OpenML
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 145677 Supervised Classification Bioresponse 9363 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8736, f_measure: 0.8019, kappa: 0.6004, kb_relative_information_score: 1629.2297, mean_absolute_error: 0.2975, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8023, predictive_accuracy: 0.8025, prior_entropy: 0.9948, recall: 0.8025, relative_absolute_error: 0.5993, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3779, root_relative_squared_error: 0.7586, scimark_benchmark: 1723.218, usercpu_time_millis: 3383.687, usercpu_time_millis_testing: 2.777, usercpu_time_millis_training: 3380.91,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8692, f_measure: 0.8007, kappa: 0.598, kb_relative_information_score: 1571.739, mean_absolute_error: 0.3053, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8009, predictive_accuracy: 0.8011, prior_entropy: 0.9948, recall: 0.8011, relative_absolute_error: 0.6149, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3819, root_relative_squared_error: 0.7665, scimark_benchmark: 1843.6238, usercpu_time_millis: 4377.922, usercpu_time_millis_testing: 4.003, usercpu_time_millis_training: 4373.919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8629, f_measure: 0.7945, kappa: 0.5854, kb_relative_information_score: 1528.526, mean_absolute_error: 0.3108, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7948, predictive_accuracy: 0.795, prior_entropy: 0.9948, recall: 0.795, relative_absolute_error: 0.6262, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3864, root_relative_squared_error: 0.7756, scimark_benchmark: 1716.7675, usercpu_time_millis: 7094.128, usercpu_time_millis_testing: 5.08, usercpu_time_millis_training: 7089.048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8589, f_measure: 0.7916, kappa: 0.5797, kb_relative_information_score: 1342.3377, mean_absolute_error: 0.3374, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7918, predictive_accuracy: 0.7921, prior_entropy: 0.9948, recall: 0.7921, relative_absolute_error: 0.6797, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3939, root_relative_squared_error: 0.7906, scimark_benchmark: 1730.591, usercpu_time_millis: 976.347, usercpu_time_millis_testing: 3.064, usercpu_time_millis_training: 973.283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8512, f_measure: 0.7845, kappa: 0.5653, kb_relative_information_score: 1163.6342, mean_absolute_error: 0.3615, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7846, predictive_accuracy: 0.7849, prior_entropy: 0.9948, recall: 0.7849, relative_absolute_error: 0.7282, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4045, root_relative_squared_error: 0.812, scimark_benchmark: 1738.7316, usercpu_time_millis: 312.128, usercpu_time_millis_testing: 3.178, usercpu_time_millis_training: 308.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8253, f_measure: 0.7579, kappa: 0.5115, kb_relative_information_score: 1012.4647, mean_absolute_error: 0.3819, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7601, predictive_accuracy: 0.7595, prior_entropy: 0.9948, recall: 0.7595, relative_absolute_error: 0.7693, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4182, root_relative_squared_error: 0.8395, scimark_benchmark: 1737.5279, usercpu_time_millis: 189.493, usercpu_time_millis_testing: 1.428, usercpu_time_millis_training: 188.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8714, f_measure: 0.8004, kappa: 0.5974, kb_relative_information_score: 1677.5079, mean_absolute_error: 0.2896, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8007, predictive_accuracy: 0.8009, prior_entropy: 0.9948, recall: 0.8009, relative_absolute_error: 0.5834, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.7608, scimark_benchmark: 1176.7141, usercpu_time_millis: 25812.851, usercpu_time_millis_testing: 6.054, usercpu_time_millis_training: 25806.797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8685, f_measure: 0.7985, kappa: 0.5935, kb_relative_information_score: 1590.8128, mean_absolute_error: 0.3025, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7988, predictive_accuracy: 0.799, prior_entropy: 0.9948, recall: 0.799, relative_absolute_error: 0.6094, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3818, root_relative_squared_error: 0.7664, scimark_benchmark: 1729.728, usercpu_time_millis: 10006.439, usercpu_time_millis_testing: 3.906, usercpu_time_millis_training: 10002.533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8512, f_measure: 0.7818, kappa: 0.5597, kb_relative_information_score: 1432.2562, mean_absolute_error: 0.3238, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7823, predictive_accuracy: 0.7825, prior_entropy: 0.9948, recall: 0.7825, relative_absolute_error: 0.6523, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3946, root_relative_squared_error: 0.7921, scimark_benchmark: 2019.9134, usercpu_time_millis: 3977.305, usercpu_time_millis_testing: 2.543, usercpu_time_millis_training: 3974.762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8749, f_measure: 0.8057, kappa: 0.6081, kb_relative_information_score: 1669.6244, mean_absolute_error: 0.2916, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.806, predictive_accuracy: 0.8062, prior_entropy: 0.9948, recall: 0.8062, relative_absolute_error: 0.5873, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3764, root_relative_squared_error: 0.7556, scimark_benchmark: 1731.0556, usercpu_time_millis: 9251.058, usercpu_time_millis_testing: 3.863, usercpu_time_millis_training: 9247.195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8681, f_measure: 0.7986, kappa: 0.5938, kb_relative_information_score: 1548.8712, mean_absolute_error: 0.3086, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7988, predictive_accuracy: 0.799, prior_entropy: 0.9948, recall: 0.799, relative_absolute_error: 0.6216, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.383, root_relative_squared_error: 0.7688, scimark_benchmark: 1747.5709, usercpu_time_millis: 10042.938, usercpu_time_millis_testing: 5.331, usercpu_time_millis_training: 10037.607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8446, f_measure: 0.7775, kappa: 0.5511, kb_relative_information_score: 1308.6036, mean_absolute_error: 0.3411, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.778, predictive_accuracy: 0.7782, prior_entropy: 0.9948, recall: 0.7782, relative_absolute_error: 0.6871, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4007, root_relative_squared_error: 0.8043, scimark_benchmark: 1731.9625, usercpu_time_millis: 686.108, usercpu_time_millis_testing: 2.318, usercpu_time_millis_training: 683.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8338, f_measure: 0.7697, kappa: 0.5354, kb_relative_information_score: 1276.4292, mean_absolute_error: 0.3448, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7698, predictive_accuracy: 0.7702, prior_entropy: 0.9948, recall: 0.7702, relative_absolute_error: 0.6946, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4065, root_relative_squared_error: 0.8159, scimark_benchmark: 1846.985, usercpu_time_millis: 532.847, usercpu_time_millis_testing: 1.889, usercpu_time_millis_training: 530.958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8731, f_measure: 0.8031, kappa: 0.6027, kb_relative_information_score: 1625.675, mean_absolute_error: 0.2979, 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: 0.6001, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3784, root_relative_squared_error: 0.7595, scimark_benchmark: 1727.4447, usercpu_time_millis: 639.583, usercpu_time_millis_testing: 1.088, usercpu_time_millis_training: 638.495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8252, f_measure: 0.7507, kappa: 0.4972, kb_relative_information_score: 1218.8466, mean_absolute_error: 0.3534, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7547, predictive_accuracy: 0.7531, prior_entropy: 0.9948, recall: 0.7531, relative_absolute_error: 0.712, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4134, root_relative_squared_error: 0.8298, scimark_benchmark: 1729.2809, usercpu_time_millis: 774.176, usercpu_time_millis_testing: 1.381, usercpu_time_millis_training: 772.795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8412, f_measure: 0.7682, kappa: 0.5322, kb_relative_information_score: 1360.7853, mean_absolute_error: 0.3325, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7703, predictive_accuracy: 0.7697, prior_entropy: 0.9948, recall: 0.7697, relative_absolute_error: 0.6697, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4022, root_relative_squared_error: 0.8072, scimark_benchmark: 1760.4199, usercpu_time_millis: 415.232, usercpu_time_millis_testing: 0.722, usercpu_time_millis_training: 414.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8593, f_measure: 0.7894, kappa: 0.5752, kb_relative_information_score: 1439.0842, mean_absolute_error: 0.324, 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: 0.6527, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3901, root_relative_squared_error: 0.7831, scimark_benchmark: 1715.9684, usercpu_time_millis: 254.218, usercpu_time_millis_testing: 1.392, usercpu_time_millis_training: 252.826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8791, f_measure: 0.8082, kappa: 0.6133, kb_relative_information_score: 1652.5709, mean_absolute_error: 0.2945, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8084, predictive_accuracy: 0.8086, prior_entropy: 0.9948, recall: 0.8086, relative_absolute_error: 0.5933, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.7512, scimark_benchmark: 1716.1466, usercpu_time_millis: 1737.425, usercpu_time_millis_testing: 2.865, usercpu_time_millis_training: 1734.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8571, f_measure: 0.7924, kappa: 0.5812, kb_relative_information_score: 1450.0514, mean_absolute_error: 0.3221, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7926, predictive_accuracy: 0.7929, prior_entropy: 0.9948, recall: 0.7929, relative_absolute_error: 0.6488, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.391, root_relative_squared_error: 0.7849, scimark_benchmark: 1902.629, usercpu_time_millis: 632.519, usercpu_time_millis_testing: 1.403, usercpu_time_millis_training: 631.116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8614, f_measure: 0.7939, kappa: 0.5844, kb_relative_information_score: 1483.8922, mean_absolute_error: 0.3175, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7939, predictive_accuracy: 0.7942, prior_entropy: 0.9948, recall: 0.7942, relative_absolute_error: 0.6395, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3881, root_relative_squared_error: 0.7789, scimark_benchmark: 1887.3987, usercpu_time_millis: 1380.279, usercpu_time_millis_testing: 1.594, usercpu_time_millis_training: 1378.685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3813, kb_relative_information_score: -0.1174, 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: 1857.6392, usercpu_time_millis: 8.612, usercpu_time_millis_testing: 1.38, usercpu_time_millis_training: 7.232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: 0.0854, 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: 1855.0232, usercpu_time_millis: 10.024, usercpu_time_millis_testing: 1.579, usercpu_time_millis_training: 8.445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.804, f_measure: 0.7295, kappa: 0.4543, kb_relative_information_score: 687.3126, mean_absolute_error: 0.4221, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7296, predictive_accuracy: 0.7302, prior_entropy: 0.9948, recall: 0.7302, relative_absolute_error: 0.8502, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4407, root_relative_squared_error: 0.8845, scimark_benchmark: 2144.0013, usercpu_time_millis: 34.251, usercpu_time_millis_testing: 1.293, usercpu_time_millis_training: 32.958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8693, f_measure: 0.8003, kappa: 0.5972, kb_relative_information_score: 1387.8096, mean_absolute_error: 0.3318, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8004, predictive_accuracy: 0.8006, prior_entropy: 0.9948, recall: 0.8006, relative_absolute_error: 0.6684, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3879, root_relative_squared_error: 0.7786, scimark_benchmark: 1853.9121, usercpu_time_millis: 96.11, usercpu_time_millis_testing: 1.365, usercpu_time_millis_training: 94.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7732, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 864.5118, mean_absolute_error: 0.4011, 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: 0.8081, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4384, root_relative_squared_error: 0.88, scimark_benchmark: 1853.9849, usercpu_time_millis: 132.453, usercpu_time_millis_testing: 0.928, usercpu_time_millis_training: 131.525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7896, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 863.8548, mean_absolute_error: 0.4013, 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: 0.8083, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4362, root_relative_squared_error: 0.8755, scimark_benchmark: 1848.6795, usercpu_time_millis: 134.064, usercpu_time_millis_testing: 0.991, usercpu_time_millis_training: 133.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8704, f_measure: 0.7994, kappa: 0.5953, kb_relative_information_score: 1650.1703, mean_absolute_error: 0.2936, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7996, predictive_accuracy: 0.7998, prior_entropy: 0.9948, recall: 0.7998, relative_absolute_error: 0.5914, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3799, root_relative_squared_error: 0.7626, scimark_benchmark: 1852.4707, usercpu_time_millis: 7038.204, usercpu_time_millis_testing: 2.949, usercpu_time_millis_training: 7035.255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8781, f_measure: 0.8096, kappa: 0.6159, kb_relative_information_score: 1659.5325, mean_absolute_error: 0.2935, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8097, predictive_accuracy: 0.8099, prior_entropy: 0.9948, recall: 0.8099, relative_absolute_error: 0.5913, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3746, root_relative_squared_error: 0.7518, scimark_benchmark: 1847.3406, usercpu_time_millis: 4871.825, usercpu_time_millis_testing: 3.796, usercpu_time_millis_training: 4868.029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8675, f_measure: 0.7959, kappa: 0.5882, kb_relative_information_score: 1570.0277, mean_absolute_error: 0.3055, 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: 0.6154, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3827, root_relative_squared_error: 0.7682, scimark_benchmark: 1891.3278, usercpu_time_millis: 9934.809, usercpu_time_millis_testing: 4.547, usercpu_time_millis_training: 9930.262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8634, f_measure: 0.7953, kappa: 0.5871, kb_relative_information_score: 1560.3389, mean_absolute_error: 0.3059, 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: 0.6162, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3858, root_relative_squared_error: 0.7743, scimark_benchmark: 1818.9456, usercpu_time_millis: 7075.541, usercpu_time_millis_testing: 3.377, usercpu_time_millis_training: 7072.164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8656, f_measure: 0.7945, kappa: 0.5855, kb_relative_information_score: 1544.7939, mean_absolute_error: 0.3089, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7948, predictive_accuracy: 0.795, prior_entropy: 0.9948, recall: 0.795, relative_absolute_error: 0.6223, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3844, root_relative_squared_error: 0.7716, scimark_benchmark: 1826.2487, usercpu_time_millis: 8162.904, usercpu_time_millis_testing: 3.46, usercpu_time_millis_training: 8159.444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8753, f_measure: 0.8081, kappa: 0.613, kb_relative_information_score: 1683.4672, mean_absolute_error: 0.2893, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8085, predictive_accuracy: 0.8086, prior_entropy: 0.9948, recall: 0.8086, relative_absolute_error: 0.5828, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3763, root_relative_squared_error: 0.7553, scimark_benchmark: 1814.573, usercpu_time_millis: 8608.339, usercpu_time_millis_testing: 2.685, usercpu_time_millis_training: 8605.654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8763, f_measure: 0.8082, kappa: 0.6131, kb_relative_information_score: 1684.097, mean_absolute_error: 0.2895, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8084, predictive_accuracy: 0.8086, prior_entropy: 0.9948, recall: 0.8086, relative_absolute_error: 0.5831, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3754, root_relative_squared_error: 0.7535, scimark_benchmark: 1843.7091, usercpu_time_millis: 7490.164, usercpu_time_millis_testing: 2.894, usercpu_time_millis_training: 7487.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: 0.0373, 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: 1869.766, usercpu_time_millis: 6.74, usercpu_time_millis_testing: 1.156, usercpu_time_millis_training: 5.584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7966, f_measure: 0.7358, kappa: 0.4685, kb_relative_information_score: 821.2446, mean_absolute_error: 0.4066, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7363, predictive_accuracy: 0.7355, prior_entropy: 0.9948, recall: 0.7355, relative_absolute_error: 0.8191, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4349, root_relative_squared_error: 0.8729, scimark_benchmark: 1819.1565, usercpu_time_millis: 56.541, usercpu_time_millis_testing: 0.822, usercpu_time_millis_training: 55.719,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8746, f_measure: 0.8057, kappa: 0.6081, kb_relative_information_score: 1561.872, mean_absolute_error: 0.3077, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8061, predictive_accuracy: 0.8062, prior_entropy: 0.9948, recall: 0.8062, relative_absolute_error: 0.6198, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.379, root_relative_squared_error: 0.7607, scimark_benchmark: 1852.9259, usercpu_time_millis: 1958.741, usercpu_time_millis_testing: 2.955, usercpu_time_millis_training: 1955.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8682, f_measure: 0.7982, kappa: 0.593, kb_relative_information_score: 1553.5814, mean_absolute_error: 0.3083, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7986, predictive_accuracy: 0.7987, prior_entropy: 0.9948, recall: 0.7987, relative_absolute_error: 0.6209, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3826, root_relative_squared_error: 0.7678, scimark_benchmark: 1815.141, usercpu_time_millis: 2548.896, usercpu_time_millis_testing: 2.442, usercpu_time_millis_training: 2546.454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8718, f_measure: 0.8001, kappa: 0.5967, kb_relative_information_score: 1584.3648, mean_absolute_error: 0.304, 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: 0.6123, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.38, root_relative_squared_error: 0.7627, scimark_benchmark: 1853.454, usercpu_time_millis: 2592.494, usercpu_time_millis_testing: 2.46, usercpu_time_millis_training: 2590.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: 0.0428, 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: 1781.6367, usercpu_time_millis: 8.486, usercpu_time_millis_testing: 1.349, usercpu_time_millis_training: 7.137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8754, f_measure: 0.8071, kappa: 0.611, kb_relative_information_score: 1522.7769, mean_absolute_error: 0.3133, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8073, predictive_accuracy: 0.8075, prior_entropy: 0.9948, recall: 0.8075, relative_absolute_error: 0.6311, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.38, root_relative_squared_error: 0.7627, scimark_benchmark: 1857.6942, usercpu_time_millis: 259.484, usercpu_time_millis_testing: 1.481, usercpu_time_millis_training: 258.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8407, f_measure: 0.7752, kappa: 0.5464, kb_relative_information_score: 1260.3598, mean_absolute_error: 0.3476, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7755, predictive_accuracy: 0.7758, prior_entropy: 0.9948, recall: 0.7758, relative_absolute_error: 0.7002, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4038, root_relative_squared_error: 0.8106, scimark_benchmark: 1896.5155, usercpu_time_millis: 339.473, usercpu_time_millis_testing: 1.574, usercpu_time_millis_training: 337.899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8252, f_measure: 0.7595, kappa: 0.5148, kb_relative_information_score: 1175.051, mean_absolute_error: 0.3598, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7624, predictive_accuracy: 0.7614, prior_entropy: 0.9948, recall: 0.7614, relative_absolute_error: 0.7248, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4134, root_relative_squared_error: 0.8298, scimark_benchmark: 1848.2024, usercpu_time_millis: 835.989, usercpu_time_millis_testing: 1.708, usercpu_time_millis_training: 834.281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8556, f_measure: 0.7899, kappa: 0.5761, kb_relative_information_score: 1394.0073, mean_absolute_error: 0.3297, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7903, predictive_accuracy: 0.7905, prior_entropy: 0.9948, recall: 0.7905, relative_absolute_error: 0.6641, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3935, root_relative_squared_error: 0.7898, scimark_benchmark: 1716.7741, usercpu_time_millis: 1012.315, usercpu_time_millis_testing: 1.763, usercpu_time_millis_training: 1010.552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8522, f_measure: 0.785, kappa: 0.5663, kb_relative_information_score: 1409.4446, mean_absolute_error: 0.3272, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7855, predictive_accuracy: 0.7857, prior_entropy: 0.9948, recall: 0.7857, relative_absolute_error: 0.6591, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3946, root_relative_squared_error: 0.7921, scimark_benchmark: 1850.2875, usercpu_time_millis: 1033.957, usercpu_time_millis_testing: 1.461, usercpu_time_millis_training: 1032.496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8304, f_measure: 0.7585, kappa: 0.5128, kb_relative_information_score: 1253.6474, mean_absolute_error: 0.3484, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7611, predictive_accuracy: 0.7603, prior_entropy: 0.9948, recall: 0.7603, relative_absolute_error: 0.7018, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4093, root_relative_squared_error: 0.8215, scimark_benchmark: 1840.1791, usercpu_time_millis: 1658.396, usercpu_time_millis_testing: 1.892, usercpu_time_millis_training: 1656.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3813, kb_relative_information_score: -0.0049, 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: 1835.6067, usercpu_time_millis: 4.729, usercpu_time_millis_testing: 0.721, usercpu_time_millis_training: 4.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7741, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 912.6667, mean_absolute_error: 0.395, 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: 0.7956, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4382, root_relative_squared_error: 0.8794, scimark_benchmark: 1850.2875, usercpu_time_millis: 342.838, usercpu_time_millis_testing: 1.455, usercpu_time_millis_training: 341.383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8564, f_measure: 0.791, kappa: 0.5785, kb_relative_information_score: 1416.2155, mean_absolute_error: 0.3269, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7913, predictive_accuracy: 0.7915, prior_entropy: 0.9948, recall: 0.7915, relative_absolute_error: 0.6585, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3923, root_relative_squared_error: 0.7874, scimark_benchmark: 1886.8362, usercpu_time_millis: 580.182, usercpu_time_millis_testing: 1.74, usercpu_time_millis_training: 578.442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8296, f_measure: 0.7631, kappa: 0.5218, kb_relative_information_score: 1094.3716, mean_absolute_error: 0.371, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7645, predictive_accuracy: 0.7643, prior_entropy: 0.9948, recall: 0.7643, relative_absolute_error: 0.7474, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4133, root_relative_squared_error: 0.8296, scimark_benchmark: 1784.5762, usercpu_time_millis: 619.628, usercpu_time_millis_testing: 2.306, usercpu_time_millis_training: 617.322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8337, f_measure: 0.7677, kappa: 0.5313, kb_relative_information_score: 1253.4305, mean_absolute_error: 0.348, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.768, predictive_accuracy: 0.7683, prior_entropy: 0.9948, recall: 0.7683, relative_absolute_error: 0.701, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4071, root_relative_squared_error: 0.8171, scimark_benchmark: 1852.9259, usercpu_time_millis: 809.888, usercpu_time_millis_testing: 2.415, usercpu_time_millis_training: 807.473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.0951, 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: 1767.6973, usercpu_time_millis: 7.38, usercpu_time_millis_testing: 1.149, usercpu_time_millis_training: 6.231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.74, f_measure: 0.4867, kappa: 0.1134, kb_relative_information_score: 124.3664, mean_absolute_error: 0.4844, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7215, predictive_accuracy: 0.5897, prior_entropy: 0.9948, recall: 0.5897, relative_absolute_error: 0.9758, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4869, root_relative_squared_error: 0.9773, scimark_benchmark: 1878.0378, usercpu_time_millis: 13.045, usercpu_time_millis_testing: 2.155, usercpu_time_millis_training: 10.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8261, f_measure: 0.7576, kappa: 0.5109, kb_relative_information_score: 995.2545, mean_absolute_error: 0.3839, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7592, predictive_accuracy: 0.759, prior_entropy: 0.9948, recall: 0.759, relative_absolute_error: 0.7734, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4189, root_relative_squared_error: 0.8408, scimark_benchmark: 1784.5762, usercpu_time_millis: 44.242, usercpu_time_millis_testing: 0.849, usercpu_time_millis_training: 43.393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8239, f_measure: 0.7585, kappa: 0.5128, kb_relative_information_score: 1051.8453, mean_absolute_error: 0.3764, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7593, predictive_accuracy: 0.7595, prior_entropy: 0.9948, recall: 0.7595, relative_absolute_error: 0.7582, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4169, root_relative_squared_error: 0.8369, scimark_benchmark: 1898.2003, usercpu_time_millis: 64.688, usercpu_time_millis_testing: 0.915, usercpu_time_millis_training: 63.773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.848, f_measure: 0.7823, kappa: 0.5607, kb_relative_information_score: 1344.5373, mean_absolute_error: 0.3362, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7829, predictive_accuracy: 0.783, prior_entropy: 0.9948, recall: 0.783, relative_absolute_error: 0.6773, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3983, root_relative_squared_error: 0.7995, scimark_benchmark: 1849.7595, usercpu_time_millis: 158.826, usercpu_time_millis_testing: 0.979, usercpu_time_millis_training: 157.847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8757, f_measure: 0.8071, kappa: 0.6109, kb_relative_information_score: 1471.8097, mean_absolute_error: 0.3208, 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: 0.6461, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3816, root_relative_squared_error: 0.766, scimark_benchmark: 1853.5846, usercpu_time_millis: 945.055, usercpu_time_millis_testing: 4.175, usercpu_time_millis_training: 940.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8692, f_measure: 0.7977, kappa: 0.5919, kb_relative_information_score: 1611.2037, mean_absolute_error: 0.2995, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.798, predictive_accuracy: 0.7982, prior_entropy: 0.9948, recall: 0.7982, relative_absolute_error: 0.6034, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.381, root_relative_squared_error: 0.7648, scimark_benchmark: 1841.1108, usercpu_time_millis: 8434.245, usercpu_time_millis_testing: 3.644, usercpu_time_millis_training: 8430.601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8738, f_measure: 0.8046, kappa: 0.6058, kb_relative_information_score: 1648.1393, mean_absolute_error: 0.2946, 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: 0.5934, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3776, root_relative_squared_error: 0.758, scimark_benchmark: 1844.7258, usercpu_time_millis: 8388.857, usercpu_time_millis_testing: 5.356, usercpu_time_millis_training: 8383.501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8255, f_measure: 0.752, kappa: 0.4998, kb_relative_information_score: 1269.2456, mean_absolute_error: 0.3458, 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: 0.6966, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4117, root_relative_squared_error: 0.8264, scimark_benchmark: 1831.5961, usercpu_time_millis: 2014.814, usercpu_time_millis_testing: 1.968, usercpu_time_millis_training: 2012.846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8498, f_measure: 0.7836, kappa: 0.5633, kb_relative_information_score: 1393.8425, mean_absolute_error: 0.3293, 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: 0.6634, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3961, root_relative_squared_error: 0.7951, scimark_benchmark: 1759.41, usercpu_time_millis: 2197.874, usercpu_time_millis_testing: 2.812, usercpu_time_millis_training: 2195.062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8737, f_measure: 0.8041, kappa: 0.6049, kb_relative_information_score: 1657.1107, mean_absolute_error: 0.2932, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8044, predictive_accuracy: 0.8046, prior_entropy: 0.9948, recall: 0.8046, relative_absolute_error: 0.5906, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3775, root_relative_squared_error: 0.7577, scimark_benchmark: 1729.5057, usercpu_time_millis: 3135.952, usercpu_time_millis_testing: 1.896, usercpu_time_millis_training: 3134.056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8625, f_measure: 0.7937, kappa: 0.5838, kb_relative_information_score: 1502.7162, mean_absolute_error: 0.3152, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.794, predictive_accuracy: 0.7942, prior_entropy: 0.9948, recall: 0.7942, relative_absolute_error: 0.6349, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3868, root_relative_squared_error: 0.7763, scimark_benchmark: 1850.2875, usercpu_time_millis: 2748.319, usercpu_time_millis_testing: 2.736, usercpu_time_millis_training: 2745.583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8635, f_measure: 0.7964, kappa: 0.5892, kb_relative_information_score: 1528.9337, mean_absolute_error: 0.3114, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7967, predictive_accuracy: 0.7969, prior_entropy: 0.9948, recall: 0.7969, relative_absolute_error: 0.6272, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3857, root_relative_squared_error: 0.7742, scimark_benchmark: 1893.4396, usercpu_time_millis: 2838.862, usercpu_time_millis_testing: 2.452, usercpu_time_millis_training: 2836.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8785, f_measure: 0.8065, kappa: 0.6099, kb_relative_information_score: 1771.8527, mean_absolute_error: 0.2759, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8065, predictive_accuracy: 0.8067, prior_entropy: 0.9948, recall: 0.8067, relative_absolute_error: 0.5557, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3735, root_relative_squared_error: 0.7498, scimark_benchmark: 1849.7595, usercpu_time_millis: 3133.148, usercpu_time_millis_testing: 4.036, usercpu_time_millis_training: 3129.112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.873, f_measure: 0.8058, kappa: 0.6082, kb_relative_information_score: 1595.9836, mean_absolute_error: 0.3025, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.806, predictive_accuracy: 0.8062, prior_entropy: 0.9948, recall: 0.8062, relative_absolute_error: 0.6093, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3789, root_relative_squared_error: 0.7606, scimark_benchmark: 1835.6067, usercpu_time_millis: 3328.864, usercpu_time_millis_testing: 3.124, usercpu_time_millis_training: 3325.74,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8762, f_measure: 0.8046, kappa: 0.606, kb_relative_information_score: 1772.3348, mean_absolute_error: 0.2756, 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: 0.5553, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3751, root_relative_squared_error: 0.7528, scimark_benchmark: 1850.8036, usercpu_time_millis: 4247.387, usercpu_time_millis_testing: 2.272, usercpu_time_millis_training: 4245.115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7922, f_measure: 0.7196, kappa: 0.4342, kb_relative_information_score: 577.6538, mean_absolute_error: 0.4352, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7197, predictive_accuracy: 0.7203, prior_entropy: 0.9948, recall: 0.7203, relative_absolute_error: 0.8766, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4493, root_relative_squared_error: 0.9019, scimark_benchmark: 1829.7478, usercpu_time_millis: 60.402, usercpu_time_millis_testing: 1.733, usercpu_time_millis_training: 58.669,

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