OpenML
Supervised Classification on autos

Supervised Classification on autos

Task 4543 Supervised Classification autos 218 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.8712, kappa: 0.7044, kb_relative_information_score: 1276.0463, mean_absolute_error: 0.1678, mean_prior_absolute_error: 0.4406, number_of_instances: 2050, precision: 0.8711, predictive_accuracy: 0.8727, prior_entropy: 0.9134, recall: 0.8727, relative_absolute_error: 0.3807, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.3301, root_relative_squared_error: 0.7037, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8787, f_measure: 0.8117, kappa: 0.5641, kb_relative_information_score: 823.7089, mean_absolute_error: 0.2696, mean_prior_absolute_error: 0.4406, number_of_instances: 2050, precision: 0.8126, predictive_accuracy: 0.8166, prior_entropy: 0.9134, recall: 0.8166, relative_absolute_error: 0.6118, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.7683, scimark_benchmark: 972.587, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8609, f_measure: 0.8185, kappa: 0.5837, kb_relative_information_score: 937.6352, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.4406, number_of_instances: 2050, precision: 0.8177, predictive_accuracy: 0.8205, prior_entropy: 0.9134, recall: 0.8205, relative_absolute_error: 0.5493, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.368, root_relative_squared_error: 0.7846, scimark_benchmark: 934.3687, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5417, kb_relative_information_score: 446.6088, mean_absolute_error: 0.3268, mean_prior_absolute_error: 0.4406, number_of_instances: 2050, precision: 0.4532, predictive_accuracy: 0.6732, prior_entropy: 0.9134, recall: 0.6732, relative_absolute_error: 0.7418, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.5717, root_relative_squared_error: 1.2188, scimark_benchmark: 944.1067, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5417, kb_relative_information_score: 446.6088, mean_absolute_error: 0.3268, mean_prior_absolute_error: 0.4406, number_of_instances: 2050, precision: 0.4532, predictive_accuracy: 0.6732, prior_entropy: 0.9134, recall: 0.6732, relative_absolute_error: 0.7418, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.5717, root_relative_squared_error: 1.2188, scimark_benchmark: 904.0772, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8592, f_measure: 0.801, kappa: 0.5564, kb_relative_information_score: 932.9388, mean_absolute_error: 0.2339, mean_prior_absolute_error: 0.4406, number_of_instances: 2050, precision: 0.8071, predictive_accuracy: 0.798, prior_entropy: 0.9134, recall: 0.798, relative_absolute_error: 0.5308, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.8449, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.8603, kappa: 0.6822, kb_relative_information_score: 1250.0663, mean_absolute_error: 0.171, mean_prior_absolute_error: 0.4406, number_of_instances: 2050, precision: 0.8602, predictive_accuracy: 0.8605, prior_entropy: 0.9134, recall: 0.8605, relative_absolute_error: 0.3881, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.32, root_relative_squared_error: 0.6821, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.8603, kappa: 0.6822, kb_relative_information_score: 1250.0663, mean_absolute_error: 0.171, mean_prior_absolute_error: 0.4406, number_of_instances: 2050, precision: 0.8602, predictive_accuracy: 0.8605, prior_entropy: 0.9134, recall: 0.8605, relative_absolute_error: 0.3881, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.32, root_relative_squared_error: 0.6821, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.8603, kappa: 0.6822, kb_relative_information_score: 1250.0663, mean_absolute_error: 0.171, mean_prior_absolute_error: 0.4406, number_of_instances: 2050, precision: 0.8602, predictive_accuracy: 0.8605, prior_entropy: 0.9134, recall: 0.8605, relative_absolute_error: 0.3881, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.32, root_relative_squared_error: 0.6821, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8915, f_measure: 0.8273, kappa: 0.6029, kb_relative_information_score: 973.182, mean_absolute_error: 0.2345, mean_prior_absolute_error: 0.4406, number_of_instances: 2050, precision: 0.8268, predictive_accuracy: 0.8298, prior_entropy: 0.9134, recall: 0.8298, relative_absolute_error: 0.5322, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.3495, root_relative_squared_error: 0.7451, scimark_benchmark: 938.191, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.909, f_measure: 0.8592, kappa: 0.6775, kb_relative_information_score: 1194.8843, mean_absolute_error: 0.188, mean_prior_absolute_error: 0.4406, number_of_instances: 2050, precision: 0.8588, predictive_accuracy: 0.8605, prior_entropy: 0.9134, recall: 0.8605, relative_absolute_error: 0.4267, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.6838, scimark_benchmark: 934.3687, usercpu_time_millis: 1070, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 1030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9155, f_measure: 0.8538, kappa: 0.6658, kb_relative_information_score: 1317.2377, mean_absolute_error: 0.1502, mean_prior_absolute_error: 0.4406, number_of_instances: 2050, precision: 0.8533, predictive_accuracy: 0.8546, prior_entropy: 0.9134, recall: 0.8546, relative_absolute_error: 0.3409, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.3498, root_relative_squared_error: 0.7457, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.9129, kappa: 0.7997, kb_relative_information_score: 1297.6816, mean_absolute_error: 0.1762, mean_prior_absolute_error: 0.4406, number_of_instances: 2050, precision: 0.914, predictive_accuracy: 0.9141, prior_entropy: 0.9134, recall: 0.9141, relative_absolute_error: 0.3999, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.2645, root_relative_squared_error: 0.564, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5417, kb_relative_information_score: 446.6088, mean_absolute_error: 0.3268, mean_prior_absolute_error: 0.4406, number_of_instances: 2050, precision: 0.4532, predictive_accuracy: 0.6732, prior_entropy: 0.9134, recall: 0.6732, relative_absolute_error: 0.7418, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.5717, root_relative_squared_error: 1.2188, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5417, kb_relative_information_score: 446.6088, mean_absolute_error: 0.3268, mean_prior_absolute_error: 0.4406, number_of_instances: 2050, precision: 0.4532, predictive_accuracy: 0.6732, prior_entropy: 0.9134, recall: 0.6732, relative_absolute_error: 0.7418, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.5717, root_relative_squared_error: 1.2188, scimark_benchmark: 932.438, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8592, f_measure: 0.801, kappa: 0.5564, kb_relative_information_score: 932.9388, mean_absolute_error: 0.2339, mean_prior_absolute_error: 0.4406, number_of_instances: 2050, precision: 0.8071, predictive_accuracy: 0.798, prior_entropy: 0.9134, recall: 0.798, relative_absolute_error: 0.5308, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.8449, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.9129, kappa: 0.7997, kb_relative_information_score: 1297.6816, mean_absolute_error: 0.1762, mean_prior_absolute_error: 0.4406, number_of_instances: 2050, precision: 0.914, predictive_accuracy: 0.9141, prior_entropy: 0.9134, recall: 0.9141, relative_absolute_error: 0.3999, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.2645, root_relative_squared_error: 0.564, scimark_benchmark: 947.1781, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.8712, kappa: 0.7044, kb_relative_information_score: 1276.0463, mean_absolute_error: 0.1678, mean_prior_absolute_error: 0.4406, number_of_instances: 2050, precision: 0.8711, predictive_accuracy: 0.8727, prior_entropy: 0.9134, recall: 0.8727, relative_absolute_error: 0.3807, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.3301, root_relative_squared_error: 0.7037, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8787, f_measure: 0.8117, kappa: 0.5641, kb_relative_information_score: 823.7089, mean_absolute_error: 0.2696, mean_prior_absolute_error: 0.4406, number_of_instances: 2050, precision: 0.8126, predictive_accuracy: 0.8166, prior_entropy: 0.9134, recall: 0.8166, relative_absolute_error: 0.6118, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.7683, scimark_benchmark: 908.9569, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8609, f_measure: 0.8185, kappa: 0.5837, kb_relative_information_score: 937.6352, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.4406, number_of_instances: 2050, precision: 0.8177, predictive_accuracy: 0.8205, prior_entropy: 0.9134, recall: 0.8205, relative_absolute_error: 0.5493, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.368, root_relative_squared_error: 0.7846, scimark_benchmark: 938.1282, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5417, kb_relative_information_score: 446.6088, mean_absolute_error: 0.3268, mean_prior_absolute_error: 0.4406, number_of_instances: 2050, precision: 0.4532, predictive_accuracy: 0.6732, prior_entropy: 0.9134, recall: 0.6732, relative_absolute_error: 0.7418, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.5717, root_relative_squared_error: 1.2188, scimark_benchmark: 937.5683, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5417, kb_relative_information_score: 446.6088, mean_absolute_error: 0.3268, mean_prior_absolute_error: 0.4406, number_of_instances: 2050, precision: 0.4532, predictive_accuracy: 0.6732, prior_entropy: 0.9134, recall: 0.6732, relative_absolute_error: 0.7418, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.5717, root_relative_squared_error: 1.2188, scimark_benchmark: 859.5223, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8592, f_measure: 0.801, kappa: 0.5564, kb_relative_information_score: 932.9388, mean_absolute_error: 0.2339, mean_prior_absolute_error: 0.4406, number_of_instances: 2050, precision: 0.8071, predictive_accuracy: 0.798, prior_entropy: 0.9134, recall: 0.798, relative_absolute_error: 0.5308, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.8449, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.8603, kappa: 0.6822, kb_relative_information_score: 1250.0663, mean_absolute_error: 0.171, mean_prior_absolute_error: 0.4406, number_of_instances: 2050, precision: 0.8602, predictive_accuracy: 0.8605, prior_entropy: 0.9134, recall: 0.8605, relative_absolute_error: 0.3881, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.32, root_relative_squared_error: 0.6821, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.8603, kappa: 0.6822, kb_relative_information_score: 1250.0663, mean_absolute_error: 0.171, mean_prior_absolute_error: 0.4406, number_of_instances: 2050, precision: 0.8602, predictive_accuracy: 0.8605, prior_entropy: 0.9134, recall: 0.8605, relative_absolute_error: 0.3881, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.32, root_relative_squared_error: 0.6821, scimark_benchmark: 933.3455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8915, f_measure: 0.8273, kappa: 0.6029, kb_relative_information_score: 973.182, mean_absolute_error: 0.2345, mean_prior_absolute_error: 0.4406, number_of_instances: 2050, precision: 0.8268, predictive_accuracy: 0.8298, prior_entropy: 0.9134, recall: 0.8298, relative_absolute_error: 0.5322, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.3495, root_relative_squared_error: 0.7451, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.909, f_measure: 0.8592, kappa: 0.6775, kb_relative_information_score: 1194.8843, mean_absolute_error: 0.188, mean_prior_absolute_error: 0.4406, number_of_instances: 2050, precision: 0.8588, predictive_accuracy: 0.8605, prior_entropy: 0.9134, recall: 0.8605, relative_absolute_error: 0.4267, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.6838, scimark_benchmark: 931.9419, usercpu_time_millis: 480, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.8603, kappa: 0.6822, kb_relative_information_score: 1250.0663, mean_absolute_error: 0.171, mean_prior_absolute_error: 0.4406, number_of_instances: 2050, precision: 0.8602, predictive_accuracy: 0.8605, prior_entropy: 0.9134, recall: 0.8605, relative_absolute_error: 0.3881, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.32, root_relative_squared_error: 0.6821, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9155, f_measure: 0.8538, kappa: 0.6658, kb_relative_information_score: 1317.2377, mean_absolute_error: 0.1502, mean_prior_absolute_error: 0.4406, number_of_instances: 2050, precision: 0.8533, predictive_accuracy: 0.8546, prior_entropy: 0.9134, recall: 0.8546, relative_absolute_error: 0.3409, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.3498, root_relative_squared_error: 0.7457, scimark_benchmark: 936.3213, usercpu_time_millis: 880, usercpu_time_millis_training: 880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.9129, kappa: 0.7997, kb_relative_information_score: 1297.6816, mean_absolute_error: 0.1762, mean_prior_absolute_error: 0.4406, number_of_instances: 2050, precision: 0.914, predictive_accuracy: 0.9141, prior_entropy: 0.9134, recall: 0.9141, relative_absolute_error: 0.3999, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.2645, root_relative_squared_error: 0.564, scimark_benchmark: 936.3213, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9675, f_measure: 0.9027, kappa: 0.776, kb_relative_information_score: 1376.8546, mean_absolute_error: 0.1545, mean_prior_absolute_error: 0.4406, number_of_instances: 2050, precision: 0.9042, predictive_accuracy: 0.9044, prior_entropy: 0.9134, recall: 0.9044, relative_absolute_error: 0.3507, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.2574, root_relative_squared_error: 0.5489, scimark_benchmark: 917.5013, usercpu_time_millis: 4700, usercpu_time_millis_testing: 1740, usercpu_time_millis_training: 2960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9663, f_measure: 0.9039, kappa: 0.779, kb_relative_information_score: 1368.6802, mean_absolute_error: 0.1563, mean_prior_absolute_error: 0.4406, number_of_instances: 2050, precision: 0.9049, predictive_accuracy: 0.9054, prior_entropy: 0.9134, recall: 0.9054, relative_absolute_error: 0.3547, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.2588, root_relative_squared_error: 0.5518, scimark_benchmark: 859.5223, usercpu_time_millis: 2270, usercpu_time_millis_testing: 780, usercpu_time_millis_training: 1490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.964, f_measure: 0.9018, kappa: 0.7737, kb_relative_information_score: 1364.4682, mean_absolute_error: 0.1563, mean_prior_absolute_error: 0.4406, number_of_instances: 2050, precision: 0.9032, predictive_accuracy: 0.9034, prior_entropy: 0.9134, recall: 0.9034, relative_absolute_error: 0.3547, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.2626, root_relative_squared_error: 0.5599, scimark_benchmark: 933.4823, usercpu_time_millis: 1030, usercpu_time_millis_testing: 310, usercpu_time_millis_training: 720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9586, f_measure: 0.9037, kappa: 0.7783, kb_relative_information_score: 1362.4002, mean_absolute_error: 0.1564, mean_prior_absolute_error: 0.4406, number_of_instances: 2050, precision: 0.9052, predictive_accuracy: 0.9054, prior_entropy: 0.9134, recall: 0.9054, relative_absolute_error: 0.355, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.2648, root_relative_squared_error: 0.5645, scimark_benchmark: 891.6381, usercpu_time_millis: 450, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.8949, kappa: 0.7581, kb_relative_information_score: 1353.1904, mean_absolute_error: 0.1555, mean_prior_absolute_error: 0.4406, number_of_instances: 2050, precision: 0.896, predictive_accuracy: 0.8966, prior_entropy: 0.9134, recall: 0.8966, relative_absolute_error: 0.353, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.2727, root_relative_squared_error: 0.5814, scimark_benchmark: 905.3417, usercpu_time_millis: 240, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8419, f_measure: 0.7832, kappa: 0.5067, kb_relative_information_score: 817.2571, mean_absolute_error: 0.2618, mean_prior_absolute_error: 0.4406, number_of_instances: 2050, precision: 0.7829, predictive_accuracy: 0.7834, prior_entropy: 0.9134, recall: 0.7834, relative_absolute_error: 0.5942, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.3899, root_relative_squared_error: 0.8312, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8419, f_measure: 0.7832, kappa: 0.5067, kb_relative_information_score: 817.2571, mean_absolute_error: 0.2618, mean_prior_absolute_error: 0.4406, number_of_instances: 2050, precision: 0.7829, predictive_accuracy: 0.7834, prior_entropy: 0.9134, recall: 0.7834, relative_absolute_error: 0.5942, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.3899, root_relative_squared_error: 0.8312, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8419, f_measure: 0.7832, kappa: 0.5067, kb_relative_information_score: 817.2571, mean_absolute_error: 0.2618, mean_prior_absolute_error: 0.4406, number_of_instances: 2050, precision: 0.7829, predictive_accuracy: 0.7834, prior_entropy: 0.9134, recall: 0.7834, relative_absolute_error: 0.5942, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.3899, root_relative_squared_error: 0.8312, scimark_benchmark: 936.7184, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8419, f_measure: 0.7832, kappa: 0.5067, kb_relative_information_score: 817.2571, mean_absolute_error: 0.2618, mean_prior_absolute_error: 0.4406, number_of_instances: 2050, precision: 0.7829, predictive_accuracy: 0.7834, prior_entropy: 0.9134, recall: 0.7834, relative_absolute_error: 0.5942, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.3899, root_relative_squared_error: 0.8312, scimark_benchmark: 929.0296,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.8603, kappa: 0.6822, kb_relative_information_score: 1250.0663, mean_absolute_error: 0.171, mean_prior_absolute_error: 0.4406, number_of_instances: 2050, precision: 0.8602, predictive_accuracy: 0.8605, prior_entropy: 0.9134, recall: 0.8605, relative_absolute_error: 0.3881, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.32, root_relative_squared_error: 0.6821, scimark_benchmark: 908.2231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.8603, kappa: 0.6822, kb_relative_information_score: 1250.0663, mean_absolute_error: 0.171, mean_prior_absolute_error: 0.4406, number_of_instances: 2050, precision: 0.8602, predictive_accuracy: 0.8605, prior_entropy: 0.9134, recall: 0.8605, relative_absolute_error: 0.3881, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.32, root_relative_squared_error: 0.6821, scimark_benchmark: 908.2231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.8603, kappa: 0.6822, kb_relative_information_score: 1250.0663, mean_absolute_error: 0.171, mean_prior_absolute_error: 0.4406, number_of_instances: 2050, precision: 0.8602, predictive_accuracy: 0.8605, prior_entropy: 0.9134, recall: 0.8605, relative_absolute_error: 0.3881, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.32, root_relative_squared_error: 0.6821, scimark_benchmark: 1286.2211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.8603, kappa: 0.6822, kb_relative_information_score: 1250.0663, mean_absolute_error: 0.171, mean_prior_absolute_error: 0.4406, number_of_instances: 2050, precision: 0.8602, predictive_accuracy: 0.8605, prior_entropy: 0.9134, recall: 0.8605, relative_absolute_error: 0.3881, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.32, root_relative_squared_error: 0.6821, scimark_benchmark: 908.2231, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8592, f_measure: 0.801, kappa: 0.5564, kb_relative_information_score: 932.9388, mean_absolute_error: 0.2339, mean_prior_absolute_error: 0.4406, number_of_instances: 2050, precision: 0.8071, predictive_accuracy: 0.798, prior_entropy: 0.9134, recall: 0.798, relative_absolute_error: 0.5308, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.8449, scimark_benchmark: 1337.8124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.8603, kappa: 0.6822, kb_relative_information_score: 1250.0663, mean_absolute_error: 0.171, mean_prior_absolute_error: 0.4406, number_of_instances: 2050, precision: 0.8602, predictive_accuracy: 0.8605, prior_entropy: 0.9134, recall: 0.8605, relative_absolute_error: 0.3881, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.32, root_relative_squared_error: 0.6821, scimark_benchmark: 1340.9749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8787, f_measure: 0.8117, kappa: 0.5641, kb_relative_information_score: 823.7089, mean_absolute_error: 0.2696, mean_prior_absolute_error: 0.4406, number_of_instances: 2050, precision: 0.8126, predictive_accuracy: 0.8166, prior_entropy: 0.9134, recall: 0.8166, relative_absolute_error: 0.6118, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.7683, scimark_benchmark: 1313.8988, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.8603, kappa: 0.6822, kb_relative_information_score: 1250.0663, mean_absolute_error: 0.171, mean_prior_absolute_error: 0.4406, number_of_instances: 2050, precision: 0.8602, predictive_accuracy: 0.8605, prior_entropy: 0.9134, recall: 0.8605, relative_absolute_error: 0.3881, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.32, root_relative_squared_error: 0.6821, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.8603, kappa: 0.6822, kb_relative_information_score: 1250.0663, mean_absolute_error: 0.171, mean_prior_absolute_error: 0.4406, number_of_instances: 2050, precision: 0.8602, predictive_accuracy: 0.8605, prior_entropy: 0.9134, recall: 0.8605, relative_absolute_error: 0.3881, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.32, root_relative_squared_error: 0.6821, scimark_benchmark: 1317.2327, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.9129, kappa: 0.7997, kb_relative_information_score: 1297.6816, mean_absolute_error: 0.1762, mean_prior_absolute_error: 0.4406, number_of_instances: 2050, precision: 0.914, predictive_accuracy: 0.9141, prior_entropy: 0.9134, recall: 0.9141, relative_absolute_error: 0.3999, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.2645, root_relative_squared_error: 0.564, scimark_benchmark: 1350.2591, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.8712, kappa: 0.7044, kb_relative_information_score: 1276.0463, mean_absolute_error: 0.1678, mean_prior_absolute_error: 0.4406, number_of_instances: 2050, precision: 0.8711, predictive_accuracy: 0.8727, prior_entropy: 0.9134, recall: 0.8727, relative_absolute_error: 0.3807, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.3301, root_relative_squared_error: 0.7037, scimark_benchmark: 1336.0954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8787, f_measure: 0.8117, kappa: 0.5641, kb_relative_information_score: 823.7089, mean_absolute_error: 0.2696, mean_prior_absolute_error: 0.4406, number_of_instances: 2050, precision: 0.8126, predictive_accuracy: 0.8166, prior_entropy: 0.9134, recall: 0.8166, relative_absolute_error: 0.6118, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.7683, scimark_benchmark: 1319.4538, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8592, f_measure: 0.801, kappa: 0.5564, kb_relative_information_score: 932.9388, mean_absolute_error: 0.2339, mean_prior_absolute_error: 0.4406, number_of_instances: 2050, precision: 0.8071, predictive_accuracy: 0.798, prior_entropy: 0.9134, recall: 0.798, relative_absolute_error: 0.5308, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.8449, scimark_benchmark: 1337.9552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8915, f_measure: 0.8273, kappa: 0.6029, kb_relative_information_score: 973.182, mean_absolute_error: 0.2345, mean_prior_absolute_error: 0.4406, number_of_instances: 2050, precision: 0.8268, predictive_accuracy: 0.8298, prior_entropy: 0.9134, recall: 0.8298, relative_absolute_error: 0.5322, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.3495, root_relative_squared_error: 0.7451, scimark_benchmark: 1337.9552, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.909, f_measure: 0.8592, kappa: 0.6775, kb_relative_information_score: 1194.8843, mean_absolute_error: 0.188, mean_prior_absolute_error: 0.4406, number_of_instances: 2050, precision: 0.8588, predictive_accuracy: 0.8605, prior_entropy: 0.9134, recall: 0.8605, relative_absolute_error: 0.4267, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.6838, scimark_benchmark: 906.4475, usercpu_time_millis: 690, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.8603, kappa: 0.6822, kb_relative_information_score: 1250.0663, mean_absolute_error: 0.171, mean_prior_absolute_error: 0.4406, number_of_instances: 2050, precision: 0.8602, predictive_accuracy: 0.8605, prior_entropy: 0.9134, recall: 0.8605, relative_absolute_error: 0.3881, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.32, root_relative_squared_error: 0.6821, scimark_benchmark: 1339.2472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8592, f_measure: 0.801, kappa: 0.5564, kb_relative_information_score: 932.9388, mean_absolute_error: 0.2339, mean_prior_absolute_error: 0.4406, number_of_instances: 2050, precision: 0.8071, predictive_accuracy: 0.798, prior_entropy: 0.9134, recall: 0.798, relative_absolute_error: 0.5308, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.8449, scimark_benchmark: 1326.2019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.8603, kappa: 0.6822, kb_relative_information_score: 1250.0663, mean_absolute_error: 0.171, mean_prior_absolute_error: 0.4406, number_of_instances: 2050, precision: 0.8602, predictive_accuracy: 0.8605, prior_entropy: 0.9134, recall: 0.8605, relative_absolute_error: 0.3881, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.32, root_relative_squared_error: 0.6821, scimark_benchmark: 1337.3324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.8603, kappa: 0.6822, kb_relative_information_score: 1250.0663, mean_absolute_error: 0.171, mean_prior_absolute_error: 0.4406, number_of_instances: 2050, precision: 0.8602, predictive_accuracy: 0.8605, prior_entropy: 0.9134, recall: 0.8605, relative_absolute_error: 0.3881, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.32, root_relative_squared_error: 0.6821, scimark_benchmark: 1337.1928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.8603, kappa: 0.6822, kb_relative_information_score: 1250.0663, mean_absolute_error: 0.171, mean_prior_absolute_error: 0.4406, number_of_instances: 2050, precision: 0.8602, predictive_accuracy: 0.8605, prior_entropy: 0.9134, recall: 0.8605, relative_absolute_error: 0.3881, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.32, root_relative_squared_error: 0.6821, scimark_benchmark: 1332.9478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9155, f_measure: 0.8538, kappa: 0.6658, kb_relative_information_score: 1317.2377, mean_absolute_error: 0.1502, mean_prior_absolute_error: 0.4406, number_of_instances: 2050, precision: 0.8533, predictive_accuracy: 0.8546, prior_entropy: 0.9134, recall: 0.8546, relative_absolute_error: 0.3409, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.3498, root_relative_squared_error: 0.7457, scimark_benchmark: 1334.863, usercpu_time_millis: 740, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.9129, kappa: 0.7997, kb_relative_information_score: 1297.6816, mean_absolute_error: 0.1762, mean_prior_absolute_error: 0.4406, number_of_instances: 2050, precision: 0.914, predictive_accuracy: 0.9141, prior_entropy: 0.9134, recall: 0.9141, relative_absolute_error: 0.3999, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.2645, root_relative_squared_error: 0.564, scimark_benchmark: 1346.2927, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.8712, kappa: 0.7044, kb_relative_information_score: 1276.0463, mean_absolute_error: 0.1678, mean_prior_absolute_error: 0.4406, number_of_instances: 2050, precision: 0.8711, predictive_accuracy: 0.8727, prior_entropy: 0.9134, recall: 0.8727, relative_absolute_error: 0.3807, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.3301, root_relative_squared_error: 0.7037, scimark_benchmark: 1342.2845,

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