Task
Supervised Classification on anneal

Supervised Classification on anneal

Task 1882 Supervised Classification anneal 192 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9335, f_measure: 0.7693, kappa: 0.5525, kb_relative_information_score: 3733.2977, mean_absolute_error: 0.0909, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.8717, predictive_accuracy: 0.7478, prior_entropy: 1.2149, recall: 0.7478, relative_absolute_error: 0.6769, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2505, root_relative_squared_error: 0.9701, scimark_benchmark: 949.1039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, build_cpu_time: 0.3531, build_memory: 1955340135.7372, f_measure: 0.9422, kappa: 0.8554, kb_relative_information_score: 6802.6125, mean_absolute_error: 0.0419, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.943, predictive_accuracy: 0.9433, prior_entropy: 1.2149, recall: 0.9433, relative_absolute_error: 0.3123, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1254, root_relative_squared_error: 0.4856, scimark_benchmark: 861.4776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, build_cpu_time: 0.3742, build_memory: 1602007654.1096, f_measure: 0.9422, kappa: 0.8554, kb_relative_information_score: 6802.6125, mean_absolute_error: 0.0419, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.943, predictive_accuracy: 0.9433, prior_entropy: 1.2149, recall: 0.9433, relative_absolute_error: 0.3123, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1254, root_relative_squared_error: 0.4856, scimark_benchmark: 945.0906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, build_cpu_time: 0.8176, build_memory: 1713930561.6989, f_measure: 0.9408, kappa: 0.8516, kb_relative_information_score: 6802.8051, mean_absolute_error: 0.0422, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9416, predictive_accuracy: 0.942, prior_entropy: 1.2149, recall: 0.942, relative_absolute_error: 0.3141, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1251, root_relative_squared_error: 0.4845, scimark_benchmark: 924.1648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, build_cpu_time: 1.4204, build_memory: 838108155.5599, f_measure: 0.9414, kappa: 0.8529, kb_relative_information_score: 6808.7473, mean_absolute_error: 0.0421, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.942, predictive_accuracy: 0.9424, prior_entropy: 1.2149, recall: 0.9424, relative_absolute_error: 0.3137, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1247, root_relative_squared_error: 0.4831, scimark_benchmark: 942.1709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, build_cpu_time: 1.488, build_memory: 918292428.0935, f_measure: 0.9414, kappa: 0.8529, kb_relative_information_score: 6808.7473, mean_absolute_error: 0.0421, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.942, predictive_accuracy: 0.9424, prior_entropy: 1.2149, recall: 0.9424, relative_absolute_error: 0.3137, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1247, root_relative_squared_error: 0.4831, scimark_benchmark: 947.0704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, build_cpu_time: 2.8471, build_memory: 980571647.567, f_measure: 0.9415, kappa: 0.8534, kb_relative_information_score: 6795.5746, mean_absolute_error: 0.0424, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9422, predictive_accuracy: 0.9425, prior_entropy: 1.2149, recall: 0.9425, relative_absolute_error: 0.3155, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1252, root_relative_squared_error: 0.485, scimark_benchmark: 946.2609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, build_cpu_time: 11.1728, build_memory: 1586778497.159, f_measure: 0.9601, kappa: 0.9003, kb_relative_information_score: 7645.9225, mean_absolute_error: 0.0232, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9604, predictive_accuracy: 0.961, prior_entropy: 1.2149, recall: 0.961, relative_absolute_error: 0.1729, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0982, root_relative_squared_error: 0.3803, scimark_benchmark: 693.3171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, build_cpu_time: 3.8381, build_memory: 2949111348.0748, f_measure: 0.9599, kappa: 0.8998, kb_relative_information_score: 7645.6533, mean_absolute_error: 0.0232, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9602, predictive_accuracy: 0.9608, prior_entropy: 1.2149, recall: 0.9608, relative_absolute_error: 0.1726, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0984, root_relative_squared_error: 0.381, scimark_benchmark: 930.4223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9735, f_measure: 0.9223, kappa: 0.8039, kb_relative_information_score: 6712.5293, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9242, predictive_accuracy: 0.9247, prior_entropy: 1.2149, recall: 0.9247, relative_absolute_error: 0.2981, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1369, root_relative_squared_error: 0.5302, scimark_benchmark: 977.6382, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4902, f_measure: 0.6587, kb_relative_information_score: -12.9002, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1, scimark_benchmark: 1028.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.9674, kappa: 0.9203, kb_relative_information_score: 7959.3428, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9678, predictive_accuracy: 0.9678, prior_entropy: 1.2149, recall: 0.9678, relative_absolute_error: 0.0799, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1036, root_relative_squared_error: 0.4011, scimark_benchmark: 1028.5889, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6565, f_measure: 0.7624, kappa: 0.4347, kb_relative_information_score: 4151.0777, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.7016, predictive_accuracy: 0.8363, prior_entropy: 1.2149, recall: 0.8363, relative_absolute_error: 0.4063, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2336, root_relative_squared_error: 0.9046, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.963, f_measure: 0.9437, kappa: 0.8576, kb_relative_information_score: 6983.2698, mean_absolute_error: 0.0336, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9436, predictive_accuracy: 0.9447, prior_entropy: 1.2149, recall: 0.9447, relative_absolute_error: 0.2502, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1285, root_relative_squared_error: 0.4975, scimark_benchmark: 1384.4418, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6355, f_measure: 0.4553, kappa: 0.1748, kb_relative_information_score: -3802.3881, mean_absolute_error: 0.2128, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.7976, predictive_accuracy: 0.3615, prior_entropy: 1.2149, recall: 0.3615, relative_absolute_error: 1.5848, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.4613, root_relative_squared_error: 1.7867, scimark_benchmark: 1384.4418, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9595, f_measure: 0.9785, kappa: 0.9459, kb_relative_information_score: 8239.034, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9791, predictive_accuracy: 0.979, prior_entropy: 1.2149, recall: 0.979, relative_absolute_error: 0.0522, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0838, root_relative_squared_error: 0.3244, scimark_benchmark: 1435.4217, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9578, f_measure: 0.9288, kappa: 0.8214, kb_relative_information_score: 6995.4716, mean_absolute_error: 0.0307, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9291, predictive_accuracy: 0.9294, prior_entropy: 1.2149, recall: 0.9294, relative_absolute_error: 0.2286, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1388, root_relative_squared_error: 0.5374, scimark_benchmark: 1309.3173, usercpu_time_millis: 290, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.9203, kappa: 0.7988, kb_relative_information_score: 6714.152, mean_absolute_error: 0.0404, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.921, predictive_accuracy: 0.9222, prior_entropy: 1.2149, recall: 0.9222, relative_absolute_error: 0.3006, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1366, root_relative_squared_error: 0.529, scimark_benchmark: 1335.4072, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.928, kappa: 0.8195, kb_relative_information_score: 6907.7844, mean_absolute_error: 0.033, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9281, predictive_accuracy: 0.9281, prior_entropy: 1.2149, recall: 0.9281, relative_absolute_error: 0.2457, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1444, root_relative_squared_error: 0.5591, scimark_benchmark: 825.5282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9512, kappa: 0.8773, kb_relative_information_score: 7030.0139, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9512, predictive_accuracy: 0.9513, prior_entropy: 1.2149, recall: 0.9513, relative_absolute_error: 0.2886, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1142, root_relative_squared_error: 0.4424, scimark_benchmark: 1066.7184, usercpu_time_millis: 1220, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 1020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.973, kappa: 0.9327, kb_relative_information_score: 7587.8333, mean_absolute_error: 0.0242, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9735, predictive_accuracy: 0.9736, prior_entropy: 1.2149, recall: 0.9736, relative_absolute_error: 0.1801, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0984, root_relative_squared_error: 0.3812, scimark_benchmark: 1372.2145, usercpu_time_millis: 2130, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 2020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.9272, kappa: 0.8223, kb_relative_information_score: 6956.1446, mean_absolute_error: 0.0344, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9331, predictive_accuracy: 0.9251, prior_entropy: 1.2149, recall: 0.9251, relative_absolute_error: 0.256, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1367, root_relative_squared_error: 0.5295, scimark_benchmark: 1363.434, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6866, f_measure: 0.8133, kappa: 0.4866, kb_relative_information_score: 4544.23, mean_absolute_error: 0.0524, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.8482, predictive_accuracy: 0.8429, prior_entropy: 1.2149, recall: 0.8429, relative_absolute_error: 0.39, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2289, root_relative_squared_error: 0.8863, scimark_benchmark: 1325.2092, usercpu_time_millis: 720, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6234, f_measure: 0.5808, kappa: 0.1634, kb_relative_information_score: -1924.4914, mean_absolute_error: 0.1669, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.7153, predictive_accuracy: 0.4992, prior_entropy: 1.2149, recall: 0.4992, relative_absolute_error: 1.2429, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.4086, root_relative_squared_error: 1.5823, scimark_benchmark: 916.9356, usercpu_time_millis: 510, usercpu_time_millis_training: 510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.881, kappa: 0.7074, kb_relative_information_score: 5761.4396, mean_absolute_error: 0.0594, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.8835, predictive_accuracy: 0.8863, prior_entropy: 1.2149, recall: 0.8863, relative_absolute_error: 0.4425, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1673, root_relative_squared_error: 0.6477, scimark_benchmark: 1304.9611, usercpu_time_millis: 790, usercpu_time_millis_training: 790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8316, f_measure: 0.8628, kappa: 0.6655, kb_relative_information_score: -4721.9455, mean_absolute_error: 0.2252, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.8665, predictive_accuracy: 0.8726, prior_entropy: 1.2149, recall: 0.8726, relative_absolute_error: 1.6766, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.315, root_relative_squared_error: 1.2201, scimark_benchmark: 1321.527, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5794, f_measure: 0.6602, kappa: 0.0047, kb_relative_information_score: -5198.1228, mean_absolute_error: 0.2284, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.6552, predictive_accuracy: 0.7624, prior_entropy: 1.2149, recall: 0.7624, relative_absolute_error: 1.7004, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3199, root_relative_squared_error: 1.2391, scimark_benchmark: 938.343, usercpu_time_millis: 940, usercpu_time_millis_testing: 540, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9426, f_measure: 0.9345, kappa: 0.8339, kb_relative_information_score: 7399.9513, mean_absolute_error: 0.0227, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9385, predictive_accuracy: 0.9382, prior_entropy: 1.2149, recall: 0.9382, relative_absolute_error: 0.1693, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1258, root_relative_squared_error: 0.4873, scimark_benchmark: 940.3347, usercpu_time_millis: 410, usercpu_time_millis_testing: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.9269, kappa: 0.8162, kb_relative_information_score: 7224.3681, mean_absolute_error: 0.0274, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9326, predictive_accuracy: 0.9324, prior_entropy: 1.2149, recall: 0.9324, relative_absolute_error: 0.204, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1291, root_relative_squared_error: 0.5, scimark_benchmark: 924.3698, usercpu_time_millis: 400, usercpu_time_millis_testing: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9022, f_measure: 0.7624, kappa: 0.4348, kb_relative_information_score: 2185.8739, mean_absolute_error: 0.1204, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.7016, predictive_accuracy: 0.8363, prior_entropy: 1.2149, recall: 0.8363, relative_absolute_error: 0.8966, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2136, root_relative_squared_error: 0.827, scimark_benchmark: 1304.6687, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9022, f_measure: 0.7624, kappa: 0.4348, kb_relative_information_score: 2185.8739, mean_absolute_error: 0.1204, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.7016, predictive_accuracy: 0.8363, prior_entropy: 1.2149, recall: 0.8363, relative_absolute_error: 0.8966, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2136, root_relative_squared_error: 0.827, scimark_benchmark: 889.3151, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9022, f_measure: 0.7624, kappa: 0.4348, kb_relative_information_score: 2185.8739, mean_absolute_error: 0.1204, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.7016, predictive_accuracy: 0.8363, prior_entropy: 1.2149, recall: 0.8363, relative_absolute_error: 0.8966, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2136, root_relative_squared_error: 0.827, scimark_benchmark: 1336.2509, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9022, f_measure: 0.7624, kappa: 0.4348, kb_relative_information_score: 2185.8739, mean_absolute_error: 0.1204, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.7016, predictive_accuracy: 0.8363, prior_entropy: 1.2149, recall: 0.8363, relative_absolute_error: 0.8966, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2136, root_relative_squared_error: 0.827, scimark_benchmark: 932.0242, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9022, f_measure: 0.7624, kappa: 0.4348, kb_relative_information_score: 2185.8739, mean_absolute_error: 0.1204, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.7016, predictive_accuracy: 0.8363, prior_entropy: 1.2149, recall: 0.8363, relative_absolute_error: 0.8966, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2136, root_relative_squared_error: 0.827, scimark_benchmark: 915.6729, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9499, f_measure: 0.9014, kappa: 0.7511, kb_relative_information_score: 6054.7729, mean_absolute_error: 0.0504, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9021, predictive_accuracy: 0.9036, prior_entropy: 1.2149, recall: 0.9036, relative_absolute_error: 0.375, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1584, root_relative_squared_error: 0.6135, scimark_benchmark: 1336.2509, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9365, kappa: 0.8403, kb_relative_information_score: 6758.9949, mean_absolute_error: 0.042, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9371, predictive_accuracy: 0.9379, prior_entropy: 1.2149, recall: 0.9379, relative_absolute_error: 0.3124, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1279, root_relative_squared_error: 0.4954, scimark_benchmark: 939.449, usercpu_time_millis: 1340, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9872, kappa: 0.9684, kb_relative_information_score: 8256.8023, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9876, predictive_accuracy: 0.9873, prior_entropy: 1.2149, recall: 0.9873, relative_absolute_error: 0.0844, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0613, root_relative_squared_error: 0.2374, scimark_benchmark: 869.6028, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.8397, kappa: 0.5625, kb_relative_information_score: 4962.7592, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.8825, predictive_accuracy: 0.8641, prior_entropy: 1.2149, recall: 0.8641, relative_absolute_error: 0.6149, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1718, root_relative_squared_error: 0.6652, scimark_benchmark: 876.0664, usercpu_time_millis: 260, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 250,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6234, f_measure: 0.5808, kappa: 0.1634, kb_relative_information_score: -1924.4914, mean_absolute_error: 0.1669, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.7153, predictive_accuracy: 0.4992, prior_entropy: 1.2149, recall: 0.4992, relative_absolute_error: 1.2429, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.4086, root_relative_squared_error: 1.5823, scimark_benchmark: 1297.2338, usercpu_time_millis: 400, usercpu_time_millis_training: 400,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.8568, kappa: 0.6183, kb_relative_information_score: 5034.5683, mean_absolute_error: 0.0818, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.893, predictive_accuracy: 0.8777, prior_entropy: 1.2149, recall: 0.8777, relative_absolute_error: 0.6093, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1694, root_relative_squared_error: 0.6562, scimark_benchmark: 1322.4968, usercpu_time_millis: 390, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.949, f_measure: 0.9243, kappa: 0.8089, kb_relative_information_score: 6973.7346, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9246, predictive_accuracy: 0.9254, prior_entropy: 1.2149, recall: 0.9254, relative_absolute_error: 0.2358, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.14, root_relative_squared_error: 0.5424, scimark_benchmark: 1314.9535, usercpu_time_millis: 240, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.8513, kappa: 0.6085, kb_relative_information_score: 5023.8199, mean_absolute_error: 0.0825, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.8918, predictive_accuracy: 0.8754, prior_entropy: 1.2149, recall: 0.8754, relative_absolute_error: 0.614, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1696, root_relative_squared_error: 0.6568, scimark_benchmark: 1320.9366, usercpu_time_millis: 1570, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 1440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9935, kappa: 0.9838, kb_relative_information_score: 8542.809, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9935, predictive_accuracy: 0.9935, prior_entropy: 1.2149, recall: 0.9935, relative_absolute_error: 0.0351, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0443, root_relative_squared_error: 0.1714, scimark_benchmark: 1345.3152, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9597, f_measure: 0.9078, kappa: 0.7725, kb_relative_information_score: 6302.2729, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9106, predictive_accuracy: 0.9097, prior_entropy: 1.2149, recall: 0.9097, relative_absolute_error: 0.3242, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.151, root_relative_squared_error: 0.5847, scimark_benchmark: 1249.4068, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9597, f_measure: 0.9078, kappa: 0.7725, kb_relative_information_score: 6302.2729, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9106, predictive_accuracy: 0.9097, prior_entropy: 1.2149, recall: 0.9097, relative_absolute_error: 0.3242, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.151, root_relative_squared_error: 0.5847, scimark_benchmark: 1350.2369, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8953, f_measure: 0.893, kappa: 0.7315, kb_relative_information_score: 6174.3918, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.8935, predictive_accuracy: 0.894, prior_entropy: 1.2149, recall: 0.894, relative_absolute_error: 0.3061, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1767, root_relative_squared_error: 0.6842, scimark_benchmark: 1337.5749, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.9302, kappa: 0.8247, kb_relative_information_score: 7135.6976, mean_absolute_error: 0.0253, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9301, predictive_accuracy: 0.931, prior_entropy: 1.2149, recall: 0.931, relative_absolute_error: 0.1885, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.144, root_relative_squared_error: 0.5576, scimark_benchmark: 1327.2954, usercpu_time_millis: 680, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9597, f_measure: 0.9078, kappa: 0.7725, kb_relative_information_score: 6302.2729, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9106, predictive_accuracy: 0.9097, prior_entropy: 1.2149, recall: 0.9097, relative_absolute_error: 0.3242, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.151, root_relative_squared_error: 0.5847, scimark_benchmark: 1151.6869, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9672, kappa: 0.9185, kb_relative_information_score: 7842.172, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9677, predictive_accuracy: 0.9678, prior_entropy: 1.2149, recall: 0.9678, relative_absolute_error: 0.1305, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0907, root_relative_squared_error: 0.3514, scimark_benchmark: 1354.3488, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.9272, kappa: 0.8223, kb_relative_information_score: 6956.1446, mean_absolute_error: 0.0344, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9331, predictive_accuracy: 0.9251, prior_entropy: 1.2149, recall: 0.9251, relative_absolute_error: 0.256, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1367, root_relative_squared_error: 0.5295, scimark_benchmark: 1322.7383, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.9272, kappa: 0.8223, kb_relative_information_score: 6956.1446, mean_absolute_error: 0.0344, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9331, predictive_accuracy: 0.9251, prior_entropy: 1.2149, recall: 0.9251, relative_absolute_error: 0.256, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1367, root_relative_squared_error: 0.5295, scimark_benchmark: 1312.2688, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6866, f_measure: 0.8133, kappa: 0.4866, kb_relative_information_score: 4544.23, mean_absolute_error: 0.0524, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.8482, predictive_accuracy: 0.8429, prior_entropy: 1.2149, recall: 0.8429, relative_absolute_error: 0.39, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2289, root_relative_squared_error: 0.8863, scimark_benchmark: 1347.993, usercpu_time_millis: 700, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9597, f_measure: 0.9078, kappa: 0.7725, kb_relative_information_score: 6302.2729, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9106, predictive_accuracy: 0.9097, prior_entropy: 1.2149, recall: 0.9097, relative_absolute_error: 0.3242, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.151, root_relative_squared_error: 0.5847, scimark_benchmark: 1261.7298, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.9272, kappa: 0.8223, kb_relative_information_score: 6956.1446, mean_absolute_error: 0.0344, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9331, predictive_accuracy: 0.9251, prior_entropy: 1.2149, recall: 0.9251, relative_absolute_error: 0.256, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1367, root_relative_squared_error: 0.5295, scimark_benchmark: 938.0414, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9512, kappa: 0.8773, kb_relative_information_score: 7030.0139, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9512, predictive_accuracy: 0.9513, prior_entropy: 1.2149, recall: 0.9513, relative_absolute_error: 0.2886, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1142, root_relative_squared_error: 0.4424, scimark_benchmark: 1326.8946, usercpu_time_millis: 1100, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.973, kappa: 0.9327, kb_relative_information_score: 7587.8333, mean_absolute_error: 0.0242, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9735, predictive_accuracy: 0.9736, prior_entropy: 1.2149, recall: 0.9736, relative_absolute_error: 0.1801, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0984, root_relative_squared_error: 0.3812, scimark_benchmark: 1322.7257, usercpu_time_millis: 2130, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 2020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9672, kappa: 0.9185, kb_relative_information_score: 7842.172, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9677, predictive_accuracy: 0.9678, prior_entropy: 1.2149, recall: 0.9678, relative_absolute_error: 0.1305, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0907, root_relative_squared_error: 0.3514, scimark_benchmark: 1322.7257, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9672, kappa: 0.9185, kb_relative_information_score: 7842.172, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9677, predictive_accuracy: 0.9678, prior_entropy: 1.2149, recall: 0.9678, relative_absolute_error: 0.1305, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0907, root_relative_squared_error: 0.3514, scimark_benchmark: 1322.7257, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6866, f_measure: 0.8133, kappa: 0.4866, kb_relative_information_score: 4544.23, mean_absolute_error: 0.0524, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.8482, predictive_accuracy: 0.8429, prior_entropy: 1.2149, recall: 0.8429, relative_absolute_error: 0.39, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2289, root_relative_squared_error: 0.8863, scimark_benchmark: 1327.3335, usercpu_time_millis: 720, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9512, kappa: 0.8773, kb_relative_information_score: 7030.0139, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9512, predictive_accuracy: 0.9513, prior_entropy: 1.2149, recall: 0.9513, relative_absolute_error: 0.2886, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1142, root_relative_squared_error: 0.4424, scimark_benchmark: 1260.1387, usercpu_time_millis: 1090, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9672, kappa: 0.9185, kb_relative_information_score: 7842.172, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9677, predictive_accuracy: 0.9678, prior_entropy: 1.2149, recall: 0.9678, relative_absolute_error: 0.1305, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0907, root_relative_squared_error: 0.3514, scimark_benchmark: 1362.9924, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9672, kappa: 0.9185, kb_relative_information_score: 7842.172, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9677, predictive_accuracy: 0.9678, prior_entropy: 1.2149, recall: 0.9678, relative_absolute_error: 0.1305, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0907, root_relative_squared_error: 0.3514, scimark_benchmark: 1360.6367, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6866, f_measure: 0.8133, kappa: 0.4866, kb_relative_information_score: 4544.23, mean_absolute_error: 0.0524, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.8482, predictive_accuracy: 0.8429, prior_entropy: 1.2149, recall: 0.8429, relative_absolute_error: 0.39, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2289, root_relative_squared_error: 0.8863, scimark_benchmark: 1327.6367, usercpu_time_millis: 730, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9597, f_measure: 0.9078, kappa: 0.7725, kb_relative_information_score: 6302.2729, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9106, predictive_accuracy: 0.9097, prior_entropy: 1.2149, recall: 0.9097, relative_absolute_error: 0.3242, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.151, root_relative_squared_error: 0.5847, scimark_benchmark: 1325.6322, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9512, kappa: 0.8773, kb_relative_information_score: 7030.0139, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9512, predictive_accuracy: 0.9513, prior_entropy: 1.2149, recall: 0.9513, relative_absolute_error: 0.2886, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1142, root_relative_squared_error: 0.4424, scimark_benchmark: 1344.7524, usercpu_time_millis: 870, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 730,

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