OpenML
Supervised Classification on spambase

Supervised Classification on spambase

Task 1807 Supervised Classification spambase 367 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9201, kappa: 0.8322, kb_relative_information_score: 15089.4789, mean_absolute_error: 0.1822, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9202, predictive_accuracy: 0.9204, prior_entropy: 0.9674, recall: 0.9204, relative_absolute_error: 0.3814, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2633, root_relative_squared_error: 0.5389, scimark_benchmark: 1319.5773, usercpu_time_millis: 1370, usercpu_time_millis_training: 1370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.919, kappa: 0.8301, kb_relative_information_score: 17302.5076, mean_absolute_error: 0.1265, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.919, predictive_accuracy: 0.9191, prior_entropy: 0.9674, recall: 0.9191, relative_absolute_error: 0.2648, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2495, root_relative_squared_error: 0.5106, scimark_benchmark: 1313.8988, usercpu_time_millis: 3560, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9288, kappa: 0.8504, kb_relative_information_score: 19287.3189, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9289, predictive_accuracy: 0.929, prior_entropy: 0.9674, recall: 0.929, relative_absolute_error: 0.1617, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2407, root_relative_squared_error: 0.4926, scimark_benchmark: 1343.7262, usercpu_time_millis: 230, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9288, kappa: 0.8504, kb_relative_information_score: 19287.3189, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9289, predictive_accuracy: 0.929, prior_entropy: 0.9674, recall: 0.929, relative_absolute_error: 0.1617, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2407, root_relative_squared_error: 0.4926, scimark_benchmark: 1314.1215, usercpu_time_millis: 190, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9288, kappa: 0.8504, kb_relative_information_score: 19287.3189, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9289, predictive_accuracy: 0.929, prior_entropy: 0.9674, recall: 0.929, relative_absolute_error: 0.1617, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2407, root_relative_squared_error: 0.4926, scimark_benchmark: 1325.6322, usercpu_time_millis: 270, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.9304, kappa: 0.8538, kb_relative_information_score: 17571.1874, mean_absolute_error: 0.1227, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9305, predictive_accuracy: 0.9306, prior_entropy: 0.9674, recall: 0.9306, relative_absolute_error: 0.2568, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2352, root_relative_squared_error: 0.4813, scimark_benchmark: 1330.4755, usercpu_time_millis: 1630, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9581, f_measure: 0.9169, kappa: 0.8261, kb_relative_information_score: 18127.2329, mean_absolute_error: 0.1047, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9169, predictive_accuracy: 0.9169, prior_entropy: 0.9674, recall: 0.9169, relative_absolute_error: 0.2192, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2632, root_relative_squared_error: 0.5386, scimark_benchmark: 1337.4384, usercpu_time_millis: 41180, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 41040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8063, f_measure: 0.8111, kappa: 0.6065, kb_relative_information_score: 13679.0682, mean_absolute_error: 0.1898, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.8127, predictive_accuracy: 0.8102, prior_entropy: 0.9674, recall: 0.8102, relative_absolute_error: 0.3974, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.8915, scimark_benchmark: 1274.7011, usercpu_time_millis: 14790, usercpu_time_millis_testing: 6390, usercpu_time_millis_training: 8400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9288, kappa: 0.8504, kb_relative_information_score: 19287.3189, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9289, predictive_accuracy: 0.929, prior_entropy: 0.9674, recall: 0.929, relative_absolute_error: 0.1617, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2407, root_relative_squared_error: 0.4926, scimark_benchmark: 1373.7859, usercpu_time_millis: 240, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8063, f_measure: 0.8111, kappa: 0.6065, kb_relative_information_score: 13679.0682, mean_absolute_error: 0.1898, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.8127, predictive_accuracy: 0.8102, prior_entropy: 0.9674, recall: 0.8102, relative_absolute_error: 0.3974, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.8915, scimark_benchmark: 1327.3335, usercpu_time_millis: 31520, usercpu_time_millis_testing: 14720, usercpu_time_millis_training: 16800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9288, kappa: 0.8504, kb_relative_information_score: 19287.3189, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9289, predictive_accuracy: 0.929, prior_entropy: 0.9674, recall: 0.929, relative_absolute_error: 0.1617, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2407, root_relative_squared_error: 0.4926, scimark_benchmark: 1347.993, usercpu_time_millis: 270, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9288, kappa: 0.8504, kb_relative_information_score: 19287.3189, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9289, predictive_accuracy: 0.929, prior_entropy: 0.9674, recall: 0.929, relative_absolute_error: 0.1617, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2407, root_relative_squared_error: 0.4926, scimark_benchmark: 1354.3488, usercpu_time_millis: 270, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9581, f_measure: 0.9169, kappa: 0.8261, kb_relative_information_score: 18127.2329, mean_absolute_error: 0.1047, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9169, predictive_accuracy: 0.9169, prior_entropy: 0.9674, recall: 0.9169, relative_absolute_error: 0.2192, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2632, root_relative_squared_error: 0.5386, scimark_benchmark: 940.3347, usercpu_time_millis: 39340, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 39280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9478, kappa: 0.8904, kb_relative_information_score: 17942.9856, mean_absolute_error: 0.1174, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.948, predictive_accuracy: 0.948, prior_entropy: 0.9674, recall: 0.948, relative_absolute_error: 0.2459, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2105, root_relative_squared_error: 0.4308, scimark_benchmark: 1322.7257, usercpu_time_millis: 2140, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 1880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9344, f_measure: 0.9195, kappa: 0.8309, kb_relative_information_score: 17799.4357, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9195, predictive_accuracy: 0.9197, prior_entropy: 0.9674, recall: 0.9197, relative_absolute_error: 0.2419, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2678, root_relative_squared_error: 0.548, scimark_benchmark: 1384.4422, usercpu_time_millis: 180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9201, kappa: 0.8322, kb_relative_information_score: 15089.4789, mean_absolute_error: 0.1822, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9202, predictive_accuracy: 0.9204, prior_entropy: 0.9674, recall: 0.9204, relative_absolute_error: 0.3814, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2633, root_relative_squared_error: 0.5389, scimark_benchmark: 1371.9645, usercpu_time_millis: 1590, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9288, kappa: 0.8504, kb_relative_information_score: 19287.3189, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9289, predictive_accuracy: 0.929, prior_entropy: 0.9674, recall: 0.929, relative_absolute_error: 0.1617, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2407, root_relative_squared_error: 0.4926, scimark_benchmark: 932.5646, usercpu_time_millis: 340, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.933, kappa: 0.8593, kb_relative_information_score: 18280.5274, mean_absolute_error: 0.1051, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9331, predictive_accuracy: 0.9332, prior_entropy: 0.9674, recall: 0.9332, relative_absolute_error: 0.22, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2274, root_relative_squared_error: 0.4655, scimark_benchmark: 1341.5795, usercpu_time_millis: 126960, usercpu_time_millis_testing: 8050, usercpu_time_millis_training: 118910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9624, f_measure: 0.8989, kappa: 0.7871, kb_relative_information_score: 17974.648, mean_absolute_error: 0.103, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.8997, predictive_accuracy: 0.8996, prior_entropy: 0.9674, recall: 0.8996, relative_absolute_error: 0.2157, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2987, root_relative_squared_error: 0.6113, scimark_benchmark: 918.0213, usercpu_time_millis: 180, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9288, kappa: 0.8504, kb_relative_information_score: 19287.3189, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9289, predictive_accuracy: 0.929, prior_entropy: 0.9674, recall: 0.929, relative_absolute_error: 0.1617, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2407, root_relative_squared_error: 0.4926, scimark_benchmark: 918.0213, usercpu_time_millis: 340, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9288, kappa: 0.8504, kb_relative_information_score: 19287.3189, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9289, predictive_accuracy: 0.929, prior_entropy: 0.9674, recall: 0.929, relative_absolute_error: 0.1617, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2407, root_relative_squared_error: 0.4926, scimark_benchmark: 1288.1375, usercpu_time_millis: 240, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.9304, kappa: 0.8538, kb_relative_information_score: 17571.1874, mean_absolute_error: 0.1227, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9305, predictive_accuracy: 0.9306, prior_entropy: 0.9674, recall: 0.9306, relative_absolute_error: 0.2568, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2352, root_relative_squared_error: 0.4813, scimark_benchmark: 918.0213, usercpu_time_millis: 1950, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9581, f_measure: 0.9169, kappa: 0.8261, kb_relative_information_score: 18127.2329, mean_absolute_error: 0.1047, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9169, predictive_accuracy: 0.9169, prior_entropy: 0.9674, recall: 0.9169, relative_absolute_error: 0.2192, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2632, root_relative_squared_error: 0.5386, scimark_benchmark: 938.0414, usercpu_time_millis: 38990, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 38930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9344, f_measure: 0.9195, kappa: 0.8309, kb_relative_information_score: 17799.4357, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9195, predictive_accuracy: 0.9197, prior_entropy: 0.9674, recall: 0.9197, relative_absolute_error: 0.2419, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2678, root_relative_squared_error: 0.548, scimark_benchmark: 1261.7298, usercpu_time_millis: 190, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8063, f_measure: 0.8111, kappa: 0.6065, kb_relative_information_score: 13679.0682, mean_absolute_error: 0.1898, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.8127, predictive_accuracy: 0.8102, prior_entropy: 0.9674, recall: 0.8102, relative_absolute_error: 0.3974, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.8915, scimark_benchmark: 1345.7204, usercpu_time_millis: 12660, usercpu_time_millis_testing: 5140, usercpu_time_millis_training: 7520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9288, kappa: 0.8504, kb_relative_information_score: 19287.3189, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9289, predictive_accuracy: 0.929, prior_entropy: 0.9674, recall: 0.929, relative_absolute_error: 0.1617, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2407, root_relative_squared_error: 0.4926, scimark_benchmark: 1380.2233, usercpu_time_millis: 220, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9288, kappa: 0.8504, kb_relative_information_score: 19287.3189, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9289, predictive_accuracy: 0.929, prior_entropy: 0.9674, recall: 0.929, relative_absolute_error: 0.1617, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2407, root_relative_squared_error: 0.4926, scimark_benchmark: 933.1165, usercpu_time_millis: 320, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9288, kappa: 0.8504, kb_relative_information_score: 19287.3189, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9289, predictive_accuracy: 0.929, prior_entropy: 0.9674, recall: 0.929, relative_absolute_error: 0.1617, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2407, root_relative_squared_error: 0.4926, scimark_benchmark: 1343.2125, usercpu_time_millis: 260, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9288, kappa: 0.8504, kb_relative_information_score: 19287.3189, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9289, predictive_accuracy: 0.929, prior_entropy: 0.9674, recall: 0.929, relative_absolute_error: 0.1617, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2407, root_relative_squared_error: 0.4926, scimark_benchmark: 1312.0581, usercpu_time_millis: 240, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.9304, kappa: 0.8538, kb_relative_information_score: 17571.1874, mean_absolute_error: 0.1227, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9305, predictive_accuracy: 0.9306, prior_entropy: 0.9674, recall: 0.9306, relative_absolute_error: 0.2568, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2352, root_relative_squared_error: 0.4813, scimark_benchmark: 1312.0581, usercpu_time_millis: 1770, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9478, kappa: 0.8904, kb_relative_information_score: 17942.9856, mean_absolute_error: 0.1174, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.948, predictive_accuracy: 0.948, prior_entropy: 0.9674, recall: 0.948, relative_absolute_error: 0.2459, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2105, root_relative_squared_error: 0.4308, scimark_benchmark: 1345.7204, usercpu_time_millis: 2510, usercpu_time_millis_testing: 310, usercpu_time_millis_training: 2200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9201, kappa: 0.8322, kb_relative_information_score: 15089.4789, mean_absolute_error: 0.1822, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9202, predictive_accuracy: 0.9204, prior_entropy: 0.9674, recall: 0.9204, relative_absolute_error: 0.3814, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2633, root_relative_squared_error: 0.5389, scimark_benchmark: 915.9324, usercpu_time_millis: 2180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9344, f_measure: 0.9195, kappa: 0.8309, kb_relative_information_score: 17799.4357, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9195, predictive_accuracy: 0.9197, prior_entropy: 0.9674, recall: 0.9197, relative_absolute_error: 0.2419, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2678, root_relative_squared_error: 0.548, scimark_benchmark: 1151.6869, usercpu_time_millis: 180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9201, kappa: 0.8322, kb_relative_information_score: 15089.4789, mean_absolute_error: 0.1822, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9202, predictive_accuracy: 0.9204, prior_entropy: 0.9674, recall: 0.9204, relative_absolute_error: 0.3814, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2633, root_relative_squared_error: 0.5389, scimark_benchmark: 942.9708, usercpu_time_millis: 1850, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1840,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9401, f_measure: 0.924, kappa: 0.841, kb_relative_information_score: 18920.4472, mean_absolute_error: 0.0855, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9241, predictive_accuracy: 0.924, prior_entropy: 0.9674, recall: 0.924, relative_absolute_error: 0.1789, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2623, root_relative_squared_error: 0.5367, scimark_benchmark: 1345.842, usercpu_time_millis: 1430, usercpu_time_millis_testing: 410, usercpu_time_millis_training: 1020,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9431, f_measure: 0.9053, kappa: 0.8003, kb_relative_information_score: 14517.8241, mean_absolute_error: 0.1906, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9072, predictive_accuracy: 0.9062, prior_entropy: 0.9674, recall: 0.9062, relative_absolute_error: 0.3991, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2911, root_relative_squared_error: 0.5958, scimark_benchmark: 1370.6464, usercpu_time_millis: 3760, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.919, kappa: 0.8301, kb_relative_information_score: 17302.5076, mean_absolute_error: 0.1265, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.919, predictive_accuracy: 0.9191, prior_entropy: 0.9674, recall: 0.9191, relative_absolute_error: 0.2648, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2495, root_relative_squared_error: 0.5106, scimark_benchmark: 1323.237, usercpu_time_millis: 3160, usercpu_time_millis_training: 3160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9611, f_measure: 0.925, kappa: 0.8426, kb_relative_information_score: 18272.8565, mean_absolute_error: 0.1023, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.925, predictive_accuracy: 0.9252, prior_entropy: 0.9674, recall: 0.9252, relative_absolute_error: 0.2143, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2493, root_relative_squared_error: 0.5103, scimark_benchmark: 1356.2994, usercpu_time_millis: 23250, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 23240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.9369, kappa: 0.8672, kb_relative_information_score: 16380.9455, mean_absolute_error: 0.1559, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9374, predictive_accuracy: 0.9372, prior_entropy: 0.9674, recall: 0.9372, relative_absolute_error: 0.3264, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2331, root_relative_squared_error: 0.477, scimark_benchmark: 1327.9952, usercpu_time_millis: 3710, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 3610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9386, kappa: 0.871, kb_relative_information_score: 18718.351, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9386, predictive_accuracy: 0.9387, prior_entropy: 0.9674, recall: 0.9387, relative_absolute_error: 0.1988, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2181, root_relative_squared_error: 0.4463, scimark_benchmark: 1308.3503, usercpu_time_millis: 1330, usercpu_time_millis_training: 1330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.9326, kappa: 0.8585, kb_relative_information_score: 17546.001, mean_absolute_error: 0.1246, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9329, predictive_accuracy: 0.9329, prior_entropy: 0.9674, recall: 0.9329, relative_absolute_error: 0.261, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2285, root_relative_squared_error: 0.4676, scimark_benchmark: 1293.1919, usercpu_time_millis: 25150, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 24940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8791, f_measure: 0.8856, kappa: 0.7602, kb_relative_information_score: 17391.2278, mean_absolute_error: 0.1142, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.8855, predictive_accuracy: 0.8858, prior_entropy: 0.9674, recall: 0.8858, relative_absolute_error: 0.2392, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.338, root_relative_squared_error: 0.6917, scimark_benchmark: 1321.6263, usercpu_time_millis: 32050, usercpu_time_millis_testing: 32050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9353, f_measure: 0.7189, kappa: 0.4787, kb_relative_information_score: 528.8252, mean_absolute_error: 0.466, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.8224, predictive_accuracy: 0.7224, prior_entropy: 0.9674, recall: 0.7224, relative_absolute_error: 0.9758, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4724, root_relative_squared_error: 0.9667, scimark_benchmark: 929.0363, usercpu_time_millis: 130, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7897, f_measure: 0.7842, kappa: 0.5439, kb_relative_information_score: 8310.863, mean_absolute_error: 0.323, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.7866, predictive_accuracy: 0.788, prior_entropy: 0.9674, recall: 0.788, relative_absolute_error: 0.6764, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4053, root_relative_squared_error: 0.8295, scimark_benchmark: 825.5282, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7091, f_measure: 0.703, kappa: 0.3844, kb_relative_information_score: 7951.7576, mean_absolute_error: 0.3079, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.7073, predictive_accuracy: 0.7008, prior_entropy: 0.9674, recall: 0.7008, relative_absolute_error: 0.6448, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.538, root_relative_squared_error: 1.101, scimark_benchmark: 1307.4861, usercpu_time_millis: 420, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9201, kappa: 0.8322, kb_relative_information_score: 15089.4789, mean_absolute_error: 0.1822, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9202, predictive_accuracy: 0.9204, prior_entropy: 0.9674, recall: 0.9204, relative_absolute_error: 0.3814, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2633, root_relative_squared_error: 0.5389, scimark_benchmark: 885.0921, usercpu_time_millis: 1840, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, f_measure: 0.9362, kappa: 0.8658, kb_relative_information_score: 16313.0272, mean_absolute_error: 0.1571, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9368, predictive_accuracy: 0.9365, prior_entropy: 0.9674, recall: 0.9365, relative_absolute_error: 0.329, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2353, root_relative_squared_error: 0.4814, scimark_benchmark: 1301.9956, usercpu_time_millis: 1740, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 1690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.9328, kappa: 0.8587, kb_relative_information_score: 16247.4882, mean_absolute_error: 0.1577, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9334, predictive_accuracy: 0.9332, prior_entropy: 0.9674, recall: 0.9332, relative_absolute_error: 0.3303, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2394, root_relative_squared_error: 0.4898, scimark_benchmark: 880.8372, usercpu_time_millis: 1030, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.9324, kappa: 0.8581, kb_relative_information_score: 18184.9746, mean_absolute_error: 0.1071, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9326, predictive_accuracy: 0.9327, prior_entropy: 0.9674, recall: 0.9327, relative_absolute_error: 0.2243, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2283, root_relative_squared_error: 0.4672, scimark_benchmark: 937.1527, usercpu_time_millis: 730, usercpu_time_millis_training: 730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.9165, kappa: 0.8246, kb_relative_information_score: 16939.7178, mean_absolute_error: 0.1348, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9165, predictive_accuracy: 0.9167, prior_entropy: 0.9674, recall: 0.9167, relative_absolute_error: 0.2823, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2558, root_relative_squared_error: 0.5235, scimark_benchmark: 869.6028, usercpu_time_millis: 410, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9323, kappa: 0.8577, kb_relative_information_score: 17539.6109, mean_absolute_error: 0.1246, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9324, predictive_accuracy: 0.9325, prior_entropy: 0.9674, recall: 0.9325, relative_absolute_error: 0.2609, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2294, root_relative_squared_error: 0.4695, scimark_benchmark: 938.9967, usercpu_time_millis: 13960, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 13890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.9316, kappa: 0.8563, kb_relative_information_score: 17559.4007, mean_absolute_error: 0.1236, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9318, predictive_accuracy: 0.9318, prior_entropy: 0.9674, recall: 0.9318, relative_absolute_error: 0.2587, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2316, root_relative_squared_error: 0.474, scimark_benchmark: 882.7843, usercpu_time_millis: 3470, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 3450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.9304, kappa: 0.8538, kb_relative_information_score: 17571.1874, mean_absolute_error: 0.1227, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9305, predictive_accuracy: 0.9306, prior_entropy: 0.9674, recall: 0.9306, relative_absolute_error: 0.2568, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2352, root_relative_squared_error: 0.4813, scimark_benchmark: 929.0363, usercpu_time_millis: 1680, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9319, f_measure: 0.9159, kappa: 0.8234, kb_relative_information_score: 17753.0747, mean_absolute_error: 0.1154, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9159, predictive_accuracy: 0.9161, prior_entropy: 0.9674, recall: 0.9161, relative_absolute_error: 0.2416, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.274, root_relative_squared_error: 0.5607, scimark_benchmark: 1336.2509, usercpu_time_millis: 220, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9351, kappa: 0.8636, kb_relative_information_score: 18585.1857, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9352, predictive_accuracy: 0.9353, prior_entropy: 0.9674, recall: 0.9353, relative_absolute_error: 0.204, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2236, root_relative_squared_error: 0.4576, scimark_benchmark: 915.6729, usercpu_time_millis: 8030, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 8000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.9304, kappa: 0.8538, kb_relative_information_score: 18241.4035, mean_absolute_error: 0.1051, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9306, predictive_accuracy: 0.9307, prior_entropy: 0.9674, recall: 0.9307, relative_absolute_error: 0.2201, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2303, root_relative_squared_error: 0.4713, scimark_benchmark: 854.5188, usercpu_time_millis: 3910, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 3890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.9244, kappa: 0.8409, kb_relative_information_score: 17816.7204, mean_absolute_error: 0.1147, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9249, predictive_accuracy: 0.9248, prior_entropy: 0.9674, recall: 0.9248, relative_absolute_error: 0.2401, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2391, root_relative_squared_error: 0.4892, scimark_benchmark: 1336.2509, usercpu_time_millis: 1540, usercpu_time_millis_training: 1540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.966, f_measure: 0.9121, kappa: 0.8153, kb_relative_information_score: 17015.2857, mean_absolute_error: 0.1317, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9123, predictive_accuracy: 0.9125, prior_entropy: 0.9674, recall: 0.9125, relative_absolute_error: 0.2757, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2584, root_relative_squared_error: 0.5288, scimark_benchmark: 943.1756, usercpu_time_millis: 1130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9555, f_measure: 0.8938, kappa: 0.7772, kb_relative_information_score: 16022.6881, mean_absolute_error: 0.1531, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.8938, predictive_accuracy: 0.8941, prior_entropy: 0.9674, recall: 0.8941, relative_absolute_error: 0.3206, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2795, root_relative_squared_error: 0.572, scimark_benchmark: 1313.9994, usercpu_time_millis: 400, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9421, f_measure: 0.8868, kappa: 0.7618, kb_relative_information_score: 15784.348, mean_absolute_error: 0.1543, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.8871, predictive_accuracy: 0.8874, prior_entropy: 0.9674, recall: 0.8874, relative_absolute_error: 0.3232, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2931, root_relative_squared_error: 0.5998, scimark_benchmark: 924.3698, usercpu_time_millis: 6960, usercpu_time_millis_testing: 6960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9303, f_measure: 0.8838, kappa: 0.756, kb_relative_information_score: 16232.2729, mean_absolute_error: 0.1416, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.8838, predictive_accuracy: 0.8842, prior_entropy: 0.9674, recall: 0.8842, relative_absolute_error: 0.2965, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3015, root_relative_squared_error: 0.617, scimark_benchmark: 940.3347, usercpu_time_millis: 6340, usercpu_time_millis_testing: 6340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7528, f_measure: 0.7756, kappa: 0.5248, kb_relative_information_score: 12262.9797, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.7814, predictive_accuracy: 0.7814, prior_entropy: 0.9674, recall: 0.7814, relative_absolute_error: 0.4578, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4676, root_relative_squared_error: 0.9568, scimark_benchmark: 1363.454, usercpu_time_millis: 1020, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5962, f_measure: 0.6098, kappa: 0.2226, kb_relative_information_score: 7237.2539, mean_absolute_error: 0.3209, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.7577, predictive_accuracy: 0.6791, prior_entropy: 0.9674, recall: 0.6791, relative_absolute_error: 0.6719, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.5665, root_relative_squared_error: 1.1593, scimark_benchmark: 938.343, usercpu_time_millis: 136200, usercpu_time_millis_testing: 10430, usercpu_time_millis_training: 125770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8857, f_measure: 0.8984, kappa: 0.7858, kb_relative_information_score: 18068.3017, mean_absolute_error: 0.1005, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9006, predictive_accuracy: 0.8995, prior_entropy: 0.9674, recall: 0.8995, relative_absolute_error: 0.2104, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3169, root_relative_squared_error: 0.6486, scimark_benchmark: 939.449, usercpu_time_millis: 310, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9707, f_measure: 0.9231, kappa: 0.8384, kb_relative_information_score: 17346.6333, mean_absolute_error: 0.1258, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9232, predictive_accuracy: 0.9233, prior_entropy: 0.9674, recall: 0.9233, relative_absolute_error: 0.2634, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2457, root_relative_squared_error: 0.5029, scimark_benchmark: 944.0517, usercpu_time_millis: 4560, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 4550,

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