Task
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: 0.8509, f_measure: 0.7822, kappa: 0.5606, kb_relative_information_score: 1183.7528, mean_absolute_error: 0.359, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7825, predictive_accuracy: 0.7827, prior_entropy: 0.9948, recall: 0.7827, relative_absolute_error: 0.7232, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4033, root_relative_squared_error: 0.8096, scimark_benchmark: 1730.1287, usercpu_time_millis: 364.219, usercpu_time_millis_testing: 3.971, usercpu_time_millis_training: 360.248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8322, f_measure: 0.7635, kappa: 0.5228, kb_relative_information_score: 1207.3771, mean_absolute_error: 0.3548, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7641, predictive_accuracy: 0.7643, prior_entropy: 0.9948, recall: 0.7643, relative_absolute_error: 0.7147, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4088, root_relative_squared_error: 0.8205, scimark_benchmark: 1708.2099, usercpu_time_millis: 320.555, usercpu_time_millis_testing: 1.605, usercpu_time_millis_training: 318.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.856, f_measure: 0.7833, kappa: 0.5629, kb_relative_information_score: 1272.9682, mean_absolute_error: 0.3471, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7835, predictive_accuracy: 0.7838, prior_entropy: 0.9948, recall: 0.7838, relative_absolute_error: 0.6993, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.7979, scimark_benchmark: 1719.9617, usercpu_time_millis: 294.791, usercpu_time_millis_testing: 2.877, usercpu_time_millis_training: 291.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8566, f_measure: 0.7905, kappa: 0.5774, kb_relative_information_score: 1365.6591, mean_absolute_error: 0.3339, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7912, predictive_accuracy: 0.7913, prior_entropy: 0.9948, recall: 0.7913, relative_absolute_error: 0.6727, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3938, root_relative_squared_error: 0.7904, scimark_benchmark: 1715.5128, usercpu_time_millis: 261.694, usercpu_time_millis_testing: 1.467, usercpu_time_millis_training: 260.227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8654, f_measure: 0.7914, kappa: 0.5794, kb_relative_information_score: 1229.4471, mean_absolute_error: 0.3536, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7915, predictive_accuracy: 0.7918, prior_entropy: 0.9948, recall: 0.7918, relative_absolute_error: 0.7122, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3969, root_relative_squared_error: 0.7967, scimark_benchmark: 1720.8934, usercpu_time_millis: 242.802, usercpu_time_millis_testing: 4.254, usercpu_time_millis_training: 238.548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8021, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 964.6606, mean_absolute_error: 0.3881, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7817, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4334, root_relative_squared_error: 0.8699, scimark_benchmark: 1730.591, usercpu_time_millis: 238.852, usercpu_time_millis_testing: 1.322, usercpu_time_millis_training: 237.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8121, f_measure: 0.747, kappa: 0.4894, kb_relative_information_score: 818.7422, mean_absolute_error: 0.4065, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7489, predictive_accuracy: 0.7486, prior_entropy: 0.9948, recall: 0.7486, relative_absolute_error: 0.8188, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4313, root_relative_squared_error: 0.8658, scimark_benchmark: 1727.2167, usercpu_time_millis: 146.221, usercpu_time_millis_testing: 1.73, usercpu_time_millis_training: 144.491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8099, f_measure: 0.751, kappa: 0.4976, kb_relative_information_score: 839.8604, mean_absolute_error: 0.4042, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7535, predictive_accuracy: 0.7529, prior_entropy: 0.9948, recall: 0.7529, relative_absolute_error: 0.8143, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4305, root_relative_squared_error: 0.864, scimark_benchmark: 1724.3378, usercpu_time_millis: 81.711, usercpu_time_millis_testing: 1.07, usercpu_time_millis_training: 80.641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8017, f_measure: 0.7395, kappa: 0.4746, kb_relative_information_score: 643.0504, mean_absolute_error: 0.4278, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7396, predictive_accuracy: 0.7401, prior_entropy: 0.9948, recall: 0.7401, relative_absolute_error: 0.8617, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4444, root_relative_squared_error: 0.892, scimark_benchmark: 1736.4936, usercpu_time_millis: 31.578, usercpu_time_millis_testing: 0.897, usercpu_time_millis_training: 30.681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3813, kb_relative_information_score: -0.1526, 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: 1727.044, usercpu_time_millis: 6.123, usercpu_time_millis_testing: 0.836, usercpu_time_millis_training: 5.287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8734, f_measure: 0.8015, kappa: 0.5996, kb_relative_information_score: 1622.9712, mean_absolute_error: 0.2984, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8017, predictive_accuracy: 0.8019, prior_entropy: 0.9948, recall: 0.8019, relative_absolute_error: 0.6011, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3782, root_relative_squared_error: 0.7591, scimark_benchmark: 1715.5658, usercpu_time_millis: 2475.955, usercpu_time_millis_testing: 2.182, usercpu_time_millis_training: 2473.773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.7579, kappa: 0.5116, kb_relative_information_score: 1314.6623, mean_absolute_error: 0.3393, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7608, predictive_accuracy: 0.7598, prior_entropy: 0.9948, recall: 0.7598, relative_absolute_error: 0.6834, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4058, root_relative_squared_error: 0.8146, scimark_benchmark: 1719.9253, usercpu_time_millis: 2462.129, usercpu_time_millis_testing: 1.977, usercpu_time_millis_training: 2460.152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8424, f_measure: 0.7753, kappa: 0.5466, kb_relative_information_score: 1372.0361, mean_absolute_error: 0.3315, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7764, predictive_accuracy: 0.7763, prior_entropy: 0.9948, recall: 0.7763, relative_absolute_error: 0.6679, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4006, root_relative_squared_error: 0.804, scimark_benchmark: 1849.8294, usercpu_time_millis: 2275.168, usercpu_time_millis_testing: 2.238, usercpu_time_millis_training: 2272.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8723, f_measure: 0.803, kappa: 0.6026, kb_relative_information_score: 1533.6184, mean_absolute_error: 0.3117, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8034, predictive_accuracy: 0.8035, prior_entropy: 0.9948, recall: 0.8035, relative_absolute_error: 0.6278, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3809, root_relative_squared_error: 0.7645, scimark_benchmark: 1853.9121, usercpu_time_millis: 1896.125, usercpu_time_millis_testing: 4.669, usercpu_time_millis_training: 1891.456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8685, f_measure: 0.7988, kappa: 0.5942, kb_relative_information_score: 1572.2875, mean_absolute_error: 0.3054, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7991, predictive_accuracy: 0.7993, prior_entropy: 0.9948, recall: 0.7993, relative_absolute_error: 0.6152, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.382, root_relative_squared_error: 0.7668, scimark_benchmark: 1739.3856, usercpu_time_millis: 1379.242, usercpu_time_millis_testing: 1.533, usercpu_time_millis_training: 1377.709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8673, f_measure: 0.7992, kappa: 0.595, kb_relative_information_score: 1466.4182, mean_absolute_error: 0.3205, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7993, predictive_accuracy: 0.7995, prior_entropy: 0.9948, recall: 0.7995, relative_absolute_error: 0.6456, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3858, root_relative_squared_error: 0.7743, scimark_benchmark: 1855.4813, usercpu_time_millis: 1343.912, usercpu_time_millis_testing: 3.428, usercpu_time_millis_training: 1340.484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8134, f_measure: 0.747, kappa: 0.4903, kb_relative_information_score: 1199.8374, mean_absolute_error: 0.3559, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7539, predictive_accuracy: 0.7505, prior_entropy: 0.9948, recall: 0.7505, relative_absolute_error: 0.7169, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4166, root_relative_squared_error: 0.8361, scimark_benchmark: 1734.3922, usercpu_time_millis: 1278.135, usercpu_time_millis_testing: 1.751, usercpu_time_millis_training: 1276.384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.7979, kappa: 0.5923, kb_relative_information_score: 1532.429, mean_absolute_error: 0.311, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7979, predictive_accuracy: 0.7982, prior_entropy: 0.9948, recall: 0.7982, relative_absolute_error: 0.6264, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3839, root_relative_squared_error: 0.7705, scimark_benchmark: 1740.4066, usercpu_time_millis: 1106.668, usercpu_time_millis_testing: 2.165, usercpu_time_millis_training: 1104.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8287, f_measure: 0.7604, kappa: 0.5166, kb_relative_information_score: 1213.244, mean_absolute_error: 0.3543, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7623, predictive_accuracy: 0.7619, prior_entropy: 0.9948, recall: 0.7619, relative_absolute_error: 0.7138, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4107, root_relative_squared_error: 0.8243, scimark_benchmark: 1853.454, usercpu_time_millis: 1063.28, usercpu_time_millis_testing: 2.38, usercpu_time_millis_training: 1060.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8527, f_measure: 0.7835, kappa: 0.5631, kb_relative_information_score: 1310.5916, mean_absolute_error: 0.3416, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7844, predictive_accuracy: 0.7843, prior_entropy: 0.9948, recall: 0.7843, relative_absolute_error: 0.688, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.7974, scimark_benchmark: 1742.2041, usercpu_time_millis: 963.655, usercpu_time_millis_testing: 2.614, usercpu_time_millis_training: 961.041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8419, f_measure: 0.7776, kappa: 0.5512, kb_relative_information_score: 1347.1849, mean_absolute_error: 0.3353, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7784, predictive_accuracy: 0.7785, prior_entropy: 0.9948, recall: 0.7785, relative_absolute_error: 0.6753, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4011, root_relative_squared_error: 0.8051, scimark_benchmark: 1853.9121, usercpu_time_millis: 773.623, usercpu_time_millis_testing: 1.525, usercpu_time_millis_training: 772.098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8431, f_measure: 0.7757, kappa: 0.5476, kb_relative_information_score: 1378.8559, mean_absolute_error: 0.3309, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7761, predictive_accuracy: 0.7763, prior_entropy: 0.9948, recall: 0.7763, relative_absolute_error: 0.6665, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3998, root_relative_squared_error: 0.8025, scimark_benchmark: 1858.0974, usercpu_time_millis: 668.497, usercpu_time_millis_testing: 1.47, usercpu_time_millis_training: 667.027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8499, f_measure: 0.7769, kappa: 0.5504, kb_relative_information_score: 1623.3102, mean_absolute_error: 0.2931, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7769, predictive_accuracy: 0.7771, prior_entropy: 0.9948, recall: 0.7771, relative_absolute_error: 0.5903, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3961, root_relative_squared_error: 0.795, scimark_benchmark: 1850.2875, usercpu_time_millis: 93.33, usercpu_time_millis_testing: 0.697, usercpu_time_millis_training: 92.633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8004, f_measure: 0.7268, kappa: 0.4489, kb_relative_information_score: 646.9931, mean_absolute_error: 0.4269, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7269, predictive_accuracy: 0.7275, prior_entropy: 0.9948, recall: 0.7275, relative_absolute_error: 0.86, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4437, root_relative_squared_error: 0.8905, scimark_benchmark: 1757.4543, usercpu_time_millis: 58.1, usercpu_time_millis_testing: 1.861, usercpu_time_millis_training: 56.239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7959, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 807.5968, mean_absolute_error: 0.4085, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.823, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4381, root_relative_squared_error: 0.8794, scimark_benchmark: 1746.6883, usercpu_time_millis: 33.177, usercpu_time_millis_testing: 0.856, usercpu_time_millis_training: 32.321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: -0.0292, 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: 1721.4054, usercpu_time_millis: 9.588, usercpu_time_millis_testing: 1.529, usercpu_time_millis_training: 8.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8258, f_measure: 0.7507, kappa: 0.497, kb_relative_information_score: 1288.614, mean_absolute_error: 0.3429, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7533, predictive_accuracy: 0.7526, prior_entropy: 0.9948, recall: 0.7526, relative_absolute_error: 0.6907, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4109, root_relative_squared_error: 0.8248, scimark_benchmark: 1723.0593, usercpu_time_millis: 3021.957, usercpu_time_millis_testing: 2.078, usercpu_time_millis_training: 3019.879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8629, f_measure: 0.7948, kappa: 0.5861, kb_relative_information_score: 1491.6368, mean_absolute_error: 0.3164, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.795, predictive_accuracy: 0.7953, prior_entropy: 0.9948, recall: 0.7953, relative_absolute_error: 0.6374, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3872, root_relative_squared_error: 0.7772, scimark_benchmark: 1685.238, usercpu_time_millis: 2097.363, usercpu_time_millis_testing: 2.866, usercpu_time_millis_training: 2094.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8787, f_measure: 0.8088, kappa: 0.6144, kb_relative_information_score: 1648.1737, mean_absolute_error: 0.2952, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8089, predictive_accuracy: 0.8091, prior_entropy: 0.9948, recall: 0.8091, relative_absolute_error: 0.5946, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3745, root_relative_squared_error: 0.7517, scimark_benchmark: 1696.8993, usercpu_time_millis: 1774.77, usercpu_time_millis_testing: 2.386, usercpu_time_millis_training: 1772.384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8665, f_measure: 0.7966, kappa: 0.5898, kb_relative_information_score: 1555.2286, mean_absolute_error: 0.3072, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7969, predictive_accuracy: 0.7971, prior_entropy: 0.9948, recall: 0.7971, relative_absolute_error: 0.6189, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3839, root_relative_squared_error: 0.7705, scimark_benchmark: 1718.8254, usercpu_time_millis: 1762.516, usercpu_time_millis_testing: 1.942, usercpu_time_millis_training: 1760.574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8368, f_measure: 0.774, kappa: 0.544, kb_relative_information_score: 1301.6382, mean_absolute_error: 0.3412, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7745, predictive_accuracy: 0.7747, prior_entropy: 0.9948, recall: 0.7747, relative_absolute_error: 0.6873, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4048, root_relative_squared_error: 0.8124, scimark_benchmark: 1674.3605, usercpu_time_millis: 1210.959, usercpu_time_millis_testing: 2.129, usercpu_time_millis_training: 1208.83,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8606, f_measure: 0.7894, kappa: 0.5751, kb_relative_information_score: 1503.358, mean_absolute_error: 0.3143, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7897, predictive_accuracy: 0.7899, prior_entropy: 0.9948, recall: 0.7899, relative_absolute_error: 0.6331, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3881, root_relative_squared_error: 0.779, scimark_benchmark: 1735.5368, usercpu_time_millis: 1199.048, usercpu_time_millis_testing: 1.41, usercpu_time_millis_training: 1197.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8808, f_measure: 0.8125, kappa: 0.6219, kb_relative_information_score: 1599.53, mean_absolute_error: 0.3028, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8127, predictive_accuracy: 0.8129, prior_entropy: 0.9948, recall: 0.8129, relative_absolute_error: 0.6099, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3745, root_relative_squared_error: 0.7517, scimark_benchmark: 1730.6549, usercpu_time_millis: 1060.324, usercpu_time_millis_testing: 4.158, usercpu_time_millis_training: 1056.166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8652, f_measure: 0.7972, kappa: 0.591, kb_relative_information_score: 1444.3093, mean_absolute_error: 0.3235, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7974, predictive_accuracy: 0.7977, prior_entropy: 0.9948, recall: 0.7977, relative_absolute_error: 0.6516, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3875, root_relative_squared_error: 0.7778, scimark_benchmark: 1718.2809, usercpu_time_millis: 720.705, usercpu_time_millis_testing: 2.241, usercpu_time_millis_training: 718.464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8578, f_measure: 0.7923, kappa: 0.5811, kb_relative_information_score: 1480.4307, mean_absolute_error: 0.3178, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7927, predictive_accuracy: 0.7929, prior_entropy: 0.9948, recall: 0.7929, relative_absolute_error: 0.6402, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3899, root_relative_squared_error: 0.7827, scimark_benchmark: 1683.4444, usercpu_time_millis: 743.353, usercpu_time_millis_testing: 1.598, usercpu_time_millis_training: 741.755,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8638, f_measure: 0.7926, kappa: 0.5816, kb_relative_information_score: 1534.1829, mean_absolute_error: 0.3103, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7929, predictive_accuracy: 0.7931, prior_entropy: 0.9948, recall: 0.7931, relative_absolute_error: 0.625, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3856, root_relative_squared_error: 0.774, scimark_benchmark: 1850.8185, usercpu_time_millis: 4288.455, usercpu_time_millis_testing: 2.068, usercpu_time_millis_training: 4286.387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8764, f_measure: 0.8061, kappa: 0.6089, kb_relative_information_score: 1633.5403, mean_absolute_error: 0.297, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8063, predictive_accuracy: 0.8065, prior_entropy: 0.9948, recall: 0.8065, relative_absolute_error: 0.5983, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3763, root_relative_squared_error: 0.7553, scimark_benchmark: 1851.3986, usercpu_time_millis: 3500.275, usercpu_time_millis_testing: 4.26, usercpu_time_millis_training: 3496.015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8628, f_measure: 0.7953, kappa: 0.5872, kb_relative_information_score: 1471.5828, mean_absolute_error: 0.3196, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7956, predictive_accuracy: 0.7958, prior_entropy: 0.9948, recall: 0.7958, relative_absolute_error: 0.6438, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3876, root_relative_squared_error: 0.778, scimark_benchmark: 1847.8629, usercpu_time_millis: 2269.807, usercpu_time_millis_testing: 3.547, usercpu_time_millis_training: 2266.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8746, f_measure: 0.8071, kappa: 0.6108, kb_relative_information_score: 1566.0897, mean_absolute_error: 0.3071, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8074, predictive_accuracy: 0.8075, prior_entropy: 0.9948, recall: 0.8075, relative_absolute_error: 0.6186, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3789, root_relative_squared_error: 0.7604, scimark_benchmark: 1848.388, usercpu_time_millis: 1499.607, usercpu_time_millis_testing: 2.872, usercpu_time_millis_training: 1496.735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8271, f_measure: 0.7529, kappa: 0.5016, kb_relative_information_score: 1234.1731, mean_absolute_error: 0.3511, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7569, predictive_accuracy: 0.7553, prior_entropy: 0.9948, recall: 0.7553, relative_absolute_error: 0.7073, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4119, root_relative_squared_error: 0.8267, scimark_benchmark: 1738.9713, usercpu_time_millis: 854.779, usercpu_time_millis_testing: 1.472, usercpu_time_millis_training: 853.307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.865, f_measure: 0.8, kappa: 0.5965, kb_relative_information_score: 1374.1788, mean_absolute_error: 0.3337, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8005, predictive_accuracy: 0.8006, prior_entropy: 0.9948, recall: 0.8006, relative_absolute_error: 0.6721, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.39, root_relative_squared_error: 0.7828, scimark_benchmark: 1847.3482, usercpu_time_millis: 407.132, usercpu_time_millis_testing: 2.719, usercpu_time_millis_training: 404.413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8475, f_measure: 0.779, kappa: 0.5543, kb_relative_information_score: 1172.4163, mean_absolute_error: 0.3602, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7792, predictive_accuracy: 0.7795, prior_entropy: 0.9948, recall: 0.7795, relative_absolute_error: 0.7256, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.405, root_relative_squared_error: 0.8129, scimark_benchmark: 1834.8504, usercpu_time_millis: 334.963, usercpu_time_millis_testing: 2.5, usercpu_time_millis_training: 332.463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8422, f_measure: 0.7787, kappa: 0.5535, kb_relative_information_score: 1334.1985, mean_absolute_error: 0.3371, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7795, predictive_accuracy: 0.7795, prior_entropy: 0.9948, recall: 0.7795, relative_absolute_error: 0.679, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4013, root_relative_squared_error: 0.8055, scimark_benchmark: 1845.8518, usercpu_time_millis: 201.997, usercpu_time_millis_testing: 0.925, usercpu_time_millis_training: 201.072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7958, f_measure: 0.7366, kappa: 0.4704, kb_relative_information_score: 667.1622, mean_absolute_error: 0.4255, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7374, predictive_accuracy: 0.7363, prior_entropy: 0.9948, recall: 0.7363, relative_absolute_error: 0.8571, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.444, root_relative_squared_error: 0.8912, scimark_benchmark: 1837.1638, usercpu_time_millis: 125.861, usercpu_time_millis_testing: 1.333, usercpu_time_millis_training: 124.528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8367, f_measure: 0.7717, kappa: 0.5392, kb_relative_information_score: 1196.7475, mean_absolute_error: 0.3568, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7726, predictive_accuracy: 0.7726, prior_entropy: 0.9948, recall: 0.7726, relative_absolute_error: 0.7188, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4071, root_relative_squared_error: 0.8172, scimark_benchmark: 1853.454, usercpu_time_millis: 97.539, usercpu_time_millis_testing: 0.929, usercpu_time_millis_training: 96.61,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.833, f_measure: 0.764, kappa: 0.5241, kb_relative_information_score: 1004.4427, mean_absolute_error: 0.382, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.764, predictive_accuracy: 0.7643, prior_entropy: 0.9948, recall: 0.7643, relative_absolute_error: 0.7696, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4172, root_relative_squared_error: 0.8373, scimark_benchmark: 1853.5297, usercpu_time_millis: 93.023, usercpu_time_millis_testing: 1.909, usercpu_time_millis_training: 91.114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8128, f_measure: 0.7539, kappa: 0.5035, kb_relative_information_score: 863.5771, mean_absolute_error: 0.4011, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7566, predictive_accuracy: 0.7558, prior_entropy: 0.9948, recall: 0.7558, relative_absolute_error: 0.808, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4287, root_relative_squared_error: 0.8604, scimark_benchmark: 1761.3596, usercpu_time_millis: 23.944, usercpu_time_millis_testing: 0.722, usercpu_time_millis_training: 23.222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8498, f_measure: 0.775, kappa: 0.5461, kb_relative_information_score: 1108.3947, mean_absolute_error: 0.3688, 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: 0.7429, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4077, root_relative_squared_error: 0.8184, scimark_benchmark: 1848.388, usercpu_time_millis: 17.224, usercpu_time_millis_testing: 1.164, usercpu_time_millis_training: 16.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: 0.022, 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: 1850.2875, usercpu_time_millis: 7.509, usercpu_time_millis_testing: 1.452, usercpu_time_millis_training: 6.057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, f_measure: 0.3813, kb_relative_information_score: 0.0105, 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: 1766.8072, usercpu_time_millis: 4.583, usercpu_time_millis_testing: 0.679, usercpu_time_millis_training: 3.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.771, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 835.9673, mean_absolute_error: 0.4048, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8154, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4386, root_relative_squared_error: 0.8804, scimark_benchmark: 1852.0126, usercpu_time_millis: 6.047, usercpu_time_millis_testing: 0.623, usercpu_time_millis_training: 5.424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3813, kb_relative_information_score: 0.0153, 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: 1850.2875, usercpu_time_millis: 4.932, usercpu_time_millis_testing: 0.712, usercpu_time_millis_training: 4.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8641, f_measure: 0.7926, kappa: 0.5816, kb_relative_information_score: 1553.0607, mean_absolute_error: 0.3073, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7929, predictive_accuracy: 0.7931, prior_entropy: 0.9948, recall: 0.7931, relative_absolute_error: 0.619, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3852, root_relative_squared_error: 0.7732, scimark_benchmark: 1722.1998, usercpu_time_millis: 12874.085, usercpu_time_millis_testing: 4.122, usercpu_time_millis_training: 12869.963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8533, f_measure: 0.7836, kappa: 0.5634, kb_relative_information_score: 1466.058, mean_absolute_error: 0.3189, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7842, predictive_accuracy: 0.7843, prior_entropy: 0.9948, recall: 0.7843, relative_absolute_error: 0.6424, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.393, root_relative_squared_error: 0.7889, scimark_benchmark: 1722.1998, usercpu_time_millis: 7420.779, usercpu_time_millis_testing: 3.68, usercpu_time_millis_training: 7417.099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8511, f_measure: 0.7771, kappa: 0.5504, kb_relative_information_score: 1452.3567, mean_absolute_error: 0.3206, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7778, predictive_accuracy: 0.7779, prior_entropy: 0.9948, recall: 0.7779, relative_absolute_error: 0.6458, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3943, root_relative_squared_error: 0.7915, scimark_benchmark: 1789.4699, usercpu_time_millis: 7230.299, usercpu_time_millis_testing: 2.63, usercpu_time_millis_training: 7227.669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8612, f_measure: 0.7913, kappa: 0.579, kb_relative_information_score: 1510.2836, mean_absolute_error: 0.3137, 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: 0.6319, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3874, root_relative_squared_error: 0.7777, scimark_benchmark: 1739.8666, usercpu_time_millis: 5319.183, usercpu_time_millis_testing: 3.578, usercpu_time_millis_training: 5315.605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.863, f_measure: 0.7944, kappa: 0.5852, kb_relative_information_score: 1452.5461, mean_absolute_error: 0.3225, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7949, predictive_accuracy: 0.795, prior_entropy: 0.9948, recall: 0.795, relative_absolute_error: 0.6496, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.388, root_relative_squared_error: 0.7788, scimark_benchmark: 1825.7071, usercpu_time_millis: 2641.528, usercpu_time_millis_testing: 4.902, usercpu_time_millis_training: 2636.626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8768, f_measure: 0.8084, kappa: 0.6135, kb_relative_information_score: 1649.5626, mean_absolute_error: 0.2948, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8087, predictive_accuracy: 0.8089, prior_entropy: 0.9948, recall: 0.8089, relative_absolute_error: 0.5939, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3756, root_relative_squared_error: 0.754, scimark_benchmark: 1724.8648, usercpu_time_millis: 2118.162, usercpu_time_millis_testing: 2.483, usercpu_time_millis_training: 2115.679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8335, f_measure: 0.764, kappa: 0.5237, kb_relative_information_score: 1313.7193, mean_absolute_error: 0.3387, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7652, predictive_accuracy: 0.7651, prior_entropy: 0.9948, recall: 0.7651, relative_absolute_error: 0.6823, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4065, root_relative_squared_error: 0.816, scimark_benchmark: 1846.0122, usercpu_time_millis: 1780.995, usercpu_time_millis_testing: 1.715, usercpu_time_millis_training: 1779.28,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8794, f_measure: 0.8119, kappa: 0.6206, kb_relative_information_score: 1616.3707, mean_absolute_error: 0.3001, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8122, predictive_accuracy: 0.8123, prior_entropy: 0.9948, recall: 0.8123, relative_absolute_error: 0.6045, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3748, root_relative_squared_error: 0.7523, scimark_benchmark: 1763.3868, usercpu_time_millis: 1621.875, usercpu_time_millis_testing: 3.231, usercpu_time_millis_training: 1618.644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8758, f_measure: 0.8045, kappa: 0.6057, kb_relative_information_score: 1665.0944, mean_absolute_error: 0.2923, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8046, predictive_accuracy: 0.8049, prior_entropy: 0.9948, recall: 0.8049, relative_absolute_error: 0.5888, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.376, root_relative_squared_error: 0.7547, scimark_benchmark: 1850.2875, usercpu_time_millis: 1587.828, usercpu_time_millis_testing: 1.849, usercpu_time_millis_training: 1585.979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8527, f_measure: 0.7847, kappa: 0.5657, kb_relative_information_score: 1427.684, mean_absolute_error: 0.3248, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7849, predictive_accuracy: 0.7851, prior_entropy: 0.9948, recall: 0.7851, relative_absolute_error: 0.6542, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3939, root_relative_squared_error: 0.7907, scimark_benchmark: 1853.9121, usercpu_time_millis: 703.091, usercpu_time_millis_testing: 1.414, usercpu_time_millis_training: 701.677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8625, f_measure: 0.7973, kappa: 0.5911, kb_relative_information_score: 1533.179, mean_absolute_error: 0.3105, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7974, predictive_accuracy: 0.7977, prior_entropy: 0.9948, recall: 0.7977, relative_absolute_error: 0.6255, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3863, root_relative_squared_error: 0.7753, scimark_benchmark: 1758.3971, usercpu_time_millis: 621.947, usercpu_time_millis_testing: 1.227, usercpu_time_millis_training: 620.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8173, f_measure: 0.752, kappa: 0.4998, kb_relative_information_score: 1153.106, mean_absolute_error: 0.363, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7554, predictive_accuracy: 0.7542, prior_entropy: 0.9948, recall: 0.7542, relative_absolute_error: 0.7311, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4171, root_relative_squared_error: 0.8373, scimark_benchmark: 1743.6431, usercpu_time_millis: 538.244, usercpu_time_millis_testing: 1.405, usercpu_time_millis_training: 536.839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8518, f_measure: 0.7841, kappa: 0.5646, kb_relative_information_score: 1322.0041, mean_absolute_error: 0.3398, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7843, predictive_accuracy: 0.7846, prior_entropy: 0.9948, recall: 0.7846, relative_absolute_error: 0.6845, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.7975, scimark_benchmark: 1843.8857, usercpu_time_millis: 370.9, usercpu_time_millis_testing: 1.812, usercpu_time_millis_training: 369.088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8244, f_measure: 0.7531, kappa: 0.502, kb_relative_information_score: 1325.0306, mean_absolute_error: 0.3372, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7564, predictive_accuracy: 0.7553, prior_entropy: 0.9948, recall: 0.7553, relative_absolute_error: 0.6793, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.41, root_relative_squared_error: 0.823, scimark_benchmark: 1846.1643, usercpu_time_millis: 341.088, usercpu_time_millis_testing: 0.714, usercpu_time_millis_training: 340.374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7918, f_measure: 0.7374, kappa: 0.4718, kb_relative_information_score: 672.5598, mean_absolute_error: 0.4247, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.738, predictive_accuracy: 0.7371, prior_entropy: 0.9948, recall: 0.7371, relative_absolute_error: 0.8554, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4444, root_relative_squared_error: 0.892, scimark_benchmark: 1847.2233, usercpu_time_millis: 170.102, usercpu_time_millis_testing: 1.372, usercpu_time_millis_training: 168.73,

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

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs