OpenML
Supervised Classification on abalone

Supervised Classification on abalone

Task 3586 Supervised Classification abalone 541 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.722, f_measure: 0.722, kappa: 0.4441, kb_relative_information_score: 1854.9568, mean_absolute_error: 0.278, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7221, predictive_accuracy: 0.722, prior_entropy: 1, recall: 0.722, relative_absolute_error: 0.5559, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5272, root_relative_squared_error: 1.0544, scimark_benchmark: 1316.8289, usercpu_time_millis: 2630, usercpu_time_millis_testing: 2630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7942, f_measure: 0.794, kappa: 0.5883, kb_relative_information_score: 2456.968, mean_absolute_error: 0.2059, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7951, predictive_accuracy: 0.7941, prior_entropy: 1, recall: 0.7941, relative_absolute_error: 0.4118, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4538, root_relative_squared_error: 0.9075, scimark_benchmark: 1313.6093, usercpu_time_millis: 3810, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 3700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8143, f_measure: 0.7829, kappa: 0.5657, kb_relative_information_score: 1688.4105, mean_absolute_error: 0.3176, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7829, predictive_accuracy: 0.7829, prior_entropy: 1, recall: 0.7829, relative_absolute_error: 0.6352, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4074, root_relative_squared_error: 0.8147, scimark_benchmark: 1328.941, usercpu_time_millis: 470, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8531, f_measure: 0.7768, kappa: 0.5538, kb_relative_information_score: 1280.9483, mean_absolute_error: 0.3642, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7772, predictive_accuracy: 0.7769, prior_entropy: 1, recall: 0.7769, relative_absolute_error: 0.7284, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4056, root_relative_squared_error: 0.8112, scimark_benchmark: 1340.4336, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.7928, kappa: 0.5859, kb_relative_information_score: 1711.5987, mean_absolute_error: 0.313, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7938, predictive_accuracy: 0.7929, prior_entropy: 1, recall: 0.7929, relative_absolute_error: 0.626, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3826, root_relative_squared_error: 0.7652, scimark_benchmark: 1360.2771, usercpu_time_millis: 1450, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 1250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8654, f_measure: 0.7917, kappa: 0.584, kb_relative_information_score: 1685.9286, mean_absolute_error: 0.3156, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7934, predictive_accuracy: 0.792, prior_entropy: 1, recall: 0.792, relative_absolute_error: 0.6312, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3862, root_relative_squared_error: 0.7724, scimark_benchmark: 1338.9438, usercpu_time_millis: 290, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8624, f_measure: 0.7841, kappa: 0.5687, kb_relative_information_score: 1674.3691, mean_absolute_error: 0.3165, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7858, predictive_accuracy: 0.7843, prior_entropy: 1, recall: 0.7843, relative_absolute_error: 0.6331, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3883, root_relative_squared_error: 0.7766, scimark_benchmark: 1358.4523, usercpu_time_millis: 150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8739, f_measure: 0.7859, kappa: 0.572, kb_relative_information_score: 1922.4141, mean_absolute_error: 0.2823, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7862, predictive_accuracy: 0.786, prior_entropy: 1, recall: 0.786, relative_absolute_error: 0.5647, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3803, root_relative_squared_error: 0.7606, scimark_benchmark: 1358.4523, usercpu_time_millis: 1070, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8718, f_measure: 0.7826, kappa: 0.5653, kb_relative_information_score: 1887.243, mean_absolute_error: 0.2872, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7829, predictive_accuracy: 0.7826, prior_entropy: 1, recall: 0.7826, relative_absolute_error: 0.5744, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3816, root_relative_squared_error: 0.7633, scimark_benchmark: 1321.5205, usercpu_time_millis: 440, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8774, f_measure: 0.7894, kappa: 0.5792, kb_relative_information_score: 1948.4744, mean_absolute_error: 0.2796, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7905, predictive_accuracy: 0.7896, prior_entropy: 1, recall: 0.7896, relative_absolute_error: 0.5593, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3772, root_relative_squared_error: 0.7543, scimark_benchmark: 1270.2428, usercpu_time_millis: 3790, usercpu_time_millis_testing: 400, usercpu_time_millis_training: 3390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8762, f_measure: 0.7896, kappa: 0.5797, kb_relative_information_score: 1947.1201, mean_absolute_error: 0.2797, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7908, predictive_accuracy: 0.7898, prior_entropy: 1, recall: 0.7898, relative_absolute_error: 0.5594, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3781, root_relative_squared_error: 0.7562, scimark_benchmark: 996.6105, usercpu_time_millis: 2020, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 1840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8064, f_measure: 0.7531, kappa: 0.512, kb_relative_information_score: 1492.2784, mean_absolute_error: 0.3379, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7681, predictive_accuracy: 0.7558, prior_entropy: 1, recall: 0.7558, relative_absolute_error: 0.6757, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4178, root_relative_squared_error: 0.8357, scimark_benchmark: 1340.9946, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8064, f_measure: 0.7531, kappa: 0.512, kb_relative_information_score: 1492.2784, mean_absolute_error: 0.3379, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7681, predictive_accuracy: 0.7558, prior_entropy: 1, recall: 0.7558, relative_absolute_error: 0.6757, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4178, root_relative_squared_error: 0.8357, scimark_benchmark: 934.4732, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8385, f_measure: 0.7739, kappa: 0.5481, kb_relative_information_score: 1692.9657, mean_absolute_error: 0.3125, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7747, predictive_accuracy: 0.774, prior_entropy: 1, recall: 0.774, relative_absolute_error: 0.6251, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4022, root_relative_squared_error: 0.8044, scimark_benchmark: 1340.1351, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8207, f_measure: 0.7339, kappa: 0.4681, kb_relative_information_score: 1942.4224, mean_absolute_error: 0.2678, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7344, predictive_accuracy: 0.734, prior_entropy: 1, recall: 0.734, relative_absolute_error: 0.5357, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4837, root_relative_squared_error: 0.9674, scimark_benchmark: 1326.014, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8203, f_measure: 0.7342, kappa: 0.4686, kb_relative_information_score: 1943.0899, mean_absolute_error: 0.2677, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7347, predictive_accuracy: 0.7343, prior_entropy: 1, recall: 0.7343, relative_absolute_error: 0.5355, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4839, root_relative_squared_error: 0.9678, scimark_benchmark: 1301.9176, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8726, f_measure: 0.7823, kappa: 0.5648, kb_relative_information_score: 1693.1997, mean_absolute_error: 0.3143, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7828, predictive_accuracy: 0.7824, prior_entropy: 1, recall: 0.7824, relative_absolute_error: 0.6286, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3829, root_relative_squared_error: 0.7658, scimark_benchmark: 1315.4655, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8741, f_measure: 0.7869, kappa: 0.5738, kb_relative_information_score: 1881.169, mean_absolute_error: 0.2884, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.787, predictive_accuracy: 0.7869, prior_entropy: 1, recall: 0.7869, relative_absolute_error: 0.5768, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3811, root_relative_squared_error: 0.7621, scimark_benchmark: 923.6051, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5815, f_measure: 0.3924, kappa: 0.053, kb_relative_information_score: 158.4768, mean_absolute_error: 0.4834, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7439, predictive_accuracy: 0.5281, prior_entropy: 1, recall: 0.5281, relative_absolute_error: 0.9668, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4882, root_relative_squared_error: 0.9764, scimark_benchmark: 1329.0992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7624, f_measure: 0.7503, kappa: 0.5005, kb_relative_information_score: 1282.912, mean_absolute_error: 0.3671, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7504, predictive_accuracy: 0.7503, prior_entropy: 1, recall: 0.7503, relative_absolute_error: 0.7342, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4328, root_relative_squared_error: 0.8657, scimark_benchmark: 1329.0992, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8486, f_measure: 0.7661, kappa: 0.5322, kb_relative_information_score: 1672.9125, mean_absolute_error: 0.3134, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7664, predictive_accuracy: 0.7661, prior_entropy: 1, recall: 0.7661, relative_absolute_error: 0.6269, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.7951, scimark_benchmark: 1370.6464, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8531, f_measure: 0.7768, kappa: 0.5538, kb_relative_information_score: 1280.9483, mean_absolute_error: 0.3642, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7772, predictive_accuracy: 0.7769, prior_entropy: 1, recall: 0.7769, relative_absolute_error: 0.7284, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4056, root_relative_squared_error: 0.8112, scimark_benchmark: 1326.6647, usercpu_time_millis: 180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8173, f_measure: 0.7794, kappa: 0.5596, kb_relative_information_score: 1817.8938, mean_absolute_error: 0.2969, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7817, predictive_accuracy: 0.7797, prior_entropy: 1, recall: 0.7797, relative_absolute_error: 0.5939, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4118, root_relative_squared_error: 0.8236, scimark_benchmark: 1344.3348, usercpu_time_millis: 740, usercpu_time_millis_training: 740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7564, f_measure: 0.7491, kappa: 0.4982, kb_relative_information_score: 1260.1984, mean_absolute_error: 0.3698, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7492, predictive_accuracy: 0.7491, prior_entropy: 1, recall: 0.7491, relative_absolute_error: 0.7396, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4332, root_relative_squared_error: 0.8664, scimark_benchmark: 1332.6319, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8146, f_measure: 0.7766, kappa: 0.5533, kb_relative_information_score: 1820.0224, mean_absolute_error: 0.2977, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7768, predictive_accuracy: 0.7766, prior_entropy: 1, recall: 0.7766, relative_absolute_error: 0.5955, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4135, root_relative_squared_error: 0.8269, scimark_benchmark: 932.0242, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8583, f_measure: 0.7792, kappa: 0.5586, kb_relative_information_score: 1772.7351, mean_absolute_error: 0.3026, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.78, predictive_accuracy: 0.7793, prior_entropy: 1, recall: 0.7793, relative_absolute_error: 0.6053, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3901, root_relative_squared_error: 0.7801, scimark_benchmark: 1373.2982, usercpu_time_millis: 370, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8688, f_measure: 0.7826, kappa: 0.5653, kb_relative_information_score: 1842.7341, mean_absolute_error: 0.2934, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.783, predictive_accuracy: 0.7826, prior_entropy: 1, recall: 0.7826, relative_absolute_error: 0.5868, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3837, root_relative_squared_error: 0.7674, scimark_benchmark: 1366.5423, usercpu_time_millis: 240, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8504, f_measure: 0.7637, kappa: 0.5274, kb_relative_information_score: 1695.0307, mean_absolute_error: 0.3114, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7638, predictive_accuracy: 0.7637, prior_entropy: 1, recall: 0.7637, relative_absolute_error: 0.6229, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.7952, scimark_benchmark: 1339.4189, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8753, f_measure: 0.7873, kappa: 0.5749, kb_relative_information_score: 1947.28, mean_absolute_error: 0.2794, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7882, predictive_accuracy: 0.7874, prior_entropy: 1, recall: 0.7874, relative_absolute_error: 0.5587, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3788, root_relative_squared_error: 0.7576, scimark_benchmark: 1312.5307, usercpu_time_millis: 840, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7533, f_measure: 0.7508, kappa: 0.5062, kb_relative_information_score: 2112.9616, mean_absolute_error: 0.2471, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7623, predictive_accuracy: 0.7529, prior_entropy: 1, recall: 0.7529, relative_absolute_error: 0.4941, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4971, root_relative_squared_error: 0.9941, scimark_benchmark: 935.5075, usercpu_time_millis: 3430, usercpu_time_millis_testing: 1180, usercpu_time_millis_training: 2250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7352, f_measure: 0.7026, kappa: 0.4228, kb_relative_information_score: 427.9937, mean_absolute_error: 0.455, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.739, predictive_accuracy: 0.711, prior_entropy: 1, recall: 0.711, relative_absolute_error: 0.9099, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4698, root_relative_squared_error: 0.9396, scimark_benchmark: 929.0363, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3353, kb_relative_information_score: -0.0017, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.2518, predictive_accuracy: 0.5018, prior_entropy: 1, recall: 0.5018, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1321.6263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7365, f_measure: 0.7198, kappa: 0.4507, kb_relative_information_score: 1145.6121, mean_absolute_error: 0.3789, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7454, predictive_accuracy: 0.7256, prior_entropy: 1, recall: 0.7256, relative_absolute_error: 0.7578, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4407, root_relative_squared_error: 0.8815, scimark_benchmark: 1386.5717, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8531, f_measure: 0.7768, kappa: 0.5538, kb_relative_information_score: 1280.9483, mean_absolute_error: 0.3642, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7772, predictive_accuracy: 0.7769, prior_entropy: 1, recall: 0.7769, relative_absolute_error: 0.7284, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4056, root_relative_squared_error: 0.8112, scimark_benchmark: 938.343, usercpu_time_millis: 210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8693, f_measure: 0.7944, kappa: 0.5893, kb_relative_information_score: 1707.1881, mean_absolute_error: 0.3134, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7957, predictive_accuracy: 0.7946, prior_entropy: 1, recall: 0.7946, relative_absolute_error: 0.6267, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3835, root_relative_squared_error: 0.7671, scimark_benchmark: 1028.5889, usercpu_time_millis: 730, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8612, f_measure: 0.7804, kappa: 0.561, kb_relative_information_score: 1772.1403, mean_absolute_error: 0.3026, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7812, predictive_accuracy: 0.7805, prior_entropy: 1, recall: 0.7805, relative_absolute_error: 0.6053, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3888, root_relative_squared_error: 0.7777, scimark_benchmark: 925.4974, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8726, f_measure: 0.7873, kappa: 0.5749, kb_relative_information_score: 1946.7166, mean_absolute_error: 0.2793, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7881, predictive_accuracy: 0.7874, prior_entropy: 1, recall: 0.7874, relative_absolute_error: 0.5586, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3809, root_relative_squared_error: 0.7618, scimark_benchmark: 933.3136, usercpu_time_millis: 520, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 490,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8565, f_measure: 0.7689, kappa: 0.5391, kb_relative_information_score: 2199.4531, mean_absolute_error: 0.2381, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7721, predictive_accuracy: 0.7695, prior_entropy: 1, recall: 0.7695, relative_absolute_error: 0.4762, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4482, root_relative_squared_error: 0.8964, scimark_benchmark: 936.6206, usercpu_time_millis: 1550, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8512, f_measure: 0.764, kappa: 0.5285, kb_relative_information_score: 2171.0077, mean_absolute_error: 0.2413, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7652, predictive_accuracy: 0.7642, prior_entropy: 1, recall: 0.7642, relative_absolute_error: 0.4826, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4502, root_relative_squared_error: 0.9004, scimark_benchmark: 936.6206, usercpu_time_millis: 780, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8458, f_measure: 0.7577, kappa: 0.5171, kb_relative_information_score: 2134.3601, mean_absolute_error: 0.2455, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7618, predictive_accuracy: 0.7584, prior_entropy: 1, recall: 0.7584, relative_absolute_error: 0.491, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4627, root_relative_squared_error: 0.9253, scimark_benchmark: 942.1229, usercpu_time_millis: 370, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.84, f_measure: 0.757, kappa: 0.5151, kb_relative_information_score: 2114.1516, mean_absolute_error: 0.248, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7598, predictive_accuracy: 0.7575, prior_entropy: 1, recall: 0.7575, relative_absolute_error: 0.496, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4647, root_relative_squared_error: 0.9294, scimark_benchmark: 922.9039, usercpu_time_millis: 210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, f_measure: 0.752, kappa: 0.5056, kb_relative_information_score: 2094.2864, mean_absolute_error: 0.2502, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.756, predictive_accuracy: 0.7527, prior_entropy: 1, recall: 0.7527, relative_absolute_error: 0.5003, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4741, root_relative_squared_error: 0.9482, scimark_benchmark: 938.9865, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8739, f_measure: 0.7859, kappa: 0.572, kb_relative_information_score: 1922.4141, mean_absolute_error: 0.2823, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7862, predictive_accuracy: 0.786, prior_entropy: 1, recall: 0.786, relative_absolute_error: 0.5647, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3803, root_relative_squared_error: 0.7606, scimark_benchmark: 936.6206, usercpu_time_millis: 1050, usercpu_time_millis_training: 1050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8718, f_measure: 0.7826, kappa: 0.5653, kb_relative_information_score: 1887.243, mean_absolute_error: 0.2872, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7829, predictive_accuracy: 0.7826, prior_entropy: 1, recall: 0.7826, relative_absolute_error: 0.5744, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3816, root_relative_squared_error: 0.7633, scimark_benchmark: 924.6116, usercpu_time_millis: 590, usercpu_time_millis_training: 590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8688, f_measure: 0.7826, kappa: 0.5653, kb_relative_information_score: 1842.7341, mean_absolute_error: 0.2934, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.783, predictive_accuracy: 0.7826, prior_entropy: 1, recall: 0.7826, relative_absolute_error: 0.5868, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3837, root_relative_squared_error: 0.7674, scimark_benchmark: 924.6116, usercpu_time_millis: 310, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8612, f_measure: 0.7804, kappa: 0.561, kb_relative_information_score: 1772.1403, mean_absolute_error: 0.3026, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7812, predictive_accuracy: 0.7805, prior_entropy: 1, recall: 0.7805, relative_absolute_error: 0.6053, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3888, root_relative_squared_error: 0.7777, scimark_benchmark: 947.9494, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8504, f_measure: 0.7637, kappa: 0.5274, kb_relative_information_score: 1695.0307, mean_absolute_error: 0.3114, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7638, predictive_accuracy: 0.7637, prior_entropy: 1, recall: 0.7637, relative_absolute_error: 0.6229, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.7952, scimark_benchmark: 929.566, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3353, kb_relative_information_score: -0.0017, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.2518, predictive_accuracy: 0.5018, prior_entropy: 1, recall: 0.5018, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 932.3943, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8738, f_measure: 0.7737, kappa: 0.5541, kb_relative_information_score: 1797.9542, mean_absolute_error: 0.2984, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.794, predictive_accuracy: 0.7769, prior_entropy: 1, recall: 0.7769, relative_absolute_error: 0.5968, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3884, root_relative_squared_error: 0.7768, scimark_benchmark: 929.566, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8102, f_measure: 0.7493, kappa: 0.4986, kb_relative_information_score: 1588.8711, mean_absolute_error: 0.3237, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7494, predictive_accuracy: 0.7493, prior_entropy: 1, recall: 0.7493, relative_absolute_error: 0.6474, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4228, root_relative_squared_error: 0.8456, scimark_benchmark: 933.8635, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8382, f_measure: 0.7593, kappa: 0.5187, kb_relative_information_score: 1922.186, mean_absolute_error: 0.2764, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7595, predictive_accuracy: 0.7594, prior_entropy: 1, recall: 0.7594, relative_absolute_error: 0.5528, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4105, root_relative_squared_error: 0.8209, scimark_benchmark: 902.4773, usercpu_time_millis: 310, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8172, f_measure: 0.7519, kappa: 0.504, kb_relative_information_score: 1494.5435, mean_absolute_error: 0.3382, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7524, predictive_accuracy: 0.752, prior_entropy: 1, recall: 0.752, relative_absolute_error: 0.6763, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4173, root_relative_squared_error: 0.8346, scimark_benchmark: 932.3943, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8497, f_measure: 0.7646, kappa: 0.5294, kb_relative_information_score: 1684.1335, mean_absolute_error: 0.3129, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7648, predictive_accuracy: 0.7647, prior_entropy: 1, recall: 0.7647, relative_absolute_error: 0.6257, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.398, root_relative_squared_error: 0.7959, scimark_benchmark: 911.0478, usercpu_time_millis: 220, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3353, kb_relative_information_score: 14.9226, mean_absolute_error: 0.4982, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.2518, predictive_accuracy: 0.5018, prior_entropy: 1, recall: 0.5018, relative_absolute_error: 0.9964, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7058, root_relative_squared_error: 1.4117, scimark_benchmark: 901.0726, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8139, f_measure: 0.7752, kappa: 0.5504, kb_relative_information_score: 1810.76, mean_absolute_error: 0.2988, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7754, predictive_accuracy: 0.7752, prior_entropy: 1, recall: 0.7752, relative_absolute_error: 0.5976, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4143, root_relative_squared_error: 0.8285, scimark_benchmark: 904.3001, usercpu_time_millis: 130, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8608, f_measure: 0.7859, kappa: 0.572, kb_relative_information_score: 1644.1995, mean_absolute_error: 0.3196, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7867, predictive_accuracy: 0.786, prior_entropy: 1, recall: 0.786, relative_absolute_error: 0.6391, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3901, root_relative_squared_error: 0.7801, scimark_benchmark: 943.2817, usercpu_time_millis: 9200, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 9180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8121, f_measure: 0.7576, kappa: 0.5155, kb_relative_information_score: 1333.8263, mean_absolute_error: 0.361, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7585, predictive_accuracy: 0.7577, prior_entropy: 1, recall: 0.7577, relative_absolute_error: 0.722, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4152, root_relative_squared_error: 0.8304, scimark_benchmark: 901.0726, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8134, f_measure: 0.7612, kappa: 0.5227, kb_relative_information_score: 1598.0258, mean_absolute_error: 0.326, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7619, predictive_accuracy: 0.7613, prior_entropy: 1, recall: 0.7613, relative_absolute_error: 0.652, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.411, root_relative_squared_error: 0.822, scimark_benchmark: 941.7954, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8422, f_measure: 0.7637, kappa: 0.5274, kb_relative_information_score: 2162.5613, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7638, predictive_accuracy: 0.7637, prior_entropy: 1, recall: 0.7637, relative_absolute_error: 0.4841, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4524, root_relative_squared_error: 0.9048, scimark_benchmark: 941.7954, usercpu_time_millis: 1680, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 1630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8423, f_measure: 0.7651, kappa: 0.5303, kb_relative_information_score: 2170.7637, mean_absolute_error: 0.241, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7652, predictive_accuracy: 0.7651, prior_entropy: 1, recall: 0.7651, relative_absolute_error: 0.4819, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4523, root_relative_squared_error: 0.9047, scimark_benchmark: 945.3151, usercpu_time_millis: 2170, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 2120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8423, f_measure: 0.7651, kappa: 0.5303, kb_relative_information_score: 2170.7637, mean_absolute_error: 0.241, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7652, predictive_accuracy: 0.7651, prior_entropy: 1, recall: 0.7651, relative_absolute_error: 0.4819, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4523, root_relative_squared_error: 0.9047, scimark_benchmark: 929.566, usercpu_time_millis: 2300, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 2240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8379, f_measure: 0.7596, kappa: 0.5193, kb_relative_information_score: 2155.239, mean_absolute_error: 0.2424, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7597, predictive_accuracy: 0.7596, prior_entropy: 1, recall: 0.7596, relative_absolute_error: 0.4849, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.459, root_relative_squared_error: 0.918, scimark_benchmark: 868.2731, usercpu_time_millis: 11640, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 11620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, f_measure: 0.7855, kappa: 0.5709, kb_relative_information_score: 1949.7766, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7856, predictive_accuracy: 0.7855, prior_entropy: 1, recall: 0.7855, relative_absolute_error: 0.5567, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.387, root_relative_squared_error: 0.7739, scimark_benchmark: 935.8986, usercpu_time_millis: 1850, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8633, f_measure: 0.7781, kappa: 0.5562, kb_relative_information_score: 1862.407, mean_absolute_error: 0.2883, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7781, predictive_accuracy: 0.7781, prior_entropy: 1, recall: 0.7781, relative_absolute_error: 0.5766, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3873, root_relative_squared_error: 0.7747, scimark_benchmark: 935.8986, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7097, f_measure: 0.7008, kappa: 0.4189, kb_relative_information_score: 1746.9548, mean_absolute_error: 0.2909, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7362, predictive_accuracy: 0.7091, prior_entropy: 1, recall: 0.7091, relative_absolute_error: 0.5818, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5393, root_relative_squared_error: 1.0787, scimark_benchmark: 943.2817, usercpu_time_millis: 26380, usercpu_time_millis_testing: 1910, usercpu_time_millis_training: 24470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7873, f_measure: 0.7872, kappa: 0.5747, kb_relative_information_score: 2400.967, mean_absolute_error: 0.2126, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7884, predictive_accuracy: 0.7874, prior_entropy: 1, recall: 0.7874, relative_absolute_error: 0.4252, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4611, root_relative_squared_error: 0.9222, scimark_benchmark: 947.4269, usercpu_time_millis: 300, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 270,

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