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OpenML
Task
Supervised Classification on sick

Supervised Classification on sick

Task 3021 Supervised Classification sick 16668 runs submitted
0 likes downloaded by 2 people , 2 total downloads 0 issues
Visibility: Public
  • 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
Issue #Downvotes for this reason By


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16668 Runs

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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: 0.6746, 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: 0.5, 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: 0.5, 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: 0.95, 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: 0.6301, f_measure: 0.9393, kappa: 0.3801, kb_relative_information_score: 1489.4731, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9454, 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: 942.9708, usercpu_time_millis: 400, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, f_measure: 0.9679, kappa: 0.7049, kb_relative_information_score: 1337.884, mean_absolute_error: 0.0503, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9677, predictive_accuracy: 0.9698, prior_entropy: 0.3333, recall: 0.9698, relative_absolute_error: 0.4365, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1559, root_relative_squared_error: 0.6502, scimark_benchmark: 940.0008, usercpu_time_millis: 1481120, usercpu_time_millis_testing: 4580, usercpu_time_millis_training: 1476540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9576, f_measure: 0.9721, kappa: 0.7643, kb_relative_information_score: 1334.3895, mean_absolute_error: 0.0459, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9732, predictive_accuracy: 0.9714, prior_entropy: 0.3333, recall: 0.9714, relative_absolute_error: 0.3988, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1636, root_relative_squared_error: 0.6824, scimark_benchmark: 1368.9272, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9319, f_measure: 0.9764, kappa: 0.792, kb_relative_information_score: 2362.8143, mean_absolute_error: 0.0301, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9762, predictive_accuracy: 0.9767, prior_entropy: 0.3333, recall: 0.9767, relative_absolute_error: 0.2613, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1432, root_relative_squared_error: 0.5971, scimark_benchmark: 1376.7478, usercpu_time_millis: 10860, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 10780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9815, kappa: 0.8323, kb_relative_information_score: 2464.4355, mean_absolute_error: 0.0335, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9816, predictive_accuracy: 0.9822, prior_entropy: 0.3333, recall: 0.9822, relative_absolute_error: 0.2913, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1116, root_relative_squared_error: 0.4652, scimark_benchmark: 1341.5768, usercpu_time_millis: 1050, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8286, f_measure: 0.9679, kappa: 0.7122, kb_relative_information_score: 2221.981, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9674, predictive_accuracy: 0.969, prior_entropy: 0.3333, recall: 0.969, relative_absolute_error: 0.2813, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1735, root_relative_squared_error: 0.7235, scimark_benchmark: 1316.0472, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9507, f_measure: 0.9851, kappa: 0.8681, kb_relative_information_score: 2729.9153, mean_absolute_error: 0.0229, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.985, predictive_accuracy: 0.9854, prior_entropy: 0.3333, recall: 0.9854, relative_absolute_error: 0.1987, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1159, root_relative_squared_error: 0.4833, scimark_benchmark: 1306.6379, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9498, f_measure: 0.9859, kappa: 0.875, kb_relative_information_score: 2972.5464, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9859, predictive_accuracy: 0.9862, prior_entropy: 0.3333, recall: 0.9862, relative_absolute_error: 0.1544, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1148, root_relative_squared_error: 0.4788, scimark_benchmark: 1290.1085, usercpu_time_millis: 1030, usercpu_time_millis_training: 1030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8232, f_measure: 0.9701, kappa: 0.7256, kb_relative_information_score: 2452.679, mean_absolute_error: 0.0281, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9701, predictive_accuracy: 0.9719, prior_entropy: 0.3333, recall: 0.9719, relative_absolute_error: 0.244, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1676, root_relative_squared_error: 0.6991, scimark_benchmark: 1386.5717, usercpu_time_millis: 1790, usercpu_time_millis_testing: 740, usercpu_time_millis_training: 1050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5525, f_measure: 0.8779, kappa: 0.0809, kb_relative_information_score: -2635.0241, mean_absolute_error: 0.1373, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.895, predictive_accuracy: 0.8627, prior_entropy: 0.3333, recall: 0.8627, relative_absolute_error: 1.1922, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.3706, root_relative_squared_error: 1.5455, scimark_benchmark: 1466.6185, usercpu_time_millis: 1230, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 1110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9513, f_measure: 0.9868, kappa: 0.8856, kb_relative_information_score: 3072.5274, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9869, predictive_accuracy: 0.9867, prior_entropy: 0.3333, recall: 0.9867, relative_absolute_error: 0.1343, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1058, root_relative_squared_error: 0.4414, scimark_benchmark: 1351.788, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8773, f_measure: 0.9646, kappa: 0.7034, kb_relative_information_score: 2057.5176, mean_absolute_error: 0.0366, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9664, predictive_accuracy: 0.9634, prior_entropy: 0.3333, recall: 0.9634, relative_absolute_error: 0.3176, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1913, root_relative_squared_error: 0.7977, scimark_benchmark: 1465.2979, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8893, f_measure: 0.9636, kappa: 0.6653, kb_relative_information_score: 2135.1311, mean_absolute_error: 0.0375, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9631, predictive_accuracy: 0.9658, prior_entropy: 0.3333, recall: 0.9658, relative_absolute_error: 0.3254, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1718, root_relative_squared_error: 0.7163, scimark_benchmark: 921.8984, usercpu_time_millis: 172930, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 172770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8693, f_measure: 0.9779, kappa: 0.8002, kb_relative_information_score: 2773.7477, mean_absolute_error: 0.0212, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9779, predictive_accuracy: 0.9788, prior_entropy: 0.3333, recall: 0.9788, relative_absolute_error: 0.1841, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1456, root_relative_squared_error: 0.6074, scimark_benchmark: 1345.5871, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
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: 1066.833,
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: 1028.5889, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9142, f_measure: 0.9439, kappa: 0.5325, kb_relative_information_score: 155.0533, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9467, predictive_accuracy: 0.9417, prior_entropy: 0.3333, recall: 0.9417, relative_absolute_error: 0.6391, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.8603, scimark_benchmark: 908.0036, usercpu_time_millis: 690, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9142, f_measure: 0.9439, kappa: 0.5325, kb_relative_information_score: 155.0533, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9467, predictive_accuracy: 0.9417, prior_entropy: 0.3333, recall: 0.9417, relative_absolute_error: 0.6391, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.8603, scimark_benchmark: 939.7623, usercpu_time_millis: 630, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9142, f_measure: 0.9439, kappa: 0.5325, kb_relative_information_score: 155.0533, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9467, predictive_accuracy: 0.9417, prior_entropy: 0.3333, recall: 0.9417, relative_absolute_error: 0.6391, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.8603, scimark_benchmark: 911.3823, usercpu_time_millis: 710, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 530,
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,
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: 0.9596, f_measure: 0.9735, kappa: 0.779, kb_relative_information_score: 2358.4536, mean_absolute_error: 0.0289, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9753, predictive_accuracy: 0.9724, prior_entropy: 0.3333, recall: 0.9724, relative_absolute_error: 0.2513, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1619, root_relative_squared_error: 0.6752, scimark_benchmark: 945.6434, usercpu_time_millis: 400, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9586, f_measure: 0.9704, kappa: 0.7474, kb_relative_information_score: 2266.7731, mean_absolute_error: 0.0309, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9711, predictive_accuracy: 0.9698, prior_entropy: 0.3333, recall: 0.9698, relative_absolute_error: 0.2686, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1607, root_relative_squared_error: 0.6704, scimark_benchmark: 938.2848, usercpu_time_millis: 220, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 210,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.977, kappa: 0.8006, kb_relative_information_score: 2478.0834, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9771, predictive_accuracy: 0.9769, prior_entropy: 0.3333, recall: 0.9769, relative_absolute_error: 0.2579, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1323, root_relative_squared_error: 0.5517, scimark_benchmark: 939.7623, usercpu_time_millis: 1320, usercpu_time_millis_training: 1320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.9799, kappa: 0.8262, kb_relative_information_score: 2471.9211, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.98, predictive_accuracy: 0.9799, prior_entropy: 0.3333, recall: 0.9799, relative_absolute_error: 0.2702, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1304, root_relative_squared_error: 0.5438, scimark_benchmark: 924.6116, usercpu_time_millis: 750, usercpu_time_millis_training: 750,
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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: 0.939, 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: 0.9501, 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,
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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: 0.915, build_cpu_time: 0.2817, build_memory: 606962298.0064, f_measure: 0.9439, kappa: 0.5325, kb_relative_information_score: 158.3456, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9467, predictive_accuracy: 0.9417, prior_entropy: 0.3333, recall: 0.9417, relative_absolute_error: 0.6383, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.206, root_relative_squared_error: 0.8591, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9142, build_cpu_time: 0.2882, build_memory: 1081997367.3659, f_measure: 0.9439, kappa: 0.5325, kb_relative_information_score: 155.0533, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9467, predictive_accuracy: 0.9417, prior_entropy: 0.3333, recall: 0.9417, relative_absolute_error: 0.6391, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.8603, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9142, build_cpu_time: 0.286, build_memory: 597359014.666, f_measure: 0.9439, kappa: 0.5325, kb_relative_information_score: 155.0533, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9467, predictive_accuracy: 0.9417, prior_entropy: 0.3333, recall: 0.9417, relative_absolute_error: 0.6391, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.8603, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9142, build_cpu_time: 0.2798, build_memory: 485589214.8674, f_measure: 0.9439, kappa: 0.5325, kb_relative_information_score: 155.0533, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9467, predictive_accuracy: 0.9417, prior_entropy: 0.3333, recall: 0.9417, relative_absolute_error: 0.6391, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.8603, scimark_benchmark: 908.8705,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, build_cpu_time: 650.7893, build_memory: 1433633528.6469, f_measure: 0.9707, kappa: 0.7419, kb_relative_information_score: 2187.3391, mean_absolute_error: 0.0393, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9704, predictive_accuracy: 0.9711, prior_entropy: 0.3333, recall: 0.9711, relative_absolute_error: 0.341, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1493, root_relative_squared_error: 0.6227, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, build_cpu_time: 1364.9454, build_memory: 50725337.561, f_measure: 0.9713, kappa: 0.7453, kb_relative_information_score: 2335.2257, mean_absolute_error: 0.0348, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9709, predictive_accuracy: 0.9719, prior_entropy: 0.3333, recall: 0.9719, relative_absolute_error: 0.3017, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1419, root_relative_squared_error: 0.5919, scimark_benchmark: 923.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, build_cpu_time: 2679.4494, build_memory: 1052299088.2163, f_measure: 0.9766, kappa: 0.794, kb_relative_information_score: 2539.927, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9764, predictive_accuracy: 0.9769, prior_entropy: 0.3333, recall: 0.9769, relative_absolute_error: 0.2593, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1368, root_relative_squared_error: 0.5704, scimark_benchmark: 943.8134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, build_cpu_time: 5048.6888, build_memory: 290599129.9576, f_measure: 0.9796, kappa: 0.8211, kb_relative_information_score: 2788.0164, mean_absolute_error: 0.0224, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9795, predictive_accuracy: 0.9799, prior_entropy: 0.3333, recall: 0.9799, relative_absolute_error: 0.1947, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1259, root_relative_squared_error: 0.525, scimark_benchmark: 931.6517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, build_cpu_time: 10350.007, build_memory: 715146322.3818, f_measure: 0.984, kappa: 0.86, kb_relative_information_score: 3015.1093, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9839, predictive_accuracy: 0.9841, prior_entropy: 0.3333, recall: 0.9841, relative_absolute_error: 0.1449, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1157, root_relative_squared_error: 0.4827, scimark_benchmark: 942.7834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9656, build_cpu_time: 1038.0726, build_memory: 183829162.2015, f_measure: 0.9918, kappa: 0.9281, kb_relative_information_score: 3375.6996, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9917, predictive_accuracy: 0.9918, prior_entropy: 0.3333, recall: 0.9918, relative_absolute_error: 0.0716, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0907, root_relative_squared_error: 0.3781, scimark_benchmark: 924.2473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.961, build_cpu_time: 544.5731, build_memory: 1329788702.0509, f_measure: 0.9907, kappa: 0.9191, kb_relative_information_score: 3321.5202, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9907, predictive_accuracy: 0.9907, prior_entropy: 0.3333, recall: 0.9907, relative_absolute_error: 0.0814, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0965, root_relative_squared_error: 0.4025, scimark_benchmark: 936.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, build_cpu_time: 258.6798, build_memory: 648882289.6607, f_measure: 0.9915, kappa: 0.9262, kb_relative_information_score: 3366.453, mean_absolute_error: 0.0085, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9915, predictive_accuracy: 0.9915, prior_entropy: 0.3333, recall: 0.9915, relative_absolute_error: 0.0737, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.092, root_relative_squared_error: 0.3836, scimark_benchmark: 933.4498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.966, build_cpu_time: 124.6091, build_memory: 162288935.8855, f_measure: 0.9902, kappa: 0.9149, kb_relative_information_score: 3303.1581, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9902, predictive_accuracy: 0.9902, prior_entropy: 0.3333, recall: 0.9902, relative_absolute_error: 0.0838, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0972, root_relative_squared_error: 0.4053, scimark_benchmark: 935.6292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, build_cpu_time: 64.7991, build_memory: 1022208510.4814, f_measure: 0.9905, kappa: 0.9173, kb_relative_information_score: 3277.7673, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 0.3333, recall: 0.9905, relative_absolute_error: 0.0873, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0968, root_relative_squared_error: 0.4037, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, build_cpu_time: 15.5025, build_memory: 490466199.7582, f_measure: 0.9882, kappa: 0.8969, kb_relative_information_score: 3227.6825, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9882, predictive_accuracy: 0.9883, prior_entropy: 0.3333, recall: 0.9883, relative_absolute_error: 0.1015, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0997, root_relative_squared_error: 0.4159, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, build_cpu_time: 30.4935, build_memory: 493821750.4751, f_measure: 0.9909, kappa: 0.9203, kb_relative_information_score: 3330.0429, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9909, predictive_accuracy: 0.991, prior_entropy: 0.3333, recall: 0.991, relative_absolute_error: 0.0797, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0911, root_relative_squared_error: 0.3801, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, build_cpu_time: 56.7504, build_memory: 325935761.4486, f_measure: 0.9904, kappa: 0.9153, kb_relative_information_score: 3311.9701, mean_absolute_error: 0.0099, 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: 0.0856, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0953, root_relative_squared_error: 0.3975, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9617, build_cpu_time: 9.7767, build_memory: 935854361.8685, f_measure: 0.9866, kappa: 0.8814, kb_relative_information_score: 3182.9198, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9865, predictive_accuracy: 0.9867, prior_entropy: 0.3333, recall: 0.9867, relative_absolute_error: 0.1106, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1106, root_relative_squared_error: 0.4613, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9616, build_cpu_time: 8.393, build_memory: 864487488.2863, f_measure: 0.9866, kappa: 0.8814, kb_relative_information_score: 3184.7352, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9865, predictive_accuracy: 0.9867, prior_entropy: 0.3333, recall: 0.9867, relative_absolute_error: 0.1108, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1109, root_relative_squared_error: 0.4624, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9638, build_cpu_time: 5.9953, build_memory: 2243966248.0276, f_measure: 0.9863, kappa: 0.8797, kb_relative_information_score: 3168.6636, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9862, predictive_accuracy: 0.9865, prior_entropy: 0.3333, recall: 0.9865, relative_absolute_error: 0.1134, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1122, root_relative_squared_error: 0.468, scimark_benchmark: 916.8516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, build_cpu_time: 3.5002, build_memory: 1038484576.9162, f_measure: 0.9864, kappa: 0.8802, kb_relative_information_score: 3148.2531, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9863, predictive_accuracy: 0.9865, prior_entropy: 0.3333, recall: 0.9865, relative_absolute_error: 0.1154, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1114, root_relative_squared_error: 0.4648, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, build_cpu_time: 1.8369, build_memory: 967208128.6978, f_measure: 0.9858, kappa: 0.875, kb_relative_information_score: 3126.1109, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9857, predictive_accuracy: 0.9859, prior_entropy: 0.3333, recall: 0.9859, relative_absolute_error: 0.121, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1127, root_relative_squared_error: 0.4698, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, build_cpu_time: 0.9853, build_memory: 965258662.9841, f_measure: 0.9909, kappa: 0.9203, kb_relative_information_score: 3345.8269, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9909, predictive_accuracy: 0.991, prior_entropy: 0.3333, recall: 0.991, relative_absolute_error: 0.0813, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0936, root_relative_squared_error: 0.3903, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, build_cpu_time: 2.0255, build_memory: 830021902.7147, f_measure: 0.9896, kappa: 0.9084, kb_relative_information_score: 3286.8644, mean_absolute_error: 0.0103, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9895, predictive_accuracy: 0.9897, prior_entropy: 0.3333, recall: 0.9897, relative_absolute_error: 0.0894, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1002, root_relative_squared_error: 0.4178, scimark_benchmark: 934.2858,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs