OpenML
Supervised Classification on sylva_prior

Supervised Classification on sylva_prior

Task 3893 Supervised Classification sylva_prior 286 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9731, kappa: 0.7891, kb_relative_information_score: 8289.5543, mean_absolute_error: 0.0302, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9792, predictive_accuracy: 0.9706, prior_entropy: 0.3338, recall: 0.9706, relative_absolute_error: 0.261, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1547, root_relative_squared_error: 0.6435, scimark_benchmark: 1887.4343, usercpu_time_millis: 2277.6146, usercpu_time_millis_testing: 62.4004, usercpu_time_millis_training: 2215.2142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.9903, kappa: 0.9165, kb_relative_information_score: 12125.9381, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9904, predictive_accuracy: 0.9903, prior_entropy: 0.3338, recall: 0.9903, relative_absolute_error: 0.1188, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0915, root_relative_squared_error: 0.3807, scimark_benchmark: 1806.5905, usercpu_time_millis: 2527.2162, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 2511.6161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9637, f_measure: 0.9929, kappa: 0.9389, kb_relative_information_score: 12956.6684, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9929, predictive_accuracy: 0.9929, prior_entropy: 0.3338, recall: 0.9929, relative_absolute_error: 0.08, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0831, root_relative_squared_error: 0.3458, scimark_benchmark: 1806.5905, usercpu_time_millis: 3853.2247, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 3837.6246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9915, kappa: 0.9265, kb_relative_information_score: 12047.5451, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9915, predictive_accuracy: 0.9915, prior_entropy: 0.3338, recall: 0.9915, relative_absolute_error: 0.1204, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0824, root_relative_squared_error: 0.3429, scimark_benchmark: 1806.5905, usercpu_time_millis: 4071.6261, usercpu_time_millis_testing: 374.4024, usercpu_time_millis_training: 3697.2237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9941, kappa: 0.9488, kb_relative_information_score: 10892.2822, mean_absolute_error: 0.0224, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9941, predictive_accuracy: 0.9942, prior_entropy: 0.3338, recall: 0.9942, relative_absolute_error: 0.1939, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0795, root_relative_squared_error: 0.3307, scimark_benchmark: 1806.5905, usercpu_time_millis: 6910.8443, usercpu_time_millis_testing: 499.2032, usercpu_time_millis_training: 6411.6411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9499, f_measure: 0.9885, kappa: 0.9005, kb_relative_information_score: 12347.2499, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9885, predictive_accuracy: 0.9885, prior_entropy: 0.3338, recall: 0.9885, relative_absolute_error: 0.0998, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1071, root_relative_squared_error: 0.4454, scimark_benchmark: 1806.5905, usercpu_time_millis: 11154.0715, usercpu_time_millis_testing: 9157.2587, usercpu_time_millis_training: 1996.8128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.9907, kappa: 0.9195, kb_relative_information_score: 12716.79, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9907, predictive_accuracy: 0.9906, prior_entropy: 0.3338, recall: 0.9906, relative_absolute_error: 0.0818, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0968, root_relative_squared_error: 0.4029, scimark_benchmark: 1806.5905, usercpu_time_millis: 32105.0058, usercpu_time_millis_testing: 32105.0058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9731, kappa: 0.7891, kb_relative_information_score: 8289.5543, mean_absolute_error: 0.0302, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9792, predictive_accuracy: 0.9706, prior_entropy: 0.3338, recall: 0.9706, relative_absolute_error: 0.261, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1547, root_relative_squared_error: 0.6435, scimark_benchmark: 1877.5305, usercpu_time_millis: 1107.6071, usercpu_time_millis_testing: 62.4004, usercpu_time_millis_training: 1045.2067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.977, kappa: 0.8177, kb_relative_information_score: 9574.2164, mean_absolute_error: 0.0252, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9818, predictive_accuracy: 0.9752, prior_entropy: 0.3338, recall: 0.9752, relative_absolute_error: 0.218, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1494, root_relative_squared_error: 0.6216, scimark_benchmark: 1850.8887, usercpu_time_millis: 1076.4069, usercpu_time_millis_testing: 873.6056, usercpu_time_millis_training: 202.8013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, f_measure: 0.9087, kb_relative_information_score: -17.2542, mean_absolute_error: 0.1156, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.8807, predictive_accuracy: 0.9385, prior_entropy: 0.3338, recall: 0.9385, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.2403, root_relative_squared_error: 1, scimark_benchmark: 1850.8887, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9922, kappa: 0.9332, kb_relative_information_score: 12717.1111, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9924, predictive_accuracy: 0.9921, prior_entropy: 0.3338, recall: 0.9921, relative_absolute_error: 0.0985, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0852, root_relative_squared_error: 0.3545, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9919, kappa: 0.9299, kb_relative_information_score: 11427.0695, mean_absolute_error: 0.0212, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9919, predictive_accuracy: 0.9918, prior_entropy: 0.3338, recall: 0.9918, relative_absolute_error: 0.1836, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0871, root_relative_squared_error: 0.3624, scimark_benchmark: 972.587, usercpu_time_millis: 6700, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 6690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9908, kappa: 0.9216, kb_relative_information_score: 11770.0248, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.991, predictive_accuracy: 0.9908, prior_entropy: 0.3338, recall: 0.9908, relative_absolute_error: 0.154, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0856, root_relative_squared_error: 0.3563, scimark_benchmark: 851.2074, usercpu_time_millis: 24610, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 24590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9922, kappa: 0.9332, kb_relative_information_score: 12717.1111, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9924, predictive_accuracy: 0.9921, prior_entropy: 0.3338, recall: 0.9921, relative_absolute_error: 0.0985, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0852, root_relative_squared_error: 0.3545, scimark_benchmark: 942.2392, usercpu_time_millis: 1340, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 1280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9919, kappa: 0.9299, kb_relative_information_score: 11427.0695, mean_absolute_error: 0.0212, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9919, predictive_accuracy: 0.9918, prior_entropy: 0.3338, recall: 0.9918, relative_absolute_error: 0.1836, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0871, root_relative_squared_error: 0.3624, scimark_benchmark: 935.2002, usercpu_time_millis: 14330, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 14300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9946, kappa: 0.9535, kb_relative_information_score: 12871.5576, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9946, predictive_accuracy: 0.9946, prior_entropy: 0.3338, recall: 0.9946, relative_absolute_error: 0.0917, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0645, root_relative_squared_error: 0.2684, scimark_benchmark: 906.0979, usercpu_time_millis: 1269610, usercpu_time_millis_testing: 334820, usercpu_time_millis_training: 934790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9948, kappa: 0.9549, kb_relative_information_score: 12880.6511, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9948, predictive_accuracy: 0.9947, prior_entropy: 0.3338, recall: 0.9947, relative_absolute_error: 0.0908, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0642, root_relative_squared_error: 0.2672, scimark_benchmark: 935.5664, usercpu_time_millis: 605010, usercpu_time_millis_testing: 173840, usercpu_time_millis_training: 431170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9944, kappa: 0.9517, kb_relative_information_score: 12865.684, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9944, predictive_accuracy: 0.9944, prior_entropy: 0.3338, recall: 0.9944, relative_absolute_error: 0.0919, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.065, root_relative_squared_error: 0.2705, scimark_benchmark: 906.8974, usercpu_time_millis: 314890, usercpu_time_millis_testing: 81060, usercpu_time_millis_training: 233830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9944, kappa: 0.9519, kb_relative_information_score: 12816.1948, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9945, predictive_accuracy: 0.9944, prior_entropy: 0.3338, recall: 0.9944, relative_absolute_error: 0.0922, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0661, root_relative_squared_error: 0.2749, scimark_benchmark: 930.5033, usercpu_time_millis: 200420, usercpu_time_millis_testing: 35720, usercpu_time_millis_training: 164700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9941, kappa: 0.9494, kb_relative_information_score: 12643.6825, mean_absolute_error: 0.0109, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9942, predictive_accuracy: 0.9941, prior_entropy: 0.3338, recall: 0.9941, relative_absolute_error: 0.0942, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.068, root_relative_squared_error: 0.2829, scimark_benchmark: 938.3115, usercpu_time_millis: 59710, usercpu_time_millis_testing: 9030, usercpu_time_millis_training: 50680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9911, kappa: 0.9242, kb_relative_information_score: 12593.9368, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9913, predictive_accuracy: 0.991, prior_entropy: 0.3338, recall: 0.991, relative_absolute_error: 0.1073, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0884, root_relative_squared_error: 0.3678, scimark_benchmark: 926.5859, usercpu_time_millis: 4570, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 4540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9911, kappa: 0.9242, kb_relative_information_score: 12593.9368, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9913, predictive_accuracy: 0.991, prior_entropy: 0.3338, recall: 0.991, relative_absolute_error: 0.1073, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0884, root_relative_squared_error: 0.3678, scimark_benchmark: 929.0296, usercpu_time_millis: 2660, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 2630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9911, kappa: 0.9242, kb_relative_information_score: 12593.9368, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9913, predictive_accuracy: 0.991, prior_entropy: 0.3338, recall: 0.991, relative_absolute_error: 0.1073, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0884, root_relative_squared_error: 0.3678, scimark_benchmark: 894.7131, usercpu_time_millis: 2610, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9911, kappa: 0.9242, kb_relative_information_score: 12593.9368, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9913, predictive_accuracy: 0.991, prior_entropy: 0.3338, recall: 0.991, relative_absolute_error: 0.1073, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0884, root_relative_squared_error: 0.3678, scimark_benchmark: 941.9549, usercpu_time_millis: 3090, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 3070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9911, kappa: 0.9242, kb_relative_information_score: 12593.9368, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9913, predictive_accuracy: 0.991, prior_entropy: 0.3338, recall: 0.991, relative_absolute_error: 0.1073, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0884, root_relative_squared_error: 0.3678, scimark_benchmark: 929.0296, usercpu_time_millis: 2640, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9894, kappa: 0.9084, kb_relative_information_score: 11053.5168, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9894, predictive_accuracy: 0.9894, prior_entropy: 0.3338, recall: 0.9894, relative_absolute_error: 0.1543, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.096, root_relative_squared_error: 0.3996, scimark_benchmark: 936.1714, usercpu_time_millis: 1380, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.9831, kappa: 0.8617, kb_relative_information_score: 11243.1004, mean_absolute_error: 0.0177, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9853, predictive_accuracy: 0.9823, prior_entropy: 0.3338, recall: 0.9823, relative_absolute_error: 0.1533, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1331, root_relative_squared_error: 0.5538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9915, kappa: 0.9263, kb_relative_information_score: 12888.0104, mean_absolute_error: 0.0087, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9915, predictive_accuracy: 0.9916, prior_entropy: 0.3338, recall: 0.9916, relative_absolute_error: 0.0752, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0867, root_relative_squared_error: 0.361, scimark_benchmark: 936.1714, usercpu_time_millis: 88350, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 88220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9906, kappa: 0.9192, kb_relative_information_score: 12704.1073, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9907, predictive_accuracy: 0.9906, prior_entropy: 0.3338, recall: 0.9906, relative_absolute_error: 0.0824, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0931, root_relative_squared_error: 0.3873, scimark_benchmark: 936.1714, usercpu_time_millis: 40330, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 40280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9888, kappa: 0.9025, kb_relative_information_score: 12364.1774, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9888, predictive_accuracy: 0.989, prior_entropy: 0.3338, recall: 0.989, relative_absolute_error: 0.1049, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0996, root_relative_squared_error: 0.4144, scimark_benchmark: 936.1714, usercpu_time_millis: 21350, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 21320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.9865, kappa: 0.8837, kb_relative_information_score: 11782.169, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9866, predictive_accuracy: 0.9865, prior_entropy: 0.3338, recall: 0.9865, relative_absolute_error: 0.1331, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1118, root_relative_squared_error: 0.4653, scimark_benchmark: 940.0055, usercpu_time_millis: 7770, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 7750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9816, kappa: 0.8445, kb_relative_information_score: 10879.7078, mean_absolute_error: 0.0205, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9823, predictive_accuracy: 0.9811, prior_entropy: 0.3338, recall: 0.9811, relative_absolute_error: 0.1771, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1331, root_relative_squared_error: 0.5536, scimark_benchmark: 929.0296, usercpu_time_millis: 6080, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 6060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9087, kb_relative_information_score: 3469.2307, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.8807, predictive_accuracy: 0.9385, prior_entropy: 0.3338, recall: 0.9385, relative_absolute_error: 0.5325, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.2481, root_relative_squared_error: 1.0323, scimark_benchmark: 941.9549, usercpu_time_millis: 130, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 70,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9929, kappa: 0.9383, kb_relative_information_score: 12676.3441, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9929, predictive_accuracy: 0.9928, prior_entropy: 0.3338, recall: 0.9928, relative_absolute_error: 0.1194, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0769, root_relative_squared_error: 0.3199, scimark_benchmark: 943.4741, usercpu_time_millis: 426950, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 426830,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9931, kappa: 0.9402, kb_relative_information_score: 12859.3649, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 0.3338, recall: 0.9931, relative_absolute_error: 0.0914, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0744, root_relative_squared_error: 0.3097, scimark_benchmark: 1326.8946, usercpu_time_millis: 5019510, usercpu_time_millis_testing: 154300, usercpu_time_millis_training: 4865210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9935, kappa: 0.9436, kb_relative_information_score: 10784.9323, mean_absolute_error: 0.0251, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9935, predictive_accuracy: 0.9935, prior_entropy: 0.3338, recall: 0.9935, relative_absolute_error: 0.217, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0816, root_relative_squared_error: 0.3394, scimark_benchmark: 1337.6765, usercpu_time_millis: 51960, usercpu_time_millis_testing: 2020, usercpu_time_millis_training: 49940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9918, kappa: 0.9279, kb_relative_information_score: 9907.5005, mean_absolute_error: 0.0281, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9918, predictive_accuracy: 0.9919, prior_entropy: 0.3338, recall: 0.9919, relative_absolute_error: 0.2429, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0891, root_relative_squared_error: 0.3708, scimark_benchmark: 1064.8317, usercpu_time_millis: 3300, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 3220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9649, kappa: 0.6604, kb_relative_information_score: 6236.8726, mean_absolute_error: 0.0505, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9693, predictive_accuracy: 0.9693, prior_entropy: 0.3338, recall: 0.9693, relative_absolute_error: 0.4368, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1534, root_relative_squared_error: 0.6383, scimark_benchmark: 1288.1375, usercpu_time_millis: 4817550, usercpu_time_millis_testing: 4817550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8323, f_measure: 0.9744, kappa: 0.7637, kb_relative_information_score: 10171.2673, mean_absolute_error: 0.0238, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9753, predictive_accuracy: 0.9762, prior_entropy: 0.3338, recall: 0.9762, relative_absolute_error: 0.2056, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1541, root_relative_squared_error: 0.6413, scimark_benchmark: 1307.3764, usercpu_time_millis: 630, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.9907, kappa: 0.9195, kb_relative_information_score: 12721.4908, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9907, predictive_accuracy: 0.9906, prior_entropy: 0.3338, recall: 0.9906, relative_absolute_error: 0.0811, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0968, root_relative_squared_error: 0.4029, scimark_benchmark: 1327.9121, usercpu_time_millis: 516240, usercpu_time_millis_testing: 516220, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9087, kb_relative_information_score: -112791.1094, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.8807, predictive_accuracy: 0.9385, prior_entropy: 0.3338, recall: 0.9385, relative_absolute_error: 4.2276, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.4886, root_relative_squared_error: 2.0332, scimark_benchmark: 1348.8637, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.9935, kappa: 0.9442, kb_relative_information_score: 13238.9275, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9936, predictive_accuracy: 0.9935, prior_entropy: 0.3338, recall: 0.9935, relative_absolute_error: 0.0559, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0804, root_relative_squared_error: 0.3344, scimark_benchmark: 1316.8289, usercpu_time_millis: 11070, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 10940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.9087, kb_relative_information_score: 4.4209, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.8807, predictive_accuracy: 0.9385, prior_entropy: 0.3338, recall: 0.9385, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.2403, root_relative_squared_error: 1, scimark_benchmark: 1327.9121, usercpu_time_millis: 2510, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9919, kappa: 0.9299, kb_relative_information_score: 11427.0695, mean_absolute_error: 0.0212, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9919, predictive_accuracy: 0.9918, prior_entropy: 0.3338, recall: 0.9918, relative_absolute_error: 0.1836, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0871, root_relative_squared_error: 0.3624, scimark_benchmark: 1311.7039, usercpu_time_millis: 5910, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 5900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9489, f_measure: 0.9925, kappa: 0.9348, kb_relative_information_score: 12893.5428, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9925, predictive_accuracy: 0.9926, prior_entropy: 0.3338, recall: 0.9926, relative_absolute_error: 0.0823, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0854, root_relative_squared_error: 0.3555, scimark_benchmark: 1349.1028, usercpu_time_millis: 2950, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9936, kappa: 0.9443, kb_relative_information_score: 10892.3238, mean_absolute_error: 0.0243, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9936, predictive_accuracy: 0.9936, prior_entropy: 0.3338, recall: 0.9936, relative_absolute_error: 0.2104, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0803, root_relative_squared_error: 0.334, scimark_benchmark: 1317.0962, usercpu_time_millis: 23810, usercpu_time_millis_testing: 760, usercpu_time_millis_training: 23050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9935, kappa: 0.9437, kb_relative_information_score: 10785.353, mean_absolute_error: 0.0249, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9935, predictive_accuracy: 0.9935, prior_entropy: 0.3338, recall: 0.9935, relative_absolute_error: 0.2153, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0815, root_relative_squared_error: 0.3392, scimark_benchmark: 1292.1375, usercpu_time_millis: 16170, usercpu_time_millis_testing: 350, usercpu_time_millis_training: 15820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9947, kappa: 0.9543, kb_relative_information_score: 12924.1773, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9947, predictive_accuracy: 0.9947, prior_entropy: 0.3338, recall: 0.9947, relative_absolute_error: 0.0816, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.065, root_relative_squared_error: 0.2705, scimark_benchmark: 1349.1028, usercpu_time_millis: 9600, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 9580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9932, kappa: 0.9411, kb_relative_information_score: 12578.8539, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9932, predictive_accuracy: 0.9931, prior_entropy: 0.3338, recall: 0.9931, relative_absolute_error: 0.1066, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0732, root_relative_squared_error: 0.3046, scimark_benchmark: 1322.4054, usercpu_time_millis: 37340, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 37230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9387, f_measure: 0.9879, kappa: 0.8949, kb_relative_information_score: 12129.6902, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9879, predictive_accuracy: 0.9879, prior_entropy: 0.3338, recall: 0.9879, relative_absolute_error: 0.1184, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.108, root_relative_squared_error: 0.4493, scimark_benchmark: 1340.9946, usercpu_time_millis: 6880, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 6650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9387, f_measure: 0.9879, kappa: 0.8949, kb_relative_information_score: 12129.6902, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9879, predictive_accuracy: 0.9879, prior_entropy: 0.3338, recall: 0.9879, relative_absolute_error: 0.1184, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.108, root_relative_squared_error: 0.4493, scimark_benchmark: 1312.5307, usercpu_time_millis: 8170, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 7910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9922, kappa: 0.9332, kb_relative_information_score: 12717.1111, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9924, predictive_accuracy: 0.9921, prior_entropy: 0.3338, recall: 0.9921, relative_absolute_error: 0.0985, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0852, root_relative_squared_error: 0.3545, scimark_benchmark: 1340.1351, usercpu_time_millis: 1260, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 1200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9947, kappa: 0.9543, kb_relative_information_score: 13436.0462, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9947, predictive_accuracy: 0.9947, prior_entropy: 0.3338, recall: 0.9947, relative_absolute_error: 0.0463, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0731, root_relative_squared_error: 0.3043, scimark_benchmark: 1330.7934, usercpu_time_millis: 5790, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 5760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9942, kappa: 0.9502, kb_relative_information_score: 9397.7641, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9943, predictive_accuracy: 0.9942, prior_entropy: 0.3338, recall: 0.9942, relative_absolute_error: 0.2476, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0845, root_relative_squared_error: 0.3515, scimark_benchmark: 1315.4655, usercpu_time_millis: 850, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9945, kappa: 0.9531, kb_relative_information_score: 13213.9295, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9946, predictive_accuracy: 0.9945, prior_entropy: 0.3338, recall: 0.9945, relative_absolute_error: 0.0643, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.065, root_relative_squared_error: 0.2706, scimark_benchmark: 1334.8495, usercpu_time_millis: 4780, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 4740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.9907, kappa: 0.9195, kb_relative_information_score: 12716.79, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9907, predictive_accuracy: 0.9906, prior_entropy: 0.3338, recall: 0.9906, relative_absolute_error: 0.0818, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0968, root_relative_squared_error: 0.4029, scimark_benchmark: 1334.8495, usercpu_time_millis: 61720, usercpu_time_millis_testing: 61720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9926, kappa: 0.9361, kb_relative_information_score: 4651.2172, mean_absolute_error: 0.0432, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9926, predictive_accuracy: 0.9925, prior_entropy: 0.3338, recall: 0.9925, relative_absolute_error: 0.3737, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1131, root_relative_squared_error: 0.4708, scimark_benchmark: 1334.8272, usercpu_time_millis: 43240, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 43190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9919, kappa: 0.9299, kb_relative_information_score: 11427.0695, mean_absolute_error: 0.0212, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9919, predictive_accuracy: 0.9918, prior_entropy: 0.3338, recall: 0.9918, relative_absolute_error: 0.1836, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0871, root_relative_squared_error: 0.3624, scimark_benchmark: 1301.9956, usercpu_time_millis: 5030, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 5020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9942, kappa: 0.9501, kb_relative_information_score: 13275.4767, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9943, predictive_accuracy: 0.9942, prior_entropy: 0.3338, recall: 0.9942, relative_absolute_error: 0.0596, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0725, root_relative_squared_error: 0.3018, scimark_benchmark: 1341.7207, usercpu_time_millis: 4680, usercpu_time_millis_testing: 1620, usercpu_time_millis_training: 3060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9908, kappa: 0.9216, kb_relative_information_score: 11770.0248, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.991, predictive_accuracy: 0.9908, prior_entropy: 0.3338, recall: 0.9908, relative_absolute_error: 0.154, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0856, root_relative_squared_error: 0.3563, scimark_benchmark: 1342.2905, usercpu_time_millis: 18050, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 18030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9919, kappa: 0.9299, kb_relative_information_score: 11427.0695, mean_absolute_error: 0.0212, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9919, predictive_accuracy: 0.9918, prior_entropy: 0.3338, recall: 0.9918, relative_absolute_error: 0.1836, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0871, root_relative_squared_error: 0.3624, scimark_benchmark: 1327.9952, usercpu_time_millis: 4590, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 4580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9927, kappa: 0.9376, kb_relative_information_score: 12766.8629, mean_absolute_error: 0.0087, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9928, predictive_accuracy: 0.9927, prior_entropy: 0.3338, recall: 0.9927, relative_absolute_error: 0.0756, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0806, root_relative_squared_error: 0.3352, scimark_benchmark: 1367.8403, usercpu_time_millis: 42250, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 42160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9936, kappa: 0.9441, kb_relative_information_score: 10756.4583, mean_absolute_error: 0.0249, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9936, predictive_accuracy: 0.9936, prior_entropy: 0.3338, recall: 0.9936, relative_absolute_error: 0.2155, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.082, root_relative_squared_error: 0.3414, scimark_benchmark: 1329.4192, usercpu_time_millis: 4800, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 4640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9922, kappa: 0.9332, kb_relative_information_score: 12717.1111, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9924, predictive_accuracy: 0.9921, prior_entropy: 0.3338, recall: 0.9921, relative_absolute_error: 0.0985, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0852, root_relative_squared_error: 0.3545, scimark_benchmark: 932.0242, usercpu_time_millis: 1380, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 1320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9771, kappa: 0.818, kb_relative_information_score: 9593.9401, mean_absolute_error: 0.0251, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9818, predictive_accuracy: 0.9753, prior_entropy: 0.3338, recall: 0.9753, relative_absolute_error: 0.2169, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1489, root_relative_squared_error: 0.6197, scimark_benchmark: 1363.454, usercpu_time_millis: 1340, usercpu_time_millis_testing: 1070, usercpu_time_millis_training: 270,

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