Task
Supervised Classification on sick

Supervised Classification on sick

Task 3021 Supervised Classification sick 16669 runs submitted
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  • mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9389, build_cpu_time: 0.0924, build_memory: 708047561.474, f_measure: 0.957, kappa: 0.599, kb_relative_information_score: 1934.7017, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9562, predictive_accuracy: 0.9602, prior_entropy: 0.3333, recall: 0.9602, relative_absolute_error: 0.378, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1819, root_relative_squared_error: 0.7585, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9516, build_cpu_time: 0.1661, build_memory: 1097241026.9523, f_measure: 0.9643, kappa: 0.6746, kb_relative_information_score: 2194.8837, mean_absolute_error: 0.0359, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9637, predictive_accuracy: 0.9661, prior_entropy: 0.3333, recall: 0.9661, relative_absolute_error: 0.3118, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1692, root_relative_squared_error: 0.7057, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9501, build_cpu_time: 0.3824, build_memory: 595720284.8484, f_measure: 0.9627, kappa: 0.6608, kb_relative_information_score: 2164.8306, mean_absolute_error: 0.0359, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.962, predictive_accuracy: 0.9645, prior_entropy: 0.3333, recall: 0.9645, relative_absolute_error: 0.3115, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1767, root_relative_squared_error: 0.7369, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.939, build_cpu_time: 0.6007, build_memory: 585153264.6341, f_measure: 0.9646, kappa: 0.6789, kb_relative_information_score: 2147.7163, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9639, predictive_accuracy: 0.9661, prior_entropy: 0.3333, recall: 0.9661, relative_absolute_error: 0.3044, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1775, root_relative_squared_error: 0.7404, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9079, build_cpu_time: 1.3006, build_memory: 659177237.6819, f_measure: 0.9624, kappa: 0.6615, kb_relative_information_score: 2104.5743, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9616, predictive_accuracy: 0.9637, prior_entropy: 0.3333, recall: 0.9637, relative_absolute_error: 0.313, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1853, root_relative_squared_error: 0.773, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, build_cpu_time: 1.1134, build_memory: 2718468596.4284, f_measure: 0.9834, kappa: 0.8501, kb_relative_information_score: 2518.4635, mean_absolute_error: 0.0327, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9837, predictive_accuracy: 0.9841, prior_entropy: 0.3333, recall: 0.9841, relative_absolute_error: 0.2835, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1093, root_relative_squared_error: 0.456, scimark_benchmark: 937.5757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, build_cpu_time: 1.0416, build_memory: 1606653786.28, f_measure: 0.9834, kappa: 0.8501, kb_relative_information_score: 2518.4635, mean_absolute_error: 0.0327, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9837, predictive_accuracy: 0.9841, prior_entropy: 0.3333, recall: 0.9841, relative_absolute_error: 0.2835, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1093, root_relative_squared_error: 0.456, scimark_benchmark: 942.3945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, build_cpu_time: 0.8118, build_memory: 1493501256.3415, f_measure: 0.9834, kappa: 0.8501, kb_relative_information_score: 2518.4635, mean_absolute_error: 0.0327, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9837, predictive_accuracy: 0.9841, prior_entropy: 0.3333, recall: 0.9841, relative_absolute_error: 0.2835, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1093, root_relative_squared_error: 0.456, scimark_benchmark: 872.1114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, build_cpu_time: 1.09, build_memory: 2324582327.2004, f_measure: 0.9834, kappa: 0.8501, kb_relative_information_score: 2518.4635, mean_absolute_error: 0.0327, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9837, predictive_accuracy: 0.9841, prior_entropy: 0.3333, recall: 0.9841, relative_absolute_error: 0.2835, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1093, root_relative_squared_error: 0.456, scimark_benchmark: 924.9295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, build_cpu_time: 0.8507, build_memory: 1338674185.1092, f_measure: 0.9834, kappa: 0.8501, kb_relative_information_score: 2518.4635, mean_absolute_error: 0.0327, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9837, predictive_accuracy: 0.9841, prior_entropy: 0.3333, recall: 0.9841, relative_absolute_error: 0.2835, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1093, root_relative_squared_error: 0.456, scimark_benchmark: 939.9709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9013, build_cpu_time: 0.1172, build_memory: 1071510605.3107, f_measure: 0.9778, kappa: 0.8021, kb_relative_information_score: 2699.0084, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9775, predictive_accuracy: 0.9783, prior_entropy: 0.3333, recall: 0.9783, relative_absolute_error: 0.1983, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1474, root_relative_squared_error: 0.6146, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8908, build_cpu_time: 0.1742, build_memory: 510514643.5143, f_measure: 0.9781, kappa: 0.8058, kb_relative_information_score: 2708.4851, mean_absolute_error: 0.0227, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9779, predictive_accuracy: 0.9785, prior_entropy: 0.3333, recall: 0.9785, relative_absolute_error: 0.1968, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1468, root_relative_squared_error: 0.612, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8911, build_cpu_time: 0.3844, build_memory: 453699605.8558, f_measure: 0.9783, kappa: 0.807, kb_relative_information_score: 2708.565, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9781, predictive_accuracy: 0.9788, prior_entropy: 0.3333, recall: 0.9788, relative_absolute_error: 0.1955, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1462, root_relative_squared_error: 0.6097, scimark_benchmark: 935.6292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.887, build_cpu_time: 0.6261, build_memory: 807949671.8367, f_measure: 0.9786, kappa: 0.8098, kb_relative_information_score: 2729.7211, mean_absolute_error: 0.0221, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9784, predictive_accuracy: 0.9791, prior_entropy: 0.3333, recall: 0.9791, relative_absolute_error: 0.1914, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1451, root_relative_squared_error: 0.605, scimark_benchmark: 925.7673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8935, build_cpu_time: 1.2421, build_memory: 425184541.7964, f_measure: 0.9791, kappa: 0.8146, kb_relative_information_score: 2754.0632, mean_absolute_error: 0.0215, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9789, predictive_accuracy: 0.9796, prior_entropy: 0.3333, recall: 0.9796, relative_absolute_error: 0.187, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1434, root_relative_squared_error: 0.5979, scimark_benchmark: 877.9084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9631, build_cpu_time: 5.1715, build_memory: 250008699.6861, f_measure: 0.9879, kappa: 0.893, kb_relative_information_score: 3224.0668, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9878, predictive_accuracy: 0.9881, prior_entropy: 0.3333, recall: 0.9881, relative_absolute_error: 0.1029, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1068, root_relative_squared_error: 0.4455, scimark_benchmark: 920.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, build_cpu_time: 3.1555, build_memory: 946273248.5896, f_measure: 0.9882, kappa: 0.8956, kb_relative_information_score: 3230.3436, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9881, predictive_accuracy: 0.9883, prior_entropy: 0.3333, recall: 0.9883, relative_absolute_error: 0.1025, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1058, root_relative_squared_error: 0.4411, scimark_benchmark: 947.2691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, build_cpu_time: 2.5787, build_memory: 727188348.2248, f_measure: 0.9874, kappa: 0.8892, kb_relative_information_score: 3202.6979, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9873, predictive_accuracy: 0.9875, prior_entropy: 0.3333, recall: 0.9875, relative_absolute_error: 0.1086, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.108, root_relative_squared_error: 0.4504, scimark_benchmark: 932.9956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, build_cpu_time: 1.0989, build_memory: 730438328.7805, f_measure: 0.9877, kappa: 0.8922, kb_relative_information_score: 3205.682, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9876, predictive_accuracy: 0.9878, prior_entropy: 0.3333, recall: 0.9878, relative_absolute_error: 0.1048, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1051, root_relative_squared_error: 0.4381, scimark_benchmark: 926.4124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, build_cpu_time: 0.4188, build_memory: 241082254.3648, f_measure: 0.9877, kappa: 0.8922, kb_relative_information_score: 3216.0313, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9876, predictive_accuracy: 0.9878, prior_entropy: 0.3333, recall: 0.9878, relative_absolute_error: 0.1041, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1035, root_relative_squared_error: 0.4317, scimark_benchmark: 926.9332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9392, build_cpu_time: 7.5843, build_memory: 725298424.9162, f_measure: 0.9476, kappa: 0.543, kb_relative_information_score: 92.642, mean_absolute_error: 0.0699, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9475, predictive_accuracy: 0.9478, prior_entropy: 0.3333, recall: 0.9478, relative_absolute_error: 0.6066, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1946, root_relative_squared_error: 0.8114, scimark_benchmark: 943.678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9411, build_cpu_time: 12.3523, build_memory: 1917472101.3362, f_measure: 0.9466, kappa: 0.543, kb_relative_information_score: 78.4114, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9475, predictive_accuracy: 0.9457, prior_entropy: 0.3333, recall: 0.9457, relative_absolute_error: 0.6073, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1948, root_relative_squared_error: 0.8125, scimark_benchmark: 929.9115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9409, build_cpu_time: 16.1221, build_memory: 893966106.755, f_measure: 0.9475, kappa: 0.5435, kb_relative_information_score: 87.1017, mean_absolute_error: 0.0698, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9475, predictive_accuracy: 0.9475, prior_entropy: 0.3333, recall: 0.9475, relative_absolute_error: 0.6059, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1945, root_relative_squared_error: 0.8111, scimark_benchmark: 907.1899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9411, build_cpu_time: 25.0706, build_memory: 565896385.3425, f_measure: 0.9475, kappa: 0.5435, kb_relative_information_score: 86.2041, mean_absolute_error: 0.0698, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9475, predictive_accuracy: 0.9475, prior_entropy: 0.3333, recall: 0.9475, relative_absolute_error: 0.606, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1945, root_relative_squared_error: 0.8112, scimark_benchmark: 936.5273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9412, build_cpu_time: 24.4101, build_memory: 323195654.6257, f_measure: 0.9477, kappa: 0.5471, kb_relative_information_score: 86.1746, mean_absolute_error: 0.0698, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9479, predictive_accuracy: 0.9475, prior_entropy: 0.3333, recall: 0.9475, relative_absolute_error: 0.606, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1945, root_relative_squared_error: 0.8113, scimark_benchmark: 931.6517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9091, kb_relative_information_score: 909.0798, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.8813, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 0.5317, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2475, root_relative_squared_error: 1.0321, scimark_benchmark: 915.2795, usercpu_time_millis: 7650, usercpu_time_millis_testing: 1200, usercpu_time_millis_training: 6450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, f_measure: 0.974, kappa: 0.7758, kb_relative_information_score: 1907.0601, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9743, predictive_accuracy: 0.9738, prior_entropy: 0.3333, recall: 0.9738, relative_absolute_error: 0.3476, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1482, root_relative_squared_error: 0.6182, scimark_benchmark: 904.3001, usercpu_time_millis: 820, usercpu_time_millis_testing: 690, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9877, kappa: 0.8917, kb_relative_information_score: 3166.5173, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9876, predictive_accuracy: 0.9878, prior_entropy: 0.3333, recall: 0.9878, relative_absolute_error: 0.1113, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1008, root_relative_squared_error: 0.4203, scimark_benchmark: 935.8986, usercpu_time_millis: 1650, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.9884, kappa: 0.8978, kb_relative_information_score: 3219.032, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9884, predictive_accuracy: 0.9886, prior_entropy: 0.3333, recall: 0.9886, relative_absolute_error: 0.0992, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1036, root_relative_squared_error: 0.4319, scimark_benchmark: 941.8057, usercpu_time_millis: 10930, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.953, f_measure: 0.9903, kappa: 0.9149, kb_relative_information_score: 3324.7071, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9903, predictive_accuracy: 0.9905, prior_entropy: 0.3333, recall: 0.9905, relative_absolute_error: 0.082, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0969, root_relative_squared_error: 0.404, scimark_benchmark: 947.0793, usercpu_time_millis: 21620, usercpu_time_millis_testing: 560, usercpu_time_millis_training: 21060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9531, f_measure: 0.9906, kappa: 0.9175, kb_relative_information_score: 3335.473, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9906, predictive_accuracy: 0.9907, prior_entropy: 0.3333, recall: 0.9907, relative_absolute_error: 0.0799, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0956, root_relative_squared_error: 0.3988, scimark_benchmark: 915.2795, usercpu_time_millis: 9910, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 9630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9554, f_measure: 0.9901, kappa: 0.9124, kb_relative_information_score: 3302.4382, mean_absolute_error: 0.0098, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.99, predictive_accuracy: 0.9902, prior_entropy: 0.3333, recall: 0.9902, relative_absolute_error: 0.0854, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0981, root_relative_squared_error: 0.4092, scimark_benchmark: 915.2795, usercpu_time_millis: 4660, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 4520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9211, f_measure: 0.9679, kappa: 0.742, kb_relative_information_score: 1869.1956, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9725, predictive_accuracy: 0.9655, prior_entropy: 0.3333, recall: 0.9655, relative_absolute_error: 0.4342, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1587, root_relative_squared_error: 0.662, scimark_benchmark: 947.9494, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.958, f_measure: 0.9856, kappa: 0.874, kb_relative_information_score: 3018.4123, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9855, predictive_accuracy: 0.9857, prior_entropy: 0.3333, recall: 0.9857, relative_absolute_error: 0.151, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1131, root_relative_squared_error: 0.4715, scimark_benchmark: 901.0726, usercpu_time_millis: 120, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9091, kb_relative_information_score: 909.0798, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.8813, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 0.5317, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2475, root_relative_squared_error: 1.0321, scimark_benchmark: 933.8635, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9638, f_measure: 0.9783, kappa: 0.8143, kb_relative_information_score: 2270.7691, mean_absolute_error: 0.0401, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9788, predictive_accuracy: 0.978, prior_entropy: 0.3333, recall: 0.978, relative_absolute_error: 0.3478, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.135, root_relative_squared_error: 0.5629, scimark_benchmark: 901.0726, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9307, f_measure: 0.9711, kappa: 0.7526, kb_relative_information_score: -1627.1379, mean_absolute_error: 0.0896, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9717, predictive_accuracy: 0.9706, prior_entropy: 0.3333, recall: 0.9706, relative_absolute_error: 0.7777, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1649, root_relative_squared_error: 0.6876, scimark_benchmark: 943.6956, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9622, f_measure: 0.9679, kappa: 0.742, kb_relative_information_score: 2157.2615, mean_absolute_error: 0.0344, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9725, predictive_accuracy: 0.9655, prior_entropy: 0.3333, recall: 0.9655, relative_absolute_error: 0.2987, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1847, root_relative_squared_error: 0.7701, scimark_benchmark: 938.4285, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.9731, kappa: 0.7695, kb_relative_information_score: 2494.8045, mean_absolute_error: 0.0277, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9736, predictive_accuracy: 0.9727, prior_entropy: 0.3333, recall: 0.9727, relative_absolute_error: 0.2409, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1527, root_relative_squared_error: 0.6368, scimark_benchmark: 923.7642, usercpu_time_millis: 800, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9628, f_measure: 0.9744, kappa: 0.7859, kb_relative_information_score: 2450.5715, mean_absolute_error: 0.027, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.976, predictive_accuracy: 0.9735, prior_entropy: 0.3333, recall: 0.9735, relative_absolute_error: 0.2348, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1565, root_relative_squared_error: 0.6529, scimark_benchmark: 911.3823, usercpu_time_millis: 1600, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1580,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, f_measure: 0.9633, kappa: 0.6607, kb_relative_information_score: 1060.7554, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.963, predictive_accuracy: 0.9658, prior_entropy: 0.3333, recall: 0.9658, relative_absolute_error: 0.483, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1647, root_relative_squared_error: 0.6869, scimark_benchmark: 908.2231, usercpu_time_millis: 1210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9091, kb_relative_information_score: 909.0798, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.8813, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 0.5317, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2475, root_relative_squared_error: 1.0321, scimark_benchmark: 1369.9744, usercpu_time_millis: 470, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9091, kb_relative_information_score: 909.0798, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.8813, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 0.5317, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2475, root_relative_squared_error: 1.0321, scimark_benchmark: 932.5646, usercpu_time_millis: 5270, usercpu_time_millis_testing: 660, usercpu_time_millis_training: 4610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6746, f_measure: 0.9438, kappa: 0.4514, kb_relative_information_score: 1489.4731, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9434, predictive_accuracy: 0.9512, prior_entropy: 0.3333, recall: 0.9512, relative_absolute_error: 0.4235, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2209, root_relative_squared_error: 0.9211, scimark_benchmark: 1363.454, usercpu_time_millis: 500, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8721, f_measure: 0.9566, kappa: 0.5953, kb_relative_information_score: 1401.3751, mean_absolute_error: 0.0465, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9559, predictive_accuracy: 0.96, prior_entropy: 0.3333, recall: 0.96, relative_absolute_error: 0.4035, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1776, root_relative_squared_error: 0.7407, scimark_benchmark: 1335.643, usercpu_time_millis: 3660, usercpu_time_millis_testing: 3660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9004, f_measure: 0.9582, kappa: 0.5995, kb_relative_information_score: 1059.4474, mean_absolute_error: 0.0497, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9591, predictive_accuracy: 0.9626, prior_entropy: 0.3333, recall: 0.9626, relative_absolute_error: 0.4318, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1701, root_relative_squared_error: 0.7095, scimark_benchmark: 916.6405, usercpu_time_millis: 11770, usercpu_time_millis_testing: 11770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.9703, kappa: 0.7418, kb_relative_information_score: 2106.1917, mean_absolute_error: 0.0396, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9703, predictive_accuracy: 0.9703, prior_entropy: 0.3333, recall: 0.9703, relative_absolute_error: 0.3437, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1475, root_relative_squared_error: 0.6151, scimark_benchmark: 825.5282, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.971, kappa: 0.7448, kb_relative_information_score: 2191.8297, mean_absolute_error: 0.0381, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9707, predictive_accuracy: 0.9714, prior_entropy: 0.3333, recall: 0.9714, relative_absolute_error: 0.3307, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1443, root_relative_squared_error: 0.6019, scimark_benchmark: 930.5999, usercpu_time_millis: 280, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9721, kappa: 0.7553, kb_relative_information_score: 2239.1906, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9719, predictive_accuracy: 0.9724, prior_entropy: 0.3333, recall: 0.9724, relative_absolute_error: 0.3228, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1442, root_relative_squared_error: 0.6016, scimark_benchmark: 1442.7264, usercpu_time_millis: 360, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9739, kappa: 0.7713, kb_relative_information_score: 2272.0696, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9737, predictive_accuracy: 0.974, prior_entropy: 0.3333, recall: 0.974, relative_absolute_error: 0.3167, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1432, root_relative_squared_error: 0.5971, scimark_benchmark: 942.6843, usercpu_time_millis: 810, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9741, kappa: 0.7731, kb_relative_information_score: 2340.5692, mean_absolute_error: 0.0347, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9739, predictive_accuracy: 0.9743, prior_entropy: 0.3333, recall: 0.9743, relative_absolute_error: 0.3013, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1404, root_relative_squared_error: 0.5856, scimark_benchmark: 915.9693, usercpu_time_millis: 1660, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9205, f_measure: 0.9753, kappa: 0.7851, kb_relative_information_score: 2050.9431, mean_absolute_error: 0.0446, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9753, predictive_accuracy: 0.9753, prior_entropy: 0.3333, recall: 0.9753, relative_absolute_error: 0.3874, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1452, root_relative_squared_error: 0.6057, scimark_benchmark: 869.6028, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9875, kappa: 0.8885, kb_relative_information_score: 2877.9457, mean_absolute_error: 0.021, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9875, predictive_accuracy: 0.9878, prior_entropy: 0.3333, recall: 0.9878, relative_absolute_error: 0.1826, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0979, root_relative_squared_error: 0.4081, scimark_benchmark: 1384.4418, usercpu_time_millis: 350, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9676, f_measure: 0.9784, kappa: 0.8132, kb_relative_information_score: 2317.2251, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9785, predictive_accuracy: 0.9783, prior_entropy: 0.3333, recall: 0.9783, relative_absolute_error: 0.3367, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1336, root_relative_squared_error: 0.5572, scimark_benchmark: 1313.5726, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.9788, kappa: 0.8155, kb_relative_information_score: 2379.0488, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9788, predictive_accuracy: 0.9788, prior_entropy: 0.3333, recall: 0.9788, relative_absolute_error: 0.3123, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1318, root_relative_squared_error: 0.5498, scimark_benchmark: 1313.5726, usercpu_time_millis: 180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.9779, kappa: 0.8086, kb_relative_information_score: 2410.0069, mean_absolute_error: 0.0339, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.978, predictive_accuracy: 0.9777, prior_entropy: 0.3333, recall: 0.9777, relative_absolute_error: 0.2945, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1317, root_relative_squared_error: 0.5492, scimark_benchmark: 1320.2556, usercpu_time_millis: 340, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9594, kappa: 0.5977, kb_relative_information_score: 1612.5813, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9661, predictive_accuracy: 0.9655, prior_entropy: 0.3333, recall: 0.9655, relative_absolute_error: 0.5713, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.149, root_relative_squared_error: 0.6215, scimark_benchmark: 938.9967, usercpu_time_millis: 310, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9806, kappa: 0.8328, kb_relative_information_score: 1993.4232, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9808, predictive_accuracy: 0.9804, prior_entropy: 0.3333, recall: 0.9804, relative_absolute_error: 0.3468, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1179, root_relative_squared_error: 0.4916, scimark_benchmark: 1299.5783, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4979, f_measure: 0.9091, kb_relative_information_score: -10.937, mean_absolute_error: 0.1152, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.8813, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2398, root_relative_squared_error: 1, scimark_benchmark: 1339.4189, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.905, f_measure: 0.9768, kappa: 0.7974, kb_relative_information_score: 2422.3152, mean_absolute_error: 0.0353, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9767, predictive_accuracy: 0.9769, prior_entropy: 0.3333, recall: 0.9769, relative_absolute_error: 0.3066, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1415, root_relative_squared_error: 0.5903, scimark_benchmark: 918.6005, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9843, kappa: 0.8579, kb_relative_information_score: 2854.3354, mean_absolute_error: 0.0219, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9845, predictive_accuracy: 0.9849, prior_entropy: 0.3333, recall: 0.9849, relative_absolute_error: 0.1905, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0989, root_relative_squared_error: 0.4125, scimark_benchmark: 1327.9952, usercpu_time_millis: 570, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9568, kappa: 0.5674, kb_relative_information_score: 1567.2944, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9653, predictive_accuracy: 0.9639, prior_entropy: 0.3333, recall: 0.9639, relative_absolute_error: 0.592, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1523, root_relative_squared_error: 0.6352, scimark_benchmark: 1341.8761, usercpu_time_millis: 3260, usercpu_time_millis_testing: 380, usercpu_time_millis_training: 2880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.9794, kappa: 0.8139, kb_relative_information_score: 1982.9642, mean_absolute_error: 0.0394, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9793, predictive_accuracy: 0.9801, prior_entropy: 0.3333, recall: 0.9801, relative_absolute_error: 0.342, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1212, root_relative_squared_error: 0.5056, scimark_benchmark: 1332.2926, usercpu_time_millis: 910, usercpu_time_millis_training: 910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.9794, kappa: 0.8139, kb_relative_information_score: 1982.9642, mean_absolute_error: 0.0394, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9793, predictive_accuracy: 0.9801, prior_entropy: 0.3333, recall: 0.9801, relative_absolute_error: 0.342, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1212, root_relative_squared_error: 0.5056, scimark_benchmark: 1341.7207, usercpu_time_millis: 990, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.921, f_measure: 0.9679, kappa: 0.742, kb_relative_information_score: 1866.226, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9725, predictive_accuracy: 0.9655, prior_entropy: 0.3333, recall: 0.9655, relative_absolute_error: 0.4354, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1587, root_relative_squared_error: 0.6617, scimark_benchmark: 1326.6647, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.947, f_measure: 0.9756, kappa: 0.7902, kb_relative_information_score: 1838.7385, mean_absolute_error: 0.0475, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9759, predictive_accuracy: 0.9753, prior_entropy: 0.3333, recall: 0.9753, relative_absolute_error: 0.4127, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1462, root_relative_squared_error: 0.6099, scimark_benchmark: 1329.0992, usercpu_time_millis: 630, usercpu_time_millis_training: 630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8058, f_measure: 0.9609, kappa: 0.6497, kb_relative_information_score: 1995.7737, mean_absolute_error: 0.0379, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9601, predictive_accuracy: 0.9621, prior_entropy: 0.3333, recall: 0.9621, relative_absolute_error: 0.3291, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1947, root_relative_squared_error: 0.8121, scimark_benchmark: 1352.1951, usercpu_time_millis: 4860, usercpu_time_millis_testing: 4860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9387, f_measure: 0.9653, kappa: 0.6809, kb_relative_information_score: 1153.6325, mean_absolute_error: 0.054, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9649, predictive_accuracy: 0.9674, prior_entropy: 0.3333, recall: 0.9674, relative_absolute_error: 0.4685, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1637, root_relative_squared_error: 0.6828, scimark_benchmark: 1323.976, usercpu_time_millis: 320, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8955, f_measure: 0.9113, kappa: 0.0301, kb_relative_information_score: -2837.3308, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9172, predictive_accuracy: 0.939, prior_entropy: 0.3333, recall: 0.939, relative_absolute_error: 1.0029, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2159, root_relative_squared_error: 0.9003, scimark_benchmark: 937.5996, usercpu_time_millis: 170, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7175, f_measure: 0.954, kappa: 0.5538, kb_relative_information_score: 1884.6345, mean_absolute_error: 0.0403, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9555, predictive_accuracy: 0.9597, prior_entropy: 0.3333, recall: 0.9597, relative_absolute_error: 0.3498, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2007, root_relative_squared_error: 0.8372, scimark_benchmark: 1319.9329, usercpu_time_millis: 330, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 320,

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