Task
Supervised Classification on mfeat-karhunen

Supervised Classification on mfeat-karhunen

Task 1896 Supervised Classification mfeat-karhunen 169 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8757, f_measure: 0.7225, kappa: 0.692, kb_relative_information_score: 14211.524, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7227, predictive_accuracy: 0.7228, prior_entropy: 3.3219, recall: 0.7228, relative_absolute_error: 0.3392, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2191, root_relative_squared_error: 0.7303, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.766, kappa: 0.741, kb_relative_information_score: 14187.4305, mean_absolute_error: 0.0764, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7677, predictive_accuracy: 0.7669, prior_entropy: 3.3219, recall: 0.7669, relative_absolute_error: 0.4242, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.6162, scimark_benchmark: 851.2074, usercpu_time_millis: 5340, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 5330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.9517, kappa: 0.9438, kb_relative_information_score: 18942.7392, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9594, predictive_accuracy: 0.9495, prior_entropy: 3.3219, recall: 0.9495, relative_absolute_error: 0.0562, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1005, root_relative_squared_error: 0.3352, scimark_benchmark: 931.771, usercpu_time_millis: 12710, usercpu_time_millis_testing: 5260, usercpu_time_millis_training: 7450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.9517, kappa: 0.9438, kb_relative_information_score: 18942.7392, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9594, predictive_accuracy: 0.9495, prior_entropy: 3.3219, recall: 0.9495, relative_absolute_error: 0.0562, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1005, root_relative_squared_error: 0.3352, scimark_benchmark: 941.6675, usercpu_time_millis: 13810, usercpu_time_millis_testing: 5930, usercpu_time_millis_training: 7880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9587, kappa: 0.9541, kb_relative_information_score: 19173.6373, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9589, predictive_accuracy: 0.9587, prior_entropy: 3.3219, recall: 0.9587, relative_absolute_error: 0.0502, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0828, root_relative_squared_error: 0.276, scimark_benchmark: 941.6675, usercpu_time_millis: 390, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.8826, kappa: 0.8698, kb_relative_information_score: 16307.5512, mean_absolute_error: 0.0541, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8829, predictive_accuracy: 0.8828, prior_entropy: 3.3219, recall: 0.8828, relative_absolute_error: 0.3003, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1421, root_relative_squared_error: 0.4735, scimark_benchmark: 941.6675, usercpu_time_millis: 1110, usercpu_time_millis_training: 1110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9587, kappa: 0.9541, kb_relative_information_score: 19173.6373, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9589, predictive_accuracy: 0.9587, prior_entropy: 3.3219, recall: 0.9587, relative_absolute_error: 0.0502, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0828, root_relative_squared_error: 0.276, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9611, kappa: 0.9568, kb_relative_information_score: 16125.1559, mean_absolute_error: 0.0636, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9614, predictive_accuracy: 0.9612, prior_entropy: 3.3219, recall: 0.9612, relative_absolute_error: 0.3533, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.132, root_relative_squared_error: 0.4401, scimark_benchmark: 931.771, usercpu_time_millis: 1820, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 1720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.9517, kappa: 0.9438, kb_relative_information_score: 18942.7392, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9594, predictive_accuracy: 0.9495, prior_entropy: 3.3219, recall: 0.9495, relative_absolute_error: 0.0562, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1005, root_relative_squared_error: 0.3352, scimark_benchmark: 941.3847, usercpu_time_millis: 10990, usercpu_time_millis_testing: 5940, usercpu_time_millis_training: 5050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.8267, kappa: 0.8069, kb_relative_information_score: 16009.9191, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8279, predictive_accuracy: 0.8263, prior_entropy: 3.3219, recall: 0.8263, relative_absolute_error: 0.2413, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.5445, scimark_benchmark: 939.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9611, kappa: 0.9568, kb_relative_information_score: 16125.1559, mean_absolute_error: 0.0636, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9614, predictive_accuracy: 0.9612, prior_entropy: 3.3219, recall: 0.9612, relative_absolute_error: 0.3533, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.132, root_relative_squared_error: 0.4401, scimark_benchmark: 943.1009, usercpu_time_millis: 2020, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 1880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8757, f_measure: 0.7225, kappa: 0.692, kb_relative_information_score: 14211.524, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7227, predictive_accuracy: 0.7228, prior_entropy: 3.3219, recall: 0.7228, relative_absolute_error: 0.3392, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2191, root_relative_squared_error: 0.7303, scimark_benchmark: 819.5729, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9224, kappa: 0.9134, kb_relative_information_score: 18461.1685, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9233, predictive_accuracy: 0.9221, prior_entropy: 3.3219, recall: 0.9221, relative_absolute_error: 0.0918, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1133, root_relative_squared_error: 0.3776, scimark_benchmark: 938.1282, usercpu_time_millis: 180, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9587, kappa: 0.9541, kb_relative_information_score: 19173.6373, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9589, predictive_accuracy: 0.9587, prior_entropy: 3.3219, recall: 0.9587, relative_absolute_error: 0.0502, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0828, root_relative_squared_error: 0.276, scimark_benchmark: 930.404, usercpu_time_millis: 360, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.8826, kappa: 0.8698, kb_relative_information_score: 16307.5512, mean_absolute_error: 0.0541, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8829, predictive_accuracy: 0.8828, prior_entropy: 3.3219, recall: 0.8828, relative_absolute_error: 0.3003, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1421, root_relative_squared_error: 0.4735, scimark_benchmark: 933.3455, usercpu_time_millis: 1060, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9587, kappa: 0.9541, kb_relative_information_score: 19173.6373, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9589, predictive_accuracy: 0.9587, prior_entropy: 3.3219, recall: 0.9587, relative_absolute_error: 0.0502, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0828, root_relative_squared_error: 0.276, scimark_benchmark: 932.438, usercpu_time_millis: 380, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9611, kappa: 0.9568, kb_relative_information_score: 16125.1559, mean_absolute_error: 0.0636, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9614, predictive_accuracy: 0.9612, prior_entropy: 3.3219, recall: 0.9612, relative_absolute_error: 0.3533, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.132, root_relative_squared_error: 0.4401, scimark_benchmark: 936.9595, usercpu_time_millis: 2050, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 1900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9707, kappa: 0.9675, kb_relative_information_score: 16802.1849, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9709, predictive_accuracy: 0.9708, prior_entropy: 3.3219, recall: 0.9708, relative_absolute_error: 0.2994, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1166, root_relative_squared_error: 0.3888, scimark_benchmark: 873.7533, usercpu_time_millis: 132730, usercpu_time_millis_testing: 48800, usercpu_time_millis_training: 83930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9689, kappa: 0.9654, kb_relative_information_score: 16797.5605, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.969, predictive_accuracy: 0.9689, prior_entropy: 3.3219, recall: 0.9689, relative_absolute_error: 0.2988, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1174, root_relative_squared_error: 0.3912, scimark_benchmark: 934.7923, usercpu_time_millis: 58780, usercpu_time_millis_testing: 17070, usercpu_time_millis_training: 41710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9654, kappa: 0.9616, kb_relative_information_score: 16763.1397, mean_absolute_error: 0.054, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9656, predictive_accuracy: 0.9654, prior_entropy: 3.3219, recall: 0.9654, relative_absolute_error: 0.3, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1194, root_relative_squared_error: 0.3981, scimark_benchmark: 939.7883, usercpu_time_millis: 27320, usercpu_time_millis_testing: 6610, usercpu_time_millis_training: 20710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9569, kappa: 0.9521, kb_relative_information_score: 16722.1351, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9571, predictive_accuracy: 0.9569, prior_entropy: 3.3219, recall: 0.9569, relative_absolute_error: 0.299, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1228, root_relative_squared_error: 0.4093, scimark_benchmark: 930.5033, usercpu_time_millis: 12430, usercpu_time_millis_testing: 2420, usercpu_time_millis_training: 10010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9406, kappa: 0.9341, kb_relative_information_score: 16629.7138, mean_absolute_error: 0.0537, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9407, predictive_accuracy: 0.9407, prior_entropy: 3.3219, recall: 0.9407, relative_absolute_error: 0.2982, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1294, root_relative_squared_error: 0.4314, scimark_benchmark: 926.5859, usercpu_time_millis: 5830, usercpu_time_millis_testing: 770, usercpu_time_millis_training: 5060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8493, f_measure: 0.4929, kappa: 0.4455, kb_relative_information_score: 8854.4284, mean_absolute_error: 0.1299, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.4908, predictive_accuracy: 0.501, prior_entropy: 3.3219, recall: 0.501, relative_absolute_error: 0.7214, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2548, root_relative_squared_error: 0.8494, scimark_benchmark: 941.9549, usercpu_time_millis: 310, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6834, f_measure: 0.0871, kappa: 0.1051, kb_relative_information_score: 4107.3665, mean_absolute_error: 0.1677, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.0608, predictive_accuracy: 0.1946, prior_entropy: 3.3219, recall: 0.1946, relative_absolute_error: 0.9316, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2897, root_relative_squared_error: 0.9655, scimark_benchmark: 936.1714, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6834, f_measure: 0.0871, kappa: 0.1051, kb_relative_information_score: 4107.3665, mean_absolute_error: 0.1677, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.0608, predictive_accuracy: 0.1946, prior_entropy: 3.3219, recall: 0.1946, relative_absolute_error: 0.9316, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2897, root_relative_squared_error: 0.9655, scimark_benchmark: 935.6052, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6834, f_measure: 0.0871, kappa: 0.1051, kb_relative_information_score: 4107.3665, mean_absolute_error: 0.1677, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.0608, predictive_accuracy: 0.1946, prior_entropy: 3.3219, recall: 0.1946, relative_absolute_error: 0.9316, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2897, root_relative_squared_error: 0.9655, scimark_benchmark: 940.0055, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6834, f_measure: 0.0871, kappa: 0.1051, kb_relative_information_score: 4107.3665, mean_absolute_error: 0.1677, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.0608, predictive_accuracy: 0.1946, prior_entropy: 3.3219, recall: 0.1946, relative_absolute_error: 0.9316, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2897, root_relative_squared_error: 0.9655, scimark_benchmark: 938.3115, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6834, f_measure: 0.0871, kappa: 0.1051, kb_relative_information_score: 4107.3665, mean_absolute_error: 0.1677, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.0608, predictive_accuracy: 0.1946, prior_entropy: 3.3219, recall: 0.1946, relative_absolute_error: 0.9316, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2897, root_relative_squared_error: 0.9655, scimark_benchmark: 941.9549, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0182, kb_relative_information_score: 1176.3652, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.01, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.4142, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9353, kappa: 0.9281, kb_relative_information_score: 17358.2549, mean_absolute_error: 0.0414, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9355, predictive_accuracy: 0.9353, prior_entropy: 3.3219, recall: 0.9353, relative_absolute_error: 0.2298, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1176, root_relative_squared_error: 0.392, scimark_benchmark: 941.9549, usercpu_time_millis: 6210, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 5970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9288, kappa: 0.9211, kb_relative_information_score: 15856.4152, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9289, predictive_accuracy: 0.929, prior_entropy: 3.3219, recall: 0.929, relative_absolute_error: 0.3425, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1414, root_relative_squared_error: 0.4712, scimark_benchmark: 924.4107, usercpu_time_millis: 27610, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 27550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7699, f_measure: 0.2597, kappa: 0.2361, kb_relative_information_score: 4082.8983, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.3106, predictive_accuracy: 0.3125, prior_entropy: 3.3219, recall: 0.3125, relative_absolute_error: 0.93, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.287, root_relative_squared_error: 0.9565, scimark_benchmark: 931.7994, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8757, f_measure: 0.7225, kappa: 0.692, kb_relative_information_score: 14211.524, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7227, predictive_accuracy: 0.7228, prior_entropy: 3.3219, recall: 0.7228, relative_absolute_error: 0.3392, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2191, root_relative_squared_error: 0.7303, scimark_benchmark: 935.6052, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.766, kappa: 0.741, kb_relative_information_score: 14187.4305, mean_absolute_error: 0.0764, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7677, predictive_accuracy: 0.7669, prior_entropy: 3.3219, recall: 0.7669, relative_absolute_error: 0.4242, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.6162, scimark_benchmark: 934.929, usercpu_time_millis: 6120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 6110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.9517, kappa: 0.9438, kb_relative_information_score: 18942.7392, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9594, predictive_accuracy: 0.9495, prior_entropy: 3.3219, recall: 0.9495, relative_absolute_error: 0.0562, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1005, root_relative_squared_error: 0.3352, scimark_benchmark: 928.8135, usercpu_time_millis: 10700, usercpu_time_millis_testing: 5470, usercpu_time_millis_training: 5230,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9224, kappa: 0.9134, kb_relative_information_score: 18461.1685, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9233, predictive_accuracy: 0.9221, prior_entropy: 3.3219, recall: 0.9221, relative_absolute_error: 0.0918, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1133, root_relative_squared_error: 0.3776, scimark_benchmark: 922.5036, usercpu_time_millis: 180, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 100,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9156, f_measure: 0.8287, kappa: 0.8106, kb_relative_information_score: 16372.2168, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8287, predictive_accuracy: 0.8295, prior_entropy: 3.3219, recall: 0.8295, relative_absolute_error: 0.2009, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1807, root_relative_squared_error: 0.6023, scimark_benchmark: 1330.4755, usercpu_time_millis: 470, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.766, kappa: 0.741, kb_relative_information_score: 14187.4305, mean_absolute_error: 0.0764, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7677, predictive_accuracy: 0.7669, prior_entropy: 3.3219, recall: 0.7669, relative_absolute_error: 0.4242, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.6162, scimark_benchmark: 1336.0954, usercpu_time_millis: 5330, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 5320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.8267, kappa: 0.8069, kb_relative_information_score: 16009.9191, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8279, predictive_accuracy: 0.8263, prior_entropy: 3.3219, recall: 0.8263, relative_absolute_error: 0.2413, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.5445, scimark_benchmark: 1317.7919, usercpu_time_millis: 121910, usercpu_time_millis_testing: 1570, usercpu_time_millis_training: 120340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9587, kappa: 0.9541, kb_relative_information_score: 19173.6373, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9589, predictive_accuracy: 0.9587, prior_entropy: 3.3219, recall: 0.9587, relative_absolute_error: 0.0502, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0828, root_relative_squared_error: 0.276, scimark_benchmark: 1318.9519, usercpu_time_millis: 320, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9587, kappa: 0.9541, kb_relative_information_score: 19173.6373, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9589, predictive_accuracy: 0.9587, prior_entropy: 3.3219, recall: 0.9587, relative_absolute_error: 0.0502, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0828, root_relative_squared_error: 0.276, scimark_benchmark: 1336.4701, usercpu_time_millis: 270, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.8826, kappa: 0.8698, kb_relative_information_score: 16307.5512, mean_absolute_error: 0.0541, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8829, predictive_accuracy: 0.8828, prior_entropy: 3.3219, recall: 0.8828, relative_absolute_error: 0.3003, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1421, root_relative_squared_error: 0.4735, scimark_benchmark: 1336.4701, usercpu_time_millis: 920, usercpu_time_millis_training: 920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9611, kappa: 0.9568, kb_relative_information_score: 16125.1559, mean_absolute_error: 0.0636, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9614, predictive_accuracy: 0.9612, prior_entropy: 3.3219, recall: 0.9612, relative_absolute_error: 0.3533, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.132, root_relative_squared_error: 0.4401, scimark_benchmark: 1345.7919, usercpu_time_millis: 1870, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 1750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.9525, kappa: 0.9473, kb_relative_information_score: 18987.0579, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9527, predictive_accuracy: 0.9526, prior_entropy: 3.3219, recall: 0.9526, relative_absolute_error: 0.0613, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0934, root_relative_squared_error: 0.3114, scimark_benchmark: 1337.8124, usercpu_time_millis: 2900, usercpu_time_millis_testing: 780, usercpu_time_millis_training: 2120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9587, kappa: 0.9541, kb_relative_information_score: 19173.6373, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9589, predictive_accuracy: 0.9587, prior_entropy: 3.3219, recall: 0.9587, relative_absolute_error: 0.0502, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0828, root_relative_squared_error: 0.276, scimark_benchmark: 1350.8432, usercpu_time_millis: 290, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.9517, kappa: 0.9438, kb_relative_information_score: 18942.7392, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9594, predictive_accuracy: 0.9495, prior_entropy: 3.3219, recall: 0.9495, relative_absolute_error: 0.0562, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1005, root_relative_squared_error: 0.3352, scimark_benchmark: 1267.3105, usercpu_time_millis: 9870, usercpu_time_millis_testing: 6010, usercpu_time_millis_training: 3860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9224, kappa: 0.9134, kb_relative_information_score: 18461.1685, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9233, predictive_accuracy: 0.9221, prior_entropy: 3.3219, recall: 0.9221, relative_absolute_error: 0.0918, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1133, root_relative_squared_error: 0.3776, scimark_benchmark: 938.0414, usercpu_time_millis: 180, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9587, kappa: 0.9541, kb_relative_information_score: 19173.6373, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9589, predictive_accuracy: 0.9587, prior_entropy: 3.3219, recall: 0.9587, relative_absolute_error: 0.0502, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0828, root_relative_squared_error: 0.276, scimark_benchmark: 1322.7257, usercpu_time_millis: 260, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9587, kappa: 0.9541, kb_relative_information_score: 19173.6373, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9589, predictive_accuracy: 0.9587, prior_entropy: 3.3219, recall: 0.9587, relative_absolute_error: 0.0502, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0828, root_relative_squared_error: 0.276, scimark_benchmark: 938.0414, usercpu_time_millis: 410, usercpu_time_millis_testing: 290, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.8267, kappa: 0.8069, kb_relative_information_score: 16009.9191, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8279, predictive_accuracy: 0.8263, prior_entropy: 3.3219, recall: 0.8263, relative_absolute_error: 0.2413, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.5445, scimark_benchmark: 929.0363, usercpu_time_millis: 84270, usercpu_time_millis_testing: 440, usercpu_time_millis_training: 83830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9611, kappa: 0.9568, kb_relative_information_score: 16125.1559, mean_absolute_error: 0.0636, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9614, predictive_accuracy: 0.9612, prior_entropy: 3.3219, recall: 0.9612, relative_absolute_error: 0.3533, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.132, root_relative_squared_error: 0.4401, scimark_benchmark: 1326.8946, usercpu_time_millis: 1840, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 1730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9224, kappa: 0.9134, kb_relative_information_score: 18461.1685, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9233, predictive_accuracy: 0.9221, prior_entropy: 3.3219, recall: 0.9221, relative_absolute_error: 0.0918, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1133, root_relative_squared_error: 0.3776, scimark_benchmark: 935.5075, usercpu_time_millis: 170, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.8267, kappa: 0.8069, kb_relative_information_score: 16009.9191, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8279, predictive_accuracy: 0.8263, prior_entropy: 3.3219, recall: 0.8263, relative_absolute_error: 0.2413, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.5445, scimark_benchmark: 1297.2338, usercpu_time_millis: 120610, usercpu_time_millis_testing: 1470, usercpu_time_millis_training: 119140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8757, f_measure: 0.7225, kappa: 0.692, kb_relative_information_score: 14211.524, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7227, predictive_accuracy: 0.7228, prior_entropy: 3.3219, recall: 0.7228, relative_absolute_error: 0.3392, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2191, root_relative_squared_error: 0.7303, scimark_benchmark: 1371.9645, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8757, f_measure: 0.7225, kappa: 0.692, kb_relative_information_score: 14211.524, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7227, predictive_accuracy: 0.7228, prior_entropy: 3.3219, recall: 0.7228, relative_absolute_error: 0.3392, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2191, root_relative_squared_error: 0.7303, scimark_benchmark: 1347.993, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9487, f_measure: 0.5713, kappa: 0.6012, kb_relative_information_score: 6881.1353, mean_absolute_error: 0.1537, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.784, predictive_accuracy: 0.6411, prior_entropy: 3.3219, recall: 0.6411, relative_absolute_error: 0.8539, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2679, root_relative_squared_error: 0.8932, scimark_benchmark: 994.8259, usercpu_time_millis: 239530, usercpu_time_millis_testing: 239530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9545, kappa: 0.9493, kb_relative_information_score: 19094.6829, mean_absolute_error: 0.0103, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9546, predictive_accuracy: 0.9544, prior_entropy: 3.3219, recall: 0.9544, relative_absolute_error: 0.0573, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0854, root_relative_squared_error: 0.2846, scimark_benchmark: 1327.2954, usercpu_time_millis: 27030, usercpu_time_millis_training: 27030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.8957, kappa: 0.8844, kb_relative_information_score: 16386.2039, mean_absolute_error: 0.054, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.896, predictive_accuracy: 0.896, prior_entropy: 3.3219, recall: 0.896, relative_absolute_error: 0.2999, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1378, root_relative_squared_error: 0.4594, scimark_benchmark: 892.0148, usercpu_time_millis: 2330, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9425, kappa: 0.9362, kb_relative_information_score: 15386.7145, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9429, predictive_accuracy: 0.9426, prior_entropy: 3.3219, recall: 0.9426, relative_absolute_error: 0.4092, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1456, root_relative_squared_error: 0.4853, scimark_benchmark: 1347.5461, usercpu_time_millis: 10020, usercpu_time_millis_testing: 340, usercpu_time_millis_training: 9680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9361, kappa: 0.9292, kb_relative_information_score: 15344.5453, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9365, predictive_accuracy: 0.9363, prior_entropy: 3.3219, recall: 0.9363, relative_absolute_error: 0.4102, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1472, root_relative_squared_error: 0.4907, scimark_benchmark: 1342.1678, usercpu_time_millis: 2170, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 2120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9058, kappa: 0.8955, kb_relative_information_score: 16443.6974, mean_absolute_error: 0.0541, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9062, predictive_accuracy: 0.906, prior_entropy: 3.3219, recall: 0.906, relative_absolute_error: 0.3005, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1344, root_relative_squared_error: 0.4479, scimark_benchmark: 892.0148, usercpu_time_millis: 17200, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 17120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9143, f_measure: 0.8291, kappa: 0.8108, kb_relative_information_score: 16250.9689, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8289, predictive_accuracy: 0.8297, prior_entropy: 3.3219, recall: 0.8297, relative_absolute_error: 0.2207, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1772, root_relative_squared_error: 0.5907, scimark_benchmark: 1342.4239, usercpu_time_millis: 2170, usercpu_time_millis_training: 2170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9527, kappa: 0.9474, kb_relative_information_score: 18926.9688, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9529, predictive_accuracy: 0.9527, prior_entropy: 3.3219, recall: 0.9527, relative_absolute_error: 0.0798, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0849, root_relative_squared_error: 0.2829, scimark_benchmark: 1340.9497, usercpu_time_millis: 11520, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 11510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.8267, kappa: 0.8069, kb_relative_information_score: 16009.9191, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8279, predictive_accuracy: 0.8263, prior_entropy: 3.3219, recall: 0.8263, relative_absolute_error: 0.2413, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.5445, scimark_benchmark: 935.5075, usercpu_time_millis: 83700, usercpu_time_millis_testing: 450, usercpu_time_millis_training: 83250,

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