OpenML
Supervised Classification on higgs

Supervised Classification on higgs

Task 146606 Supervised Classification higgs 14279 runs submitted
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14279 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7985, f_measure: 0.7204, kappa: 0.439, kb_relative_information_score: 26105.6313, mean_absolute_error: 0.3799, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7204, predictive_accuracy: 0.7204, prior_entropy: 0.9976, recall: 0.7204, relative_absolute_error: 0.7622, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4284, root_relative_squared_error: 0.8581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7848, f_measure: 0.708, kappa: 0.414, kb_relative_information_score: 27768.4004, mean_absolute_error: 0.369, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.708, predictive_accuracy: 0.7081, prior_entropy: 0.9976, recall: 0.7081, relative_absolute_error: 0.7405, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4344, root_relative_squared_error: 0.8702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7978, f_measure: 0.7192, kappa: 0.4364, kb_relative_information_score: 27350.7182, mean_absolute_error: 0.3729, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7191, predictive_accuracy: 0.7192, prior_entropy: 0.9976, recall: 0.7192, relative_absolute_error: 0.7482, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4279, root_relative_squared_error: 0.8572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6199, f_measure: 0.5873, kappa: 0.1718, kb_relative_information_score: 6776.7919, mean_absolute_error: 0.4693, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.5873, predictive_accuracy: 0.5873, prior_entropy: 0.9976, recall: 0.5873, relative_absolute_error: 0.9417, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4874, root_relative_squared_error: 0.9764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7505, f_measure: 0.6724, kappa: 0.3438, kb_relative_information_score: 1316.2635, mean_absolute_error: 0.4937, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6774, predictive_accuracy: 0.6759, prior_entropy: 0.9976, recall: 0.6759, relative_absolute_error: 0.9906, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4939, root_relative_squared_error: 0.9893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7992, f_measure: 0.7196, kappa: 0.4373, kb_relative_information_score: 27068.7514, mean_absolute_error: 0.3746, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7196, predictive_accuracy: 0.7197, prior_entropy: 0.9976, recall: 0.7197, relative_absolute_error: 0.7517, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4274, root_relative_squared_error: 0.8563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7966, f_measure: 0.7184, kappa: 0.4349, kb_relative_information_score: 26584.0047, mean_absolute_error: 0.377, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7184, predictive_accuracy: 0.7184, prior_entropy: 0.9976, recall: 0.7184, relative_absolute_error: 0.7565, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4288, root_relative_squared_error: 0.8591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7768, f_measure: 0.7034, kappa: 0.4051, kb_relative_information_score: 1826.3099, mean_absolute_error: 0.4918, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7036, predictive_accuracy: 0.7033, prior_entropy: 0.9976, recall: 0.7033, relative_absolute_error: 0.9868, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4921, root_relative_squared_error: 0.9858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7972, f_measure: 0.7185, kappa: 0.4352, kb_relative_information_score: 26470.1138, mean_absolute_error: 0.3777, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7185, predictive_accuracy: 0.7185, prior_entropy: 0.9976, recall: 0.7185, relative_absolute_error: 0.7578, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4286, root_relative_squared_error: 0.8587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7882, f_measure: 0.7106, kappa: 0.4191, kb_relative_information_score: 27624.8282, mean_absolute_error: 0.3703, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7105, predictive_accuracy: 0.7107, prior_entropy: 0.9976, recall: 0.7107, relative_absolute_error: 0.743, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4325, root_relative_squared_error: 0.8664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7224, f_measure: 0.642, kappa: 0.2837, kb_relative_information_score: 1597.6808, mean_absolute_error: 0.4927, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6477, predictive_accuracy: 0.6467, prior_entropy: 0.9976, recall: 0.6467, relative_absolute_error: 0.9887, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.493, root_relative_squared_error: 0.9877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7953, f_measure: 0.719, kappa: 0.436, kb_relative_information_score: 26044.2425, mean_absolute_error: 0.3796, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7189, predictive_accuracy: 0.719, prior_entropy: 0.9976, recall: 0.719, relative_absolute_error: 0.7617, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4301, root_relative_squared_error: 0.8615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.768, f_measure: 0.6956, kappa: 0.3887, kb_relative_information_score: -269.3326, mean_absolute_error: 0.4993, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6956, predictive_accuracy: 0.696, prior_entropy: 0.9976, recall: 0.696, relative_absolute_error: 1.0018, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4993, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7994, f_measure: 0.7205, kappa: 0.439, kb_relative_information_score: 25075.4163, mean_absolute_error: 0.3856, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7204, predictive_accuracy: 0.7206, prior_entropy: 0.9976, recall: 0.7206, relative_absolute_error: 0.7738, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.429, root_relative_squared_error: 0.8594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7754, f_measure: 0.7038, kappa: 0.4057, kb_relative_information_score: 2415.6393, mean_absolute_error: 0.4896, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7038, predictive_accuracy: 0.7038, prior_entropy: 0.9976, recall: 0.7038, relative_absolute_error: 0.9825, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4901, root_relative_squared_error: 0.9818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7962, f_measure: 0.7169, kappa: 0.4318, kb_relative_information_score: 27905.6831, mean_absolute_error: 0.3696, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7168, predictive_accuracy: 0.717, prior_entropy: 0.9976, recall: 0.717, relative_absolute_error: 0.7415, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4284, root_relative_squared_error: 0.8583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7983, f_measure: 0.7199, kappa: 0.4379, kb_relative_information_score: 26501.2912, mean_absolute_error: 0.3776, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7199, predictive_accuracy: 0.7199, prior_entropy: 0.9976, recall: 0.7199, relative_absolute_error: 0.7577, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4282, root_relative_squared_error: 0.8578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7955, f_measure: 0.7175, kappa: 0.433, kb_relative_information_score: 27600.1655, mean_absolute_error: 0.3712, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7175, predictive_accuracy: 0.7176, prior_entropy: 0.9976, recall: 0.7176, relative_absolute_error: 0.7449, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4289, root_relative_squared_error: 0.8592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6677, f_measure: 0.6361, kappa: 0.2696, kb_relative_information_score: 2187.9214, mean_absolute_error: 0.4902, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.636, predictive_accuracy: 0.6364, prior_entropy: 0.9976, recall: 0.6364, relative_absolute_error: 0.9837, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4914, root_relative_squared_error: 0.9845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7979, f_measure: 0.7205, kappa: 0.4392, kb_relative_information_score: 26512.2637, mean_absolute_error: 0.3775, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7205, predictive_accuracy: 0.7206, prior_entropy: 0.9976, recall: 0.7206, relative_absolute_error: 0.7576, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4284, root_relative_squared_error: 0.8582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5315, f_measure: 0.4688, kappa: 0.0493, kb_relative_information_score: 431.7144, mean_absolute_error: 0.4968, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.5535, predictive_accuracy: 0.5451, prior_entropy: 0.9976, recall: 0.5451, relative_absolute_error: 0.9968, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4984, root_relative_squared_error: 0.9984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7648, f_measure: 0.6924, kappa: 0.3825, kb_relative_information_score: 1534.9406, mean_absolute_error: 0.4929, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6923, predictive_accuracy: 0.6925, prior_entropy: 0.9976, recall: 0.6925, relative_absolute_error: 0.989, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4931, root_relative_squared_error: 0.9878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7997, f_measure: 0.7212, kappa: 0.4403, kb_relative_information_score: 25063.0826, mean_absolute_error: 0.3857, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7211, predictive_accuracy: 0.7213, prior_entropy: 0.9976, recall: 0.7213, relative_absolute_error: 0.774, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4289, root_relative_squared_error: 0.8593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7334, f_measure: 0.6857, kappa: 0.369, kb_relative_information_score: 9650.8535, mean_absolute_error: 0.4584, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6856, predictive_accuracy: 0.6859, prior_entropy: 0.9976, recall: 0.6859, relative_absolute_error: 0.9198, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4717, root_relative_squared_error: 0.945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7999, f_measure: 0.7199, kappa: 0.4377, kb_relative_information_score: 25039.1793, mean_absolute_error: 0.3859, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7199, predictive_accuracy: 0.7201, prior_entropy: 0.9976, recall: 0.7201, relative_absolute_error: 0.7744, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4289, root_relative_squared_error: 0.8591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7386, f_measure: 0.6591, kappa: 0.3192, kb_relative_information_score: 2186.8121, mean_absolute_error: 0.4905, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.668, predictive_accuracy: 0.6647, prior_entropy: 0.9976, recall: 0.6647, relative_absolute_error: 0.9843, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.491, root_relative_squared_error: 0.9836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7879, f_measure: 0.7154, kappa: 0.4286, kb_relative_information_score: 3982.3683, mean_absolute_error: 0.4836, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7154, predictive_accuracy: 0.7156, prior_entropy: 0.9976, recall: 0.7156, relative_absolute_error: 0.9704, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4847, root_relative_squared_error: 0.9709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7992, f_measure: 0.72, kappa: 0.4381, kb_relative_information_score: 27294.4968, mean_absolute_error: 0.3734, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.72, predictive_accuracy: 0.72, prior_entropy: 0.9976, recall: 0.72, relative_absolute_error: 0.7492, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4274, root_relative_squared_error: 0.8561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7988, f_measure: 0.7194, kappa: 0.4367, kb_relative_information_score: 27524.1291, mean_absolute_error: 0.372, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7193, predictive_accuracy: 0.7194, prior_entropy: 0.9976, recall: 0.7194, relative_absolute_error: 0.7465, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4274, root_relative_squared_error: 0.8563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7984, f_measure: 0.7211, kappa: 0.4404, kb_relative_information_score: 26996.4941, mean_absolute_error: 0.3749, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7211, predictive_accuracy: 0.7212, prior_entropy: 0.9976, recall: 0.7212, relative_absolute_error: 0.7522, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4279, root_relative_squared_error: 0.8571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.768, f_measure: 0.6959, kappa: 0.3894, kb_relative_information_score: 6510.1285, mean_absolute_error: 0.4737, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6959, predictive_accuracy: 0.6962, prior_entropy: 0.9976, recall: 0.6962, relative_absolute_error: 0.9506, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4764, root_relative_squared_error: 0.9543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7917, f_measure: 0.7141, kappa: 0.4262, kb_relative_information_score: 27292.5852, mean_absolute_error: 0.3726, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.714, predictive_accuracy: 0.7141, prior_entropy: 0.9976, recall: 0.7141, relative_absolute_error: 0.7476, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4307, root_relative_squared_error: 0.8629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7989, f_measure: 0.7213, kappa: 0.4408, kb_relative_information_score: 26595.0012, mean_absolute_error: 0.3772, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7213, predictive_accuracy: 0.7213, prior_entropy: 0.9976, recall: 0.7213, relative_absolute_error: 0.7568, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4279, root_relative_squared_error: 0.8573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7985, f_measure: 0.72, kappa: 0.4382, kb_relative_information_score: 26439.9438, mean_absolute_error: 0.378, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.72, predictive_accuracy: 0.7201, prior_entropy: 0.9976, recall: 0.7201, relative_absolute_error: 0.7585, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4281, root_relative_squared_error: 0.8577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.791, f_measure: 0.714, kappa: 0.4259, kb_relative_information_score: 27817.4706, mean_absolute_error: 0.3695, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7139, predictive_accuracy: 0.7141, prior_entropy: 0.9976, recall: 0.7141, relative_absolute_error: 0.7414, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4311, root_relative_squared_error: 0.8636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.683, f_measure: 0.6393, kappa: 0.2782, kb_relative_information_score: 11843.8994, mean_absolute_error: 0.4476, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6447, predictive_accuracy: 0.6439, prior_entropy: 0.9976, recall: 0.6439, relative_absolute_error: 0.898, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4726, root_relative_squared_error: 0.9468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8019, f_measure: 0.7229, kappa: 0.4438, kb_relative_information_score: 27459.1618, mean_absolute_error: 0.3728, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7229, predictive_accuracy: 0.723, prior_entropy: 0.9976, recall: 0.723, relative_absolute_error: 0.748, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4261, root_relative_squared_error: 0.8536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7953, f_measure: 0.7176, kappa: 0.4332, kb_relative_information_score: 27379.4912, mean_absolute_error: 0.3725, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7176, predictive_accuracy: 0.7176, prior_entropy: 0.9976, recall: 0.7176, relative_absolute_error: 0.7474, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4291, root_relative_squared_error: 0.8595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7994, f_measure: 0.7206, kappa: 0.4391, kb_relative_information_score: 24451.2647, mean_absolute_error: 0.389, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7205, predictive_accuracy: 0.7207, prior_entropy: 0.9976, recall: 0.7207, relative_absolute_error: 0.7806, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.8608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5271, f_measure: 0.4992, kappa: 0.0692, kb_relative_information_score: 521.0508, mean_absolute_error: 0.4965, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.5564, predictive_accuracy: 0.5517, prior_entropy: 0.9976, recall: 0.5517, relative_absolute_error: 0.9962, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4983, root_relative_squared_error: 0.9982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7973, f_measure: 0.7184, kappa: 0.4346, kb_relative_information_score: 23285.1451, mean_absolute_error: 0.3952, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7184, predictive_accuracy: 0.7187, prior_entropy: 0.9976, recall: 0.7187, relative_absolute_error: 0.7929, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4318, root_relative_squared_error: 0.865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7937, f_measure: 0.7157, kappa: 0.4295, kb_relative_information_score: 27477.6628, mean_absolute_error: 0.3718, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7157, predictive_accuracy: 0.7158, prior_entropy: 0.9976, recall: 0.7158, relative_absolute_error: 0.7459, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4298, root_relative_squared_error: 0.861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6572, f_measure: 0.6172, kappa: 0.2336, kb_relative_information_score: 9852.0353, mean_absolute_error: 0.4562, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6213, predictive_accuracy: 0.6216, prior_entropy: 0.9976, recall: 0.6216, relative_absolute_error: 0.9154, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.478, root_relative_squared_error: 0.9575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.794, f_measure: 0.7151, kappa: 0.4283, kb_relative_information_score: 27710.4151, mean_absolute_error: 0.3704, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7151, predictive_accuracy: 0.7151, prior_entropy: 0.9976, recall: 0.7151, relative_absolute_error: 0.7433, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4296, root_relative_squared_error: 0.8606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.795, f_measure: 0.7169, kappa: 0.4316, kb_relative_information_score: 21806.9762, mean_absolute_error: 0.4029, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.717, predictive_accuracy: 0.7173, prior_entropy: 0.9976, recall: 0.7173, relative_absolute_error: 0.8083, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4346, root_relative_squared_error: 0.8707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6454, f_measure: 0.6095, kappa: 0.2185, kb_relative_information_score: 8861.8746, mean_absolute_error: 0.4607, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6141, predictive_accuracy: 0.6144, prior_entropy: 0.9976, recall: 0.6144, relative_absolute_error: 0.9243, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4805, root_relative_squared_error: 0.9627,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7996, f_measure: 0.7207, kappa: 0.4394, kb_relative_information_score: 24926.1754, mean_absolute_error: 0.3865, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7206, predictive_accuracy: 0.7208, prior_entropy: 0.9976, recall: 0.7208, relative_absolute_error: 0.7755, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4291, root_relative_squared_error: 0.8596,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3891, f_measure: 0.3667, kappa: 0.0006, kb_relative_information_score: -16.4223, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.5633, predictive_accuracy: 0.5288, prior_entropy: 0.9976, recall: 0.5288, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4994, root_relative_squared_error: 1.0004,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.799, f_measure: 0.7193, kappa: 0.4367, kb_relative_information_score: 26212.8464, mean_absolute_error: 0.3793, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7193, predictive_accuracy: 0.7193, prior_entropy: 0.9976, recall: 0.7193, relative_absolute_error: 0.7611, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4281, root_relative_squared_error: 0.8576,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7959, f_measure: 0.7214, kappa: 0.4407, kb_relative_information_score: 9509.4806, mean_absolute_error: 0.4611, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7213, predictive_accuracy: 0.7216, prior_entropy: 0.9976, recall: 0.7216, relative_absolute_error: 0.9252, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4662, root_relative_squared_error: 0.9338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.506, f_measure: 0.3666, kappa: 0.0011, kb_relative_information_score: 49.6972, mean_absolute_error: 0.4981, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7509, predictive_accuracy: 0.529, prior_entropy: 0.9976, recall: 0.529, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4991, root_relative_squared_error: 0.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7823, f_measure: 0.712, kappa: 0.4217, kb_relative_information_score: 3702.5325, mean_absolute_error: 0.4847, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.712, predictive_accuracy: 0.7124, prior_entropy: 0.9976, recall: 0.7124, relative_absolute_error: 0.9726, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4856, root_relative_squared_error: 0.9729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7907, f_measure: 0.7138, kappa: 0.4255, kb_relative_information_score: 5502.0755, mean_absolute_error: 0.4779, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7138, predictive_accuracy: 0.714, prior_entropy: 0.9976, recall: 0.714, relative_absolute_error: 0.9589, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4795, root_relative_squared_error: 0.9605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7947, f_measure: 0.721, kappa: 0.4399, kb_relative_information_score: 5533.6043, mean_absolute_error: 0.4774, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.721, predictive_accuracy: 0.7212, prior_entropy: 0.9976, recall: 0.7212, relative_absolute_error: 0.958, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4794, root_relative_squared_error: 0.9603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7969, f_measure: 0.7186, kappa: 0.4349, kb_relative_information_score: 22231.8913, mean_absolute_error: 0.4008, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7188, predictive_accuracy: 0.7191, prior_entropy: 0.9976, recall: 0.7191, relative_absolute_error: 0.8042, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4335, root_relative_squared_error: 0.8684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7076, f_measure: 0.6364, kappa: 0.2734, kb_relative_information_score: 3914.5401, mean_absolute_error: 0.4838, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6436, predictive_accuracy: 0.642, prior_entropy: 0.9976, recall: 0.642, relative_absolute_error: 0.9708, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4858, root_relative_squared_error: 0.9731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8022, f_measure: 0.7225, kappa: 0.4431, kb_relative_information_score: 26916.0175, mean_absolute_error: 0.3758, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7225, predictive_accuracy: 0.7226, prior_entropy: 0.9976, recall: 0.7226, relative_absolute_error: 0.7541, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4263, root_relative_squared_error: 0.854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7985, f_measure: 0.7203, kappa: 0.4385, kb_relative_information_score: 24208.4312, mean_absolute_error: 0.3902, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7202, predictive_accuracy: 0.7205, prior_entropy: 0.9976, recall: 0.7205, relative_absolute_error: 0.783, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4304, root_relative_squared_error: 0.8622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7238, f_measure: 0.6832, kappa: 0.3639, kb_relative_information_score: 157.4637, mean_absolute_error: 0.4977, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6831, predictive_accuracy: 0.6834, prior_entropy: 0.9976, recall: 0.6834, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4979, root_relative_squared_error: 0.9973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7894, f_measure: 0.7148, kappa: 0.4276, kb_relative_information_score: 5142.7524, mean_absolute_error: 0.479, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7148, predictive_accuracy: 0.7149, prior_entropy: 0.9976, recall: 0.7149, relative_absolute_error: 0.9612, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4807, root_relative_squared_error: 0.963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6994, f_measure: 0.65, kappa: 0.2988, kb_relative_information_score: 13705.2467, mean_absolute_error: 0.4389, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.654, predictive_accuracy: 0.6535, prior_entropy: 0.9976, recall: 0.6535, relative_absolute_error: 0.8808, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4679, root_relative_squared_error: 0.9373,

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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From your own software

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

OpenML APIs