0.0775, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7603, predictive_accuracy: 0.7676, prior_entropy: 2.585, recall: 0.7676, relative_absolute_error: 0.2788, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2783, root_relative_squared_error: 0.7468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8602, f_measure: 0.7642, kappa: 0.7114, kb_relative_information_score: 753420.4866, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7683, predictive_accuracy: 0.7762, prior_entropy: 2.585, recall: 0.7762, relative_absolute_error: 0.2686, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2731, root_relative_squared_error: 0.7329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8603, f_measure: 0.7644, kappa: 0.7115, kb_relative_information_score: 753571.4271, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7685, predictive_accuracy: 0.7763, prior_entropy: 2.585, recall: 0.7763, relative_absolute_error: 0.2684, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2731, root_relative_squared_error: 0.7327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8572, f_measure: 0.7618, kappa: 0.7021, kb_relative_information_score: 743986.1534, mean_absolute_error: 0.0775, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7603, predictive_accuracy: 0.7676, prior_entropy: 2.585, recall: 0.7676, relative_absolute_error: 0.2788, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2783, root_relative_squared_error: 0.7468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8961, f_measure: 0.7465, kappa: 0.6945, kb_relative_information_score: 641068.9866, mean_absolute_error: 0.1323, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7672, predictive_accuracy: 0.7638, prior_entropy: 2.585, recall: 0.7638, relative_absolute_error: 0.4764, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2607, root_relative_squared_error: 0.6996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8603, f_measure: 0.7644, kappa: 0.7115, kb_relative_information_score: 753570.3253, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7685, predictive_accuracy: 0.7763, prior_entropy: 2.585, recall: 0.7763, relative_absolute_error: 0.2684, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2731, root_relative_squared_error: 0.7327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8812, f_measure: 0.7629, kappa: 0.7101, kb_relative_information_score: 744463.4827, mean_absolute_error: 0.0839, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7676, predictive_accuracy: 0.7753, prior_entropy: 2.585, recall: 0.7753, relative_absolute_error: 0.3022, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2578, root_relative_squared_error: 0.6919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8957, f_measure: 0.7642, kappa: 0.712, kb_relative_information_score: 729629.9206, mean_absolute_error: 0.0913, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7712, predictive_accuracy: 0.7769, prior_entropy: 2.585, recall: 0.7769, relative_absolute_error: 0.3287, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2525, root_relative_squared_error: 0.6775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8598, f_measure: 0.7631, kappa: 0.7106, kb_relative_information_score: 752944.5281, mean_absolute_error: 0.0747, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7678, predictive_accuracy: 0.7758, prior_entropy: 2.585, recall: 0.7758, relative_absolute_error: 0.2691, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2734, root_relative_squared_error: 0.7336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8603, f_measure: 0.7644, kappa: 0.7115, kb_relative_information_score: 753570.3253, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7685, predictive_accuracy: 0.7763, prior_entropy: 2.585, recall: 0.7763, relative_absolute_error: 0.2684, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2731, root_relative_squared_error: 0.7327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8604, f_measure: 0.7644, kappa: 0.7118, kb_relative_information_score: 753850.1712, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.769, predictive_accuracy: 0.7766, prior_entropy: 2.585, recall: 0.7766, relative_absolute_error: 0.2681, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2729, root_relative_squared_error: 0.7323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.7644, kappa: 0.7115, kb_relative_information_score: 756726.689, mean_absolute_error: 0.076, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7685, predictive_accuracy: 0.7763, prior_entropy: 2.585, recall: 0.7763, relative_absolute_error: 0.2735, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2658, root_relative_squared_error: 0.7132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8758, f_measure: 0.7631, kappa: 0.7102, kb_relative_information_score: 753789.4133, mean_absolute_error: 0.0788, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7669, predictive_accuracy: 0.7753, prior_entropy: 2.585, recall: 0.7753, relative_absolute_error: 0.2838, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2605, root_relative_squared_error: 0.6989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8957, f_measure: 0.7634, kappa: 0.7113, kb_relative_information_score: 705842.7997, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7706, predictive_accuracy: 0.7765, prior_entropy: 2.585, recall: 0.7765, relative_absolute_error: 0.3685, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2511, root_relative_squared_error: 0.6736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8967, f_measure: 0.7625, kappa: 0.7106, kb_relative_information_score: 689403.5225, mean_absolute_error: 0.1113, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7702, predictive_accuracy: 0.7759, prior_entropy: 2.585, recall: 0.7759, relative_absolute_error: 0.4008, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.251, root_relative_squared_error: 0.6735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8756, f_measure: 0.7597, kappa: 0.7075, kb_relative_information_score: 753649.9201, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7649, predictive_accuracy: 0.7733, prior_entropy: 2.585, recall: 0.7733, relative_absolute_error: 0.2841, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2605, root_relative_squared_error: 0.699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.762, kappa: 0.7099, kb_relative_information_score: 756697.7562, mean_absolute_error: 0.076, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7677, predictive_accuracy: 0.7752, prior_entropy: 2.585, recall: 0.7752, relative_absolute_error: 0.2735, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2658, root_relative_squared_error: 0.7132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8603, f_measure: 0.7644, kappa: 0.7115, kb_relative_information_score: 753570.3253, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7685, predictive_accuracy: 0.7763, prior_entropy: 2.585, recall: 0.7763, relative_absolute_error: 0.2684, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2731, root_relative_squared_error: 0.7327,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8954, f_measure: 0.7617, kappa: 0.7114, kb_relative_information_score: 728036.397, mean_absolute_error: 0.093, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7786, predictive_accuracy: 0.7769, prior_entropy: 2.585, recall: 0.7769, relative_absolute_error: 0.3348, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.253, root_relative_squared_error: 0.6789,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8604, f_measure: 0.7644, kappa: 0.7118, kb_relative_information_score: 753852.3748, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.769, predictive_accuracy: 0.7766, prior_entropy: 2.585, recall: 0.7766, relative_absolute_error: 0.2681, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2729, root_relative_squared_error: 0.7323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8604, f_measure: 0.7644, kappa: 0.7118, kb_relative_information_score: 753852.3748, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.769, predictive_accuracy: 0.7766, prior_entropy: 2.585, recall: 0.7766, relative_absolute_error: 0.2681, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2729, root_relative_squared_error: 0.7323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8604, f_measure: 0.7644, kappa: 0.7118, kb_relative_information_score: 753852.3748, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.769, predictive_accuracy: 0.7766, prior_entropy: 2.585, recall: 0.7766, relative_absolute_error: 0.2681, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2729, root_relative_squared_error: 0.7323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8604, f_measure: 0.7644, kappa: 0.7118, kb_relative_information_score: 753853.4765, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.769, predictive_accuracy: 0.7766, prior_entropy: 2.585, recall: 0.7766, relative_absolute_error: 0.2681, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2729, root_relative_squared_error: 0.7323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9427, f_measure: 0.7644, kappa: 0.7118, kb_relative_information_score: 720366.6209, mean_absolute_error: 0.1013, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.769, predictive_accuracy: 0.7766, prior_entropy: 2.585, recall: 0.7766, relative_absolute_error: 0.3645, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.226, root_relative_squared_error: 0.6065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8953, f_measure: 0.7524, kappa: 0.6998, kb_relative_information_score: 676952.5082, mean_absolute_error: 0.1201, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7682, predictive_accuracy: 0.7676, prior_entropy: 2.585, recall: 0.7676, relative_absolute_error: 0.4322, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2587, root_relative_squared_error: 0.6943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9284, f_measure: 0.7281, kappa: 0.6777, kb_relative_information_score: 682408.956, mean_absolute_error: 0.114, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7333, predictive_accuracy: 0.7512, prior_entropy: 2.585, recall: 0.7512, relative_absolute_error: 0.4104, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2381, root_relative_squared_error: 0.639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, f_measure: 0.3937, kappa: 0.2691, kb_relative_information_score: 367711.8882, mean_absolute_error: 0.2164, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.4435, predictive_accuracy: 0.4594, prior_entropy: 2.585, recall: 0.4594, relative_absolute_error: 0.7791, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3234, root_relative_squared_error: 0.8679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0333, kb_relative_information_score: 49977.0809, mean_absolute_error: 0.2874, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.019, predictive_accuracy: 0.1377, prior_entropy: 2.585, recall: 0.1377, relative_absolute_error: 1.0347, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.5361, root_relative_squared_error: 1.4386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9427, f_measure: 0.7644, kappa: 0.7118, kb_relative_information_score: 720366.6209, mean_absolute_error: 0.1013, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.769, predictive_accuracy: 0.7766, prior_entropy: 2.585, recall: 0.7766, relative_absolute_error: 0.3645, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.226, root_relative_squared_error: 0.6065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9364, f_measure: 0.7567, kappa: 0.6969, kb_relative_information_score: 612513.457, mean_absolute_error: 0.1453, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.755, predictive_accuracy: 0.7637, prior_entropy: 2.585, recall: 0.7637, relative_absolute_error: 0.523, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2443, root_relative_squared_error: 0.6554,

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

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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