Task
Supervised Classification on sick

Supervised Classification on sick

Task 3043 Supervised Classification sick 337 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9502, build_cpu_time: 2.082, build_memory: 1025423160, f_measure: 0.984, kappa: 0.8644, kb_relative_information_score: 1064.3613, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9845, predictive_accuracy: 0.9847, prior_entropy: 0.3333, recall: 0.9847, relative_absolute_error: 0.1338, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.123, root_relative_squared_error: 0.4956, scimark_benchmark: 942.4851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9502, build_cpu_time: 3.933, build_memory: 809116696, f_measure: 0.984, kappa: 0.8644, kb_relative_information_score: 1064.3613, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9845, predictive_accuracy: 0.9847, prior_entropy: 0.3333, recall: 0.9847, relative_absolute_error: 0.1338, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.123, root_relative_squared_error: 0.4956, scimark_benchmark: 943.1654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9502, build_cpu_time: 7.307, build_memory: 553808832, f_measure: 0.9859, kappa: 0.8816, kb_relative_information_score: 1089.3615, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9861, predictive_accuracy: 0.9863, prior_entropy: 0.3333, recall: 0.9863, relative_absolute_error: 0.1191, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1166, root_relative_squared_error: 0.47, scimark_benchmark: 945.0342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9424, build_cpu_time: 0.139, build_memory: 1659232000, f_measure: 0.9645, kappa: 0.6854, kb_relative_information_score: 840.6237, mean_absolute_error: 0.0339, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9662, predictive_accuracy: 0.9678, prior_entropy: 0.3333, recall: 0.9678, relative_absolute_error: 0.284, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1681, root_relative_squared_error: 0.6774, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9392, build_cpu_time: 0.404, build_memory: 477167056, f_measure: 0.964, kappa: 0.684, kb_relative_information_score: 844.6477, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9649, predictive_accuracy: 0.967, prior_entropy: 0.3333, recall: 0.967, relative_absolute_error: 0.2708, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1705, root_relative_squared_error: 0.687, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8964, build_cpu_time: 0.981, build_memory: 335465040, f_measure: 0.9685, kappa: 0.7244, kb_relative_information_score: 869.2635, mean_absolute_error: 0.029, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9697, predictive_accuracy: 0.9711, prior_entropy: 0.3333, recall: 0.9711, relative_absolute_error: 0.243, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1678, root_relative_squared_error: 0.676, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, build_cpu_time: 0.803, build_memory: 2992551760, f_measure: 0.9757, kappa: 0.7884, kb_relative_information_score: 880.7093, mean_absolute_error: 0.0357, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9773, predictive_accuracy: 0.9775, prior_entropy: 0.3333, recall: 0.9775, relative_absolute_error: 0.2991, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1248, root_relative_squared_error: 0.503, scimark_benchmark: 937.5757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, build_cpu_time: 0.785, build_memory: 2001430160, f_measure: 0.9757, kappa: 0.7884, kb_relative_information_score: 880.7093, mean_absolute_error: 0.0357, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9773, predictive_accuracy: 0.9775, prior_entropy: 0.3333, recall: 0.9775, relative_absolute_error: 0.2991, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1248, root_relative_squared_error: 0.503, scimark_benchmark: 942.3945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9299, build_cpu_time: 0.427, build_memory: 1136678912, f_measure: 0.946, kappa: 0.6023, kb_relative_information_score: -132.9602, mean_absolute_error: 0.0784, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9538, predictive_accuracy: 0.9413, prior_entropy: 0.3333, recall: 0.9413, relative_absolute_error: 0.6575, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.2, root_relative_squared_error: 0.8057, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9299, build_cpu_time: 0.485, build_memory: 739121784, f_measure: 0.946, kappa: 0.6023, kb_relative_information_score: -132.9602, mean_absolute_error: 0.0784, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9538, predictive_accuracy: 0.9413, prior_entropy: 0.3333, recall: 0.9413, relative_absolute_error: 0.6575, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.2, root_relative_squared_error: 0.8057, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9299, build_cpu_time: 0.433, build_memory: 1292825760, f_measure: 0.946, kappa: 0.6023, kb_relative_information_score: -132.9602, mean_absolute_error: 0.0784, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9538, predictive_accuracy: 0.9413, prior_entropy: 0.3333, recall: 0.9413, relative_absolute_error: 0.6575, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.2, root_relative_squared_error: 0.8057, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9377, build_cpu_time: 0.067, build_memory: 282593496, f_measure: 0.9634, kappa: 0.6753, kb_relative_information_score: 826.8078, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9654, predictive_accuracy: 0.967, prior_entropy: 0.3333, recall: 0.967, relative_absolute_error: 0.3092, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1661, root_relative_squared_error: 0.6693, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9299, build_cpu_time: 0.423, build_memory: 373369376, f_measure: 0.946, kappa: 0.6023, kb_relative_information_score: -132.9602, mean_absolute_error: 0.0784, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9538, predictive_accuracy: 0.9413, prior_entropy: 0.3333, recall: 0.9413, relative_absolute_error: 0.6575, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.2, root_relative_squared_error: 0.8057, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9146, build_cpu_time: 0.266, build_memory: 1077722248, f_measure: 0.9185, kappa: 0.4773, kb_relative_information_score: -370.2236, mean_absolute_error: 0.0999, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9458, predictive_accuracy: 0.9035, prior_entropy: 0.3333, recall: 0.9035, relative_absolute_error: 0.8378, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.2276, root_relative_squared_error: 0.9172, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9237, build_cpu_time: 0.47, build_memory: 266725712, f_measure: 0.9677, kappa: 0.7186, kb_relative_information_score: 857.3892, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9687, predictive_accuracy: 0.9703, prior_entropy: 0.3333, recall: 0.9703, relative_absolute_error: 0.2508, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1669, root_relative_squared_error: 0.6724, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9282, build_cpu_time: 8.284, build_memory: 841293728, f_measure: 0.9513, kappa: 0.5888, kb_relative_information_score: 364.2752, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9501, predictive_accuracy: 0.9534, prior_entropy: 0.3333, recall: 0.9534, relative_absolute_error: 0.4924, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1835, root_relative_squared_error: 0.7392, scimark_benchmark: 931.6517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9677, build_cpu_time: 1.299, build_memory: 155258216, f_measure: 0.976, kappa: 0.7939, kb_relative_information_score: 964.6073, mean_absolute_error: 0.0223, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9768, predictive_accuracy: 0.9775, prior_entropy: 0.3333, recall: 0.9775, relative_absolute_error: 0.187, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.148, root_relative_squared_error: 0.5964, scimark_benchmark: 945.0342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9677, build_cpu_time: 2.11, build_memory: 848414256, f_measure: 0.976, kappa: 0.7939, kb_relative_information_score: 964.6073, mean_absolute_error: 0.0223, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9768, predictive_accuracy: 0.9775, prior_entropy: 0.3333, recall: 0.9775, relative_absolute_error: 0.187, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.148, root_relative_squared_error: 0.5964, scimark_benchmark: 942.6202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9677, build_cpu_time: 2.119, build_memory: 1510054688, f_measure: 0.976, kappa: 0.7939, kb_relative_information_score: 964.6073, mean_absolute_error: 0.0223, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9768, predictive_accuracy: 0.9775, prior_entropy: 0.3333, recall: 0.9775, relative_absolute_error: 0.187, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.148, root_relative_squared_error: 0.5964, scimark_benchmark: 941.8931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9677, build_cpu_time: 2.506, build_memory: 844954760, f_measure: 0.976, kappa: 0.7939, kb_relative_information_score: 964.6073, mean_absolute_error: 0.0223, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9768, predictive_accuracy: 0.9775, prior_entropy: 0.3333, recall: 0.9775, relative_absolute_error: 0.187, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.148, root_relative_squared_error: 0.5964, scimark_benchmark: 920.6195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9442, build_cpu_time: 16.571, build_memory: 1695093984, f_measure: 0.9867, kappa: 0.8879, kb_relative_information_score: 1110.5327, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.987, predictive_accuracy: 0.9871, prior_entropy: 0.3333, recall: 0.9871, relative_absolute_error: 0.11, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1131, root_relative_squared_error: 0.4556, scimark_benchmark: 941.4198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9258, build_cpu_time: 21.934, build_memory: 922485088, f_measure: 0.9867, kappa: 0.8879, kb_relative_information_score: 1116.1131, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.987, predictive_accuracy: 0.9871, prior_entropy: 0.3333, recall: 0.9871, relative_absolute_error: 0.1089, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1122, root_relative_squared_error: 0.4522, scimark_benchmark: 944.0386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, build_cpu_time: 213.886, build_memory: 48106120, f_measure: 0.9895, kappa: 0.9137, kb_relative_information_score: 1074.7474, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9894, predictive_accuracy: 0.9896, prior_entropy: 0.3333, recall: 0.9896, relative_absolute_error: 0.135, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.0857, root_relative_squared_error: 0.3454, scimark_benchmark: 944.3501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, build_cpu_time: 109.071, build_memory: 32876400, f_measure: 0.9895, kappa: 0.9137, kb_relative_information_score: 1064.35, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9894, predictive_accuracy: 0.9896, prior_entropy: 0.3333, recall: 0.9896, relative_absolute_error: 0.1373, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.0868, root_relative_squared_error: 0.3499, scimark_benchmark: 939.0518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, build_cpu_time: 0.661, build_memory: 786078560, f_measure: 0.9822, kappa: 0.8483, kb_relative_information_score: 998.0688, mean_absolute_error: 0.0232, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9829, predictive_accuracy: 0.9831, prior_entropy: 0.3333, recall: 0.9831, relative_absolute_error: 0.1943, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1096, root_relative_squared_error: 0.4416, scimark_benchmark: 895.5351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, build_cpu_time: 0.907, build_memory: 781181208, f_measure: 0.9822, kappa: 0.8483, kb_relative_information_score: 998.0688, mean_absolute_error: 0.0232, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9829, predictive_accuracy: 0.9831, prior_entropy: 0.3333, recall: 0.9831, relative_absolute_error: 0.1943, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1096, root_relative_squared_error: 0.4416, scimark_benchmark: 944.0943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, build_cpu_time: 1.432, build_memory: 1023420712, f_measure: 0.9805, kappa: 0.8339, kb_relative_information_score: 1002.0327, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9811, predictive_accuracy: 0.9815, prior_entropy: 0.3333, recall: 0.9815, relative_absolute_error: 0.1969, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1101, root_relative_squared_error: 0.4436, scimark_benchmark: 913.8902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, build_cpu_time: 1.132, build_memory: 587473704, f_measure: 0.9805, kappa: 0.8339, kb_relative_information_score: 1002.0327, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9811, predictive_accuracy: 0.9815, prior_entropy: 0.3333, recall: 0.9815, relative_absolute_error: 0.1969, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1101, root_relative_squared_error: 0.4436, scimark_benchmark: 938.7911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, build_cpu_time: 0.012, build_memory: 892976928, f_measure: 0.9838, kappa: 0.8679, kb_relative_information_score: 1063.6618, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9838, predictive_accuracy: 0.9839, prior_entropy: 0.3333, recall: 0.9839, relative_absolute_error: 0.133, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.125, root_relative_squared_error: 0.5038, scimark_benchmark: 935.6292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, build_cpu_time: 0.017, build_memory: 671130272, f_measure: 0.9838, kappa: 0.8679, kb_relative_information_score: 1063.6618, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9838, predictive_accuracy: 0.9839, prior_entropy: 0.3333, recall: 0.9839, relative_absolute_error: 0.133, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.125, root_relative_squared_error: 0.5038, scimark_benchmark: 925.7673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9445, build_cpu_time: 7.078, build_memory: 195882144, f_measure: 0.9883, kappa: 0.9019, kb_relative_information_score: 1139.3062, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9887, predictive_accuracy: 0.9887, prior_entropy: 0.3333, recall: 0.9887, relative_absolute_error: 0.0935, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1043, root_relative_squared_error: 0.4205, scimark_benchmark: 918.9027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9622, build_cpu_time: 1.864, build_memory: 996906536, f_measure: 0.986, kappa: 0.8831, kb_relative_information_score: 1099.95, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.986, predictive_accuracy: 0.9863, prior_entropy: 0.3333, recall: 0.9863, relative_absolute_error: 0.1167, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1129, root_relative_squared_error: 0.455, scimark_benchmark: 940.5101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, build_cpu_time: 0.946, build_memory: 2578530256, f_measure: 0.9757, kappa: 0.7884, kb_relative_information_score: 880.7093, mean_absolute_error: 0.0357, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9773, predictive_accuracy: 0.9775, prior_entropy: 0.3333, recall: 0.9775, relative_absolute_error: 0.2991, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1248, root_relative_squared_error: 0.503, scimark_benchmark: 924.9295,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, build_cpu_time: 0.015, build_memory: 377914808, f_measure: 0.9838, kappa: 0.8679, kb_relative_information_score: 1063.6618, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9838, predictive_accuracy: 0.9839, prior_entropy: 0.3333, recall: 0.9839, relative_absolute_error: 0.133, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.125, root_relative_squared_error: 0.5038, scimark_benchmark: 939.084,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9561, f_measure: 0.9796, kappa: 0.832, kb_relative_information_score: 810.7457, mean_absolute_error: 0.0414, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9794, predictive_accuracy: 0.9799, prior_entropy: 0.3333, recall: 0.9799, relative_absolute_error: 0.3467, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.124, root_relative_squared_error: 0.4995, scimark_benchmark: 1320.9026, usercpu_time_millis: 900, usercpu_time_millis_training: 900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9444, f_measure: 0.9693, kappa: 0.7631, kb_relative_information_score: 708.1992, mean_absolute_error: 0.0495, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9719, predictive_accuracy: 0.9678, prior_entropy: 0.3333, recall: 0.9678, relative_absolute_error: 0.4148, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1585, root_relative_squared_error: 0.6388, scimark_benchmark: 1342.6911, usercpu_time_millis: 31310, usercpu_time_millis_testing: 31310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9022, kb_relative_information_score: 10.8682, mean_absolute_error: 0.1174, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.8725, predictive_accuracy: 0.9341, prior_entropy: 0.3333, recall: 0.9341, relative_absolute_error: 0.9841, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.2482, root_relative_squared_error: 1.0002, scimark_benchmark: 1327.2954, usercpu_time_millis: 90, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9355, f_measure: 0.9861, kappa: 0.8858, kb_relative_information_score: 1066.7751, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9861, predictive_accuracy: 0.9863, prior_entropy: 0.3333, recall: 0.9863, relative_absolute_error: 0.1332, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1148, root_relative_squared_error: 0.4625, scimark_benchmark: 894.7222, usercpu_time_millis: 1650, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9759, kappa: 0.7912, kb_relative_information_score: 887.8349, mean_absolute_error: 0.0366, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.977, predictive_accuracy: 0.9775, prior_entropy: 0.3333, recall: 0.9775, relative_absolute_error: 0.3066, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1247, root_relative_squared_error: 0.5025, scimark_benchmark: 942.9708, usercpu_time_millis: 1560, usercpu_time_millis_testing: 310, usercpu_time_millis_training: 1250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9759, kappa: 0.7912, kb_relative_information_score: 887.8349, mean_absolute_error: 0.0366, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.977, predictive_accuracy: 0.9775, prior_entropy: 0.3333, recall: 0.9775, relative_absolute_error: 0.3066, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1247, root_relative_squared_error: 0.5025, scimark_benchmark: 1336.2509, usercpu_time_millis: 770, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.975, kappa: 0.7899, kb_relative_information_score: 903.8853, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9748, predictive_accuracy: 0.9759, prior_entropy: 0.3333, recall: 0.9759, relative_absolute_error: 0.2648, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1408, root_relative_squared_error: 0.5673, scimark_benchmark: 1363.434, usercpu_time_millis: 1490, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9188, f_measure: 0.9709, kappa: 0.7563, kb_relative_information_score: 732.4275, mean_absolute_error: 0.046, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9705, predictive_accuracy: 0.9719, prior_entropy: 0.3333, recall: 0.9719, relative_absolute_error: 0.3856, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1582, root_relative_squared_error: 0.6374, scimark_benchmark: 882.7843, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8698, f_measure: 0.978, kappa: 0.8134, kb_relative_information_score: 988.1506, mean_absolute_error: 0.0209, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9784, predictive_accuracy: 0.9791, prior_entropy: 0.3333, recall: 0.9791, relative_absolute_error: 0.1752, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1446, root_relative_squared_error: 0.5825, scimark_benchmark: 1380.2233, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9678, f_measure: 0.9718, kappa: 0.7702, kb_relative_information_score: 849.9431, mean_absolute_error: 0.0304, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9717, predictive_accuracy: 0.9719, prior_entropy: 0.3333, recall: 0.9719, relative_absolute_error: 0.2551, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1538, root_relative_squared_error: 0.6199, scimark_benchmark: 1351.788, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.9687, kappa: 0.728, kb_relative_information_score: 633.9189, mean_absolute_error: 0.0436, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9696, predictive_accuracy: 0.9711, prior_entropy: 0.3333, recall: 0.9711, relative_absolute_error: 0.3656, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1596, root_relative_squared_error: 0.6431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9034, f_measure: 0.9677, kappa: 0.7186, kb_relative_information_score: 573.3516, mean_absolute_error: 0.0473, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9687, predictive_accuracy: 0.9703, prior_entropy: 0.3333, recall: 0.9703, relative_absolute_error: 0.3961, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1639, root_relative_squared_error: 0.6606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9026, f_measure: 0.9667, kappa: 0.7091, kb_relative_information_score: 585.6777, mean_absolute_error: 0.0468, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9678, predictive_accuracy: 0.9695, prior_entropy: 0.3333, recall: 0.9695, relative_absolute_error: 0.3919, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1642, root_relative_squared_error: 0.6618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9045, f_measure: 0.9667, kappa: 0.7091, kb_relative_information_score: 570.5142, mean_absolute_error: 0.0474, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9678, predictive_accuracy: 0.9695, prior_entropy: 0.3333, recall: 0.9695, relative_absolute_error: 0.3976, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1634, root_relative_squared_error: 0.6585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9039, f_measure: 0.9677, kappa: 0.7186, kb_relative_information_score: 576.4541, mean_absolute_error: 0.0465, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9687, predictive_accuracy: 0.9703, prior_entropy: 0.3333, recall: 0.9703, relative_absolute_error: 0.3897, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1624, root_relative_squared_error: 0.6542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.9667, kappa: 0.7091, kb_relative_information_score: 583.9198, mean_absolute_error: 0.0464, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9678, predictive_accuracy: 0.9695, prior_entropy: 0.3333, recall: 0.9695, relative_absolute_error: 0.3886, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1626, root_relative_squared_error: 0.6551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9088, f_measure: 0.9687, kappa: 0.728, kb_relative_information_score: 603.4687, mean_absolute_error: 0.0454, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9696, predictive_accuracy: 0.9711, prior_entropy: 0.3333, recall: 0.9711, relative_absolute_error: 0.3808, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1623, root_relative_squared_error: 0.6538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9089, f_measure: 0.9707, kappa: 0.7464, kb_relative_information_score: 622.7558, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9713, predictive_accuracy: 0.9727, prior_entropy: 0.3333, recall: 0.9727, relative_absolute_error: 0.3682, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1611, root_relative_squared_error: 0.6493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9106, f_measure: 0.9697, kappa: 0.7373, kb_relative_information_score: 628.8292, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9704, predictive_accuracy: 0.9719, prior_entropy: 0.3333, recall: 0.9719, relative_absolute_error: 0.3664, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1606, root_relative_squared_error: 0.647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9109, f_measure: 0.9707, kappa: 0.7464, kb_relative_information_score: 620.9825, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9713, predictive_accuracy: 0.9727, prior_entropy: 0.3333, recall: 0.9727, relative_absolute_error: 0.3681, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1602, root_relative_squared_error: 0.6455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9104, f_measure: 0.9707, kappa: 0.7464, kb_relative_information_score: 619.118, mean_absolute_error: 0.0441, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9713, predictive_accuracy: 0.9727, prior_entropy: 0.3333, recall: 0.9727, relative_absolute_error: 0.3698, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1601, root_relative_squared_error: 0.6452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.9707, kappa: 0.7464, kb_relative_information_score: 658.4314, mean_absolute_error: 0.0419, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9713, predictive_accuracy: 0.9727, prior_entropy: 0.3333, recall: 0.9727, relative_absolute_error: 0.3514, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1596, root_relative_squared_error: 0.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9139, f_measure: 0.9687, kappa: 0.728, kb_relative_information_score: 651.3165, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9696, predictive_accuracy: 0.9711, prior_entropy: 0.3333, recall: 0.9711, relative_absolute_error: 0.3548, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1594, root_relative_squared_error: 0.6422,

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