OpenML
Supervised Classification on baseball

Supervised Classification on baseball

Task 2077 Supervised Classification baseball 770 runs submitted
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  • at2 study_1 study_107 study_70 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8635, f_measure: 0.9069, kappa: 0.4328, kb_relative_information_score: 486.5052, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.8985, predictive_accuracy: 0.9194, prior_entropy: 0.5456, recall: 0.9194, relative_absolute_error: 0.4705, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2246, root_relative_squared_error: 0.9341, scimark_benchmark: 1367.7021, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8559, f_measure: 0.9231, kappa: 0.5395, kb_relative_information_score: 601.1492, mean_absolute_error: 0.0476, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9187, predictive_accuracy: 0.9299, prior_entropy: 0.5456, recall: 0.9299, relative_absolute_error: 0.4086, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2125, root_relative_squared_error: 0.8838, scimark_benchmark: 1328.0773, usercpu_time_millis: 940, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9223, f_measure: 0.9101, kappa: 0.4511, kb_relative_information_score: 139.2928, mean_absolute_error: 0.0875, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9034, predictive_accuracy: 0.9216, prior_entropy: 0.5456, recall: 0.9216, relative_absolute_error: 0.7518, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2011, root_relative_squared_error: 0.8362, scimark_benchmark: 1332.5805, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9541, f_measure: 0.9303, kappa: 0.5826, kb_relative_information_score: 501.4101, mean_absolute_error: 0.0628, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9277, predictive_accuracy: 0.9388, prior_entropy: 0.5456, recall: 0.9388, relative_absolute_error: 0.5399, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1788, root_relative_squared_error: 0.7434, scimark_benchmark: 1363.0777, usercpu_time_millis: 260, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7831, f_measure: 0.9211, kappa: 0.5279, kb_relative_information_score: 476.338, mean_absolute_error: 0.0639, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9173, predictive_accuracy: 0.9269, prior_entropy: 0.5456, recall: 0.9269, relative_absolute_error: 0.5487, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2089, root_relative_squared_error: 0.8689, scimark_benchmark: 1366.3025, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8009, f_measure: 0.912, kappa: 0.4961, kb_relative_information_score: 425.9983, mean_absolute_error: 0.0602, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9147, predictive_accuracy: 0.9097, prior_entropy: 0.5456, recall: 0.9097, relative_absolute_error: 0.5172, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2452, root_relative_squared_error: 1.0196, scimark_benchmark: 1297.9975, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9217, f_measure: 0.9255, kappa: 0.5593, kb_relative_information_score: 453.4527, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.922, predictive_accuracy: 0.9328, prior_entropy: 0.5456, recall: 0.9328, relative_absolute_error: 0.5483, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1944, root_relative_squared_error: 0.8085, scimark_benchmark: 1355.8373, usercpu_time_millis: 630, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9541, f_measure: 0.9303, kappa: 0.5826, kb_relative_information_score: 501.4101, mean_absolute_error: 0.0628, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9277, predictive_accuracy: 0.9388, prior_entropy: 0.5456, recall: 0.9388, relative_absolute_error: 0.5399, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1788, root_relative_squared_error: 0.7434, scimark_benchmark: 1367.6676, usercpu_time_millis: 510, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9654, f_measure: 0.9347, kappa: 0.613, kb_relative_information_score: 583.757, mean_absolute_error: 0.058, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9319, predictive_accuracy: 0.9403, prior_entropy: 0.5456, recall: 0.9403, relative_absolute_error: 0.4985, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1747, root_relative_squared_error: 0.7267, scimark_benchmark: 1351.2936, usercpu_time_millis: 370, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.929, kappa: 0.5705, kb_relative_information_score: 550.8428, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9255, predictive_accuracy: 0.9373, prior_entropy: 0.5456, recall: 0.9373, relative_absolute_error: 0.5057, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1949, root_relative_squared_error: 0.8105, scimark_benchmark: 1190.389, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8401, f_measure: 0.9261, kappa: 0.5512, kb_relative_information_score: 479.6701, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9226, predictive_accuracy: 0.9351, prior_entropy: 0.5456, recall: 0.9351, relative_absolute_error: 0.5657, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1913, root_relative_squared_error: 0.7955, scimark_benchmark: 1409.051, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7841, f_measure: 0.9124, kappa: 0.4923, kb_relative_information_score: 438.4059, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9131, predictive_accuracy: 0.9119, prior_entropy: 0.5456, recall: 0.9119, relative_absolute_error: 0.5053, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2418, root_relative_squared_error: 1.0055, scimark_benchmark: 1347.4609, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.88, f_measure: 0.9125, kappa: 0.4726, kb_relative_information_score: 461.2505, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.908, predictive_accuracy: 0.9187, prior_entropy: 0.5456, recall: 0.9187, relative_absolute_error: 0.5252, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2132, root_relative_squared_error: 0.8866, scimark_benchmark: 1220.6678, usercpu_time_millis: 1110, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9648, f_measure: 0.9328, kappa: 0.6051, kb_relative_information_score: 582.9432, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.93, predictive_accuracy: 0.9388, prior_entropy: 0.5456, recall: 0.9388, relative_absolute_error: 0.4958, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1753, root_relative_squared_error: 0.729, scimark_benchmark: 1334.1792, usercpu_time_millis: 920, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9352, f_measure: 0.9108, kappa: 0.4737, kb_relative_information_score: 396.7245, mean_absolute_error: 0.0686, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9088, predictive_accuracy: 0.9134, prior_entropy: 0.5456, recall: 0.9134, relative_absolute_error: 0.5895, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2027, root_relative_squared_error: 0.8428, scimark_benchmark: 1417.3627, usercpu_time_millis: 440, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4886, f_measure: 0.8624, kb_relative_information_score: -7.9631, mean_absolute_error: 0.1165, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.8221, predictive_accuracy: 0.9067, prior_entropy: 0.5456, recall: 0.9067, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2405, root_relative_squared_error: 1, scimark_benchmark: 1288.5772, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8275, f_measure: 0.8624, kb_relative_information_score: 273.6664, mean_absolute_error: 0.0849, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.8221, predictive_accuracy: 0.9067, prior_entropy: 0.5456, recall: 0.9067, relative_absolute_error: 0.7298, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.8639, scimark_benchmark: 1310.7961, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.87, f_measure: 0.9163, kappa: 0.5201, kb_relative_information_score: 477.0308, mean_absolute_error: 0.059, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9162, predictive_accuracy: 0.9164, prior_entropy: 0.5456, recall: 0.9164, relative_absolute_error: 0.5072, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2209, root_relative_squared_error: 0.9188, scimark_benchmark: 1343.4251, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9132, f_measure: 0.9074, kappa: 0.4777, kb_relative_information_score: -57.5647, mean_absolute_error: 0.0948, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9159, predictive_accuracy: 0.9007, prior_entropy: 0.5456, recall: 0.9007, relative_absolute_error: 0.8141, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2247, root_relative_squared_error: 0.9343, scimark_benchmark: 1328.2037, usercpu_time_millis: 1940, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9597, f_measure: 0.925, kappa: 0.5493, kb_relative_information_score: 533.2916, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9213, predictive_accuracy: 0.9313, prior_entropy: 0.5456, recall: 0.9313, relative_absolute_error: 0.5185, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1855, root_relative_squared_error: 0.7715, scimark_benchmark: 1352.3323, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.935, f_measure: 0.9195, kappa: 0.5086, kb_relative_information_score: 446.2951, mean_absolute_error: 0.0724, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9267, predictive_accuracy: 0.9358, prior_entropy: 0.5456, recall: 0.9358, relative_absolute_error: 0.6219, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1828, root_relative_squared_error: 0.7602, scimark_benchmark: 1294.8411, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9271, f_measure: 0.924, kappa: 0.5407, kb_relative_information_score: 501.7602, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9195, predictive_accuracy: 0.9321, prior_entropy: 0.5456, recall: 0.9321, relative_absolute_error: 0.5061, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1838, root_relative_squared_error: 0.7645, scimark_benchmark: 1280.4815, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9548, f_measure: 0.9203, kappa: 0.5197, kb_relative_information_score: 526.9937, mean_absolute_error: 0.0619, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9156, predictive_accuracy: 0.9284, prior_entropy: 0.5456, recall: 0.9284, relative_absolute_error: 0.5323, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1877, root_relative_squared_error: 0.7807, scimark_benchmark: 1229.0057, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4886, f_measure: 0.8624, kb_relative_information_score: -7.9631, mean_absolute_error: 0.1165, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.8221, predictive_accuracy: 0.9067, prior_entropy: 0.5456, recall: 0.9067, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2405, root_relative_squared_error: 1, scimark_benchmark: 1297.9416, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9475, f_measure: 0.9263, kappa: 0.5475, kb_relative_information_score: 418.5578, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.925, predictive_accuracy: 0.9366, prior_entropy: 0.5456, recall: 0.9366, relative_absolute_error: 0.5597, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1841, root_relative_squared_error: 0.7657, scimark_benchmark: 1244.3596, usercpu_time_millis: 200, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8076, f_measure: 0.9158, kappa: 0.5157, kb_relative_information_score: 469.2386, mean_absolute_error: 0.0566, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.916, predictive_accuracy: 0.9157, prior_entropy: 0.5456, recall: 0.9157, relative_absolute_error: 0.4866, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.237, root_relative_squared_error: 0.9856, scimark_benchmark: 1355.3539, usercpu_time_millis: 11260, usercpu_time_millis_testing: 11260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8392, f_measure: 0.9256, kappa: 0.5574, kb_relative_information_score: 529.159, mean_absolute_error: 0.0601, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9221, predictive_accuracy: 0.9306, prior_entropy: 0.5456, recall: 0.9306, relative_absolute_error: 0.5164, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.8672, scimark_benchmark: 1486.0038, usercpu_time_millis: 32430, usercpu_time_millis_testing: 32430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.8913, kappa: 0.2965, kb_relative_information_score: 323.9564, mean_absolute_error: 0.0797, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.869, predictive_accuracy: 0.9194, prior_entropy: 0.5456, recall: 0.9194, relative_absolute_error: 0.6851, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2023, root_relative_squared_error: 0.8411, scimark_benchmark: 1300.4187, usercpu_time_millis: 8510, usercpu_time_millis_testing: 8510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.92, f_measure: 0.9116, kappa: 0.4705, kb_relative_information_score: 494.1421, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.906, predictive_accuracy: 0.9187, prior_entropy: 0.5456, recall: 0.9187, relative_absolute_error: 0.4773, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2216, root_relative_squared_error: 0.9216, scimark_benchmark: 1348.2791, usercpu_time_millis: 26310, usercpu_time_millis_testing: 26310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9445, f_measure: 0.87, kappa: 0.4172, kb_relative_information_score: -122.3351, mean_absolute_error: 0.1066, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9229, predictive_accuracy: 0.8388, prior_entropy: 0.5456, recall: 0.8388, relative_absolute_error: 0.9162, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.3085, root_relative_squared_error: 1.2827, scimark_benchmark: 1567.5151, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9391, f_measure: 0.9235, kappa: 0.5399, kb_relative_information_score: 473.956, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9196, predictive_accuracy: 0.9328, prior_entropy: 0.5456, recall: 0.9328, relative_absolute_error: 0.529, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1843, root_relative_squared_error: 0.7662, scimark_benchmark: 1292.6053, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8351, f_measure: 0.9067, kappa: 0.4344, kb_relative_information_score: 471.8644, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9051, predictive_accuracy: 0.9261, prior_entropy: 0.5456, recall: 0.9261, relative_absolute_error: 0.5087, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.204, root_relative_squared_error: 0.8483, scimark_benchmark: 1395.6764, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9456, f_measure: 0.8708, kappa: 0.4171, kb_relative_information_score: -105.9709, mean_absolute_error: 0.1051, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9232, predictive_accuracy: 0.8396, prior_entropy: 0.5456, recall: 0.8396, relative_absolute_error: 0.9028, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.3002, root_relative_squared_error: 1.2485, scimark_benchmark: 1404.0785, usercpu_time_millis: 240, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9404, f_measure: 0.8882, kappa: 0.2584, kb_relative_information_score: 292.5786, mean_absolute_error: 0.0797, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.8671, predictive_accuracy: 0.9179, prior_entropy: 0.5456, recall: 0.9179, relative_absolute_error: 0.6844, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1966, root_relative_squared_error: 0.8177, scimark_benchmark: 1331.1985, usercpu_time_millis: 67120, usercpu_time_millis_testing: 67110, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9569, f_measure: 0.939, kappa: 0.6353, kb_relative_information_score: 568.4013, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9367, predictive_accuracy: 0.9433, prior_entropy: 0.5456, recall: 0.9433, relative_absolute_error: 0.4683, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.172, root_relative_squared_error: 0.7151, scimark_benchmark: 1429.5543, usercpu_time_millis: 12570, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 12550,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7992, f_measure: 0.9183, kappa: 0.5249, kb_relative_information_score: 515.5614, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9173, predictive_accuracy: 0.9194, prior_entropy: 0.5456, recall: 0.9194, relative_absolute_error: 0.4606, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2313, root_relative_squared_error: 0.9621, scimark_benchmark: 1232.7629, usercpu_time_millis: 11310, usercpu_time_millis_testing: 11290, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8119, f_measure: 0.9213, kappa: 0.5427, kb_relative_information_score: 511.6339, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.919, predictive_accuracy: 0.9239, prior_entropy: 0.5456, recall: 0.9239, relative_absolute_error: 0.5299, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2151, root_relative_squared_error: 0.8946, scimark_benchmark: 1350.8114, usercpu_time_millis: 23400, usercpu_time_millis_testing: 23390, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9334, f_measure: 0.8872, kappa: 0.2407, kb_relative_information_score: 320.8983, mean_absolute_error: 0.0795, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.8677, predictive_accuracy: 0.9179, prior_entropy: 0.5456, recall: 0.9179, relative_absolute_error: 0.6832, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2017, root_relative_squared_error: 0.8388, scimark_benchmark: 1526.1428, usercpu_time_millis: 5370, usercpu_time_millis_testing: 5350, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9379, f_measure: 0.9122, kappa: 0.4738, kb_relative_information_score: 480.7738, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9086, predictive_accuracy: 0.9172, prior_entropy: 0.5456, recall: 0.9172, relative_absolute_error: 0.489, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2165, root_relative_squared_error: 0.9003, scimark_benchmark: 1322.2859, usercpu_time_millis: 17850, usercpu_time_millis_testing: 17840, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9513, f_measure: 0.885, kappa: 0.4642, kb_relative_information_score: -0.9993, mean_absolute_error: 0.0958, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9284, predictive_accuracy: 0.8597, prior_entropy: 0.5456, recall: 0.8597, relative_absolute_error: 0.8229, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2831, root_relative_squared_error: 1.1771, scimark_benchmark: 1472.1859, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, f_measure: 0.9191, kappa: 0.5155, kb_relative_information_score: 454.0382, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9137, predictive_accuracy: 0.9284, prior_entropy: 0.5456, recall: 0.9284, relative_absolute_error: 0.5361, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1914, root_relative_squared_error: 0.796, scimark_benchmark: 1480.2905, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.831, f_measure: 0.9097, kappa: 0.4542, kb_relative_information_score: 474.2483, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9119, predictive_accuracy: 0.9284, prior_entropy: 0.5456, recall: 0.9284, relative_absolute_error: 0.5057, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2038, root_relative_squared_error: 0.8477, scimark_benchmark: 1432.0124, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9516, f_measure: 0.8865, kappa: 0.4662, kb_relative_information_score: 7.3627, mean_absolute_error: 0.0951, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9281, predictive_accuracy: 0.8619, prior_entropy: 0.5456, recall: 0.8619, relative_absolute_error: 0.8168, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2781, root_relative_squared_error: 1.1563, scimark_benchmark: 1659.6626, usercpu_time_millis: 140, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9368, f_measure: 0.8904, kappa: 0.2803, kb_relative_information_score: 252.7805, mean_absolute_error: 0.0808, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.8691, predictive_accuracy: 0.9194, prior_entropy: 0.5456, recall: 0.9194, relative_absolute_error: 0.6946, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1973, root_relative_squared_error: 0.8205, scimark_benchmark: 1530.2349, usercpu_time_millis: 44120, usercpu_time_millis_testing: 44100, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9527, f_measure: 0.9241, kappa: 0.5416, kb_relative_information_score: 513.8037, mean_absolute_error: 0.0596, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.92, predictive_accuracy: 0.9313, prior_entropy: 0.5456, recall: 0.9313, relative_absolute_error: 0.5119, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1837, root_relative_squared_error: 0.7639, scimark_benchmark: 1599.9459, usercpu_time_millis: 6850, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 6840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8948, f_measure: 0.9307, kappa: 0.5792, kb_relative_information_score: 514.0506, mean_absolute_error: 0.0621, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9278, predictive_accuracy: 0.9381, prior_entropy: 0.5456, recall: 0.9381, relative_absolute_error: 0.5332, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1852, root_relative_squared_error: 0.7702, scimark_benchmark: 1356.6648, usercpu_time_millis: 1200, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.936, f_measure: 0.9269, kappa: 0.5609, kb_relative_information_score: 480.0082, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9233, predictive_accuracy: 0.9351, prior_entropy: 0.5456, recall: 0.9351, relative_absolute_error: 0.5341, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1847, root_relative_squared_error: 0.7682, scimark_benchmark: 1500.538, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8601, f_measure: 0.9199, kappa: 0.5193, kb_relative_information_score: 527.3513, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9166, predictive_accuracy: 0.9246, prior_entropy: 0.5456, recall: 0.9246, relative_absolute_error: 0.471, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2011, root_relative_squared_error: 0.8364, scimark_benchmark: 1573.2461, usercpu_time_millis: 1350, usercpu_time_millis_testing: 1330, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9155, f_measure: 0.8624, kb_relative_information_score: 212.8254, mean_absolute_error: 0.0868, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.8221, predictive_accuracy: 0.9067, prior_entropy: 0.5456, recall: 0.9067, relative_absolute_error: 0.7458, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2044, root_relative_squared_error: 0.8499, scimark_benchmark: 1619.1207, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9198, f_measure: 0.9188, kappa: 0.5188, kb_relative_information_score: 523.9902, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9161, predictive_accuracy: 0.9224, prior_entropy: 0.5456, recall: 0.9224, relative_absolute_error: 0.468, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2043, root_relative_squared_error: 0.8494, scimark_benchmark: 1479.4642, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8048, f_measure: 0.9142, kappa: 0.508, kb_relative_information_score: 441.0052, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9175, predictive_accuracy: 0.9112, prior_entropy: 0.5456, recall: 0.9112, relative_absolute_error: 0.5111, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2434, root_relative_squared_error: 1.0123, scimark_benchmark: 1404.4016, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8859, f_measure: 0.9072, kappa: 0.4423, kb_relative_information_score: 462.8806, mean_absolute_error: 0.057, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9005, predictive_accuracy: 0.9172, prior_entropy: 0.5456, recall: 0.9172, relative_absolute_error: 0.4901, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2239, root_relative_squared_error: 0.9312, scimark_benchmark: 1374.3284, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9063, f_measure: 0.9134, kappa: 0.5339, kb_relative_information_score: 108.0908, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9237, predictive_accuracy: 0.906, prior_entropy: 0.5456, recall: 0.906, relative_absolute_error: 0.8153, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2332, root_relative_squared_error: 0.97, scimark_benchmark: 1523.43, usercpu_time_millis: 240, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8268, f_measure: 0.922, kappa: 0.5355, kb_relative_information_score: 586.2118, mean_absolute_error: 0.0489, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9184, predictive_accuracy: 0.9269, prior_entropy: 0.5456, recall: 0.9269, relative_absolute_error: 0.4204, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.8974, scimark_benchmark: 1384.2253, usercpu_time_millis: 13290, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 13270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.9194, kappa: 0.5207, kb_relative_information_score: 547.514, mean_absolute_error: 0.0508, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9171, predictive_accuracy: 0.9224, prior_entropy: 0.5456, recall: 0.9224, relative_absolute_error: 0.4366, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2217, root_relative_squared_error: 0.9221, scimark_benchmark: 1363.7957, usercpu_time_millis: 310, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7864, f_measure: 0.9204, kappa: 0.529, kb_relative_information_score: 534.8164, mean_absolute_error: 0.0522, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9182, predictive_accuracy: 0.9231, prior_entropy: 0.5456, recall: 0.9231, relative_absolute_error: 0.4487, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2261, root_relative_squared_error: 0.9402, scimark_benchmark: 1526.5761, usercpu_time_millis: 540, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.923, kappa: 0.5508, kb_relative_information_score: 479.542, mean_absolute_error: 0.0599, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9241, predictive_accuracy: 0.9224, prior_entropy: 0.5456, recall: 0.9224, relative_absolute_error: 0.5151, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1945, root_relative_squared_error: 0.8089, scimark_benchmark: 1369.8559, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7546, f_measure: 0.9177, kappa: 0.5074, kb_relative_information_score: 458.7071, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9133, predictive_accuracy: 0.9246, prior_entropy: 0.5456, recall: 0.9246, relative_absolute_error: 0.624, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2101, root_relative_squared_error: 0.8735, scimark_benchmark: 1400.1149, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8624, kb_relative_information_score: -3718.1972, mean_absolute_error: 0.2524, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.8221, predictive_accuracy: 0.9067, prior_entropy: 0.5456, recall: 0.9067, relative_absolute_error: 2.1686, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.3229, root_relative_squared_error: 1.3427, scimark_benchmark: 1321.5367, usercpu_time_millis: 460, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6961, f_measure: 0.9158, kappa: 0.4585, kb_relative_information_score: -3435.6835, mean_absolute_error: 0.2403, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9189, predictive_accuracy: 0.9321, prior_entropy: 0.5456, recall: 0.9321, relative_absolute_error: 2.0646, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.3033, root_relative_squared_error: 1.2612, scimark_benchmark: 1267.6901, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9497, f_measure: 0.8905, kappa: 0.4612, kb_relative_information_score: 37.2893, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.931, predictive_accuracy: 0.8642, prior_entropy: 0.5456, recall: 0.8642, relative_absolute_error: 0.7782, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2678, root_relative_squared_error: 1.1138, scimark_benchmark: 1553.2991, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9551, f_measure: 0.926, kappa: 0.5527, kb_relative_information_score: 488.4933, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.922, predictive_accuracy: 0.9336, prior_entropy: 0.5456, recall: 0.9336, relative_absolute_error: 0.5356, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1793, root_relative_squared_error: 0.7458, scimark_benchmark: 1388.8847, usercpu_time_millis: 300, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7864, f_measure: 0.9204, kappa: 0.529, kb_relative_information_score: 534.8164, mean_absolute_error: 0.0522, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9182, predictive_accuracy: 0.9231, prior_entropy: 0.5456, recall: 0.9231, relative_absolute_error: 0.4487, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2261, root_relative_squared_error: 0.9402, scimark_benchmark: 1304.639, usercpu_time_millis: 190, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9223, f_measure: 0.9101, kappa: 0.4511, kb_relative_information_score: 139.2928, mean_absolute_error: 0.0875, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9034, predictive_accuracy: 0.9216, prior_entropy: 0.5456, recall: 0.9216, relative_absolute_error: 0.7518, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2011, root_relative_squared_error: 0.8362, scimark_benchmark: 1419.4918, usercpu_time_millis: 130, usercpu_time_millis_training: 130,

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