Task
Supervised Classification on gina_prior

Supervised Classification on gina_prior

Task 4600 Supervised Classification gina_prior 123 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8801, f_measure: 0.8835, kappa: 0.767, kb_relative_information_score: 25529.8589, mean_absolute_error: 0.1373, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.8836, predictive_accuracy: 0.8835, prior_entropy: 0.9998, recall: 0.8835, relative_absolute_error: 0.2747, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3293, root_relative_squared_error: 0.6587, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9065, f_measure: 0.8335, kappa: 0.667, kb_relative_information_score: 14708.3838, mean_absolute_error: 0.3106, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.8337, predictive_accuracy: 0.8335, prior_entropy: 0.9998, recall: 0.8335, relative_absolute_error: 0.6214, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3623, root_relative_squared_error: 0.7247, scimark_benchmark: 972.587, usercpu_time_millis: 20300, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.838, kappa: 0.6762, kb_relative_information_score: 19295.4553, mean_absolute_error: 0.2364, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.8387, predictive_accuracy: 0.838, prior_entropy: 0.9998, recall: 0.838, relative_absolute_error: 0.4729, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3441, root_relative_squared_error: 0.6884, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8801, f_measure: 0.8835, kappa: 0.767, kb_relative_information_score: 25529.8589, mean_absolute_error: 0.1373, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.8836, predictive_accuracy: 0.8835, prior_entropy: 0.9998, recall: 0.8835, relative_absolute_error: 0.2747, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3293, root_relative_squared_error: 0.6587, scimark_benchmark: 942.2392, usercpu_time_millis: 3060, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 2980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9065, f_measure: 0.8335, kappa: 0.667, kb_relative_information_score: 14708.3838, mean_absolute_error: 0.3106, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.8337, predictive_accuracy: 0.8335, prior_entropy: 0.9998, recall: 0.8335, relative_absolute_error: 0.6214, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3623, root_relative_squared_error: 0.7247, scimark_benchmark: 908.9569, usercpu_time_millis: 18610, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 18600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.838, kappa: 0.6762, kb_relative_information_score: 19295.4553, mean_absolute_error: 0.2364, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.8387, predictive_accuracy: 0.838, prior_entropy: 0.9998, recall: 0.838, relative_absolute_error: 0.4729, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3441, root_relative_squared_error: 0.6884, scimark_benchmark: 940.1541, usercpu_time_millis: 39310, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 39300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9533, kappa: 0.9066, kb_relative_information_score: 26592.1984, mean_absolute_error: 0.1331, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 0.9998, recall: 0.9533, relative_absolute_error: 0.2663, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.209, root_relative_squared_error: 0.418, scimark_benchmark: 940.1221, usercpu_time_millis: 2320800, usercpu_time_millis_testing: 708350, usercpu_time_millis_training: 1612450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9514, kappa: 0.9027, kb_relative_information_score: 26559.8165, mean_absolute_error: 0.1333, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.9515, predictive_accuracy: 0.9514, prior_entropy: 0.9998, recall: 0.9514, relative_absolute_error: 0.2667, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.4216, scimark_benchmark: 974.2014, usercpu_time_millis: 1447950, usercpu_time_millis_testing: 515360, usercpu_time_millis_training: 932590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9516, kappa: 0.9033, kb_relative_information_score: 26519.8123, mean_absolute_error: 0.1336, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.9518, predictive_accuracy: 0.9516, prior_entropy: 0.9998, recall: 0.9516, relative_absolute_error: 0.2672, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.213, root_relative_squared_error: 0.4261, scimark_benchmark: 936.2574, usercpu_time_millis: 577490, usercpu_time_millis_testing: 195590, usercpu_time_millis_training: 381900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9461, kappa: 0.8922, kb_relative_information_score: 26421.0661, mean_absolute_error: 0.134, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.9463, predictive_accuracy: 0.9461, prior_entropy: 0.9998, recall: 0.9461, relative_absolute_error: 0.2681, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2185, root_relative_squared_error: 0.4371, scimark_benchmark: 939.682, usercpu_time_millis: 282900, usercpu_time_millis_testing: 96550, usercpu_time_millis_training: 186350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9393, kappa: 0.8785, kb_relative_information_score: 26341.4332, mean_absolute_error: 0.1335, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.9394, predictive_accuracy: 0.9393, prior_entropy: 0.9998, recall: 0.9393, relative_absolute_error: 0.2671, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2272, root_relative_squared_error: 0.4544, scimark_benchmark: 931.6751, usercpu_time_millis: 149590, usercpu_time_millis_testing: 48570, usercpu_time_millis_training: 101020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9066, f_measure: 0.8295, kappa: 0.6588, kb_relative_information_score: 19832.2929, mean_absolute_error: 0.2245, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.8297, predictive_accuracy: 0.8295, prior_entropy: 0.9998, recall: 0.8295, relative_absolute_error: 0.449, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3507, root_relative_squared_error: 0.7016, scimark_benchmark: 941.9549, usercpu_time_millis: 8170, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 8160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9066, f_measure: 0.8295, kappa: 0.6588, kb_relative_information_score: 19832.2929, mean_absolute_error: 0.2245, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.8297, predictive_accuracy: 0.8295, prior_entropy: 0.9998, recall: 0.8295, relative_absolute_error: 0.449, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3507, root_relative_squared_error: 0.7016, scimark_benchmark: 929.0296, usercpu_time_millis: 8530, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 8520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9066, f_measure: 0.8295, kappa: 0.6588, kb_relative_information_score: 19832.2929, mean_absolute_error: 0.2245, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.8297, predictive_accuracy: 0.8295, prior_entropy: 0.9998, recall: 0.8295, relative_absolute_error: 0.449, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3507, root_relative_squared_error: 0.7016, scimark_benchmark: 929.0296, usercpu_time_millis: 8640, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 8630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9059, f_measure: 0.8286, kappa: 0.6571, kb_relative_information_score: 19765.8356, mean_absolute_error: 0.2255, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.8288, predictive_accuracy: 0.8287, prior_entropy: 0.9998, recall: 0.8287, relative_absolute_error: 0.4511, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3513, root_relative_squared_error: 0.7027, scimark_benchmark: 929.0296, usercpu_time_millis: 8450, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 8440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8929, f_measure: 0.8174, kappa: 0.6346, kb_relative_information_score: 18405.9813, mean_absolute_error: 0.2466, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.8175, predictive_accuracy: 0.8174, prior_entropy: 0.9998, recall: 0.8174, relative_absolute_error: 0.4934, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.7256, scimark_benchmark: 936.1714, usercpu_time_millis: 5320, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 5310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8428, f_measure: 0.779, kappa: 0.558, kb_relative_information_score: 14245.6712, mean_absolute_error: 0.3103, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.7802, predictive_accuracy: 0.7793, prior_entropy: 0.9998, recall: 0.7793, relative_absolute_error: 0.6207, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4005, root_relative_squared_error: 0.8011, scimark_benchmark: 929.0296, usercpu_time_millis: 1630, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9226, f_measure: 0.8457, kappa: 0.6912, kb_relative_information_score: 23542.5659, mean_absolute_error: 0.1621, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.8461, predictive_accuracy: 0.8458, prior_entropy: 0.9998, recall: 0.8458, relative_absolute_error: 0.3242, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.7235, scimark_benchmark: 936.7286, usercpu_time_millis: 84090, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 84060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.835, kappa: 0.6701, kb_relative_information_score: 22796.1835, mean_absolute_error: 0.1729, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.836, predictive_accuracy: 0.8352, prior_entropy: 0.9998, recall: 0.8352, relative_absolute_error: 0.346, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3727, root_relative_squared_error: 0.7455, scimark_benchmark: 936.1714, usercpu_time_millis: 42880, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 42860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8972, f_measure: 0.812, kappa: 0.6243, kb_relative_information_score: 21306.3434, mean_absolute_error: 0.1943, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.8145, predictive_accuracy: 0.8125, prior_entropy: 0.9998, recall: 0.8125, relative_absolute_error: 0.3887, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3937, root_relative_squared_error: 0.7876, scimark_benchmark: 929.0296, usercpu_time_millis: 22500, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 22490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8713, f_measure: 0.7764, kappa: 0.5553, kb_relative_information_score: 18938.35, mean_absolute_error: 0.2281, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.7859, predictive_accuracy: 0.7783, prior_entropy: 0.9998, recall: 0.7783, relative_absolute_error: 0.4563, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4302, root_relative_squared_error: 0.8606, scimark_benchmark: 929.0296, usercpu_time_millis: 11520, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 11510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8511, f_measure: 0.739, kappa: 0.4858, kb_relative_information_score: 16738.397, mean_absolute_error: 0.2595, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.7611, predictive_accuracy: 0.7441, prior_entropy: 0.9998, recall: 0.7441, relative_absolute_error: 0.5192, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4672, root_relative_squared_error: 0.9346, scimark_benchmark: 929.0296, usercpu_time_millis: 5810, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 5800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3427, kb_relative_information_score: 566.2435, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.2584, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9836, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7012, root_relative_squared_error: 1.4025, scimark_benchmark: 941.9549, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8734, f_measure: 0.8798, kappa: 0.7595, kb_relative_information_score: 25963.5064, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.8798, predictive_accuracy: 0.8798, prior_entropy: 0.9998, recall: 0.8798, relative_absolute_error: 0.2554, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3389, root_relative_squared_error: 0.6779, scimark_benchmark: 922.8232, usercpu_time_millis: 6490, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 6440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9305, kappa: 0.8609, kb_relative_information_score: 25492.2929, mean_absolute_error: 0.1462, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.9305, predictive_accuracy: 0.9305, prior_entropy: 0.9998, recall: 0.9305, relative_absolute_error: 0.2925, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2413, root_relative_squared_error: 0.4828, scimark_benchmark: 896.741, usercpu_time_millis: 1026600, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 1026540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8102, f_measure: 0.7468, kappa: 0.4975, kb_relative_information_score: 9444.9411, mean_absolute_error: 0.3833, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.7589, predictive_accuracy: 0.7497, prior_entropy: 0.9998, recall: 0.7497, relative_absolute_error: 0.7669, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4238, root_relative_squared_error: 0.8477, scimark_benchmark: 933.0918, usercpu_time_millis: 520, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8801, f_measure: 0.8835, kappa: 0.767, kb_relative_information_score: 25529.8589, mean_absolute_error: 0.1373, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.8836, predictive_accuracy: 0.8835, prior_entropy: 0.9998, recall: 0.8835, relative_absolute_error: 0.2747, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3293, root_relative_squared_error: 0.6587, scimark_benchmark: 934.929, usercpu_time_millis: 3420, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 3330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9065, f_measure: 0.8335, kappa: 0.667, kb_relative_information_score: 14708.3838, mean_absolute_error: 0.3106, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.8337, predictive_accuracy: 0.8335, prior_entropy: 0.9998, recall: 0.8335, relative_absolute_error: 0.6214, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3623, root_relative_squared_error: 0.7247, scimark_benchmark: 933.0918, usercpu_time_millis: 23120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 23110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8938, f_measure: 0.8695, kappa: 0.7389, kb_relative_information_score: 25407.7929, mean_absolute_error: 0.1346, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.8695, predictive_accuracy: 0.8695, prior_entropy: 0.9998, recall: 0.8695, relative_absolute_error: 0.2693, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3471, root_relative_squared_error: 0.6943, scimark_benchmark: 926.4745, usercpu_time_millis: 35870, usercpu_time_millis_testing: 12460, usercpu_time_millis_training: 23410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.838, kappa: 0.6762, kb_relative_information_score: 19295.4553, mean_absolute_error: 0.2364, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.8387, predictive_accuracy: 0.838, prior_entropy: 0.9998, recall: 0.838, relative_absolute_error: 0.4729, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3441, root_relative_squared_error: 0.6884, scimark_benchmark: 869.7548, usercpu_time_millis: 38420, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 38410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8801, f_measure: 0.8835, kappa: 0.767, kb_relative_information_score: 25529.8589, mean_absolute_error: 0.1373, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.8836, predictive_accuracy: 0.8835, prior_entropy: 0.9998, recall: 0.8835, relative_absolute_error: 0.2747, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3293, root_relative_squared_error: 0.6587, scimark_benchmark: 945.988, usercpu_time_millis: 3210, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 3120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8952, f_measure: 0.8273, kappa: 0.6544, kb_relative_information_score: 22047.4748, mean_absolute_error: 0.1845, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.8274, predictive_accuracy: 0.8273, prior_entropy: 0.9998, recall: 0.8273, relative_absolute_error: 0.3691, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3783, root_relative_squared_error: 0.7568, scimark_benchmark: 1354.5533, usercpu_time_millis: 375090, usercpu_time_millis_testing: 21440, usercpu_time_millis_training: 353650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.838, kappa: 0.6762, kb_relative_information_score: 19295.4553, mean_absolute_error: 0.2364, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.8387, predictive_accuracy: 0.838, prior_entropy: 0.9998, recall: 0.838, relative_absolute_error: 0.4729, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3441, root_relative_squared_error: 0.6884, scimark_benchmark: 1324.6608, usercpu_time_millis: 27780, usercpu_time_millis_training: 27780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9396, f_measure: 0.8601, kappa: 0.7217, kb_relative_information_score: 25031.0809, mean_absolute_error: 0.1392, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.8714, predictive_accuracy: 0.8613, prior_entropy: 0.9998, recall: 0.8613, relative_absolute_error: 0.2784, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3593, root_relative_squared_error: 0.7186, scimark_benchmark: 1317.5857, usercpu_time_millis: 22980, usercpu_time_millis_testing: 18350, usercpu_time_millis_training: 4630,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3427, kb_relative_information_score: -14.1073, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.2584, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0001, scimark_benchmark: 1368.9272, usercpu_time_millis: 10006380, usercpu_time_millis_testing: 10006380,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9171, f_measure: 0.8969, kappa: 0.7939, kb_relative_information_score: 25892.085, mean_absolute_error: 0.1345, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.8972, predictive_accuracy: 0.8969, prior_entropy: 0.9998, recall: 0.8969, relative_absolute_error: 0.2692, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3045, root_relative_squared_error: 0.609, scimark_benchmark: 942.6843, usercpu_time_millis: 21780, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 21770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8697, f_measure: 0.8761, kappa: 0.7521, kb_relative_information_score: 24327.0333, mean_absolute_error: 0.1579, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.8761, predictive_accuracy: 0.8761, prior_entropy: 0.9998, recall: 0.8761, relative_absolute_error: 0.3159, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3385, root_relative_squared_error: 0.6771, scimark_benchmark: 1321.1875, usercpu_time_millis: 14670, usercpu_time_millis_training: 14670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7244, f_measure: 0.7259, kappa: 0.4593, kb_relative_information_score: 9270.5294, mean_absolute_error: 0.3848, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.7453, predictive_accuracy: 0.7309, prior_entropy: 0.9998, recall: 0.7309, relative_absolute_error: 0.7698, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4402, root_relative_squared_error: 0.8805, scimark_benchmark: 1321.1875, usercpu_time_millis: 340, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8542, f_measure: 0.8542, kappa: 0.7084, kb_relative_information_score: 24565.9158, mean_absolute_error: 0.1458, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.8542, predictive_accuracy: 0.8542, prior_entropy: 0.9998, recall: 0.8542, relative_absolute_error: 0.2916, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3818, root_relative_squared_error: 0.7637, scimark_benchmark: 1464.9318, usercpu_time_millis: 190, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7111, f_measure: 0.6903, kappa: 0.3963, kb_relative_information_score: 13614.8761, mean_absolute_error: 0.3037, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.7184, predictive_accuracy: 0.6967, prior_entropy: 0.9998, recall: 0.6967, relative_absolute_error: 0.6075, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5415, root_relative_squared_error: 1.0831, scimark_benchmark: 1334.8495, usercpu_time_millis: 3750, usercpu_time_millis_testing: 1770, usercpu_time_millis_training: 1980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.9219, kappa: 0.8439, kb_relative_information_score: 23826.8724, mean_absolute_error: 0.1756, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.9222, predictive_accuracy: 0.9219, prior_entropy: 0.9998, recall: 0.9219, relative_absolute_error: 0.3514, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2532, root_relative_squared_error: 0.5064, scimark_benchmark: 1332.6319, usercpu_time_millis: 12690, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 12570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.9247, kappa: 0.8493, kb_relative_information_score: 24387.9735, mean_absolute_error: 0.166, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.9249, predictive_accuracy: 0.9247, prior_entropy: 0.9998, recall: 0.9247, relative_absolute_error: 0.332, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2475, root_relative_squared_error: 0.495, scimark_benchmark: 1321.527, usercpu_time_millis: 105010, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 104940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9706, f_measure: 0.9149, kappa: 0.8298, kb_relative_information_score: 24211.6884, mean_absolute_error: 0.1664, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.9151, predictive_accuracy: 0.9149, prior_entropy: 0.9998, recall: 0.9149, relative_absolute_error: 0.3329, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.259, root_relative_squared_error: 0.518, scimark_benchmark: 1321.8733, usercpu_time_millis: 17070, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 17050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8859, f_measure: 0.6236, kappa: 0.3302, kb_relative_information_score: 796.2003, mean_absolute_error: 0.4891, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.7839, predictive_accuracy: 0.6615, prior_entropy: 0.9998, recall: 0.6615, relative_absolute_error: 0.9784, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4961, root_relative_squared_error: 0.9924, scimark_benchmark: 940.0008, usercpu_time_millis: 1250, usercpu_time_millis_testing: 990, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, f_measure: 0.3427, kb_relative_information_score: -0.0401, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.2584, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1, scimark_benchmark: 932.0242, usercpu_time_millis: 210, usercpu_time_millis_testing: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8891, f_measure: 0.8892, kappa: 0.7784, kb_relative_information_score: 26994.8947, mean_absolute_error: 0.1108, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.8893, predictive_accuracy: 0.8892, prior_entropy: 0.9998, recall: 0.8892, relative_absolute_error: 0.2216, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3328, root_relative_squared_error: 0.6657, scimark_benchmark: 1386.5717, usercpu_time_millis: 12730, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 12470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.9172, kappa: 0.8344, kb_relative_information_score: 23739.1207, mean_absolute_error: 0.1761, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.9175, predictive_accuracy: 0.9172, prior_entropy: 0.9998, recall: 0.9172, relative_absolute_error: 0.3523, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2581, root_relative_squared_error: 0.5163, scimark_benchmark: 1299.5783, usercpu_time_millis: 6530, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 6470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, f_measure: 0.8489, kappa: 0.6976, kb_relative_information_score: 20278.1764, mean_absolute_error: 0.2206, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.8489, predictive_accuracy: 0.8489, prior_entropy: 0.9998, recall: 0.8489, relative_absolute_error: 0.4413, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3356, root_relative_squared_error: 0.6713, scimark_benchmark: 938.9967, usercpu_time_millis: 11740, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 11730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.923, kappa: 0.8461, kb_relative_information_score: 24357.3543, mean_absolute_error: 0.1661, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.9233, predictive_accuracy: 0.923, prior_entropy: 0.9998, recall: 0.923, relative_absolute_error: 0.3323, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2491, root_relative_squared_error: 0.4983, scimark_benchmark: 1313.5726, usercpu_time_millis: 53060, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 53020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.9207, kappa: 0.8414, kb_relative_information_score: 24298.6968, mean_absolute_error: 0.1664, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.9209, predictive_accuracy: 0.9207, prior_entropy: 0.9998, recall: 0.9207, relative_absolute_error: 0.3329, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2524, root_relative_squared_error: 0.505, scimark_benchmark: 1321.527, usercpu_time_millis: 22310, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 22290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.879, f_measure: 0.8732, kappa: 0.7463, kb_relative_information_score: 24640.2287, mean_absolute_error: 0.1508, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.8734, predictive_accuracy: 0.8732, prior_entropy: 0.9998, recall: 0.8732, relative_absolute_error: 0.3017, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3405, root_relative_squared_error: 0.6811, scimark_benchmark: 895.5332, usercpu_time_millis: 18910, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 18900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9302, f_measure: 0.8563, kappa: 0.7125, kb_relative_information_score: 21806.6098, mean_absolute_error: 0.1957, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.8563, predictive_accuracy: 0.8563, prior_entropy: 0.9998, recall: 0.8563, relative_absolute_error: 0.3915, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3234, root_relative_squared_error: 0.6468, scimark_benchmark: 1333.5799, usercpu_time_millis: 52570, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 52540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9225, f_measure: 0.8476, kappa: 0.695, kb_relative_information_score: 20873.2387, mean_absolute_error: 0.2101, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.8476, predictive_accuracy: 0.8476, prior_entropy: 0.9998, recall: 0.8476, relative_absolute_error: 0.4202, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3324, root_relative_squared_error: 0.6648, scimark_benchmark: 939.5088, usercpu_time_millis: 42180, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 42160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9122, f_measure: 0.8397, kappa: 0.6793, kb_relative_information_score: 19850.8334, mean_absolute_error: 0.2259, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.8399, predictive_accuracy: 0.8398, prior_entropy: 0.9998, recall: 0.8398, relative_absolute_error: 0.4519, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.343, root_relative_squared_error: 0.6861, scimark_benchmark: 1330.0694, usercpu_time_millis: 12840, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 12830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.899, f_measure: 0.8254, kappa: 0.6508, kb_relative_information_score: 18464.8036, mean_absolute_error: 0.2473, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.8256, predictive_accuracy: 0.8255, prior_entropy: 0.9998, recall: 0.8255, relative_absolute_error: 0.4947, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3558, root_relative_squared_error: 0.7118, scimark_benchmark: 937.1527, usercpu_time_millis: 11180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 11170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8763, f_measure: 0.7962, kappa: 0.5927, kb_relative_information_score: 16161.1731, mean_absolute_error: 0.282, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.7982, predictive_accuracy: 0.7967, prior_entropy: 0.9998, recall: 0.7967, relative_absolute_error: 0.5642, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3761, root_relative_squared_error: 0.7522, scimark_benchmark: 1336.3256, usercpu_time_millis: 3900, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9579, kappa: 0.9158, kb_relative_information_score: 30226.4149, mean_absolute_error: 0.068, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.9587, predictive_accuracy: 0.958, prior_entropy: 0.9998, recall: 0.958, relative_absolute_error: 0.1361, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1865, root_relative_squared_error: 0.373, scimark_benchmark: 937.1527, usercpu_time_millis: 99770, usercpu_time_millis_testing: 99770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9584, kappa: 0.9167, kb_relative_information_score: 30896.9592, mean_absolute_error: 0.0563, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.9589, predictive_accuracy: 0.9584, prior_entropy: 0.9998, recall: 0.9584, relative_absolute_error: 0.1127, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1828, root_relative_squared_error: 0.3656, scimark_benchmark: 889.3151, usercpu_time_millis: 120940, usercpu_time_millis_testing: 120940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7598, f_measure: 0.7594, kappa: 0.5192, kb_relative_information_score: 17991.2661, mean_absolute_error: 0.2405, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.7603, predictive_accuracy: 0.7595, prior_entropy: 0.9998, recall: 0.7595, relative_absolute_error: 0.4812, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4904, root_relative_squared_error: 0.981, scimark_benchmark: 1313.9994, usercpu_time_millis: 9360, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 9310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.953, f_measure: 0.953, kappa: 0.906, kb_relative_information_score: 31420.6784, mean_absolute_error: 0.047, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.953, predictive_accuracy: 0.953, prior_entropy: 0.9998, recall: 0.953, relative_absolute_error: 0.094, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2167, root_relative_squared_error: 0.4335, scimark_benchmark: 939.5205, usercpu_time_millis: 128800, usercpu_time_millis_testing: 28920, usercpu_time_millis_training: 99880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8596, f_measure: 0.8597, kappa: 0.7193, kb_relative_information_score: 24944.0682, mean_absolute_error: 0.1403, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.8597, predictive_accuracy: 0.8597, prior_entropy: 0.9998, recall: 0.8597, relative_absolute_error: 0.2807, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3746, root_relative_squared_error: 0.7493, scimark_benchmark: 1287.514, usercpu_time_millis: 151290, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 151230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9403, f_measure: 0.8738, kappa: 0.7474, kb_relative_information_score: 22731.2183, mean_absolute_error: 0.1829, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.8738, predictive_accuracy: 0.8738, prior_entropy: 0.9998, recall: 0.8738, relative_absolute_error: 0.366, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3071, root_relative_squared_error: 0.6143, scimark_benchmark: 918.6005, usercpu_time_millis: 35920, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 35790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.8469, kappa: 0.7, kb_relative_information_score: 19234.2416, mean_absolute_error: 0.239, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.8771, predictive_accuracy: 0.8494, prior_entropy: 0.9998, recall: 0.8494, relative_absolute_error: 0.478, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.6326, scimark_benchmark: 934.6432, usercpu_time_millis: 205070, usercpu_time_millis_testing: 54020, usercpu_time_millis_training: 151050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8126, f_measure: 0.8129, kappa: 0.6256, kb_relative_information_score: 21700.7611, mean_absolute_error: 0.1871, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.8131, predictive_accuracy: 0.8129, prior_entropy: 0.9998, recall: 0.8129, relative_absolute_error: 0.3742, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4325, root_relative_squared_error: 0.8651, scimark_benchmark: 942.6843, usercpu_time_millis: 2750, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 2700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.945, kappa: 0.8899, kb_relative_information_score: 22639.5452, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.945, predictive_accuracy: 0.945, prior_entropy: 0.9998, recall: 0.945, relative_absolute_error: 0.3951, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2536, root_relative_squared_error: 0.5073, scimark_benchmark: 1318.5526, usercpu_time_millis: 3620, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 3360,

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