OpenML
Supervised Classification on madelon

Supervised Classification on madelon

Task 9976 Supervised Classification madelon 57199 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_98 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7347, f_measure: 0.6908, kappa: 0.3854, kb_relative_information_score: 377.5191, mean_absolute_error: 0.4404, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6974, predictive_accuracy: 0.6927, prior_entropy: 1, recall: 0.6927, relative_absolute_error: 0.8808, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.46, root_relative_squared_error: 0.9201, scimark_benchmark: 1857.5664, usercpu_time_millis: 105.413, usercpu_time_millis_testing: 0.922, usercpu_time_millis_training: 104.491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, f_measure: 0.7956, kappa: 0.5915, kb_relative_information_score: 819.2146, mean_absolute_error: 0.3638, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7968, predictive_accuracy: 0.7958, prior_entropy: 1, recall: 0.7958, relative_absolute_error: 0.7276, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3996, root_relative_squared_error: 0.7992, scimark_benchmark: 1856.6531, usercpu_time_millis: 126.172, usercpu_time_millis_testing: 0.401, usercpu_time_millis_training: 125.771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7424, f_measure: 0.6875, kappa: 0.3785, kb_relative_information_score: 385.9665, mean_absolute_error: 0.439, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6935, predictive_accuracy: 0.6892, prior_entropy: 1, recall: 0.6892, relative_absolute_error: 0.878, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4575, root_relative_squared_error: 0.9151, scimark_benchmark: 1857.5664, usercpu_time_millis: 92.365, usercpu_time_millis_testing: 1.026, usercpu_time_millis_training: 91.339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8034, f_measure: 0.7242, kappa: 0.4515, kb_relative_information_score: 540.6226, mean_absolute_error: 0.412, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7312, predictive_accuracy: 0.7258, prior_entropy: 1, recall: 0.7258, relative_absolute_error: 0.8241, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4366, root_relative_squared_error: 0.8731, scimark_benchmark: 1857.5664, usercpu_time_millis: 111.584, usercpu_time_millis_testing: 1.002, usercpu_time_millis_training: 110.582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8065, f_measure: 0.7293, kappa: 0.4615, kb_relative_information_score: 562.5933, mean_absolute_error: 0.4079, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7358, predictive_accuracy: 0.7308, prior_entropy: 1, recall: 0.7308, relative_absolute_error: 0.8159, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4344, root_relative_squared_error: 0.8687, scimark_benchmark: 1855.6669, usercpu_time_millis: 141.279, usercpu_time_millis_testing: 1.286, usercpu_time_millis_training: 139.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, kb_relative_information_score: -0, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1844.3569, usercpu_time_millis: 4.223, usercpu_time_millis_testing: 0.764, usercpu_time_millis_training: 3.459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, kb_relative_information_score: -0, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1855.2816, usercpu_time_millis: 3.225, usercpu_time_millis_testing: 0.521, usercpu_time_millis_training: 2.704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1821.6721, usercpu_time_millis: 3.532, usercpu_time_millis_testing: 0.682, usercpu_time_millis_training: 2.85,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6486, f_measure: 0.6184, kappa: 0.2369, kb_relative_information_score: 31.3713, mean_absolute_error: 0.4957, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6185, predictive_accuracy: 0.6185, prior_entropy: 1, recall: 0.6185, relative_absolute_error: 0.9914, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.496, root_relative_squared_error: 0.9919, scimark_benchmark: 1717.9763, usercpu_time_millis: 2.522, usercpu_time_millis_testing: 0.417, usercpu_time_millis_training: 2.105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4792, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1854.4665, usercpu_time_millis: 2.781, usercpu_time_millis_testing: 0.467, usercpu_time_millis_training: 2.314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1837.3572, usercpu_time_millis: 5.01, usercpu_time_millis_testing: 0.898, usercpu_time_millis_training: 4.112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1838.1407, usercpu_time_millis: 4.738, usercpu_time_millis_testing: 0.881, usercpu_time_millis_training: 3.857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6516, f_measure: 0.6118, kappa: 0.2238, kb_relative_information_score: 178.3677, mean_absolute_error: 0.4734, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6121, predictive_accuracy: 0.6119, prior_entropy: 1, recall: 0.6119, relative_absolute_error: 0.9468, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4836, root_relative_squared_error: 0.9672, scimark_benchmark: 1860.2646, usercpu_time_millis: 8.634, usercpu_time_millis_testing: 0.444, usercpu_time_millis_training: 8.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6665, f_measure: 0.6146, kappa: 0.2292, kb_relative_information_score: 176.4614, mean_absolute_error: 0.4737, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6147, predictive_accuracy: 0.6146, prior_entropy: 1, recall: 0.6146, relative_absolute_error: 0.9474, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4821, root_relative_squared_error: 0.9642, scimark_benchmark: 1839.2203, usercpu_time_millis: 10.656, usercpu_time_millis_testing: 0.48, usercpu_time_millis_training: 10.176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8638, f_measure: 0.7888, kappa: 0.5777, kb_relative_information_score: 849.899, mean_absolute_error: 0.3562, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7891, predictive_accuracy: 0.7888, prior_entropy: 1, recall: 0.7888, relative_absolute_error: 0.7124, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3996, root_relative_squared_error: 0.7993, scimark_benchmark: 1837.799, usercpu_time_millis: 10.853, usercpu_time_millis_testing: 0.395, usercpu_time_millis_training: 10.458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.744, f_measure: 0.689, kappa: 0.3815, kb_relative_information_score: 395.6798, mean_absolute_error: 0.4373, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6952, predictive_accuracy: 0.6908, prior_entropy: 1, recall: 0.6908, relative_absolute_error: 0.8745, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4569, root_relative_squared_error: 0.9138, scimark_benchmark: 1843.3864, usercpu_time_millis: 8.877, usercpu_time_millis_testing: 0.39, usercpu_time_millis_training: 8.487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8462, f_measure: 0.7661, kappa: 0.5331, kb_relative_information_score: 663.2646, mean_absolute_error: 0.392, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7687, predictive_accuracy: 0.7665, prior_entropy: 1, recall: 0.7665, relative_absolute_error: 0.7839, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.419, root_relative_squared_error: 0.838, scimark_benchmark: 1836.8516, usercpu_time_millis: 10.485, usercpu_time_millis_testing: 0.276, usercpu_time_millis_training: 10.209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4505, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1848.5009, usercpu_time_millis: 4.339, usercpu_time_millis_testing: 0.696, usercpu_time_millis_training: 3.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1705.6845, usercpu_time_millis: 3.126, usercpu_time_millis_testing: 0.501, usercpu_time_millis_training: 2.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6478, f_measure: 0.6148, kappa: 0.23, kb_relative_information_score: 183.7791, mean_absolute_error: 0.4726, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6152, predictive_accuracy: 0.615, prior_entropy: 1, recall: 0.615, relative_absolute_error: 0.9452, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4839, root_relative_squared_error: 0.9678, scimark_benchmark: 1855.1417, usercpu_time_millis: 29.154, usercpu_time_millis_testing: 0.665, usercpu_time_millis_training: 28.489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1847.289, usercpu_time_millis: 4.349, usercpu_time_millis_testing: 0.803, usercpu_time_millis_training: 3.546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6612, f_measure: 0.606, kappa: 0.2123, kb_relative_information_score: 134.5931, mean_absolute_error: 0.4804, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6063, predictive_accuracy: 0.6062, prior_entropy: 1, recall: 0.6062, relative_absolute_error: 0.9608, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4853, root_relative_squared_error: 0.9705, scimark_benchmark: 1853.454, usercpu_time_millis: 6.752, usercpu_time_millis_testing: 0.547, usercpu_time_millis_training: 6.205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6541, f_measure: 0.6151, kappa: 0.2308, kb_relative_information_score: 154.668, mean_absolute_error: 0.4773, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6157, predictive_accuracy: 0.6154, prior_entropy: 1, recall: 0.6154, relative_absolute_error: 0.9546, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4846, root_relative_squared_error: 0.9691, scimark_benchmark: 1799.1051, usercpu_time_millis: 17.025, usercpu_time_millis_testing: 0.602, usercpu_time_millis_training: 16.423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6874, f_measure: 0.6326, kappa: 0.2685, kb_relative_information_score: 292.5297, mean_absolute_error: 0.4543, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6367, predictive_accuracy: 0.6342, prior_entropy: 1, recall: 0.6342, relative_absolute_error: 0.9086, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4719, root_relative_squared_error: 0.9438, scimark_benchmark: 1815.0712, usercpu_time_millis: 2.71, usercpu_time_millis_testing: 0.374, usercpu_time_millis_training: 2.336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1812.2788, usercpu_time_millis: 4.099, usercpu_time_millis_testing: 0.762, usercpu_time_millis_training: 3.337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7336, f_measure: 0.6866, kappa: 0.3769, kb_relative_information_score: 360.2349, mean_absolute_error: 0.4436, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6929, predictive_accuracy: 0.6885, prior_entropy: 1, recall: 0.6885, relative_absolute_error: 0.8871, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4607, root_relative_squared_error: 0.9214, scimark_benchmark: 1817.1684, usercpu_time_millis: 5.974, usercpu_time_millis_testing: 0.391, usercpu_time_millis_training: 5.583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8046, f_measure: 0.7304, kappa: 0.4631, kb_relative_information_score: 472.4693, mean_absolute_error: 0.4256, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7355, predictive_accuracy: 0.7315, prior_entropy: 1, recall: 0.7315, relative_absolute_error: 0.8511, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4423, root_relative_squared_error: 0.8847, scimark_benchmark: 1843.3864, usercpu_time_millis: 18.815, usercpu_time_millis_testing: 0.362, usercpu_time_millis_training: 18.453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6551, f_measure: 0.6155, kappa: 0.2315, kb_relative_information_score: 172.5851, mean_absolute_error: 0.4744, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6161, predictive_accuracy: 0.6158, prior_entropy: 1, recall: 0.6158, relative_absolute_error: 0.9488, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4839, root_relative_squared_error: 0.9678, scimark_benchmark: 1839.6024, usercpu_time_millis: 15.44, usercpu_time_millis_testing: 0.531, usercpu_time_millis_training: 14.909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6758, f_measure: 0.6067, kappa: 0.2146, kb_relative_information_score: 157.7022, mean_absolute_error: 0.4767, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6079, predictive_accuracy: 0.6073, prior_entropy: 1, recall: 0.6073, relative_absolute_error: 0.9535, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4824, root_relative_squared_error: 0.9649, scimark_benchmark: 1715.2408, usercpu_time_millis: 3.725, usercpu_time_millis_testing: 0.435, usercpu_time_millis_training: 3.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6832, f_measure: 0.6164, kappa: 0.2331, kb_relative_information_score: 230.3544, mean_absolute_error: 0.4649, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6167, predictive_accuracy: 0.6165, prior_entropy: 1, recall: 0.6165, relative_absolute_error: 0.9298, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4761, root_relative_squared_error: 0.9522, scimark_benchmark: 1811.8596, usercpu_time_millis: 11.749, usercpu_time_millis_testing: 0.431, usercpu_time_millis_training: 11.318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7482, f_measure: 0.6862, kappa: 0.3762, kb_relative_information_score: 345.3115, mean_absolute_error: 0.4466, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6928, predictive_accuracy: 0.6881, prior_entropy: 1, recall: 0.6881, relative_absolute_error: 0.8932, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4598, root_relative_squared_error: 0.9195, scimark_benchmark: 1815.5992, usercpu_time_millis: 11.765, usercpu_time_millis_testing: 0.463, usercpu_time_millis_training: 11.302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8414, f_measure: 0.7723, kappa: 0.5446, kb_relative_information_score: 963.86, mean_absolute_error: 0.3298, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7723, predictive_accuracy: 0.7723, prior_entropy: 1, recall: 0.7723, relative_absolute_error: 0.6596, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4033, root_relative_squared_error: 0.8065, scimark_benchmark: 1835.2001, usercpu_time_millis: 14.501, usercpu_time_millis_testing: 0.391, usercpu_time_millis_training: 14.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7253, f_measure: 0.6496, kappa: 0.3031, kb_relative_information_score: 299.8559, mean_absolute_error: 0.4538, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.655, predictive_accuracy: 0.6515, prior_entropy: 1, recall: 0.6515, relative_absolute_error: 0.9076, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4657, root_relative_squared_error: 0.9313, scimark_benchmark: 1843.9528, usercpu_time_millis: 39.595, usercpu_time_millis_testing: 0.894, usercpu_time_millis_training: 38.701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6149, f_measure: 0.6161, kappa: 0.2331, kb_relative_information_score: 188.2301, mean_absolute_error: 0.472, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6171, predictive_accuracy: 0.6165, prior_entropy: 1, recall: 0.6165, relative_absolute_error: 0.944, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4861, root_relative_squared_error: 0.9723, scimark_benchmark: 1841.7813, usercpu_time_millis: 58.038, usercpu_time_millis_testing: 0.751, usercpu_time_millis_training: 57.287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7853, f_measure: 0.7134, kappa: 0.4292, kb_relative_information_score: 314.318, mean_absolute_error: 0.4527, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7183, predictive_accuracy: 0.7146, prior_entropy: 1, recall: 0.7146, relative_absolute_error: 0.9054, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4601, root_relative_squared_error: 0.9201, scimark_benchmark: 1833.1288, usercpu_time_millis: 28.724, usercpu_time_millis_testing: 1.145, usercpu_time_millis_training: 27.579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7255, f_measure: 0.642, kappa: 0.2854, kb_relative_information_score: 224.1923, mean_absolute_error: 0.4666, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6439, predictive_accuracy: 0.6427, prior_entropy: 1, recall: 0.6427, relative_absolute_error: 0.9332, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4726, root_relative_squared_error: 0.9452, scimark_benchmark: 1856.6531, usercpu_time_millis: 28.54, usercpu_time_millis_testing: 1.127, usercpu_time_millis_training: 27.413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7129, f_measure: 0.6286, kappa: 0.2585, kb_relative_information_score: 240.4818, mean_absolute_error: 0.4637, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6302, predictive_accuracy: 0.6292, prior_entropy: 1, recall: 0.6292, relative_absolute_error: 0.9274, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4719, root_relative_squared_error: 0.9438, scimark_benchmark: 1837.1192, usercpu_time_millis: 22.404, usercpu_time_millis_testing: 0.717, usercpu_time_millis_training: 21.687,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7828, f_measure: 0.7118, kappa: 0.4262, kb_relative_information_score: 366.2456, mean_absolute_error: 0.4438, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.717, predictive_accuracy: 0.7131, prior_entropy: 1, recall: 0.7131, relative_absolute_error: 0.8875, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4547, root_relative_squared_error: 0.9094, scimark_benchmark: 1841.6688, usercpu_time_millis: 90.444, usercpu_time_millis_testing: 1.918, usercpu_time_millis_training: 88.526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7498, f_measure: 0.6935, kappa: 0.39, kb_relative_information_score: 417.6533, mean_absolute_error: 0.4335, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6989, predictive_accuracy: 0.695, prior_entropy: 1, recall: 0.695, relative_absolute_error: 0.8669, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4546, root_relative_squared_error: 0.9093, scimark_benchmark: 1850.1264, usercpu_time_millis: 102.354, usercpu_time_millis_testing: 0.774, usercpu_time_millis_training: 101.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7151, f_measure: 0.6426, kappa: 0.3085, kb_relative_information_score: 370.098, mean_absolute_error: 0.4411, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6773, predictive_accuracy: 0.6542, prior_entropy: 1, recall: 0.6542, relative_absolute_error: 0.8822, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4648, root_relative_squared_error: 0.9295, scimark_benchmark: 1849.2586, usercpu_time_millis: 89.337, usercpu_time_millis_testing: 0.658, usercpu_time_millis_training: 88.679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8189, f_measure: 0.7377, kappa: 0.4785, kb_relative_information_score: 470.8449, mean_absolute_error: 0.4263, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7448, predictive_accuracy: 0.7392, prior_entropy: 1, recall: 0.7392, relative_absolute_error: 0.8526, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.441, root_relative_squared_error: 0.882, scimark_benchmark: 1839.7911, usercpu_time_millis: 97.515, usercpu_time_millis_testing: 1.891, usercpu_time_millis_training: 95.624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8349, f_measure: 0.7552, kappa: 0.5123, kb_relative_information_score: 629.9422, mean_absolute_error: 0.3975, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7604, predictive_accuracy: 0.7562, prior_entropy: 1, recall: 0.7562, relative_absolute_error: 0.795, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4244, root_relative_squared_error: 0.8488, scimark_benchmark: 1844.3569, usercpu_time_millis: 82.977, usercpu_time_millis_testing: 0.47, usercpu_time_millis_training: 82.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7331, f_measure: 0.6861, kappa: 0.3785, kb_relative_information_score: 384.6764, mean_absolute_error: 0.439, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.697, predictive_accuracy: 0.6892, prior_entropy: 1, recall: 0.6892, relative_absolute_error: 0.878, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4601, root_relative_squared_error: 0.9202, scimark_benchmark: 1836.6789, usercpu_time_millis: 88.2, usercpu_time_millis_testing: 0.657, usercpu_time_millis_training: 87.543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7982, f_measure: 0.7286, kappa: 0.4615, kb_relative_information_score: 544.0143, mean_absolute_error: 0.4116, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7384, predictive_accuracy: 0.7308, prior_entropy: 1, recall: 0.7308, relative_absolute_error: 0.8232, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4371, root_relative_squared_error: 0.8741, scimark_benchmark: 1849.9303, usercpu_time_millis: 100.738, usercpu_time_millis_testing: 0.425, usercpu_time_millis_training: 100.313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8252, f_measure: 0.7408, kappa: 0.4846, kb_relative_information_score: 446.6828, mean_absolute_error: 0.4308, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7481, predictive_accuracy: 0.7423, prior_entropy: 1, recall: 0.7423, relative_absolute_error: 0.8617, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4429, root_relative_squared_error: 0.8859, scimark_benchmark: 1835.1458, usercpu_time_millis: 68.991, usercpu_time_millis_testing: 1.529, usercpu_time_millis_training: 67.462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8008, f_measure: 0.7277, kappa: 0.4585, kb_relative_information_score: 428.3295, mean_absolute_error: 0.4334, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7343, predictive_accuracy: 0.7292, prior_entropy: 1, recall: 0.7292, relative_absolute_error: 0.8668, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4469, root_relative_squared_error: 0.8939, scimark_benchmark: 1814.6858, usercpu_time_millis: 73.297, usercpu_time_millis_testing: 1.112, usercpu_time_millis_training: 72.185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7584, f_measure: 0.7013, kappa: 0.4062, kb_relative_information_score: 410.508, mean_absolute_error: 0.4351, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7079, predictive_accuracy: 0.7031, prior_entropy: 1, recall: 0.7031, relative_absolute_error: 0.8701, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4533, root_relative_squared_error: 0.9065, scimark_benchmark: 1842.1399, usercpu_time_millis: 73.685, usercpu_time_millis_testing: 0.917, usercpu_time_millis_training: 72.768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7511, f_measure: 0.682, kappa: 0.3677, kb_relative_information_score: 317.3887, mean_absolute_error: 0.4515, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6883, predictive_accuracy: 0.6838, prior_entropy: 1, recall: 0.6838, relative_absolute_error: 0.9029, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.462, root_relative_squared_error: 0.9239, scimark_benchmark: 1852.6763, usercpu_time_millis: 116.894, usercpu_time_millis_testing: 1.869, usercpu_time_millis_training: 115.025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6904, f_measure: 0.6185, kappa: 0.2369, kb_relative_information_score: 236.4623, mean_absolute_error: 0.4639, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6185, predictive_accuracy: 0.6185, prior_entropy: 1, recall: 0.6185, relative_absolute_error: 0.9279, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.475, root_relative_squared_error: 0.95, scimark_benchmark: 1829.8658, usercpu_time_millis: 77.808, usercpu_time_millis_testing: 1.102, usercpu_time_millis_training: 76.706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7949, f_measure: 0.7202, kappa: 0.4438, kb_relative_information_score: 546.763, mean_absolute_error: 0.4101, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7275, predictive_accuracy: 0.7219, prior_entropy: 1, recall: 0.7219, relative_absolute_error: 0.8202, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4376, root_relative_squared_error: 0.8751, scimark_benchmark: 1850.5112, usercpu_time_millis: 99.154, usercpu_time_millis_testing: 0.819, usercpu_time_millis_training: 98.335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8516, f_measure: 0.7722, kappa: 0.5446, kb_relative_information_score: 742.2908, mean_absolute_error: 0.3765, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7731, predictive_accuracy: 0.7723, prior_entropy: 1, recall: 0.7723, relative_absolute_error: 0.7529, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4112, root_relative_squared_error: 0.8225, scimark_benchmark: 1842.2127, usercpu_time_millis: 93.143, usercpu_time_millis_testing: 0.368, usercpu_time_millis_training: 92.775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8674, f_measure: 0.7919, kappa: 0.5846, kb_relative_information_score: 716.1545, mean_absolute_error: 0.3832, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7947, predictive_accuracy: 0.7923, prior_entropy: 1, recall: 0.7923, relative_absolute_error: 0.7664, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4103, root_relative_squared_error: 0.8205, scimark_benchmark: 1838.3764, usercpu_time_millis: 128.312, usercpu_time_millis_testing: 0.69, usercpu_time_millis_training: 127.622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8395, f_measure: 0.7454, kappa: 0.4931, kb_relative_information_score: 447.9631, mean_absolute_error: 0.4311, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7511, predictive_accuracy: 0.7465, prior_entropy: 1, recall: 0.7465, relative_absolute_error: 0.8622, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4419, root_relative_squared_error: 0.8838, scimark_benchmark: 1843.3864, usercpu_time_millis: 126.722, usercpu_time_millis_testing: 2.92, usercpu_time_millis_training: 123.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8176, f_measure: 0.7403, kappa: 0.4838, kb_relative_information_score: 469.3584, mean_absolute_error: 0.4266, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7481, predictive_accuracy: 0.7419, prior_entropy: 1, recall: 0.7419, relative_absolute_error: 0.8531, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4413, root_relative_squared_error: 0.8826, scimark_benchmark: 1847.011, usercpu_time_millis: 115.098, usercpu_time_millis_testing: 1.612, usercpu_time_millis_training: 113.486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8304, f_measure: 0.7488, kappa: 0.5, kb_relative_information_score: 586.9468, mean_absolute_error: 0.4053, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.755, predictive_accuracy: 0.75, prior_entropy: 1, recall: 0.75, relative_absolute_error: 0.8105, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4284, root_relative_squared_error: 0.8568, scimark_benchmark: 1833.2854, usercpu_time_millis: 135.485, usercpu_time_millis_testing: 0.961, usercpu_time_millis_training: 134.524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.752, f_measure: 0.6882, kappa: 0.3815, kb_relative_information_score: 438.1331, mean_absolute_error: 0.4294, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6972, predictive_accuracy: 0.6908, prior_entropy: 1, recall: 0.6908, relative_absolute_error: 0.8588, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.453, root_relative_squared_error: 0.906, scimark_benchmark: 1848.7762, usercpu_time_millis: 126.662, usercpu_time_millis_testing: 0.786, usercpu_time_millis_training: 125.876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8697, f_measure: 0.7965, kappa: 0.5931, kb_relative_information_score: 865.877, mean_absolute_error: 0.3538, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7966, predictive_accuracy: 0.7965, prior_entropy: 1, recall: 0.7965, relative_absolute_error: 0.7077, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3966, root_relative_squared_error: 0.7932, scimark_benchmark: 1822.243, usercpu_time_millis: 103.512, usercpu_time_millis_testing: 0.323, usercpu_time_millis_training: 103.189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8944, f_measure: 0.8296, kappa: 0.6592, kb_relative_information_score: 918.0679, mean_absolute_error: 0.3469, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8299, predictive_accuracy: 0.8296, prior_entropy: 1, recall: 0.8296, relative_absolute_error: 0.6938, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3839, root_relative_squared_error: 0.7679, scimark_benchmark: 1841.1522, usercpu_time_millis: 131.613, usercpu_time_millis_testing: 0.636, usercpu_time_millis_training: 130.977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9094, f_measure: 0.8438, kappa: 0.6877, kb_relative_information_score: 984.2005, mean_absolute_error: 0.3354, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.844, predictive_accuracy: 0.8438, prior_entropy: 1, recall: 0.8438, relative_absolute_error: 0.6708, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3728, root_relative_squared_error: 0.7457, scimark_benchmark: 1838.6293, usercpu_time_millis: 108.13, usercpu_time_millis_testing: 0.473, usercpu_time_millis_training: 107.657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8158, f_measure: 0.7341, kappa: 0.4708, kb_relative_information_score: 604.4776, mean_absolute_error: 0.4007, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.74, predictive_accuracy: 0.7354, prior_entropy: 1, recall: 0.7354, relative_absolute_error: 0.8014, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4294, root_relative_squared_error: 0.8588, scimark_benchmark: 1793.5684, usercpu_time_millis: 127.721, usercpu_time_millis_testing: 0.488, usercpu_time_millis_training: 127.233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7867, f_measure: 0.7204, kappa: 0.4446, kb_relative_information_score: 472.2624, mean_absolute_error: 0.4245, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7285, predictive_accuracy: 0.7223, prior_entropy: 1, recall: 0.7223, relative_absolute_error: 0.8491, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4442, root_relative_squared_error: 0.8884, scimark_benchmark: 1847.289, usercpu_time_millis: 117.341, usercpu_time_millis_testing: 1.271, usercpu_time_millis_training: 116.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7347, f_measure: 0.6835, kappa: 0.37, kb_relative_information_score: 364.0909, mean_absolute_error: 0.4428, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6886, predictive_accuracy: 0.685, prior_entropy: 1, recall: 0.685, relative_absolute_error: 0.8856, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4603, root_relative_squared_error: 0.9207, scimark_benchmark: 1836.1651, usercpu_time_millis: 115.097, usercpu_time_millis_testing: 1.154, usercpu_time_millis_training: 113.943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.796, f_measure: 0.7244, kappa: 0.4523, kb_relative_information_score: 396.8964, mean_absolute_error: 0.4388, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7321, predictive_accuracy: 0.7262, prior_entropy: 1, recall: 0.7262, relative_absolute_error: 0.8776, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4504, root_relative_squared_error: 0.9009, scimark_benchmark: 1839.2061, usercpu_time_millis: 112.484, usercpu_time_millis_testing: 2.154, usercpu_time_millis_training: 110.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.7987, kappa: 0.5977, kb_relative_information_score: 1136.8084, mean_absolute_error: 0.298, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7997, predictive_accuracy: 0.7988, prior_entropy: 1, recall: 0.7988, relative_absolute_error: 0.5959, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3773, root_relative_squared_error: 0.7546, scimark_benchmark: 1853.0566, usercpu_time_millis: 148.748, usercpu_time_millis_testing: 0.363, usercpu_time_millis_training: 148.385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.766, f_measure: 0.6964, kappa: 0.3962, kb_relative_information_score: 473.0183, mean_absolute_error: 0.423, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7024, predictive_accuracy: 0.6981, prior_entropy: 1, recall: 0.6981, relative_absolute_error: 0.846, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4479, root_relative_squared_error: 0.8957, scimark_benchmark: 1849.9303, usercpu_time_millis: 175.089, usercpu_time_millis_testing: 0.956, usercpu_time_millis_training: 174.133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8417, f_measure: 0.7524, kappa: 0.5062, kb_relative_information_score: 680.8163, mean_absolute_error: 0.3876, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.756, predictive_accuracy: 0.7531, prior_entropy: 1, recall: 0.7531, relative_absolute_error: 0.7753, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4183, root_relative_squared_error: 0.8367, scimark_benchmark: 1818.4874, usercpu_time_millis: 147.681, usercpu_time_millis_testing: 0.908, usercpu_time_millis_training: 146.773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6713, f_measure: 0.6219, kappa: 0.2438, kb_relative_information_score: 115.8943, mean_absolute_error: 0.4833, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.622, predictive_accuracy: 0.6219, prior_entropy: 1, recall: 0.6219, relative_absolute_error: 0.9666, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4862, root_relative_squared_error: 0.9724, scimark_benchmark: 1854.0427, usercpu_time_millis: 12.093, usercpu_time_millis_testing: 1.012, usercpu_time_millis_training: 11.081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4505, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1849.3742, usercpu_time_millis: 5.906, usercpu_time_millis_testing: 0.927, usercpu_time_millis_training: 4.979,

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