Task
Supervised Classification on mfeat-morphological

Supervised Classification on mfeat-morphological

Task 1898 Supervised Classification mfeat-morphological 375 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9474, f_measure: 0.6928, kappa: 0.669, kb_relative_information_score: 14300.9617, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6973, predictive_accuracy: 0.7021, prior_entropy: 3.3219, recall: 0.7021, relative_absolute_error: 0.4028, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2, root_relative_squared_error: 0.6666, scimark_benchmark: 1319.952, usercpu_time_millis: 1080, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6002, f_measure: 0.2974, kappa: 0.2004, kb_relative_information_score: 4948.4124, mean_absolute_error: 0.1439, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.3827, predictive_accuracy: 0.2804, prior_entropy: 3.3219, recall: 0.2804, relative_absolute_error: 0.7996, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3794, root_relative_squared_error: 1.2646, scimark_benchmark: 1322.7257, usercpu_time_millis: 3780, usercpu_time_millis_testing: 1320, usercpu_time_millis_training: 2460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, f_measure: 0.6994, kappa: 0.6669, kb_relative_information_score: 14521.6676, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6997, predictive_accuracy: 0.7003, prior_entropy: 3.3219, recall: 0.7003, relative_absolute_error: 0.3822, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.203, root_relative_squared_error: 0.6766, scimark_benchmark: 1322.0065, usercpu_time_millis: 870, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, f_measure: 0.6885, kappa: 0.6582, kb_relative_information_score: 14835.0443, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6929, predictive_accuracy: 0.6924, prior_entropy: 3.3219, recall: 0.6924, relative_absolute_error: 0.3701, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1974, root_relative_squared_error: 0.6578, scimark_benchmark: 1342.9012, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, f_measure: 0.6885, kappa: 0.6582, kb_relative_information_score: 14835.0443, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6929, predictive_accuracy: 0.6924, prior_entropy: 3.3219, recall: 0.6924, relative_absolute_error: 0.3701, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1974, root_relative_squared_error: 0.6578, scimark_benchmark: 1260.1387, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6002, f_measure: 0.2974, kappa: 0.2004, kb_relative_information_score: 4948.4124, mean_absolute_error: 0.1439, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.3827, predictive_accuracy: 0.2804, prior_entropy: 3.3219, recall: 0.2804, relative_absolute_error: 0.7996, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3794, root_relative_squared_error: 1.2646, scimark_benchmark: 1329.8008, usercpu_time_millis: 3890, usercpu_time_millis_testing: 1410, usercpu_time_millis_training: 2480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, f_measure: 0.6885, kappa: 0.6582, kb_relative_information_score: 14835.0443, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6929, predictive_accuracy: 0.6924, prior_entropy: 3.3219, recall: 0.6924, relative_absolute_error: 0.3701, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1974, root_relative_squared_error: 0.6578, scimark_benchmark: 1309.2287, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, f_measure: 0.6885, kappa: 0.6582, kb_relative_information_score: 14835.0443, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6929, predictive_accuracy: 0.6924, prior_entropy: 3.3219, recall: 0.6924, relative_absolute_error: 0.3701, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1974, root_relative_squared_error: 0.6578, scimark_benchmark: 1309.2287, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, f_measure: 0.6885, kappa: 0.6582, kb_relative_information_score: 14835.0443, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6929, predictive_accuracy: 0.6924, prior_entropy: 3.3219, recall: 0.6924, relative_absolute_error: 0.3701, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1974, root_relative_squared_error: 0.6578, scimark_benchmark: 1313.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9472, f_measure: 0.6888, kappa: 0.6727, kb_relative_information_score: 14607.442, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6971, predictive_accuracy: 0.7054, prior_entropy: 3.3219, recall: 0.7054, relative_absolute_error: 0.3989, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.196, root_relative_squared_error: 0.6533, scimark_benchmark: 1309.4998, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6002, f_measure: 0.2974, kappa: 0.2004, kb_relative_information_score: 4948.4124, mean_absolute_error: 0.1439, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.3827, predictive_accuracy: 0.2804, prior_entropy: 3.3219, recall: 0.2804, relative_absolute_error: 0.7996, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3794, root_relative_squared_error: 1.2646, scimark_benchmark: 1321.0448, usercpu_time_millis: 3850, usercpu_time_millis_testing: 1350, usercpu_time_millis_training: 2500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, f_measure: 0.6885, kappa: 0.6582, kb_relative_information_score: 14835.0443, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6929, predictive_accuracy: 0.6924, prior_entropy: 3.3219, recall: 0.6924, relative_absolute_error: 0.3701, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1974, root_relative_squared_error: 0.6578, scimark_benchmark: 1286.2211, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9517, f_measure: 0.6735, kappa: 0.6506, kb_relative_information_score: 14562.9856, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6795, predictive_accuracy: 0.6855, prior_entropy: 3.3219, recall: 0.6855, relative_absolute_error: 0.3647, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.6948, scimark_benchmark: 1340.9749, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, f_measure: 0.6885, kappa: 0.6582, kb_relative_information_score: 14835.0443, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6929, predictive_accuracy: 0.6924, prior_entropy: 3.3219, recall: 0.6924, relative_absolute_error: 0.3701, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1974, root_relative_squared_error: 0.6578, scimark_benchmark: 908.2231, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9517, f_measure: 0.6735, kappa: 0.6506, kb_relative_information_score: 14562.9856, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6795, predictive_accuracy: 0.6855, prior_entropy: 3.3219, recall: 0.6855, relative_absolute_error: 0.3647, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.6948, scimark_benchmark: 1337.3324, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, f_measure: 0.6885, kappa: 0.6582, kb_relative_information_score: 14835.0443, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6929, predictive_accuracy: 0.6924, prior_entropy: 3.3219, recall: 0.6924, relative_absolute_error: 0.3701, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1974, root_relative_squared_error: 0.6578, scimark_benchmark: 1306.9281, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, f_measure: 0.6885, kappa: 0.6582, kb_relative_information_score: 14835.0443, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6929, predictive_accuracy: 0.6924, prior_entropy: 3.3219, recall: 0.6924, relative_absolute_error: 0.3701, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1974, root_relative_squared_error: 0.6578, scimark_benchmark: 1345.6844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, f_measure: 0.6885, kappa: 0.6582, kb_relative_information_score: 14835.0443, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6929, predictive_accuracy: 0.6924, prior_entropy: 3.3219, recall: 0.6924, relative_absolute_error: 0.3701, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1974, root_relative_squared_error: 0.6578, scimark_benchmark: 1310.6554, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6002, f_measure: 0.2974, kappa: 0.2004, kb_relative_information_score: 4948.4124, mean_absolute_error: 0.1439, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.3827, predictive_accuracy: 0.2804, prior_entropy: 3.3219, recall: 0.2804, relative_absolute_error: 0.7996, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3794, root_relative_squared_error: 1.2646, scimark_benchmark: 1346.2927, usercpu_time_millis: 3860, usercpu_time_millis_testing: 1360, usercpu_time_millis_training: 2500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6002, f_measure: 0.2974, kappa: 0.2004, kb_relative_information_score: 4948.4124, mean_absolute_error: 0.1439, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.3827, predictive_accuracy: 0.2804, prior_entropy: 3.3219, recall: 0.2804, relative_absolute_error: 0.7996, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3794, root_relative_squared_error: 1.2646, scimark_benchmark: 1342.8632, usercpu_time_millis: 3770, usercpu_time_millis_testing: 1320, usercpu_time_millis_training: 2450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, f_measure: 0.6885, kappa: 0.6582, kb_relative_information_score: 14835.0443, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6929, predictive_accuracy: 0.6924, prior_entropy: 3.3219, recall: 0.6924, relative_absolute_error: 0.3701, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1974, root_relative_squared_error: 0.6578, scimark_benchmark: 930.5999, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6002, f_measure: 0.2974, kappa: 0.2004, kb_relative_information_score: 4948.4124, mean_absolute_error: 0.1439, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.3827, predictive_accuracy: 0.2804, prior_entropy: 3.3219, recall: 0.2804, relative_absolute_error: 0.7996, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3794, root_relative_squared_error: 1.2646, scimark_benchmark: 1317.5857, usercpu_time_millis: 3850, usercpu_time_millis_testing: 1350, usercpu_time_millis_training: 2500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, f_measure: 0.6885, kappa: 0.6582, kb_relative_information_score: 14835.0443, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6929, predictive_accuracy: 0.6924, prior_entropy: 3.3219, recall: 0.6924, relative_absolute_error: 0.3701, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1974, root_relative_squared_error: 0.6578, scimark_benchmark: 1340.9749, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9472, f_measure: 0.6888, kappa: 0.6727, kb_relative_information_score: 14607.442, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6971, predictive_accuracy: 0.7054, prior_entropy: 3.3219, recall: 0.7054, relative_absolute_error: 0.3989, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.196, root_relative_squared_error: 0.6533, scimark_benchmark: 933.4598, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, f_measure: 0.6994, kappa: 0.6669, kb_relative_information_score: 14521.6676, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6997, predictive_accuracy: 0.7003, prior_entropy: 3.3219, recall: 0.7003, relative_absolute_error: 0.3822, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.203, root_relative_squared_error: 0.6766, scimark_benchmark: 942.3809, usercpu_time_millis: 880, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9474, f_measure: 0.6928, kappa: 0.669, kb_relative_information_score: 14300.9617, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6973, predictive_accuracy: 0.7021, prior_entropy: 3.3219, recall: 0.7021, relative_absolute_error: 0.4028, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2, root_relative_squared_error: 0.6666, scimark_benchmark: 947.1781, usercpu_time_millis: 800, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6002, f_measure: 0.2974, kappa: 0.2004, kb_relative_information_score: 4948.4124, mean_absolute_error: 0.1439, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.3827, predictive_accuracy: 0.2804, prior_entropy: 3.3219, recall: 0.2804, relative_absolute_error: 0.7996, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3794, root_relative_squared_error: 1.2646, scimark_benchmark: 941.3847, usercpu_time_millis: 1020, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, f_measure: 0.6994, kappa: 0.6669, kb_relative_information_score: 14521.6676, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6997, predictive_accuracy: 0.7003, prior_entropy: 3.3219, recall: 0.7003, relative_absolute_error: 0.3822, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.203, root_relative_squared_error: 0.6766, scimark_benchmark: 931.771, usercpu_time_millis: 800, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, f_measure: 0.6885, kappa: 0.6582, kb_relative_information_score: 14835.0443, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6929, predictive_accuracy: 0.6924, prior_entropy: 3.3219, recall: 0.6924, relative_absolute_error: 0.3701, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1974, root_relative_squared_error: 0.6578, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9589, f_measure: 0.7094, kappa: 0.679, kb_relative_information_score: 15011.1374, mean_absolute_error: 0.0678, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.71, predictive_accuracy: 0.7111, prior_entropy: 3.3219, recall: 0.7111, relative_absolute_error: 0.3769, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1884, root_relative_squared_error: 0.6279, scimark_benchmark: 941.6675, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9512, f_measure: 0.6875, kappa: 0.6781, kb_relative_information_score: 14242.3885, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7038, predictive_accuracy: 0.7103, prior_entropy: 3.3219, recall: 0.7103, relative_absolute_error: 0.4297, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1941, root_relative_squared_error: 0.647, scimark_benchmark: 851.2074, usercpu_time_millis: 330, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6002, f_measure: 0.2974, kappa: 0.2004, kb_relative_information_score: 4948.4124, mean_absolute_error: 0.1439, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.3827, predictive_accuracy: 0.2804, prior_entropy: 3.3219, recall: 0.2804, relative_absolute_error: 0.7996, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3794, root_relative_squared_error: 1.2646, scimark_benchmark: 941.6675, usercpu_time_millis: 1190, usercpu_time_millis_testing: 430, usercpu_time_millis_training: 760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9517, f_measure: 0.6735, kappa: 0.6506, kb_relative_information_score: 14562.9856, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6795, predictive_accuracy: 0.6855, prior_entropy: 3.3219, recall: 0.6855, relative_absolute_error: 0.3647, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.6948, scimark_benchmark: 974.2014, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, f_measure: 0.6885, kappa: 0.6582, kb_relative_information_score: 14835.0443, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6929, predictive_accuracy: 0.6924, prior_entropy: 3.3219, recall: 0.6924, relative_absolute_error: 0.3701, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1974, root_relative_squared_error: 0.6578, scimark_benchmark: 974.2014, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9656, f_measure: 0.7231, kappa: 0.7161, kb_relative_information_score: 15393.0683, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7335, predictive_accuracy: 0.7445, prior_entropy: 3.3219, recall: 0.7445, relative_absolute_error: 0.3566, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1792, root_relative_squared_error: 0.5973, scimark_benchmark: 944.235, usercpu_time_millis: 2060, usercpu_time_millis_testing: 330, usercpu_time_millis_training: 1730,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, f_measure: 0.6994, kappa: 0.6669, kb_relative_information_score: 14521.6676, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6997, predictive_accuracy: 0.7003, prior_entropy: 3.3219, recall: 0.7003, relative_absolute_error: 0.3822, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.203, root_relative_squared_error: 0.6766, scimark_benchmark: 1051.249, usercpu_time_millis: 960, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 810,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, f_measure: 0.6885, kappa: 0.6582, kb_relative_information_score: 14835.0443, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6929, predictive_accuracy: 0.6924, prior_entropy: 3.3219, recall: 0.6924, relative_absolute_error: 0.3701, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1974, root_relative_squared_error: 0.6578, scimark_benchmark: 1347.1763, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9512, f_measure: 0.6875, kappa: 0.6781, kb_relative_information_score: 14242.3885, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7038, predictive_accuracy: 0.7103, prior_entropy: 3.3219, recall: 0.7103, relative_absolute_error: 0.4297, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1941, root_relative_squared_error: 0.647, scimark_benchmark: 1331.0047, usercpu_time_millis: 360, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9474, f_measure: 0.6928, kappa: 0.669, kb_relative_information_score: 14300.9617, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6973, predictive_accuracy: 0.7021, prior_entropy: 3.3219, recall: 0.7021, relative_absolute_error: 0.4028, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2, root_relative_squared_error: 0.6666, scimark_benchmark: 935.5075, usercpu_time_millis: 840, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9472, f_measure: 0.6888, kappa: 0.6727, kb_relative_information_score: 14607.442, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6971, predictive_accuracy: 0.7054, prior_entropy: 3.3219, recall: 0.7054, relative_absolute_error: 0.3989, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.196, root_relative_squared_error: 0.6533, scimark_benchmark: 1316.5668, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.961, build_cpu_time: 0.87, build_memory: 653084346.56, f_measure: 0.7194, kappa: 0.6946, kb_relative_information_score: 15357.185, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7207, predictive_accuracy: 0.7251, prior_entropy: 3.3219, recall: 0.7251, relative_absolute_error: 0.3502, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1833, root_relative_squared_error: 0.6109, scimark_benchmark: 934.3377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9617, build_cpu_time: 1.7925, build_memory: 1973571554, f_measure: 0.717, kappa: 0.6917, kb_relative_information_score: 15365.1591, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7178, predictive_accuracy: 0.7225, prior_entropy: 3.3219, recall: 0.7225, relative_absolute_error: 0.3503, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1828, root_relative_squared_error: 0.6094, scimark_benchmark: 947.1832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.758, f_measure: 0.0801, kappa: 0.1106, kb_relative_information_score: 5721.4405, mean_absolute_error: 0.1606, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.0577, predictive_accuracy: 0.1995, prior_entropy: 3.3219, recall: 0.1995, relative_absolute_error: 0.8923, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2834, root_relative_squared_error: 0.9446, scimark_benchmark: 943.1756, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.758, f_measure: 0.0801, kappa: 0.1106, kb_relative_information_score: 5721.4405, mean_absolute_error: 0.1606, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.0577, predictive_accuracy: 0.1995, prior_entropy: 3.3219, recall: 0.1995, relative_absolute_error: 0.8923, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2834, root_relative_squared_error: 0.9446, scimark_benchmark: 1372.2145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9196, f_measure: 0.6974, kappa: 0.6655, kb_relative_information_score: 14994.8816, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6981, predictive_accuracy: 0.699, prior_entropy: 3.3219, recall: 0.699, relative_absolute_error: 0.3529, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.204, root_relative_squared_error: 0.6799, scimark_benchmark: 1324.8395, usercpu_time_millis: 300, usercpu_time_millis_testing: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.758, f_measure: 0.0801, kappa: 0.1106, kb_relative_information_score: 5721.4405, mean_absolute_error: 0.1606, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.0577, predictive_accuracy: 0.1995, prior_entropy: 3.3219, recall: 0.1995, relative_absolute_error: 0.8923, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2834, root_relative_squared_error: 0.9446, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.758, f_measure: 0.0801, kappa: 0.1106, kb_relative_information_score: 5721.4405, mean_absolute_error: 0.1606, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.0577, predictive_accuracy: 0.1995, prior_entropy: 3.3219, recall: 0.1995, relative_absolute_error: 0.8923, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2834, root_relative_squared_error: 0.9446, scimark_benchmark: 1325.2092, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9248, f_measure: 0.7028, kappa: 0.6886, kb_relative_information_score: 14983.1635, mean_absolute_error: 0.0631, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7152, predictive_accuracy: 0.7197, prior_entropy: 3.3219, recall: 0.7197, relative_absolute_error: 0.3505, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1985, root_relative_squared_error: 0.6617, scimark_benchmark: 1351.788, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5769, f_measure: 0.2216, kappa: 0.1537, kb_relative_information_score: 4069.9761, mean_absolute_error: 0.1523, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.2227, predictive_accuracy: 0.2384, prior_entropy: 3.3219, recall: 0.2384, relative_absolute_error: 0.8463, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3903, root_relative_squared_error: 1.301, scimark_benchmark: 912.5006, usercpu_time_millis: 1810, usercpu_time_millis_training: 1810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9474, f_measure: 0.6928, kappa: 0.669, kb_relative_information_score: 14300.9617, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6973, predictive_accuracy: 0.7021, prior_entropy: 3.3219, recall: 0.7021, relative_absolute_error: 0.4028, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2, root_relative_squared_error: 0.6666, scimark_benchmark: 1372.2145, usercpu_time_millis: 1100, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9656, f_measure: 0.7404, kappa: 0.7124, kb_relative_information_score: 15232.5713, mean_absolute_error: 0.0668, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7432, predictive_accuracy: 0.7412, prior_entropy: 3.3219, recall: 0.7412, relative_absolute_error: 0.371, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1803, root_relative_squared_error: 0.601, scimark_benchmark: 1363.434, usercpu_time_millis: 1770, usercpu_time_millis_training: 1770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8116, f_measure: 0.6494, kappa: 0.6109, kb_relative_information_score: 12817.0539, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6496, predictive_accuracy: 0.6499, prior_entropy: 3.3219, recall: 0.6499, relative_absolute_error: 0.3886, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2616, root_relative_squared_error: 0.8718, scimark_benchmark: 1325.942, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9447, f_measure: 0.6977, kappa: 0.6856, kb_relative_information_score: 14699.1292, mean_absolute_error: 0.069, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7113, predictive_accuracy: 0.7171, prior_entropy: 3.3219, recall: 0.7171, relative_absolute_error: 0.3832, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1951, root_relative_squared_error: 0.6502, scimark_benchmark: 1318.5526, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9604, f_measure: 0.7229, kappa: 0.6958, kb_relative_information_score: 14818.2477, mean_absolute_error: 0.0706, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7252, predictive_accuracy: 0.7262, prior_entropy: 3.3219, recall: 0.7262, relative_absolute_error: 0.3924, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1871, root_relative_squared_error: 0.6237, scimark_benchmark: 1404.1865, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9603, f_measure: 0.7067, kappa: 0.6759, kb_relative_information_score: 15070.0634, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7079, predictive_accuracy: 0.7084, prior_entropy: 3.3219, recall: 0.7084, relative_absolute_error: 0.3774, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1862, root_relative_squared_error: 0.6207, scimark_benchmark: 938.9967, usercpu_time_millis: 860, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9618, f_measure: 0.7234, kappa: 0.6948, kb_relative_information_score: 15051.2205, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7241, predictive_accuracy: 0.7254, prior_entropy: 3.3219, recall: 0.7254, relative_absolute_error: 0.3702, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1858, root_relative_squared_error: 0.6195, scimark_benchmark: 1335.4072, usercpu_time_millis: 450, usercpu_time_millis_training: 450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.918, f_measure: 0.5221, kappa: 0.5162, kb_relative_information_score: 5182.9346, mean_absolute_error: 0.1634, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.5898, predictive_accuracy: 0.5646, prior_entropy: 3.3219, recall: 0.5646, relative_absolute_error: 0.908, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2784, root_relative_squared_error: 0.9279, scimark_benchmark: 930.5999, usercpu_time_millis: 6530, usercpu_time_millis_testing: 3290, usercpu_time_millis_training: 3240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9422, f_measure: 0.6964, kappa: 0.6702, kb_relative_information_score: 5544.4911, mean_absolute_error: 0.162, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.709, predictive_accuracy: 0.7032, prior_entropy: 3.3219, recall: 0.7032, relative_absolute_error: 0.8999, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2758, root_relative_squared_error: 0.9192, scimark_benchmark: 915.9324, usercpu_time_millis: 230, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9478, f_measure: 0.703, kappa: 0.6948, kb_relative_information_score: 14662.8639, mean_absolute_error: 0.0698, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7214, predictive_accuracy: 0.7254, prior_entropy: 3.3219, recall: 0.7254, relative_absolute_error: 0.3876, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1934, root_relative_squared_error: 0.6446, scimark_benchmark: 1355.7054, usercpu_time_millis: 260, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9656, f_measure: 0.7404, kappa: 0.7123, kb_relative_information_score: 15236.3432, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7431, predictive_accuracy: 0.7411, prior_entropy: 3.3219, recall: 0.7411, relative_absolute_error: 0.3707, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1803, root_relative_squared_error: 0.6009, scimark_benchmark: 1358.4523, usercpu_time_millis: 6730, usercpu_time_millis_training: 6730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.6924, kappa: 0.6715, kb_relative_information_score: 14008.9207, mean_absolute_error: 0.0864, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6977, predictive_accuracy: 0.7044, prior_entropy: 3.3219, recall: 0.7044, relative_absolute_error: 0.4798, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1929, root_relative_squared_error: 0.6429, scimark_benchmark: 1086.8793, usercpu_time_millis: 1130, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9221, f_measure: 0.7052, kappa: 0.6916, kb_relative_information_score: 14875.9276, mean_absolute_error: 0.0643, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7172, predictive_accuracy: 0.7225, prior_entropy: 3.3219, recall: 0.7225, relative_absolute_error: 0.357, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1991, root_relative_squared_error: 0.6637, scimark_benchmark: 916.5769, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.959, f_measure: 0.6932, kappa: 0.6714, kb_relative_information_score: 13991.6611, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6987, predictive_accuracy: 0.7043, prior_entropy: 3.3219, recall: 0.7043, relative_absolute_error: 0.4805, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1931, root_relative_squared_error: 0.6436, scimark_benchmark: 1345.7582, usercpu_time_millis: 610, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 460,

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