OpenML
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 9910 Supervised Classification Bioresponse 17585 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7831, f_measure: 0.7852, kappa: 0.5671, kb_relative_information_score: 2124.2821, mean_absolute_error: 0.2146, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7852, predictive_accuracy: 0.7854, prior_entropy: 0.9948, recall: 0.7854, relative_absolute_error: 0.4323, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4633, root_relative_squared_error: 0.9298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 281.3657, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7341, f_measure: 0.7366, kappa: 0.469, kb_relative_information_score: 1756.5071, mean_absolute_error: 0.2631, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7365, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.53, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.513, root_relative_squared_error: 1.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 281.3657, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5696, f_measure: 0.5232, kappa: 0.1484, kb_relative_information_score: 744.1155, mean_absolute_error: 0.3967, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6896, predictive_accuracy: 0.6033, prior_entropy: 0.9948, recall: 0.6033, relative_absolute_error: 0.7991, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6298, root_relative_squared_error: 1.2642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5428, f_measure: 0.472, kappa: 0.0919, kb_relative_information_score: 568.311, mean_absolute_error: 0.4199, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6929, predictive_accuracy: 0.5801, prior_entropy: 0.9948, recall: 0.5801, relative_absolute_error: 0.8458, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.648, root_relative_squared_error: 1.3006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 281.3657, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6755, f_measure: 0.6768, kappa: 0.3626, kb_relative_information_score: 1429.147, mean_absolute_error: 0.3063, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7159, predictive_accuracy: 0.6937, prior_entropy: 0.9948, recall: 0.6937, relative_absolute_error: 0.617, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5535, root_relative_squared_error: 1.1109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5514, f_measure: 0.4904, kappa: 0.11, kb_relative_information_score: 622.871, mean_absolute_error: 0.4127, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6838, predictive_accuracy: 0.5873, prior_entropy: 0.9948, recall: 0.5873, relative_absolute_error: 0.8313, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6424, root_relative_squared_error: 1.2894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 281.3657, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7788, f_measure: 0.7809, kappa: 0.5584, kb_relative_information_score: 2091.9503, mean_absolute_error: 0.2189, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7809, predictive_accuracy: 0.7811, prior_entropy: 0.9948, recall: 0.7811, relative_absolute_error: 0.4409, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4678, root_relative_squared_error: 0.939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, f_measure: 0.3825, kappa: 0.0013, kb_relative_information_score: 285.4072, mean_absolute_error: 0.4572, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7519, predictive_accuracy: 0.5428, prior_entropy: 0.9948, recall: 0.5428, relative_absolute_error: 0.921, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6762, root_relative_squared_error: 1.3572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7667, f_measure: 0.7687, kappa: 0.534, kb_relative_information_score: 1998.9962, mean_absolute_error: 0.2311, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7687, predictive_accuracy: 0.7689, prior_entropy: 0.9948, recall: 0.7689, relative_absolute_error: 0.4656, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4808, root_relative_squared_error: 0.965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7024, f_measure: 0.707, kappa: 0.409, kb_relative_information_score: 1550.3915, mean_absolute_error: 0.2903, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7098, predictive_accuracy: 0.7097, prior_entropy: 0.9948, recall: 0.7097, relative_absolute_error: 0.5848, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5388, root_relative_squared_error: 1.0815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5026, f_measure: 0.3867, kappa: 0.0057, kb_relative_information_score: 299.5523, mean_absolute_error: 0.4553, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7525, predictive_accuracy: 0.5447, prior_entropy: 0.9948, recall: 0.5447, relative_absolute_error: 0.9172, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6748, root_relative_squared_error: 1.3544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7742, f_measure: 0.777, kappa: 0.5501, kb_relative_information_score: 2063.6599, mean_absolute_error: 0.2226, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7771, predictive_accuracy: 0.7774, prior_entropy: 0.9948, recall: 0.7774, relative_absolute_error: 0.4484, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4718, root_relative_squared_error: 0.947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6885, f_measure: 0.6935, kappa: 0.3826, kb_relative_information_score: 1461.4789, mean_absolute_error: 0.3021, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6994, predictive_accuracy: 0.6979, prior_entropy: 0.9948, recall: 0.6979, relative_absolute_error: 0.6084, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5496, root_relative_squared_error: 1.1031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 281.3657, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 281.3657, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7169, f_measure: 0.7221, kappa: 0.4429, kb_relative_information_score: 1697.9056, mean_absolute_error: 0.2709, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.738, predictive_accuracy: 0.7291, prior_entropy: 0.9948, recall: 0.7291, relative_absolute_error: 0.5456, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5204, root_relative_squared_error: 1.0446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 281.3657, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5326, f_measure: 0.4505, kappa: 0.0702, kb_relative_information_score: 501.6265, mean_absolute_error: 0.4287, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7018, predictive_accuracy: 0.5713, prior_entropy: 0.9948, recall: 0.5713, relative_absolute_error: 0.8635, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6547, root_relative_squared_error: 1.3142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6697, f_measure: 0.6699, kappa: 0.3514, kb_relative_information_score: 1392.7736, mean_absolute_error: 0.3111, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7141, predictive_accuracy: 0.6889, prior_entropy: 0.9948, recall: 0.6889, relative_absolute_error: 0.6267, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5578, root_relative_squared_error: 1.1196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7858, f_measure: 0.7879, kappa: 0.5724, kb_relative_information_score: 2144.4896, mean_absolute_error: 0.2119, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7878, predictive_accuracy: 0.7881, prior_entropy: 0.9948, recall: 0.7881, relative_absolute_error: 0.4269, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4604, root_relative_squared_error: 0.9241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5026, f_measure: 0.3867, kappa: 0.0057, kb_relative_information_score: 299.5523, mean_absolute_error: 0.4553, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7525, predictive_accuracy: 0.5447, prior_entropy: 0.9948, recall: 0.5447, relative_absolute_error: 0.9172, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6748, root_relative_squared_error: 1.3544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7214, f_measure: 0.7268, kappa: 0.4517, kb_relative_information_score: 1728.2168, mean_absolute_error: 0.2669, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.741, predictive_accuracy: 0.7331, prior_entropy: 0.9948, recall: 0.7331, relative_absolute_error: 0.5376, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5166, root_relative_squared_error: 1.0369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6483, f_measure: 0.6431, kappa: 0.3091, kb_relative_information_score: 1255.3632, mean_absolute_error: 0.3292, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7065, predictive_accuracy: 0.6708, prior_entropy: 0.9948, recall: 0.6708, relative_absolute_error: 0.6632, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5738, root_relative_squared_error: 1.1517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5106, f_measure: 0.4059, kappa: 0.0229, kb_relative_information_score: 352.0916, mean_absolute_error: 0.4484, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6769, predictive_accuracy: 0.5516, prior_entropy: 0.9948, recall: 0.5516, relative_absolute_error: 0.9033, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6696, root_relative_squared_error: 1.3441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5029, f_measure: 0.3873, kappa: 0.0063, kb_relative_information_score: 301.5731, mean_absolute_error: 0.4551, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7526, predictive_accuracy: 0.5449, prior_entropy: 0.9948, recall: 0.5449, relative_absolute_error: 0.9167, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6746, root_relative_squared_error: 1.354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7716, f_measure: 0.7739, kappa: 0.5442, kb_relative_information_score: 2039.411, mean_absolute_error: 0.2258, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7739, predictive_accuracy: 0.7742, prior_entropy: 0.9948, recall: 0.7742, relative_absolute_error: 0.4549, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4752, root_relative_squared_error: 0.9538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5879, f_measure: 0.5529, kappa: 0.1867, kb_relative_information_score: 867.3808, mean_absolute_error: 0.3804, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6993, predictive_accuracy: 0.6196, prior_entropy: 0.9948, recall: 0.6196, relative_absolute_error: 0.7663, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6168, root_relative_squared_error: 1.238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6888, f_measure: 0.6937, kappa: 0.3831, kb_relative_information_score: 1463.4996, mean_absolute_error: 0.3018, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6997, predictive_accuracy: 0.6982, prior_entropy: 0.9948, recall: 0.6982, relative_absolute_error: 0.6079, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5494, root_relative_squared_error: 1.1026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7725, f_measure: 0.7751, kappa: 0.5465, kb_relative_information_score: 2049.5147, mean_absolute_error: 0.2245, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7752, predictive_accuracy: 0.7755, prior_entropy: 0.9948, recall: 0.7755, relative_absolute_error: 0.4522, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4738, root_relative_squared_error: 0.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5827, f_measure: 0.5449, kappa: 0.1756, kb_relative_information_score: 831.0074, mean_absolute_error: 0.3852, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6948, predictive_accuracy: 0.6148, prior_entropy: 0.9948, recall: 0.6148, relative_absolute_error: 0.776, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6207, root_relative_squared_error: 1.2458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 281.3657, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 281.3657, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 281.3657, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7099, f_measure: 0.7141, kappa: 0.4231, kb_relative_information_score: 1596.8685, mean_absolute_error: 0.2842, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7154, predictive_accuracy: 0.7158, prior_entropy: 0.9948, recall: 0.7158, relative_absolute_error: 0.5725, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5331, root_relative_squared_error: 1.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6887, f_measure: 0.6921, kappa: 0.3881, kb_relative_information_score: 1511.9974, mean_absolute_error: 0.2954, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7206, predictive_accuracy: 0.7046, prior_entropy: 0.9948, recall: 0.7046, relative_absolute_error: 0.595, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5435, root_relative_squared_error: 1.0909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7781, f_measure: 0.7804, kappa: 0.5572, kb_relative_information_score: 2087.9088, mean_absolute_error: 0.2194, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7803, predictive_accuracy: 0.7806, prior_entropy: 0.9948, recall: 0.7806, relative_absolute_error: 0.442, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4684, root_relative_squared_error: 0.9402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7578, f_measure: 0.7593, kappa: 0.5154, kb_relative_information_score: 1926.2495, mean_absolute_error: 0.2407, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7594, predictive_accuracy: 0.7593, prior_entropy: 0.9948, recall: 0.7593, relative_absolute_error: 0.4849, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4906, root_relative_squared_error: 0.9848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 281.3657, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 281.3657, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6707, f_measure: 0.675, kappa: 0.3488, kb_relative_information_score: 1352.3588, mean_absolute_error: 0.3164, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6888, predictive_accuracy: 0.6836, prior_entropy: 0.9948, recall: 0.6836, relative_absolute_error: 0.6374, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5625, root_relative_squared_error: 1.1291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7858, f_measure: 0.7879, kappa: 0.5724, kb_relative_information_score: 2144.4896, mean_absolute_error: 0.2119, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7878, predictive_accuracy: 0.7881, prior_entropy: 0.9948, recall: 0.7881, relative_absolute_error: 0.4269, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4604, root_relative_squared_error: 0.9241,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7327, f_measure: 0.7345, kappa: 0.4652, kb_relative_information_score: 1738.3205, mean_absolute_error: 0.2655, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7345, predictive_accuracy: 0.7345, prior_entropy: 0.9948, recall: 0.7345, relative_absolute_error: 0.5349, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5153, root_relative_squared_error: 1.0343,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8146, f_measure: 0.7494, kappa: 0.4944, kb_relative_information_score: 865.0979, mean_absolute_error: 0.4009, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7519, predictive_accuracy: 0.7513, prior_entropy: 0.9948, recall: 0.7513, relative_absolute_error: 0.8075, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4283, root_relative_squared_error: 0.8596, scimark_benchmark: 1718.2275, usercpu_time_millis: 272.507, usercpu_time_millis_testing: 2.139, usercpu_time_millis_training: 270.368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8714, f_measure: 0.8014, kappa: 0.5994, kb_relative_information_score: 1334.0147, mean_absolute_error: 0.3396, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8014, predictive_accuracy: 0.8017, prior_entropy: 0.9948, recall: 0.8017, relative_absolute_error: 0.6841, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3897, root_relative_squared_error: 0.7822, scimark_benchmark: 1795.234, usercpu_time_millis: 194.213, usercpu_time_millis_testing: 2.576, usercpu_time_millis_training: 191.637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7933, f_measure: 0.7349, kappa: 0.4664, kb_relative_information_score: 596.008, mean_absolute_error: 0.4334, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7351, predictive_accuracy: 0.7347, prior_entropy: 0.9948, recall: 0.7347, relative_absolute_error: 0.873, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4491, root_relative_squared_error: 0.9013, scimark_benchmark: 1735.1328, usercpu_time_millis: 111.842, usercpu_time_millis_testing: 1.314, usercpu_time_millis_training: 110.528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.829, f_measure: 0.7614, kappa: 0.5184, kb_relative_information_score: 1109.9642, mean_absolute_error: 0.3688, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.763, predictive_accuracy: 0.7627, prior_entropy: 0.9948, recall: 0.7627, relative_absolute_error: 0.7429, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4129, root_relative_squared_error: 0.8288, scimark_benchmark: 1742.6154, usercpu_time_millis: 58.001, usercpu_time_millis_testing: 0.777, usercpu_time_millis_training: 57.224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.791, f_measure: 0.7155, kappa: 0.4261, kb_relative_information_score: 535.3083, mean_absolute_error: 0.4401, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7154, predictive_accuracy: 0.7161, prior_entropy: 0.9948, recall: 0.7161, relative_absolute_error: 0.8865, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4527, root_relative_squared_error: 0.9086, scimark_benchmark: 1777.4025, usercpu_time_millis: 37.863, usercpu_time_millis_testing: 1.088, usercpu_time_millis_training: 36.775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3813, kb_relative_information_score: 0.1307, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1730.1903, usercpu_time_millis: 7.45, usercpu_time_millis_testing: 1.046, usercpu_time_millis_training: 6.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8744, f_measure: 0.8025, kappa: 0.6016, kb_relative_information_score: 1654.4142, mean_absolute_error: 0.2936, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8029, predictive_accuracy: 0.803, prior_entropy: 0.9948, recall: 0.803, relative_absolute_error: 0.5914, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3772, root_relative_squared_error: 0.7572, scimark_benchmark: 1729.1525, usercpu_time_millis: 9130.409, usercpu_time_millis_testing: 4.166, usercpu_time_millis_training: 9126.243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.877, f_measure: 0.8092, kappa: 0.6151, kb_relative_information_score: 1626.9978, mean_absolute_error: 0.2983, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8096, predictive_accuracy: 0.8097, prior_entropy: 0.9948, recall: 0.8097, relative_absolute_error: 0.6008, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3759, root_relative_squared_error: 0.7546, scimark_benchmark: 1852.9259, usercpu_time_millis: 5003.172, usercpu_time_millis_testing: 5.733, usercpu_time_millis_training: 4997.439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.7979, kappa: 0.5923, kb_relative_information_score: 1531.8138, mean_absolute_error: 0.3113, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7983, predictive_accuracy: 0.7985, prior_entropy: 0.9948, recall: 0.7985, relative_absolute_error: 0.6272, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3838, root_relative_squared_error: 0.7704, scimark_benchmark: 1736.9559, usercpu_time_millis: 2030.292, usercpu_time_millis_testing: 2.293, usercpu_time_millis_training: 2027.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.7492, kappa: 0.4943, kb_relative_information_score: 1246.5073, mean_absolute_error: 0.3492, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7545, predictive_accuracy: 0.7521, prior_entropy: 0.9948, recall: 0.7521, relative_absolute_error: 0.7035, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4133, root_relative_squared_error: 0.8295, scimark_benchmark: 1730.591, usercpu_time_millis: 2003.688, usercpu_time_millis_testing: 1.82, usercpu_time_millis_training: 2001.868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8797, f_measure: 0.8106, kappa: 0.6181, kb_relative_information_score: 1709.9223, mean_absolute_error: 0.286, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8108, predictive_accuracy: 0.811, prior_entropy: 0.9948, recall: 0.811, relative_absolute_error: 0.5762, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3727, root_relative_squared_error: 0.7481, scimark_benchmark: 1842.6679, usercpu_time_millis: 4208.705, usercpu_time_millis_testing: 4.747, usercpu_time_millis_training: 4203.958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8671, f_measure: 0.7996, kappa: 0.5957, kb_relative_information_score: 1483.7504, mean_absolute_error: 0.3183, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7999, predictive_accuracy: 0.8001, prior_entropy: 0.9948, recall: 0.8001, relative_absolute_error: 0.6412, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3851, root_relative_squared_error: 0.773, scimark_benchmark: 1733.3606, usercpu_time_millis: 1443.501, usercpu_time_millis_testing: 4.041, usercpu_time_millis_training: 1439.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8579, f_measure: 0.7913, kappa: 0.579, kb_relative_information_score: 1434.6423, mean_absolute_error: 0.3245, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7916, predictive_accuracy: 0.7918, prior_entropy: 0.9948, recall: 0.7918, relative_absolute_error: 0.6537, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.391, root_relative_squared_error: 0.7847, scimark_benchmark: 1734.7321, usercpu_time_millis: 1353.577, usercpu_time_millis_testing: 2.937, usercpu_time_millis_training: 1350.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8305, f_measure: 0.7635, kappa: 0.5228, kb_relative_information_score: 1218.0288, mean_absolute_error: 0.3537, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7658, predictive_accuracy: 0.7651, prior_entropy: 0.9948, recall: 0.7651, relative_absolute_error: 0.7126, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4096, root_relative_squared_error: 0.8222, scimark_benchmark: 1724.0704, usercpu_time_millis: 1002.076, usercpu_time_millis_testing: 2.23, usercpu_time_millis_training: 999.846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8799, f_measure: 0.8107, kappa: 0.6183, kb_relative_information_score: 1700.3613, mean_absolute_error: 0.2875, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8108, predictive_accuracy: 0.811, prior_entropy: 0.9948, recall: 0.811, relative_absolute_error: 0.5791, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3727, root_relative_squared_error: 0.748, scimark_benchmark: 1745.5422, usercpu_time_millis: 3514.13, usercpu_time_millis_testing: 4.957, usercpu_time_millis_training: 3509.173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8568, f_measure: 0.7876, kappa: 0.5716, kb_relative_information_score: 1370.0711, mean_absolute_error: 0.3337, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7878, predictive_accuracy: 0.7881, prior_entropy: 0.9948, recall: 0.7881, relative_absolute_error: 0.6721, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3934, root_relative_squared_error: 0.7897, scimark_benchmark: 1731.5618, usercpu_time_millis: 578.452, usercpu_time_millis_testing: 2.831, usercpu_time_millis_training: 575.621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8693, f_measure: 0.8026, kappa: 0.6019, kb_relative_information_score: 1367.313, mean_absolute_error: 0.3349, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8028, predictive_accuracy: 0.803, prior_entropy: 0.9948, recall: 0.803, relative_absolute_error: 0.6745, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3888, root_relative_squared_error: 0.7804, scimark_benchmark: 1731.5618, usercpu_time_millis: 552.141, usercpu_time_millis_testing: 5.368, usercpu_time_millis_training: 546.773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8703, f_measure: 0.8027, kappa: 0.6021, kb_relative_information_score: 1598.2487, mean_absolute_error: 0.3015, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8031, predictive_accuracy: 0.8033, prior_entropy: 0.9948, recall: 0.8033, relative_absolute_error: 0.6074, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.7642, scimark_benchmark: 1730.1903, usercpu_time_millis: 472.181, usercpu_time_millis_testing: 1.103, usercpu_time_millis_training: 471.078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8651, f_measure: 0.7977, kappa: 0.592, kb_relative_information_score: 1344.0457, mean_absolute_error: 0.3377, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.798, predictive_accuracy: 0.7982, prior_entropy: 0.9948, recall: 0.7982, relative_absolute_error: 0.6803, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3914, root_relative_squared_error: 0.7856, scimark_benchmark: 1735.1328, usercpu_time_millis: 412.738, usercpu_time_millis_testing: 3.142, usercpu_time_millis_training: 409.596,

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