Task
Supervised Classification on sick

Supervised Classification on sick

Task 3043 Supervised Classification sick 337 runs submitted
0 likes downloaded by 1 people , 1 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

337 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, build_cpu_time: 1710.516, build_memory: 870991112, f_measure: 0.9728, kappa: 0.7674, kb_relative_information_score: 648.2614, mean_absolute_error: 0.0406, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.973, predictive_accuracy: 0.9743, prior_entropy: 0.3333, recall: 0.9743, relative_absolute_error: 0.3408, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1509, root_relative_squared_error: 0.6081, scimark_benchmark: 941.3226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9443, build_cpu_time: 0.061, build_memory: 119260232, f_measure: 0.9693, kappa: 0.7631, kb_relative_information_score: 706.639, mean_absolute_error: 0.0497, 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: 0.4168, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1586, root_relative_squared_error: 0.6389, scimark_benchmark: 942.9616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.847, build_cpu_time: 0.17, build_memory: 368827064, f_measure: 0.9728, kappa: 0.7611, kb_relative_information_score: 927.4001, mean_absolute_error: 0.0247, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9748, predictive_accuracy: 0.9751, prior_entropy: 0.3333, recall: 0.9751, relative_absolute_error: 0.2074, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1567, root_relative_squared_error: 0.6313, scimark_benchmark: 947.3846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.847, build_cpu_time: 0.171, build_memory: 907030264, f_measure: 0.9728, kappa: 0.7611, kb_relative_information_score: 927.4001, mean_absolute_error: 0.0247, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9748, predictive_accuracy: 0.9751, prior_entropy: 0.3333, recall: 0.9751, relative_absolute_error: 0.2074, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1567, root_relative_squared_error: 0.6313, scimark_benchmark: 937.6369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.847, build_cpu_time: 0.175, build_memory: 1220196384, f_measure: 0.9728, kappa: 0.7611, kb_relative_information_score: 927.4001, mean_absolute_error: 0.0247, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9748, predictive_accuracy: 0.9751, prior_entropy: 0.3333, recall: 0.9751, relative_absolute_error: 0.2074, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1567, root_relative_squared_error: 0.6313, scimark_benchmark: 927.7693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.847, build_cpu_time: 0.172, build_memory: 324960912, f_measure: 0.9728, kappa: 0.7611, kb_relative_information_score: 927.4001, mean_absolute_error: 0.0247, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9748, predictive_accuracy: 0.9751, prior_entropy: 0.3333, recall: 0.9751, relative_absolute_error: 0.2074, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1567, root_relative_squared_error: 0.6313, scimark_benchmark: 905.0866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.847, build_cpu_time: 0.173, build_memory: 535563096, f_measure: 0.9728, kappa: 0.7611, kb_relative_information_score: 927.4001, mean_absolute_error: 0.0247, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9748, predictive_accuracy: 0.9751, prior_entropy: 0.3333, recall: 0.9751, relative_absolute_error: 0.2074, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1567, root_relative_squared_error: 0.6313, scimark_benchmark: 939.6798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, build_cpu_time: 11.823, build_memory: 941409240, f_measure: 0.9833, kappa: 0.8599, kb_relative_information_score: 1013.7651, mean_absolute_error: 0.0238, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9835, predictive_accuracy: 0.9839, prior_entropy: 0.3333, recall: 0.9839, relative_absolute_error: 0.1994, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1038, root_relative_squared_error: 0.4182, scimark_benchmark: 941.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9224, build_cpu_time: 0.378, build_memory: 445974792, f_measure: 0.9642, kappa: 0.7061, kb_relative_information_score: 787.7385, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9639, predictive_accuracy: 0.9646, prior_entropy: 0.3333, recall: 0.9646, relative_absolute_error: 0.2984, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.172, root_relative_squared_error: 0.693, scimark_benchmark: 932.7461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9167, build_cpu_time: 1.099, build_memory: 583136632, f_measure: 0.9185, kappa: 0.4773, kb_relative_information_score: -921.7363, mean_absolute_error: 0.1136, 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: 0.952, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.2643, root_relative_squared_error: 1.0648, scimark_benchmark: 932.5791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9167, build_cpu_time: 1.144, build_memory: 1658128168, f_measure: 0.9185, kappa: 0.4773, kb_relative_information_score: -921.7363, mean_absolute_error: 0.1136, 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: 0.952, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.2643, root_relative_squared_error: 1.0648, scimark_benchmark: 905.0866,
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: 0.9569, f_measure: 0.9759, kappa: 0.7912, kb_relative_information_score: 961.2774, mean_absolute_error: 0.0288, 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: 0.2418, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1238, root_relative_squared_error: 0.4988, scimark_benchmark: 1331.6907, usercpu_time_millis: 320, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.971, f_measure: 0.9787, kappa: 0.8243, kb_relative_information_score: 900.1063, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9785, predictive_accuracy: 0.9791, prior_entropy: 0.3333, recall: 0.9791, relative_absolute_error: 0.2466, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1327, root_relative_squared_error: 0.5348, scimark_benchmark: 942.6843, usercpu_time_millis: 1000, usercpu_time_millis_training: 1000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9706, kappa: 0.7387, kb_relative_information_score: 704.6244, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9737, predictive_accuracy: 0.9735, prior_entropy: 0.3333, recall: 0.9735, relative_absolute_error: 0.523, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1515, root_relative_squared_error: 0.6103, scimark_benchmark: 1301.9956, usercpu_time_millis: 440, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9231, f_measure: 0.9861, kappa: 0.8844, kb_relative_information_score: 1072.7823, mean_absolute_error: 0.0164, 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: 0.1373, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1123, root_relative_squared_error: 0.4525, scimark_benchmark: 938.343, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8994, f_measure: 0.9563, kappa: 0.6064, kb_relative_information_score: 342.1879, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9587, predictive_accuracy: 0.9614, prior_entropy: 0.3333, recall: 0.9614, relative_absolute_error: 0.4413, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1736, root_relative_squared_error: 0.6994, scimark_benchmark: 939.5205, usercpu_time_millis: 6880, usercpu_time_millis_testing: 6880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9034, f_measure: 0.9139, kappa: 0.4589, kb_relative_information_score: -980.019, mean_absolute_error: 0.1174, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9445, predictive_accuracy: 0.8971, prior_entropy: 0.3333, recall: 0.8971, relative_absolute_error: 0.9845, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.2731, root_relative_squared_error: 1.1005, scimark_benchmark: 1350.9691, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8664, f_measure: 0.9042, kappa: 0.0225, kb_relative_information_score: -890.3951, mean_absolute_error: 0.1167, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9391, predictive_accuracy: 0.9349, prior_entropy: 0.3333, recall: 0.9349, relative_absolute_error: 0.9785, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.2247, root_relative_squared_error: 0.9054, scimark_benchmark: 1352.1951, usercpu_time_millis: 150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9774, kappa: 0.8151, kb_relative_information_score: 568.057, mean_absolute_error: 0.046, 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: 0.3854, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1271, root_relative_squared_error: 0.5123, scimark_benchmark: 1301.9956, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9021, f_measure: 0.9759, kappa: 0.8042, kb_relative_information_score: 850.0933, mean_absolute_error: 0.039, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9759, predictive_accuracy: 0.9759, prior_entropy: 0.3333, recall: 0.9759, relative_absolute_error: 0.3274, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1486, root_relative_squared_error: 0.5986, scimark_benchmark: 1329.0992, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9019, f_measure: 0.9171, kappa: 0.4686, kb_relative_information_score: -940.495, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9445, predictive_accuracy: 0.9019, prior_entropy: 0.3333, recall: 0.9019, relative_absolute_error: 0.9681, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.2711, root_relative_squared_error: 1.0924, scimark_benchmark: 922.1419, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, f_measure: 0.9787, kappa: 0.8243, kb_relative_information_score: 878.8367, mean_absolute_error: 0.0325, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9785, predictive_accuracy: 0.9791, prior_entropy: 0.3333, recall: 0.9791, relative_absolute_error: 0.2726, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1327, root_relative_squared_error: 0.5349, scimark_benchmark: 1028.5889, usercpu_time_millis: 370, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9268, kappa: 0.2778, kb_relative_information_score: 599.8006, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9484, predictive_accuracy: 0.9453, prior_entropy: 0.3333, recall: 0.9453, relative_absolute_error: 0.6086, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1684, root_relative_squared_error: 0.6786, scimark_benchmark: 1320.2556, usercpu_time_millis: 280, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 260,
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: 0.6486, f_measure: 0.9022, kb_relative_information_score: -9747.0584, mean_absolute_error: 0.4952, 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: 4.1517, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.4953, root_relative_squared_error: 1.9959, scimark_benchmark: 1321.6263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.836, f_measure: 0.7679, kappa: 0.165, kb_relative_information_score: -8243.2909, mean_absolute_error: 0.4262, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9268, predictive_accuracy: 0.6897, prior_entropy: 0.3333, recall: 0.6897, relative_absolute_error: 3.5726, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.4553, root_relative_squared_error: 1.8346, scimark_benchmark: 929.0363, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9774, kappa: 0.8151, kb_relative_information_score: 568.057, mean_absolute_error: 0.046, 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: 0.3854, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1271, root_relative_squared_error: 0.5123, scimark_benchmark: 1339.3974, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9357, f_measure: 0.9726, kappa: 0.7644, kb_relative_information_score: 835.255, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9731, predictive_accuracy: 0.9743, prior_entropy: 0.3333, recall: 0.9743, relative_absolute_error: 0.2984, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1456, root_relative_squared_error: 0.5867, scimark_benchmark: 906.0979,
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: 947.1781, usercpu_time_millis: 1250, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 1020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.9763, kappa: 0.8052, kb_relative_information_score: 737.091, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9761, predictive_accuracy: 0.9767, prior_entropy: 0.3333, recall: 0.9767, relative_absolute_error: 0.3255, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1464, root_relative_squared_error: 0.5897, scimark_benchmark: 941.6675, usercpu_time_millis: 70, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5057, f_measure: 0.9038, kappa: 0.0207, kb_relative_information_score: 296.6182, mean_absolute_error: 0.0659, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9061, predictive_accuracy: 0.9341, prior_entropy: 0.3333, recall: 0.9341, relative_absolute_error: 0.5526, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.2567, root_relative_squared_error: 1.0345, scimark_benchmark: 904.6764, usercpu_time_millis: 4780, usercpu_time_millis_testing: 1510, usercpu_time_millis_training: 3270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.9763, kappa: 0.8052, kb_relative_information_score: 737.091, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9761, predictive_accuracy: 0.9767, prior_entropy: 0.3333, recall: 0.9767, relative_absolute_error: 0.3255, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1464, root_relative_squared_error: 0.5897, scimark_benchmark: 974.2014, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8855, f_measure: 0.9696, kappa: 0.7416, kb_relative_information_score: 743.1531, mean_absolute_error: 0.0366, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9694, predictive_accuracy: 0.9711, prior_entropy: 0.3333, recall: 0.9711, relative_absolute_error: 0.3065, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.155, root_relative_squared_error: 0.6245, scimark_benchmark: 936.3373, usercpu_time_millis: 8010, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 7980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9569, f_measure: 0.9759, kappa: 0.7912, kb_relative_information_score: 961.2774, mean_absolute_error: 0.0288, 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: 0.2418, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1238, root_relative_squared_error: 0.4988, scimark_benchmark: 941.6675, usercpu_time_millis: 630, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.9763, kappa: 0.8052, kb_relative_information_score: 737.091, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9761, predictive_accuracy: 0.9767, prior_entropy: 0.3333, recall: 0.9767, relative_absolute_error: 0.3255, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1464, root_relative_squared_error: 0.5897, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5057, f_measure: 0.9038, kappa: 0.0207, kb_relative_information_score: 296.6182, mean_absolute_error: 0.0659, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9061, predictive_accuracy: 0.9341, prior_entropy: 0.3333, recall: 0.9341, relative_absolute_error: 0.5526, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.2567, root_relative_squared_error: 1.0345, scimark_benchmark: 908.9569, usercpu_time_millis: 6930, usercpu_time_millis_testing: 2250, usercpu_time_millis_training: 4680,

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