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Supervised Classification on tr45.wc

Supervised Classification on tr45.wc

Task 4223 Supervised Classification tr45.wc 98 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9585, f_measure: 0.9162, kappa: 0.9025, kb_relative_information_score: 6145.5571, mean_absolute_error: 0.0192, mean_prior_absolute_error: 0.172, number_of_instances: 6900, precision: 0.918, predictive_accuracy: 0.9162, prior_entropy: 3.0415, recall: 0.9162, relative_absolute_error: 0.1117, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1253, root_relative_squared_error: 0.4272, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.8512, kappa: 0.8261, kb_relative_information_score: 5512.8014, mean_absolute_error: 0.0441, mean_prior_absolute_error: 0.172, number_of_instances: 6900, precision: 0.8581, predictive_accuracy: 0.8501, prior_entropy: 3.0415, recall: 0.8501, relative_absolute_error: 0.2565, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1445, root_relative_squared_error: 0.4929, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9302, kappa: 0.9203, kb_relative_information_score: 6148.7345, mean_absolute_error: 0.0275, mean_prior_absolute_error: 0.172, number_of_instances: 6900, precision: 0.9318, predictive_accuracy: 0.9316, prior_entropy: 3.0415, recall: 0.9316, relative_absolute_error: 0.1599, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.107, root_relative_squared_error: 0.365, scimark_benchmark: 939.8002, usercpu_time_millis: 1210340, usercpu_time_millis_testing: 545680, usercpu_time_millis_training: 664660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9585, f_measure: 0.9162, kappa: 0.9025, kb_relative_information_score: 6145.5571, mean_absolute_error: 0.0192, mean_prior_absolute_error: 0.172, number_of_instances: 6900, precision: 0.918, predictive_accuracy: 0.9162, prior_entropy: 3.0415, recall: 0.9162, relative_absolute_error: 0.1117, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1253, root_relative_squared_error: 0.4272, scimark_benchmark: 942.2392, usercpu_time_millis: 12550, usercpu_time_millis_testing: 490, usercpu_time_millis_training: 12060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.8512, kappa: 0.8261, kb_relative_information_score: 5512.8014, mean_absolute_error: 0.0441, mean_prior_absolute_error: 0.172, number_of_instances: 6900, precision: 0.8581, predictive_accuracy: 0.8501, prior_entropy: 3.0415, recall: 0.8501, relative_absolute_error: 0.2565, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1445, root_relative_squared_error: 0.4929, scimark_benchmark: 935.2002, usercpu_time_millis: 192140, usercpu_time_millis_training: 192140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4854, f_measure: 0.0873, kb_relative_information_score: 6.9628, mean_absolute_error: 0.1721, mean_prior_absolute_error: 0.172, number_of_instances: 6900, precision: 0.0538, predictive_accuracy: 0.2319, prior_entropy: 3.0415, recall: 0.2319, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.2932, root_relative_squared_error: 1.0001, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6783, f_measure: 0.2899, kappa: 0.2588, kb_relative_information_score: 1586.3545, mean_absolute_error: 0.1373, mean_prior_absolute_error: 0.172, number_of_instances: 6900, precision: 0.2611, predictive_accuracy: 0.4043, prior_entropy: 3.0415, recall: 0.4043, relative_absolute_error: 0.7978, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.2621, root_relative_squared_error: 0.8938, scimark_benchmark: 938.3115, usercpu_time_millis: 3510, usercpu_time_millis_training: 3510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.8911, kappa: 0.8792, kb_relative_information_score: 5521.6367, mean_absolute_error: 0.0522, mean_prior_absolute_error: 0.172, number_of_instances: 6900, precision: 0.8949, predictive_accuracy: 0.8967, prior_entropy: 3.0415, recall: 0.8967, relative_absolute_error: 0.3033, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1372, root_relative_squared_error: 0.4679, scimark_benchmark: 936.7286, usercpu_time_millis: 5225100, usercpu_time_millis_testing: 400, usercpu_time_millis_training: 5224700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6783, f_measure: 0.2899, kappa: 0.2588, kb_relative_information_score: 1586.3545, mean_absolute_error: 0.1373, mean_prior_absolute_error: 0.172, number_of_instances: 6900, precision: 0.2611, predictive_accuracy: 0.4043, prior_entropy: 3.0415, recall: 0.4043, relative_absolute_error: 0.7978, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.2621, root_relative_squared_error: 0.8938, scimark_benchmark: 936.1714, usercpu_time_millis: 3310, usercpu_time_millis_training: 3310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6783, f_measure: 0.2899, kappa: 0.2588, kb_relative_information_score: 1586.3545, mean_absolute_error: 0.1373, mean_prior_absolute_error: 0.172, number_of_instances: 6900, precision: 0.2611, predictive_accuracy: 0.4043, prior_entropy: 3.0415, recall: 0.4043, relative_absolute_error: 0.7978, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.2621, root_relative_squared_error: 0.8938, scimark_benchmark: 941.9549, usercpu_time_millis: 3680, usercpu_time_millis_training: 3680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6783, f_measure: 0.2899, kappa: 0.2588, kb_relative_information_score: 1586.3545, mean_absolute_error: 0.1373, mean_prior_absolute_error: 0.172, number_of_instances: 6900, precision: 0.2611, predictive_accuracy: 0.4043, prior_entropy: 3.0415, recall: 0.4043, relative_absolute_error: 0.7978, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.2621, root_relative_squared_error: 0.8938, scimark_benchmark: 938.3115, usercpu_time_millis: 3520, usercpu_time_millis_training: 3520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6783, f_measure: 0.2899, kappa: 0.2588, kb_relative_information_score: 1586.3545, mean_absolute_error: 0.1373, mean_prior_absolute_error: 0.172, number_of_instances: 6900, precision: 0.2611, predictive_accuracy: 0.4043, prior_entropy: 3.0415, recall: 0.4043, relative_absolute_error: 0.7978, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.2621, root_relative_squared_error: 0.8938, scimark_benchmark: 940.0055, usercpu_time_millis: 3370, usercpu_time_millis_training: 3370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0873, kb_relative_information_score: 811.7138, mean_absolute_error: 0.1536, mean_prior_absolute_error: 0.172, number_of_instances: 6900, precision: 0.0538, predictive_accuracy: 0.2319, prior_entropy: 3.0415, recall: 0.2319, relative_absolute_error: 0.8929, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.3919, root_relative_squared_error: 1.3368, scimark_benchmark: 938.3115, usercpu_time_millis: 620, usercpu_time_millis_testing: 400, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9411, kappa: 0.9324, kb_relative_information_score: 6000.8984, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.172, number_of_instances: 6900, precision: 0.9419, predictive_accuracy: 0.9419, prior_entropy: 3.0415, recall: 0.9419, relative_absolute_error: 0.2108, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1093, root_relative_squared_error: 0.3729, scimark_benchmark: 929.0296, usercpu_time_millis: 395380, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 395260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.833, f_measure: 0.3257, kappa: 0.3022, kb_relative_information_score: 1664.0796, mean_absolute_error: 0.1409, mean_prior_absolute_error: 0.172, number_of_instances: 6900, precision: 0.29, predictive_accuracy: 0.4346, prior_entropy: 3.0415, recall: 0.4346, relative_absolute_error: 0.8188, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.2545, root_relative_squared_error: 0.8679, scimark_benchmark: 933.0918, usercpu_time_millis: 2790, usercpu_time_millis_training: 2790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9585, f_measure: 0.9162, kappa: 0.9025, kb_relative_information_score: 6145.5571, mean_absolute_error: 0.0192, mean_prior_absolute_error: 0.172, number_of_instances: 6900, precision: 0.918, predictive_accuracy: 0.9162, prior_entropy: 3.0415, recall: 0.9162, relative_absolute_error: 0.1117, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1253, root_relative_squared_error: 0.4272, scimark_benchmark: 926.4745, usercpu_time_millis: 11220, usercpu_time_millis_testing: 470, usercpu_time_millis_training: 10750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.8512, kappa: 0.8261, kb_relative_information_score: 5512.8014, mean_absolute_error: 0.0441, mean_prior_absolute_error: 0.172, number_of_instances: 6900, precision: 0.8581, predictive_accuracy: 0.8501, prior_entropy: 3.0415, recall: 0.8501, relative_absolute_error: 0.2565, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1445, root_relative_squared_error: 0.4929, scimark_benchmark: 919.6941, usercpu_time_millis: 188020, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 188010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9585, f_measure: 0.9162, kappa: 0.9025, kb_relative_information_score: 6145.5571, mean_absolute_error: 0.0192, mean_prior_absolute_error: 0.172, number_of_instances: 6900, precision: 0.918, predictive_accuracy: 0.9162, prior_entropy: 3.0415, recall: 0.9162, relative_absolute_error: 0.1117, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1253, root_relative_squared_error: 0.4272, scimark_benchmark: 901.8743, usercpu_time_millis: 12290, usercpu_time_millis_testing: 460, usercpu_time_millis_training: 11830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9585, f_measure: 0.9162, kappa: 0.9025, kb_relative_information_score: 6145.5571, mean_absolute_error: 0.0192, mean_prior_absolute_error: 0.172, number_of_instances: 6900, precision: 0.918, predictive_accuracy: 0.9162, prior_entropy: 3.0415, recall: 0.9162, relative_absolute_error: 0.1117, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1253, root_relative_squared_error: 0.4272, scimark_benchmark: 1317.8359, usercpu_time_millis: 9570, usercpu_time_millis_testing: 410, usercpu_time_millis_training: 9160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.966, f_measure: 0.9152, kappa: 0.9019, kb_relative_information_score: 6207.6553, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.172, number_of_instances: 6900, precision: 0.9153, predictive_accuracy: 0.9158, prior_entropy: 3.0415, recall: 0.9158, relative_absolute_error: 0.0977, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1271, root_relative_squared_error: 0.4334, scimark_benchmark: 926.6704, usercpu_time_millis: 10797610, usercpu_time_millis_training: 10797610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9585, f_measure: 0.9162, kappa: 0.9025, kb_relative_information_score: 6145.5571, mean_absolute_error: 0.0192, mean_prior_absolute_error: 0.172, number_of_instances: 6900, precision: 0.918, predictive_accuracy: 0.9162, prior_entropy: 3.0415, recall: 0.9162, relative_absolute_error: 0.1117, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1253, root_relative_squared_error: 0.4272, scimark_benchmark: 1340.9446, usercpu_time_millis: 10410, usercpu_time_millis_testing: 360, usercpu_time_millis_training: 10050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9585, f_measure: 0.9162, kappa: 0.9025, kb_relative_information_score: 6145.5571, mean_absolute_error: 0.0192, mean_prior_absolute_error: 0.172, number_of_instances: 6900, precision: 0.918, predictive_accuracy: 0.9162, prior_entropy: 3.0415, recall: 0.9162, relative_absolute_error: 0.1117, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1253, root_relative_squared_error: 0.4272, scimark_benchmark: 1332.9478, usercpu_time_millis: 8940, usercpu_time_millis_testing: 400, usercpu_time_millis_training: 8540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, f_measure: 0.9145, kappa: 0.9036, kb_relative_information_score: 6133.8783, mean_absolute_error: 0.022, mean_prior_absolute_error: 0.172, number_of_instances: 6900, precision: 0.914, predictive_accuracy: 0.9174, prior_entropy: 3.0415, recall: 0.9174, relative_absolute_error: 0.1277, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1181, root_relative_squared_error: 0.4029, scimark_benchmark: 1322.0065, usercpu_time_millis: 840580, usercpu_time_millis_testing: 157620, usercpu_time_millis_training: 682960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9418, kappa: 0.9336, kb_relative_information_score: 6408.93, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.172, number_of_instances: 6900, precision: 0.942, predictive_accuracy: 0.943, prior_entropy: 3.0415, recall: 0.943, relative_absolute_error: 0.071, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.0985, root_relative_squared_error: 0.336, scimark_benchmark: 1247.7354, usercpu_time_millis: 1170170, usercpu_time_millis_testing: 1730, usercpu_time_millis_training: 1168440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9585, f_measure: 0.9162, kappa: 0.9025, kb_relative_information_score: 6145.5571, mean_absolute_error: 0.0192, mean_prior_absolute_error: 0.172, number_of_instances: 6900, precision: 0.918, predictive_accuracy: 0.9162, prior_entropy: 3.0415, recall: 0.9162, relative_absolute_error: 0.1117, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1253, root_relative_squared_error: 0.4272, scimark_benchmark: 1335.2357, usercpu_time_millis: 8420, usercpu_time_millis_testing: 420, usercpu_time_millis_training: 8000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.8512, kappa: 0.8261, kb_relative_information_score: 5512.8014, mean_absolute_error: 0.0441, mean_prior_absolute_error: 0.172, number_of_instances: 6900, precision: 0.8581, predictive_accuracy: 0.8501, prior_entropy: 3.0415, recall: 0.8501, relative_absolute_error: 0.2565, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1445, root_relative_squared_error: 0.4929, scimark_benchmark: 1354.4721, usercpu_time_millis: 127040, usercpu_time_millis_training: 127040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.9297, kappa: 0.9185, kb_relative_information_score: 6324.0452, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.172, number_of_instances: 6900, precision: 0.9297, predictive_accuracy: 0.93, prior_entropy: 3.0415, recall: 0.93, relative_absolute_error: 0.0819, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1158, root_relative_squared_error: 0.3948, scimark_benchmark: 1342.6911, usercpu_time_millis: 7980680, usercpu_time_millis_training: 7980680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.966, f_measure: 0.9152, kappa: 0.9019, kb_relative_information_score: 6207.6553, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.172, number_of_instances: 6900, precision: 0.9153, predictive_accuracy: 0.9158, prior_entropy: 3.0415, recall: 0.9158, relative_absolute_error: 0.0977, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1271, root_relative_squared_error: 0.4334, scimark_benchmark: 908.2231, usercpu_time_millis: 8657220, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 8657210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.9297, kappa: 0.9185, kb_relative_information_score: 6324.0452, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.172, number_of_instances: 6900, precision: 0.9297, predictive_accuracy: 0.93, prior_entropy: 3.0415, recall: 0.93, relative_absolute_error: 0.0819, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1158, root_relative_squared_error: 0.3948, scimark_benchmark: 854.6529, usercpu_time_millis: 8265140, usercpu_time_millis_training: 8265140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9079, kappa: 0.8947, kb_relative_information_score: 5865.9781, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.172, number_of_instances: 6900, precision: 0.9149, predictive_accuracy: 0.9096, prior_entropy: 3.0415, recall: 0.9096, relative_absolute_error: 0.2247, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1219, root_relative_squared_error: 0.4157, scimark_benchmark: 1334.6745, usercpu_time_millis: 2092130, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 2092060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.8512, kappa: 0.8261, kb_relative_information_score: 5512.8014, mean_absolute_error: 0.0441, mean_prior_absolute_error: 0.172, number_of_instances: 6900, precision: 0.8581, predictive_accuracy: 0.8501, prior_entropy: 3.0415, recall: 0.8501, relative_absolute_error: 0.2565, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1445, root_relative_squared_error: 0.4929, scimark_benchmark: 1350.073, usercpu_time_millis: 174940, usercpu_time_millis_training: 174940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9771, kappa: 0.9735, kb_relative_information_score: 6685.5183, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.172, number_of_instances: 6900, precision: 0.9773, predictive_accuracy: 0.9772, prior_entropy: 3.0415, recall: 0.9772, relative_absolute_error: 0.0272, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.0632, root_relative_squared_error: 0.2157, scimark_benchmark: 1313.2657, usercpu_time_millis: 4169730, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 4169720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9771, kappa: 0.9735, kb_relative_information_score: 6685.5183, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.172, number_of_instances: 6900, precision: 0.9773, predictive_accuracy: 0.9772, prior_entropy: 3.0415, recall: 0.9772, relative_absolute_error: 0.0272, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.0632, root_relative_squared_error: 0.2157, scimark_benchmark: 1334.6745, usercpu_time_millis: 2932510, usercpu_time_millis_training: 2932510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9585, f_measure: 0.9162, kappa: 0.9025, kb_relative_information_score: 6145.5571, mean_absolute_error: 0.0192, mean_prior_absolute_error: 0.172, number_of_instances: 6900, precision: 0.918, predictive_accuracy: 0.9162, prior_entropy: 3.0415, recall: 0.9162, relative_absolute_error: 0.1117, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1253, root_relative_squared_error: 0.4272, scimark_benchmark: 1151.6869, usercpu_time_millis: 9430, usercpu_time_millis_testing: 380, usercpu_time_millis_training: 9050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7926, f_measure: 0.2899, kappa: 0.2588, kb_relative_information_score: 1601.9117, mean_absolute_error: 0.137, mean_prior_absolute_error: 0.172, number_of_instances: 6900, precision: 0.2611, predictive_accuracy: 0.4043, prior_entropy: 3.0415, recall: 0.4043, relative_absolute_error: 0.7965, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.2618, root_relative_squared_error: 0.8929, scimark_benchmark: 1355.2525, usercpu_time_millis: 2225350, usercpu_time_millis_testing: 2225350,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5032, f_measure: 0.0683, kappa: 0.0067, kb_relative_information_score: 692.4898, mean_absolute_error: 0.1619, mean_prior_absolute_error: 0.172, number_of_instances: 6900, precision: 0.2926, predictive_accuracy: 0.1907, prior_entropy: 3.0415, recall: 0.1907, relative_absolute_error: 0.9408, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.4023, root_relative_squared_error: 1.3721, scimark_benchmark: 1297.2338, usercpu_time_millis: 30400, usercpu_time_millis_testing: 5580, usercpu_time_millis_training: 24820,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9049, kappa: 0.891, kb_relative_information_score: 5861.9244, mean_absolute_error: 0.0384, mean_prior_absolute_error: 0.172, number_of_instances: 6900, precision: 0.9105, predictive_accuracy: 0.9064, prior_entropy: 3.0415, recall: 0.9064, relative_absolute_error: 0.2231, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1234, root_relative_squared_error: 0.4208, scimark_benchmark: 1307.3269, usercpu_time_millis: 262120, usercpu_time_millis_training: 262120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.9057, kappa: 0.8918, kb_relative_information_score: 5847.3709, mean_absolute_error: 0.0384, mean_prior_absolute_error: 0.172, number_of_instances: 6900, precision: 0.9112, predictive_accuracy: 0.9071, prior_entropy: 3.0415, recall: 0.9071, relative_absolute_error: 0.2229, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1253, root_relative_squared_error: 0.4274, scimark_benchmark: 889.3151, usercpu_time_millis: 126440, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 126430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9569, f_measure: 0.9056, kappa: 0.8915, kb_relative_information_score: 6035.1494, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.172, number_of_instances: 6900, precision: 0.9055, predictive_accuracy: 0.9068, prior_entropy: 3.0415, recall: 0.9068, relative_absolute_error: 0.1362, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.131, root_relative_squared_error: 0.4467, scimark_benchmark: 1318.1432, usercpu_time_millis: 95260, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 95250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6783, f_measure: 0.2899, kappa: 0.2588, kb_relative_information_score: 1586.3545, mean_absolute_error: 0.1373, mean_prior_absolute_error: 0.172, number_of_instances: 6900, precision: 0.2611, predictive_accuracy: 0.4043, prior_entropy: 3.0415, recall: 0.4043, relative_absolute_error: 0.7978, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.2621, root_relative_squared_error: 0.8938, scimark_benchmark: 930.5999, usercpu_time_millis: 3000, usercpu_time_millis_training: 3000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6783, f_measure: 0.2899, kappa: 0.2588, kb_relative_information_score: 1586.3545, mean_absolute_error: 0.1373, mean_prior_absolute_error: 0.172, number_of_instances: 6900, precision: 0.2611, predictive_accuracy: 0.4043, prior_entropy: 3.0415, recall: 0.4043, relative_absolute_error: 0.7978, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.2621, root_relative_squared_error: 0.8938, scimark_benchmark: 943.1756, usercpu_time_millis: 3420, usercpu_time_millis_training: 3420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6783, f_measure: 0.2899, kappa: 0.2588, kb_relative_information_score: 1586.3545, mean_absolute_error: 0.1373, mean_prior_absolute_error: 0.172, number_of_instances: 6900, precision: 0.2611, predictive_accuracy: 0.4043, prior_entropy: 3.0415, recall: 0.4043, relative_absolute_error: 0.7978, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.2621, root_relative_squared_error: 0.8938, scimark_benchmark: 933.3136, usercpu_time_millis: 3360, usercpu_time_millis_training: 3360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6783, f_measure: 0.2899, kappa: 0.2588, kb_relative_information_score: 1586.3545, mean_absolute_error: 0.1373, mean_prior_absolute_error: 0.172, number_of_instances: 6900, precision: 0.2611, predictive_accuracy: 0.4043, prior_entropy: 3.0415, recall: 0.4043, relative_absolute_error: 0.7978, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.2621, root_relative_squared_error: 0.8938, scimark_benchmark: 889.3151, usercpu_time_millis: 3410, usercpu_time_millis_training: 3410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6783, f_measure: 0.2899, kappa: 0.2588, kb_relative_information_score: 1586.3545, mean_absolute_error: 0.1373, mean_prior_absolute_error: 0.172, number_of_instances: 6900, precision: 0.2611, predictive_accuracy: 0.4043, prior_entropy: 3.0415, recall: 0.4043, relative_absolute_error: 0.7978, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.2621, root_relative_squared_error: 0.8938, scimark_benchmark: 933.3136, usercpu_time_millis: 3470, usercpu_time_millis_training: 3470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7021, f_measure: 0.321, kappa: 0.2413, kb_relative_information_score: 2129.091, mean_absolute_error: 0.1388, mean_prior_absolute_error: 0.172, number_of_instances: 6900, precision: 0.5395, predictive_accuracy: 0.3604, prior_entropy: 3.0415, recall: 0.3604, relative_absolute_error: 0.8065, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.2892, root_relative_squared_error: 0.9864, scimark_benchmark: 1372.2145, usercpu_time_millis: 6070, usercpu_time_millis_testing: 6070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.696, f_measure: 0.351, kappa: 0.2684, kb_relative_information_score: 2358.942, mean_absolute_error: 0.1312, mean_prior_absolute_error: 0.172, number_of_instances: 6900, precision: 0.5041, predictive_accuracy: 0.3858, prior_entropy: 3.0415, recall: 0.3858, relative_absolute_error: 0.7628, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.292, root_relative_squared_error: 0.9958, scimark_benchmark: 934.4732, usercpu_time_millis: 6220, usercpu_time_millis_testing: 6220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7647, f_measure: 0.3771, kappa: 0.3284, kb_relative_information_score: 860.1018, mean_absolute_error: 0.1672, mean_prior_absolute_error: 0.172, number_of_instances: 6900, precision: 0.5542, predictive_accuracy: 0.4617, prior_entropy: 3.0415, recall: 0.4617, relative_absolute_error: 0.9718, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.285, root_relative_squared_error: 0.9722, scimark_benchmark: 1339.3974, usercpu_time_millis: 24080, usercpu_time_millis_testing: 21360, usercpu_time_millis_training: 2720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9229, kappa: 0.9129, kb_relative_information_score: 6240.0742, mean_absolute_error: 0.0182, mean_prior_absolute_error: 0.172, number_of_instances: 6900, precision: 0.9228, predictive_accuracy: 0.9254, prior_entropy: 3.0415, recall: 0.9254, relative_absolute_error: 0.1057, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1103, root_relative_squared_error: 0.3763, scimark_benchmark: 885.0921, usercpu_time_millis: 520970, usercpu_time_millis_testing: 2800, usercpu_time_millis_training: 518170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, f_measure: 0.8077, kappa: 0.7818, kb_relative_information_score: 1459.5369, mean_absolute_error: 0.1622, mean_prior_absolute_error: 0.172, number_of_instances: 6900, precision: 0.8095, predictive_accuracy: 0.8138, prior_entropy: 3.0415, recall: 0.8138, relative_absolute_error: 0.9427, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.2761, root_relative_squared_error: 0.9415, scimark_benchmark: 1287.514, usercpu_time_millis: 2830, usercpu_time_millis_testing: 870, usercpu_time_millis_training: 1960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9683, f_measure: 0.9432, kappa: 0.9358, kb_relative_information_score: 6397.3424, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.172, number_of_instances: 6900, precision: 0.9441, predictive_accuracy: 0.9449, prior_entropy: 3.0415, recall: 0.9449, relative_absolute_error: 0.064, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.105, root_relative_squared_error: 0.3579, scimark_benchmark: 942.9518, usercpu_time_millis: 700, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.8273, kappa: 0.8125, kb_relative_information_score: 3811.1721, mean_absolute_error: 0.1109, mean_prior_absolute_error: 0.172, number_of_instances: 6900, precision: 0.847, predictive_accuracy: 0.8417, prior_entropy: 3.0415, recall: 0.8417, relative_absolute_error: 0.6447, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.2029, root_relative_squared_error: 0.692, scimark_benchmark: 1073.494, usercpu_time_millis: 11730, usercpu_time_millis_testing: 310, usercpu_time_millis_training: 11420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6968, f_measure: 0.4728, kappa: 0.3894, kb_relative_information_score: 2866.1761, mean_absolute_error: 0.105, mean_prior_absolute_error: 0.172, number_of_instances: 6900, precision: 0.4715, predictive_accuracy: 0.4752, prior_entropy: 3.0415, recall: 0.4752, relative_absolute_error: 0.61, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.324, root_relative_squared_error: 1.1049, scimark_benchmark: 825.5282, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9499, f_measure: 0.8578, kappa: 0.8376, kb_relative_information_score: 5574.5681, mean_absolute_error: 0.0394, mean_prior_absolute_error: 0.172, number_of_instances: 6900, precision: 0.8624, predictive_accuracy: 0.8606, prior_entropy: 3.0415, recall: 0.8606, relative_absolute_error: 0.229, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1515, root_relative_squared_error: 0.5167, scimark_benchmark: 1319.6463, usercpu_time_millis: 14370, usercpu_time_millis_training: 14370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9508, f_measure: 0.8763, kappa: 0.8561, kb_relative_information_score: 5729.2338, mean_absolute_error: 0.0332, mean_prior_absolute_error: 0.172, number_of_instances: 6900, precision: 0.8825, predictive_accuracy: 0.8764, prior_entropy: 3.0415, recall: 0.8764, relative_absolute_error: 0.193, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1472, root_relative_squared_error: 0.502, scimark_benchmark: 1333.1164, usercpu_time_millis: 110760, usercpu_time_millis_training: 110760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8427, f_measure: 0.7394, kappa: 0.6972, kb_relative_information_score: 4767.6074, mean_absolute_error: 0.0506, mean_prior_absolute_error: 0.172, number_of_instances: 6900, precision: 0.7833, predictive_accuracy: 0.7468, prior_entropy: 3.0415, recall: 0.7468, relative_absolute_error: 0.2943, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.225, root_relative_squared_error: 0.7675, scimark_benchmark: 1319.6463, usercpu_time_millis: 84280, usercpu_time_millis_testing: 35950, usercpu_time_millis_training: 48330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9449, f_measure: 0.8981, kappa: 0.8827, kb_relative_information_score: 6020.0768, mean_absolute_error: 0.0224, mean_prior_absolute_error: 0.172, number_of_instances: 6900, precision: 0.899, predictive_accuracy: 0.8991, prior_entropy: 3.0415, recall: 0.8991, relative_absolute_error: 0.13, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.14, root_relative_squared_error: 0.4774, scimark_benchmark: 1341.2341, usercpu_time_millis: 47110, usercpu_time_millis_training: 47110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6338, f_measure: 0.2899, kappa: 0.2588, kb_relative_information_score: 1888.3354, mean_absolute_error: 0.1191, mean_prior_absolute_error: 0.172, number_of_instances: 6900, precision: 0.2611, predictive_accuracy: 0.4043, prior_entropy: 3.0415, recall: 0.4043, relative_absolute_error: 0.6924, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.3452, root_relative_squared_error: 1.1772, scimark_benchmark: 1351.788, usercpu_time_millis: 1640, usercpu_time_millis_training: 1640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9146, f_measure: 0.8478, kappa: 0.8229, kb_relative_information_score: 5679.863, mean_absolute_error: 0.0306, mean_prior_absolute_error: 0.172, number_of_instances: 6900, precision: 0.8523, predictive_accuracy: 0.8472, prior_entropy: 3.0415, recall: 0.8472, relative_absolute_error: 0.1776, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.5961, scimark_benchmark: 1392.1129, usercpu_time_millis: 429180, usercpu_time_millis_training: 429180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4854, f_measure: 0.0873, kb_relative_information_score: 6.9628, mean_absolute_error: 0.1721, mean_prior_absolute_error: 0.172, number_of_instances: 6900, precision: 0.0538, predictive_accuracy: 0.2319, prior_entropy: 3.0415, recall: 0.2319, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.2932, root_relative_squared_error: 1.0001, scimark_benchmark: 1330.0803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9547, f_measure: 0.9084, kappa: 0.8944, kb_relative_information_score: 6087.7088, mean_absolute_error: 0.0203, mean_prior_absolute_error: 0.172, number_of_instances: 6900, precision: 0.9105, predictive_accuracy: 0.9093, prior_entropy: 3.0415, recall: 0.9093, relative_absolute_error: 0.1182, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.132, root_relative_squared_error: 0.4501, scimark_benchmark: 1345.5871, usercpu_time_millis: 21450, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 21440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, build_cpu_time: 875.0843, build_memory: 175847724.32, f_measure: 0.9269, kappa: 0.917, kb_relative_information_score: 6174.9047, mean_absolute_error: 0.0261, mean_prior_absolute_error: 0.172, number_of_instances: 6900, precision: 0.9327, predictive_accuracy: 0.9287, prior_entropy: 3.0415, recall: 0.9287, relative_absolute_error: 0.1519, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1076, root_relative_squared_error: 0.3669, scimark_benchmark: 908.5438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, build_cpu_time: 429.0593, build_memory: 1761841951.76, f_measure: 0.9259, kappa: 0.916, kb_relative_information_score: 6169.2166, mean_absolute_error: 0.0262, mean_prior_absolute_error: 0.172, number_of_instances: 6900, precision: 0.9314, predictive_accuracy: 0.9278, prior_entropy: 3.0415, recall: 0.9278, relative_absolute_error: 0.1523, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1087, root_relative_squared_error: 0.3707, scimark_benchmark: 898.5281,

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