OpenML
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 9910 Supervised Classification Bioresponse 17585 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7921, f_measure: 0.6986, kappa: 0.3925, kb_relative_information_score: 511.0763, mean_absolute_error: 0.4426, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7029, predictive_accuracy: 0.7022, prior_entropy: 0.9948, recall: 0.7022, relative_absolute_error: 0.8917, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4538, root_relative_squared_error: 0.9109, scimark_benchmark: 1756.3037, usercpu_time_millis: 23.794, usercpu_time_millis_testing: 2.456, usercpu_time_millis_training: 21.338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7859, f_measure: 0.6866, kappa: 0.3699, kb_relative_information_score: 432.3111, mean_absolute_error: 0.4517, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6955, predictive_accuracy: 0.6926, prior_entropy: 0.9948, recall: 0.6926, relative_absolute_error: 0.91, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4603, root_relative_squared_error: 0.9238, scimark_benchmark: 1743.4235, usercpu_time_millis: 22.417, usercpu_time_millis_testing: 2.365, usercpu_time_millis_training: 20.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8375, f_measure: 0.7544, kappa: 0.5045, kb_relative_information_score: 776.0473, mean_absolute_error: 0.4119, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7546, predictive_accuracy: 0.755, prior_entropy: 0.9948, recall: 0.755, relative_absolute_error: 0.8297, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4304, root_relative_squared_error: 0.8638, scimark_benchmark: 1800.0885, usercpu_time_millis: 14.678, usercpu_time_millis_testing: 1.291, usercpu_time_millis_training: 13.387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7803, f_measure: 0.6652, kappa: 0.3384, kb_relative_information_score: 272.2415, mean_absolute_error: 0.4692, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6993, predictive_accuracy: 0.6817, prior_entropy: 0.9948, recall: 0.6817, relative_absolute_error: 0.9452, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4736, root_relative_squared_error: 0.9506, scimark_benchmark: 1807.956, usercpu_time_millis: 10.81, usercpu_time_millis_testing: 1.166, usercpu_time_millis_training: 9.644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7696, f_measure: 0.611, kappa: 0.2589, kb_relative_information_score: 203.7002, mean_absolute_error: 0.4764, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6925, predictive_accuracy: 0.6489, prior_entropy: 0.9948, recall: 0.6489, relative_absolute_error: 0.9597, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4797, root_relative_squared_error: 0.9629, scimark_benchmark: 2119.1103, usercpu_time_millis: 14.293, usercpu_time_millis_testing: 1.608, usercpu_time_millis_training: 12.685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7613, f_measure: 0.6592, kappa: 0.3197, kb_relative_information_score: 306.581, mean_absolute_error: 0.4654, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6774, predictive_accuracy: 0.6705, prior_entropy: 0.9948, recall: 0.6705, relative_absolute_error: 0.9376, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4712, root_relative_squared_error: 0.9458, scimark_benchmark: 1758.6315, usercpu_time_millis: 5.786, usercpu_time_millis_testing: 0.713, usercpu_time_millis_training: 5.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7868, f_measure: 0.7082, kappa: 0.4112, kb_relative_information_score: 627.5437, mean_absolute_error: 0.4281, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7094, predictive_accuracy: 0.7099, prior_entropy: 0.9948, recall: 0.7099, relative_absolute_error: 0.8624, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4464, root_relative_squared_error: 0.8959, scimark_benchmark: 1751.3307, usercpu_time_millis: 5.407, usercpu_time_millis_testing: 0.696, usercpu_time_millis_training: 4.711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.3813, kb_relative_information_score: -0.0549, 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: 1691.4309, usercpu_time_millis: 9.938, usercpu_time_millis_testing: 1.046, usercpu_time_millis_training: 8.892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3813, kb_relative_information_score: -0.2962, mean_absolute_error: 0.4965, 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: 1709.5017, usercpu_time_millis: 6.06, usercpu_time_millis_testing: 0.8, usercpu_time_millis_training: 5.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8599, f_measure: 0.7897, kappa: 0.5758, kb_relative_information_score: 1515.5294, mean_absolute_error: 0.3123, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.79, predictive_accuracy: 0.7902, prior_entropy: 0.9948, recall: 0.7902, relative_absolute_error: 0.6292, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3883, root_relative_squared_error: 0.7793, scimark_benchmark: 1712.0526, usercpu_time_millis: 8530.368, usercpu_time_millis_testing: 3.238, usercpu_time_millis_training: 8527.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8668, f_measure: 0.7959, kappa: 0.5883, kb_relative_information_score: 1576.4929, mean_absolute_error: 0.3043, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7961, predictive_accuracy: 0.7963, prior_entropy: 0.9948, recall: 0.7963, relative_absolute_error: 0.613, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3831, root_relative_squared_error: 0.7689, scimark_benchmark: 1721.8642, usercpu_time_millis: 7391.854, usercpu_time_millis_testing: 3.232, usercpu_time_millis_training: 7388.622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.829, f_measure: 0.763, kappa: 0.522, kb_relative_information_score: 1271.1396, mean_absolute_error: 0.3449, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7631, predictive_accuracy: 0.7635, prior_entropy: 0.9948, recall: 0.7635, relative_absolute_error: 0.6947, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.409, root_relative_squared_error: 0.821, scimark_benchmark: 1688.9809, usercpu_time_millis: 2695.525, usercpu_time_millis_testing: 2.932, usercpu_time_millis_training: 2692.593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.868, f_measure: 0.7988, kappa: 0.5942, kb_relative_information_score: 1629.7254, mean_absolute_error: 0.2961, 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: 0.5965, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3821, root_relative_squared_error: 0.7669, scimark_benchmark: 1752.3185, usercpu_time_millis: 3802.153, usercpu_time_millis_testing: 1.686, usercpu_time_millis_training: 3800.467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8344, f_measure: 0.7573, kappa: 0.5103, kb_relative_information_score: 1311.0634, mean_absolute_error: 0.3396, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7597, predictive_accuracy: 0.759, prior_entropy: 0.9948, recall: 0.759, relative_absolute_error: 0.684, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4064, root_relative_squared_error: 0.8156, scimark_benchmark: 1726.846, usercpu_time_millis: 1290.471, usercpu_time_millis_testing: 1.282, usercpu_time_millis_training: 1289.189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8737, f_measure: 0.8052, kappa: 0.6071, kb_relative_information_score: 1626.2404, mean_absolute_error: 0.298, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8055, predictive_accuracy: 0.8057, prior_entropy: 0.9948, recall: 0.8057, relative_absolute_error: 0.6003, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3779, root_relative_squared_error: 0.7585, scimark_benchmark: 1721.2871, usercpu_time_millis: 4440.313, usercpu_time_millis_testing: 2.552, usercpu_time_millis_training: 4437.761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8632, f_measure: 0.7936, kappa: 0.5836, kb_relative_information_score: 1533.6515, mean_absolute_error: 0.3103, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7941, predictive_accuracy: 0.7942, prior_entropy: 0.9948, recall: 0.7942, relative_absolute_error: 0.625, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.386, root_relative_squared_error: 0.7748, scimark_benchmark: 2085.1661, usercpu_time_millis: 594.393, usercpu_time_millis_testing: 0.774, usercpu_time_millis_training: 593.619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8058, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 1028.3884, mean_absolute_error: 0.3794, 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: 0.7643, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.428, root_relative_squared_error: 0.8591, scimark_benchmark: 1842.1882, usercpu_time_millis: 562.371, usercpu_time_millis_testing: 1.494, usercpu_time_millis_training: 560.877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8451, f_measure: 0.7785, kappa: 0.5532, kb_relative_information_score: 1387.424, mean_absolute_error: 0.3301, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7787, predictive_accuracy: 0.779, prior_entropy: 0.9948, recall: 0.779, relative_absolute_error: 0.665, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3985, root_relative_squared_error: 0.7999, scimark_benchmark: 1735.3022, usercpu_time_millis: 2400.947, usercpu_time_millis_testing: 3.148, usercpu_time_millis_training: 2397.799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8423, f_measure: 0.7773, kappa: 0.5509, kb_relative_information_score: 1367.1559, mean_absolute_error: 0.3326, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7773, predictive_accuracy: 0.7777, prior_entropy: 0.9948, recall: 0.7777, relative_absolute_error: 0.67, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4005, root_relative_squared_error: 0.8039, scimark_benchmark: 1716.0204, usercpu_time_millis: 217.874, usercpu_time_millis_testing: 0.976, usercpu_time_millis_training: 216.898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8179, f_measure: 0.753, kappa: 0.5016, kb_relative_information_score: 1062.7894, mean_absolute_error: 0.3756, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7553, predictive_accuracy: 0.7547, prior_entropy: 0.9948, recall: 0.7547, relative_absolute_error: 0.7565, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4187, root_relative_squared_error: 0.8404, scimark_benchmark: 1843.7454, usercpu_time_millis: 212.166, usercpu_time_millis_testing: 1.127, usercpu_time_millis_training: 211.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8404, f_measure: 0.7728, kappa: 0.5415, kb_relative_information_score: 1380.0671, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7736, predictive_accuracy: 0.7737, prior_entropy: 0.9948, recall: 0.7737, relative_absolute_error: 0.6648, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4015, root_relative_squared_error: 0.8058, scimark_benchmark: 1733.5771, usercpu_time_millis: 207.27, usercpu_time_millis_testing: 0.763, usercpu_time_millis_training: 206.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8421, f_measure: 0.7561, kappa: 0.508, kb_relative_information_score: 807.4328, mean_absolute_error: 0.4082, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7562, predictive_accuracy: 0.7566, prior_entropy: 0.9948, recall: 0.7566, relative_absolute_error: 0.8222, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4276, root_relative_squared_error: 0.8583, scimark_benchmark: 1755.4795, usercpu_time_millis: 59.253, usercpu_time_millis_testing: 4.603, usercpu_time_millis_training: 54.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.819, f_measure: 0.7292, kappa: 0.4537, kb_relative_information_score: 569.0567, mean_absolute_error: 0.4364, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7321, predictive_accuracy: 0.7315, prior_entropy: 0.9948, recall: 0.7315, relative_absolute_error: 0.8792, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4477, root_relative_squared_error: 0.8986, scimark_benchmark: 1721.098, usercpu_time_millis: 37.311, usercpu_time_millis_testing: 3.551, usercpu_time_millis_training: 33.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8477, f_measure: 0.7647, kappa: 0.5255, kb_relative_information_score: 904.4653, mean_absolute_error: 0.396, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7648, predictive_accuracy: 0.7651, prior_entropy: 0.9948, recall: 0.7651, relative_absolute_error: 0.7977, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4201, root_relative_squared_error: 0.8432, scimark_benchmark: 1727.1418, usercpu_time_millis: 45.117, usercpu_time_millis_testing: 2.657, usercpu_time_millis_training: 42.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8018, f_measure: 0.7075, kappa: 0.4102, kb_relative_information_score: 557.5321, mean_absolute_error: 0.4374, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7109, predictive_accuracy: 0.7105, prior_entropy: 0.9948, recall: 0.7105, relative_absolute_error: 0.8812, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4496, root_relative_squared_error: 0.9025, scimark_benchmark: 1750.2277, usercpu_time_millis: 18.864, usercpu_time_millis_testing: 1.629, usercpu_time_millis_training: 17.235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7597, f_measure: 0.6313, kappa: 0.2838, kb_relative_information_score: 208.879, mean_absolute_error: 0.4759, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.686, predictive_accuracy: 0.6582, prior_entropy: 0.9948, recall: 0.6582, relative_absolute_error: 0.9586, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4794, root_relative_squared_error: 0.9622, scimark_benchmark: 1965.0565, usercpu_time_millis: 20.827, usercpu_time_millis_testing: 2.133, usercpu_time_millis_training: 18.694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7851, f_measure: 0.6854, kappa: 0.3674, kb_relative_information_score: 444.0855, mean_absolute_error: 0.4504, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6939, predictive_accuracy: 0.6913, prior_entropy: 0.9948, recall: 0.6913, relative_absolute_error: 0.9072, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4594, root_relative_squared_error: 0.9221, scimark_benchmark: 1710.9623, usercpu_time_millis: 27.977, usercpu_time_millis_testing: 2.429, usercpu_time_millis_training: 25.548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7816, f_measure: 0.6673, kappa: 0.3413, kb_relative_information_score: 278.9344, mean_absolute_error: 0.4686, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6987, predictive_accuracy: 0.6828, prior_entropy: 0.9948, recall: 0.6828, relative_absolute_error: 0.944, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.473, root_relative_squared_error: 0.9494, scimark_benchmark: 1962.7002, usercpu_time_millis: 18.745, usercpu_time_millis_testing: 1.996, usercpu_time_millis_training: 16.749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8339, f_measure: 0.7459, kappa: 0.4874, kb_relative_information_score: 750.7739, mean_absolute_error: 0.4149, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7463, predictive_accuracy: 0.7467, prior_entropy: 0.9948, recall: 0.7467, relative_absolute_error: 0.8358, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4325, root_relative_squared_error: 0.8682, scimark_benchmark: 1793.4057, usercpu_time_millis: 22.986, usercpu_time_millis_testing: 1.927, usercpu_time_millis_training: 21.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8276, f_measure: 0.7398, kappa: 0.4749, kb_relative_information_score: 624.1209, mean_absolute_error: 0.4301, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7415, predictive_accuracy: 0.7414, prior_entropy: 0.9948, recall: 0.7414, relative_absolute_error: 0.8663, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4429, root_relative_squared_error: 0.889, scimark_benchmark: 1801.5887, usercpu_time_millis: 17.554, usercpu_time_millis_testing: 1.678, usercpu_time_millis_training: 15.876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7094, f_measure: 0.6554, kappa: 0.3055, kb_relative_information_score: 666.0806, mean_absolute_error: 0.4177, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6553, predictive_accuracy: 0.6556, prior_entropy: 0.9948, recall: 0.6556, relative_absolute_error: 0.8415, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4662, root_relative_squared_error: 0.9357, scimark_benchmark: 1964.041, usercpu_time_millis: 4.34, usercpu_time_millis_testing: 0.611, usercpu_time_millis_training: 3.729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7443, f_measure: 0.5966, kappa: 0.2322, kb_relative_information_score: 170.6493, mean_absolute_error: 0.4798, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6742, predictive_accuracy: 0.6364, prior_entropy: 0.9948, recall: 0.6364, relative_absolute_error: 0.9665, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4829, root_relative_squared_error: 0.9692, scimark_benchmark: 1752.902, usercpu_time_millis: 11.25, usercpu_time_millis_testing: 1.39, usercpu_time_millis_training: 9.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7585, f_measure: 0.6447, kappa: 0.2976, kb_relative_information_score: 247.8223, mean_absolute_error: 0.4718, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6752, predictive_accuracy: 0.662, prior_entropy: 0.9948, recall: 0.662, relative_absolute_error: 0.9503, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4761, root_relative_squared_error: 0.9556, scimark_benchmark: 1793.3498, usercpu_time_millis: 12.072, usercpu_time_millis_testing: 1.441, usercpu_time_millis_training: 10.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8621, f_measure: 0.7889, kappa: 0.5744, kb_relative_information_score: 1394.4393, mean_absolute_error: 0.3295, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7889, predictive_accuracy: 0.7891, prior_entropy: 0.9948, recall: 0.7891, relative_absolute_error: 0.6637, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3911, root_relative_squared_error: 0.7851, scimark_benchmark: 1842.1882, usercpu_time_millis: 16.752, usercpu_time_millis_testing: 0.738, usercpu_time_millis_training: 16.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.2078, 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: 1849.408, usercpu_time_millis: 6.985, usercpu_time_millis_testing: 0.965, usercpu_time_millis_training: 6.02,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7635, f_measure: 0.6556, kappa: 0.3168, kb_relative_information_score: 278.322, mean_absolute_error: 0.4686, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6824, predictive_accuracy: 0.6705, prior_entropy: 0.9948, recall: 0.6705, relative_absolute_error: 0.9439, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4735, root_relative_squared_error: 0.9503, scimark_benchmark: 1726.1973, usercpu_time_millis: 11.758, usercpu_time_millis_testing: 1.35, usercpu_time_millis_training: 10.408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7511, f_measure: 0.6247, kappa: 0.2697, kb_relative_information_score: 205.2182, mean_absolute_error: 0.4762, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6752, predictive_accuracy: 0.6513, prior_entropy: 0.9948, recall: 0.6513, relative_absolute_error: 0.9593, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4798, root_relative_squared_error: 0.963, scimark_benchmark: 1728.3281, usercpu_time_millis: 10.628, usercpu_time_millis_testing: 1.374, usercpu_time_millis_training: 9.254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: -0.1787, 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: 1723.9068, usercpu_time_millis: 9.797, usercpu_time_millis_testing: 1.247, usercpu_time_millis_training: 8.55,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: 0.0081, 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: 1734.5969, usercpu_time_millis: 8.53, usercpu_time_millis_testing: 1.646, usercpu_time_millis_training: 6.884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7421, f_measure: 0.3867, kappa: 0.0057, kb_relative_information_score: 73.4063, mean_absolute_error: 0.4895, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7525, predictive_accuracy: 0.5447, prior_entropy: 0.9948, recall: 0.5447, relative_absolute_error: 0.986, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4914, root_relative_squared_error: 0.9864, scimark_benchmark: 1748.0137, usercpu_time_millis: 10.779, usercpu_time_millis_testing: 1.559, usercpu_time_millis_training: 9.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3813, kb_relative_information_score: -0.1624, 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: 1848.321, usercpu_time_millis: 6.656, usercpu_time_millis_testing: 0.857, usercpu_time_millis_training: 5.799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3813, kb_relative_information_score: 0.1002, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1730.5465, usercpu_time_millis: 8.024, usercpu_time_millis_testing: 1.139, usercpu_time_millis_training: 6.885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8536, f_measure: 0.7832, kappa: 0.5628, kb_relative_information_score: 1088.0412, mean_absolute_error: 0.3719, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7832, predictive_accuracy: 0.7835, prior_entropy: 0.9948, recall: 0.7835, relative_absolute_error: 0.7491, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4079, root_relative_squared_error: 0.8186, scimark_benchmark: 1757.5949, usercpu_time_millis: 94.672, usercpu_time_millis_testing: 2.642, usercpu_time_millis_training: 92.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.865, f_measure: 0.785, kappa: 0.5666, kb_relative_information_score: 1114.5458, mean_absolute_error: 0.3693, 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: 0.7438, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.8103, scimark_benchmark: 1943.3083, usercpu_time_millis: 34.394, usercpu_time_millis_testing: 3.29, usercpu_time_millis_training: 31.104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3813, kb_relative_information_score: 0.0473, 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: 1751.1624, usercpu_time_millis: 7.812, usercpu_time_millis_testing: 1.103, usercpu_time_millis_training: 6.709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8721, f_measure: 0.8047, kappa: 0.6061, kb_relative_information_score: 1580.6813, mean_absolute_error: 0.3046, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.805, predictive_accuracy: 0.8051, prior_entropy: 0.9948, recall: 0.8051, relative_absolute_error: 0.6136, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3798, root_relative_squared_error: 0.7623, scimark_benchmark: 1911.9372, usercpu_time_millis: 4205.69, usercpu_time_millis_testing: 3.144, usercpu_time_millis_training: 4202.546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8328, f_measure: 0.7613, kappa: 0.5183, kb_relative_information_score: 1317.0421, mean_absolute_error: 0.3382, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7625, predictive_accuracy: 0.7625, prior_entropy: 0.9948, recall: 0.7625, relative_absolute_error: 0.6812, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4068, root_relative_squared_error: 0.8166, scimark_benchmark: 1723.8474, usercpu_time_millis: 3885.14, usercpu_time_millis_testing: 2.488, usercpu_time_millis_training: 3882.652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8726, f_measure: 0.8025, kappa: 0.6016, kb_relative_information_score: 1577.5216, mean_absolute_error: 0.3052, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8028, predictive_accuracy: 0.803, prior_entropy: 0.9948, recall: 0.803, relative_absolute_error: 0.6148, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.7618, scimark_benchmark: 1786.5357, usercpu_time_millis: 4844.28, usercpu_time_millis_testing: 4.79, usercpu_time_millis_training: 4839.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8604, f_measure: 0.7923, kappa: 0.581, kb_relative_information_score: 1495.0723, mean_absolute_error: 0.3161, 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: 0.6367, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.388, root_relative_squared_error: 0.7788, scimark_benchmark: 1730.2569, usercpu_time_millis: 4614.74, usercpu_time_millis_testing: 3.512, usercpu_time_millis_training: 4611.228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8727, f_measure: 0.7955, kappa: 0.5876, kb_relative_information_score: 1780.731, mean_absolute_error: 0.2733, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7955, predictive_accuracy: 0.7958, prior_entropy: 0.9948, recall: 0.7958, relative_absolute_error: 0.5506, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3786, root_relative_squared_error: 0.76, scimark_benchmark: 1744.393, usercpu_time_millis: 4358.526, usercpu_time_millis_testing: 2.254, usercpu_time_millis_training: 4356.272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8319, f_measure: 0.7515, kappa: 0.4987, kb_relative_information_score: 1325.6136, mean_absolute_error: 0.3372, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7541, predictive_accuracy: 0.7534, prior_entropy: 0.9948, recall: 0.7534, relative_absolute_error: 0.6792, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4072, root_relative_squared_error: 0.8172, scimark_benchmark: 1734.2713, usercpu_time_millis: 4123.741, usercpu_time_millis_testing: 2.298, usercpu_time_millis_training: 4121.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8534, f_measure: 0.7838, kappa: 0.5639, kb_relative_information_score: 1441.2745, mean_absolute_error: 0.3231, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7841, predictive_accuracy: 0.7843, prior_entropy: 0.9948, recall: 0.7843, relative_absolute_error: 0.6508, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.393, root_relative_squared_error: 0.7889, scimark_benchmark: 1755.4414, usercpu_time_millis: 3273.744, usercpu_time_millis_testing: 3.418, usercpu_time_millis_training: 3270.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8555, f_measure: 0.7877, kappa: 0.5717, kb_relative_information_score: 1456.7151, mean_absolute_error: 0.3211, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7882, predictive_accuracy: 0.7883, prior_entropy: 0.9948, recall: 0.7883, relative_absolute_error: 0.6469, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3916, root_relative_squared_error: 0.786, scimark_benchmark: 1916.561, usercpu_time_millis: 1219.97, usercpu_time_millis_testing: 1.683, usercpu_time_millis_training: 1218.287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8683, f_measure: 0.8011, kappa: 0.5987, kb_relative_information_score: 1441.1015, mean_absolute_error: 0.3245, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8016, predictive_accuracy: 0.8017, prior_entropy: 0.9948, recall: 0.8017, relative_absolute_error: 0.6537, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.386, root_relative_squared_error: 0.7747, scimark_benchmark: 1916.561, usercpu_time_millis: 922.672, usercpu_time_millis_testing: 3.365, usercpu_time_millis_training: 919.307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8766, f_measure: 0.8103, kappa: 0.6174, kb_relative_information_score: 1465.3117, mean_absolute_error: 0.3217, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8106, predictive_accuracy: 0.8107, prior_entropy: 0.9948, recall: 0.8107, relative_absolute_error: 0.6481, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3816, root_relative_squared_error: 0.7658, scimark_benchmark: 1731.709, usercpu_time_millis: 880.82, usercpu_time_millis_testing: 4.694, usercpu_time_millis_training: 876.126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8491, f_measure: 0.7828, kappa: 0.5617, kb_relative_information_score: 1399.4661, mean_absolute_error: 0.3284, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7834, predictive_accuracy: 0.7835, prior_entropy: 0.9948, recall: 0.7835, relative_absolute_error: 0.6615, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3964, root_relative_squared_error: 0.7957, scimark_benchmark: 1772.199, usercpu_time_millis: 2405.328, usercpu_time_millis_testing: 2.368, usercpu_time_millis_training: 2402.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8399, f_measure: 0.7736, kappa: 0.5432, kb_relative_information_score: 1341.3981, mean_absolute_error: 0.3355, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7749, predictive_accuracy: 0.7747, prior_entropy: 0.9948, recall: 0.7747, relative_absolute_error: 0.6758, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4028, root_relative_squared_error: 0.8084, scimark_benchmark: 1731.5366, usercpu_time_millis: 1705.814, usercpu_time_millis_testing: 1.999, usercpu_time_millis_training: 1703.815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8594, f_measure: 0.7872, kappa: 0.5707, kb_relative_information_score: 1385.4667, mean_absolute_error: 0.3316, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7876, predictive_accuracy: 0.7878, prior_entropy: 0.9948, recall: 0.7878, relative_absolute_error: 0.668, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3918, root_relative_squared_error: 0.7864, scimark_benchmark: 1726.1942, usercpu_time_millis: 385.046, usercpu_time_millis_testing: 2.037, usercpu_time_millis_training: 383.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.859, f_measure: 0.7915, kappa: 0.5794, kb_relative_information_score: 1482.3067, mean_absolute_error: 0.3174, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7919, predictive_accuracy: 0.7921, prior_entropy: 0.9948, recall: 0.7921, relative_absolute_error: 0.6393, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3894, root_relative_squared_error: 0.7817, scimark_benchmark: 1730.8099, usercpu_time_millis: 139.356, usercpu_time_millis_testing: 0.967, usercpu_time_millis_training: 138.389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8716, f_measure: 0.8028, kappa: 0.6023, kb_relative_information_score: 1582.4639, mean_absolute_error: 0.3043, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8031, predictive_accuracy: 0.8033, prior_entropy: 0.9948, recall: 0.8033, relative_absolute_error: 0.613, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.38, root_relative_squared_error: 0.7627, scimark_benchmark: 1701.9121, usercpu_time_millis: 7594.328, usercpu_time_millis_testing: 4.208, usercpu_time_millis_training: 7590.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7934, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 920.4795, mean_absolute_error: 0.394, 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: 0.7937, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4352, root_relative_squared_error: 0.8735, scimark_benchmark: 1786.0563, usercpu_time_millis: 67.672, usercpu_time_millis_testing: 0.801, usercpu_time_millis_training: 66.871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5009, f_measure: 0.3813, kb_relative_information_score: -0.3261, mean_absolute_error: 0.4965, 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: 1721.0114, usercpu_time_millis: 4.831, usercpu_time_millis_testing: 0.737, usercpu_time_millis_training: 4.094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: -0.2093, 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: 1729.8836, usercpu_time_millis: 7.417, usercpu_time_millis_testing: 1.176, usercpu_time_millis_training: 6.241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, f_measure: 0.3813, kb_relative_information_score: -0.0637, 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: 1727.9064, usercpu_time_millis: 4.836, usercpu_time_millis_testing: 0.756, usercpu_time_millis_training: 4.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8745, f_measure: 0.806, kappa: 0.6087, kb_relative_information_score: 1608.2685, mean_absolute_error: 0.3008, 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: 0.606, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3778, root_relative_squared_error: 0.7582, scimark_benchmark: 1722.1558, usercpu_time_millis: 7319.9, usercpu_time_millis_testing: 5.026, usercpu_time_millis_training: 7314.874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8778, f_measure: 0.809, kappa: 0.6148, kb_relative_information_score: 1673.7354, mean_absolute_error: 0.2913, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8092, predictive_accuracy: 0.8094, prior_entropy: 0.9948, recall: 0.8094, relative_absolute_error: 0.5867, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3746, root_relative_squared_error: 0.7518, scimark_benchmark: 1713.6262, usercpu_time_millis: 7305.728, usercpu_time_millis_testing: 4.482, usercpu_time_millis_training: 7301.246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8455, f_measure: 0.7819, kappa: 0.5599, kb_relative_information_score: 1372.7448, mean_absolute_error: 0.3319, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7827, predictive_accuracy: 0.7827, prior_entropy: 0.9948, recall: 0.7827, relative_absolute_error: 0.6686, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3988, root_relative_squared_error: 0.8004, scimark_benchmark: 1775.2105, usercpu_time_millis: 3872.613, usercpu_time_millis_testing: 2.901, usercpu_time_millis_training: 3869.712,

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