OpenML
Supervised Classification on cpu_act

Supervised Classification on cpu_act

Task 4332 Supervised Classification cpu_act 201 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9377, f_measure: 0.9155, kappa: 0.7977, kb_relative_information_score: 59391.134, mean_absolute_error: 0.1196, mean_prior_absolute_error: 0.4219, number_of_instances: 81920, precision: 0.9157, predictive_accuracy: 0.9165, prior_entropy: 0.8842, recall: 0.9165, relative_absolute_error: 0.2836, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2641, root_relative_squared_error: 0.575, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9662, f_measure: 0.9132, kappa: 0.7932, kb_relative_information_score: 49795.1906, mean_absolute_error: 0.1766, mean_prior_absolute_error: 0.4219, number_of_instances: 81920, precision: 0.913, predictive_accuracy: 0.9137, prior_entropy: 0.8842, recall: 0.9137, relative_absolute_error: 0.4186, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2613, root_relative_squared_error: 0.5689, scimark_benchmark: 972.587, usercpu_time_millis: 1940, usercpu_time_millis_training: 1940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9655, f_measure: 0.917, kappa: 0.8019, kb_relative_information_score: 57761.7615, mean_absolute_error: 0.128, mean_prior_absolute_error: 0.4219, number_of_instances: 81920, precision: 0.917, predictive_accuracy: 0.9177, prior_entropy: 0.8842, recall: 0.9177, relative_absolute_error: 0.3035, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2498, root_relative_squared_error: 0.5438, scimark_benchmark: 934.3687, usercpu_time_millis: 3100, usercpu_time_millis_training: 3100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5734, kb_relative_information_score: 19026.1791, mean_absolute_error: 0.3024, mean_prior_absolute_error: 0.4219, number_of_instances: 81920, precision: 0.4867, predictive_accuracy: 0.6976, prior_entropy: 0.8842, recall: 0.6976, relative_absolute_error: 0.7167, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.5499, root_relative_squared_error: 1.1973, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.8775, kappa: 0.7228, kb_relative_information_score: 55194.8395, mean_absolute_error: 0.1285, mean_prior_absolute_error: 0.4219, number_of_instances: 81920, precision: 0.8938, predictive_accuracy: 0.8739, prior_entropy: 0.8842, recall: 0.8739, relative_absolute_error: 0.3045, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.3316, root_relative_squared_error: 0.722, scimark_benchmark: 941.6675, usercpu_time_millis: 160, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9262, kappa: 0.8257, kb_relative_information_score: 65007.0113, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.4219, number_of_instances: 81920, precision: 0.9265, predictive_accuracy: 0.926, prior_entropy: 0.8842, recall: 0.926, relative_absolute_error: 0.1982, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2413, root_relative_squared_error: 0.5253, scimark_benchmark: 941.6675, usercpu_time_millis: 310, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9304, kappa: 0.8337, kb_relative_information_score: 62346.4425, mean_absolute_error: 0.1036, mean_prior_absolute_error: 0.4219, number_of_instances: 81920, precision: 0.9304, predictive_accuracy: 0.931, prior_entropy: 0.8842, recall: 0.931, relative_absolute_error: 0.2457, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2236, root_relative_squared_error: 0.4868, scimark_benchmark: 941.6675, usercpu_time_millis: 1500, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.938, kappa: 0.8524, kb_relative_information_score: 64794.749, mean_absolute_error: 0.09, mean_prior_absolute_error: 0.4219, number_of_instances: 81920, precision: 0.938, predictive_accuracy: 0.9384, prior_entropy: 0.8842, recall: 0.9384, relative_absolute_error: 0.2133, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2123, root_relative_squared_error: 0.4621, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9503, f_measure: 0.9108, kappa: 0.7876, kb_relative_information_score: 61789.7705, mean_absolute_error: 0.1004, mean_prior_absolute_error: 0.4219, number_of_instances: 81920, precision: 0.9106, predictive_accuracy: 0.9112, prior_entropy: 0.8842, recall: 0.9112, relative_absolute_error: 0.2379, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.271, root_relative_squared_error: 0.59, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5734, kb_relative_information_score: 19026.1791, mean_absolute_error: 0.3024, mean_prior_absolute_error: 0.4219, number_of_instances: 81920, precision: 0.4867, predictive_accuracy: 0.6976, prior_entropy: 0.8842, recall: 0.6976, relative_absolute_error: 0.7167, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.5499, root_relative_squared_error: 1.1973, scimark_benchmark: 944.1783, usercpu_time_millis: 80830, usercpu_time_millis_testing: 9110, usercpu_time_millis_training: 71720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5734, kb_relative_information_score: 19026.1791, mean_absolute_error: 0.3024, mean_prior_absolute_error: 0.4219, number_of_instances: 81920, precision: 0.4867, predictive_accuracy: 0.6976, prior_entropy: 0.8842, recall: 0.6976, relative_absolute_error: 0.7167, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.5499, root_relative_squared_error: 1.1973, scimark_benchmark: 944.1783, usercpu_time_millis: 59630, usercpu_time_millis_testing: 11250, usercpu_time_millis_training: 48380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9262, kappa: 0.8257, kb_relative_information_score: 65007.0113, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.4219, number_of_instances: 81920, precision: 0.9265, predictive_accuracy: 0.926, prior_entropy: 0.8842, recall: 0.926, relative_absolute_error: 0.1982, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2413, root_relative_squared_error: 0.5253, scimark_benchmark: 974.2014, usercpu_time_millis: 160, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.937, kappa: 0.8498, kb_relative_information_score: 62542.6505, mean_absolute_error: 0.1039, mean_prior_absolute_error: 0.4219, number_of_instances: 81920, precision: 0.937, predictive_accuracy: 0.9374, prior_entropy: 0.8842, recall: 0.9374, relative_absolute_error: 0.2462, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2145, root_relative_squared_error: 0.4669, scimark_benchmark: 943.1009, usercpu_time_millis: 4710, usercpu_time_millis_testing: 440, usercpu_time_millis_training: 4270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9377, f_measure: 0.9155, kappa: 0.7977, kb_relative_information_score: 59391.134, mean_absolute_error: 0.1196, mean_prior_absolute_error: 0.4219, number_of_instances: 81920, precision: 0.9157, predictive_accuracy: 0.9165, prior_entropy: 0.8842, recall: 0.9165, relative_absolute_error: 0.2836, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2641, root_relative_squared_error: 0.575, scimark_benchmark: 942.2392, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9662, f_measure: 0.9132, kappa: 0.7932, kb_relative_information_score: 49795.1906, mean_absolute_error: 0.1766, mean_prior_absolute_error: 0.4219, number_of_instances: 81920, precision: 0.913, predictive_accuracy: 0.9137, prior_entropy: 0.8842, recall: 0.9137, relative_absolute_error: 0.4186, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2613, root_relative_squared_error: 0.5689, scimark_benchmark: 908.9569, usercpu_time_millis: 1710, usercpu_time_millis_training: 1710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9655, f_measure: 0.917, kappa: 0.8019, kb_relative_information_score: 57761.7615, mean_absolute_error: 0.128, mean_prior_absolute_error: 0.4219, number_of_instances: 81920, precision: 0.917, predictive_accuracy: 0.9177, prior_entropy: 0.8842, recall: 0.9177, relative_absolute_error: 0.3035, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2498, root_relative_squared_error: 0.5438, scimark_benchmark: 938.1282, usercpu_time_millis: 3090, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5734, kb_relative_information_score: 19026.1791, mean_absolute_error: 0.3024, mean_prior_absolute_error: 0.4219, number_of_instances: 81920, precision: 0.4867, predictive_accuracy: 0.6976, prior_entropy: 0.8842, recall: 0.6976, relative_absolute_error: 0.7167, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.5499, root_relative_squared_error: 1.1973, scimark_benchmark: 940.1221, usercpu_time_millis: 48900, usercpu_time_millis_testing: 9980, usercpu_time_millis_training: 38920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.938, kappa: 0.8524, kb_relative_information_score: 64794.749, mean_absolute_error: 0.09, mean_prior_absolute_error: 0.4219, number_of_instances: 81920, precision: 0.938, predictive_accuracy: 0.9384, prior_entropy: 0.8842, recall: 0.9384, relative_absolute_error: 0.2133, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2123, root_relative_squared_error: 0.4621, scimark_benchmark: 935.5664, usercpu_time_millis: 1110440, usercpu_time_millis_testing: 14420, usercpu_time_millis_training: 1096020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5734, kb_relative_information_score: 19026.1791, mean_absolute_error: 0.3024, mean_prior_absolute_error: 0.4219, number_of_instances: 81920, precision: 0.4867, predictive_accuracy: 0.6976, prior_entropy: 0.8842, recall: 0.6976, relative_absolute_error: 0.7167, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.5499, root_relative_squared_error: 1.1973, scimark_benchmark: 926.5462, usercpu_time_millis: 49220, usercpu_time_millis_testing: 9740, usercpu_time_millis_training: 39480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9262, kappa: 0.8257, kb_relative_information_score: 65007.0113, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.4219, number_of_instances: 81920, precision: 0.9265, predictive_accuracy: 0.926, prior_entropy: 0.8842, recall: 0.926, relative_absolute_error: 0.1982, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2413, root_relative_squared_error: 0.5253, scimark_benchmark: 930.404, usercpu_time_millis: 190, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9262, kappa: 0.8257, kb_relative_information_score: 65007.0113, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.4219, number_of_instances: 81920, precision: 0.9265, predictive_accuracy: 0.926, prior_entropy: 0.8842, recall: 0.926, relative_absolute_error: 0.1982, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2413, root_relative_squared_error: 0.5253, scimark_benchmark: 933.3455, usercpu_time_millis: 200, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9304, kappa: 0.8337, kb_relative_information_score: 62346.4425, mean_absolute_error: 0.1036, mean_prior_absolute_error: 0.4219, number_of_instances: 81920, precision: 0.9304, predictive_accuracy: 0.931, prior_entropy: 0.8842, recall: 0.931, relative_absolute_error: 0.2457, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2236, root_relative_squared_error: 0.4868, scimark_benchmark: 903.2737, usercpu_time_millis: 1470, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9262, kappa: 0.8257, kb_relative_information_score: 65007.0113, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.4219, number_of_instances: 81920, precision: 0.9265, predictive_accuracy: 0.926, prior_entropy: 0.8842, recall: 0.926, relative_absolute_error: 0.1982, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2413, root_relative_squared_error: 0.5253, scimark_benchmark: 936.9595, usercpu_time_millis: 190, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9503, f_measure: 0.9108, kappa: 0.7876, kb_relative_information_score: 61789.7705, mean_absolute_error: 0.1004, mean_prior_absolute_error: 0.4219, number_of_instances: 81920, precision: 0.9106, predictive_accuracy: 0.9112, prior_entropy: 0.8842, recall: 0.9112, relative_absolute_error: 0.2379, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.271, root_relative_squared_error: 0.59, scimark_benchmark: 945.6228, usercpu_time_millis: 15860, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 15820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.937, kappa: 0.8498, kb_relative_information_score: 62542.6505, mean_absolute_error: 0.1039, mean_prior_absolute_error: 0.4219, number_of_instances: 81920, precision: 0.937, predictive_accuracy: 0.9374, prior_entropy: 0.8842, recall: 0.9374, relative_absolute_error: 0.2462, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2145, root_relative_squared_error: 0.4669, scimark_benchmark: 938.988, usercpu_time_millis: 5560, usercpu_time_millis_testing: 430, usercpu_time_millis_training: 5130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9394, kappa: 0.8552, kb_relative_information_score: 63474.5348, mean_absolute_error: 0.0994, mean_prior_absolute_error: 0.4219, number_of_instances: 81920, precision: 0.9394, predictive_accuracy: 0.9398, prior_entropy: 0.8842, recall: 0.9398, relative_absolute_error: 0.2356, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2092, root_relative_squared_error: 0.4555, scimark_benchmark: 904.5548, usercpu_time_millis: 128720, usercpu_time_millis_testing: 36410, usercpu_time_millis_training: 92310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9391, kappa: 0.8546, kb_relative_information_score: 63438.7554, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.4219, number_of_instances: 81920, precision: 0.9391, predictive_accuracy: 0.9395, prior_entropy: 0.8842, recall: 0.9395, relative_absolute_error: 0.2358, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2097, root_relative_squared_error: 0.4567, scimark_benchmark: 859.5223, usercpu_time_millis: 60710, usercpu_time_millis_testing: 9080, usercpu_time_millis_training: 51630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.9387, kappa: 0.8537, kb_relative_information_score: 63377.1903, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.4219, number_of_instances: 81920, precision: 0.9387, predictive_accuracy: 0.9391, prior_entropy: 0.8842, recall: 0.9391, relative_absolute_error: 0.2361, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2109, root_relative_squared_error: 0.4592, scimark_benchmark: 903.179, usercpu_time_millis: 28010, usercpu_time_millis_testing: 3550, usercpu_time_millis_training: 24460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.9378, kappa: 0.8517, kb_relative_information_score: 63315.6501, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.4219, number_of_instances: 81920, precision: 0.9378, predictive_accuracy: 0.9383, prior_entropy: 0.8842, recall: 0.9383, relative_absolute_error: 0.2361, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2125, root_relative_squared_error: 0.4628, scimark_benchmark: 939.682, usercpu_time_millis: 13680, usercpu_time_millis_testing: 1650, usercpu_time_millis_training: 12030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.9353, kappa: 0.8457, kb_relative_information_score: 63167.9059, mean_absolute_error: 0.0997, mean_prior_absolute_error: 0.4219, number_of_instances: 81920, precision: 0.9353, predictive_accuracy: 0.9358, prior_entropy: 0.8842, recall: 0.9358, relative_absolute_error: 0.2363, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2167, root_relative_squared_error: 0.4718, scimark_benchmark: 928.821, usercpu_time_millis: 6400, usercpu_time_millis_testing: 840, usercpu_time_millis_training: 5560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9612, f_measure: 0.9102, kappa: 0.7869, kb_relative_information_score: 58762.6419, mean_absolute_error: 0.1187, mean_prior_absolute_error: 0.4219, number_of_instances: 81920, precision: 0.9101, predictive_accuracy: 0.9104, prior_entropy: 0.8842, recall: 0.9104, relative_absolute_error: 0.2814, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2609, root_relative_squared_error: 0.5682, scimark_benchmark: 936.1714, usercpu_time_millis: 420, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9612, f_measure: 0.9102, kappa: 0.7869, kb_relative_information_score: 58762.6419, mean_absolute_error: 0.1187, mean_prior_absolute_error: 0.4219, number_of_instances: 81920, precision: 0.9101, predictive_accuracy: 0.9104, prior_entropy: 0.8842, recall: 0.9104, relative_absolute_error: 0.2814, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2609, root_relative_squared_error: 0.5682, scimark_benchmark: 938.3115, usercpu_time_millis: 420, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9612, f_measure: 0.9102, kappa: 0.7869, kb_relative_information_score: 58762.6419, mean_absolute_error: 0.1187, mean_prior_absolute_error: 0.4219, number_of_instances: 81920, precision: 0.9101, predictive_accuracy: 0.9104, prior_entropy: 0.8842, recall: 0.9104, relative_absolute_error: 0.2814, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2609, root_relative_squared_error: 0.5682, scimark_benchmark: 929.0296, usercpu_time_millis: 480, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9612, f_measure: 0.9102, kappa: 0.7869, kb_relative_information_score: 58762.6419, mean_absolute_error: 0.1187, mean_prior_absolute_error: 0.4219, number_of_instances: 81920, precision: 0.9101, predictive_accuracy: 0.9104, prior_entropy: 0.8842, recall: 0.9104, relative_absolute_error: 0.2814, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2609, root_relative_squared_error: 0.5682, scimark_benchmark: 936.1714, usercpu_time_millis: 420, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 400,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9534, f_measure: 0.9021, kappa: 0.7666, kb_relative_information_score: 56120.9744, mean_absolute_error: 0.134, mean_prior_absolute_error: 0.4219, number_of_instances: 81920, precision: 0.9018, predictive_accuracy: 0.9027, prior_entropy: 0.8842, recall: 0.9027, relative_absolute_error: 0.3177, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2709, root_relative_squared_error: 0.5899, scimark_benchmark: 941.9549, usercpu_time_millis: 220, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 210,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.8775, kappa: 0.7228, kb_relative_information_score: 55194.8395, mean_absolute_error: 0.1285, mean_prior_absolute_error: 0.4219, number_of_instances: 81920, precision: 0.8938, predictive_accuracy: 0.8739, prior_entropy: 0.8842, recall: 0.8739, relative_absolute_error: 0.3045, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.3316, root_relative_squared_error: 0.722, scimark_benchmark: 1331.2559, usercpu_time_millis: 130, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9262, kappa: 0.8257, kb_relative_information_score: 65007.0113, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.4219, number_of_instances: 81920, precision: 0.9265, predictive_accuracy: 0.926, prior_entropy: 0.8842, recall: 0.926, relative_absolute_error: 0.1982, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2413, root_relative_squared_error: 0.5253, scimark_benchmark: 1303.5632, usercpu_time_millis: 160, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9262, kappa: 0.8257, kb_relative_information_score: 65007.0113, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.4219, number_of_instances: 81920, precision: 0.9265, predictive_accuracy: 0.926, prior_entropy: 0.8842, recall: 0.926, relative_absolute_error: 0.1982, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2413, root_relative_squared_error: 0.5253, scimark_benchmark: 1303.5632, usercpu_time_millis: 130, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.8775, kappa: 0.7228, kb_relative_information_score: 55194.8395, mean_absolute_error: 0.1285, mean_prior_absolute_error: 0.4219, number_of_instances: 81920, precision: 0.8938, predictive_accuracy: 0.8739, prior_entropy: 0.8842, recall: 0.8739, relative_absolute_error: 0.3045, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.3316, root_relative_squared_error: 0.722, scimark_benchmark: 1338.5214, usercpu_time_millis: 100, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9262, kappa: 0.8257, kb_relative_information_score: 65007.0113, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.4219, number_of_instances: 81920, precision: 0.9265, predictive_accuracy: 0.926, prior_entropy: 0.8842, recall: 0.926, relative_absolute_error: 0.1982, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2413, root_relative_squared_error: 0.5253, scimark_benchmark: 1324.8408, usercpu_time_millis: 150, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9262, kappa: 0.8257, kb_relative_information_score: 65007.0113, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.4219, number_of_instances: 81920, precision: 0.9265, predictive_accuracy: 0.926, prior_entropy: 0.8842, recall: 0.926, relative_absolute_error: 0.1982, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2413, root_relative_squared_error: 0.5253, scimark_benchmark: 1333.202, usercpu_time_millis: 120, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9262, kappa: 0.8257, kb_relative_information_score: 65007.0113, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.4219, number_of_instances: 81920, precision: 0.9265, predictive_accuracy: 0.926, prior_entropy: 0.8842, recall: 0.926, relative_absolute_error: 0.1982, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2413, root_relative_squared_error: 0.5253, scimark_benchmark: 1333.202, usercpu_time_millis: 120, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.937, kappa: 0.8498, kb_relative_information_score: 62542.6505, mean_absolute_error: 0.1039, mean_prior_absolute_error: 0.4219, number_of_instances: 81920, precision: 0.937, predictive_accuracy: 0.9374, prior_entropy: 0.8842, recall: 0.9374, relative_absolute_error: 0.2462, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2145, root_relative_squared_error: 0.4669, scimark_benchmark: 1318.6467, usercpu_time_millis: 5420, usercpu_time_millis_testing: 600, usercpu_time_millis_training: 4820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.938, kappa: 0.8524, kb_relative_information_score: 64794.749, mean_absolute_error: 0.09, mean_prior_absolute_error: 0.4219, number_of_instances: 81920, precision: 0.938, predictive_accuracy: 0.9384, prior_entropy: 0.8842, recall: 0.9384, relative_absolute_error: 0.2133, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2123, root_relative_squared_error: 0.4621, scimark_benchmark: 1340.5125, usercpu_time_millis: 928640, usercpu_time_millis_testing: 12330, usercpu_time_millis_training: 916310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9262, kappa: 0.8257, kb_relative_information_score: 65007.0113, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.4219, number_of_instances: 81920, precision: 0.9265, predictive_accuracy: 0.926, prior_entropy: 0.8842, recall: 0.926, relative_absolute_error: 0.1982, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2413, root_relative_squared_error: 0.5253, scimark_benchmark: 1349.1517, usercpu_time_millis: 160, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9262, kappa: 0.8257, kb_relative_information_score: 65007.0113, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.4219, number_of_instances: 81920, precision: 0.9265, predictive_accuracy: 0.926, prior_entropy: 0.8842, recall: 0.926, relative_absolute_error: 0.1982, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2413, root_relative_squared_error: 0.5253, scimark_benchmark: 1349.1517, usercpu_time_millis: 140, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9262, kappa: 0.8257, kb_relative_information_score: 65007.0113, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.4219, number_of_instances: 81920, precision: 0.9265, predictive_accuracy: 0.926, prior_entropy: 0.8842, recall: 0.926, relative_absolute_error: 0.1982, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2413, root_relative_squared_error: 0.5253, scimark_benchmark: 1310.6554, usercpu_time_millis: 150, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.8775, kappa: 0.7228, kb_relative_information_score: 55194.8395, mean_absolute_error: 0.1285, mean_prior_absolute_error: 0.4219, number_of_instances: 81920, precision: 0.8938, predictive_accuracy: 0.8739, prior_entropy: 0.8842, recall: 0.8739, relative_absolute_error: 0.3045, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.3316, root_relative_squared_error: 0.722, scimark_benchmark: 1322.3407, usercpu_time_millis: 150, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9262, kappa: 0.8257, kb_relative_information_score: 65007.0113, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.4219, number_of_instances: 81920, precision: 0.9265, predictive_accuracy: 0.926, prior_entropy: 0.8842, recall: 0.926, relative_absolute_error: 0.1982, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2413, root_relative_squared_error: 0.5253, scimark_benchmark: 1313.11, usercpu_time_millis: 140, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9262, kappa: 0.8257, kb_relative_information_score: 65007.0113, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.4219, number_of_instances: 81920, precision: 0.9265, predictive_accuracy: 0.926, prior_entropy: 0.8842, recall: 0.926, relative_absolute_error: 0.1982, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2413, root_relative_squared_error: 0.5253, scimark_benchmark: 1329.8008, usercpu_time_millis: 130, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5734, kb_relative_information_score: 19026.1791, mean_absolute_error: 0.3024, mean_prior_absolute_error: 0.4219, number_of_instances: 81920, precision: 0.4867, predictive_accuracy: 0.6976, prior_entropy: 0.8842, recall: 0.6976, relative_absolute_error: 0.7167, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.5499, root_relative_squared_error: 1.1973, scimark_benchmark: 1331.1314, usercpu_time_millis: 281530, usercpu_time_millis_testing: 61260, usercpu_time_millis_training: 220270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5734, kb_relative_information_score: 19026.1791, mean_absolute_error: 0.3024, mean_prior_absolute_error: 0.4219, number_of_instances: 81920, precision: 0.4867, predictive_accuracy: 0.6976, prior_entropy: 0.8842, recall: 0.6976, relative_absolute_error: 0.7167, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.5499, root_relative_squared_error: 1.1973, scimark_benchmark: 1313.5633, usercpu_time_millis: 266350, usercpu_time_millis_testing: 62740, usercpu_time_millis_training: 203610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9503, f_measure: 0.9108, kappa: 0.7876, kb_relative_information_score: 61789.7705, mean_absolute_error: 0.1004, mean_prior_absolute_error: 0.4219, number_of_instances: 81920, precision: 0.9106, predictive_accuracy: 0.9112, prior_entropy: 0.8842, recall: 0.9112, relative_absolute_error: 0.2379, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.271, root_relative_squared_error: 0.59, scimark_benchmark: 1322.3407, usercpu_time_millis: 18070, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 17970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9262, kappa: 0.8257, kb_relative_information_score: 65007.0113, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.4219, number_of_instances: 81920, precision: 0.9265, predictive_accuracy: 0.926, prior_entropy: 0.8842, recall: 0.926, relative_absolute_error: 0.1982, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2413, root_relative_squared_error: 0.5253, scimark_benchmark: 1331.4379, usercpu_time_millis: 120, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9262, kappa: 0.8257, kb_relative_information_score: 65007.0113, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.4219, number_of_instances: 81920, precision: 0.9265, predictive_accuracy: 0.926, prior_entropy: 0.8842, recall: 0.926, relative_absolute_error: 0.1982, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2413, root_relative_squared_error: 0.5253, scimark_benchmark: 1313.11, usercpu_time_millis: 150, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9262, kappa: 0.8257, kb_relative_information_score: 65007.0113, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.4219, number_of_instances: 81920, precision: 0.9265, predictive_accuracy: 0.926, prior_entropy: 0.8842, recall: 0.926, relative_absolute_error: 0.1982, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2413, root_relative_squared_error: 0.5253, scimark_benchmark: 1313.5633, usercpu_time_millis: 160, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9262, kappa: 0.8257, kb_relative_information_score: 65007.0113, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.4219, number_of_instances: 81920, precision: 0.9265, predictive_accuracy: 0.926, prior_entropy: 0.8842, recall: 0.926, relative_absolute_error: 0.1982, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2413, root_relative_squared_error: 0.5253, scimark_benchmark: 1342.2845, usercpu_time_millis: 160, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9262, kappa: 0.8257, kb_relative_information_score: 65007.0113, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.4219, number_of_instances: 81920, precision: 0.9265, predictive_accuracy: 0.926, prior_entropy: 0.8842, recall: 0.926, relative_absolute_error: 0.1982, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2413, root_relative_squared_error: 0.5253, scimark_benchmark: 1313.11, usercpu_time_millis: 130, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9503, f_measure: 0.9108, kappa: 0.7876, kb_relative_information_score: 61789.7705, mean_absolute_error: 0.1004, mean_prior_absolute_error: 0.4219, number_of_instances: 81920, precision: 0.9106, predictive_accuracy: 0.9112, prior_entropy: 0.8842, recall: 0.9112, relative_absolute_error: 0.2379, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.271, root_relative_squared_error: 0.59, scimark_benchmark: 1313.5633, usercpu_time_millis: 17070, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 16970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.937, kappa: 0.8498, kb_relative_information_score: 62542.6505, mean_absolute_error: 0.1039, mean_prior_absolute_error: 0.4219, number_of_instances: 81920, precision: 0.937, predictive_accuracy: 0.9374, prior_entropy: 0.8842, recall: 0.9374, relative_absolute_error: 0.2462, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2145, root_relative_squared_error: 0.4669, scimark_benchmark: 1323.5075, usercpu_time_millis: 4980, usercpu_time_millis_testing: 690, usercpu_time_millis_training: 4290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9377, f_measure: 0.9155, kappa: 0.7977, kb_relative_information_score: 59391.134, mean_absolute_error: 0.1196, mean_prior_absolute_error: 0.4219, number_of_instances: 81920, precision: 0.9157, predictive_accuracy: 0.9165, prior_entropy: 0.8842, recall: 0.9165, relative_absolute_error: 0.2836, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2641, root_relative_squared_error: 0.575, scimark_benchmark: 1393.8432, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9662, f_measure: 0.9132, kappa: 0.7932, kb_relative_information_score: 49795.1906, mean_absolute_error: 0.1766, mean_prior_absolute_error: 0.4219, number_of_instances: 81920, precision: 0.913, predictive_accuracy: 0.9137, prior_entropy: 0.8842, recall: 0.9137, relative_absolute_error: 0.4186, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2613, root_relative_squared_error: 0.5689, scimark_benchmark: 1346.0226, usercpu_time_millis: 1300, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.91, f_measure: 0.9187, kappa: 0.806, kb_relative_information_score: 63391.1191, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.4219, number_of_instances: 81920, precision: 0.9186, predictive_accuracy: 0.9193, prior_entropy: 0.8842, recall: 0.9193, relative_absolute_error: 0.2207, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.271, root_relative_squared_error: 0.59, scimark_benchmark: 1364.991, usercpu_time_millis: 450, usercpu_time_millis_training: 450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9655, f_measure: 0.917, kappa: 0.8019, kb_relative_information_score: 57761.7615, mean_absolute_error: 0.128, mean_prior_absolute_error: 0.4219, number_of_instances: 81920, precision: 0.917, predictive_accuracy: 0.9177, prior_entropy: 0.8842, recall: 0.9177, relative_absolute_error: 0.3035, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2498, root_relative_squared_error: 0.5438, scimark_benchmark: 1339.6197, usercpu_time_millis: 2590, usercpu_time_millis_training: 2590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5734, kb_relative_information_score: 19026.1791, mean_absolute_error: 0.3024, mean_prior_absolute_error: 0.4219, number_of_instances: 81920, precision: 0.4867, predictive_accuracy: 0.6976, prior_entropy: 0.8842, recall: 0.6976, relative_absolute_error: 0.7167, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.5499, root_relative_squared_error: 1.1973, scimark_benchmark: 1318.4315, usercpu_time_millis: 172870, usercpu_time_millis_testing: 35460, usercpu_time_millis_training: 137410,

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