Task
Supervised Classification on page-blocks

Supervised Classification on page-blocks

Task 260 Supervised Classification page-blocks 324 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9229, f_measure: 0.9584, kappa: 0.7733, kb_relative_information_score: 1231.0409, mean_absolute_error: 0.0214, mean_prior_absolute_error: 0.0747, number_of_instances: 1806, precision: 0.9594, predictive_accuracy: 0.9618, prior_entropy: 0.6391, recall: 0.9618, relative_absolute_error: 0.2861, root_mean_prior_squared_error: 0.1912, root_mean_squared_error: 0.1116, root_relative_squared_error: 0.584, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.962, kappa: 0.7969, kb_relative_information_score: 1238.2189, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.0747, number_of_instances: 1806, precision: 0.9602, predictive_accuracy: 0.964, prior_entropy: 0.6391, recall: 0.964, relative_absolute_error: 0.285, root_mean_prior_squared_error: 0.1912, root_mean_squared_error: 0.1074, root_relative_squared_error: 0.5616, scimark_benchmark: 851.2074, usercpu_time_millis: 2050, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5974, f_measure: 0.8909, kappa: 0.3024, kb_relative_information_score: 630.0007, mean_absolute_error: 0.0326, mean_prior_absolute_error: 0.0747, number_of_instances: 1806, precision: 0.8925, predictive_accuracy: 0.9186, prior_entropy: 0.6391, recall: 0.9186, relative_absolute_error: 0.4357, root_mean_prior_squared_error: 0.1912, root_mean_squared_error: 0.1804, root_relative_squared_error: 0.9439, scimark_benchmark: 916.0735, usercpu_time_millis: 33280, usercpu_time_millis_testing: 2650, usercpu_time_millis_training: 30630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5974, f_measure: 0.8909, kappa: 0.3024, kb_relative_information_score: 630.0007, mean_absolute_error: 0.0326, mean_prior_absolute_error: 0.0747, number_of_instances: 1806, precision: 0.8925, predictive_accuracy: 0.9186, prior_entropy: 0.6391, recall: 0.9186, relative_absolute_error: 0.4357, root_mean_prior_squared_error: 0.1912, root_mean_squared_error: 0.1804, root_relative_squared_error: 0.9439, scimark_benchmark: 941.6675, usercpu_time_millis: 50350, usercpu_time_millis_testing: 2870, usercpu_time_millis_training: 47480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9643, kappa: 0.8087, kb_relative_information_score: 1292.7076, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.0747, number_of_instances: 1806, precision: 0.9667, predictive_accuracy: 0.9635, prior_entropy: 0.6391, recall: 0.9635, relative_absolute_error: 0.2224, root_mean_prior_squared_error: 0.1912, root_mean_squared_error: 0.1079, root_relative_squared_error: 0.5646, scimark_benchmark: 941.6675, usercpu_time_millis: 80, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9643, kappa: 0.8087, kb_relative_information_score: 1292.7076, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.0747, number_of_instances: 1806, precision: 0.9667, predictive_accuracy: 0.9635, prior_entropy: 0.6391, recall: 0.9635, relative_absolute_error: 0.2224, root_mean_prior_squared_error: 0.1912, root_mean_squared_error: 0.1079, root_relative_squared_error: 0.5646, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9643, kappa: 0.8087, kb_relative_information_score: 1292.7076, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.0747, number_of_instances: 1806, precision: 0.9667, predictive_accuracy: 0.9635, prior_entropy: 0.6391, recall: 0.9635, relative_absolute_error: 0.2224, root_mean_prior_squared_error: 0.1912, root_mean_squared_error: 0.1079, root_relative_squared_error: 0.5646, scimark_benchmark: 941.6675, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9693, kappa: 0.8314, kb_relative_information_score: 1325.5233, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.0747, number_of_instances: 1806, precision: 0.9693, predictive_accuracy: 0.9695, prior_entropy: 0.6391, recall: 0.9695, relative_absolute_error: 0.2449, root_mean_prior_squared_error: 0.1912, root_mean_squared_error: 0.0956, root_relative_squared_error: 0.4998, scimark_benchmark: 941.6675, usercpu_time_millis: 490, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9643, kappa: 0.8087, kb_relative_information_score: 1292.7076, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.0747, number_of_instances: 1806, precision: 0.9667, predictive_accuracy: 0.9635, prior_entropy: 0.6391, recall: 0.9635, relative_absolute_error: 0.2224, root_mean_prior_squared_error: 0.1912, root_mean_squared_error: 0.1079, root_relative_squared_error: 0.5646, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9726, kappa: 0.8498, kb_relative_information_score: 1336.5891, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.0747, number_of_instances: 1806, precision: 0.9726, predictive_accuracy: 0.9729, prior_entropy: 0.6391, recall: 0.9729, relative_absolute_error: 0.2282, root_mean_prior_squared_error: 0.1912, root_mean_squared_error: 0.0939, root_relative_squared_error: 0.4911, scimark_benchmark: 931.771, usercpu_time_millis: 2820, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 2500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5974, f_measure: 0.8909, kappa: 0.3024, kb_relative_information_score: 630.0007, mean_absolute_error: 0.0326, mean_prior_absolute_error: 0.0747, number_of_instances: 1806, precision: 0.8925, predictive_accuracy: 0.9186, prior_entropy: 0.6391, recall: 0.9186, relative_absolute_error: 0.4357, root_mean_prior_squared_error: 0.1912, root_mean_squared_error: 0.1804, root_relative_squared_error: 0.9439, scimark_benchmark: 937.5117, usercpu_time_millis: 58300, usercpu_time_millis_testing: 2890, usercpu_time_millis_training: 55410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9643, kappa: 0.8087, kb_relative_information_score: 1292.7076, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.0747, number_of_instances: 1806, precision: 0.9667, predictive_accuracy: 0.9635, prior_entropy: 0.6391, recall: 0.9635, relative_absolute_error: 0.2224, root_mean_prior_squared_error: 0.1912, root_mean_squared_error: 0.1079, root_relative_squared_error: 0.5646, scimark_benchmark: 974.2014, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9643, kappa: 0.8087, kb_relative_information_score: 1292.7076, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.0747, number_of_instances: 1806, precision: 0.9667, predictive_accuracy: 0.9635, prior_entropy: 0.6391, recall: 0.9635, relative_absolute_error: 0.2224, root_mean_prior_squared_error: 0.1912, root_mean_squared_error: 0.1079, root_relative_squared_error: 0.5646, scimark_benchmark: 941.3847, usercpu_time_millis: 80, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9643, kappa: 0.8087, kb_relative_information_score: 1292.7076, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.0747, number_of_instances: 1806, precision: 0.9667, predictive_accuracy: 0.9635, prior_entropy: 0.6391, recall: 0.9635, relative_absolute_error: 0.2224, root_mean_prior_squared_error: 0.1912, root_mean_squared_error: 0.1079, root_relative_squared_error: 0.5646, scimark_benchmark: 974.2014, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9602, kappa: 0.783, kb_relative_information_score: 1116.2427, mean_absolute_error: 0.0265, mean_prior_absolute_error: 0.0747, number_of_instances: 1806, precision: 0.9627, predictive_accuracy: 0.959, prior_entropy: 0.6391, recall: 0.959, relative_absolute_error: 0.354, root_mean_prior_squared_error: 0.1912, root_mean_squared_error: 0.1141, root_relative_squared_error: 0.5968, scimark_benchmark: 943.1009, usercpu_time_millis: 4520, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 4460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9726, kappa: 0.8498, kb_relative_information_score: 1336.5891, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.0747, number_of_instances: 1806, precision: 0.9726, predictive_accuracy: 0.9729, prior_entropy: 0.6391, recall: 0.9729, relative_absolute_error: 0.2282, root_mean_prior_squared_error: 0.1912, root_mean_squared_error: 0.0939, root_relative_squared_error: 0.4911, scimark_benchmark: 943.1009, usercpu_time_millis: 3040, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 2720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9229, f_measure: 0.9584, kappa: 0.7733, kb_relative_information_score: 1231.0409, mean_absolute_error: 0.0214, mean_prior_absolute_error: 0.0747, number_of_instances: 1806, precision: 0.9594, predictive_accuracy: 0.9618, prior_entropy: 0.6391, recall: 0.9618, relative_absolute_error: 0.2861, root_mean_prior_squared_error: 0.1912, root_mean_squared_error: 0.1116, root_relative_squared_error: 0.584, scimark_benchmark: 819.5729, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.962, kappa: 0.7969, kb_relative_information_score: 1238.2189, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.0747, number_of_instances: 1806, precision: 0.9602, predictive_accuracy: 0.964, prior_entropy: 0.6391, recall: 0.964, relative_absolute_error: 0.285, root_mean_prior_squared_error: 0.1912, root_mean_squared_error: 0.1074, root_relative_squared_error: 0.5616, scimark_benchmark: 936.2574, usercpu_time_millis: 1660, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5974, f_measure: 0.8909, kappa: 0.3024, kb_relative_information_score: 630.0007, mean_absolute_error: 0.0326, mean_prior_absolute_error: 0.0747, number_of_instances: 1806, precision: 0.8925, predictive_accuracy: 0.9186, prior_entropy: 0.6391, recall: 0.9186, relative_absolute_error: 0.4357, root_mean_prior_squared_error: 0.1912, root_mean_squared_error: 0.1804, root_relative_squared_error: 0.9439, scimark_benchmark: 859.5223, usercpu_time_millis: 29870, usercpu_time_millis_testing: 2610, usercpu_time_millis_training: 27260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9643, kappa: 0.8087, kb_relative_information_score: 1292.7076, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.0747, number_of_instances: 1806, precision: 0.9667, predictive_accuracy: 0.9635, prior_entropy: 0.6391, recall: 0.9635, relative_absolute_error: 0.2224, root_mean_prior_squared_error: 0.1912, root_mean_squared_error: 0.1079, root_relative_squared_error: 0.5646, scimark_benchmark: 903.2737, usercpu_time_millis: 130, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9643, kappa: 0.8087, kb_relative_information_score: 1292.7076, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.0747, number_of_instances: 1806, precision: 0.9667, predictive_accuracy: 0.9635, prior_entropy: 0.6391, recall: 0.9635, relative_absolute_error: 0.2224, root_mean_prior_squared_error: 0.1912, root_mean_squared_error: 0.1079, root_relative_squared_error: 0.5646, scimark_benchmark: 938.1282, usercpu_time_millis: 140, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9643, kappa: 0.8087, kb_relative_information_score: 1292.7076, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.0747, number_of_instances: 1806, precision: 0.9667, predictive_accuracy: 0.9635, prior_entropy: 0.6391, recall: 0.9635, relative_absolute_error: 0.2224, root_mean_prior_squared_error: 0.1912, root_mean_squared_error: 0.1079, root_relative_squared_error: 0.5646, scimark_benchmark: 933.3455, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9693, kappa: 0.8314, kb_relative_information_score: 1325.5233, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.0747, number_of_instances: 1806, precision: 0.9693, predictive_accuracy: 0.9695, prior_entropy: 0.6391, recall: 0.9695, relative_absolute_error: 0.2449, root_mean_prior_squared_error: 0.1912, root_mean_squared_error: 0.0956, root_relative_squared_error: 0.4998, scimark_benchmark: 933.3455, usercpu_time_millis: 420, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9643, kappa: 0.8087, kb_relative_information_score: 1292.7076, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.0747, number_of_instances: 1806, precision: 0.9667, predictive_accuracy: 0.9635, prior_entropy: 0.6391, recall: 0.9635, relative_absolute_error: 0.2224, root_mean_prior_squared_error: 0.1912, root_mean_squared_error: 0.1079, root_relative_squared_error: 0.5646, scimark_benchmark: 945.6228, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9726, kappa: 0.8498, kb_relative_information_score: 1336.5891, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.0747, number_of_instances: 1806, precision: 0.9726, predictive_accuracy: 0.9729, prior_entropy: 0.6391, recall: 0.9729, relative_absolute_error: 0.2282, root_mean_prior_squared_error: 0.1912, root_mean_squared_error: 0.0939, root_relative_squared_error: 0.4911, scimark_benchmark: 936.9595, usercpu_time_millis: 2390, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 2240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9718, kappa: 0.8455, kb_relative_information_score: 1345.635, mean_absolute_error: 0.0184, mean_prior_absolute_error: 0.0747, number_of_instances: 1806, precision: 0.9718, predictive_accuracy: 0.9723, prior_entropy: 0.6391, recall: 0.9723, relative_absolute_error: 0.2457, root_mean_prior_squared_error: 0.1912, root_mean_squared_error: 0.0928, root_relative_squared_error: 0.4856, scimark_benchmark: 938.4601, usercpu_time_millis: 61560, usercpu_time_millis_testing: 15990, usercpu_time_millis_training: 45570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9695, kappa: 0.8326, kb_relative_information_score: 1331.3255, mean_absolute_error: 0.0187, mean_prior_absolute_error: 0.0747, number_of_instances: 1806, precision: 0.9694, predictive_accuracy: 0.9701, prior_entropy: 0.6391, recall: 0.9701, relative_absolute_error: 0.25, root_mean_prior_squared_error: 0.1912, root_mean_squared_error: 0.0945, root_relative_squared_error: 0.4943, scimark_benchmark: 938.4601, usercpu_time_millis: 29590, usercpu_time_millis_testing: 7120, usercpu_time_millis_training: 22470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9701, kappa: 0.8362, kb_relative_information_score: 1332.4365, mean_absolute_error: 0.0186, mean_prior_absolute_error: 0.0747, number_of_instances: 1806, precision: 0.9703, predictive_accuracy: 0.9707, prior_entropy: 0.6391, recall: 0.9707, relative_absolute_error: 0.2491, root_mean_prior_squared_error: 0.1912, root_mean_squared_error: 0.0936, root_relative_squared_error: 0.4897, scimark_benchmark: 917.2109, usercpu_time_millis: 13010, usercpu_time_millis_testing: 1370, usercpu_time_millis_training: 11640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9704, kappa: 0.838, kb_relative_information_score: 1338.5361, mean_absolute_error: 0.0184, mean_prior_absolute_error: 0.0747, number_of_instances: 1806, precision: 0.9705, predictive_accuracy: 0.9712, prior_entropy: 0.6391, recall: 0.9712, relative_absolute_error: 0.2457, root_mean_prior_squared_error: 0.1912, root_mean_squared_error: 0.0938, root_relative_squared_error: 0.4908, scimark_benchmark: 911.2316, usercpu_time_millis: 7280, usercpu_time_millis_testing: 890, usercpu_time_millis_training: 6390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9695, kappa: 0.8327, kb_relative_information_score: 1302.3087, mean_absolute_error: 0.0193, mean_prior_absolute_error: 0.0747, number_of_instances: 1806, precision: 0.9697, predictive_accuracy: 0.9701, prior_entropy: 0.6391, recall: 0.9701, relative_absolute_error: 0.2583, root_mean_prior_squared_error: 0.1912, root_mean_squared_error: 0.0962, root_relative_squared_error: 0.5031, scimark_benchmark: 889.4922, usercpu_time_millis: 3590, usercpu_time_millis_testing: 380, usercpu_time_millis_training: 3210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9546, kappa: 0.7579, kb_relative_information_score: 1113.7791, mean_absolute_error: 0.0232, mean_prior_absolute_error: 0.0747, number_of_instances: 1806, precision: 0.9564, predictive_accuracy: 0.9546, prior_entropy: 0.6391, recall: 0.9546, relative_absolute_error: 0.3102, root_mean_prior_squared_error: 0.1912, root_mean_squared_error: 0.1156, root_relative_squared_error: 0.6047, scimark_benchmark: 941.9549, usercpu_time_millis: 240, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9078, f_measure: 0.9078, kappa: 0.5458, kb_relative_information_score: 511.1397, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.0747, number_of_instances: 1806, precision: 0.8911, predictive_accuracy: 0.9269, prior_entropy: 0.6391, recall: 0.9269, relative_absolute_error: 0.8567, root_mean_prior_squared_error: 0.1912, root_mean_squared_error: 0.1567, root_relative_squared_error: 0.8199, scimark_benchmark: 938.3115, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9078, f_measure: 0.9078, kappa: 0.5458, kb_relative_information_score: 511.1397, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.0747, number_of_instances: 1806, precision: 0.8911, predictive_accuracy: 0.9269, prior_entropy: 0.6391, recall: 0.9269, relative_absolute_error: 0.8567, root_mean_prior_squared_error: 0.1912, root_mean_squared_error: 0.1567, root_relative_squared_error: 0.8199, scimark_benchmark: 936.1714, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9078, f_measure: 0.9078, kappa: 0.5458, kb_relative_information_score: 511.1397, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.0747, number_of_instances: 1806, precision: 0.8911, predictive_accuracy: 0.9269, prior_entropy: 0.6391, recall: 0.9269, relative_absolute_error: 0.8567, root_mean_prior_squared_error: 0.1912, root_mean_squared_error: 0.1567, root_relative_squared_error: 0.8199, scimark_benchmark: 940.0055, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9078, f_measure: 0.9078, kappa: 0.5458, kb_relative_information_score: 511.1397, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.0747, number_of_instances: 1806, precision: 0.8911, predictive_accuracy: 0.9269, prior_entropy: 0.6391, recall: 0.9269, relative_absolute_error: 0.8567, root_mean_prior_squared_error: 0.1912, root_mean_squared_error: 0.1567, root_relative_squared_error: 0.8199, scimark_benchmark: 935.6052, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9229, f_measure: 0.9584, kappa: 0.7733, kb_relative_information_score: 1231.0409, mean_absolute_error: 0.0214, mean_prior_absolute_error: 0.0747, number_of_instances: 1806, precision: 0.9594, predictive_accuracy: 0.9618, prior_entropy: 0.6391, recall: 0.9618, relative_absolute_error: 0.2861, root_mean_prior_squared_error: 0.1912, root_mean_squared_error: 0.1116, root_relative_squared_error: 0.584, scimark_benchmark: 1296.8947, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5974, f_measure: 0.8909, kappa: 0.3024, kb_relative_information_score: 630.0007, mean_absolute_error: 0.0326, mean_prior_absolute_error: 0.0747, number_of_instances: 1806, precision: 0.8925, predictive_accuracy: 0.9186, prior_entropy: 0.6391, recall: 0.9186, relative_absolute_error: 0.4357, root_mean_prior_squared_error: 0.1912, root_mean_squared_error: 0.1804, root_relative_squared_error: 0.9439, scimark_benchmark: 1317.5857, usercpu_time_millis: 111420, usercpu_time_millis_testing: 9490, usercpu_time_millis_training: 101930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9438, kappa: 0.7171, kb_relative_information_score: 1060.8606, mean_absolute_error: 0.0264, mean_prior_absolute_error: 0.0747, number_of_instances: 1806, precision: 0.9551, predictive_accuracy: 0.938, prior_entropy: 0.6391, recall: 0.938, relative_absolute_error: 0.3532, root_mean_prior_squared_error: 0.1912, root_mean_squared_error: 0.1441, root_relative_squared_error: 0.7537, scimark_benchmark: 1350.2591, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9643, kappa: 0.8087, kb_relative_information_score: 1292.7076, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.0747, number_of_instances: 1806, precision: 0.9667, predictive_accuracy: 0.9635, prior_entropy: 0.6391, recall: 0.9635, relative_absolute_error: 0.2224, root_mean_prior_squared_error: 0.1912, root_mean_squared_error: 0.1079, root_relative_squared_error: 0.5646, scimark_benchmark: 1350.2591, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9643, kappa: 0.8087, kb_relative_information_score: 1292.7076, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.0747, number_of_instances: 1806, precision: 0.9667, predictive_accuracy: 0.9635, prior_entropy: 0.6391, recall: 0.9635, relative_absolute_error: 0.2224, root_mean_prior_squared_error: 0.1912, root_mean_squared_error: 0.1079, root_relative_squared_error: 0.5646, scimark_benchmark: 1324.6442, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9726, kappa: 0.8498, kb_relative_information_score: 1336.5891, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.0747, number_of_instances: 1806, precision: 0.9726, predictive_accuracy: 0.9729, prior_entropy: 0.6391, recall: 0.9729, relative_absolute_error: 0.2282, root_mean_prior_squared_error: 0.1912, root_mean_squared_error: 0.0939, root_relative_squared_error: 0.4911, scimark_benchmark: 1310.6554, usercpu_time_millis: 2080, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 1920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5974, f_measure: 0.8909, kappa: 0.3024, kb_relative_information_score: 630.0007, mean_absolute_error: 0.0326, mean_prior_absolute_error: 0.0747, number_of_instances: 1806, precision: 0.8925, predictive_accuracy: 0.9186, prior_entropy: 0.6391, recall: 0.9186, relative_absolute_error: 0.4357, root_mean_prior_squared_error: 0.1912, root_mean_squared_error: 0.1804, root_relative_squared_error: 0.9439, scimark_benchmark: 1310.6554, usercpu_time_millis: 112590, usercpu_time_millis_testing: 11970, usercpu_time_millis_training: 100620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9643, kappa: 0.8087, kb_relative_information_score: 1292.7076, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.0747, number_of_instances: 1806, precision: 0.9667, predictive_accuracy: 0.9635, prior_entropy: 0.6391, recall: 0.9635, relative_absolute_error: 0.2224, root_mean_prior_squared_error: 0.1912, root_mean_squared_error: 0.1079, root_relative_squared_error: 0.5646, scimark_benchmark: 1329.8008, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9643, kappa: 0.8087, kb_relative_information_score: 1292.7076, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.0747, number_of_instances: 1806, precision: 0.9667, predictive_accuracy: 0.9635, prior_entropy: 0.6391, recall: 0.9635, relative_absolute_error: 0.2224, root_mean_prior_squared_error: 0.1912, root_mean_squared_error: 0.1079, root_relative_squared_error: 0.5646, scimark_benchmark: 1337.9552, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9726, kappa: 0.8498, kb_relative_information_score: 1336.5891, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.0747, number_of_instances: 1806, precision: 0.9726, predictive_accuracy: 0.9729, prior_entropy: 0.6391, recall: 0.9729, relative_absolute_error: 0.2282, root_mean_prior_squared_error: 0.1912, root_mean_squared_error: 0.0939, root_relative_squared_error: 0.4911, scimark_benchmark: 1345.6844, usercpu_time_millis: 2150, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 1990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9229, f_measure: 0.9584, kappa: 0.7733, kb_relative_information_score: 1231.0409, mean_absolute_error: 0.0214, mean_prior_absolute_error: 0.0747, number_of_instances: 1806, precision: 0.9594, predictive_accuracy: 0.9618, prior_entropy: 0.6391, recall: 0.9618, relative_absolute_error: 0.2861, root_mean_prior_squared_error: 0.1912, root_mean_squared_error: 0.1116, root_relative_squared_error: 0.584, scimark_benchmark: 1345.6844, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9438, kappa: 0.7171, kb_relative_information_score: 1060.8606, mean_absolute_error: 0.0264, mean_prior_absolute_error: 0.0747, number_of_instances: 1806, precision: 0.9551, predictive_accuracy: 0.938, prior_entropy: 0.6391, recall: 0.938, relative_absolute_error: 0.3532, root_mean_prior_squared_error: 0.1912, root_mean_squared_error: 0.1441, root_relative_squared_error: 0.7537, scimark_benchmark: 1317.5857, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9643, kappa: 0.8087, kb_relative_information_score: 1292.7076, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.0747, number_of_instances: 1806, precision: 0.9667, predictive_accuracy: 0.9635, prior_entropy: 0.6391, recall: 0.9635, relative_absolute_error: 0.2224, root_mean_prior_squared_error: 0.1912, root_mean_squared_error: 0.1079, root_relative_squared_error: 0.5646, scimark_benchmark: 1346.4374, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9643, kappa: 0.8087, kb_relative_information_score: 1292.7076, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.0747, number_of_instances: 1806, precision: 0.9667, predictive_accuracy: 0.9635, prior_entropy: 0.6391, recall: 0.9635, relative_absolute_error: 0.2224, root_mean_prior_squared_error: 0.1912, root_mean_squared_error: 0.1079, root_relative_squared_error: 0.5646, scimark_benchmark: 1318.4315, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9602, kappa: 0.783, kb_relative_information_score: 1116.2427, mean_absolute_error: 0.0265, mean_prior_absolute_error: 0.0747, number_of_instances: 1806, precision: 0.9627, predictive_accuracy: 0.959, prior_entropy: 0.6391, recall: 0.959, relative_absolute_error: 0.354, root_mean_prior_squared_error: 0.1912, root_mean_squared_error: 0.1141, root_relative_squared_error: 0.5968, scimark_benchmark: 1317.6232, usercpu_time_millis: 5200, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 5030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9726, kappa: 0.8498, kb_relative_information_score: 1336.5891, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.0747, number_of_instances: 1806, precision: 0.9726, predictive_accuracy: 0.9729, prior_entropy: 0.6391, recall: 0.9729, relative_absolute_error: 0.2282, root_mean_prior_squared_error: 0.1912, root_mean_squared_error: 0.0939, root_relative_squared_error: 0.4911, scimark_benchmark: 1367.3264, usercpu_time_millis: 2140, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 1970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9081, f_measure: 0.9669, kappa: 0.8192, kb_relative_information_score: 1296.4751, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.0747, number_of_instances: 1806, precision: 0.9672, predictive_accuracy: 0.9679, prior_entropy: 0.6391, recall: 0.9679, relative_absolute_error: 0.2335, root_mean_prior_squared_error: 0.1912, root_mean_squared_error: 0.1104, root_relative_squared_error: 0.5775, scimark_benchmark: 1330.4755, usercpu_time_millis: 200, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.962, kappa: 0.7969, kb_relative_information_score: 1238.2189, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.0747, number_of_instances: 1806, precision: 0.9602, predictive_accuracy: 0.964, prior_entropy: 0.6391, recall: 0.964, relative_absolute_error: 0.285, root_mean_prior_squared_error: 0.1912, root_mean_squared_error: 0.1074, root_relative_squared_error: 0.5616, scimark_benchmark: 1253.0071, usercpu_time_millis: 1180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5974, f_measure: 0.8909, kappa: 0.3024, kb_relative_information_score: 630.0007, mean_absolute_error: 0.0326, mean_prior_absolute_error: 0.0747, number_of_instances: 1806, precision: 0.8925, predictive_accuracy: 0.9186, prior_entropy: 0.6391, recall: 0.9186, relative_absolute_error: 0.4357, root_mean_prior_squared_error: 0.1912, root_mean_squared_error: 0.1804, root_relative_squared_error: 0.9439, scimark_benchmark: 1318.6467, usercpu_time_millis: 136320, usercpu_time_millis_testing: 9490, usercpu_time_millis_training: 126830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5974, f_measure: 0.8909, kappa: 0.3024, kb_relative_information_score: 630.0007, mean_absolute_error: 0.0326, mean_prior_absolute_error: 0.0747, number_of_instances: 1806, precision: 0.8925, predictive_accuracy: 0.9186, prior_entropy: 0.6391, recall: 0.9186, relative_absolute_error: 0.4357, root_mean_prior_squared_error: 0.1912, root_mean_squared_error: 0.1804, root_relative_squared_error: 0.9439, scimark_benchmark: 1325.3966, usercpu_time_millis: 170290, usercpu_time_millis_testing: 11900, usercpu_time_millis_training: 158390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9643, kappa: 0.8087, kb_relative_information_score: 1292.7076, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.0747, number_of_instances: 1806, precision: 0.9667, predictive_accuracy: 0.9635, prior_entropy: 0.6391, recall: 0.9635, relative_absolute_error: 0.2224, root_mean_prior_squared_error: 0.1912, root_mean_squared_error: 0.1079, root_relative_squared_error: 0.5646, scimark_benchmark: 1324.2313, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9693, kappa: 0.8314, kb_relative_information_score: 1325.5233, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.0747, number_of_instances: 1806, precision: 0.9693, predictive_accuracy: 0.9695, prior_entropy: 0.6391, recall: 0.9695, relative_absolute_error: 0.2449, root_mean_prior_squared_error: 0.1912, root_mean_squared_error: 0.0956, root_relative_squared_error: 0.4998, scimark_benchmark: 1320.1171, usercpu_time_millis: 340, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9643, kappa: 0.8087, kb_relative_information_score: 1292.7076, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.0747, number_of_instances: 1806, precision: 0.9667, predictive_accuracy: 0.9635, prior_entropy: 0.6391, recall: 0.9635, relative_absolute_error: 0.2224, root_mean_prior_squared_error: 0.1912, root_mean_squared_error: 0.1079, root_relative_squared_error: 0.5646, scimark_benchmark: 1345.0202, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9726, kappa: 0.8498, kb_relative_information_score: 1336.5891, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.0747, number_of_instances: 1806, precision: 0.9726, predictive_accuracy: 0.9729, prior_entropy: 0.6391, recall: 0.9729, relative_absolute_error: 0.2282, root_mean_prior_squared_error: 0.1912, root_mean_squared_error: 0.0939, root_relative_squared_error: 0.4911, scimark_benchmark: 1342.6744, usercpu_time_millis: 1950, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 1770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9643, kappa: 0.8087, kb_relative_information_score: 1292.7076, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.0747, number_of_instances: 1806, precision: 0.9667, predictive_accuracy: 0.9635, prior_entropy: 0.6391, recall: 0.9635, relative_absolute_error: 0.2224, root_mean_prior_squared_error: 0.1912, root_mean_squared_error: 0.1079, root_relative_squared_error: 0.5646, scimark_benchmark: 1322.7257, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9726, kappa: 0.8498, kb_relative_information_score: 1336.5891, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.0747, number_of_instances: 1806, precision: 0.9726, predictive_accuracy: 0.9729, prior_entropy: 0.6391, recall: 0.9729, relative_absolute_error: 0.2282, root_mean_prior_squared_error: 0.1912, root_mean_squared_error: 0.0939, root_relative_squared_error: 0.4911, scimark_benchmark: 1397.3209, usercpu_time_millis: 2240, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 2030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.967, kappa: 0.8212, kb_relative_information_score: 1338.3499, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.0747, number_of_instances: 1806, precision: 0.9681, predictive_accuracy: 0.9668, prior_entropy: 0.6391, recall: 0.9668, relative_absolute_error: 0.2048, root_mean_prior_squared_error: 0.1912, root_mean_squared_error: 0.1033, root_relative_squared_error: 0.5403, scimark_benchmark: 1385.8862, usercpu_time_millis: 150, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9229, f_measure: 0.9584, kappa: 0.7733, kb_relative_information_score: 1231.0409, mean_absolute_error: 0.0214, mean_prior_absolute_error: 0.0747, number_of_instances: 1806, precision: 0.9594, predictive_accuracy: 0.9618, prior_entropy: 0.6391, recall: 0.9618, relative_absolute_error: 0.2861, root_mean_prior_squared_error: 0.1912, root_mean_squared_error: 0.1116, root_relative_squared_error: 0.584, scimark_benchmark: 1355.1144, usercpu_time_millis: 160, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5974, f_measure: 0.8909, kappa: 0.3024, kb_relative_information_score: 630.0007, mean_absolute_error: 0.0326, mean_prior_absolute_error: 0.0747, number_of_instances: 1806, precision: 0.8925, predictive_accuracy: 0.9186, prior_entropy: 0.6391, recall: 0.9186, relative_absolute_error: 0.4357, root_mean_prior_squared_error: 0.1912, root_mean_squared_error: 0.1804, root_relative_squared_error: 0.9439, scimark_benchmark: 1371.4836, usercpu_time_millis: 126790, usercpu_time_millis_testing: 10200, usercpu_time_millis_training: 116590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9643, kappa: 0.8087, kb_relative_information_score: 1292.7076, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.0747, number_of_instances: 1806, precision: 0.9667, predictive_accuracy: 0.9635, prior_entropy: 0.6391, recall: 0.9635, relative_absolute_error: 0.2224, root_mean_prior_squared_error: 0.1912, root_mean_squared_error: 0.1079, root_relative_squared_error: 0.5646, scimark_benchmark: 1354.3488, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,

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