Task
Supervised Classification on optdigits

Supervised Classification on optdigits

Task 258 Supervised Classification optdigits 301 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9018, f_measure: 0.7652, kappa: 0.7417, kb_relative_information_score: 1403.6477, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.7661, predictive_accuracy: 0.7675, prior_entropy: 3.3218, recall: 0.7675, relative_absolute_error: 0.2949, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1977, root_relative_squared_error: 0.659, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.7951, kappa: 0.774, kb_relative_information_score: 1379.511, mean_absolute_error: 0.0698, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.7977, predictive_accuracy: 0.7967, prior_entropy: 3.3218, recall: 0.7967, relative_absolute_error: 0.3878, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1724, root_relative_squared_error: 0.5745, scimark_benchmark: 851.2074, usercpu_time_millis: 17670, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 17660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8824, f_measure: 0.8248, kappa: 0.7649, kb_relative_information_score: 1443.5675, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.9309, predictive_accuracy: 0.7886, prior_entropy: 3.3218, recall: 0.7886, relative_absolute_error: 0.2349, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2056, root_relative_squared_error: 0.6855, scimark_benchmark: 941.6675, usercpu_time_millis: 83410, usercpu_time_millis_testing: 30060, usercpu_time_millis_training: 53350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9681, kappa: 0.9646, kb_relative_information_score: 1796.8136, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.9682, predictive_accuracy: 0.9682, prior_entropy: 3.3218, recall: 0.9682, relative_absolute_error: 0.0372, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0726, root_relative_squared_error: 0.2419, scimark_benchmark: 938.191, usercpu_time_millis: 1010, usercpu_time_millis_testing: 780, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9681, kappa: 0.9646, kb_relative_information_score: 1796.8136, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.9682, predictive_accuracy: 0.9682, prior_entropy: 3.3218, recall: 0.9682, relative_absolute_error: 0.0372, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0726, root_relative_squared_error: 0.2419, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9373, kappa: 0.9305, kb_relative_information_score: 1661.452, mean_absolute_error: 0.0327, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.9374, predictive_accuracy: 0.9374, prior_entropy: 3.3218, recall: 0.9374, relative_absolute_error: 0.1816, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1052, root_relative_squared_error: 0.3507, scimark_benchmark: 941.6675, usercpu_time_millis: 2630, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9681, kappa: 0.9646, kb_relative_information_score: 1796.8136, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.9682, predictive_accuracy: 0.9682, prior_entropy: 3.3218, recall: 0.9682, relative_absolute_error: 0.0372, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0726, root_relative_squared_error: 0.2419, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9822, kappa: 0.9802, kb_relative_information_score: 1666.1968, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.9822, predictive_accuracy: 0.9822, prior_entropy: 3.3218, recall: 0.9822, relative_absolute_error: 0.2002, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0918, root_relative_squared_error: 0.3059, scimark_benchmark: 931.771, usercpu_time_millis: 3860, usercpu_time_millis_testing: 330, usercpu_time_millis_training: 3530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8824, f_measure: 0.8248, kappa: 0.7649, kb_relative_information_score: 1443.5675, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.9309, predictive_accuracy: 0.7886, prior_entropy: 3.3218, recall: 0.7886, relative_absolute_error: 0.2349, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2056, root_relative_squared_error: 0.6855, scimark_benchmark: 937.5117, usercpu_time_millis: 70170, usercpu_time_millis_testing: 30440, usercpu_time_millis_training: 39730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9253, kappa: 0.9167, kb_relative_information_score: 1715.3983, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.9264, predictive_accuracy: 0.925, prior_entropy: 3.3218, recall: 0.925, relative_absolute_error: 0.0881, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1152, root_relative_squared_error: 0.384, scimark_benchmark: 974.2014, usercpu_time_millis: 470, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.8859, kappa: 0.8735, kb_relative_information_score: 1591.5214, mean_absolute_error: 0.0325, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.887, predictive_accuracy: 0.8862, prior_entropy: 3.3218, recall: 0.8862, relative_absolute_error: 0.1807, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1336, root_relative_squared_error: 0.4452, scimark_benchmark: 938.5498, usercpu_time_millis: 182280, usercpu_time_millis_testing: 1280, usercpu_time_millis_training: 181000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9822, kappa: 0.9802, kb_relative_information_score: 1666.1968, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.9822, predictive_accuracy: 0.9822, prior_entropy: 3.3218, recall: 0.9822, relative_absolute_error: 0.2002, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0918, root_relative_squared_error: 0.3059, scimark_benchmark: 943.1009, usercpu_time_millis: 4080, usercpu_time_millis_testing: 330, usercpu_time_millis_training: 3750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9018, f_measure: 0.7652, kappa: 0.7417, kb_relative_information_score: 1403.6477, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.7661, predictive_accuracy: 0.7675, prior_entropy: 3.3218, recall: 0.7675, relative_absolute_error: 0.2949, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1977, root_relative_squared_error: 0.659, scimark_benchmark: 819.5729, usercpu_time_millis: 290, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.7951, kappa: 0.774, kb_relative_information_score: 1379.511, mean_absolute_error: 0.0698, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.7977, predictive_accuracy: 0.7967, prior_entropy: 3.3218, recall: 0.7967, relative_absolute_error: 0.3878, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1724, root_relative_squared_error: 0.5745, scimark_benchmark: 608.4057, usercpu_time_millis: 19690, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 19670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8824, f_measure: 0.8248, kappa: 0.7649, kb_relative_information_score: 1443.5675, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.9309, predictive_accuracy: 0.7886, prior_entropy: 3.3218, recall: 0.7886, relative_absolute_error: 0.2349, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2056, root_relative_squared_error: 0.6855, scimark_benchmark: 730.6551, usercpu_time_millis: 60580, usercpu_time_millis_testing: 28530, usercpu_time_millis_training: 32050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9681, kappa: 0.9646, kb_relative_information_score: 1796.8136, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.9682, predictive_accuracy: 0.9682, prior_entropy: 3.3218, recall: 0.9682, relative_absolute_error: 0.0372, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0726, root_relative_squared_error: 0.2419, scimark_benchmark: 938.1282, usercpu_time_millis: 1220, usercpu_time_millis_testing: 910, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9681, kappa: 0.9646, kb_relative_information_score: 1796.8136, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.9682, predictive_accuracy: 0.9682, prior_entropy: 3.3218, recall: 0.9682, relative_absolute_error: 0.0372, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0726, root_relative_squared_error: 0.2419, scimark_benchmark: 903.2737, usercpu_time_millis: 1190, usercpu_time_millis_testing: 900, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9681, kappa: 0.9646, kb_relative_information_score: 1796.8136, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.9682, predictive_accuracy: 0.9682, prior_entropy: 3.3218, recall: 0.9682, relative_absolute_error: 0.0372, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0726, root_relative_squared_error: 0.2419, scimark_benchmark: 903.2737, usercpu_time_millis: 1190, usercpu_time_millis_testing: 910, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9373, kappa: 0.9305, kb_relative_information_score: 1661.452, mean_absolute_error: 0.0327, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.9374, predictive_accuracy: 0.9374, prior_entropy: 3.3218, recall: 0.9374, relative_absolute_error: 0.1816, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1052, root_relative_squared_error: 0.3507, scimark_benchmark: 941.4991, usercpu_time_millis: 2590, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9681, kappa: 0.9646, kb_relative_information_score: 1796.8136, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.9682, predictive_accuracy: 0.9682, prior_entropy: 3.3218, recall: 0.9682, relative_absolute_error: 0.0372, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0726, root_relative_squared_error: 0.2419, scimark_benchmark: 932.438, usercpu_time_millis: 1080, usercpu_time_millis_testing: 800, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.8859, kappa: 0.8735, kb_relative_information_score: 1591.5214, mean_absolute_error: 0.0325, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.887, predictive_accuracy: 0.8862, prior_entropy: 3.3218, recall: 0.8862, relative_absolute_error: 0.1807, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1336, root_relative_squared_error: 0.4452, scimark_benchmark: 932.438, usercpu_time_millis: 180630, usercpu_time_millis_testing: 1320, usercpu_time_millis_training: 179310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9822, kappa: 0.9802, kb_relative_information_score: 1666.1968, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.9822, predictive_accuracy: 0.9822, prior_entropy: 3.3218, recall: 0.9822, relative_absolute_error: 0.2002, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0918, root_relative_squared_error: 0.3059, scimark_benchmark: 936.9595, usercpu_time_millis: 3920, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 3650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9838, kappa: 0.982, kb_relative_information_score: 1716.9193, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.9839, predictive_accuracy: 0.9838, prior_entropy: 3.3218, recall: 0.9838, relative_absolute_error: 0.1484, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0768, root_relative_squared_error: 0.2559, scimark_benchmark: 763.3895, usercpu_time_millis: 342920, usercpu_time_millis_testing: 101370, usercpu_time_millis_training: 241550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9854, kappa: 0.9838, kb_relative_information_score: 1716.3418, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.9855, predictive_accuracy: 0.9854, prior_entropy: 3.3218, recall: 0.9854, relative_absolute_error: 0.1482, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0776, root_relative_squared_error: 0.2586, scimark_benchmark: 901.6243, usercpu_time_millis: 155560, usercpu_time_millis_testing: 39150, usercpu_time_millis_training: 116410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9838, kappa: 0.982, kb_relative_information_score: 1713.5577, mean_absolute_error: 0.0269, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.9839, predictive_accuracy: 0.9838, prior_entropy: 3.3218, recall: 0.9838, relative_absolute_error: 0.1494, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0797, root_relative_squared_error: 0.2656, scimark_benchmark: 935.0213, usercpu_time_millis: 71020, usercpu_time_millis_testing: 20490, usercpu_time_millis_training: 50530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.98, kappa: 0.9778, kb_relative_information_score: 1717.136, mean_absolute_error: 0.0262, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.9801, predictive_accuracy: 0.98, prior_entropy: 3.3218, recall: 0.98, relative_absolute_error: 0.1453, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.08, root_relative_squared_error: 0.2668, scimark_benchmark: 911.2316, usercpu_time_millis: 32050, usercpu_time_millis_testing: 5220, usercpu_time_millis_training: 26830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9698, kappa: 0.9664, kb_relative_information_score: 1707.2473, mean_absolute_error: 0.0272, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.9701, predictive_accuracy: 0.9698, prior_entropy: 3.3218, recall: 0.9698, relative_absolute_error: 0.1509, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0869, root_relative_squared_error: 0.2898, scimark_benchmark: 936.7184, usercpu_time_millis: 15380, usercpu_time_millis_testing: 2080, usercpu_time_millis_training: 13300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.8515, kappa: 0.8352, kb_relative_information_score: 1516.8211, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.8549, predictive_accuracy: 0.8517, prior_entropy: 3.3218, recall: 0.8517, relative_absolute_error: 0.2708, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1497, root_relative_squared_error: 0.499, scimark_benchmark: 929.0296, usercpu_time_millis: 1690, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 1630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6859, f_measure: 0.0608, kappa: 0.1031, kb_relative_information_score: 357.1264, mean_absolute_error: 0.1689, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.0362, predictive_accuracy: 0.1893, prior_entropy: 3.3218, recall: 0.1893, relative_absolute_error: 0.9382, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2908, root_relative_squared_error: 0.9694, scimark_benchmark: 938.3115, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6859, f_measure: 0.0608, kappa: 0.1031, kb_relative_information_score: 357.1264, mean_absolute_error: 0.1689, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.0362, predictive_accuracy: 0.1893, prior_entropy: 3.3218, recall: 0.1893, relative_absolute_error: 0.9382, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2908, root_relative_squared_error: 0.9694, scimark_benchmark: 936.1714, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6859, f_measure: 0.0608, kappa: 0.1031, kb_relative_information_score: 357.1264, mean_absolute_error: 0.1689, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.0362, predictive_accuracy: 0.1893, prior_entropy: 3.3218, recall: 0.1893, relative_absolute_error: 0.9382, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2908, root_relative_squared_error: 0.9694, scimark_benchmark: 938.3115, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6859, f_measure: 0.0608, kappa: 0.1031, kb_relative_information_score: 357.1264, mean_absolute_error: 0.1689, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.0362, predictive_accuracy: 0.1893, prior_entropy: 3.3218, recall: 0.1893, relative_absolute_error: 0.9382, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2908, root_relative_squared_error: 0.9694, scimark_benchmark: 938.3115, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6859, f_measure: 0.0608, kappa: 0.1031, kb_relative_information_score: 357.1264, mean_absolute_error: 0.1689, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.0362, predictive_accuracy: 0.1893, prior_entropy: 3.3218, recall: 0.1893, relative_absolute_error: 0.9382, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2908, root_relative_squared_error: 0.9694, scimark_benchmark: 935.6052, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0174, kb_relative_information_score: 103.3363, mean_absolute_error: 0.1805, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.0095, predictive_accuracy: 0.0976, prior_entropy: 3.3218, recall: 0.0976, relative_absolute_error: 1.0026, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4248, root_relative_squared_error: 1.4161, scimark_benchmark: 938.3115, 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: 0.9956, f_measure: 0.9377, kappa: 0.9311, kb_relative_information_score: 1686.7499, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.9379, predictive_accuracy: 0.938, prior_entropy: 3.3218, recall: 0.938, relative_absolute_error: 0.1483, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1006, root_relative_squared_error: 0.3353, scimark_benchmark: 899.1108, usercpu_time_millis: 197940, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 197680,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9681, kappa: 0.9646, kb_relative_information_score: 1796.8136, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.9682, predictive_accuracy: 0.9682, prior_entropy: 3.3218, recall: 0.9682, relative_absolute_error: 0.0372, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0726, root_relative_squared_error: 0.2419, scimark_benchmark: 1333.0982, usercpu_time_millis: 700, usercpu_time_millis_testing: 530, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9681, kappa: 0.9646, kb_relative_information_score: 1796.8136, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.9682, predictive_accuracy: 0.9682, prior_entropy: 3.3218, recall: 0.9682, relative_absolute_error: 0.0372, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0726, root_relative_squared_error: 0.2419, scimark_benchmark: 1313.11, usercpu_time_millis: 720, usercpu_time_millis_testing: 550, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9681, kappa: 0.9646, kb_relative_information_score: 1796.8136, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.9682, predictive_accuracy: 0.9682, prior_entropy: 3.3218, recall: 0.9682, relative_absolute_error: 0.0372, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0726, root_relative_squared_error: 0.2419, scimark_benchmark: 1342.2845, usercpu_time_millis: 750, usercpu_time_millis_testing: 570, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9681, kappa: 0.9646, kb_relative_information_score: 1796.8136, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.9682, predictive_accuracy: 0.9682, prior_entropy: 3.3218, recall: 0.9682, relative_absolute_error: 0.0372, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0726, root_relative_squared_error: 0.2419, scimark_benchmark: 1350.7721, usercpu_time_millis: 650, usercpu_time_millis_testing: 510, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.8859, kappa: 0.8735, kb_relative_information_score: 1591.5214, mean_absolute_error: 0.0325, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.887, predictive_accuracy: 0.8862, prior_entropy: 3.3218, recall: 0.8862, relative_absolute_error: 0.1807, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1336, root_relative_squared_error: 0.4452, scimark_benchmark: 1327.8694, usercpu_time_millis: 272140, usercpu_time_millis_testing: 4220, usercpu_time_millis_training: 267920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9509, f_measure: 0.8931, kappa: 0.8819, kb_relative_information_score: 1643.7744, mean_absolute_error: 0.023, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.8938, predictive_accuracy: 0.8937, prior_entropy: 3.3218, recall: 0.8937, relative_absolute_error: 0.1276, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1413, root_relative_squared_error: 0.4709, scimark_benchmark: 1331.0047, usercpu_time_millis: 840, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.7951, kappa: 0.774, kb_relative_information_score: 1379.511, mean_absolute_error: 0.0698, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.7977, predictive_accuracy: 0.7967, prior_entropy: 3.3218, recall: 0.7967, relative_absolute_error: 0.3878, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1724, root_relative_squared_error: 0.5745, scimark_benchmark: 1342.2845, usercpu_time_millis: 16480, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 16470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8824, f_measure: 0.8248, kappa: 0.7649, kb_relative_information_score: 1443.5675, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.9309, predictive_accuracy: 0.7886, prior_entropy: 3.3218, recall: 0.7886, relative_absolute_error: 0.2349, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2056, root_relative_squared_error: 0.6855, scimark_benchmark: 1321.8321, usercpu_time_millis: 75480, usercpu_time_millis_testing: 42900, usercpu_time_millis_training: 32580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9681, kappa: 0.9646, kb_relative_information_score: 1796.8136, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.9682, predictive_accuracy: 0.9682, prior_entropy: 3.3218, recall: 0.9682, relative_absolute_error: 0.0372, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0726, root_relative_squared_error: 0.2419, scimark_benchmark: 1375.1578, usercpu_time_millis: 660, usercpu_time_millis_testing: 520, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9373, kappa: 0.9305, kb_relative_information_score: 1661.452, mean_absolute_error: 0.0327, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.9374, predictive_accuracy: 0.9374, prior_entropy: 3.3218, recall: 0.9374, relative_absolute_error: 0.1816, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1052, root_relative_squared_error: 0.3507, scimark_benchmark: 1303.9481, usercpu_time_millis: 1930, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9822, kappa: 0.9802, kb_relative_information_score: 1666.1968, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.9822, predictive_accuracy: 0.9822, prior_entropy: 3.3218, recall: 0.9822, relative_absolute_error: 0.2002, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0918, root_relative_squared_error: 0.3059, scimark_benchmark: 1339.6197, usercpu_time_millis: 3150, usercpu_time_millis_testing: 480, usercpu_time_millis_training: 2670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9018, f_measure: 0.7652, kappa: 0.7417, kb_relative_information_score: 1403.6477, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.7661, predictive_accuracy: 0.7675, prior_entropy: 3.3218, recall: 0.7675, relative_absolute_error: 0.2949, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1977, root_relative_squared_error: 0.659, scimark_benchmark: 1308.6872, usercpu_time_millis: 180, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9512, f_measure: 0.7188, kappa: 0.7058, kb_relative_information_score: 686.7148, mean_absolute_error: 0.1499, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.7879, predictive_accuracy: 0.7352, prior_entropy: 3.3218, recall: 0.7352, relative_absolute_error: 0.8328, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.261, root_relative_squared_error: 0.87, scimark_benchmark: 1313.8988, usercpu_time_millis: 289470, usercpu_time_millis_testing: 289460, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9681, kappa: 0.9646, kb_relative_information_score: 1796.8136, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.9682, predictive_accuracy: 0.9682, prior_entropy: 3.3218, recall: 0.9682, relative_absolute_error: 0.0372, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0726, root_relative_squared_error: 0.2419, scimark_benchmark: 1337.797, usercpu_time_millis: 760, usercpu_time_millis_testing: 590, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9681, kappa: 0.9646, kb_relative_information_score: 1796.8136, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.9682, predictive_accuracy: 0.9682, prior_entropy: 3.3218, recall: 0.9682, relative_absolute_error: 0.0372, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0726, root_relative_squared_error: 0.2419, scimark_benchmark: 1338.0691, usercpu_time_millis: 650, usercpu_time_millis_testing: 510, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9708, kappa: 0.9676, kb_relative_information_score: 1802.0066, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.971, predictive_accuracy: 0.9709, prior_entropy: 3.3218, recall: 0.9709, relative_absolute_error: 0.0341, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0691, root_relative_squared_error: 0.2305, scimark_benchmark: 1352.06, usercpu_time_millis: 77850, usercpu_time_millis_testing: 68010, usercpu_time_millis_training: 9840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9018, f_measure: 0.7652, kappa: 0.7417, kb_relative_information_score: 1403.6477, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.7661, predictive_accuracy: 0.7675, prior_entropy: 3.3218, recall: 0.7675, relative_absolute_error: 0.2949, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1977, root_relative_squared_error: 0.659, scimark_benchmark: 1328.6226, usercpu_time_millis: 280, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8824, f_measure: 0.8248, kappa: 0.7649, kb_relative_information_score: 1443.5675, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.9309, predictive_accuracy: 0.7886, prior_entropy: 3.3218, recall: 0.7886, relative_absolute_error: 0.2349, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2056, root_relative_squared_error: 0.6855, scimark_benchmark: 1393.8432, usercpu_time_millis: 81670, usercpu_time_millis_testing: 34130, usercpu_time_millis_training: 47540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9253, kappa: 0.9167, kb_relative_information_score: 1715.3983, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.9264, predictive_accuracy: 0.925, prior_entropy: 3.3218, recall: 0.925, relative_absolute_error: 0.0881, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1152, root_relative_squared_error: 0.384, scimark_benchmark: 1354.3488, usercpu_time_millis: 360, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9681, kappa: 0.9646, kb_relative_information_score: 1796.8136, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.9682, predictive_accuracy: 0.9682, prior_entropy: 3.3218, recall: 0.9682, relative_absolute_error: 0.0372, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0726, root_relative_squared_error: 0.2419, scimark_benchmark: 1347.993, usercpu_time_millis: 740, usercpu_time_millis_testing: 580, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9681, kappa: 0.9646, kb_relative_information_score: 1796.8136, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.9682, predictive_accuracy: 0.9682, prior_entropy: 3.3218, recall: 0.9682, relative_absolute_error: 0.0372, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0726, root_relative_squared_error: 0.2419, scimark_benchmark: 1347.993, usercpu_time_millis: 750, usercpu_time_millis_testing: 590, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.8859, kappa: 0.8735, kb_relative_information_score: 1591.5214, mean_absolute_error: 0.0325, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.887, predictive_accuracy: 0.8862, prior_entropy: 3.3218, recall: 0.8862, relative_absolute_error: 0.1807, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1336, root_relative_squared_error: 0.4452, scimark_benchmark: 1260.1387, usercpu_time_millis: 277540, usercpu_time_millis_testing: 4370, usercpu_time_millis_training: 273170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9822, kappa: 0.9802, kb_relative_information_score: 1666.1968, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.9822, predictive_accuracy: 0.9822, prior_entropy: 3.3218, recall: 0.9822, relative_absolute_error: 0.2002, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0918, root_relative_squared_error: 0.3059, scimark_benchmark: 1322.7257, usercpu_time_millis: 2910, usercpu_time_millis_testing: 380, usercpu_time_millis_training: 2530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9681, kappa: 0.9646, kb_relative_information_score: 1796.8136, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.9682, predictive_accuracy: 0.9682, prior_entropy: 3.3218, recall: 0.9682, relative_absolute_error: 0.0372, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0726, root_relative_squared_error: 0.2419, scimark_benchmark: 1335.5424, usercpu_time_millis: 650, usercpu_time_millis_testing: 490, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9018, f_measure: 0.7652, kappa: 0.7417, kb_relative_information_score: 1403.6477, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.7661, predictive_accuracy: 0.7675, prior_entropy: 3.3218, recall: 0.7675, relative_absolute_error: 0.2949, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1977, root_relative_squared_error: 0.659, scimark_benchmark: 1341.5795, usercpu_time_millis: 170, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9253, kappa: 0.9167, kb_relative_information_score: 1715.3983, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.9264, predictive_accuracy: 0.925, prior_entropy: 3.3218, recall: 0.925, relative_absolute_error: 0.0881, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1152, root_relative_squared_error: 0.384, scimark_benchmark: 918.0213, usercpu_time_millis: 640, usercpu_time_millis_testing: 310, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9681, kappa: 0.9646, kb_relative_information_score: 1796.8136, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.9682, predictive_accuracy: 0.9682, prior_entropy: 3.3218, recall: 0.9682, relative_absolute_error: 0.0372, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0726, root_relative_squared_error: 0.2419, scimark_benchmark: 1288.1375, usercpu_time_millis: 810, usercpu_time_millis_testing: 620, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9253, kappa: 0.9167, kb_relative_information_score: 1715.3983, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.9264, predictive_accuracy: 0.925, prior_entropy: 3.3218, recall: 0.925, relative_absolute_error: 0.0881, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1152, root_relative_squared_error: 0.384, scimark_benchmark: 933.1165, usercpu_time_millis: 480, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9682, kappa: 0.9646, kb_relative_information_score: 1798.0354, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.9683, predictive_accuracy: 0.9682, prior_entropy: 3.3218, recall: 0.9682, relative_absolute_error: 0.0377, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0713, root_relative_squared_error: 0.2376, scimark_benchmark: 1064.8317, usercpu_time_millis: 122560, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 122550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9018, f_measure: 0.7652, kappa: 0.7417, kb_relative_information_score: 1403.6477, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.7661, predictive_accuracy: 0.7675, prior_entropy: 3.3218, recall: 0.7675, relative_absolute_error: 0.2949, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1977, root_relative_squared_error: 0.659, scimark_benchmark: 1151.6869, usercpu_time_millis: 200, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 170,

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