OpenML
Supervised Classification on eeg-eye-state

Supervised Classification on eeg-eye-state

Task 9983 Supervised Classification eeg-eye-state 97291 runs submitted
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  • OpenML100 study_107 study_123 study_14 study_7
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: -0.2097, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: -0.2097, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6183, f_measure: 0.5728, kappa: 0.1605, kb_relative_information_score: 837.1557, mean_absolute_error: 0.472, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6056, predictive_accuracy: 0.6032, prior_entropy: 0.9924, recall: 0.6032, relative_absolute_error: 0.9541, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4838, root_relative_squared_error: 0.9727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6376, f_measure: 0.5997, kappa: 0.1985, kb_relative_information_score: 1384.7627, mean_absolute_error: 0.4548, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.615, predictive_accuracy: 0.6162, prior_entropy: 0.9924, recall: 0.6162, relative_absolute_error: 0.9193, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4788, root_relative_squared_error: 0.9626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8412, f_measure: 0.7693, kappa: 0.5326, kb_relative_information_score: 5283.4683, mean_absolute_error: 0.3344, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7719, predictive_accuracy: 0.7713, prior_entropy: 0.9924, recall: 0.7713, relative_absolute_error: 0.676, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4045, root_relative_squared_error: 0.8133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: -0.2096, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9525, f_measure: 0.8843, kappa: 0.7659, kb_relative_information_score: 10097.1889, mean_absolute_error: 0.1721, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8844, predictive_accuracy: 0.8844, prior_entropy: 0.9924, recall: 0.8844, relative_absolute_error: 0.3479, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2897, root_relative_squared_error: 0.5824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6235, f_measure: 0.5817, kappa: 0.1608, kb_relative_information_score: 1009.6278, mean_absolute_error: 0.4663, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.593, predictive_accuracy: 0.5974, prior_entropy: 0.9924, recall: 0.5974, relative_absolute_error: 0.9424, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4829, root_relative_squared_error: 0.9708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6321, f_measure: 0.606, kappa: 0.2106, kb_relative_information_score: 1259.2572, mean_absolute_error: 0.4596, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6213, predictive_accuracy: 0.6218, prior_entropy: 0.9924, recall: 0.6218, relative_absolute_error: 0.929, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4861, root_relative_squared_error: 0.9774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6155, f_measure: 0.5588, kappa: 0.1312, kb_relative_information_score: 726.9441, mean_absolute_error: 0.4748, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5863, predictive_accuracy: 0.5889, prior_entropy: 0.9924, recall: 0.5889, relative_absolute_error: 0.9597, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4858, root_relative_squared_error: 0.9768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.787, f_measure: 0.7016, kappa: 0.3965, kb_relative_information_score: 4015.8679, mean_absolute_error: 0.3731, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7087, predictive_accuracy: 0.7071, prior_entropy: 0.9924, recall: 0.7071, relative_absolute_error: 0.754, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4303, root_relative_squared_error: 0.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9296, f_measure: 0.8532, kappa: 0.7028, kb_relative_information_score: 9015.4438, mean_absolute_error: 0.2093, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8536, predictive_accuracy: 0.8536, prior_entropy: 0.9924, recall: 0.8536, relative_absolute_error: 0.4229, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3222, root_relative_squared_error: 0.6478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.855, f_measure: 0.7674, kappa: 0.5285, kb_relative_information_score: 5989.6946, mean_absolute_error: 0.3092, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7698, predictive_accuracy: 0.7693, prior_entropy: 0.9924, recall: 0.7693, relative_absolute_error: 0.625, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.7897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: -0.2097, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7164, f_measure: 0.6352, kappa: 0.2656, kb_relative_information_score: 2484.1048, mean_absolute_error: 0.4218, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6467, predictive_accuracy: 0.6463, prior_entropy: 0.9924, recall: 0.6463, relative_absolute_error: 0.8525, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4585, root_relative_squared_error: 0.9218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7304, f_measure: 0.6469, kappa: 0.2899, kb_relative_information_score: 2792.489, mean_absolute_error: 0.4118, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6608, predictive_accuracy: 0.6584, prior_entropy: 0.9924, recall: 0.6584, relative_absolute_error: 0.8322, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4527, root_relative_squared_error: 0.9102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8392, f_measure: 0.7477, kappa: 0.4888, kb_relative_information_score: 5478.5081, mean_absolute_error: 0.3258, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7509, predictive_accuracy: 0.7503, prior_entropy: 0.9924, recall: 0.7503, relative_absolute_error: 0.6585, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4029, root_relative_squared_error: 0.81,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6186, f_measure: 0.5721, kappa: 0.1561, kb_relative_information_score: 860.4464, mean_absolute_error: 0.4712, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6006, predictive_accuracy: 0.6003, prior_entropy: 0.9924, recall: 0.6003, relative_absolute_error: 0.9525, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4839, root_relative_squared_error: 0.973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7962, f_measure: 0.7312, kappa: 0.4555, kb_relative_information_score: 4165.9475, mean_absolute_error: 0.3702, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7347, predictive_accuracy: 0.7342, prior_entropy: 0.9924, recall: 0.7342, relative_absolute_error: 0.7483, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4283, root_relative_squared_error: 0.8612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6186, f_measure: 0.5719, kappa: 0.1569, kb_relative_information_score: 848.1664, mean_absolute_error: 0.4716, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6021, predictive_accuracy: 0.6011, prior_entropy: 0.9924, recall: 0.6011, relative_absolute_error: 0.9533, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.484, root_relative_squared_error: 0.9731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6585, f_measure: 0.6153, kappa: 0.2274, kb_relative_information_score: 1641.3798, mean_absolute_error: 0.4473, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6286, predictive_accuracy: 0.629, prior_entropy: 0.9924, recall: 0.629, relative_absolute_error: 0.9041, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4746, root_relative_squared_error: 0.9541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.659, f_measure: 0.6106, kappa: 0.2192, kb_relative_information_score: 1681.9203, mean_absolute_error: 0.4456, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6254, predictive_accuracy: 0.6256, prior_entropy: 0.9924, recall: 0.6256, relative_absolute_error: 0.9007, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4745, root_relative_squared_error: 0.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9244, f_measure: 0.8482, kappa: 0.6927, kb_relative_information_score: 8819.7848, mean_absolute_error: 0.2161, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8485, predictive_accuracy: 0.8486, prior_entropy: 0.9924, recall: 0.8486, relative_absolute_error: 0.4367, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3279, root_relative_squared_error: 0.6593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6569, f_measure: 0.6188, kappa: 0.2331, kb_relative_information_score: 1634.4854, mean_absolute_error: 0.4476, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6299, predictive_accuracy: 0.6309, prior_entropy: 0.9924, recall: 0.6309, relative_absolute_error: 0.9046, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4752, root_relative_squared_error: 0.9555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7466, f_measure: 0.6669, kappa: 0.326, kb_relative_information_score: 3033.7392, mean_absolute_error: 0.4054, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6722, predictive_accuracy: 0.6727, prior_entropy: 0.9924, recall: 0.6727, relative_absolute_error: 0.8194, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4491, root_relative_squared_error: 0.903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8874, f_measure: 0.802, kappa: 0.5987, kb_relative_information_score: 7132.1581, mean_absolute_error: 0.2718, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8034, predictive_accuracy: 0.8031, prior_entropy: 0.9924, recall: 0.8031, relative_absolute_error: 0.5494, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.7398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6477, f_measure: 0.599, kappa: 0.2004, kb_relative_information_score: 1411.1804, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6191, predictive_accuracy: 0.6184, prior_entropy: 0.9924, recall: 0.6184, relative_absolute_error: 0.9184, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.477, root_relative_squared_error: 0.959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6663, f_measure: 0.6187, kappa: 0.2348, kb_relative_information_score: 1691.4953, mean_absolute_error: 0.4462, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6332, predictive_accuracy: 0.6328, prior_entropy: 0.9924, recall: 0.6328, relative_absolute_error: 0.9018, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4735, root_relative_squared_error: 0.9521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7869, f_measure: 0.7101, kappa: 0.4132, kb_relative_information_score: 3996.2071, mean_absolute_error: 0.3743, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7157, predictive_accuracy: 0.7146, prior_entropy: 0.9924, recall: 0.7146, relative_absolute_error: 0.7566, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4309, root_relative_squared_error: 0.8663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6098, f_measure: 0.5679, kappa: 0.1272, kb_relative_information_score: 659.3776, mean_absolute_error: 0.4763, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5712, predictive_accuracy: 0.5775, prior_entropy: 0.9924, recall: 0.5775, relative_absolute_error: 0.9627, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4873, root_relative_squared_error: 0.9798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: -0.2097, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9529, f_measure: 0.8857, kappa: 0.7687, kb_relative_information_score: 10121.7994, mean_absolute_error: 0.1712, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8858, predictive_accuracy: 0.8858, prior_entropy: 0.9924, recall: 0.8858, relative_absolute_error: 0.3461, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.289, root_relative_squared_error: 0.5811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5026, f_measure: 0.4022, kappa: 0.0037, kb_relative_information_score: 51.8085, mean_absolute_error: 0.4933, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5394, predictive_accuracy: 0.5517, prior_entropy: 0.9924, recall: 0.5517, relative_absolute_error: 0.997, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.498, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5166, f_measure: 0.4337, kappa: -0.0052, kb_relative_information_score: -18.1232, mean_absolute_error: 0.4951, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.4971, predictive_accuracy: 0.5415, prior_entropy: 0.9924, recall: 0.5415, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4995, root_relative_squared_error: 1.0043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: -0.2097, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.639, f_measure: 0.5975, kappa: 0.1951, kb_relative_information_score: 1368.875, mean_absolute_error: 0.4555, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6141, predictive_accuracy: 0.615, prior_entropy: 0.9924, recall: 0.615, relative_absolute_error: 0.9206, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4783, root_relative_squared_error: 0.9617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6281, f_measure: 0.5896, kappa: 0.178, kb_relative_information_score: 1198.812, mean_absolute_error: 0.4604, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6036, predictive_accuracy: 0.6063, prior_entropy: 0.9924, recall: 0.6063, relative_absolute_error: 0.9306, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4803, root_relative_squared_error: 0.9657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6303, f_measure: 0.5889, kappa: 0.1798, kb_relative_information_score: 1264.2636, mean_absolute_error: 0.4584, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6071, predictive_accuracy: 0.6085, prior_entropy: 0.9924, recall: 0.6085, relative_absolute_error: 0.9265, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4799, root_relative_squared_error: 0.9648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8475, f_measure: 0.7656, kappa: 0.525, kb_relative_information_score: 5627.3878, mean_absolute_error: 0.3219, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7682, predictive_accuracy: 0.7676, prior_entropy: 0.9924, recall: 0.7676, relative_absolute_error: 0.6505, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3988, root_relative_squared_error: 0.8017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: -0.2098, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8073, f_measure: 0.7169, kappa: 0.4265, kb_relative_information_score: 4575.7759, mean_absolute_error: 0.3551, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.721, predictive_accuracy: 0.7205, prior_entropy: 0.9924, recall: 0.7205, relative_absolute_error: 0.7176, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4209, root_relative_squared_error: 0.8463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7204, f_measure: 0.6353, kappa: 0.2647, kb_relative_information_score: 2516.4837, mean_absolute_error: 0.4211, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6447, predictive_accuracy: 0.6452, prior_entropy: 0.9924, recall: 0.6452, relative_absolute_error: 0.8512, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4579, root_relative_squared_error: 0.9206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: -0.2098, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: -0.2097, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, f_measure: 0.8046, kappa: 0.605, kb_relative_information_score: 6115.3446, mean_absolute_error: 0.3093, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8046, predictive_accuracy: 0.8046, prior_entropy: 0.9924, recall: 0.8046, relative_absolute_error: 0.6252, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3899, root_relative_squared_error: 0.7839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: -0.2097, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6171, f_measure: 0.5628, kappa: 0.1375, kb_relative_information_score: 756.2466, mean_absolute_error: 0.474, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5891, predictive_accuracy: 0.5915, prior_entropy: 0.9924, recall: 0.5915, relative_absolute_error: 0.9581, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4853, root_relative_squared_error: 0.9758,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6415, f_measure: 0.6055, kappa: 0.2081, kb_relative_information_score: 1384.847, mean_absolute_error: 0.455, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6185, predictive_accuracy: 0.62, prior_entropy: 0.9924, recall: 0.62, relative_absolute_error: 0.9197, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4779, root_relative_squared_error: 0.9608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9445, f_measure: 0.8764, kappa: 0.75, kb_relative_information_score: 9745.6481, mean_absolute_error: 0.1847, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8765, predictive_accuracy: 0.8766, prior_entropy: 0.9924, recall: 0.8766, relative_absolute_error: 0.3733, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3011, root_relative_squared_error: 0.6053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8833, f_measure: 0.7992, kappa: 0.5932, kb_relative_information_score: 6880.3889, mean_absolute_error: 0.2802, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8002, predictive_accuracy: 0.8002, prior_entropy: 0.9924, recall: 0.8002, relative_absolute_error: 0.5664, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.372, root_relative_squared_error: 0.7478,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6545, f_measure: 0.6164, kappa: 0.229, kb_relative_information_score: 1558.9938, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6286, predictive_accuracy: 0.6294, prior_entropy: 0.9924, recall: 0.6294, relative_absolute_error: 0.9094, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4756, root_relative_squared_error: 0.9563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6506, f_measure: 0.612, kappa: 0.2204, kb_relative_information_score: 1523.7236, mean_absolute_error: 0.4509, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6244, predictive_accuracy: 0.6254, prior_entropy: 0.9924, recall: 0.6254, relative_absolute_error: 0.9115, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4762, root_relative_squared_error: 0.9574,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6178, f_measure: 0.5742, kappa: 0.1505, kb_relative_information_score: 893.5263, mean_absolute_error: 0.4698, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5906, predictive_accuracy: 0.5945, prior_entropy: 0.9924, recall: 0.5945, relative_absolute_error: 0.9496, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4846, root_relative_squared_error: 0.9744,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6575, f_measure: 0.6106, kappa: 0.221, kb_relative_information_score: 1578.63, mean_absolute_error: 0.4492, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6284, predictive_accuracy: 0.6274, prior_entropy: 0.9924, recall: 0.6274, relative_absolute_error: 0.908, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4752, root_relative_squared_error: 0.9554,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6183, f_measure: 0.5679, kappa: 0.1474, kb_relative_information_score: 824.6248, mean_absolute_error: 0.4722, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5951, predictive_accuracy: 0.5961, prior_entropy: 0.9924, recall: 0.5961, relative_absolute_error: 0.9545, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4845, root_relative_squared_error: 0.9741,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: -0.2097, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6064, f_measure: 0.5736, kappa: 0.136, kb_relative_information_score: 581.1331, mean_absolute_error: 0.4784, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5731, predictive_accuracy: 0.5765, prior_entropy: 0.9924, recall: 0.5765, relative_absolute_error: 0.967, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4889, root_relative_squared_error: 0.983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8563, f_measure: 0.7702, kappa: 0.5343, kb_relative_information_score: 6062.8565, mean_absolute_error: 0.308, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7716, predictive_accuracy: 0.7716, prior_entropy: 0.9924, recall: 0.7716, relative_absolute_error: 0.6225, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3917, root_relative_squared_error: 0.7875,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: -0.2097, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6182, f_measure: 0.5692, kappa: 0.1514, kb_relative_information_score: 829.3379, mean_absolute_error: 0.4722, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5985, predictive_accuracy: 0.5984, prior_entropy: 0.9924, recall: 0.5984, relative_absolute_error: 0.9543, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4843, root_relative_squared_error: 0.9737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6412, f_measure: 0.5964, kappa: 0.1962, kb_relative_information_score: 1232.5839, mean_absolute_error: 0.4603, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6177, predictive_accuracy: 0.6168, prior_entropy: 0.9924, recall: 0.6168, relative_absolute_error: 0.9303, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4783, root_relative_squared_error: 0.9616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6313, f_measure: 0.5901, kappa: 0.1789, kb_relative_information_score: 1284.9695, mean_absolute_error: 0.4578, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6039, predictive_accuracy: 0.6067, prior_entropy: 0.9924, recall: 0.6067, relative_absolute_error: 0.9254, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4801, root_relative_squared_error: 0.9652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: -0.2097, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8687, f_measure: 0.7846, kappa: 0.5635, kb_relative_information_score: 6351.9478, mean_absolute_error: 0.2978, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7858, predictive_accuracy: 0.7858, prior_entropy: 0.9924, recall: 0.7858, relative_absolute_error: 0.602, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3837, root_relative_squared_error: 0.7715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6182, f_measure: 0.5678, kappa: 0.151, kb_relative_information_score: 799.5639, mean_absolute_error: 0.4731, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6, predictive_accuracy: 0.5989, prior_entropy: 0.9924, recall: 0.5989, relative_absolute_error: 0.9562, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4845, root_relative_squared_error: 0.9741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6102, f_measure: 0.5637, kappa: 0.1247, kb_relative_information_score: 700.6722, mean_absolute_error: 0.4751, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5733, predictive_accuracy: 0.5801, prior_entropy: 0.9924, recall: 0.5801, relative_absolute_error: 0.9603, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4868, root_relative_squared_error: 0.9787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7932, f_measure: 0.7075, kappa: 0.4076, kb_relative_information_score: 4215.8949, mean_absolute_error: 0.3672, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7116, predictive_accuracy: 0.7113, prior_entropy: 0.9924, recall: 0.7113, relative_absolute_error: 0.7421, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4284, root_relative_squared_error: 0.8613,

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