Task
Supervised Classification on cmc

Supervised Classification on cmc

Task 23 Supervised Classification cmc 18727 runs submitted
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  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_50 study_7 study_70 study_98 study_99 under100k under1m
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18727 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5495, kb_relative_information_score: 0.0624, mean_absolute_error: 0.4091, mean_prior_absolute_error: 0.4308, weighted_recall: 0.427, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.539, relative_absolute_error: 0.9496, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4523, root_relative_squared_error: 0.9745, unweighted_recall: 0.3333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6659, f_measure: 0.4694, kappa: 0.2172, kb_relative_information_score: 0.2227, mean_absolute_error: 0.3728, mean_prior_absolute_error: 0.4308, weighted_recall: 0.4684, number_of_instances: 1473, precision: 0.5103, predictive_accuracy: 0.4684, prior_entropy: 1.539, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4816, root_relative_squared_error: 1.0376, unweighted_recall: 0.4937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6019, f_measure: 0.474, kappa: 0.1862, kb_relative_information_score: 0.2544, mean_absolute_error: 0.3485, mean_prior_absolute_error: 0.4308, weighted_recall: 0.4745, number_of_instances: 1473, precision: 0.4735, predictive_accuracy: 0.4745, prior_entropy: 1.539, relative_absolute_error: 0.8089, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5835, root_relative_squared_error: 1.2572, unweighted_recall: 0.4557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7261, f_measure: 0.5465, kappa: 0.2969, kb_relative_information_score: 0.2287, mean_absolute_error: 0.3631, mean_prior_absolute_error: 0.4308, weighted_recall: 0.5513, number_of_instances: 1473, precision: 0.5465, predictive_accuracy: 0.5513, prior_entropy: 1.539, relative_absolute_error: 0.8428, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4285, root_relative_squared_error: 0.9232, unweighted_recall: 0.5186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6084, f_measure: 0.4848, kappa: 0.2023, kb_relative_information_score: 0.2649, mean_absolute_error: 0.343, mean_prior_absolute_error: 0.4308, weighted_recall: 0.4861, number_of_instances: 1473, precision: 0.4837, predictive_accuracy: 0.4861, prior_entropy: 1.539, relative_absolute_error: 0.7961, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.578, root_relative_squared_error: 1.2455, unweighted_recall: 0.465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5673, f_measure: 0.4338, kappa: 0.1264, kb_relative_information_score: 0.1936, mean_absolute_error: 0.3781, mean_prior_absolute_error: 0.4308, weighted_recall: 0.4331, number_of_instances: 1473, precision: 0.4348, predictive_accuracy: 0.4331, prior_entropy: 1.539, relative_absolute_error: 0.8776, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.6067, root_relative_squared_error: 1.3072, unweighted_recall: 0.4202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6827, f_measure: 0.5047, kappa: 0.2318, kb_relative_information_score: 0.2523, mean_absolute_error: 0.3528, mean_prior_absolute_error: 0.4308, weighted_recall: 0.5085, number_of_instances: 1473, precision: 0.5027, predictive_accuracy: 0.5085, prior_entropy: 1.539, relative_absolute_error: 0.819, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4621, root_relative_squared_error: 0.9956, unweighted_recall: 0.4823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6965, f_measure: 0.5039, kappa: 0.2282, kb_relative_information_score: 0.1793, mean_absolute_error: 0.3832, mean_prior_absolute_error: 0.4308, weighted_recall: 0.5119, number_of_instances: 1473, precision: 0.5051, predictive_accuracy: 0.5119, prior_entropy: 1.539, relative_absolute_error: 0.8895, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4379, root_relative_squared_error: 0.9436, unweighted_recall: 0.4772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4975, kb_relative_information_score: 0.0002, mean_absolute_error: 0.4308, mean_prior_absolute_error: 0.4308, weighted_recall: 0.427, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.539, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4641, root_relative_squared_error: 1, unweighted_recall: 0.3333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7286, f_measure: 0.533, kappa: 0.2761, kb_relative_information_score: 0.1985, mean_absolute_error: 0.3754, mean_prior_absolute_error: 0.4308, weighted_recall: 0.5451, number_of_instances: 1473, precision: 0.536, predictive_accuracy: 0.5451, prior_entropy: 1.539, relative_absolute_error: 0.8713, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4305, root_relative_squared_error: 0.9276, unweighted_recall: 0.5044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6414, f_measure: 0.4728, kappa: 0.1806, kb_relative_information_score: 0.206, mean_absolute_error: 0.3736, mean_prior_absolute_error: 0.4308, weighted_recall: 0.4779, number_of_instances: 1473, precision: 0.4713, predictive_accuracy: 0.4779, prior_entropy: 1.539, relative_absolute_error: 0.8671, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4747, root_relative_squared_error: 1.0228, unweighted_recall: 0.4534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5944, f_measure: 0.4665, kappa: 0.176, kb_relative_information_score: 0.2439, mean_absolute_error: 0.3551, mean_prior_absolute_error: 0.4308, weighted_recall: 0.4657, number_of_instances: 1473, precision: 0.4674, predictive_accuracy: 0.4657, prior_entropy: 1.539, relative_absolute_error: 0.8243, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5877, root_relative_squared_error: 1.2664, unweighted_recall: 0.4549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6821, f_measure: 0.4987, kappa: 0.2239, kb_relative_information_score: 0.252, mean_absolute_error: 0.3533, mean_prior_absolute_error: 0.4308, weighted_recall: 0.5037, number_of_instances: 1473, precision: 0.4964, predictive_accuracy: 0.5037, prior_entropy: 1.539, relative_absolute_error: 0.82, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4625, root_relative_squared_error: 0.9965, unweighted_recall: 0.4774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6965, f_measure: 0.5039, kappa: 0.2282, kb_relative_information_score: 0.1793, mean_absolute_error: 0.3832, mean_prior_absolute_error: 0.4308, weighted_recall: 0.5119, number_of_instances: 1473, precision: 0.5051, predictive_accuracy: 0.5119, prior_entropy: 1.539, relative_absolute_error: 0.8895, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4379, root_relative_squared_error: 0.9436, unweighted_recall: 0.4772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4975, kb_relative_information_score: 0.0002, mean_absolute_error: 0.4308, mean_prior_absolute_error: 0.4308, weighted_recall: 0.427, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.539, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4641, root_relative_squared_error: 1, unweighted_recall: 0.3333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7284, f_measure: 0.5352, kappa: 0.2791, kb_relative_information_score: 0.2002, mean_absolute_error: 0.3748, mean_prior_absolute_error: 0.4308, weighted_recall: 0.5465, number_of_instances: 1473, precision: 0.5377, predictive_accuracy: 0.5465, prior_entropy: 1.539, relative_absolute_error: 0.87, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4306, root_relative_squared_error: 0.9277, unweighted_recall: 0.5072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6481, f_measure: 0.4951, kappa: 0.218, kb_relative_information_score: 0.2118, mean_absolute_error: 0.3713, mean_prior_absolute_error: 0.4308, weighted_recall: 0.5024, number_of_instances: 1473, precision: 0.4931, predictive_accuracy: 0.5024, prior_entropy: 1.539, relative_absolute_error: 0.8619, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4724, root_relative_squared_error: 1.0178, unweighted_recall: 0.4724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6659, f_measure: 0.4694, kappa: 0.2172, kb_relative_information_score: 0.2227, mean_absolute_error: 0.3728, mean_prior_absolute_error: 0.4308, weighted_recall: 0.4684, number_of_instances: 1473, precision: 0.5103, predictive_accuracy: 0.4684, prior_entropy: 1.539, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4816, root_relative_squared_error: 1.0376, unweighted_recall: 0.4937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5826, f_measure: 0.4536, kappa: 0.1552, kb_relative_information_score: 0.2198, mean_absolute_error: 0.3647, mean_prior_absolute_error: 0.4308, weighted_recall: 0.4535, number_of_instances: 1473, precision: 0.4538, predictive_accuracy: 0.4535, prior_entropy: 1.539, relative_absolute_error: 0.8465, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5958, root_relative_squared_error: 1.2838, unweighted_recall: 0.4349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.689, f_measure: 0.5141, kappa: 0.2478, kb_relative_information_score: 0.2738, mean_absolute_error: 0.3407, mean_prior_absolute_error: 0.4308, weighted_recall: 0.5139, number_of_instances: 1473, precision: 0.5143, predictive_accuracy: 0.5139, prior_entropy: 1.539, relative_absolute_error: 0.7907, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4788, root_relative_squared_error: 1.0316, unweighted_recall: 0.4958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6905, f_measure: 0.514, kappa: 0.2473, kb_relative_information_score: 0.2593, mean_absolute_error: 0.3487, mean_prior_absolute_error: 0.4308, weighted_recall: 0.52, number_of_instances: 1473, precision: 0.5125, predictive_accuracy: 0.52, prior_entropy: 1.539, relative_absolute_error: 0.8093, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4584, root_relative_squared_error: 0.9876, unweighted_recall: 0.4916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6965, f_measure: 0.5039, kappa: 0.2282, kb_relative_information_score: 0.1793, mean_absolute_error: 0.3832, mean_prior_absolute_error: 0.4308, weighted_recall: 0.5119, number_of_instances: 1473, precision: 0.5051, predictive_accuracy: 0.5119, prior_entropy: 1.539, relative_absolute_error: 0.8895, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4379, root_relative_squared_error: 0.9436, unweighted_recall: 0.4772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4975, kb_relative_information_score: 0.0002, mean_absolute_error: 0.4308, mean_prior_absolute_error: 0.4308, weighted_recall: 0.427, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.539, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4641, root_relative_squared_error: 1, unweighted_recall: 0.3333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7279, f_measure: 0.5349, kappa: 0.2789, kb_relative_information_score: 0.1969, mean_absolute_error: 0.376, mean_prior_absolute_error: 0.4308, weighted_recall: 0.5465, number_of_instances: 1473, precision: 0.5376, predictive_accuracy: 0.5465, prior_entropy: 1.539, relative_absolute_error: 0.8728, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4308, root_relative_squared_error: 0.9282, unweighted_recall: 0.5068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6517, f_measure: 0.4959, kappa: 0.2198, kb_relative_information_score: 0.2131, mean_absolute_error: 0.371, mean_prior_absolute_error: 0.4308, weighted_recall: 0.5037, number_of_instances: 1473, precision: 0.4943, predictive_accuracy: 0.5037, prior_entropy: 1.539, relative_absolute_error: 0.8611, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4702, root_relative_squared_error: 1.0131, unweighted_recall: 0.4735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5744, f_measure: 0.4483, kappa: 0.1457, kb_relative_information_score: 0.2099, mean_absolute_error: 0.368, mean_prior_absolute_error: 0.4308, weighted_recall: 0.4481, number_of_instances: 1473, precision: 0.4486, predictive_accuracy: 0.4481, prior_entropy: 1.539, relative_absolute_error: 0.8541, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.6066, root_relative_squared_error: 1.307, unweighted_recall: 0.4283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6056, f_measure: 0.4816, kappa: 0.1985, kb_relative_information_score: 0.2602, mean_absolute_error: 0.3456, mean_prior_absolute_error: 0.4308, weighted_recall: 0.482, number_of_instances: 1473, precision: 0.4814, predictive_accuracy: 0.482, prior_entropy: 1.539, relative_absolute_error: 0.8021, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5811, root_relative_squared_error: 1.252, unweighted_recall: 0.463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6586, f_measure: 0.5577, kappa: 0.3139, kb_relative_information_score: 0.3655, mean_absolute_error: 0.2924, mean_prior_absolute_error: 0.4308, weighted_recall: 0.5614, number_of_instances: 1473, precision: 0.561, predictive_accuracy: 0.5614, prior_entropy: 1.539, relative_absolute_error: 0.6786, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5407, root_relative_squared_error: 1.1651, unweighted_recall: 0.5314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6811, f_measure: 0.5057, kappa: 0.2332, kb_relative_information_score: 0.2509, mean_absolute_error: 0.3538, mean_prior_absolute_error: 0.4308, weighted_recall: 0.5085, number_of_instances: 1473, precision: 0.504, predictive_accuracy: 0.5085, prior_entropy: 1.539, relative_absolute_error: 0.8212, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4617, root_relative_squared_error: 0.9949, unweighted_recall: 0.4843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6543, f_measure: 0.5499, kappa: 0.3041, kb_relative_information_score: 0.3559, mean_absolute_error: 0.2955, mean_prior_absolute_error: 0.4308, weighted_recall: 0.5567, number_of_instances: 1473, precision: 0.5586, predictive_accuracy: 0.5567, prior_entropy: 1.539, relative_absolute_error: 0.686, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5436, root_relative_squared_error: 1.1714, usercpu_time_millis: 0.36, usercpu_time_millis_testing: 0.2, usercpu_time_millis_training: 0.16, unweighted_recall: 0.5207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7032, f_measure: 0.5144, kappa: 0.2469, kb_relative_information_score: 0.2498, mean_absolute_error: 0.3526, mean_prior_absolute_error: 0.4308, weighted_recall: 0.518, number_of_instances: 1473, precision: 0.5124, predictive_accuracy: 0.518, prior_entropy: 1.539, relative_absolute_error: 0.8185, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.9635, unweighted_recall: 0.4891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5244, f_measure: 0.2763, kappa: -0.0492, kb_relative_information_score: 0.0337, mean_absolute_error: 0.4265, mean_prior_absolute_error: 0.4308, weighted_recall: 0.387, number_of_instances: 1473, precision: 0.3095, predictive_accuracy: 0.387, prior_entropy: 1.539, relative_absolute_error: 0.9901, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4655, root_relative_squared_error: 1.0029, unweighted_recall: 0.3087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6842, f_measure: 0.4876, kappa: 0.2034, kb_relative_information_score: 0.1543, mean_absolute_error: 0.3918, mean_prior_absolute_error: 0.4308, weighted_recall: 0.4922, number_of_instances: 1473, precision: 0.4861, predictive_accuracy: 0.4922, prior_entropy: 1.539, relative_absolute_error: 0.9094, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.9513, unweighted_recall: 0.4646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6403, f_measure: 0.3906, kappa: 0.0779, kb_relative_information_score: 0.0859, mean_absolute_error: 0.4111, mean_prior_absolute_error: 0.4308, weighted_recall: 0.444, number_of_instances: 1473, precision: 0.4061, predictive_accuracy: 0.444, prior_entropy: 1.539, relative_absolute_error: 0.9541, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4512, root_relative_squared_error: 0.9723, unweighted_recall: 0.3749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7321, f_measure: 0.5385, kappa: 0.2857, kb_relative_information_score: 0.2053, mean_absolute_error: 0.3711, mean_prior_absolute_error: 0.4308, weighted_recall: 0.5472, number_of_instances: 1473, precision: 0.5369, predictive_accuracy: 0.5472, prior_entropy: 1.539, relative_absolute_error: 0.8613, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4283, root_relative_squared_error: 0.9228, unweighted_recall: 0.5086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7311, f_measure: 0.5417, kappa: 0.2901, kb_relative_information_score: 0.2042, mean_absolute_error: 0.3726, mean_prior_absolute_error: 0.4308, weighted_recall: 0.5499, number_of_instances: 1473, precision: 0.5415, predictive_accuracy: 0.5499, prior_entropy: 1.539, relative_absolute_error: 0.8648, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4286, root_relative_squared_error: 0.9236, unweighted_recall: 0.5126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.696, f_measure: 0.502, kappa: 0.225, kb_relative_information_score: 0.1847, mean_absolute_error: 0.3818, mean_prior_absolute_error: 0.4308, weighted_recall: 0.5085, number_of_instances: 1473, precision: 0.5018, predictive_accuracy: 0.5085, prior_entropy: 1.539, relative_absolute_error: 0.8863, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4388, root_relative_squared_error: 0.9454, unweighted_recall: 0.4775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.696, f_measure: 0.502, kappa: 0.225, kb_relative_information_score: 0.1847, mean_absolute_error: 0.3818, mean_prior_absolute_error: 0.4308, weighted_recall: 0.5085, number_of_instances: 1473, precision: 0.5018, predictive_accuracy: 0.5085, prior_entropy: 1.539, relative_absolute_error: 0.8863, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4388, root_relative_squared_error: 0.9454, unweighted_recall: 0.4775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6971, f_measure: 0.5021, kappa: 0.2255, kb_relative_information_score: 0.1884, mean_absolute_error: 0.3796, mean_prior_absolute_error: 0.4308, weighted_recall: 0.5071, number_of_instances: 1473, precision: 0.5012, predictive_accuracy: 0.5071, prior_entropy: 1.539, relative_absolute_error: 0.8811, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4385, root_relative_squared_error: 0.9447, unweighted_recall: 0.4783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6971, f_measure: 0.5033, kappa: 0.2274, kb_relative_information_score: 0.1867, mean_absolute_error: 0.3802, mean_prior_absolute_error: 0.4308, weighted_recall: 0.5085, number_of_instances: 1473, precision: 0.5024, predictive_accuracy: 0.5085, prior_entropy: 1.539, relative_absolute_error: 0.8824, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4383, root_relative_squared_error: 0.9444, unweighted_recall: 0.4794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6929, f_measure: 0.4804, kappa: 0.1922, kb_relative_information_score: 0.1291, mean_absolute_error: 0.3993, mean_prior_absolute_error: 0.4308, weighted_recall: 0.4983, number_of_instances: 1473, precision: 0.4939, predictive_accuracy: 0.4983, prior_entropy: 1.539, relative_absolute_error: 0.9268, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4414, root_relative_squared_error: 0.9511, unweighted_recall: 0.4524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6963, f_measure: 0.5015, kappa: 0.2238, kb_relative_information_score: 0.1758, mean_absolute_error: 0.3839, mean_prior_absolute_error: 0.4308, weighted_recall: 0.5078, number_of_instances: 1473, precision: 0.5021, predictive_accuracy: 0.5078, prior_entropy: 1.539, relative_absolute_error: 0.891, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4382, root_relative_squared_error: 0.9441, unweighted_recall: 0.4765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6953, f_measure: 0.4977, kappa: 0.2182, kb_relative_information_score: 0.1678, mean_absolute_error: 0.3875, mean_prior_absolute_error: 0.4308, weighted_recall: 0.5071, number_of_instances: 1473, precision: 0.4999, predictive_accuracy: 0.5071, prior_entropy: 1.539, relative_absolute_error: 0.8994, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4387, root_relative_squared_error: 0.9453, unweighted_recall: 0.471,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.696, f_measure: 0.502, kappa: 0.225, kb_relative_information_score: 0.1847, mean_absolute_error: 0.3818, mean_prior_absolute_error: 0.4308, weighted_recall: 0.5085, number_of_instances: 1473, precision: 0.5018, predictive_accuracy: 0.5085, prior_entropy: 1.539, relative_absolute_error: 0.8863, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4388, root_relative_squared_error: 0.9454, unweighted_recall: 0.4775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6967, f_measure: 0.5083, kappa: 0.2352, kb_relative_information_score: 0.185, mean_absolute_error: 0.3814, mean_prior_absolute_error: 0.4308, weighted_recall: 0.5153, number_of_instances: 1473, precision: 0.5082, predictive_accuracy: 0.5153, prior_entropy: 1.539, relative_absolute_error: 0.8853, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4386, root_relative_squared_error: 0.945, unweighted_recall: 0.4833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.696, f_measure: 0.5012, kappa: 0.2238, kb_relative_information_score: 0.1844, mean_absolute_error: 0.3819, mean_prior_absolute_error: 0.4308, weighted_recall: 0.5078, number_of_instances: 1473, precision: 0.501, predictive_accuracy: 0.5078, prior_entropy: 1.539, relative_absolute_error: 0.8865, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4387, root_relative_squared_error: 0.9453, unweighted_recall: 0.4765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.696, f_measure: 0.5012, kappa: 0.2238, kb_relative_information_score: 0.1844, mean_absolute_error: 0.3819, mean_prior_absolute_error: 0.4308, weighted_recall: 0.5078, number_of_instances: 1473, precision: 0.501, predictive_accuracy: 0.5078, prior_entropy: 1.539, relative_absolute_error: 0.8865, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4387, root_relative_squared_error: 0.9453, unweighted_recall: 0.4765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.696, f_measure: 0.4988, kappa: 0.2198, kb_relative_information_score: 0.1821, mean_absolute_error: 0.3827, mean_prior_absolute_error: 0.4308, weighted_recall: 0.5058, number_of_instances: 1473, precision: 0.4991, predictive_accuracy: 0.5058, prior_entropy: 1.539, relative_absolute_error: 0.8882, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4386, root_relative_squared_error: 0.9451, unweighted_recall: 0.4738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6955, f_measure: 0.4981, kappa: 0.2185, kb_relative_information_score: 0.172, mean_absolute_error: 0.3862, mean_prior_absolute_error: 0.4308, weighted_recall: 0.5064, number_of_instances: 1473, precision: 0.4996, predictive_accuracy: 0.5064, prior_entropy: 1.539, relative_absolute_error: 0.8964, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4386, root_relative_squared_error: 0.945, unweighted_recall: 0.4722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.696, f_measure: 0.4994, kappa: 0.2208, kb_relative_information_score: 0.1819, mean_absolute_error: 0.3828, mean_prior_absolute_error: 0.4308, weighted_recall: 0.5064, number_of_instances: 1473, precision: 0.4997, predictive_accuracy: 0.5064, prior_entropy: 1.539, relative_absolute_error: 0.8885, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4386, root_relative_squared_error: 0.9451, unweighted_recall: 0.4744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.696, f_measure: 0.4988, kappa: 0.2198, kb_relative_information_score: 0.1821, mean_absolute_error: 0.3827, mean_prior_absolute_error: 0.4308, weighted_recall: 0.5058, number_of_instances: 1473, precision: 0.4991, predictive_accuracy: 0.5058, prior_entropy: 1.539, relative_absolute_error: 0.8882, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4386, root_relative_squared_error: 0.9451, unweighted_recall: 0.4738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.696, f_measure: 0.502, kappa: 0.225, kb_relative_information_score: 0.1847, mean_absolute_error: 0.3818, mean_prior_absolute_error: 0.4308, weighted_recall: 0.5085, number_of_instances: 1473, precision: 0.5018, predictive_accuracy: 0.5085, prior_entropy: 1.539, relative_absolute_error: 0.8863, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4388, root_relative_squared_error: 0.9454, unweighted_recall: 0.4775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6953, f_measure: 0.4977, kappa: 0.2182, kb_relative_information_score: 0.1678, mean_absolute_error: 0.3875, mean_prior_absolute_error: 0.4308, weighted_recall: 0.5071, number_of_instances: 1473, precision: 0.4999, predictive_accuracy: 0.5071, prior_entropy: 1.539, relative_absolute_error: 0.8994, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4387, root_relative_squared_error: 0.9453, unweighted_recall: 0.471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6913, f_measure: 0.4647, kappa: 0.1756, kb_relative_information_score: 0.1118, mean_absolute_error: 0.405, mean_prior_absolute_error: 0.4308, weighted_recall: 0.4949, number_of_instances: 1473, precision: 0.4918, predictive_accuracy: 0.4949, prior_entropy: 1.539, relative_absolute_error: 0.94, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.444, root_relative_squared_error: 0.9566, unweighted_recall: 0.4381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6906, f_measure: 0.4765, kappa: 0.1876, kb_relative_information_score: 0.1047, mean_absolute_error: 0.4084, mean_prior_absolute_error: 0.4308, weighted_recall: 0.4969, number_of_instances: 1473, precision: 0.4924, predictive_accuracy: 0.4969, prior_entropy: 1.539, relative_absolute_error: 0.9478, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.445, root_relative_squared_error: 0.9587, unweighted_recall: 0.4485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6872, f_measure: 0.5017, kappa: 0.2306, kb_relative_information_score: 0.1909, mean_absolute_error: 0.3797, mean_prior_absolute_error: 0.4308, weighted_recall: 0.5119, number_of_instances: 1473, precision: 0.517, predictive_accuracy: 0.5119, prior_entropy: 1.539, relative_absolute_error: 0.8814, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4429, root_relative_squared_error: 0.9543, unweighted_recall: 0.4747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.696, f_measure: 0.4994, kappa: 0.2208, kb_relative_information_score: 0.1819, mean_absolute_error: 0.3828, mean_prior_absolute_error: 0.4308, weighted_recall: 0.5064, number_of_instances: 1473, precision: 0.4997, predictive_accuracy: 0.5064, prior_entropy: 1.539, relative_absolute_error: 0.8884, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4386, root_relative_squared_error: 0.9451, unweighted_recall: 0.4744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6913, f_measure: 0.4647, kappa: 0.1756, kb_relative_information_score: 0.1118, mean_absolute_error: 0.405, mean_prior_absolute_error: 0.4308, weighted_recall: 0.4949, number_of_instances: 1473, precision: 0.4918, predictive_accuracy: 0.4949, prior_entropy: 1.539, relative_absolute_error: 0.94, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.444, root_relative_squared_error: 0.9566, unweighted_recall: 0.4381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6815, kb_relative_information_score: 0.0308, mean_absolute_error: 0.4249, mean_prior_absolute_error: 0.4308, weighted_recall: 0.427, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.539, relative_absolute_error: 0.9862, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4582, root_relative_squared_error: 0.9872, unweighted_recall: 0.3333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.696, f_measure: 0.502, kappa: 0.225, kb_relative_information_score: 0.1847, mean_absolute_error: 0.3818, mean_prior_absolute_error: 0.4308, weighted_recall: 0.5085, number_of_instances: 1473, precision: 0.5018, predictive_accuracy: 0.5085, prior_entropy: 1.539, relative_absolute_error: 0.8863, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4388, root_relative_squared_error: 0.9454, unweighted_recall: 0.4775,

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