Task
Supervised Classification on segment

Supervised Classification on segment

Task 1916 Supervised Classification segment 184 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9438, kappa: 0.9346, kb_relative_information_score: 21618.6058, mean_absolute_error: 0.0201, mean_prior_absolute_error: 0.2449, number_of_instances: 23100, precision: 0.9439, predictive_accuracy: 0.9439, prior_entropy: 2.8074, recall: 0.9439, relative_absolute_error: 0.082, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1156, root_relative_squared_error: 0.3305, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9249, kappa: 0.9126, kb_relative_information_score: 20530.0559, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.2449, number_of_instances: 23100, precision: 0.9262, predictive_accuracy: 0.9251, prior_entropy: 2.8074, recall: 0.9251, relative_absolute_error: 0.1678, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1276, root_relative_squared_error: 0.3648, scimark_benchmark: 851.2074, usercpu_time_millis: 1700, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7907, f_measure: 0.6758, kappa: 0.5814, kb_relative_information_score: 14155.443, mean_absolute_error: 0.1025, mean_prior_absolute_error: 0.2449, number_of_instances: 23100, precision: 0.8115, predictive_accuracy: 0.6412, prior_entropy: 2.8074, recall: 0.6412, relative_absolute_error: 0.4186, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3202, root_relative_squared_error: 0.915, scimark_benchmark: 916.0735, usercpu_time_millis: 2920, usercpu_time_millis_testing: 870, usercpu_time_millis_training: 2050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9154, kappa: 0.9017, kb_relative_information_score: 21036.4789, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.2449, number_of_instances: 23100, precision: 0.9154, predictive_accuracy: 0.9157, prior_entropy: 2.8074, recall: 0.9157, relative_absolute_error: 0.105, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1442, root_relative_squared_error: 0.412, scimark_benchmark: 941.6675, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9651, kappa: 0.9594, kb_relative_information_score: 22234.9035, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.2449, number_of_instances: 23100, precision: 0.9652, predictive_accuracy: 0.9652, prior_entropy: 2.8074, recall: 0.9652, relative_absolute_error: 0.0467, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0898, root_relative_squared_error: 0.2567, scimark_benchmark: 941.6675, usercpu_time_millis: 70, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9651, kappa: 0.9594, kb_relative_information_score: 22234.9035, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.2449, number_of_instances: 23100, precision: 0.9652, predictive_accuracy: 0.9652, prior_entropy: 2.8074, recall: 0.9652, relative_absolute_error: 0.0467, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0898, root_relative_squared_error: 0.2567, 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: 0.998, f_measure: 0.9651, kappa: 0.9594, kb_relative_information_score: 22234.9035, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.2449, number_of_instances: 23100, precision: 0.9652, predictive_accuracy: 0.9652, prior_entropy: 2.8074, recall: 0.9652, relative_absolute_error: 0.0467, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0898, root_relative_squared_error: 0.2567, scimark_benchmark: 941.6675, usercpu_time_millis: 80, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9653, kappa: 0.9595, kb_relative_information_score: 21977.0919, mean_absolute_error: 0.0184, mean_prior_absolute_error: 0.2449, number_of_instances: 23100, precision: 0.9653, predictive_accuracy: 0.9653, prior_entropy: 2.8074, recall: 0.9653, relative_absolute_error: 0.0753, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0868, root_relative_squared_error: 0.248, scimark_benchmark: 941.6675, usercpu_time_millis: 210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9651, kappa: 0.9594, kb_relative_information_score: 22234.9035, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.2449, number_of_instances: 23100, precision: 0.9652, predictive_accuracy: 0.9652, prior_entropy: 2.8074, recall: 0.9652, relative_absolute_error: 0.0467, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0898, root_relative_squared_error: 0.2567, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9805, kappa: 0.9773, kb_relative_information_score: 22193.5163, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.2449, number_of_instances: 23100, precision: 0.9806, predictive_accuracy: 0.9806, prior_entropy: 2.8074, recall: 0.9806, relative_absolute_error: 0.0672, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0707, root_relative_squared_error: 0.2019, scimark_benchmark: 931.771, usercpu_time_millis: 800, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7907, f_measure: 0.6758, kappa: 0.5814, kb_relative_information_score: 14155.443, mean_absolute_error: 0.1025, mean_prior_absolute_error: 0.2449, number_of_instances: 23100, precision: 0.8115, predictive_accuracy: 0.6412, prior_entropy: 2.8074, recall: 0.6412, relative_absolute_error: 0.4186, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3202, root_relative_squared_error: 0.915, scimark_benchmark: 937.5117, usercpu_time_millis: 3730, usercpu_time_millis_testing: 1590, usercpu_time_millis_training: 2140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9154, kappa: 0.9017, kb_relative_information_score: 21036.4789, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.2449, number_of_instances: 23100, precision: 0.9154, predictive_accuracy: 0.9157, prior_entropy: 2.8074, recall: 0.9157, relative_absolute_error: 0.105, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1442, root_relative_squared_error: 0.412, scimark_benchmark: 932.438, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9533, kappa: 0.9456, kb_relative_information_score: 21287.9998, mean_absolute_error: 0.0275, mean_prior_absolute_error: 0.2449, number_of_instances: 23100, precision: 0.9533, predictive_accuracy: 0.9534, prior_entropy: 2.8074, recall: 0.9534, relative_absolute_error: 0.1123, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1094, root_relative_squared_error: 0.3125, scimark_benchmark: 939.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9805, kappa: 0.9773, kb_relative_information_score: 22193.5163, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.2449, number_of_instances: 23100, precision: 0.9806, predictive_accuracy: 0.9806, prior_entropy: 2.8074, recall: 0.9806, relative_absolute_error: 0.0672, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0707, root_relative_squared_error: 0.2019, scimark_benchmark: 943.1009, usercpu_time_millis: 860, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9438, kappa: 0.9346, kb_relative_information_score: 21618.6058, mean_absolute_error: 0.0201, mean_prior_absolute_error: 0.2449, number_of_instances: 23100, precision: 0.9439, predictive_accuracy: 0.9439, prior_entropy: 2.8074, recall: 0.9439, relative_absolute_error: 0.082, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1156, root_relative_squared_error: 0.3305, scimark_benchmark: 819.5729, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9249, kappa: 0.9125, kb_relative_information_score: 20529.2554, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.2449, number_of_instances: 23100, precision: 0.9262, predictive_accuracy: 0.925, prior_entropy: 2.8074, recall: 0.925, relative_absolute_error: 0.1679, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1277, root_relative_squared_error: 0.3649, scimark_benchmark: 936.2574, usercpu_time_millis: 1360, usercpu_time_millis_training: 1360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7907, f_measure: 0.6758, kappa: 0.5814, kb_relative_information_score: 14155.443, mean_absolute_error: 0.1025, mean_prior_absolute_error: 0.2449, number_of_instances: 23100, precision: 0.8115, predictive_accuracy: 0.6412, prior_entropy: 2.8074, recall: 0.6412, relative_absolute_error: 0.4186, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3202, root_relative_squared_error: 0.915, scimark_benchmark: 730.6551, usercpu_time_millis: 8240, usercpu_time_millis_testing: 4960, usercpu_time_millis_training: 3280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7907, f_measure: 0.6758, kappa: 0.5814, kb_relative_information_score: 14155.443, mean_absolute_error: 0.1025, mean_prior_absolute_error: 0.2449, number_of_instances: 23100, precision: 0.8115, predictive_accuracy: 0.6412, prior_entropy: 2.8074, recall: 0.6412, relative_absolute_error: 0.4186, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3202, root_relative_squared_error: 0.915, scimark_benchmark: 938.1282, usercpu_time_millis: 3350, usercpu_time_millis_testing: 1020, usercpu_time_millis_training: 2330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9154, kappa: 0.9017, kb_relative_information_score: 21036.4789, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.2449, number_of_instances: 23100, precision: 0.9154, predictive_accuracy: 0.9157, prior_entropy: 2.8074, recall: 0.9157, relative_absolute_error: 0.105, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1442, root_relative_squared_error: 0.412, scimark_benchmark: 938.1282, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9651, kappa: 0.9594, kb_relative_information_score: 22234.9035, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.2449, number_of_instances: 23100, precision: 0.9652, predictive_accuracy: 0.9652, prior_entropy: 2.8074, recall: 0.9652, relative_absolute_error: 0.0467, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0898, root_relative_squared_error: 0.2567, scimark_benchmark: 930.404, usercpu_time_millis: 70, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9651, kappa: 0.9594, kb_relative_information_score: 22234.9035, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.2449, number_of_instances: 23100, precision: 0.9652, predictive_accuracy: 0.9652, prior_entropy: 2.8074, recall: 0.9652, relative_absolute_error: 0.0467, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0898, root_relative_squared_error: 0.2567, scimark_benchmark: 938.1282, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9651, kappa: 0.9594, kb_relative_information_score: 22234.9035, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.2449, number_of_instances: 23100, precision: 0.9652, predictive_accuracy: 0.9652, prior_entropy: 2.8074, recall: 0.9652, relative_absolute_error: 0.0467, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0898, root_relative_squared_error: 0.2567, scimark_benchmark: 938.1282, usercpu_time_millis: 70, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9651, kappa: 0.9594, kb_relative_information_score: 22234.9035, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.2449, number_of_instances: 23100, precision: 0.9652, predictive_accuracy: 0.9652, prior_entropy: 2.8074, recall: 0.9652, relative_absolute_error: 0.0467, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0898, root_relative_squared_error: 0.2567, scimark_benchmark: 930.404, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9653, kappa: 0.9595, kb_relative_information_score: 21977.0919, mean_absolute_error: 0.0184, mean_prior_absolute_error: 0.2449, number_of_instances: 23100, precision: 0.9653, predictive_accuracy: 0.9653, prior_entropy: 2.8074, recall: 0.9653, relative_absolute_error: 0.0753, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0868, root_relative_squared_error: 0.248, scimark_benchmark: 933.3455, usercpu_time_millis: 220, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9651, kappa: 0.9594, kb_relative_information_score: 22234.9035, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.2449, number_of_instances: 23100, precision: 0.9652, predictive_accuracy: 0.9652, prior_entropy: 2.8074, recall: 0.9652, relative_absolute_error: 0.0467, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0898, root_relative_squared_error: 0.2567, scimark_benchmark: 936.9595, usercpu_time_millis: 70, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9533, kappa: 0.9456, kb_relative_information_score: 21287.9998, mean_absolute_error: 0.0275, mean_prior_absolute_error: 0.2449, number_of_instances: 23100, precision: 0.9533, predictive_accuracy: 0.9534, prior_entropy: 2.8074, recall: 0.9534, relative_absolute_error: 0.1123, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1094, root_relative_squared_error: 0.3125, scimark_benchmark: 934.695, usercpu_time_millis: 6070, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 5990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9805, kappa: 0.9773, kb_relative_information_score: 22193.5163, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.2449, number_of_instances: 23100, precision: 0.9806, predictive_accuracy: 0.9806, prior_entropy: 2.8074, recall: 0.9806, relative_absolute_error: 0.0672, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0707, root_relative_squared_error: 0.2019, scimark_benchmark: 1051.249, usercpu_time_millis: 880, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9836, kappa: 0.9809, kb_relative_information_score: 22286.2978, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.2449, number_of_instances: 23100, precision: 0.9837, predictive_accuracy: 0.9836, prior_entropy: 2.8074, recall: 0.9836, relative_absolute_error: 0.0609, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0657, root_relative_squared_error: 0.1878, scimark_benchmark: 940.1221, usercpu_time_millis: 28170, usercpu_time_millis_testing: 10400, usercpu_time_millis_training: 17770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9836, kappa: 0.9808, kb_relative_information_score: 22286.2815, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.2449, number_of_instances: 23100, precision: 0.9836, predictive_accuracy: 0.9836, prior_entropy: 2.8074, recall: 0.9836, relative_absolute_error: 0.0606, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0661, root_relative_squared_error: 0.1888, scimark_benchmark: 940.1221, usercpu_time_millis: 14100, usercpu_time_millis_testing: 4290, usercpu_time_millis_training: 9810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9833, kappa: 0.9805, kb_relative_information_score: 22273.2224, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.2449, number_of_instances: 23100, precision: 0.9833, predictive_accuracy: 0.9832, prior_entropy: 2.8074, recall: 0.9832, relative_absolute_error: 0.0612, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0672, root_relative_squared_error: 0.1922, scimark_benchmark: 917.2109, usercpu_time_millis: 5320, usercpu_time_millis_testing: 850, usercpu_time_millis_training: 4470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9812, kappa: 0.9781, kb_relative_information_score: 22254.295, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.2449, number_of_instances: 23100, precision: 0.9813, predictive_accuracy: 0.9812, prior_entropy: 2.8074, recall: 0.9812, relative_absolute_error: 0.0619, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0691, root_relative_squared_error: 0.1974, scimark_benchmark: 930.5033, usercpu_time_millis: 2720, usercpu_time_millis_testing: 430, usercpu_time_millis_training: 2290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9806, kappa: 0.9773, kb_relative_information_score: 22246.4829, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.2449, number_of_instances: 23100, precision: 0.9806, predictive_accuracy: 0.9806, prior_entropy: 2.8074, recall: 0.9806, relative_absolute_error: 0.0615, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0717, root_relative_squared_error: 0.205, scimark_benchmark: 935.6052, usercpu_time_millis: 1430, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 1190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.8737, kappa: 0.8535, kb_relative_information_score: 18267.8117, mean_absolute_error: 0.076, mean_prior_absolute_error: 0.2449, number_of_instances: 23100, precision: 0.8737, predictive_accuracy: 0.8745, prior_entropy: 2.8074, recall: 0.8745, relative_absolute_error: 0.3102, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1711, root_relative_squared_error: 0.489, scimark_benchmark: 941.9549, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7683, f_measure: 0.1874, kappa: 0.1663, kb_relative_information_score: 7179.0389, mean_absolute_error: 0.209, mean_prior_absolute_error: 0.2449, number_of_instances: 23100, precision: 0.1883, predictive_accuracy: 0.2854, prior_entropy: 2.8074, recall: 0.2854, relative_absolute_error: 0.8534, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3235, root_relative_squared_error: 0.9245, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7683, f_measure: 0.1874, kappa: 0.1663, kb_relative_information_score: 7179.0389, mean_absolute_error: 0.209, mean_prior_absolute_error: 0.2449, number_of_instances: 23100, precision: 0.1883, predictive_accuracy: 0.2854, prior_entropy: 2.8074, recall: 0.2854, relative_absolute_error: 0.8534, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3235, root_relative_squared_error: 0.9245, scimark_benchmark: 938.3115, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9651, kappa: 0.9594, kb_relative_information_score: 22234.9035, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.2449, number_of_instances: 23100, precision: 0.9652, predictive_accuracy: 0.9652, prior_entropy: 2.8074, recall: 0.9652, relative_absolute_error: 0.0467, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0898, root_relative_squared_error: 0.2567, scimark_benchmark: 1324.7884, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9651, kappa: 0.9594, kb_relative_information_score: 22234.9035, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.2449, number_of_instances: 23100, precision: 0.9652, predictive_accuracy: 0.9652, prior_entropy: 2.8074, recall: 0.9652, relative_absolute_error: 0.0467, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0898, root_relative_squared_error: 0.2567, scimark_benchmark: 1347.1763, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9438, kappa: 0.9346, kb_relative_information_score: 21618.6058, mean_absolute_error: 0.0201, mean_prior_absolute_error: 0.2449, number_of_instances: 23100, precision: 0.9439, predictive_accuracy: 0.9439, prior_entropy: 2.8074, recall: 0.9439, relative_absolute_error: 0.082, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1156, root_relative_squared_error: 0.3305, scimark_benchmark: 1324.6442, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9154, kappa: 0.9017, kb_relative_information_score: 21036.4789, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.2449, number_of_instances: 23100, precision: 0.9154, predictive_accuracy: 0.9157, prior_entropy: 2.8074, recall: 0.9157, relative_absolute_error: 0.105, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1442, root_relative_squared_error: 0.412, scimark_benchmark: 1321.8321, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9651, kappa: 0.9594, kb_relative_information_score: 22234.9035, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.2449, number_of_instances: 23100, precision: 0.9652, predictive_accuracy: 0.9652, prior_entropy: 2.8074, recall: 0.9652, relative_absolute_error: 0.0467, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0898, root_relative_squared_error: 0.2567, scimark_benchmark: 1350.7721, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9651, kappa: 0.9594, kb_relative_information_score: 22234.9035, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.2449, number_of_instances: 23100, precision: 0.9652, predictive_accuracy: 0.9652, prior_entropy: 2.8074, recall: 0.9652, relative_absolute_error: 0.0467, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0898, root_relative_squared_error: 0.2567, scimark_benchmark: 1350.7721, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9651, kappa: 0.9594, kb_relative_information_score: 22234.9035, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.2449, number_of_instances: 23100, precision: 0.9652, predictive_accuracy: 0.9652, prior_entropy: 2.8074, recall: 0.9652, relative_absolute_error: 0.0467, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0898, root_relative_squared_error: 0.2567, scimark_benchmark: 1342.2845, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9651, kappa: 0.9594, kb_relative_information_score: 22234.9035, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.2449, number_of_instances: 23100, precision: 0.9652, predictive_accuracy: 0.9652, prior_entropy: 2.8074, recall: 0.9652, relative_absolute_error: 0.0467, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0898, root_relative_squared_error: 0.2567, scimark_benchmark: 1317.6232, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9533, kappa: 0.9456, kb_relative_information_score: 21287.9998, mean_absolute_error: 0.0275, mean_prior_absolute_error: 0.2449, number_of_instances: 23100, precision: 0.9533, predictive_accuracy: 0.9534, prior_entropy: 2.8074, recall: 0.9534, relative_absolute_error: 0.1123, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1094, root_relative_squared_error: 0.3125, scimark_benchmark: 1338.5214, usercpu_time_millis: 7640, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 7390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9657, kappa: 0.9601, kb_relative_information_score: 22238.0571, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.2449, number_of_instances: 23100, precision: 0.9657, predictive_accuracy: 0.9658, prior_entropy: 2.8074, recall: 0.9658, relative_absolute_error: 0.0462, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0923, root_relative_squared_error: 0.2638, scimark_benchmark: 1334.7507, usercpu_time_millis: 920, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9682, kappa: 0.9629, kb_relative_information_score: 22248.7955, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.2449, number_of_instances: 23100, precision: 0.9683, predictive_accuracy: 0.9682, prior_entropy: 2.8074, recall: 0.9682, relative_absolute_error: 0.0434, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0933, root_relative_squared_error: 0.2666, scimark_benchmark: 1318.3027, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9249, kappa: 0.9126, kb_relative_information_score: 20530.0559, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.2449, number_of_instances: 23100, precision: 0.9262, predictive_accuracy: 0.9251, prior_entropy: 2.8074, recall: 0.9251, relative_absolute_error: 0.1678, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1276, root_relative_squared_error: 0.3648, scimark_benchmark: 1344.0499, usercpu_time_millis: 1220, usercpu_time_millis_training: 1220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7907, f_measure: 0.6758, kappa: 0.5814, kb_relative_information_score: 14155.443, mean_absolute_error: 0.1025, mean_prior_absolute_error: 0.2449, number_of_instances: 23100, precision: 0.8115, predictive_accuracy: 0.6412, prior_entropy: 2.8074, recall: 0.6412, relative_absolute_error: 0.4186, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3202, root_relative_squared_error: 0.915, scimark_benchmark: 1317.2327, usercpu_time_millis: 7410, usercpu_time_millis_testing: 4310, usercpu_time_millis_training: 3100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9651, kappa: 0.9594, kb_relative_information_score: 22234.9035, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.2449, number_of_instances: 23100, precision: 0.9652, predictive_accuracy: 0.9652, prior_entropy: 2.8074, recall: 0.9652, relative_absolute_error: 0.0467, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0898, root_relative_squared_error: 0.2567, scimark_benchmark: 1316.178, usercpu_time_millis: 80, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9651, kappa: 0.9594, kb_relative_information_score: 22234.9035, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.2449, number_of_instances: 23100, precision: 0.9652, predictive_accuracy: 0.9652, prior_entropy: 2.8074, recall: 0.9652, relative_absolute_error: 0.0467, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0898, root_relative_squared_error: 0.2567, scimark_benchmark: 1311.7317, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9653, kappa: 0.9595, kb_relative_information_score: 21977.0919, mean_absolute_error: 0.0184, mean_prior_absolute_error: 0.2449, number_of_instances: 23100, precision: 0.9653, predictive_accuracy: 0.9653, prior_entropy: 2.8074, recall: 0.9653, relative_absolute_error: 0.0753, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0868, root_relative_squared_error: 0.248, scimark_benchmark: 1335.2363, usercpu_time_millis: 180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9805, kappa: 0.9773, kb_relative_information_score: 22193.5163, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.2449, number_of_instances: 23100, precision: 0.9806, predictive_accuracy: 0.9806, prior_entropy: 2.8074, recall: 0.9806, relative_absolute_error: 0.0672, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0707, root_relative_squared_error: 0.2019, scimark_benchmark: 1292.514, usercpu_time_millis: 850, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9651, kappa: 0.9594, kb_relative_information_score: 22234.9035, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.2449, number_of_instances: 23100, precision: 0.9652, predictive_accuracy: 0.9652, prior_entropy: 2.8074, recall: 0.9652, relative_absolute_error: 0.0467, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0898, root_relative_squared_error: 0.2567, scimark_benchmark: 1362.9924, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9651, kappa: 0.9594, kb_relative_information_score: 22234.9035, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.2449, number_of_instances: 23100, precision: 0.9652, predictive_accuracy: 0.9652, prior_entropy: 2.8074, recall: 0.9652, relative_absolute_error: 0.0467, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0898, root_relative_squared_error: 0.2567, scimark_benchmark: 1324.6608, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9805, kappa: 0.9773, kb_relative_information_score: 22193.5163, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.2449, number_of_instances: 23100, precision: 0.9806, predictive_accuracy: 0.9806, prior_entropy: 2.8074, recall: 0.9806, relative_absolute_error: 0.0672, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0707, root_relative_squared_error: 0.2019, scimark_benchmark: 1371.174, usercpu_time_millis: 680, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7907, f_measure: 0.6758, kappa: 0.5814, kb_relative_information_score: 14155.443, mean_absolute_error: 0.1025, mean_prior_absolute_error: 0.2449, number_of_instances: 23100, precision: 0.8115, predictive_accuracy: 0.6412, prior_entropy: 2.8074, recall: 0.6412, relative_absolute_error: 0.4186, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3202, root_relative_squared_error: 0.915, scimark_benchmark: 1347.4442, usercpu_time_millis: 5120, usercpu_time_millis_testing: 2220, usercpu_time_millis_training: 2900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9805, kappa: 0.9773, kb_relative_information_score: 22193.5163, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.2449, number_of_instances: 23100, precision: 0.9806, predictive_accuracy: 0.9806, prior_entropy: 2.8074, recall: 0.9806, relative_absolute_error: 0.0672, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0707, root_relative_squared_error: 0.2019, scimark_benchmark: 1260.1387, usercpu_time_millis: 710, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9805, kappa: 0.9773, kb_relative_information_score: 22193.5163, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.2449, number_of_instances: 23100, precision: 0.9806, predictive_accuracy: 0.9806, prior_entropy: 2.8074, recall: 0.9806, relative_absolute_error: 0.0672, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0707, root_relative_squared_error: 0.2019, scimark_benchmark: 1322.7257, usercpu_time_millis: 730, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7907, f_measure: 0.6758, kappa: 0.5814, kb_relative_information_score: 14155.443, mean_absolute_error: 0.1025, mean_prior_absolute_error: 0.2449, number_of_instances: 23100, precision: 0.8115, predictive_accuracy: 0.6412, prior_entropy: 2.8074, recall: 0.6412, relative_absolute_error: 0.4186, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3202, root_relative_squared_error: 0.915, scimark_benchmark: 918.0213, usercpu_time_millis: 3770, usercpu_time_millis_testing: 1350, usercpu_time_millis_training: 2420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9651, kappa: 0.9594, kb_relative_information_score: 22234.9035, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.2449, number_of_instances: 23100, precision: 0.9652, predictive_accuracy: 0.9652, prior_entropy: 2.8074, recall: 0.9652, relative_absolute_error: 0.0467, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0898, root_relative_squared_error: 0.2567, scimark_benchmark: 918.0213, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9651, kappa: 0.9594, kb_relative_information_score: 22234.9035, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.2449, number_of_instances: 23100, precision: 0.9652, predictive_accuracy: 0.9652, prior_entropy: 2.8074, recall: 0.9652, relative_absolute_error: 0.0467, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0898, root_relative_squared_error: 0.2567, scimark_benchmark: 918.0213, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9154, kappa: 0.9017, kb_relative_information_score: 21036.4789, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.2449, number_of_instances: 23100, precision: 0.9154, predictive_accuracy: 0.9157, prior_entropy: 2.8074, recall: 0.9157, relative_absolute_error: 0.105, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1442, root_relative_squared_error: 0.412, scimark_benchmark: 1345.7204, 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