Task
Supervised Classification on fri_c3_250_10

Supervised Classification on fri_c3_250_10

Task 4363 Supervised Classification fri_c3_250_10 227 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8708, f_measure: 0.8599, kappa: 0.7176, kb_relative_information_score: 1580.3091, mean_absolute_error: 0.195, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.8633, predictive_accuracy: 0.8608, prior_entropy: 0.9955, recall: 0.8608, relative_absolute_error: 0.3925, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3397, root_relative_squared_error: 0.6816, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9266, f_measure: 0.8702, kappa: 0.7385, kb_relative_information_score: 1414.377, mean_absolute_error: 0.2334, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.8704, predictive_accuracy: 0.8704, prior_entropy: 0.9955, recall: 0.8704, relative_absolute_error: 0.4697, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.324, root_relative_squared_error: 0.6501, scimark_benchmark: 972.587, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9428, f_measure: 0.8902, kappa: 0.7788, kb_relative_information_score: 1721.3666, mean_absolute_error: 0.1669, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.8905, predictive_accuracy: 0.8904, prior_entropy: 0.9955, recall: 0.8904, relative_absolute_error: 0.3359, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.2931, root_relative_squared_error: 0.588, scimark_benchmark: 934.3687, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7493, f_measure: 0.7472, kappa: 0.4945, kb_relative_information_score: 1222.2356, mean_absolute_error: 0.2532, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.7514, predictive_accuracy: 0.7468, prior_entropy: 0.9955, recall: 0.7468, relative_absolute_error: 0.5096, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5032, root_relative_squared_error: 1.0096, 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: 0.7493, f_measure: 0.7472, kappa: 0.4945, kb_relative_information_score: 1222.2356, mean_absolute_error: 0.2532, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.7514, predictive_accuracy: 0.7468, prior_entropy: 0.9955, recall: 0.7468, relative_absolute_error: 0.5096, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5032, root_relative_squared_error: 1.0096, scimark_benchmark: 916.0735, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9402, f_measure: 0.8683, kappa: 0.7347, kb_relative_information_score: 1638.2408, mean_absolute_error: 0.1808, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.8683, predictive_accuracy: 0.8684, prior_entropy: 0.9955, recall: 0.8684, relative_absolute_error: 0.3639, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3057, root_relative_squared_error: 0.6134, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9402, f_measure: 0.8683, kappa: 0.7347, kb_relative_information_score: 1638.2408, mean_absolute_error: 0.1808, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.8683, predictive_accuracy: 0.8684, prior_entropy: 0.9955, recall: 0.8684, relative_absolute_error: 0.3639, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3057, root_relative_squared_error: 0.6134, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9386, f_measure: 0.8726, kappa: 0.7434, kb_relative_information_score: 1491.2619, mean_absolute_error: 0.2171, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.8728, predictive_accuracy: 0.8728, prior_entropy: 0.9955, recall: 0.8728, relative_absolute_error: 0.437, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3098, root_relative_squared_error: 0.6216, scimark_benchmark: 938.191, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7185, f_measure: 0.6526, kappa: 0.3012, kb_relative_information_score: 485.874, mean_absolute_error: 0.4092, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.6529, predictive_accuracy: 0.6524, prior_entropy: 0.9955, recall: 0.6524, relative_absolute_error: 0.8237, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4621, root_relative_squared_error: 0.9272, scimark_benchmark: 938.9588, usercpu_time_millis: 1420, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9082, f_measure: 0.858, kappa: 0.7142, kb_relative_information_score: 1572.8003, mean_absolute_error: 0.1949, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.858, predictive_accuracy: 0.858, prior_entropy: 0.9955, recall: 0.858, relative_absolute_error: 0.3923, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3377, root_relative_squared_error: 0.6776, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7493, f_measure: 0.7472, kappa: 0.4945, kb_relative_information_score: 1222.2356, mean_absolute_error: 0.2532, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.7514, predictive_accuracy: 0.7468, prior_entropy: 0.9955, recall: 0.7468, relative_absolute_error: 0.5096, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5032, root_relative_squared_error: 1.0096, scimark_benchmark: 941.3847, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7493, f_measure: 0.7472, kappa: 0.4945, kb_relative_information_score: 1222.2356, mean_absolute_error: 0.2532, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.7514, predictive_accuracy: 0.7468, prior_entropy: 0.9955, recall: 0.7468, relative_absolute_error: 0.5096, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5032, root_relative_squared_error: 1.0096, scimark_benchmark: 941.3847, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9402, f_measure: 0.8683, kappa: 0.7347, kb_relative_information_score: 1638.2408, mean_absolute_error: 0.1808, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.8683, predictive_accuracy: 0.8684, prior_entropy: 0.9955, recall: 0.8684, relative_absolute_error: 0.3639, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3057, root_relative_squared_error: 0.6134, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9402, f_measure: 0.8683, kappa: 0.7347, kb_relative_information_score: 1638.2408, mean_absolute_error: 0.1808, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.8683, predictive_accuracy: 0.8684, prior_entropy: 0.9955, recall: 0.8684, relative_absolute_error: 0.3639, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3057, root_relative_squared_error: 0.6134, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9402, f_measure: 0.8683, kappa: 0.7347, kb_relative_information_score: 1638.2408, mean_absolute_error: 0.1808, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.8683, predictive_accuracy: 0.8684, prior_entropy: 0.9955, recall: 0.8684, relative_absolute_error: 0.3639, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3057, root_relative_squared_error: 0.6134, scimark_benchmark: 947.1781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, f_measure: 0.9075, kappa: 0.8138, kb_relative_information_score: 1541.2498, mean_absolute_error: 0.2116, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.9076, predictive_accuracy: 0.9076, prior_entropy: 0.9955, recall: 0.9076, relative_absolute_error: 0.4258, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.2828, root_relative_squared_error: 0.5674, scimark_benchmark: 943.1009, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8708, f_measure: 0.8599, kappa: 0.7176, kb_relative_information_score: 1580.3091, mean_absolute_error: 0.195, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.8633, predictive_accuracy: 0.8608, prior_entropy: 0.9955, recall: 0.8608, relative_absolute_error: 0.3925, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3397, root_relative_squared_error: 0.6816, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9266, f_measure: 0.8702, kappa: 0.7385, kb_relative_information_score: 1414.377, mean_absolute_error: 0.2334, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.8704, predictive_accuracy: 0.8704, prior_entropy: 0.9955, recall: 0.8704, relative_absolute_error: 0.4697, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.324, root_relative_squared_error: 0.6501, scimark_benchmark: 908.9569, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9428, f_measure: 0.8902, kappa: 0.7788, kb_relative_information_score: 1721.3666, mean_absolute_error: 0.1669, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.8905, predictive_accuracy: 0.8904, prior_entropy: 0.9955, recall: 0.8904, relative_absolute_error: 0.3359, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.2931, root_relative_squared_error: 0.588, scimark_benchmark: 936.2574, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7493, f_measure: 0.7472, kappa: 0.4945, kb_relative_information_score: 1222.2356, mean_absolute_error: 0.2532, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.7514, predictive_accuracy: 0.7468, prior_entropy: 0.9955, recall: 0.7468, relative_absolute_error: 0.5096, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5032, root_relative_squared_error: 1.0096, scimark_benchmark: 927.2882, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7493, f_measure: 0.7472, kappa: 0.4945, kb_relative_information_score: 1222.2356, mean_absolute_error: 0.2532, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.7514, predictive_accuracy: 0.7468, prior_entropy: 0.9955, recall: 0.7468, relative_absolute_error: 0.5096, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5032, root_relative_squared_error: 1.0096, scimark_benchmark: 943.6618, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9398, f_measure: 0.8594, kappa: 0.7175, kb_relative_information_score: 1621.1871, mean_absolute_error: 0.1841, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.8603, predictive_accuracy: 0.8592, prior_entropy: 0.9955, recall: 0.8592, relative_absolute_error: 0.3705, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3095, root_relative_squared_error: 0.621, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9402, f_measure: 0.8683, kappa: 0.7347, kb_relative_information_score: 1638.2408, mean_absolute_error: 0.1808, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.8683, predictive_accuracy: 0.8684, prior_entropy: 0.9955, recall: 0.8684, relative_absolute_error: 0.3639, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3057, root_relative_squared_error: 0.6134, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9402, f_measure: 0.8683, kappa: 0.7347, kb_relative_information_score: 1638.2408, mean_absolute_error: 0.1808, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.8683, predictive_accuracy: 0.8684, prior_entropy: 0.9955, recall: 0.8684, relative_absolute_error: 0.3639, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3057, root_relative_squared_error: 0.6134, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9402, f_measure: 0.8683, kappa: 0.7347, kb_relative_information_score: 1638.2408, mean_absolute_error: 0.1808, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.8683, predictive_accuracy: 0.8684, prior_entropy: 0.9955, recall: 0.8684, relative_absolute_error: 0.3639, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3057, root_relative_squared_error: 0.6134, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9402, f_measure: 0.8683, kappa: 0.7347, kb_relative_information_score: 1638.2408, mean_absolute_error: 0.1808, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.8683, predictive_accuracy: 0.8684, prior_entropy: 0.9955, recall: 0.8684, relative_absolute_error: 0.3639, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3057, root_relative_squared_error: 0.6134, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9386, f_measure: 0.8726, kappa: 0.7434, kb_relative_information_score: 1491.2619, mean_absolute_error: 0.2171, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.8728, predictive_accuracy: 0.8728, prior_entropy: 0.9955, recall: 0.8728, relative_absolute_error: 0.437, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3098, root_relative_squared_error: 0.6216, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7185, f_measure: 0.6526, kappa: 0.3012, kb_relative_information_score: 485.874, mean_absolute_error: 0.4092, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.6529, predictive_accuracy: 0.6524, prior_entropy: 0.9955, recall: 0.6524, relative_absolute_error: 0.8237, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4621, root_relative_squared_error: 0.9272, scimark_benchmark: 934.5964, usercpu_time_millis: 1130, usercpu_time_millis_training: 1130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9402, f_measure: 0.8683, kappa: 0.7347, kb_relative_information_score: 1638.2408, mean_absolute_error: 0.1808, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.8683, predictive_accuracy: 0.8684, prior_entropy: 0.9955, recall: 0.8684, relative_absolute_error: 0.3639, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3057, root_relative_squared_error: 0.6134, scimark_benchmark: 945.6228, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9082, f_measure: 0.858, kappa: 0.7142, kb_relative_information_score: 1572.8003, mean_absolute_error: 0.1949, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.858, predictive_accuracy: 0.858, prior_entropy: 0.9955, recall: 0.858, relative_absolute_error: 0.3923, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3377, root_relative_squared_error: 0.6776, scimark_benchmark: 730.6551, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, f_measure: 0.9075, kappa: 0.8138, kb_relative_information_score: 1541.2498, mean_absolute_error: 0.2116, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.9076, predictive_accuracy: 0.9076, prior_entropy: 0.9955, recall: 0.9076, relative_absolute_error: 0.4258, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.2828, root_relative_squared_error: 0.5674, scimark_benchmark: 730.6551, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9462, f_measure: 0.8928, kappa: 0.7844, kb_relative_information_score: 1174.0197, mean_absolute_error: 0.2902, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.8929, predictive_accuracy: 0.8928, prior_entropy: 0.9955, recall: 0.8928, relative_absolute_error: 0.584, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3332, root_relative_squared_error: 0.6684, scimark_benchmark: 1171.0303, usercpu_time_millis: 2480, usercpu_time_millis_testing: 1290, usercpu_time_millis_training: 1190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9447, f_measure: 0.8884, kappa: 0.7755, kb_relative_information_score: 1184.8303, mean_absolute_error: 0.2878, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.8885, predictive_accuracy: 0.8884, prior_entropy: 0.9955, recall: 0.8884, relative_absolute_error: 0.5792, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3323, root_relative_squared_error: 0.6668, scimark_benchmark: 943.6618, usercpu_time_millis: 560, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9455, f_measure: 0.8844, kappa: 0.7673, kb_relative_information_score: 1202.4586, mean_absolute_error: 0.2836, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.8844, predictive_accuracy: 0.8844, prior_entropy: 0.9955, recall: 0.8844, relative_absolute_error: 0.5707, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3305, root_relative_squared_error: 0.6632, scimark_benchmark: 942.5233, usercpu_time_millis: 300, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9376, f_measure: 0.8805, kappa: 0.7597, kb_relative_information_score: 1180.1106, mean_absolute_error: 0.2871, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.8808, predictive_accuracy: 0.8804, prior_entropy: 0.9955, recall: 0.8804, relative_absolute_error: 0.5779, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3366, root_relative_squared_error: 0.6754, scimark_benchmark: 917.2109, usercpu_time_millis: 150, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9211, f_measure: 0.8517, kappa: 0.7015, kb_relative_information_score: 1147.4028, mean_absolute_error: 0.291, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.8517, predictive_accuracy: 0.8516, prior_entropy: 0.9955, recall: 0.8516, relative_absolute_error: 0.5856, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3482, root_relative_squared_error: 0.6987, scimark_benchmark: 908.4147, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9573, f_measure: 0.8984, kappa: 0.7954, kb_relative_information_score: 1890.2358, mean_absolute_error: 0.1255, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.8984, predictive_accuracy: 0.8984, prior_entropy: 0.9955, recall: 0.8984, relative_absolute_error: 0.2526, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.2832, root_relative_squared_error: 0.5683, scimark_benchmark: 930.0565, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7493, f_measure: 0.7472, kappa: 0.4945, kb_relative_information_score: 1222.2356, mean_absolute_error: 0.2532, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.7514, predictive_accuracy: 0.7468, prior_entropy: 0.9955, recall: 0.7468, relative_absolute_error: 0.5096, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5032, root_relative_squared_error: 1.0096, scimark_benchmark: 1324.9519, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9402, f_measure: 0.8683, kappa: 0.7347, kb_relative_information_score: 1638.2408, mean_absolute_error: 0.1808, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.8683, predictive_accuracy: 0.8684, prior_entropy: 0.9955, recall: 0.8684, relative_absolute_error: 0.3639, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3057, root_relative_squared_error: 0.6134, scimark_benchmark: 1362.9924, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9402, f_measure: 0.8683, kappa: 0.7347, kb_relative_information_score: 1638.2408, mean_absolute_error: 0.1808, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.8683, predictive_accuracy: 0.8684, prior_entropy: 0.9955, recall: 0.8684, relative_absolute_error: 0.3639, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3057, root_relative_squared_error: 0.6134, scimark_benchmark: 1331.2559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9402, f_measure: 0.8683, kappa: 0.7347, kb_relative_information_score: 1638.2408, mean_absolute_error: 0.1808, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.8683, predictive_accuracy: 0.8684, prior_entropy: 0.9955, recall: 0.8684, relative_absolute_error: 0.3639, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3057, root_relative_squared_error: 0.6134, scimark_benchmark: 908.2231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9402, f_measure: 0.8683, kappa: 0.7347, kb_relative_information_score: 1638.2408, mean_absolute_error: 0.1808, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.8683, predictive_accuracy: 0.8684, prior_entropy: 0.9955, recall: 0.8684, relative_absolute_error: 0.3639, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3057, root_relative_squared_error: 0.6134, scimark_benchmark: 908.2231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9402, f_measure: 0.8683, kappa: 0.7347, kb_relative_information_score: 1638.2408, mean_absolute_error: 0.1808, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.8683, predictive_accuracy: 0.8684, prior_entropy: 0.9955, recall: 0.8684, relative_absolute_error: 0.3639, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3057, root_relative_squared_error: 0.6134, scimark_benchmark: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9402, f_measure: 0.8683, kappa: 0.7347, kb_relative_information_score: 1638.2408, mean_absolute_error: 0.1808, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.8683, predictive_accuracy: 0.8684, prior_entropy: 0.9955, recall: 0.8684, relative_absolute_error: 0.3639, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3057, root_relative_squared_error: 0.6134, scimark_benchmark: 1333.202, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9402, f_measure: 0.8683, kappa: 0.7347, kb_relative_information_score: 1638.2408, mean_absolute_error: 0.1808, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.8683, predictive_accuracy: 0.8684, prior_entropy: 0.9955, recall: 0.8684, relative_absolute_error: 0.3639, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3057, root_relative_squared_error: 0.6134, scimark_benchmark: 1350.2591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9402, f_measure: 0.8683, kappa: 0.7347, kb_relative_information_score: 1638.2408, mean_absolute_error: 0.1808, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.8683, predictive_accuracy: 0.8684, prior_entropy: 0.9955, recall: 0.8684, relative_absolute_error: 0.3639, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3057, root_relative_squared_error: 0.6134, scimark_benchmark: 1366.7181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9386, f_measure: 0.8726, kappa: 0.7434, kb_relative_information_score: 1491.2619, mean_absolute_error: 0.2171, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.8728, predictive_accuracy: 0.8728, prior_entropy: 0.9955, recall: 0.8728, relative_absolute_error: 0.437, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3098, root_relative_squared_error: 0.6216, scimark_benchmark: 1324.6442, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9402, f_measure: 0.8683, kappa: 0.7347, kb_relative_information_score: 1638.2408, mean_absolute_error: 0.1808, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.8683, predictive_accuracy: 0.8684, prior_entropy: 0.9955, recall: 0.8684, relative_absolute_error: 0.3639, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3057, root_relative_squared_error: 0.6134, scimark_benchmark: 1313.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9402, f_measure: 0.8683, kappa: 0.7347, kb_relative_information_score: 1638.2408, mean_absolute_error: 0.1808, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.8683, predictive_accuracy: 0.8684, prior_entropy: 0.9955, recall: 0.8684, relative_absolute_error: 0.3639, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3057, root_relative_squared_error: 0.6134, scimark_benchmark: 1310.6554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7185, f_measure: 0.6526, kappa: 0.3012, kb_relative_information_score: 485.8798, mean_absolute_error: 0.4092, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.6529, predictive_accuracy: 0.6524, prior_entropy: 0.9955, recall: 0.6524, relative_absolute_error: 0.8236, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4621, root_relative_squared_error: 0.9272, scimark_benchmark: 1393.8432, usercpu_time_millis: 770, usercpu_time_millis_training: 770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9402, f_measure: 0.8683, kappa: 0.7347, kb_relative_information_score: 1638.2408, mean_absolute_error: 0.1808, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.8683, predictive_accuracy: 0.8684, prior_entropy: 0.9955, recall: 0.8684, relative_absolute_error: 0.3639, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3057, root_relative_squared_error: 0.6134, scimark_benchmark: 1316.6799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9398, f_measure: 0.8594, kappa: 0.7175, kb_relative_information_score: 1621.1871, mean_absolute_error: 0.1841, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.8603, predictive_accuracy: 0.8592, prior_entropy: 0.9955, recall: 0.8592, relative_absolute_error: 0.3705, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3095, root_relative_squared_error: 0.621, scimark_benchmark: 1327.3335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9402, f_measure: 0.8683, kappa: 0.7347, kb_relative_information_score: 1638.2408, mean_absolute_error: 0.1808, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.8683, predictive_accuracy: 0.8684, prior_entropy: 0.9955, recall: 0.8684, relative_absolute_error: 0.3639, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3057, root_relative_squared_error: 0.6134, scimark_benchmark: 1374.9737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9402, f_measure: 0.8683, kappa: 0.7347, kb_relative_information_score: 1638.2408, mean_absolute_error: 0.1808, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.8683, predictive_accuracy: 0.8684, prior_entropy: 0.9955, recall: 0.8684, relative_absolute_error: 0.3639, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3057, root_relative_squared_error: 0.6134, scimark_benchmark: 1342.2845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9402, f_measure: 0.8683, kappa: 0.7347, kb_relative_information_score: 1638.2408, mean_absolute_error: 0.1808, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.8683, predictive_accuracy: 0.8684, prior_entropy: 0.9955, recall: 0.8684, relative_absolute_error: 0.3639, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3057, root_relative_squared_error: 0.6134, scimark_benchmark: 1358.6198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9082, f_measure: 0.858, kappa: 0.7142, kb_relative_information_score: 1572.8003, mean_absolute_error: 0.1949, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.858, predictive_accuracy: 0.858, prior_entropy: 0.9955, recall: 0.858, relative_absolute_error: 0.3923, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3377, root_relative_squared_error: 0.6776, scimark_benchmark: 1345.5961, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, f_measure: 0.9075, kappa: 0.8138, kb_relative_information_score: 1541.2498, mean_absolute_error: 0.2116, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.9076, predictive_accuracy: 0.9076, prior_entropy: 0.9955, recall: 0.9076, relative_absolute_error: 0.4258, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.2828, root_relative_squared_error: 0.5674, scimark_benchmark: 1354.5533, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8708, f_measure: 0.8599, kappa: 0.7176, kb_relative_information_score: 1580.3091, mean_absolute_error: 0.195, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.8633, predictive_accuracy: 0.8608, prior_entropy: 0.9955, recall: 0.8608, relative_absolute_error: 0.3925, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3397, root_relative_squared_error: 0.6816, scimark_benchmark: 1309.4708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9266, f_measure: 0.8702, kappa: 0.7385, kb_relative_information_score: 1414.377, mean_absolute_error: 0.2334, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.8704, predictive_accuracy: 0.8704, prior_entropy: 0.9955, recall: 0.8704, relative_absolute_error: 0.4697, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.324, root_relative_squared_error: 0.6501, scimark_benchmark: 1350.1007, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9428, f_measure: 0.8902, kappa: 0.7788, kb_relative_information_score: 1721.3666, mean_absolute_error: 0.1669, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.8905, predictive_accuracy: 0.8904, prior_entropy: 0.9955, recall: 0.8904, relative_absolute_error: 0.3359, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.2931, root_relative_squared_error: 0.588, scimark_benchmark: 1322.806, usercpu_time_millis: 20, usercpu_time_millis_training: 20,

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