OpenML
Supervised Classification on nomao

Supervised Classification on nomao

Task 145854 Supervised Classification nomao 32334 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.965, kappa: 0.9141, kb_relative_information_score: 28943.8706, mean_absolute_error: 0.0705, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.965, predictive_accuracy: 0.9651, prior_entropy: 0.863, recall: 0.9651, relative_absolute_error: 0.1727, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.166, root_relative_squared_error: 0.3676, scimark_benchmark: 1237.0534, usercpu_time_millis: 3555.793, usercpu_time_millis_testing: 74.023, usercpu_time_millis_training: 3481.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9382, kappa: 0.8467, kb_relative_information_score: 24153.1048, mean_absolute_error: 0.1334, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9388, predictive_accuracy: 0.9391, prior_entropy: 0.863, recall: 0.9391, relative_absolute_error: 0.327, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2218, root_relative_squared_error: 0.491, scimark_benchmark: 1234.6039, usercpu_time_millis: 411.038, usercpu_time_millis_testing: 24.43, usercpu_time_millis_training: 386.608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9553, kappa: 0.8901, kb_relative_information_score: 27295.3259, mean_absolute_error: 0.0914, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9553, predictive_accuracy: 0.9555, prior_entropy: 0.863, recall: 0.9555, relative_absolute_error: 0.224, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1881, root_relative_squared_error: 0.4163, scimark_benchmark: 1246.8512, usercpu_time_millis: 846.683, usercpu_time_millis_testing: 36.388, usercpu_time_millis_training: 810.295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9421, kappa: 0.856, kb_relative_information_score: 22079.7528, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9431, predictive_accuracy: 0.943, prior_entropy: 0.863, recall: 0.943, relative_absolute_error: 0.4018, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2359, root_relative_squared_error: 0.5223, scimark_benchmark: 1249.3917, usercpu_time_millis: 1163.532, usercpu_time_millis_testing: 81.17, usercpu_time_millis_training: 1082.362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.9089, kappa: 0.77, kb_relative_information_score: 17055.2321, mean_absolute_error: 0.2292, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9166, predictive_accuracy: 0.9128, prior_entropy: 0.863, recall: 0.9128, relative_absolute_error: 0.5617, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2854, root_relative_squared_error: 0.6318, scimark_benchmark: 1246.1861, usercpu_time_millis: 1137.294, usercpu_time_millis_testing: 87.111, usercpu_time_millis_training: 1050.183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9584, kappa: 0.8975, kb_relative_information_score: 27345.6953, mean_absolute_error: 0.0925, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9584, predictive_accuracy: 0.9586, prior_entropy: 0.863, recall: 0.9586, relative_absolute_error: 0.2266, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1833, root_relative_squared_error: 0.4057, scimark_benchmark: 1240.7693, usercpu_time_millis: 2827.196, usercpu_time_millis_testing: 101.863, usercpu_time_millis_training: 2725.333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9646, kappa: 0.913, kb_relative_information_score: 29406.8356, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9645, predictive_accuracy: 0.9646, prior_entropy: 0.863, recall: 0.9646, relative_absolute_error: 0.1547, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1667, root_relative_squared_error: 0.369, scimark_benchmark: 1293.3679, usercpu_time_millis: 1001.572, usercpu_time_millis_testing: 5.895, usercpu_time_millis_training: 995.677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9683, kappa: 0.9223, kb_relative_information_score: 29769.8526, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9683, predictive_accuracy: 0.9684, prior_entropy: 0.863, recall: 0.9684, relative_absolute_error: 0.1449, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1584, root_relative_squared_error: 0.3506, scimark_benchmark: 1262.582, usercpu_time_millis: 7457.835, usercpu_time_millis_testing: 37.522, usercpu_time_millis_training: 7420.313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9676, kappa: 0.9204, kb_relative_information_score: 29724.659, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9675, predictive_accuracy: 0.9676, prior_entropy: 0.863, recall: 0.9676, relative_absolute_error: 0.1458, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1599, root_relative_squared_error: 0.3539, scimark_benchmark: 1243.9522, usercpu_time_millis: 13454.686, usercpu_time_millis_testing: 74.114, usercpu_time_millis_training: 13380.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9446, kappa: 0.8635, kb_relative_information_score: 26311.0227, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9446, predictive_accuracy: 0.9449, prior_entropy: 0.863, recall: 0.9449, relative_absolute_error: 0.2497, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2053, root_relative_squared_error: 0.4545, scimark_benchmark: 1200.8828, usercpu_time_millis: 2721.601, usercpu_time_millis_testing: 39.454, usercpu_time_millis_training: 2682.147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9334, kappa: 0.8347, kb_relative_information_score: 24970.9118, mean_absolute_error: 0.1189, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9341, predictive_accuracy: 0.9345, prior_entropy: 0.863, recall: 0.9345, relative_absolute_error: 0.2913, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2226, root_relative_squared_error: 0.4927, scimark_benchmark: 1213.6501, usercpu_time_millis: 2497.316, usercpu_time_millis_testing: 77.869, usercpu_time_millis_training: 2419.447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9517, kappa: 0.8815, kb_relative_information_score: 27190.7256, mean_absolute_error: 0.0909, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9517, predictive_accuracy: 0.9518, prior_entropy: 0.863, recall: 0.9518, relative_absolute_error: 0.2226, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1951, root_relative_squared_error: 0.432, scimark_benchmark: 1215.9759, usercpu_time_millis: 1056.951, usercpu_time_millis_testing: 23.038, usercpu_time_millis_training: 1033.913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9637, kappa: 0.9107, kb_relative_information_score: 28690.3039, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9636, predictive_accuracy: 0.9638, prior_entropy: 0.863, recall: 0.9638, relative_absolute_error: 0.181, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1692, root_relative_squared_error: 0.3745, scimark_benchmark: 1247.3232, usercpu_time_millis: 215.28, usercpu_time_millis_testing: 7.513, usercpu_time_millis_training: 207.767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9665, kappa: 0.9179, kb_relative_information_score: 29376.7434, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9665, predictive_accuracy: 0.9666, prior_entropy: 0.863, recall: 0.9666, relative_absolute_error: 0.1583, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1612, root_relative_squared_error: 0.3568, scimark_benchmark: 1230.2806, usercpu_time_millis: 3328.653, usercpu_time_millis_testing: 71.198, usercpu_time_millis_training: 3257.455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9544, kappa: 0.8874, kb_relative_information_score: 26766.2153, mean_absolute_error: 0.1003, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9544, predictive_accuracy: 0.9547, prior_entropy: 0.863, recall: 0.9547, relative_absolute_error: 0.2457, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1898, root_relative_squared_error: 0.4202, scimark_benchmark: 1290.6763, usercpu_time_millis: 9331.883, usercpu_time_millis_testing: 64.518, usercpu_time_millis_training: 9267.365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9305, kappa: 0.8257, kb_relative_information_score: 19449.6231, mean_absolute_error: 0.202, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9347, predictive_accuracy: 0.9326, prior_entropy: 0.863, recall: 0.9326, relative_absolute_error: 0.4951, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2598, root_relative_squared_error: 0.5753, scimark_benchmark: 1273.1235, usercpu_time_millis: 102.333, usercpu_time_millis_testing: 6.78, usercpu_time_millis_training: 95.553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9604, kappa: 0.9024, kb_relative_information_score: 27501.0325, mean_absolute_error: 0.0911, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9604, predictive_accuracy: 0.9606, prior_entropy: 0.863, recall: 0.9606, relative_absolute_error: 0.2232, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1798, root_relative_squared_error: 0.3981, scimark_benchmark: 1276.2701, usercpu_time_millis: 1855.06, usercpu_time_millis_testing: 102.229, usercpu_time_millis_training: 1752.831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9331, kappa: 0.8339, kb_relative_information_score: 25020.8461, mean_absolute_error: 0.1176, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9338, predictive_accuracy: 0.9341, prior_entropy: 0.863, recall: 0.9341, relative_absolute_error: 0.2882, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2233, root_relative_squared_error: 0.4942, scimark_benchmark: 1223.0798, usercpu_time_millis: 2856.381, usercpu_time_millis_testing: 34.825, usercpu_time_millis_training: 2821.556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.9439, kappa: 0.8611, kb_relative_information_score: 27641.9814, mean_absolute_error: 0.0848, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9443, predictive_accuracy: 0.9446, prior_entropy: 0.863, recall: 0.9446, relative_absolute_error: 0.2079, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2035, root_relative_squared_error: 0.4504, scimark_benchmark: 1299.6179, usercpu_time_millis: 16030.758, usercpu_time_millis_testing: 127.067, usercpu_time_millis_training: 15903.691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.962, kappa: 0.9064, kb_relative_information_score: 28055.8663, mean_absolute_error: 0.0832, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.962, predictive_accuracy: 0.9621, prior_entropy: 0.863, recall: 0.9621, relative_absolute_error: 0.2039, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1744, root_relative_squared_error: 0.3862, scimark_benchmark: 1237.9493, usercpu_time_millis: 1546.526, usercpu_time_millis_testing: 81.655, usercpu_time_millis_training: 1464.871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9658, kappa: 0.9159, kb_relative_information_score: 28851.3868, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9658, predictive_accuracy: 0.9659, prior_entropy: 0.863, recall: 0.9659, relative_absolute_error: 0.1778, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1647, root_relative_squared_error: 0.3645, scimark_benchmark: 1235.6289, usercpu_time_millis: 1247.267, usercpu_time_millis_testing: 53.078, usercpu_time_millis_training: 1194.189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9378, kappa: 0.8458, kb_relative_information_score: 25140.1337, mean_absolute_error: 0.118, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9381, predictive_accuracy: 0.9385, prior_entropy: 0.863, recall: 0.9385, relative_absolute_error: 0.289, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2168, root_relative_squared_error: 0.48, scimark_benchmark: 1249.7576, usercpu_time_millis: 2764.787, usercpu_time_millis_testing: 65.884, usercpu_time_millis_training: 2698.903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.9344, kappa: 0.8371, kb_relative_information_score: 24820.8972, mean_absolute_error: 0.1217, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.935, predictive_accuracy: 0.9353, prior_entropy: 0.863, recall: 0.9353, relative_absolute_error: 0.2981, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.222, root_relative_squared_error: 0.4916, scimark_benchmark: 1232.754, usercpu_time_millis: 2766.427, usercpu_time_millis_testing: 60.876, usercpu_time_millis_training: 2705.551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9573, kappa: 0.8946, kb_relative_information_score: 26464.2601, mean_absolute_error: 0.1056, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9575, predictive_accuracy: 0.9577, prior_entropy: 0.863, recall: 0.9577, relative_absolute_error: 0.2587, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1902, root_relative_squared_error: 0.4211, scimark_benchmark: 1246.3552, usercpu_time_millis: 2782.651, usercpu_time_millis_testing: 137.686, usercpu_time_millis_training: 2644.965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9658, kappa: 0.916, kb_relative_information_score: 28897.4341, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9658, predictive_accuracy: 0.9659, prior_entropy: 0.863, recall: 0.9659, relative_absolute_error: 0.1754, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.165, root_relative_squared_error: 0.3652, scimark_benchmark: 1235.1338, usercpu_time_millis: 1413.115, usercpu_time_millis_testing: 58.433, usercpu_time_millis_training: 1354.682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.959, kappa: 0.8993, kb_relative_information_score: 28337.9811, mean_absolute_error: 0.0767, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9589, predictive_accuracy: 0.9591, prior_entropy: 0.863, recall: 0.9591, relative_absolute_error: 0.1881, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1788, root_relative_squared_error: 0.3958, scimark_benchmark: 1204.8063, usercpu_time_millis: 1542.277, usercpu_time_millis_testing: 23.865, usercpu_time_millis_training: 1518.412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9223, kappa: 0.8052, kb_relative_information_score: 23347.1281, mean_absolute_error: 0.1424, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9255, predictive_accuracy: 0.9245, prior_entropy: 0.863, recall: 0.9245, relative_absolute_error: 0.349, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2344, root_relative_squared_error: 0.5189, scimark_benchmark: 1217.7395, usercpu_time_millis: 249.117, usercpu_time_millis_testing: 8.243, usercpu_time_millis_training: 240.874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9439, kappa: 0.8611, kb_relative_information_score: 25126.7766, mean_absolute_error: 0.121, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9443, predictive_accuracy: 0.9446, prior_entropy: 0.863, recall: 0.9446, relative_absolute_error: 0.2964, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2104, root_relative_squared_error: 0.4658, scimark_benchmark: 1253.3215, usercpu_time_millis: 577.205, usercpu_time_millis_testing: 23.585, usercpu_time_millis_training: 553.62,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, f_measure: 0.906, kappa: 0.7659, kb_relative_information_score: 18373.388, mean_absolute_error: 0.2047, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9066, predictive_accuracy: 0.9077, prior_entropy: 0.863, recall: 0.9077, relative_absolute_error: 0.5016, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2759, root_relative_squared_error: 0.6107, scimark_benchmark: 1215.517, usercpu_time_millis: 503.516, usercpu_time_millis_testing: 32.417, usercpu_time_millis_training: 471.099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.942, kappa: 0.8564, kb_relative_information_score: 25079.5223, mean_absolute_error: 0.1211, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9424, predictive_accuracy: 0.9427, prior_entropy: 0.863, recall: 0.9427, relative_absolute_error: 0.2968, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2122, root_relative_squared_error: 0.4699, scimark_benchmark: 1226.867, usercpu_time_millis: 1200.509, usercpu_time_millis_testing: 73.189, usercpu_time_millis_training: 1127.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.9197, kappa: 0.7985, kb_relative_information_score: 23291.1846, mean_absolute_error: 0.1432, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9237, predictive_accuracy: 0.9222, prior_entropy: 0.863, recall: 0.9222, relative_absolute_error: 0.3508, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2357, root_relative_squared_error: 0.5219, scimark_benchmark: 1215.4204, usercpu_time_millis: 2674.724, usercpu_time_millis_testing: 56.238, usercpu_time_millis_training: 2618.486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9702, kappa: 0.9267, kb_relative_information_score: 29811.1397, mean_absolute_error: 0.0593, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9701, predictive_accuracy: 0.9702, prior_entropy: 0.863, recall: 0.9702, relative_absolute_error: 0.1453, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1536, root_relative_squared_error: 0.34, scimark_benchmark: 1291.498, usercpu_time_millis: 197.372, usercpu_time_millis_testing: 7.878, usercpu_time_millis_training: 189.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.958, kappa: 0.8969, kb_relative_information_score: 28721.9357, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9579, predictive_accuracy: 0.958, prior_entropy: 0.863, recall: 0.958, relative_absolute_error: 0.1753, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1778, root_relative_squared_error: 0.3935, scimark_benchmark: 1283.8764, usercpu_time_millis: 13284.06, usercpu_time_millis_testing: 54.443, usercpu_time_millis_training: 13229.617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.93, kappa: 0.8251, kb_relative_information_score: 19271.9777, mean_absolute_error: 0.1992, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9319, predictive_accuracy: 0.9315, prior_entropy: 0.863, recall: 0.9315, relative_absolute_error: 0.4882, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2638, root_relative_squared_error: 0.584, scimark_benchmark: 1295.0493, usercpu_time_millis: 891.525, usercpu_time_millis_testing: 61.858, usercpu_time_millis_training: 829.667,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9655, kappa: 0.9152, kb_relative_information_score: 28911.7095, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9655, predictive_accuracy: 0.9656, prior_entropy: 0.863, recall: 0.9656, relative_absolute_error: 0.175, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1648, root_relative_squared_error: 0.3647, scimark_benchmark: 1294.6737, usercpu_time_millis: 2207.295, usercpu_time_millis_testing: 73.21, usercpu_time_millis_training: 2134.085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9268, kappa: 0.8173, kb_relative_information_score: 23299.0549, mean_absolute_error: 0.1437, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9284, predictive_accuracy: 0.9283, prior_entropy: 0.863, recall: 0.9283, relative_absolute_error: 0.3521, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2331, root_relative_squared_error: 0.5161, scimark_benchmark: 1295.5515, usercpu_time_millis: 726.675, usercpu_time_millis_testing: 41.738, usercpu_time_millis_training: 684.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9602, kappa: 0.9022, kb_relative_information_score: 28223.8547, mean_absolute_error: 0.0793, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9601, predictive_accuracy: 0.9603, prior_entropy: 0.863, recall: 0.9603, relative_absolute_error: 0.1943, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1771, root_relative_squared_error: 0.392, scimark_benchmark: 1273.3396, usercpu_time_millis: 2775.864, usercpu_time_millis_testing: 86.004, usercpu_time_millis_training: 2689.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9422, kappa: 0.857, kb_relative_information_score: 25810.6191, mean_absolute_error: 0.1094, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9423, predictive_accuracy: 0.9427, prior_entropy: 0.863, recall: 0.9427, relative_absolute_error: 0.2681, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.4619, scimark_benchmark: 1232.0765, usercpu_time_millis: 4255.924, usercpu_time_millis_testing: 98.261, usercpu_time_millis_training: 4157.663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9686, kappa: 0.923, kb_relative_information_score: 29790.1735, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9686, predictive_accuracy: 0.9687, prior_entropy: 0.863, recall: 0.9687, relative_absolute_error: 0.145, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1556, root_relative_squared_error: 0.3445, scimark_benchmark: 1290.8158, usercpu_time_millis: 3020.801, usercpu_time_millis_testing: 56.23, usercpu_time_millis_training: 2964.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9286, kappa: 0.8208, kb_relative_information_score: 19133.0475, mean_absolute_error: 0.2055, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9329, predictive_accuracy: 0.9308, prior_entropy: 0.863, recall: 0.9308, relative_absolute_error: 0.5036, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2634, root_relative_squared_error: 0.583, scimark_benchmark: 1232.8289, usercpu_time_millis: 371.751, usercpu_time_millis_testing: 23.791, usercpu_time_millis_training: 347.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9591, kappa: 0.8997, kb_relative_information_score: 28410.0141, mean_absolute_error: 0.0758, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9591, predictive_accuracy: 0.9592, prior_entropy: 0.863, recall: 0.9592, relative_absolute_error: 0.1857, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1783, root_relative_squared_error: 0.3948, scimark_benchmark: 1226.5576, usercpu_time_millis: 4321.859, usercpu_time_millis_testing: 64.434, usercpu_time_millis_training: 4257.425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9487, kappa: 0.8741, kb_relative_information_score: 26927.671, mean_absolute_error: 0.0938, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9486, predictive_accuracy: 0.9488, prior_entropy: 0.863, recall: 0.9488, relative_absolute_error: 0.2299, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1994, root_relative_squared_error: 0.4415, scimark_benchmark: 1232.6663, usercpu_time_millis: 120.847, usercpu_time_millis_testing: 3.937, usercpu_time_millis_training: 116.91,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9556, kappa: 0.8904, kb_relative_information_score: 26814.2418, mean_absolute_error: 0.0994, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9556, predictive_accuracy: 0.9559, prior_entropy: 0.863, recall: 0.9559, relative_absolute_error: 0.2435, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1897, root_relative_squared_error: 0.4199, scimark_benchmark: 1296.2627, usercpu_time_millis: 842.31, usercpu_time_millis_testing: 38.194, usercpu_time_millis_training: 804.116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.945, kappa: 0.8636, kb_relative_information_score: 24223.7307, mean_absolute_error: 0.1336, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9455, predictive_accuracy: 0.9457, prior_entropy: 0.863, recall: 0.9457, relative_absolute_error: 0.3273, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2176, root_relative_squared_error: 0.4817, scimark_benchmark: 1278.0698, usercpu_time_millis: 47.978, usercpu_time_millis_testing: 4.768, usercpu_time_millis_training: 43.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9387, kappa: 0.8484, kb_relative_information_score: 25533.8465, mean_absolute_error: 0.1117, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9389, predictive_accuracy: 0.9394, prior_entropy: 0.863, recall: 0.9394, relative_absolute_error: 0.2738, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.4758, scimark_benchmark: 1290.2214, usercpu_time_millis: 2477.262, usercpu_time_millis_testing: 62.029, usercpu_time_millis_training: 2415.233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9647, kappa: 0.9134, kb_relative_information_score: 28903.3639, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9647, predictive_accuracy: 0.9648, prior_entropy: 0.863, recall: 0.9648, relative_absolute_error: 0.1742, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1664, root_relative_squared_error: 0.3685, scimark_benchmark: 1292.8168, usercpu_time_millis: 202.386, usercpu_time_millis_testing: 6.11, usercpu_time_millis_training: 196.276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9663, kappa: 0.9172, kb_relative_information_score: 29203.2784, mean_absolute_error: 0.0672, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9662, predictive_accuracy: 0.9663, prior_entropy: 0.863, recall: 0.9663, relative_absolute_error: 0.1646, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1624, root_relative_squared_error: 0.3595, scimark_benchmark: 1250.9644, usercpu_time_millis: 1934.567, usercpu_time_millis_testing: 60.408, usercpu_time_millis_training: 1874.159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9675, kappa: 0.9203, kb_relative_information_score: 29561.8801, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9675, predictive_accuracy: 0.9676, prior_entropy: 0.863, recall: 0.9676, relative_absolute_error: 0.152, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1595, root_relative_squared_error: 0.3532, scimark_benchmark: 1218.6285, usercpu_time_millis: 4959.049, usercpu_time_millis_testing: 57.127, usercpu_time_millis_training: 4901.922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9671, kappa: 0.9194, kb_relative_information_score: 29552.1911, mean_absolute_error: 0.0621, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9671, predictive_accuracy: 0.9672, prior_entropy: 0.863, recall: 0.9672, relative_absolute_error: 0.1521, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1601, root_relative_squared_error: 0.3544, scimark_benchmark: 1240.973, usercpu_time_millis: 6531.276, usercpu_time_millis_testing: 74.691, usercpu_time_millis_training: 6456.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9609, kappa: 0.9039, kb_relative_information_score: 28486.9876, mean_absolute_error: 0.0756, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9608, predictive_accuracy: 0.9609, prior_entropy: 0.863, recall: 0.9609, relative_absolute_error: 0.1851, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1746, root_relative_squared_error: 0.3865, scimark_benchmark: 1266.2702, usercpu_time_millis: 1870.519, usercpu_time_millis_testing: 31.424, usercpu_time_millis_training: 1839.095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9621, kappa: 0.9069, kb_relative_information_score: 28545.1354, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9621, predictive_accuracy: 0.9622, prior_entropy: 0.863, recall: 0.9622, relative_absolute_error: 0.1841, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.173, root_relative_squared_error: 0.3829, scimark_benchmark: 1270.4543, usercpu_time_millis: 1893.485, usercpu_time_millis_testing: 52.729, usercpu_time_millis_training: 1840.756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9319, kappa: 0.8306, kb_relative_information_score: 24719.2028, mean_absolute_error: 0.1229, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9328, predictive_accuracy: 0.933, prior_entropy: 0.863, recall: 0.933, relative_absolute_error: 0.3013, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2237, root_relative_squared_error: 0.4952, scimark_benchmark: 1262.7725, usercpu_time_millis: 1213.461, usercpu_time_millis_testing: 55.57, usercpu_time_millis_training: 1157.891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9458, kappa: 0.8658, kb_relative_information_score: 23993.5844, mean_absolute_error: 0.138, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9464, predictive_accuracy: 0.9465, prior_entropy: 0.863, recall: 0.9465, relative_absolute_error: 0.3382, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2178, root_relative_squared_error: 0.4822, scimark_benchmark: 1240.7188, usercpu_time_millis: 1561.896, usercpu_time_millis_testing: 108.187, usercpu_time_millis_training: 1453.709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9663, kappa: 0.9173, kb_relative_information_score: 29437.6255, mean_absolute_error: 0.0636, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9663, predictive_accuracy: 0.9664, prior_entropy: 0.863, recall: 0.9664, relative_absolute_error: 0.1558, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1618, root_relative_squared_error: 0.3581, scimark_benchmark: 1238.5604, usercpu_time_millis: 3861.905, usercpu_time_millis_testing: 52.843, usercpu_time_millis_training: 3809.062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9323, kappa: 0.8302, kb_relative_information_score: 19398.2778, mean_absolute_error: 0.203, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9363, predictive_accuracy: 0.9343, prior_entropy: 0.863, recall: 0.9343, relative_absolute_error: 0.4974, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.26, root_relative_squared_error: 0.5755, scimark_benchmark: 1271.5407, usercpu_time_millis: 956.969, usercpu_time_millis_testing: 63.843, usercpu_time_millis_training: 893.126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9411, kappa: 0.8535, kb_relative_information_score: 21715.1648, mean_absolute_error: 0.1687, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9422, predictive_accuracy: 0.9421, prior_entropy: 0.863, recall: 0.9421, relative_absolute_error: 0.4134, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2396, root_relative_squared_error: 0.5303, scimark_benchmark: 1209.9958, usercpu_time_millis: 844.176, usercpu_time_millis_testing: 72.332, usercpu_time_millis_training: 771.844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9626, kappa: 0.9082, kb_relative_information_score: 28808.7029, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9626, predictive_accuracy: 0.9627, prior_entropy: 0.863, recall: 0.9627, relative_absolute_error: 0.1745, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1714, root_relative_squared_error: 0.3795, scimark_benchmark: 1281.1435, usercpu_time_millis: 200.109, usercpu_time_millis_testing: 4.453, usercpu_time_millis_training: 195.656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9661, kappa: 0.9168, kb_relative_information_score: 29290.2447, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9661, predictive_accuracy: 0.9662, prior_entropy: 0.863, recall: 0.9662, relative_absolute_error: 0.1612, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1622, root_relative_squared_error: 0.359, scimark_benchmark: 1271.532, usercpu_time_millis: 1244.861, usercpu_time_millis_testing: 31.147, usercpu_time_millis_training: 1213.714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9647, kappa: 0.9133, kb_relative_information_score: 29110.7259, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9646, predictive_accuracy: 0.9647, prior_entropy: 0.863, recall: 0.9647, relative_absolute_error: 0.1652, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1671, root_relative_squared_error: 0.3698, scimark_benchmark: 1219.8107, usercpu_time_millis: 2917.307, usercpu_time_millis_testing: 38.203, usercpu_time_millis_training: 2879.104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9634, kappa: 0.9102, kb_relative_information_score: 29087.3046, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9634, predictive_accuracy: 0.9635, prior_entropy: 0.863, recall: 0.9635, relative_absolute_error: 0.1652, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1685, root_relative_squared_error: 0.373, scimark_benchmark: 1240.0848, usercpu_time_millis: 7283.666, usercpu_time_millis_testing: 67.936, usercpu_time_millis_training: 7215.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.918, kappa: 0.794, kb_relative_information_score: 21614.8685, mean_absolute_error: 0.1644, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9224, predictive_accuracy: 0.9207, prior_entropy: 0.863, recall: 0.9207, relative_absolute_error: 0.4029, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2484, root_relative_squared_error: 0.55, scimark_benchmark: 1234.8087, usercpu_time_millis: 672.494, usercpu_time_millis_testing: 35.293, usercpu_time_millis_training: 637.201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9586, kappa: 0.8983, kb_relative_information_score: 28057.7603, mean_absolute_error: 0.0808, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9585, predictive_accuracy: 0.9587, prior_entropy: 0.863, recall: 0.9587, relative_absolute_error: 0.1979, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1805, root_relative_squared_error: 0.3996, scimark_benchmark: 1216.3452, usercpu_time_millis: 4011.843, usercpu_time_millis_testing: 79.943, usercpu_time_millis_training: 3931.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9363, kappa: 0.8419, kb_relative_information_score: 24280.8798, mean_absolute_error: 0.131, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9371, predictive_accuracy: 0.9373, prior_entropy: 0.863, recall: 0.9373, relative_absolute_error: 0.321, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2224, root_relative_squared_error: 0.4923, scimark_benchmark: 1283.5402, usercpu_time_millis: 1977.007, usercpu_time_millis_testing: 67.406, usercpu_time_millis_training: 1909.601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9612, kappa: 0.9048, kb_relative_information_score: 28646.9595, mean_absolute_error: 0.0733, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9612, predictive_accuracy: 0.9613, prior_entropy: 0.863, recall: 0.9613, relative_absolute_error: 0.1795, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1742, root_relative_squared_error: 0.3857, scimark_benchmark: 1211.2887, usercpu_time_millis: 740.633, usercpu_time_millis_testing: 17.627, usercpu_time_millis_training: 723.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9689, kappa: 0.9237, kb_relative_information_score: 29401.097, mean_absolute_error: 0.0653, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9689, predictive_accuracy: 0.969, prior_entropy: 0.863, recall: 0.969, relative_absolute_error: 0.16, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1571, root_relative_squared_error: 0.3478, scimark_benchmark: 1292.0569, usercpu_time_millis: 1344.869, usercpu_time_millis_testing: 41.907, usercpu_time_millis_training: 1302.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9246, kappa: 0.8118, kb_relative_information_score: 24104.8603, mean_absolute_error: 0.1306, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9263, predictive_accuracy: 0.9263, prior_entropy: 0.863, recall: 0.9263, relative_absolute_error: 0.3201, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2301, root_relative_squared_error: 0.5093, scimark_benchmark: 1269.6072, usercpu_time_millis: 54.435, usercpu_time_millis_testing: 3.766, usercpu_time_millis_training: 50.669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9441, kappa: 0.8617, kb_relative_information_score: 25531.5551, mean_absolute_error: 0.1145, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9444, predictive_accuracy: 0.9447, prior_entropy: 0.863, recall: 0.9447, relative_absolute_error: 0.2807, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2083, root_relative_squared_error: 0.4611, scimark_benchmark: 1273.7714, usercpu_time_millis: 1530.372, usercpu_time_millis_testing: 40.651, usercpu_time_millis_training: 1489.721,

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