Task
Supervised Classification on monks-problems-3

Supervised Classification on monks-problems-3

Task 4199 Supervised Classification monks-problems-3 211 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 5333.957, mean_absolute_error: 0.0212, mean_prior_absolute_error: 0.4992, number_of_instances: 5540, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0426, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1047, root_relative_squared_error: 0.2095, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 4875.0651, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.4992, number_of_instances: 5540, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.148, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1343, root_relative_squared_error: 0.2687, scimark_benchmark: 972.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 5233.4169, mean_absolute_error: 0.0335, mean_prior_absolute_error: 0.4992, number_of_instances: 5540, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0671, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.107, root_relative_squared_error: 0.2141, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9646, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 5139.0498, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.4992, number_of_instances: 5540, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.0723, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.19, root_relative_squared_error: 0.3803, scimark_benchmark: 904.6764, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9646, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 5139.0498, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.4992, number_of_instances: 5540, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.0723, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.19, root_relative_squared_error: 0.3803, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.969, kappa: 0.9379, kb_relative_information_score: 4528.907, mean_absolute_error: 0.1105, mean_prior_absolute_error: 0.4992, number_of_instances: 5540, precision: 0.9693, predictive_accuracy: 0.969, prior_entropy: 0.9989, recall: 0.969, relative_absolute_error: 0.2213, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1651, root_relative_squared_error: 0.3304, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.969, kappa: 0.9379, kb_relative_information_score: 4528.907, mean_absolute_error: 0.1105, mean_prior_absolute_error: 0.4992, number_of_instances: 5540, precision: 0.9693, predictive_accuracy: 0.969, prior_entropy: 0.9989, recall: 0.969, relative_absolute_error: 0.2213, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1651, root_relative_squared_error: 0.3304, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.969, kappa: 0.9379, kb_relative_information_score: 4528.907, mean_absolute_error: 0.1105, mean_prior_absolute_error: 0.4992, number_of_instances: 5540, precision: 0.9693, predictive_accuracy: 0.969, prior_entropy: 0.9989, recall: 0.969, relative_absolute_error: 0.2213, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1651, root_relative_squared_error: 0.3304, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 5333.5267, mean_absolute_error: 0.0212, mean_prior_absolute_error: 0.4992, number_of_instances: 5540, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0426, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1048, root_relative_squared_error: 0.2098, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9884, kappa: 0.9768, kb_relative_information_score: 5072.2974, mean_absolute_error: 0.0512, mean_prior_absolute_error: 0.4992, number_of_instances: 5540, precision: 0.9885, predictive_accuracy: 0.9884, prior_entropy: 0.9989, recall: 0.9884, relative_absolute_error: 0.1025, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1231, root_relative_squared_error: 0.2463, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9646, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 5139.0498, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.4992, number_of_instances: 5540, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.0723, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.19, root_relative_squared_error: 0.3803, scimark_benchmark: 947.1781, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.969, kappa: 0.9379, kb_relative_information_score: 4528.907, mean_absolute_error: 0.1105, mean_prior_absolute_error: 0.4992, number_of_instances: 5540, precision: 0.9693, predictive_accuracy: 0.969, prior_entropy: 0.9989, recall: 0.969, relative_absolute_error: 0.2213, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1651, root_relative_squared_error: 0.3304, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9792, kappa: 0.9584, kb_relative_information_score: 5007.6564, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.4992, number_of_instances: 5540, precision: 0.9792, predictive_accuracy: 0.9792, prior_entropy: 0.9989, recall: 0.9792, relative_absolute_error: 0.1149, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1335, root_relative_squared_error: 0.2671, scimark_benchmark: 943.1009, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 5333.957, mean_absolute_error: 0.0212, mean_prior_absolute_error: 0.4992, number_of_instances: 5540, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0426, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1047, root_relative_squared_error: 0.2095, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 4875.0651, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.4992, number_of_instances: 5540, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.148, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1343, root_relative_squared_error: 0.2687, scimark_benchmark: 901.6243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 5233.4169, mean_absolute_error: 0.0335, mean_prior_absolute_error: 0.4992, number_of_instances: 5540, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0671, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.107, root_relative_squared_error: 0.2141, scimark_benchmark: 608.4057, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9646, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 5139.0498, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.4992, number_of_instances: 5540, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.0723, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.19, root_relative_squared_error: 0.3803, scimark_benchmark: 908.9569, usercpu_time_millis: 100, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9646, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 5139.0498, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.4992, number_of_instances: 5540, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.0723, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.19, root_relative_squared_error: 0.3803, scimark_benchmark: 934.5964, usercpu_time_millis: 90, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 4187.2745, mean_absolute_error: 0.1456, mean_prior_absolute_error: 0.4992, number_of_instances: 5540, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.2917, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.2064, root_relative_squared_error: 0.4131, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.969, kappa: 0.9379, kb_relative_information_score: 4528.907, mean_absolute_error: 0.1105, mean_prior_absolute_error: 0.4992, number_of_instances: 5540, precision: 0.9693, predictive_accuracy: 0.969, prior_entropy: 0.9989, recall: 0.969, relative_absolute_error: 0.2213, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1651, root_relative_squared_error: 0.3304, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.969, kappa: 0.9379, kb_relative_information_score: 4528.907, mean_absolute_error: 0.1105, mean_prior_absolute_error: 0.4992, number_of_instances: 5540, precision: 0.9693, predictive_accuracy: 0.969, prior_entropy: 0.9989, recall: 0.969, relative_absolute_error: 0.2213, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1651, root_relative_squared_error: 0.3304, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.969, kappa: 0.9379, kb_relative_information_score: 4528.907, mean_absolute_error: 0.1105, mean_prior_absolute_error: 0.4992, number_of_instances: 5540, precision: 0.9693, predictive_accuracy: 0.969, prior_entropy: 0.9989, recall: 0.969, relative_absolute_error: 0.2213, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1651, root_relative_squared_error: 0.3304, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.969, kappa: 0.9379, kb_relative_information_score: 4528.907, mean_absolute_error: 0.1105, mean_prior_absolute_error: 0.4992, number_of_instances: 5540, precision: 0.9693, predictive_accuracy: 0.969, prior_entropy: 0.9989, recall: 0.969, relative_absolute_error: 0.2213, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1651, root_relative_squared_error: 0.3304, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 5333.5267, mean_absolute_error: 0.0212, mean_prior_absolute_error: 0.4992, number_of_instances: 5540, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0426, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1048, root_relative_squared_error: 0.2098, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.969, kappa: 0.9379, kb_relative_information_score: 4528.907, mean_absolute_error: 0.1105, mean_prior_absolute_error: 0.4992, number_of_instances: 5540, precision: 0.9693, predictive_accuracy: 0.969, prior_entropy: 0.9989, recall: 0.969, relative_absolute_error: 0.2213, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1651, root_relative_squared_error: 0.3304, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 4777.753, mean_absolute_error: 0.0845, mean_prior_absolute_error: 0.4992, number_of_instances: 5540, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.1693, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1431, root_relative_squared_error: 0.2865, scimark_benchmark: 932.438, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9792, kappa: 0.9584, kb_relative_information_score: 5007.6564, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.4992, number_of_instances: 5540, precision: 0.9792, predictive_accuracy: 0.9792, prior_entropy: 0.9989, recall: 0.9792, relative_absolute_error: 0.1149, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1335, root_relative_squared_error: 0.2671, scimark_benchmark: 936.9595, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 5327.954, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.4992, number_of_instances: 5540, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0445, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1037, root_relative_squared_error: 0.2076, scimark_benchmark: 974.2014, usercpu_time_millis: 3150, usercpu_time_millis_testing: 1730, usercpu_time_millis_training: 1420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 5327.8016, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.4992, number_of_instances: 5540, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0445, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1038, root_relative_squared_error: 0.2077, scimark_benchmark: 941.7587, usercpu_time_millis: 720, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 5328.2669, mean_absolute_error: 0.0221, mean_prior_absolute_error: 0.4992, number_of_instances: 5540, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0444, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1038, root_relative_squared_error: 0.2077, scimark_benchmark: 939.3535, usercpu_time_millis: 370, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 5329.2844, mean_absolute_error: 0.022, mean_prior_absolute_error: 0.4992, number_of_instances: 5540, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0441, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1039, root_relative_squared_error: 0.208, scimark_benchmark: 932.4744, usercpu_time_millis: 190, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 5327.5415, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.4992, number_of_instances: 5540, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0445, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1042, root_relative_squared_error: 0.2086, scimark_benchmark: 941.9549, usercpu_time_millis: 100, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9607, kappa: 0.9212, kb_relative_information_score: 4585.8095, mean_absolute_error: 0.0991, mean_prior_absolute_error: 0.4992, number_of_instances: 5540, precision: 0.9607, predictive_accuracy: 0.9607, prior_entropy: 0.9989, recall: 0.9607, relative_absolute_error: 0.1986, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1878, root_relative_squared_error: 0.3759, scimark_benchmark: 894.7131, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9607, kappa: 0.9212, kb_relative_information_score: 4585.8095, mean_absolute_error: 0.0991, mean_prior_absolute_error: 0.4992, number_of_instances: 5540, precision: 0.9607, predictive_accuracy: 0.9607, prior_entropy: 0.9989, recall: 0.9607, relative_absolute_error: 0.1986, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1878, root_relative_squared_error: 0.3759, scimark_benchmark: 926.5859,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9608, kappa: 0.9216, kb_relative_information_score: 4585.3149, mean_absolute_error: 0.0992, mean_prior_absolute_error: 0.4992, number_of_instances: 5540, precision: 0.9609, predictive_accuracy: 0.9608, prior_entropy: 0.9989, recall: 0.9608, relative_absolute_error: 0.1987, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1878, root_relative_squared_error: 0.376, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.9634, kappa: 0.9266, kb_relative_information_score: 4587.3793, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.4992, number_of_instances: 5540, precision: 0.9635, predictive_accuracy: 0.9634, prior_entropy: 0.9989, recall: 0.9634, relative_absolute_error: 0.1988, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1867, root_relative_squared_error: 0.3737, scimark_benchmark: 894.7131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4927, f_measure: 0.3556, kb_relative_information_score: -0.1834, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 5540, precision: 0.2703, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9664, kappa: 0.9328, kb_relative_information_score: 4346.4991, mean_absolute_error: 0.1295, mean_prior_absolute_error: 0.4992, number_of_instances: 5540, precision: 0.9669, predictive_accuracy: 0.9664, prior_entropy: 0.9989, recall: 0.9664, relative_absolute_error: 0.2595, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1844, root_relative_squared_error: 0.3691, scimark_benchmark: 1318.4315, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9829, kappa: 0.9656, kb_relative_information_score: 5213.4862, mean_absolute_error: 0.0331, mean_prior_absolute_error: 0.4992, number_of_instances: 5540, precision: 0.9829, predictive_accuracy: 0.9829, prior_entropy: 0.9989, recall: 0.9829, relative_absolute_error: 0.0662, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1285, root_relative_squared_error: 0.2571, scimark_benchmark: 1338.6772, usercpu_time_millis: 270, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9646, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 5139.0498, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.4992, number_of_instances: 5540, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.0723, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.19, root_relative_squared_error: 0.3803, scimark_benchmark: 1348.2804, usercpu_time_millis: 90, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 50,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.969, kappa: 0.9379, kb_relative_information_score: 4528.907, mean_absolute_error: 0.1105, mean_prior_absolute_error: 0.4992, number_of_instances: 5540, precision: 0.9693, predictive_accuracy: 0.969, prior_entropy: 0.9989, recall: 0.969, relative_absolute_error: 0.2213, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1651, root_relative_squared_error: 0.3304, scimark_benchmark: 1393.1381,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9884, kappa: 0.9768, kb_relative_information_score: 5072.2974, mean_absolute_error: 0.0512, mean_prior_absolute_error: 0.4992, number_of_instances: 5540, precision: 0.9885, predictive_accuracy: 0.9884, prior_entropy: 0.9989, recall: 0.9884, relative_absolute_error: 0.1025, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1231, root_relative_squared_error: 0.2463, scimark_benchmark: 1333.9878, usercpu_time_millis: 1200, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 1140,
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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

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs