OpenML
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 145677 Supervised Classification Bioresponse 9368 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8716, f_measure: 0.8016, kappa: 0.6, kb_relative_information_score: 1413.8715, mean_absolute_error: 0.3284, 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: 0.6615, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3858, root_relative_squared_error: 0.7744, scimark_benchmark: 1843.2259, usercpu_time_millis: 73.911, usercpu_time_millis_testing: 1.458, usercpu_time_millis_training: 72.453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8674, f_measure: 0.7987, kappa: 0.5941, kb_relative_information_score: 1339.5411, mean_absolute_error: 0.3383, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7987, predictive_accuracy: 0.799, prior_entropy: 0.9948, recall: 0.799, relative_absolute_error: 0.6815, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3909, root_relative_squared_error: 0.7846, scimark_benchmark: 1830.6487, usercpu_time_millis: 29.322, usercpu_time_millis_testing: 1.229, usercpu_time_millis_training: 28.093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8418, f_measure: 0.764, kappa: 0.5239, kb_relative_information_score: 957.3006, mean_absolute_error: 0.3885, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7642, predictive_accuracy: 0.7646, prior_entropy: 0.9948, recall: 0.7646, relative_absolute_error: 0.7826, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4179, root_relative_squared_error: 0.8387, scimark_benchmark: 1746.288, usercpu_time_millis: 57.249, usercpu_time_millis_testing: 4.791, usercpu_time_millis_training: 52.458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8399, f_measure: 0.7664, kappa: 0.5289, kb_relative_information_score: 1005.6651, mean_absolute_error: 0.3819, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7664, predictive_accuracy: 0.7667, prior_entropy: 0.9948, recall: 0.7667, relative_absolute_error: 0.7694, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4156, root_relative_squared_error: 0.8341, scimark_benchmark: 1760.1957, usercpu_time_millis: 47.546, usercpu_time_millis_testing: 2.69, usercpu_time_millis_training: 44.856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.824, f_measure: 0.7599, kappa: 0.5166, kb_relative_information_score: 1449.8647, mean_absolute_error: 0.3153, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.76, predictive_accuracy: 0.7598, prior_entropy: 0.9948, recall: 0.7598, relative_absolute_error: 0.6352, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4148, root_relative_squared_error: 0.8325, scimark_benchmark: 1827.342, usercpu_time_millis: 5.679, usercpu_time_millis_testing: 0.673, usercpu_time_millis_training: 5.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8534, f_measure: 0.7838, kappa: 0.5641, kb_relative_information_score: 1574.3889, mean_absolute_error: 0.3022, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7838, predictive_accuracy: 0.7841, prior_entropy: 0.9948, recall: 0.7841, relative_absolute_error: 0.6087, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3922, root_relative_squared_error: 0.7872, scimark_benchmark: 1760.2718, usercpu_time_millis: 94.112, usercpu_time_millis_testing: 0.814, usercpu_time_millis_training: 93.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8734, f_measure: 0.7992, kappa: 0.5951, kb_relative_information_score: 1300.8619, mean_absolute_error: 0.3443, 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: 0.6935, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3907, root_relative_squared_error: 0.7841, scimark_benchmark: 1763.3042, usercpu_time_millis: 22.209, usercpu_time_millis_testing: 1.62, usercpu_time_millis_training: 20.589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8461, f_measure: 0.7802, kappa: 0.5567, kb_relative_information_score: 1466.2551, mean_absolute_error: 0.3175, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7803, predictive_accuracy: 0.7806, prior_entropy: 0.9948, recall: 0.7806, relative_absolute_error: 0.6395, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.7984, scimark_benchmark: 1833.7909, usercpu_time_millis: 29.657, usercpu_time_millis_testing: 0.76, usercpu_time_millis_training: 28.897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8576, f_measure: 0.7897, kappa: 0.5758, kb_relative_information_score: 1213.382, mean_absolute_error: 0.3553, 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: 0.7157, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3999, root_relative_squared_error: 0.8027, scimark_benchmark: 1820.3526, usercpu_time_millis: 67.689, usercpu_time_millis_testing: 1.842, usercpu_time_millis_training: 65.847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.838, f_measure: 0.768, kappa: 0.532, kb_relative_information_score: 1291.2813, mean_absolute_error: 0.3414, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7683, predictive_accuracy: 0.7686, prior_entropy: 0.9948, recall: 0.7686, relative_absolute_error: 0.6877, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4056, root_relative_squared_error: 0.814, scimark_benchmark: 1842.7105, usercpu_time_millis: 7.115, usercpu_time_millis_testing: 0.674, usercpu_time_millis_training: 6.441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8464, f_measure: 0.7867, kappa: 0.5698, kb_relative_information_score: 1592.1656, mean_absolute_error: 0.2987, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7867, predictive_accuracy: 0.787, prior_entropy: 0.9948, recall: 0.787, relative_absolute_error: 0.6016, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.7976, scimark_benchmark: 1851.4874, usercpu_time_millis: 30.686, usercpu_time_millis_testing: 0.758, usercpu_time_millis_training: 29.928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8635, f_measure: 0.7872, kappa: 0.5708, kb_relative_information_score: 1123.0298, mean_absolute_error: 0.3679, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7872, predictive_accuracy: 0.7875, prior_entropy: 0.9948, recall: 0.7875, relative_absolute_error: 0.7411, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4033, root_relative_squared_error: 0.8095, scimark_benchmark: 1832.1165, usercpu_time_millis: 39.883, usercpu_time_millis_testing: 3.277, usercpu_time_millis_training: 36.606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8313, f_measure: 0.759, kappa: 0.514, kb_relative_information_score: 1284.1779, mean_absolute_error: 0.3426, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7589, predictive_accuracy: 0.7593, prior_entropy: 0.9948, recall: 0.7593, relative_absolute_error: 0.69, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4081, root_relative_squared_error: 0.8192, scimark_benchmark: 1806.7643, usercpu_time_millis: 29.418, usercpu_time_millis_testing: 0.84, usercpu_time_millis_training: 28.578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8616, f_measure: 0.7952, kappa: 0.587, kb_relative_information_score: 1450.9051, mean_absolute_error: 0.3222, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7953, predictive_accuracy: 0.7955, prior_entropy: 0.9948, recall: 0.7955, relative_absolute_error: 0.6491, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.389, root_relative_squared_error: 0.7808, scimark_benchmark: 1772.6943, usercpu_time_millis: 31.852, usercpu_time_millis_testing: 0.886, usercpu_time_millis_training: 30.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8449, f_measure: 0.7791, kappa: 0.5545, kb_relative_information_score: 1578.3226, mean_absolute_error: 0.2996, 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: 0.6035, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3998, root_relative_squared_error: 0.8026, scimark_benchmark: 1753.6936, usercpu_time_millis: 19.786, usercpu_time_millis_testing: 0.747, usercpu_time_millis_training: 19.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8686, f_measure: 0.7964, kappa: 0.5894, kb_relative_information_score: 1372.2177, mean_absolute_error: 0.3339, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7966, predictive_accuracy: 0.7969, prior_entropy: 0.9948, recall: 0.7969, relative_absolute_error: 0.6725, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3889, root_relative_squared_error: 0.7806, scimark_benchmark: 1761.3019, usercpu_time_millis: 19.16, usercpu_time_millis_testing: 1.047, usercpu_time_millis_training: 18.113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8652, f_measure: 0.7957, kappa: 0.588, kb_relative_information_score: 1281.1841, mean_absolute_error: 0.3465, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7958, predictive_accuracy: 0.7961, prior_entropy: 0.9948, recall: 0.7961, relative_absolute_error: 0.6979, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3943, root_relative_squared_error: 0.7915, scimark_benchmark: 1774.2984, usercpu_time_millis: 34.035, usercpu_time_millis_testing: 1.203, usercpu_time_millis_training: 32.832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8682, f_measure: 0.7944, kappa: 0.5853, kb_relative_information_score: 1342.5052, mean_absolute_error: 0.3377, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7945, predictive_accuracy: 0.7947, prior_entropy: 0.9948, recall: 0.7947, relative_absolute_error: 0.6803, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3906, root_relative_squared_error: 0.784, scimark_benchmark: 1848.2539, usercpu_time_millis: 17.099, usercpu_time_millis_testing: 1.206, usercpu_time_millis_training: 15.893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8532, f_measure: 0.7927, kappa: 0.5819, kb_relative_information_score: 1541.2187, 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: 0.6191, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3926, root_relative_squared_error: 0.7881, scimark_benchmark: 1812.025, usercpu_time_millis: 45.308, usercpu_time_millis_testing: 0.8, usercpu_time_millis_training: 44.508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8446, f_measure: 0.7763, kappa: 0.5489, kb_relative_information_score: 1162.165, mean_absolute_error: 0.361, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7766, predictive_accuracy: 0.7769, prior_entropy: 0.9948, recall: 0.7769, relative_absolute_error: 0.7272, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4067, root_relative_squared_error: 0.8163, scimark_benchmark: 1849.2222, usercpu_time_millis: 9.747, usercpu_time_millis_testing: 0.734, usercpu_time_millis_training: 9.013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7648, f_measure: 0.733, kappa: 0.4621, kb_relative_information_score: 1728.6808, mean_absolute_error: 0.2675, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.733, predictive_accuracy: 0.7331, prior_entropy: 0.9948, recall: 0.7331, relative_absolute_error: 0.5388, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4853, root_relative_squared_error: 0.9741, scimark_benchmark: 1743.0671, usercpu_time_millis: 13.437, usercpu_time_millis_testing: 0.689, usercpu_time_millis_training: 12.748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8065, f_measure: 0.708, kappa: 0.4115, kb_relative_information_score: 492.8493, mean_absolute_error: 0.4451, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7134, predictive_accuracy: 0.7118, prior_entropy: 0.9948, recall: 0.7118, relative_absolute_error: 0.8966, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4544, root_relative_squared_error: 0.912, scimark_benchmark: 1840.0576, usercpu_time_millis: 22.302, usercpu_time_millis_testing: 2.763, usercpu_time_millis_training: 19.539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8447, f_measure: 0.7822, kappa: 0.5607, kb_relative_information_score: 1342.3042, mean_absolute_error: 0.3362, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7824, predictive_accuracy: 0.7827, prior_entropy: 0.9948, recall: 0.7827, relative_absolute_error: 0.6772, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4002, root_relative_squared_error: 0.8034, scimark_benchmark: 1774.6701, usercpu_time_millis: 21.371, usercpu_time_millis_testing: 0.773, usercpu_time_millis_training: 20.598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.861, f_measure: 0.799, kappa: 0.5945, kb_relative_information_score: 1358.8314, mean_absolute_error: 0.3354, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7994, predictive_accuracy: 0.7995, prior_entropy: 0.9948, recall: 0.7995, relative_absolute_error: 0.6756, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3925, root_relative_squared_error: 0.7879, scimark_benchmark: 1849.8294, usercpu_time_millis: 26.252, usercpu_time_millis_testing: 0.994, usercpu_time_millis_training: 25.258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8457, f_measure: 0.7797, kappa: 0.5556, kb_relative_information_score: 1470.9606, mean_absolute_error: 0.3164, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7797, predictive_accuracy: 0.7801, prior_entropy: 0.9948, recall: 0.7801, relative_absolute_error: 0.6373, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3982, root_relative_squared_error: 0.7993, scimark_benchmark: 1855.4813, usercpu_time_millis: 29.283, usercpu_time_millis_testing: 0.764, usercpu_time_millis_training: 28.519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.854, f_measure: 0.7833, kappa: 0.563, kb_relative_information_score: 1191.4847, mean_absolute_error: 0.3577, 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: 0.7206, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4023, root_relative_squared_error: 0.8075, scimark_benchmark: 1842.1882, usercpu_time_millis: 13.835, usercpu_time_millis_testing: 0.987, usercpu_time_millis_training: 12.848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8582, f_measure: 0.7931, kappa: 0.5826, kb_relative_information_score: 1424.7608, mean_absolute_error: 0.3259, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7935, predictive_accuracy: 0.7937, prior_entropy: 0.9948, recall: 0.7937, relative_absolute_error: 0.6564, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3913, root_relative_squared_error: 0.7854, scimark_benchmark: 1757.4621, usercpu_time_millis: 80.779, usercpu_time_millis_testing: 1.131, usercpu_time_millis_training: 79.648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8687, f_measure: 0.8023, kappa: 0.6012, kb_relative_information_score: 1378.6766, mean_absolute_error: 0.3331, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8025, predictive_accuracy: 0.8027, prior_entropy: 0.9948, recall: 0.8027, relative_absolute_error: 0.6709, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3885, root_relative_squared_error: 0.7798, scimark_benchmark: 1841.1522, usercpu_time_millis: 47.254, usercpu_time_millis_testing: 1.339, usercpu_time_millis_training: 45.915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8668, f_measure: 0.8031, kappa: 0.603, kb_relative_information_score: 1322.97, mean_absolute_error: 0.3409, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8033, predictive_accuracy: 0.8035, prior_entropy: 0.9948, recall: 0.8035, relative_absolute_error: 0.6867, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3918, root_relative_squared_error: 0.7864, scimark_benchmark: 1805.9745, usercpu_time_millis: 46.051, usercpu_time_millis_testing: 1.536, usercpu_time_millis_training: 44.515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8587, f_measure: 0.7908, kappa: 0.5781, kb_relative_information_score: 1357.1133, mean_absolute_error: 0.3356, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.791, predictive_accuracy: 0.7913, prior_entropy: 0.9948, recall: 0.7913, relative_absolute_error: 0.6759, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3932, root_relative_squared_error: 0.7892, scimark_benchmark: 2092.0466, usercpu_time_millis: 51.089, usercpu_time_millis_testing: 1.009, usercpu_time_millis_training: 50.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8497, f_measure: 0.7818, kappa: 0.5601, kb_relative_information_score: 1732.6338, mean_absolute_error: 0.2766, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7817, predictive_accuracy: 0.7819, prior_entropy: 0.9948, recall: 0.7819, relative_absolute_error: 0.5572, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.7976, scimark_benchmark: 1833.1413, usercpu_time_millis: 83.912, usercpu_time_millis_testing: 0.813, usercpu_time_millis_training: 83.099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8768, f_measure: 0.808, kappa: 0.6127, kb_relative_information_score: 1489.297, mean_absolute_error: 0.318, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8081, predictive_accuracy: 0.8083, prior_entropy: 0.9948, recall: 0.8083, relative_absolute_error: 0.6406, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3806, root_relative_squared_error: 0.764, scimark_benchmark: 1854.9533, usercpu_time_millis: 73.049, usercpu_time_millis_testing: 1.312, usercpu_time_millis_training: 71.737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7818, f_measure: 0.713, kappa: 0.4293, kb_relative_information_score: 1471.1132, mean_absolute_error: 0.3035, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7221, predictive_accuracy: 0.7129, prior_entropy: 0.9948, recall: 0.7129, relative_absolute_error: 0.6114, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4553, root_relative_squared_error: 0.9139, scimark_benchmark: 1792.4011, usercpu_time_millis: 11.371, usercpu_time_millis_testing: 0.695, usercpu_time_millis_training: 10.676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8066, f_measure: 0.7386, kappa: 0.474, kb_relative_information_score: 1489.3012, mean_absolute_error: 0.3053, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7389, predictive_accuracy: 0.7385, prior_entropy: 0.9948, recall: 0.7385, relative_absolute_error: 0.6151, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4315, root_relative_squared_error: 0.866, scimark_benchmark: 1844.6576, usercpu_time_millis: 11.088, usercpu_time_millis_testing: 0.653, usercpu_time_millis_training: 10.435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.7984, kappa: 0.5934, kb_relative_information_score: 1309.2267, mean_absolute_error: 0.3427, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7985, predictive_accuracy: 0.7987, prior_entropy: 0.9948, recall: 0.7987, relative_absolute_error: 0.6903, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3923, root_relative_squared_error: 0.7874, scimark_benchmark: 1749.9829, usercpu_time_millis: 38.693, usercpu_time_millis_testing: 1.236, usercpu_time_millis_training: 37.457,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7367, f_measure: 0.6959, kappa: 0.3879, kb_relative_information_score: 540.764, mean_absolute_error: 0.4361, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7032, predictive_accuracy: 0.7009, prior_entropy: 0.9948, recall: 0.7009, relative_absolute_error: 0.8785, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4661, root_relative_squared_error: 0.9356, scimark_benchmark: 1738.8789, usercpu_time_millis: 2302.301, usercpu_time_millis_testing: 14.757, usercpu_time_millis_training: 2287.544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7125, f_measure: 0.6783, kappa: 0.3518, kb_relative_information_score: 598.3127, mean_absolute_error: 0.4266, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6828, predictive_accuracy: 0.6825, prior_entropy: 0.9948, recall: 0.6825, relative_absolute_error: 0.8592, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4732, root_relative_squared_error: 0.9498, scimark_benchmark: 1706.0335, usercpu_time_millis: 4131.171, usercpu_time_millis_testing: 15.062, usercpu_time_millis_training: 4116.109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7137, f_measure: 0.6803, kappa: 0.3558, kb_relative_information_score: 606.9407, mean_absolute_error: 0.4255, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6852, predictive_accuracy: 0.6846, prior_entropy: 0.9948, recall: 0.6846, relative_absolute_error: 0.8571, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.473, root_relative_squared_error: 0.9494, scimark_benchmark: 1841.8649, usercpu_time_millis: 3801.066, usercpu_time_millis_testing: 12.888, usercpu_time_millis_training: 3788.178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7245, f_measure: 0.6876, kappa: 0.3718, kb_relative_information_score: 525.3492, mean_absolute_error: 0.4373, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6962, predictive_accuracy: 0.6934, prior_entropy: 0.9948, recall: 0.6934, relative_absolute_error: 0.881, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4702, root_relative_squared_error: 0.9437, scimark_benchmark: 1822.5582, usercpu_time_millis: 2699.782, usercpu_time_millis_testing: 14.47, usercpu_time_millis_training: 2685.312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7331, f_measure: 0.6937, kappa: 0.3842, kb_relative_information_score: 516.378, mean_absolute_error: 0.439, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7028, predictive_accuracy: 0.6995, prior_entropy: 0.9948, recall: 0.6995, relative_absolute_error: 0.8843, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4676, root_relative_squared_error: 0.9385, scimark_benchmark: 1813.8222, usercpu_time_millis: 2332.969, usercpu_time_millis_testing: 14.918, usercpu_time_millis_training: 2318.051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7152, f_measure: 0.6791, kappa: 0.3535, kb_relative_information_score: 599.7764, mean_absolute_error: 0.4266, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6842, predictive_accuracy: 0.6836, prior_entropy: 0.9948, recall: 0.6836, relative_absolute_error: 0.8594, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4725, root_relative_squared_error: 0.9484, scimark_benchmark: 1825.6369, usercpu_time_millis: 3842.093, usercpu_time_millis_testing: 15.444, usercpu_time_millis_training: 3826.649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7255, f_measure: 0.6916, kappa: 0.3794, kb_relative_information_score: 530.8691, mean_absolute_error: 0.4368, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6993, predictive_accuracy: 0.6969, prior_entropy: 0.9948, recall: 0.6969, relative_absolute_error: 0.8798, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4695, root_relative_squared_error: 0.9424, scimark_benchmark: 1955.0349, usercpu_time_millis: 2613.839, usercpu_time_millis_testing: 13.984, usercpu_time_millis_training: 2599.855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.713, f_measure: 0.675, kappa: 0.3453, kb_relative_information_score: 609.3028, mean_absolute_error: 0.4251, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.68, predictive_accuracy: 0.6796, prior_entropy: 0.9948, recall: 0.6796, relative_absolute_error: 0.8563, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4732, root_relative_squared_error: 0.9497, scimark_benchmark: 1830.6487, usercpu_time_millis: 3866.621, usercpu_time_millis_testing: 14.331, usercpu_time_millis_training: 3852.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7251, f_measure: 0.6906, kappa: 0.3774, kb_relative_information_score: 532.25, mean_absolute_error: 0.4366, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.698, predictive_accuracy: 0.6958, prior_entropy: 0.9948, recall: 0.6958, relative_absolute_error: 0.8794, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4697, root_relative_squared_error: 0.9427, scimark_benchmark: 1743.0075, usercpu_time_millis: 2708.906, usercpu_time_millis_testing: 13.94, usercpu_time_millis_training: 2694.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.741, f_measure: 0.7007, kappa: 0.3978, kb_relative_information_score: 542.001, mean_absolute_error: 0.4362, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.709, predictive_accuracy: 0.7059, prior_entropy: 0.9948, recall: 0.7059, relative_absolute_error: 0.8786, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4651, root_relative_squared_error: 0.9335, scimark_benchmark: 1842.1882, usercpu_time_millis: 2211.534, usercpu_time_millis_testing: 15.333, usercpu_time_millis_training: 2196.201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7423, f_measure: 0.7022, kappa: 0.4005, kb_relative_information_score: 545.4251, mean_absolute_error: 0.4358, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7095, predictive_accuracy: 0.707, prior_entropy: 0.9948, recall: 0.707, relative_absolute_error: 0.8778, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4644, root_relative_squared_error: 0.9321, scimark_benchmark: 1836.2249, usercpu_time_millis: 2175.307, usercpu_time_millis_testing: 15.487, usercpu_time_millis_training: 2159.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7145, f_measure: 0.6798, kappa: 0.3547, kb_relative_information_score: 610.6597, mean_absolute_error: 0.425, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6841, predictive_accuracy: 0.6838, prior_entropy: 0.9948, recall: 0.6838, relative_absolute_error: 0.8562, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4727, root_relative_squared_error: 0.9487, scimark_benchmark: 1848.7121, usercpu_time_millis: 3798.175, usercpu_time_millis_testing: 13.703, usercpu_time_millis_training: 3784.472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7272, f_measure: 0.6931, kappa: 0.3827, kb_relative_information_score: 519.9411, mean_absolute_error: 0.4383, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7018, predictive_accuracy: 0.6987, prior_entropy: 0.9948, recall: 0.6987, relative_absolute_error: 0.8828, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4693, root_relative_squared_error: 0.9419, scimark_benchmark: 1813.4363, usercpu_time_millis: 2640.753, usercpu_time_millis_testing: 16.092, usercpu_time_millis_training: 2624.661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7197, f_measure: 0.6851, kappa: 0.3657, kb_relative_information_score: 543.5328, mean_absolute_error: 0.4347, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6908, predictive_accuracy: 0.6897, prior_entropy: 0.9948, recall: 0.6897, relative_absolute_error: 0.8756, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4712, root_relative_squared_error: 0.9457, scimark_benchmark: 1826.3575, usercpu_time_millis: 3047.947, usercpu_time_millis_testing: 15.967, usercpu_time_millis_training: 3031.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7125, f_measure: 0.6778, kappa: 0.3509, kb_relative_information_score: 597.8238, mean_absolute_error: 0.4266, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6827, predictive_accuracy: 0.6822, prior_entropy: 0.9948, recall: 0.6822, relative_absolute_error: 0.8594, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4734, root_relative_squared_error: 0.9502, scimark_benchmark: 1807.436, usercpu_time_millis: 3822.921, usercpu_time_millis_testing: 13.617, usercpu_time_millis_training: 3809.304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7246, f_measure: 0.6908, kappa: 0.3776, kb_relative_information_score: 536.0474, mean_absolute_error: 0.436, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6978, predictive_accuracy: 0.6958, prior_entropy: 0.9948, recall: 0.6958, relative_absolute_error: 0.8783, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4697, root_relative_squared_error: 0.9427, scimark_benchmark: 1701.0004, usercpu_time_millis: 3084.417, usercpu_time_millis_testing: 18.334, usercpu_time_millis_training: 3066.083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7483, f_measure: 0.7052, kappa: 0.4065, kb_relative_information_score: 572.8694, mean_absolute_error: 0.4327, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7126, predictive_accuracy: 0.7099, prior_entropy: 0.9948, recall: 0.7099, relative_absolute_error: 0.8715, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4619, root_relative_squared_error: 0.9271, scimark_benchmark: 1857.1082, usercpu_time_millis: 1790.421, usercpu_time_millis_testing: 14.102, usercpu_time_millis_training: 1776.319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7133, f_measure: 0.6778, kappa: 0.3507, kb_relative_information_score: 603.2597, mean_absolute_error: 0.426, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6822, predictive_accuracy: 0.682, prior_entropy: 0.9948, recall: 0.682, relative_absolute_error: 0.8581, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4733, root_relative_squared_error: 0.9499, scimark_benchmark: 1835.5637, usercpu_time_millis: 3842.289, usercpu_time_millis_testing: 14.025, usercpu_time_millis_training: 3828.264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7535, f_measure: 0.71, kappa: 0.4161, kb_relative_information_score: 599.0688, mean_absolute_error: 0.4296, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7171, predictive_accuracy: 0.7145, prior_entropy: 0.9948, recall: 0.7145, relative_absolute_error: 0.8654, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4593, root_relative_squared_error: 0.9219, scimark_benchmark: 1842.1399, usercpu_time_millis: 1627.021, usercpu_time_millis_testing: 14.461, usercpu_time_millis_training: 1612.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7499, f_measure: 0.7064, kappa: 0.4088, kb_relative_information_score: 575.283, mean_absolute_error: 0.4325, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7136, predictive_accuracy: 0.711, prior_entropy: 0.9948, recall: 0.711, relative_absolute_error: 0.8711, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4614, root_relative_squared_error: 0.9261, scimark_benchmark: 1741.2908, usercpu_time_millis: 2083.588, usercpu_time_millis_testing: 18.704, usercpu_time_millis_training: 2064.884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7176, f_measure: 0.6849, kappa: 0.3653, kb_relative_information_score: 554.6291, mean_absolute_error: 0.4331, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6904, predictive_accuracy: 0.6894, prior_entropy: 0.9948, recall: 0.6894, relative_absolute_error: 0.8724, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4715, root_relative_squared_error: 0.9463, scimark_benchmark: 1813.591, usercpu_time_millis: 3198.042, usercpu_time_millis_testing: 17.552, usercpu_time_millis_training: 3180.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7481, f_measure: 0.7035, kappa: 0.4034, kb_relative_information_score: 563.7925, mean_absolute_error: 0.4338, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7117, predictive_accuracy: 0.7086, prior_entropy: 0.9948, recall: 0.7086, relative_absolute_error: 0.8738, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4622, root_relative_squared_error: 0.9278, scimark_benchmark: 1798.6289, usercpu_time_millis: 2007.1, usercpu_time_millis_testing: 15.893, usercpu_time_millis_training: 1991.207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8037, f_measure: 0.7559, kappa: 0.5076, kb_relative_information_score: 1123.3247, mean_absolute_error: 0.3649, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7566, predictive_accuracy: 0.7569, prior_entropy: 0.9948, recall: 0.7569, relative_absolute_error: 0.7351, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4239, root_relative_squared_error: 0.8509, scimark_benchmark: 1858.1494, usercpu_time_millis: 1144.874, usercpu_time_millis_testing: 17.658, usercpu_time_millis_training: 1127.216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7249, f_measure: 0.6886, kappa: 0.3736, kb_relative_information_score: 520.8356, mean_absolute_error: 0.438, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6968, predictive_accuracy: 0.6942, prior_entropy: 0.9948, recall: 0.6942, relative_absolute_error: 0.8822, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4699, root_relative_squared_error: 0.9433, scimark_benchmark: 1844.9675, usercpu_time_millis: 2684.808, usercpu_time_millis_testing: 14.915, usercpu_time_millis_training: 2669.893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.754, f_measure: 0.7144, kappa: 0.4248, kb_relative_information_score: 601.6571, mean_absolute_error: 0.4294, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7207, predictive_accuracy: 0.7185, prior_entropy: 0.9948, recall: 0.7185, relative_absolute_error: 0.865, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4589, root_relative_squared_error: 0.9211, scimark_benchmark: 1846.3057, usercpu_time_millis: 1623.446, usercpu_time_millis_testing: 14.724, usercpu_time_millis_training: 1608.722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7126, f_measure: 0.6776, kappa: 0.3504, kb_relative_information_score: 605.6176, mean_absolute_error: 0.4256, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6824, predictive_accuracy: 0.682, prior_entropy: 0.9948, recall: 0.682, relative_absolute_error: 0.8573, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4732, root_relative_squared_error: 0.9498, scimark_benchmark: 1840.2451, usercpu_time_millis: 3907.422, usercpu_time_millis_testing: 14.301, usercpu_time_millis_training: 3893.121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7391, f_measure: 0.6972, kappa: 0.3908, kb_relative_information_score: 535.9297, mean_absolute_error: 0.4369, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7052, predictive_accuracy: 0.7025, prior_entropy: 0.9948, recall: 0.7025, relative_absolute_error: 0.88, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4658, root_relative_squared_error: 0.935, scimark_benchmark: 1844.7474, usercpu_time_millis: 2193.661, usercpu_time_millis_testing: 14.654, usercpu_time_millis_training: 2179.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7127, f_measure: 0.6766, kappa: 0.3484, kb_relative_information_score: 607.1875, mean_absolute_error: 0.4254, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6812, predictive_accuracy: 0.6809, prior_entropy: 0.9948, recall: 0.6809, relative_absolute_error: 0.8569, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4733, root_relative_squared_error: 0.95, scimark_benchmark: 1841.8649, usercpu_time_millis: 3827.328, usercpu_time_millis_testing: 12.863, usercpu_time_millis_training: 3814.465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.742, f_measure: 0.7026, kappa: 0.4013, kb_relative_information_score: 564.5316, mean_absolute_error: 0.4334, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7096, predictive_accuracy: 0.7073, prior_entropy: 0.9948, recall: 0.7073, relative_absolute_error: 0.873, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.464, root_relative_squared_error: 0.9313, scimark_benchmark: 1834.57, usercpu_time_millis: 2168.551, usercpu_time_millis_testing: 15.046, usercpu_time_millis_training: 2153.505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7436, f_measure: 0.7026, kappa: 0.4017, kb_relative_information_score: 550.6517, mean_absolute_error: 0.4352, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7109, predictive_accuracy: 0.7078, prior_entropy: 0.9948, recall: 0.7078, relative_absolute_error: 0.8766, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4639, root_relative_squared_error: 0.9311, scimark_benchmark: 1850.5112, usercpu_time_millis: 2018.233, usercpu_time_millis_testing: 14.409, usercpu_time_millis_training: 2003.824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7126, f_measure: 0.6764, kappa: 0.348, kb_relative_information_score: 604.1384, mean_absolute_error: 0.4258, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6814, predictive_accuracy: 0.6809, prior_entropy: 0.9948, recall: 0.6809, relative_absolute_error: 0.8576, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4732, root_relative_squared_error: 0.9499, scimark_benchmark: 1827.2523, usercpu_time_millis: 3991.091, usercpu_time_millis_testing: 16.016, usercpu_time_millis_training: 3975.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7208, f_measure: 0.686, kappa: 0.3677, kb_relative_information_score: 544.1085, mean_absolute_error: 0.4347, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6921, predictive_accuracy: 0.6907, prior_entropy: 0.9948, recall: 0.6907, relative_absolute_error: 0.8757, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4706, root_relative_squared_error: 0.9446, scimark_benchmark: 1748.3212, usercpu_time_millis: 3078.069, usercpu_time_millis_testing: 16.804, usercpu_time_millis_training: 3061.265,

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)

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