Task
Supervised Classification on Internet-Advertisements

Supervised Classification on Internet-Advertisements

Task 6566 Supervised Classification Internet-Advertisements 25422 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9757, kappa: 0.8969, kb_relative_information_score: 2512.1052, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.976, predictive_accuracy: 0.9762, prior_entropy: 0.5848, recall: 0.9762, relative_absolute_error: 0.2271, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1488, root_relative_squared_error: 0.4288, scimark_benchmark: 1232.2804, usercpu_time_millis: 1018.95, usercpu_time_millis_testing: 10.656, usercpu_time_millis_training: 1008.294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.9758, kappa: 0.8977, kb_relative_information_score: 2615.3018, mean_absolute_error: 0.0454, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9759, predictive_accuracy: 0.9762, prior_entropy: 0.5848, recall: 0.9762, relative_absolute_error: 0.1886, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1413, root_relative_squared_error: 0.4073, scimark_benchmark: 1240.6428, usercpu_time_millis: 5248.745, usercpu_time_millis_testing: 17.683, usercpu_time_millis_training: 5231.062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9698, f_measure: 0.9694, kappa: 0.8704, kb_relative_information_score: 2486.5845, mean_absolute_error: 0.0518, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9696, predictive_accuracy: 0.9701, prior_entropy: 0.5848, recall: 0.9701, relative_absolute_error: 0.215, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1584, root_relative_squared_error: 0.4567, scimark_benchmark: 1244.8756, usercpu_time_millis: 97.415, usercpu_time_millis_testing: 4.115, usercpu_time_millis_training: 93.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9689, f_measure: 0.971, kappa: 0.8774, kb_relative_information_score: 2596.4977, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9712, predictive_accuracy: 0.9716, prior_entropy: 0.5848, recall: 0.9716, relative_absolute_error: 0.1826, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1507, root_relative_squared_error: 0.4342, scimark_benchmark: 1212.8503, usercpu_time_millis: 2134.528, usercpu_time_millis_testing: 4.288, usercpu_time_millis_training: 2130.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9761, kappa: 0.8987, kb_relative_information_score: 2616.7071, mean_absolute_error: 0.0456, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9762, predictive_accuracy: 0.9765, prior_entropy: 0.5848, recall: 0.9765, relative_absolute_error: 0.1892, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1411, root_relative_squared_error: 0.4068, scimark_benchmark: 1242.4107, usercpu_time_millis: 835.839, usercpu_time_millis_testing: 6.807, usercpu_time_millis_training: 829.032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9739, f_measure: 0.9655, kappa: 0.8532, kb_relative_information_score: 2426.3477, mean_absolute_error: 0.0593, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9658, predictive_accuracy: 0.9665, prior_entropy: 0.5848, recall: 0.9665, relative_absolute_error: 0.2462, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.4712, scimark_benchmark: 1232.0076, usercpu_time_millis: 1431.584, usercpu_time_millis_testing: 7.619, usercpu_time_millis_training: 1423.965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9746, kappa: 0.8932, kb_relative_information_score: 2655.3675, mean_absolute_error: 0.041, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9746, predictive_accuracy: 0.975, prior_entropy: 0.5848, recall: 0.975, relative_absolute_error: 0.1702, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1419, root_relative_squared_error: 0.4088, scimark_benchmark: 1216.5428, usercpu_time_millis: 7276.532, usercpu_time_millis_testing: 14.624, usercpu_time_millis_training: 7261.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.9711, kappa: 0.8776, kb_relative_information_score: 2588.5579, mean_absolute_error: 0.0446, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9712, predictive_accuracy: 0.9716, prior_entropy: 0.5848, recall: 0.9716, relative_absolute_error: 0.1851, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1513, root_relative_squared_error: 0.436, scimark_benchmark: 1232.6918, usercpu_time_millis: 12848.837, usercpu_time_millis_testing: 8.448, usercpu_time_millis_training: 12840.389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9745, kappa: 0.8922, kb_relative_information_score: 2557.2589, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9746, predictive_accuracy: 0.975, prior_entropy: 0.5848, recall: 0.975, relative_absolute_error: 0.2068, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1468, root_relative_squared_error: 0.423, scimark_benchmark: 1231.4067, usercpu_time_millis: 1019.631, usercpu_time_millis_testing: 8.392, usercpu_time_millis_training: 1011.239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.9735, kappa: 0.8879, kb_relative_information_score: 2552.685, mean_absolute_error: 0.048, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9737, predictive_accuracy: 0.9741, prior_entropy: 0.5848, recall: 0.9741, relative_absolute_error: 0.1993, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1525, root_relative_squared_error: 0.4396, scimark_benchmark: 1229.1614, usercpu_time_millis: 629.709, usercpu_time_millis_testing: 4.695, usercpu_time_millis_training: 625.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9739, kappa: 0.8885, kb_relative_information_score: 2435.1839, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9747, predictive_accuracy: 0.9747, prior_entropy: 0.5848, recall: 0.9747, relative_absolute_error: 0.2612, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1533, root_relative_squared_error: 0.4417, scimark_benchmark: 1174.9356, usercpu_time_millis: 182.235, usercpu_time_millis_testing: 7.506, usercpu_time_millis_training: 174.729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.9749, kappa: 0.894, kb_relative_information_score: 2638.8608, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9749, predictive_accuracy: 0.9753, prior_entropy: 0.5848, recall: 0.9753, relative_absolute_error: 0.1768, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1415, root_relative_squared_error: 0.4077, scimark_benchmark: 1212.8586, usercpu_time_millis: 11216.611, usercpu_time_millis_testing: 21.007, usercpu_time_millis_training: 11195.604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, f_measure: 0.9731, kappa: 0.8868, kb_relative_information_score: 2641.6691, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9731, predictive_accuracy: 0.9735, prior_entropy: 0.5848, recall: 0.9735, relative_absolute_error: 0.1625, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1491, root_relative_squared_error: 0.4297, scimark_benchmark: 1234.616, usercpu_time_millis: 8727.69, usercpu_time_millis_testing: 6.403, usercpu_time_millis_training: 8721.287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9737, kappa: 0.8892, kb_relative_information_score: 2654.5879, mean_absolute_error: 0.0402, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9737, predictive_accuracy: 0.9741, prior_entropy: 0.5848, recall: 0.9741, relative_absolute_error: 0.1668, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1434, root_relative_squared_error: 0.4133, scimark_benchmark: 1235.3872, usercpu_time_millis: 16827.075, usercpu_time_millis_testing: 14.05, usercpu_time_millis_training: 16813.025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.9711, kappa: 0.8765, kb_relative_information_score: 2260.758, mean_absolute_error: 0.0748, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9717, predictive_accuracy: 0.9719, prior_entropy: 0.5848, recall: 0.9719, relative_absolute_error: 0.3106, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1644, root_relative_squared_error: 0.4737, scimark_benchmark: 1227.1874, usercpu_time_millis: 2752.294, usercpu_time_millis_testing: 26.153, usercpu_time_millis_training: 2726.141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.9701, kappa: 0.8718, kb_relative_information_score: 2230.5886, mean_absolute_error: 0.0788, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9709, predictive_accuracy: 0.971, prior_entropy: 0.5848, recall: 0.971, relative_absolute_error: 0.3269, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1672, root_relative_squared_error: 0.4818, scimark_benchmark: 1231.1784, usercpu_time_millis: 1673.579, usercpu_time_millis_testing: 18.695, usercpu_time_millis_training: 1654.884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9675, kappa: 0.8595, kb_relative_information_score: 2296.0763, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9693, predictive_accuracy: 0.9689, prior_entropy: 0.5848, recall: 0.9689, relative_absolute_error: 0.319, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1634, root_relative_squared_error: 0.471, scimark_benchmark: 1229.2413, usercpu_time_millis: 978.116, usercpu_time_millis_testing: 34.404, usercpu_time_millis_training: 943.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9739, kappa: 0.8885, kb_relative_information_score: 2426.6837, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9747, predictive_accuracy: 0.9747, prior_entropy: 0.5848, recall: 0.9747, relative_absolute_error: 0.2655, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1548, root_relative_squared_error: 0.4462, scimark_benchmark: 1235.6072, usercpu_time_millis: 1065.516, usercpu_time_millis_testing: 24.787, usercpu_time_millis_training: 1040.729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9765, kappa: 0.9002, kb_relative_information_score: 2522.3347, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.977, predictive_accuracy: 0.9771, prior_entropy: 0.5848, recall: 0.9771, relative_absolute_error: 0.2292, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1461, root_relative_squared_error: 0.421, scimark_benchmark: 1243.8144, usercpu_time_millis: 463.528, usercpu_time_millis_testing: 8.228, usercpu_time_millis_training: 455.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.96, kappa: 0.8254, kb_relative_information_score: 2163.9555, mean_absolute_error: 0.0891, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9629, predictive_accuracy: 0.9622, prior_entropy: 0.5848, recall: 0.9622, relative_absolute_error: 0.3698, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1785, root_relative_squared_error: 0.5144, scimark_benchmark: 1242.7532, usercpu_time_millis: 36.579, usercpu_time_millis_testing: 2.951, usercpu_time_millis_training: 33.628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9743, kappa: 0.8903, kb_relative_information_score: 2414.0435, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9749, predictive_accuracy: 0.975, prior_entropy: 0.5848, recall: 0.975, relative_absolute_error: 0.2657, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1534, root_relative_squared_error: 0.4422, scimark_benchmark: 1245.3176, usercpu_time_millis: 783.546, usercpu_time_millis_testing: 14.642, usercpu_time_millis_training: 768.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.951, kappa: 0.7834, kb_relative_information_score: 2114.152, mean_absolute_error: 0.0954, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9561, predictive_accuracy: 0.9546, prior_entropy: 0.5848, recall: 0.9546, relative_absolute_error: 0.3961, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1893, root_relative_squared_error: 0.5456, scimark_benchmark: 1243.9596, usercpu_time_millis: 240.256, usercpu_time_millis_testing: 14.095, usercpu_time_millis_training: 226.161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9606, kappa: 0.8279, kb_relative_information_score: 2154.0369, mean_absolute_error: 0.0902, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9637, predictive_accuracy: 0.9628, prior_entropy: 0.5848, recall: 0.9628, relative_absolute_error: 0.3746, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1766, root_relative_squared_error: 0.509, scimark_benchmark: 1233.0216, usercpu_time_millis: 432.116, usercpu_time_millis_testing: 19.361, usercpu_time_millis_training: 412.755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.9243, kappa: 0.6557, kb_relative_information_score: 1705.2353, mean_absolute_error: 0.1339, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.937, predictive_accuracy: 0.9332, prior_entropy: 0.5848, recall: 0.9332, relative_absolute_error: 0.556, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2226, root_relative_squared_error: 0.6416, scimark_benchmark: 1208.2238, usercpu_time_millis: 119.39, usercpu_time_millis_testing: 5.525, usercpu_time_millis_training: 113.865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9532, f_measure: 0.8452, kappa: 0.2556, kb_relative_information_score: 894.5549, mean_absolute_error: 0.1959, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8938, predictive_accuracy: 0.8829, prior_entropy: 0.5848, recall: 0.8829, relative_absolute_error: 0.8132, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2908, root_relative_squared_error: 0.8381, scimark_benchmark: 1234.8786, usercpu_time_millis: 68.609, usercpu_time_millis_testing: 5.461, usercpu_time_millis_training: 63.148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.7953, kb_relative_information_score: -1.9503, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1222.8964, usercpu_time_millis: 52.505, usercpu_time_millis_testing: 6.924, usercpu_time_millis_training: 45.581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9733, kappa: 0.8864, kb_relative_information_score: 2375.4991, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9739, predictive_accuracy: 0.9741, prior_entropy: 0.5848, recall: 0.9741, relative_absolute_error: 0.2793, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1562, root_relative_squared_error: 0.4502, scimark_benchmark: 1237.5584, usercpu_time_millis: 870.164, usercpu_time_millis_testing: 15.805, usercpu_time_millis_training: 854.359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.9746, kappa: 0.8918, kb_relative_information_score: 2432.6386, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9752, predictive_accuracy: 0.9753, prior_entropy: 0.5848, recall: 0.9753, relative_absolute_error: 0.2615, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1523, root_relative_squared_error: 0.4391, scimark_benchmark: 1230.5428, usercpu_time_millis: 1879.201, usercpu_time_millis_testing: 33.793, usercpu_time_millis_training: 1845.408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9736, kappa: 0.8872, kb_relative_information_score: 2404.0508, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9743, predictive_accuracy: 0.9744, prior_entropy: 0.5848, recall: 0.9744, relative_absolute_error: 0.2704, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1554, root_relative_squared_error: 0.4479, scimark_benchmark: 1241.6816, usercpu_time_millis: 307.686, usercpu_time_millis_testing: 8.462, usercpu_time_millis_training: 299.224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9597, f_measure: 0.821, kappa: 0.131, kb_relative_information_score: 800.7209, mean_absolute_error: 0.2032, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8881, predictive_accuracy: 0.8713, prior_entropy: 0.5848, recall: 0.8713, relative_absolute_error: 0.8433, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.298, root_relative_squared_error: 0.8589, scimark_benchmark: 1241.6962, usercpu_time_millis: 73.979, usercpu_time_millis_testing: 5.426, usercpu_time_millis_training: 68.553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 0.1044, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1204.1726, usercpu_time_millis: 39.815, usercpu_time_millis_testing: 4.705, usercpu_time_millis_training: 35.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: -1.2358, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1242.2783, usercpu_time_millis: 39.604, usercpu_time_millis_testing: 5.059, usercpu_time_millis_training: 34.545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.7953, kb_relative_information_score: -4.6051, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 1, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1233.0022, usercpu_time_millis: 35.518, usercpu_time_millis_testing: 3.983, usercpu_time_millis_training: 31.535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9073, kappa: 0.5714, kb_relative_information_score: 1475.9502, mean_absolute_error: 0.1562, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9261, predictive_accuracy: 0.9207, prior_entropy: 0.5848, recall: 0.9207, relative_absolute_error: 0.6483, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2415, root_relative_squared_error: 0.696, scimark_benchmark: 1234.866, usercpu_time_millis: 82.116, usercpu_time_millis_testing: 6.33, usercpu_time_millis_training: 75.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.7953, kb_relative_information_score: -2.7586, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1244.2284, usercpu_time_millis: 45.156, usercpu_time_millis_testing: 5.737, usercpu_time_millis_training: 39.419,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.961, kappa: 0.8302, kb_relative_information_score: 2257.4238, mean_absolute_error: 0.0793, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9637, predictive_accuracy: 0.9631, prior_entropy: 0.5848, recall: 0.9631, relative_absolute_error: 0.3292, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1733, root_relative_squared_error: 0.4996, scimark_benchmark: 1243.8796, usercpu_time_millis: 119.615, usercpu_time_millis_testing: 5.411, usercpu_time_millis_training: 114.204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.9599, kappa: 0.8247, kb_relative_information_score: 2149.1237, mean_absolute_error: 0.0911, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9631, predictive_accuracy: 0.9622, prior_entropy: 0.5848, recall: 0.9622, relative_absolute_error: 0.3781, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1754, root_relative_squared_error: 0.5054, scimark_benchmark: 1236.7033, usercpu_time_millis: 667.637, usercpu_time_millis_testing: 22.941, usercpu_time_millis_training: 644.696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9637, kappa: 0.8423, kb_relative_information_score: 2205.3514, mean_absolute_error: 0.0855, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9662, predictive_accuracy: 0.9655, prior_entropy: 0.5848, recall: 0.9655, relative_absolute_error: 0.3551, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1707, root_relative_squared_error: 0.492, scimark_benchmark: 1241.1326, usercpu_time_millis: 180.792, usercpu_time_millis_testing: 8.41, usercpu_time_millis_training: 172.382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9716, kappa: 0.8787, kb_relative_information_score: 2404.7049, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9725, predictive_accuracy: 0.9726, prior_entropy: 0.5848, recall: 0.9726, relative_absolute_error: 0.2718, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1544, root_relative_squared_error: 0.4451, scimark_benchmark: 1247.2186, usercpu_time_millis: 683.453, usercpu_time_millis_testing: 14.677, usercpu_time_millis_training: 668.776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.8646, kappa: 0.355, kb_relative_information_score: 1109.4176, mean_absolute_error: 0.1836, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9033, predictive_accuracy: 0.8936, prior_entropy: 0.5848, recall: 0.8936, relative_absolute_error: 0.762, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2736, root_relative_squared_error: 0.7887, scimark_benchmark: 1242.8647, usercpu_time_millis: 72.399, usercpu_time_millis_testing: 5.429, usercpu_time_millis_training: 66.97,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: -2.8952, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1218.9562, usercpu_time_millis: 48.186, usercpu_time_millis_testing: 5.008, usercpu_time_millis_training: 43.178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9691, kappa: 0.8668, kb_relative_information_score: 2338.9326, mean_absolute_error: 0.0728, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9708, predictive_accuracy: 0.9704, prior_entropy: 0.5848, recall: 0.9704, relative_absolute_error: 0.3023, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1617, root_relative_squared_error: 0.4662, scimark_benchmark: 1236.0892, usercpu_time_millis: 354.669, usercpu_time_millis_testing: 12.61, usercpu_time_millis_training: 342.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9664, kappa: 0.8547, kb_relative_information_score: 2246.952, mean_absolute_error: 0.0804, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9685, predictive_accuracy: 0.968, prior_entropy: 0.5848, recall: 0.968, relative_absolute_error: 0.3339, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1677, root_relative_squared_error: 0.4832, scimark_benchmark: 1234.5636, usercpu_time_millis: 332.643, usercpu_time_millis_testing: 12.958, usercpu_time_millis_training: 319.685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9766, kappa: 0.9004, kb_relative_information_score: 2537.1158, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.977, predictive_accuracy: 0.9771, prior_entropy: 0.5848, recall: 0.9771, relative_absolute_error: 0.2225, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1443, root_relative_squared_error: 0.416, scimark_benchmark: 1228.1135, usercpu_time_millis: 1642.196, usercpu_time_millis_testing: 22.065, usercpu_time_millis_training: 1620.131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, f_measure: 0.971, kappa: 0.876, kb_relative_information_score: 2243.7284, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9718, predictive_accuracy: 0.9719, prior_entropy: 0.5848, recall: 0.9719, relative_absolute_error: 0.3214, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1655, root_relative_squared_error: 0.4769, scimark_benchmark: 1227.5576, usercpu_time_millis: 1051.648, usercpu_time_millis_testing: 16.385, usercpu_time_millis_training: 1035.263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9672, kappa: 0.8586, kb_relative_information_score: 2273.3386, mean_absolute_error: 0.0784, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9688, predictive_accuracy: 0.9686, prior_entropy: 0.5848, recall: 0.9686, relative_absolute_error: 0.3256, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1653, root_relative_squared_error: 0.4764, scimark_benchmark: 1238.1713, usercpu_time_millis: 371.754, usercpu_time_millis_testing: 14.754, usercpu_time_millis_training: 357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9705, kappa: 0.8731, kb_relative_information_score: 2346.3713, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9719, predictive_accuracy: 0.9716, prior_entropy: 0.5848, recall: 0.9716, relative_absolute_error: 0.2961, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1602, root_relative_squared_error: 0.4617, scimark_benchmark: 1209.7175, usercpu_time_millis: 908.592, usercpu_time_millis_testing: 25.503, usercpu_time_millis_training: 883.089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9688, kappa: 0.8656, kb_relative_information_score: 2301.5526, mean_absolute_error: 0.0756, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9704, predictive_accuracy: 0.9701, prior_entropy: 0.5848, recall: 0.9701, relative_absolute_error: 0.3138, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1625, root_relative_squared_error: 0.4684, scimark_benchmark: 1237.9149, usercpu_time_millis: 1129.678, usercpu_time_millis_testing: 36.688, usercpu_time_millis_training: 1092.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9641, f_measure: 0.9033, kappa: 0.5518, kb_relative_information_score: 1441.7125, mean_absolute_error: 0.1576, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9237, predictive_accuracy: 0.918, prior_entropy: 0.5848, recall: 0.918, relative_absolute_error: 0.6542, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2464, root_relative_squared_error: 0.71, scimark_benchmark: 1246.4859, usercpu_time_millis: 92.433, usercpu_time_millis_testing: 5.473, usercpu_time_millis_training: 86.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9574, kappa: 0.8131, kb_relative_information_score: 2136.6118, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9612, predictive_accuracy: 0.96, prior_entropy: 0.5848, recall: 0.96, relative_absolute_error: 0.3897, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.18, root_relative_squared_error: 0.5187, scimark_benchmark: 1232.0225, usercpu_time_millis: 272.386, usercpu_time_millis_testing: 16.608, usercpu_time_millis_training: 255.778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: -0.9122, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1238.3526, usercpu_time_millis: 53.796, usercpu_time_millis_testing: 6.471, usercpu_time_millis_training: 47.325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9749, kappa: 0.8928, kb_relative_information_score: 2457.1435, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9756, predictive_accuracy: 0.9756, prior_entropy: 0.5848, recall: 0.9756, relative_absolute_error: 0.2552, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1512, root_relative_squared_error: 0.4358, scimark_benchmark: 1223.3889, usercpu_time_millis: 828.272, usercpu_time_millis_testing: 17.389, usercpu_time_millis_training: 810.883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9765, kappa: 0.9, kb_relative_information_score: 2495.4915, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9771, predictive_accuracy: 0.9771, prior_entropy: 0.5848, recall: 0.9771, relative_absolute_error: 0.2396, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1473, root_relative_squared_error: 0.4245, scimark_benchmark: 1224.2053, usercpu_time_millis: 2310.669, usercpu_time_millis_testing: 39.732, usercpu_time_millis_training: 2270.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9535, kappa: 0.7951, kb_relative_information_score: 2093.9654, mean_absolute_error: 0.0988, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9581, predictive_accuracy: 0.9567, prior_entropy: 0.5848, recall: 0.9567, relative_absolute_error: 0.41, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1836, root_relative_squared_error: 0.529, scimark_benchmark: 1233.5223, usercpu_time_millis: 476.645, usercpu_time_millis_testing: 23.376, usercpu_time_millis_training: 453.269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.9606, kappa: 0.8279, kb_relative_information_score: 2167.3827, mean_absolute_error: 0.087, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9637, predictive_accuracy: 0.9628, prior_entropy: 0.5848, recall: 0.9628, relative_absolute_error: 0.3611, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1786, root_relative_squared_error: 0.5148, scimark_benchmark: 1228.7747, usercpu_time_millis: 74.688, usercpu_time_millis_testing: 4.684, usercpu_time_millis_training: 70.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.9658, kappa: 0.8519, kb_relative_information_score: 2215.2632, mean_absolute_error: 0.0838, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9678, predictive_accuracy: 0.9674, prior_entropy: 0.5848, recall: 0.9674, relative_absolute_error: 0.3478, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.169, root_relative_squared_error: 0.487, scimark_benchmark: 1207.1899, usercpu_time_millis: 673.139, usercpu_time_millis_testing: 21.741, usercpu_time_millis_training: 651.398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.7953, kb_relative_information_score: -5.5758, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 1, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1230.3078, usercpu_time_millis: 36.933, usercpu_time_millis_testing: 3.8, usercpu_time_millis_training: 33.133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.9739, kappa: 0.8889, kb_relative_information_score: 2392.7547, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9746, predictive_accuracy: 0.9747, prior_entropy: 0.5848, recall: 0.9747, relative_absolute_error: 0.2731, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.155, root_relative_squared_error: 0.4467, scimark_benchmark: 1233.4706, usercpu_time_millis: 742.682, usercpu_time_millis_testing: 16.842, usercpu_time_millis_training: 725.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.9689, kappa: 0.8661, kb_relative_information_score: 2235.4992, mean_absolute_error: 0.0796, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9703, predictive_accuracy: 0.9701, prior_entropy: 0.5848, recall: 0.9701, relative_absolute_error: 0.3303, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1669, root_relative_squared_error: 0.4812, scimark_benchmark: 1232.3453, usercpu_time_millis: 505.519, usercpu_time_millis_testing: 14.651, usercpu_time_millis_training: 490.868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9736, kappa: 0.887, kb_relative_information_score: 2431.3893, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9744, predictive_accuracy: 0.9744, prior_entropy: 0.5848, recall: 0.9744, relative_absolute_error: 0.2631, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1518, root_relative_squared_error: 0.4375, scimark_benchmark: 1233.2887, usercpu_time_millis: 1880.107, usercpu_time_millis_testing: 40.276, usercpu_time_millis_training: 1839.831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9683, kappa: 0.8634, kb_relative_information_score: 2232.5857, mean_absolute_error: 0.0805, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9696, predictive_accuracy: 0.9695, prior_entropy: 0.5848, recall: 0.9695, relative_absolute_error: 0.3341, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1667, root_relative_squared_error: 0.4804, scimark_benchmark: 1224.7925, usercpu_time_millis: 522.95, usercpu_time_millis_testing: 16.133, usercpu_time_millis_training: 506.817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.9768, kappa: 0.9012, kb_relative_information_score: 2500.7275, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9774, predictive_accuracy: 0.9774, prior_entropy: 0.5848, recall: 0.9774, relative_absolute_error: 0.2383, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1474, root_relative_squared_error: 0.4247, scimark_benchmark: 1252.9191, usercpu_time_millis: 2324.461, usercpu_time_millis_testing: 35.329, usercpu_time_millis_training: 2289.132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9717, kappa: 0.8794, kb_relative_information_score: 2272.8687, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9723, predictive_accuracy: 0.9726, prior_entropy: 0.5848, recall: 0.9726, relative_absolute_error: 0.3069, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1634, root_relative_squared_error: 0.471, scimark_benchmark: 1237.7967, usercpu_time_millis: 1239.761, usercpu_time_millis_testing: 15.473, usercpu_time_millis_training: 1224.288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.7953, kb_relative_information_score: -3.4887, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1227.9334, usercpu_time_millis: 60.141, usercpu_time_millis_testing: 6.04, usercpu_time_millis_training: 54.101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9709, kappa: 0.8748, kb_relative_information_score: 2345.3678, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9721, predictive_accuracy: 0.9719, prior_entropy: 0.5848, recall: 0.9719, relative_absolute_error: 0.2945, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1584, root_relative_squared_error: 0.4564, scimark_benchmark: 1234.9436, usercpu_time_millis: 726.208, usercpu_time_millis_testing: 22.431, usercpu_time_millis_training: 703.777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9722, kappa: 0.8807, kb_relative_information_score: 2386.4205, mean_absolute_error: 0.0678, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9733, predictive_accuracy: 0.9732, prior_entropy: 0.5848, recall: 0.9732, relative_absolute_error: 0.2814, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1559, root_relative_squared_error: 0.4492, scimark_benchmark: 1236.2347, usercpu_time_millis: 395.457, usercpu_time_millis_testing: 11.196, usercpu_time_millis_training: 384.261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9679, kappa: 0.8613, kb_relative_information_score: 2324.8273, mean_absolute_error: 0.0742, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9695, predictive_accuracy: 0.9692, prior_entropy: 0.5848, recall: 0.9692, relative_absolute_error: 0.3079, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1623, root_relative_squared_error: 0.4676, scimark_benchmark: 1245.5788, usercpu_time_millis: 606.147, usercpu_time_millis_testing: 25.045, usercpu_time_millis_training: 581.102,

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