OpenML
Supervised Classification on anneal

Supervised Classification on anneal

Task 1881 Supervised Classification anneal 185 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9878, kappa: 0.9706, kb_relative_information_score: 8400.0695, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9883, predictive_accuracy: 0.9883, prior_entropy: 1.2149, recall: 0.9883, relative_absolute_error: 0.0394, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0619, root_relative_squared_error: 0.2399, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9842, kappa: 0.9609, kb_relative_information_score: 8136.6718, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9842, predictive_accuracy: 0.9843, prior_entropy: 1.2149, recall: 0.9843, relative_absolute_error: 0.0944, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0731, root_relative_squared_error: 0.2831, scimark_benchmark: 851.2074, usercpu_time_millis: 640, usercpu_time_millis_training: 640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6988, f_measure: 0.8231, kappa: 0.513, kb_relative_information_score: 4711.0441, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.8586, predictive_accuracy: 0.8494, prior_entropy: 1.2149, recall: 0.8494, relative_absolute_error: 0.3737, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.224, root_relative_squared_error: 0.8676, scimark_benchmark: 941.3142, usercpu_time_millis: 520, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9862, kappa: 0.9655, kb_relative_information_score: 8388.3514, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9864, predictive_accuracy: 0.9861, prior_entropy: 1.2149, recall: 0.9861, relative_absolute_error: 0.0533, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0641, root_relative_squared_error: 0.2482, scimark_benchmark: 941.6675, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9862, kappa: 0.9655, kb_relative_information_score: 8388.3514, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9864, predictive_accuracy: 0.9861, prior_entropy: 1.2149, recall: 0.9861, relative_absolute_error: 0.0533, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0641, root_relative_squared_error: 0.2482, scimark_benchmark: 941.6675, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9876, kappa: 0.9699, kb_relative_information_score: 8304.6064, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9879, predictive_accuracy: 0.988, prior_entropy: 1.2149, recall: 0.988, relative_absolute_error: 0.0704, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0613, root_relative_squared_error: 0.2375, scimark_benchmark: 941.6675, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9862, kappa: 0.9655, kb_relative_information_score: 8388.3514, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9864, predictive_accuracy: 0.9861, prior_entropy: 1.2149, recall: 0.9861, relative_absolute_error: 0.0533, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0641, root_relative_squared_error: 0.2482, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9957, kappa: 0.9894, kb_relative_information_score: 8366.4661, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9958, predictive_accuracy: 0.9958, prior_entropy: 1.2149, recall: 0.9958, relative_absolute_error: 0.0779, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0471, root_relative_squared_error: 0.1824, scimark_benchmark: 931.771, usercpu_time_millis: 130, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6988, f_measure: 0.8231, kappa: 0.513, kb_relative_information_score: 4711.0441, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.8586, predictive_accuracy: 0.8494, prior_entropy: 1.2149, recall: 0.8494, relative_absolute_error: 0.3737, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.224, root_relative_squared_error: 0.8676, scimark_benchmark: 974.2014, usercpu_time_millis: 1110, usercpu_time_millis_testing: 370, usercpu_time_millis_training: 740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9626, kappa: 0.9051, kb_relative_information_score: 7863.444, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9682, predictive_accuracy: 0.9602, prior_entropy: 1.2149, recall: 0.9602, relative_absolute_error: 0.1238, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0992, root_relative_squared_error: 0.3843, scimark_benchmark: 974.2014, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9862, kappa: 0.9658, kb_relative_information_score: 8349.1544, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9861, predictive_accuracy: 0.9864, prior_entropy: 1.2149, recall: 0.9864, relative_absolute_error: 0.0458, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.066, root_relative_squared_error: 0.2555, scimark_benchmark: 943.1009, usercpu_time_millis: 2090, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 2040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9957, kappa: 0.9894, kb_relative_information_score: 8366.4661, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9958, predictive_accuracy: 0.9958, prior_entropy: 1.2149, recall: 0.9958, relative_absolute_error: 0.0779, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0471, root_relative_squared_error: 0.1824, scimark_benchmark: 943.1009, usercpu_time_millis: 150, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9878, kappa: 0.9706, kb_relative_information_score: 8400.0695, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9883, predictive_accuracy: 0.9883, prior_entropy: 1.2149, recall: 0.9883, relative_absolute_error: 0.0394, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0619, root_relative_squared_error: 0.2399, scimark_benchmark: 819.5729, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9843, kappa: 0.9612, kb_relative_information_score: 8138.5362, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9843, predictive_accuracy: 0.9844, prior_entropy: 1.2149, recall: 0.9844, relative_absolute_error: 0.0942, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0729, root_relative_squared_error: 0.2822, scimark_benchmark: 936.2574, usercpu_time_millis: 860, usercpu_time_millis_training: 860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6988, f_measure: 0.8231, kappa: 0.513, kb_relative_information_score: 4711.0441, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.8586, predictive_accuracy: 0.8494, prior_entropy: 1.2149, recall: 0.8494, relative_absolute_error: 0.3737, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.224, root_relative_squared_error: 0.8676, scimark_benchmark: 932.438, usercpu_time_millis: 480, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6988, f_measure: 0.8231, kappa: 0.513, kb_relative_information_score: 4711.0441, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.8586, predictive_accuracy: 0.8494, prior_entropy: 1.2149, recall: 0.8494, relative_absolute_error: 0.3737, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.224, root_relative_squared_error: 0.8676, scimark_benchmark: 930.404, usercpu_time_millis: 580, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9862, kappa: 0.9655, kb_relative_information_score: 8388.3514, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9864, predictive_accuracy: 0.9861, prior_entropy: 1.2149, recall: 0.9861, relative_absolute_error: 0.0533, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0641, root_relative_squared_error: 0.2482, scimark_benchmark: 938.1282, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9862, kappa: 0.9655, kb_relative_information_score: 8388.3514, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9864, predictive_accuracy: 0.9861, prior_entropy: 1.2149, recall: 0.9861, relative_absolute_error: 0.0533, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0641, root_relative_squared_error: 0.2482, scimark_benchmark: 903.2737, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9862, kappa: 0.9655, kb_relative_information_score: 8388.3514, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9864, predictive_accuracy: 0.9861, prior_entropy: 1.2149, recall: 0.9861, relative_absolute_error: 0.0533, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0641, root_relative_squared_error: 0.2482, scimark_benchmark: 938.1282, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9862, kappa: 0.9655, kb_relative_information_score: 8388.3514, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9864, predictive_accuracy: 0.9861, prior_entropy: 1.2149, recall: 0.9861, relative_absolute_error: 0.0533, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0641, root_relative_squared_error: 0.2482, scimark_benchmark: 941.4991, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9876, kappa: 0.9699, kb_relative_information_score: 8304.6064, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9879, predictive_accuracy: 0.988, prior_entropy: 1.2149, recall: 0.988, relative_absolute_error: 0.0704, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0613, root_relative_squared_error: 0.2375, scimark_benchmark: 941.4991, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9862, kappa: 0.9655, kb_relative_information_score: 8388.3514, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9864, predictive_accuracy: 0.9861, prior_entropy: 1.2149, recall: 0.9861, relative_absolute_error: 0.0533, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0641, root_relative_squared_error: 0.2482, scimark_benchmark: 944.0133, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9862, kappa: 0.9658, kb_relative_information_score: 8349.1544, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9861, predictive_accuracy: 0.9864, prior_entropy: 1.2149, recall: 0.9864, relative_absolute_error: 0.0458, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.066, root_relative_squared_error: 0.2555, scimark_benchmark: 936.9595, usercpu_time_millis: 2210, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 2160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9957, kappa: 0.9894, kb_relative_information_score: 8366.4661, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9958, predictive_accuracy: 0.9958, prior_entropy: 1.2149, recall: 0.9958, relative_absolute_error: 0.0779, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0471, root_relative_squared_error: 0.1824, scimark_benchmark: 936.9595, usercpu_time_millis: 150, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9892, kappa: 0.9737, kb_relative_information_score: 8392.1455, mean_absolute_error: 0.0085, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9895, predictive_accuracy: 0.9895, prior_entropy: 1.2149, recall: 0.9895, relative_absolute_error: 0.0634, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0506, root_relative_squared_error: 0.196, scimark_benchmark: 938.4601, usercpu_time_millis: 21210, usercpu_time_millis_testing: 10260, usercpu_time_millis_training: 10950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9891, kappa: 0.9737, kb_relative_information_score: 8389.5352, mean_absolute_error: 0.0085, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9895, predictive_accuracy: 0.9895, prior_entropy: 1.2149, recall: 0.9895, relative_absolute_error: 0.0635, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.051, root_relative_squared_error: 0.1975, scimark_benchmark: 938.4601, usercpu_time_millis: 9320, usercpu_time_millis_testing: 3800, usercpu_time_millis_training: 5520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9893, kappa: 0.974, kb_relative_information_score: 8396.1685, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9896, predictive_accuracy: 0.9896, prior_entropy: 1.2149, recall: 0.9896, relative_absolute_error: 0.0619, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0515, root_relative_squared_error: 0.1994, scimark_benchmark: 945.5968, usercpu_time_millis: 4280, usercpu_time_millis_testing: 1440, usercpu_time_millis_training: 2840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9901, kappa: 0.9759, kb_relative_information_score: 8388.5545, mean_absolute_error: 0.0084, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9904, predictive_accuracy: 0.9904, prior_entropy: 1.2149, recall: 0.9904, relative_absolute_error: 0.0627, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0524, root_relative_squared_error: 0.2031, scimark_benchmark: 930.0399, usercpu_time_millis: 1770, usercpu_time_millis_testing: 440, usercpu_time_millis_training: 1330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9879, kappa: 0.9706, kb_relative_information_score: 8372.9836, mean_absolute_error: 0.0087, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9883, predictive_accuracy: 0.9883, prior_entropy: 1.2149, recall: 0.9883, relative_absolute_error: 0.0644, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0546, root_relative_squared_error: 0.2116, scimark_benchmark: 889.4922, usercpu_time_millis: 860, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4902, f_measure: 0.6587, kb_relative_information_score: -12.9002, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9035, f_measure: 0.7624, kappa: 0.4347, kb_relative_information_score: 2198.1818, mean_absolute_error: 0.1202, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.7016, predictive_accuracy: 0.8363, prior_entropy: 1.2149, recall: 0.8363, relative_absolute_error: 0.8952, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.8262, scimark_benchmark: 936.1714, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9035, f_measure: 0.7624, kappa: 0.4347, kb_relative_information_score: 2198.1818, mean_absolute_error: 0.1202, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.7016, predictive_accuracy: 0.8363, prior_entropy: 1.2149, recall: 0.8363, relative_absolute_error: 0.8952, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.8262, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9035, f_measure: 0.7624, kappa: 0.4347, kb_relative_information_score: 2198.1818, mean_absolute_error: 0.1202, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.7016, predictive_accuracy: 0.8363, prior_entropy: 1.2149, recall: 0.8363, relative_absolute_error: 0.8952, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.8262, scimark_benchmark: 940.0055, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.901, f_measure: 0.7624, kappa: 0.4347, kb_relative_information_score: 2232.9725, mean_absolute_error: 0.1191, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.7016, predictive_accuracy: 0.8363, prior_entropy: 1.2149, recall: 0.8363, relative_absolute_error: 0.887, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.8264, scimark_benchmark: 938.3115, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9016, f_measure: 0.7301, kappa: 0.2749, kb_relative_information_score: 3890.9754, mean_absolute_error: 0.0672, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.7016, predictive_accuracy: 0.7912, prior_entropy: 1.2149, recall: 0.7912, relative_absolute_error: 0.5001, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2269, root_relative_squared_error: 0.8786, scimark_benchmark: 935.6052, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9879, kappa: 0.9708, kb_relative_information_score: 8414.6262, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9884, predictive_accuracy: 0.9884, prior_entropy: 1.2149, recall: 0.9884, relative_absolute_error: 0.0509, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0573, root_relative_squared_error: 0.2218, scimark_benchmark: 926.5859, usercpu_time_millis: 200, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 150,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9862, kappa: 0.9655, kb_relative_information_score: 8388.3514, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9864, predictive_accuracy: 0.9861, prior_entropy: 1.2149, recall: 0.9861, relative_absolute_error: 0.0533, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0641, root_relative_squared_error: 0.2482, scimark_benchmark: 1324.7884, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9862, kappa: 0.9655, kb_relative_information_score: 8388.3514, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9864, predictive_accuracy: 0.9861, prior_entropy: 1.2149, recall: 0.9861, relative_absolute_error: 0.0533, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0641, root_relative_squared_error: 0.2482, scimark_benchmark: 1324.7884, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9957, kappa: 0.9894, kb_relative_information_score: 8366.4661, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9958, predictive_accuracy: 0.9958, prior_entropy: 1.2149, recall: 0.9958, relative_absolute_error: 0.0779, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0471, root_relative_squared_error: 0.1824, scimark_benchmark: 1343.3311, usercpu_time_millis: 150, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9626, kappa: 0.9051, kb_relative_information_score: 7863.444, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9682, predictive_accuracy: 0.9602, prior_entropy: 1.2149, recall: 0.9602, relative_absolute_error: 0.1238, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0992, root_relative_squared_error: 0.3843, scimark_benchmark: 1346.4374, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9862, kappa: 0.9655, kb_relative_information_score: 8388.3514, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9864, predictive_accuracy: 0.9861, prior_entropy: 1.2149, recall: 0.9861, relative_absolute_error: 0.0533, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0641, root_relative_squared_error: 0.2482, scimark_benchmark: 1332.9478, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9862, kappa: 0.9655, kb_relative_information_score: 8388.3514, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9864, predictive_accuracy: 0.9861, prior_entropy: 1.2149, recall: 0.9861, relative_absolute_error: 0.0533, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0641, root_relative_squared_error: 0.2482, scimark_benchmark: 1333.0982, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9862, kappa: 0.9655, kb_relative_information_score: 8388.3514, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9864, predictive_accuracy: 0.9861, prior_entropy: 1.2149, recall: 0.9861, relative_absolute_error: 0.0533, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0641, root_relative_squared_error: 0.2482, scimark_benchmark: 1313.5633, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9862, kappa: 0.9658, kb_relative_information_score: 8349.1544, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9861, predictive_accuracy: 0.9864, prior_entropy: 1.2149, recall: 0.9864, relative_absolute_error: 0.0458, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.066, root_relative_squared_error: 0.2555, scimark_benchmark: 1309.2287, usercpu_time_millis: 3070, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 2920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9917, kappa: 0.9794, kb_relative_information_score: 8505.026, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9917, predictive_accuracy: 0.9918, prior_entropy: 1.2149, recall: 0.9918, relative_absolute_error: 0.0375, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0515, root_relative_squared_error: 0.1996, scimark_benchmark: 1256.2802, usercpu_time_millis: 450, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9842, kappa: 0.9609, kb_relative_information_score: 8136.6718, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9842, predictive_accuracy: 0.9843, prior_entropy: 1.2149, recall: 0.9843, relative_absolute_error: 0.0944, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0731, root_relative_squared_error: 0.2831, scimark_benchmark: 1364.991, usercpu_time_millis: 680, usercpu_time_millis_training: 680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6988, f_measure: 0.8231, kappa: 0.513, kb_relative_information_score: 4711.0441, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.8586, predictive_accuracy: 0.8494, prior_entropy: 1.2149, recall: 0.8494, relative_absolute_error: 0.3737, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.224, root_relative_squared_error: 0.8676, scimark_benchmark: 1342.9012, usercpu_time_millis: 870, usercpu_time_millis_testing: 290, usercpu_time_millis_training: 580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9862, kappa: 0.9655, kb_relative_information_score: 8388.3514, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9864, predictive_accuracy: 0.9861, prior_entropy: 1.2149, recall: 0.9861, relative_absolute_error: 0.0533, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0641, root_relative_squared_error: 0.2482, scimark_benchmark: 1371.174, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9862, kappa: 0.9655, kb_relative_information_score: 8388.3514, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9864, predictive_accuracy: 0.9861, prior_entropy: 1.2149, recall: 0.9861, relative_absolute_error: 0.0533, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0641, root_relative_squared_error: 0.2482, scimark_benchmark: 1336.0954, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9862, kappa: 0.9655, kb_relative_information_score: 8388.3514, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9864, predictive_accuracy: 0.9861, prior_entropy: 1.2149, recall: 0.9861, relative_absolute_error: 0.0533, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0641, root_relative_squared_error: 0.2482, scimark_benchmark: 1336.4564, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9876, kappa: 0.9699, kb_relative_information_score: 8304.6064, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9879, predictive_accuracy: 0.988, prior_entropy: 1.2149, recall: 0.988, relative_absolute_error: 0.0704, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0613, root_relative_squared_error: 0.2375, scimark_benchmark: 1320.8688, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9862, kappa: 0.9655, kb_relative_information_score: 8388.3514, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9864, predictive_accuracy: 0.9861, prior_entropy: 1.2149, recall: 0.9861, relative_absolute_error: 0.0533, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0641, root_relative_squared_error: 0.2482, scimark_benchmark: 1360.0477, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9862, kappa: 0.9658, kb_relative_information_score: 8349.1544, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9861, predictive_accuracy: 0.9864, prior_entropy: 1.2149, recall: 0.9864, relative_absolute_error: 0.0458, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.066, root_relative_squared_error: 0.2555, scimark_benchmark: 1348.2804, usercpu_time_millis: 3090, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 2950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6988, f_measure: 0.8231, kappa: 0.513, kb_relative_information_score: 4711.0441, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.8586, predictive_accuracy: 0.8494, prior_entropy: 1.2149, recall: 0.8494, relative_absolute_error: 0.3737, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.224, root_relative_squared_error: 0.8676, scimark_benchmark: 1382.5085, usercpu_time_millis: 830, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9862, kappa: 0.9658, kb_relative_information_score: 8349.1544, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9861, predictive_accuracy: 0.9864, prior_entropy: 1.2149, recall: 0.9864, relative_absolute_error: 0.0458, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.066, root_relative_squared_error: 0.2555, scimark_benchmark: 1354.5533, usercpu_time_millis: 3160, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 3020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9883, kappa: 0.9716, kb_relative_information_score: 8305.4207, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9887, predictive_accuracy: 0.9886, prior_entropy: 1.2149, recall: 0.9886, relative_absolute_error: 0.0711, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0595, root_relative_squared_error: 0.2304, scimark_benchmark: 1348.2804, usercpu_time_millis: 790, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.988, kappa: 0.9701, kb_relative_information_score: 8441.3722, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9881, predictive_accuracy: 0.988, prior_entropy: 1.2149, recall: 0.988, relative_absolute_error: 0.0452, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0587, root_relative_squared_error: 0.2274, scimark_benchmark: 1318.2298, usercpu_time_millis: 1060, usercpu_time_millis_testing: 920, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6988, f_measure: 0.8231, kappa: 0.513, kb_relative_information_score: 4711.0441, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.8586, predictive_accuracy: 0.8494, prior_entropy: 1.2149, recall: 0.8494, relative_absolute_error: 0.3737, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.224, root_relative_squared_error: 0.8676, scimark_benchmark: 1304.2593, usercpu_time_millis: 790, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9957, kappa: 0.9894, kb_relative_information_score: 8366.4661, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9958, predictive_accuracy: 0.9958, prior_entropy: 1.2149, recall: 0.9958, relative_absolute_error: 0.0779, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0471, root_relative_squared_error: 0.1824, scimark_benchmark: 1347.993, usercpu_time_millis: 150, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9626, kappa: 0.9051, kb_relative_information_score: 7863.444, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9682, predictive_accuracy: 0.9602, prior_entropy: 1.2149, recall: 0.9602, relative_absolute_error: 0.1238, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0992, root_relative_squared_error: 0.3843, scimark_benchmark: 1322.7257, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9862, kappa: 0.9658, kb_relative_information_score: 8349.1544, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9861, predictive_accuracy: 0.9864, prior_entropy: 1.2149, recall: 0.9864, relative_absolute_error: 0.0458, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.066, root_relative_squared_error: 0.2555, scimark_benchmark: 940.3347, usercpu_time_millis: 2100, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 2050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9957, kappa: 0.9894, kb_relative_information_score: 8366.4661, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9958, predictive_accuracy: 0.9958, prior_entropy: 1.2149, recall: 0.9958, relative_absolute_error: 0.0779, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0471, root_relative_squared_error: 0.1824, scimark_benchmark: 1326.8946, usercpu_time_millis: 140, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9878, kappa: 0.9706, kb_relative_information_score: 8400.0695, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9883, predictive_accuracy: 0.9883, prior_entropy: 1.2149, recall: 0.9883, relative_absolute_error: 0.0394, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0619, root_relative_squared_error: 0.2399, scimark_benchmark: 1384.4422, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9842, kappa: 0.9609, kb_relative_information_score: 8136.6718, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9842, predictive_accuracy: 0.9843, prior_entropy: 1.2149, recall: 0.9843, relative_absolute_error: 0.0944, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0731, root_relative_squared_error: 0.2831, scimark_benchmark: 1371.9645, usercpu_time_millis: 720, usercpu_time_millis_training: 720,

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