OpenML
Supervised Classification on electricity

Supervised Classification on electricity

Task 219 Supervised Classification electricity 77408 runs submitted
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  • at2 mythbusting_1 OpenML-CC18 OpenML100 study_1 study_123 study_14 study_15 study_20 study_41 study_7 study_70 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9586, f_measure: 0.8964, kappa: 0.7884, kb_relative_information_score: 0.6724, mean_absolute_error: 0.1711, mean_prior_absolute_error: 0.4886, weighted_recall: 0.8963, number_of_instances: 45312, precision: 0.8968, predictive_accuracy: 0.8963, prior_entropy: 0.9835, relative_absolute_error: 0.3501, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2796, root_relative_squared_error: 0.5657, unweighted_recall: 0.8955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9519, f_measure: 0.8779, kappa: 0.7497, kb_relative_information_score: 0.599, mean_absolute_error: 0.211, mean_prior_absolute_error: 0.4886, weighted_recall: 0.8782, number_of_instances: 45312, precision: 0.878, predictive_accuracy: 0.8782, prior_entropy: 0.9835, relative_absolute_error: 0.4317, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3001, root_relative_squared_error: 0.6072, unweighted_recall: 0.8733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, f_measure: 0.9091, kappa: 0.8136, kb_relative_information_score: 0.672, mean_absolute_error: 0.1757, mean_prior_absolute_error: 0.4886, weighted_recall: 0.9093, number_of_instances: 45312, precision: 0.9092, predictive_accuracy: 0.9093, prior_entropy: 0.9835, relative_absolute_error: 0.3596, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2634, root_relative_squared_error: 0.5329, unweighted_recall: 0.9052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8159, f_measure: 0.7489, kappa: 0.4834, kb_relative_information_score: 0.3331, mean_absolute_error: 0.3402, mean_prior_absolute_error: 0.4886, weighted_recall: 0.7546, number_of_instances: 45312, precision: 0.7564, predictive_accuracy: 0.7546, prior_entropy: 0.9835, relative_absolute_error: 0.6962, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4105, root_relative_squared_error: 0.8306, unweighted_recall: 0.7349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8161, f_measure: 0.7493, kappa: 0.4841, kb_relative_information_score: 0.338, mean_absolute_error: 0.3374, mean_prior_absolute_error: 0.4886, weighted_recall: 0.7546, number_of_instances: 45312, precision: 0.7559, predictive_accuracy: 0.7546, prior_entropy: 0.9835, relative_absolute_error: 0.6906, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8303, unweighted_recall: 0.7356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9262, kappa: 0.8489, kb_relative_information_score: 0.782, mean_absolute_error: 0.1138, mean_prior_absolute_error: 0.4886, weighted_recall: 0.9262, number_of_instances: 45312, precision: 0.9262, predictive_accuracy: 0.9262, prior_entropy: 0.9835, relative_absolute_error: 0.2329, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2339, root_relative_squared_error: 0.4733, unweighted_recall: 0.9242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9308, f_measure: 0.8527, kappa: 0.6978, kb_relative_information_score: 0.5262, mean_absolute_error: 0.2486, mean_prior_absolute_error: 0.4886, weighted_recall: 0.8533, number_of_instances: 45312, precision: 0.853, predictive_accuracy: 0.8533, prior_entropy: 0.9835, relative_absolute_error: 0.5088, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.6641, unweighted_recall: 0.8467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, f_measure: 0.8924, kappa: 0.7798, kb_relative_information_score: 0.7777, mean_absolute_error: 0.1075, mean_prior_absolute_error: 0.4886, weighted_recall: 0.8925, number_of_instances: 45312, precision: 0.8924, predictive_accuracy: 0.8925, prior_entropy: 0.9835, relative_absolute_error: 0.2201, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3279, root_relative_squared_error: 0.6635, unweighted_recall: 0.8898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8894, f_measure: 0.8917, kappa: 0.7785, kb_relative_information_score: 0.7762, mean_absolute_error: 0.1083, mean_prior_absolute_error: 0.4886, weighted_recall: 0.8917, number_of_instances: 45312, precision: 0.8918, predictive_accuracy: 0.8917, prior_entropy: 0.9835, relative_absolute_error: 0.2216, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.329, root_relative_squared_error: 0.6657, unweighted_recall: 0.8894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, f_measure: 0.9047, kappa: 0.8048, kb_relative_information_score: 0.6899, mean_absolute_error: 0.1636, mean_prior_absolute_error: 0.4886, weighted_recall: 0.9047, number_of_instances: 45312, precision: 0.9046, predictive_accuracy: 0.9047, prior_entropy: 0.9835, relative_absolute_error: 0.3348, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.266, root_relative_squared_error: 0.5383, unweighted_recall: 0.902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.924, kappa: 0.8445, kb_relative_information_score: 0.7737, mean_absolute_error: 0.1182, mean_prior_absolute_error: 0.4886, weighted_recall: 0.924, number_of_instances: 45312, precision: 0.924, predictive_accuracy: 0.924, prior_entropy: 0.9835, relative_absolute_error: 0.242, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2388, root_relative_squared_error: 0.4832, unweighted_recall: 0.922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.924, kappa: 0.8445, kb_relative_information_score: 0.7737, mean_absolute_error: 0.1182, mean_prior_absolute_error: 0.4886, weighted_recall: 0.924, number_of_instances: 45312, precision: 0.924, predictive_accuracy: 0.924, prior_entropy: 0.9835, relative_absolute_error: 0.242, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2388, root_relative_squared_error: 0.4832, unweighted_recall: 0.922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, f_measure: 0.9047, kappa: 0.8048, kb_relative_information_score: 0.6899, mean_absolute_error: 0.1636, mean_prior_absolute_error: 0.4886, weighted_recall: 0.9047, number_of_instances: 45312, precision: 0.9046, predictive_accuracy: 0.9047, prior_entropy: 0.9835, relative_absolute_error: 0.3348, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.266, root_relative_squared_error: 0.5383, unweighted_recall: 0.902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9137, f_measure: 0.8335, kappa: 0.6579, kb_relative_information_score: 0.4712, mean_absolute_error: 0.2761, mean_prior_absolute_error: 0.4886, weighted_recall: 0.8347, number_of_instances: 45312, precision: 0.8346, predictive_accuracy: 0.8347, prior_entropy: 0.9835, relative_absolute_error: 0.565, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3482, root_relative_squared_error: 0.7045, unweighted_recall: 0.8253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9262, kappa: 0.8489, kb_relative_information_score: 0.782, mean_absolute_error: 0.1138, mean_prior_absolute_error: 0.4886, weighted_recall: 0.9262, number_of_instances: 45312, precision: 0.9262, predictive_accuracy: 0.9262, prior_entropy: 0.9835, relative_absolute_error: 0.2329, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2339, root_relative_squared_error: 0.4733, unweighted_recall: 0.9242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.924, kappa: 0.8445, kb_relative_information_score: 0.7737, mean_absolute_error: 0.1182, mean_prior_absolute_error: 0.4886, weighted_recall: 0.924, number_of_instances: 45312, precision: 0.924, predictive_accuracy: 0.924, prior_entropy: 0.9835, relative_absolute_error: 0.242, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2388, root_relative_squared_error: 0.4832, unweighted_recall: 0.922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, f_measure: 0.9047, kappa: 0.8048, kb_relative_information_score: 0.6899, mean_absolute_error: 0.1636, mean_prior_absolute_error: 0.4886, weighted_recall: 0.9047, number_of_instances: 45312, precision: 0.9046, predictive_accuracy: 0.9047, prior_entropy: 0.9835, relative_absolute_error: 0.3348, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.266, root_relative_squared_error: 0.5383, unweighted_recall: 0.902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9284, f_measure: 0.8499, kappa: 0.692, kb_relative_information_score: 0.5183, mean_absolute_error: 0.2527, mean_prior_absolute_error: 0.4886, weighted_recall: 0.8505, number_of_instances: 45312, precision: 0.8502, predictive_accuracy: 0.8505, prior_entropy: 0.9835, relative_absolute_error: 0.5171, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3311, root_relative_squared_error: 0.67, unweighted_recall: 0.8436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9262, kappa: 0.8489, kb_relative_information_score: 0.782, mean_absolute_error: 0.1138, mean_prior_absolute_error: 0.4886, weighted_recall: 0.9262, number_of_instances: 45312, precision: 0.9262, predictive_accuracy: 0.9262, prior_entropy: 0.9835, relative_absolute_error: 0.2329, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2339, root_relative_squared_error: 0.4733, unweighted_recall: 0.9242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9262, kappa: 0.8489, kb_relative_information_score: 0.782, mean_absolute_error: 0.1138, mean_prior_absolute_error: 0.4886, weighted_recall: 0.9262, number_of_instances: 45312, precision: 0.9262, predictive_accuracy: 0.9262, prior_entropy: 0.9835, relative_absolute_error: 0.2329, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2339, root_relative_squared_error: 0.4733, unweighted_recall: 0.9242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9262, kappa: 0.8489, kb_relative_information_score: 0.782, mean_absolute_error: 0.1138, mean_prior_absolute_error: 0.4886, weighted_recall: 0.9262, number_of_instances: 45312, precision: 0.9262, predictive_accuracy: 0.9262, prior_entropy: 0.9835, relative_absolute_error: 0.2329, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2339, root_relative_squared_error: 0.4733, unweighted_recall: 0.9242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7354, f_measure: 0.7511, kappa: 0.4888, kb_relative_information_score: 0.5027, mean_absolute_error: 0.2406, mean_prior_absolute_error: 0.4886, weighted_recall: 0.7594, number_of_instances: 45312, precision: 0.7667, predictive_accuracy: 0.7594, prior_entropy: 0.9835, relative_absolute_error: 0.4923, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4905, root_relative_squared_error: 0.9923, unweighted_recall: 0.7354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7621, f_measure: 0.7754, kappa: 0.5378, kb_relative_information_score: 0.5449, mean_absolute_error: 0.2201, mean_prior_absolute_error: 0.4886, weighted_recall: 0.7799, number_of_instances: 45312, precision: 0.7821, predictive_accuracy: 0.7799, prior_entropy: 0.9835, relative_absolute_error: 0.4505, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4692, root_relative_squared_error: 0.9493, unweighted_recall: 0.7621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7671, f_measure: 0.7793, kappa: 0.5457, kb_relative_information_score: 0.5508, mean_absolute_error: 0.2173, mean_prior_absolute_error: 0.4886, weighted_recall: 0.7827, number_of_instances: 45312, precision: 0.7836, predictive_accuracy: 0.7827, prior_entropy: 0.9835, relative_absolute_error: 0.4447, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4661, root_relative_squared_error: 0.943, unweighted_recall: 0.7671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8143, f_measure: 0.8231, kappa: 0.6363, kb_relative_information_score: 0.6371, mean_absolute_error: 0.1756, mean_prior_absolute_error: 0.4886, weighted_recall: 0.8244, number_of_instances: 45312, precision: 0.8244, predictive_accuracy: 0.8244, prior_entropy: 0.9835, relative_absolute_error: 0.3593, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.419, root_relative_squared_error: 0.8477, unweighted_recall: 0.8143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.717, f_measure: 0.7338, kappa: 0.4579, kb_relative_information_score: 0.4808, mean_absolute_error: 0.2511, mean_prior_absolute_error: 0.4886, weighted_recall: 0.7489, number_of_instances: 45312, precision: 0.7691, predictive_accuracy: 0.7489, prior_entropy: 0.9835, relative_absolute_error: 0.514, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5011, root_relative_squared_error: 1.0139, unweighted_recall: 0.717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7577, f_measure: 0.7714, kappa: 0.5296, kb_relative_information_score: 0.5376, mean_absolute_error: 0.2236, mean_prior_absolute_error: 0.4886, weighted_recall: 0.7764, number_of_instances: 45312, precision: 0.7791, predictive_accuracy: 0.7764, prior_entropy: 0.9835, relative_absolute_error: 0.4577, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4729, root_relative_squared_error: 0.9568, unweighted_recall: 0.7577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7481, f_measure: 0.7631, kappa: 0.5128, kb_relative_information_score: 0.5238, mean_absolute_error: 0.2304, mean_prior_absolute_error: 0.4886, weighted_recall: 0.7696, number_of_instances: 45312, precision: 0.7748, predictive_accuracy: 0.7696, prior_entropy: 0.9835, relative_absolute_error: 0.4715, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.48, root_relative_squared_error: 0.971, unweighted_recall: 0.7481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7757, f_measure: 0.7874, kappa: 0.5625, kb_relative_information_score: 0.5668, mean_absolute_error: 0.2095, mean_prior_absolute_error: 0.4886, weighted_recall: 0.7905, number_of_instances: 45312, precision: 0.7913, predictive_accuracy: 0.7905, prior_entropy: 0.9835, relative_absolute_error: 0.4288, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4577, root_relative_squared_error: 0.9261, unweighted_recall: 0.7757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5019, f_measure: 0.4241, kappa: 0.0045, kb_relative_information_score: 0.1257, mean_absolute_error: 0.4229, mean_prior_absolute_error: 0.4886, weighted_recall: 0.5771, number_of_instances: 45312, precision: 0.7562, predictive_accuracy: 0.5771, prior_entropy: 0.9835, relative_absolute_error: 0.8655, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.6503, root_relative_squared_error: 1.3157, unweighted_recall: 0.5019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7512, f_measure: 0.7654, kappa: 0.5174, kb_relative_information_score: 0.5265, mean_absolute_error: 0.229, mean_prior_absolute_error: 0.4886, weighted_recall: 0.771, number_of_instances: 45312, precision: 0.7743, predictive_accuracy: 0.771, prior_entropy: 0.9835, relative_absolute_error: 0.4687, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4786, root_relative_squared_error: 0.9682, unweighted_recall: 0.7512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7397, f_measure: 0.7543, kappa: 0.4946, kb_relative_information_score: 0.5052, mean_absolute_error: 0.2393, mean_prior_absolute_error: 0.4886, weighted_recall: 0.7607, number_of_instances: 45312, precision: 0.7642, predictive_accuracy: 0.7607, prior_entropy: 0.9835, relative_absolute_error: 0.4898, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4892, root_relative_squared_error: 0.9898, unweighted_recall: 0.7397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7665, f_measure: 0.779, kappa: 0.5451, kb_relative_information_score: 0.5507, mean_absolute_error: 0.2173, mean_prior_absolute_error: 0.4886, weighted_recall: 0.7827, number_of_instances: 45312, precision: 0.784, predictive_accuracy: 0.7827, prior_entropy: 0.9835, relative_absolute_error: 0.4448, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4662, root_relative_squared_error: 0.9431, unweighted_recall: 0.7665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7287, f_measure: 0.7441, kappa: 0.4743, kb_relative_information_score: 0.4881, mean_absolute_error: 0.2476, mean_prior_absolute_error: 0.4886, weighted_recall: 0.7524, number_of_instances: 45312, precision: 0.7581, predictive_accuracy: 0.7524, prior_entropy: 0.9835, relative_absolute_error: 0.5068, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4976, root_relative_squared_error: 1.0068, unweighted_recall: 0.7287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7869, f_measure: 0.7978, kappa: 0.5838, kb_relative_information_score: 0.5868, mean_absolute_error: 0.1999, mean_prior_absolute_error: 0.4886, weighted_recall: 0.8001, number_of_instances: 45312, precision: 0.8005, predictive_accuracy: 0.8001, prior_entropy: 0.9835, relative_absolute_error: 0.409, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4471, root_relative_squared_error: 0.9045, unweighted_recall: 0.7869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.773, f_measure: 0.7848, kappa: 0.5571, kb_relative_information_score: 0.5615, mean_absolute_error: 0.2121, mean_prior_absolute_error: 0.4886, weighted_recall: 0.7879, number_of_instances: 45312, precision: 0.7886, predictive_accuracy: 0.7879, prior_entropy: 0.9835, relative_absolute_error: 0.4341, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4606, root_relative_squared_error: 0.9318, unweighted_recall: 0.773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7558, f_measure: 0.7697, kappa: 0.5262, kb_relative_information_score: 0.5347, mean_absolute_error: 0.2251, mean_prior_absolute_error: 0.4886, weighted_recall: 0.7749, number_of_instances: 45312, precision: 0.7781, predictive_accuracy: 0.7749, prior_entropy: 0.9835, relative_absolute_error: 0.4607, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4744, root_relative_squared_error: 0.9599, unweighted_recall: 0.7558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7694, f_measure: 0.7816, kappa: 0.5504, kb_relative_information_score: 0.5554, mean_absolute_error: 0.215, mean_prior_absolute_error: 0.4886, weighted_recall: 0.785, number_of_instances: 45312, precision: 0.7859, predictive_accuracy: 0.785, prior_entropy: 0.9835, relative_absolute_error: 0.4401, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4637, root_relative_squared_error: 0.9382, unweighted_recall: 0.7694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7462, f_measure: 0.761, kappa: 0.5084, kb_relative_information_score: 0.5191, mean_absolute_error: 0.2326, mean_prior_absolute_error: 0.4886, weighted_recall: 0.7674, number_of_instances: 45312, precision: 0.772, predictive_accuracy: 0.7674, prior_entropy: 0.9835, relative_absolute_error: 0.4761, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4823, root_relative_squared_error: 0.9758, unweighted_recall: 0.7462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7576, f_measure: 0.7714, kappa: 0.5296, kb_relative_information_score: 0.5377, mean_absolute_error: 0.2236, mean_prior_absolute_error: 0.4886, weighted_recall: 0.7764, number_of_instances: 45312, precision: 0.7794, predictive_accuracy: 0.7764, prior_entropy: 0.9835, relative_absolute_error: 0.4576, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4729, root_relative_squared_error: 0.9567, unweighted_recall: 0.7576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8081, f_measure: 0.8178, kappa: 0.6253, kb_relative_information_score: 0.627, mean_absolute_error: 0.1804, mean_prior_absolute_error: 0.4886, weighted_recall: 0.8196, number_of_instances: 45312, precision: 0.8199, predictive_accuracy: 0.8196, prior_entropy: 0.9835, relative_absolute_error: 0.3693, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4248, root_relative_squared_error: 0.8594, unweighted_recall: 0.8081,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9262, kappa: 0.8489, kb_relative_information_score: 0.782, mean_absolute_error: 0.1138, mean_prior_absolute_error: 0.4886, weighted_recall: 0.9262, number_of_instances: 45312, precision: 0.9262, predictive_accuracy: 0.9262, prior_entropy: 0.9835, relative_absolute_error: 0.2329, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2339, root_relative_squared_error: 0.4733, unweighted_recall: 0.9242,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7528, f_measure: 0.767, kappa: 0.5206, kb_relative_information_score: 0.5296, mean_absolute_error: 0.2276, mean_prior_absolute_error: 0.4886, weighted_recall: 0.7724, number_of_instances: 45312, precision: 0.7758, predictive_accuracy: 0.7724, prior_entropy: 0.9835, relative_absolute_error: 0.4657, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.477, root_relative_squared_error: 0.9651, unweighted_recall: 0.7528,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8583, f_measure: 0.7835, kappa: 0.5545, kb_relative_information_score: 0.4145, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4886, weighted_recall: 0.7862, number_of_instances: 45312, precision: 0.7862, predictive_accuracy: 0.7862, prior_entropy: 0.9835, relative_absolute_error: 0.6141, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3866, root_relative_squared_error: 0.7822, unweighted_recall: 0.7723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8823, f_measure: 0.8053, kappa: 0.5995, kb_relative_information_score: 0.4717, mean_absolute_error: 0.2729, mean_prior_absolute_error: 0.4886, weighted_recall: 0.8072, number_of_instances: 45312, precision: 0.8072, predictive_accuracy: 0.8072, prior_entropy: 0.9835, relative_absolute_error: 0.5584, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3695, root_relative_squared_error: 0.7475, unweighted_recall: 0.7953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8145, f_measure: 0.7536, kappa: 0.4928, kb_relative_information_score: 0.3404, mean_absolute_error: 0.3351, mean_prior_absolute_error: 0.4886, weighted_recall: 0.757, number_of_instances: 45312, precision: 0.7564, predictive_accuracy: 0.757, prior_entropy: 0.9835, relative_absolute_error: 0.6859, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4114, root_relative_squared_error: 0.8324, unweighted_recall: 0.7416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8928, f_measure: 0.8125, kappa: 0.6145, kb_relative_information_score: 0.4908, mean_absolute_error: 0.2622, mean_prior_absolute_error: 0.4886, weighted_recall: 0.8139, number_of_instances: 45312, precision: 0.8137, predictive_accuracy: 0.8139, prior_entropy: 0.9835, relative_absolute_error: 0.5366, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.731, unweighted_recall: 0.8035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8928, f_measure: 0.8125, kappa: 0.6145, kb_relative_information_score: 0.4908, mean_absolute_error: 0.2622, mean_prior_absolute_error: 0.4886, weighted_recall: 0.8139, number_of_instances: 45312, precision: 0.8137, predictive_accuracy: 0.8139, prior_entropy: 0.9835, relative_absolute_error: 0.5366, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.731, unweighted_recall: 0.8035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8677, f_measure: 0.7907, kappa: 0.5694, kb_relative_information_score: 0.4318, mean_absolute_error: 0.2917, mean_prior_absolute_error: 0.4886, weighted_recall: 0.7931, number_of_instances: 45312, precision: 0.7931, predictive_accuracy: 0.7931, prior_entropy: 0.9835, relative_absolute_error: 0.597, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3802, root_relative_squared_error: 0.7692, unweighted_recall: 0.78,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8285, f_measure: 0.7598, kappa: 0.5056, kb_relative_information_score: 0.3643, mean_absolute_error: 0.3243, mean_prior_absolute_error: 0.4886, weighted_recall: 0.7642, number_of_instances: 45312, precision: 0.765, predictive_accuracy: 0.7642, prior_entropy: 0.9835, relative_absolute_error: 0.6638, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4038, root_relative_squared_error: 0.8169, unweighted_recall: 0.7468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9282, f_measure: 0.8587, kappa: 0.7102, kb_relative_information_score: 0.5908, mean_absolute_error: 0.2129, mean_prior_absolute_error: 0.4886, weighted_recall: 0.8592, number_of_instances: 45312, precision: 0.8589, predictive_accuracy: 0.8592, prior_entropy: 0.9835, relative_absolute_error: 0.4356, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3215, root_relative_squared_error: 0.6504, unweighted_recall: 0.8532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8804, f_measure: 0.8021, kappa: 0.5931, kb_relative_information_score: 0.4615, mean_absolute_error: 0.2769, mean_prior_absolute_error: 0.4886, weighted_recall: 0.8039, number_of_instances: 45312, precision: 0.8036, predictive_accuracy: 0.8039, prior_entropy: 0.9835, relative_absolute_error: 0.5666, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3713, root_relative_squared_error: 0.7511, unweighted_recall: 0.7925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7899, f_measure: 0.741, kappa: 0.4672, kb_relative_information_score: 0.325, mean_absolute_error: 0.3411, mean_prior_absolute_error: 0.4886, weighted_recall: 0.7435, number_of_instances: 45312, precision: 0.7419, predictive_accuracy: 0.7435, prior_entropy: 0.9835, relative_absolute_error: 0.6981, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4257, root_relative_squared_error: 0.8613, unweighted_recall: 0.7302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8307, f_measure: 0.7606, kappa: 0.5072, kb_relative_information_score: 0.3665, mean_absolute_error: 0.3232, mean_prior_absolute_error: 0.4886, weighted_recall: 0.7648, number_of_instances: 45312, precision: 0.7656, predictive_accuracy: 0.7648, prior_entropy: 0.9835, relative_absolute_error: 0.6615, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4027, root_relative_squared_error: 0.8147, unweighted_recall: 0.7477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7191, f_measure: 0.6176, kappa: 0.2256, kb_relative_information_score: 0.17, mean_absolute_error: 0.4113, mean_prior_absolute_error: 0.4886, weighted_recall: 0.6439, number_of_instances: 45312, precision: 0.6445, predictive_accuracy: 0.6439, prior_entropy: 0.9835, relative_absolute_error: 0.8418, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4623, root_relative_squared_error: 0.9352, unweighted_recall: 0.6061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8711, f_measure: 0.7945, kappa: 0.5772, kb_relative_information_score: 0.4431, mean_absolute_error: 0.2862, mean_prior_absolute_error: 0.4886, weighted_recall: 0.7968, number_of_instances: 45312, precision: 0.7969, predictive_accuracy: 0.7968, prior_entropy: 0.9835, relative_absolute_error: 0.5858, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3779, root_relative_squared_error: 0.7645, unweighted_recall: 0.7839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, f_measure: 0.8561, kappa: 0.7049, kb_relative_information_score: 0.5707, mean_absolute_error: 0.2234, mean_prior_absolute_error: 0.4886, weighted_recall: 0.8564, number_of_instances: 45312, precision: 0.8561, predictive_accuracy: 0.8564, prior_entropy: 0.9835, relative_absolute_error: 0.4572, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3275, root_relative_squared_error: 0.6626, unweighted_recall: 0.851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9247, f_measure: 0.8541, kappa: 0.7007, kb_relative_information_score: 0.588, mean_absolute_error: 0.2144, mean_prior_absolute_error: 0.4886, weighted_recall: 0.8545, number_of_instances: 45312, precision: 0.8542, predictive_accuracy: 0.8545, prior_entropy: 0.9835, relative_absolute_error: 0.4387, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3256, root_relative_squared_error: 0.6588, unweighted_recall: 0.8484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8633, f_measure: 0.7867, kappa: 0.5611, kb_relative_information_score: 0.4235, mean_absolute_error: 0.2958, mean_prior_absolute_error: 0.4886, weighted_recall: 0.7893, number_of_instances: 45312, precision: 0.7895, predictive_accuracy: 0.7893, prior_entropy: 0.9835, relative_absolute_error: 0.6055, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3832, root_relative_squared_error: 0.7753, unweighted_recall: 0.7756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8781, f_measure: 0.801, kappa: 0.5907, kb_relative_information_score: 0.4594, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.4886, weighted_recall: 0.8031, number_of_instances: 45312, precision: 0.8031, predictive_accuracy: 0.8031, prior_entropy: 0.9835, relative_absolute_error: 0.5698, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.7545, unweighted_recall: 0.7908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8529, f_measure: 0.7794, kappa: 0.5461, kb_relative_information_score: 0.4025, mean_absolute_error: 0.3056, mean_prior_absolute_error: 0.4886, weighted_recall: 0.7822, number_of_instances: 45312, precision: 0.7822, predictive_accuracy: 0.7822, prior_entropy: 0.9835, relative_absolute_error: 0.6254, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3902, root_relative_squared_error: 0.7894, unweighted_recall: 0.7681,

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

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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Use one of our APIs to download data from OpenML and upload your results

OpenML APIs