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Supervised Classification on monks-problems-2

Supervised Classification on monks-problems-2

Task 4198 Supervised Classification monks-problems-2 212 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5402, f_measure: 0.5026, kappa: -0.0736, kb_relative_information_score: -0.0237, mean_absolute_error: 0.4476, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6191, number_of_instances: 6010, precision: 0.423, predictive_accuracy: 0.6191, prior_entropy: 0.9274, relative_absolute_error: 0.9931, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4794, root_relative_squared_error: 1.01, scimark_benchmark: 1015.7068, unweighted_recall: 0.471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5389, f_measure: 0.5568, kappa: 0.0115, kb_relative_information_score: 26.8349, mean_absolute_error: 0.4435, mean_prior_absolute_error: 0.4507, number_of_instances: 6010, precision: 0.5587, predictive_accuracy: 0.6314, prior_entropy: 0.9279, recall: 0.6314, relative_absolute_error: 0.9839, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4921, root_relative_squared_error: 1.0369, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6612, f_measure: 0.6495, kappa: 0.2137, kb_relative_information_score: 225.4357, mean_absolute_error: 0.4206, mean_prior_absolute_error: 0.4507, number_of_instances: 6010, precision: 0.7031, predictive_accuracy: 0.7028, prior_entropy: 0.9279, recall: 0.7028, relative_absolute_error: 0.9332, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4471, root_relative_squared_error: 0.942, scimark_benchmark: 972.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6731, f_measure: 0.6426, kappa: 0.2025, kb_relative_information_score: 673.2204, mean_absolute_error: 0.3941, mean_prior_absolute_error: 0.4507, number_of_instances: 6010, precision: 0.7105, predictive_accuracy: 0.7023, prior_entropy: 0.9279, recall: 0.7023, relative_absolute_error: 0.8743, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4375, root_relative_squared_error: 0.9217, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5213, kb_relative_information_score: 1235.64, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4507, number_of_instances: 6010, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5855, root_relative_squared_error: 1.2335, scimark_benchmark: 904.6764, usercpu_time_millis: 100, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5213, kb_relative_information_score: 1235.64, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4507, number_of_instances: 6010, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5855, root_relative_squared_error: 1.2335, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6537, f_measure: 0.5256, kappa: -0.0143, kb_relative_information_score: 238.427, mean_absolute_error: 0.4274, mean_prior_absolute_error: 0.4507, number_of_instances: 6010, precision: 0.5143, predictive_accuracy: 0.6441, prior_entropy: 0.9279, recall: 0.6441, relative_absolute_error: 0.9483, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.459, root_relative_squared_error: 0.9671, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6537, f_measure: 0.5256, kappa: -0.0143, kb_relative_information_score: 238.427, mean_absolute_error: 0.4274, mean_prior_absolute_error: 0.4507, number_of_instances: 6010, precision: 0.5143, predictive_accuracy: 0.6441, prior_entropy: 0.9279, recall: 0.6441, relative_absolute_error: 0.9483, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.459, root_relative_squared_error: 0.9671, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6537, f_measure: 0.5256, kappa: -0.0143, kb_relative_information_score: 238.427, mean_absolute_error: 0.4274, mean_prior_absolute_error: 0.4507, number_of_instances: 6010, precision: 0.5143, predictive_accuracy: 0.6441, prior_entropy: 0.9279, recall: 0.6441, relative_absolute_error: 0.9483, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.459, root_relative_squared_error: 0.9671, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5677, f_measure: 0.5569, kappa: -0.0019, kb_relative_information_score: 9.844, mean_absolute_error: 0.4381, mean_prior_absolute_error: 0.4507, number_of_instances: 6010, precision: 0.5483, predictive_accuracy: 0.6126, prior_entropy: 0.9279, recall: 0.6126, relative_absolute_error: 0.972, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4801, root_relative_squared_error: 1.0115, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8914, f_measure: 0.748, kappa: 0.4281, kb_relative_information_score: 1370.4858, mean_absolute_error: 0.3552, mean_prior_absolute_error: 0.4507, number_of_instances: 6010, precision: 0.7956, predictive_accuracy: 0.7752, prior_entropy: 0.9279, recall: 0.7752, relative_absolute_error: 0.788, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8428, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5213, kb_relative_information_score: 1235.64, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4507, number_of_instances: 6010, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5855, root_relative_squared_error: 1.2335, scimark_benchmark: 947.1781, usercpu_time_millis: 110, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.802, f_measure: 0.6844, kappa: 0.3051, kb_relative_information_score: 1336.4277, mean_absolute_error: 0.3417, mean_prior_absolute_error: 0.4507, number_of_instances: 6010, precision: 0.6872, predictive_accuracy: 0.6822, prior_entropy: 0.9279, recall: 0.6822, relative_absolute_error: 0.7582, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4231, root_relative_squared_error: 0.8914, scimark_benchmark: 947.1781, usercpu_time_millis: 100, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5389, f_measure: 0.5568, kappa: 0.0115, kb_relative_information_score: 26.8349, mean_absolute_error: 0.4435, mean_prior_absolute_error: 0.4507, number_of_instances: 6010, precision: 0.5587, predictive_accuracy: 0.6314, prior_entropy: 0.9279, recall: 0.6314, relative_absolute_error: 0.9839, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4921, root_relative_squared_error: 1.0369, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6612, f_measure: 0.6495, kappa: 0.2137, kb_relative_information_score: 225.4357, mean_absolute_error: 0.4206, mean_prior_absolute_error: 0.4507, number_of_instances: 6010, precision: 0.7031, predictive_accuracy: 0.7028, prior_entropy: 0.9279, recall: 0.7028, relative_absolute_error: 0.9332, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4471, root_relative_squared_error: 0.942, scimark_benchmark: 901.6243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6729, f_measure: 0.6425, kappa: 0.2022, kb_relative_information_score: 671.4453, mean_absolute_error: 0.3942, mean_prior_absolute_error: 0.4507, number_of_instances: 6010, precision: 0.7101, predictive_accuracy: 0.7022, prior_entropy: 0.9279, recall: 0.7022, relative_absolute_error: 0.8746, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4376, root_relative_squared_error: 0.922, scimark_benchmark: 608.4057, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5213, kb_relative_information_score: 1235.64, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4507, number_of_instances: 6010, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5855, root_relative_squared_error: 1.2335, scimark_benchmark: 908.9569, usercpu_time_millis: 110, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5213, kb_relative_information_score: 1235.64, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4507, number_of_instances: 6010, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5855, root_relative_squared_error: 1.2335, scimark_benchmark: 934.5964, usercpu_time_millis: 110, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5389, f_measure: 0.5067, kappa: -0.0583, kb_relative_information_score: -138.1229, mean_absolute_error: 0.4478, mean_prior_absolute_error: 0.4507, number_of_instances: 6010, precision: 0.425, predictive_accuracy: 0.6273, prior_entropy: 0.9279, recall: 0.6273, relative_absolute_error: 0.9935, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4788, root_relative_squared_error: 1.0087, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6537, f_measure: 0.5256, kappa: -0.0143, kb_relative_information_score: 238.427, mean_absolute_error: 0.4274, mean_prior_absolute_error: 0.4507, number_of_instances: 6010, precision: 0.5143, predictive_accuracy: 0.6441, prior_entropy: 0.9279, recall: 0.6441, relative_absolute_error: 0.9483, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.459, root_relative_squared_error: 0.9671, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5677, f_measure: 0.5569, kappa: -0.0019, kb_relative_information_score: 9.844, mean_absolute_error: 0.4381, mean_prior_absolute_error: 0.4507, number_of_instances: 6010, precision: 0.5483, predictive_accuracy: 0.6126, prior_entropy: 0.9279, recall: 0.6126, relative_absolute_error: 0.972, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4801, root_relative_squared_error: 1.0115, scimark_benchmark: 941.4991, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6537, f_measure: 0.5256, kappa: -0.0143, kb_relative_information_score: 238.427, mean_absolute_error: 0.4274, mean_prior_absolute_error: 0.4507, number_of_instances: 6010, precision: 0.5143, predictive_accuracy: 0.6441, prior_entropy: 0.9279, recall: 0.6441, relative_absolute_error: 0.9483, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.459, root_relative_squared_error: 0.9671, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6429, f_measure: 0.5993, kappa: 0.101, kb_relative_information_score: 494.0886, mean_absolute_error: 0.4046, mean_prior_absolute_error: 0.4507, number_of_instances: 6010, precision: 0.6223, predictive_accuracy: 0.6604, prior_entropy: 0.9279, recall: 0.6604, relative_absolute_error: 0.8977, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4637, root_relative_squared_error: 0.977, scimark_benchmark: 932.438, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.802, f_measure: 0.6844, kappa: 0.3051, kb_relative_information_score: 1336.4277, mean_absolute_error: 0.3417, mean_prior_absolute_error: 0.4507, number_of_instances: 6010, precision: 0.6872, predictive_accuracy: 0.6822, prior_entropy: 0.9279, recall: 0.6822, relative_absolute_error: 0.7582, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4231, root_relative_squared_error: 0.8914, scimark_benchmark: 938.988, usercpu_time_millis: 90, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 5199.2656, mean_absolute_error: 0.0818, mean_prior_absolute_error: 0.4507, number_of_instances: 6010, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9279, recall: 1, relative_absolute_error: 0.1815, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.0923, root_relative_squared_error: 0.1944, scimark_benchmark: 851.2074, usercpu_time_millis: 4150, usercpu_time_millis_testing: 1850, usercpu_time_millis_training: 2300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 5177.6588, mean_absolute_error: 0.0837, mean_prior_absolute_error: 0.4507, number_of_instances: 6010, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9279, recall: 1, relative_absolute_error: 0.1858, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.0956, root_relative_squared_error: 0.2013, scimark_benchmark: 941.7587, usercpu_time_millis: 1100, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 5172.5977, mean_absolute_error: 0.0838, mean_prior_absolute_error: 0.4507, number_of_instances: 6010, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9279, recall: 1, relative_absolute_error: 0.1859, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.0994, root_relative_squared_error: 0.2093, scimark_benchmark: 906.8974, usercpu_time_millis: 610, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 5215.6321, mean_absolute_error: 0.0793, mean_prior_absolute_error: 0.4507, number_of_instances: 6010, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9279, recall: 1, relative_absolute_error: 0.1759, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.0983, root_relative_squared_error: 0.207, scimark_benchmark: 932.4744, usercpu_time_millis: 300, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9998, kappa: 0.9996, kb_relative_information_score: 5213.3712, mean_absolute_error: 0.0784, mean_prior_absolute_error: 0.4507, number_of_instances: 6010, precision: 0.9998, predictive_accuracy: 0.9998, prior_entropy: 0.9279, recall: 0.9998, relative_absolute_error: 0.174, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1063, root_relative_squared_error: 0.2239, scimark_benchmark: 941.9549, usercpu_time_millis: 170, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5592, f_measure: 0.4848, kappa: -0.1366, kb_relative_information_score: -146.732, mean_absolute_error: 0.4447, mean_prior_absolute_error: 0.4507, number_of_instances: 6010, precision: 0.4143, predictive_accuracy: 0.5844, prior_entropy: 0.9279, recall: 0.5844, relative_absolute_error: 0.9867, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.481, root_relative_squared_error: 1.0135, scimark_benchmark: 894.7131, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5592, f_measure: 0.4848, kappa: -0.1366, kb_relative_information_score: -146.732, mean_absolute_error: 0.4447, mean_prior_absolute_error: 0.4507, number_of_instances: 6010, precision: 0.4143, predictive_accuracy: 0.5844, prior_entropy: 0.9279, recall: 0.5844, relative_absolute_error: 0.9867, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.481, root_relative_squared_error: 1.0135, scimark_benchmark: 926.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5592, f_measure: 0.4848, kappa: -0.1366, kb_relative_information_score: -146.732, mean_absolute_error: 0.4447, mean_prior_absolute_error: 0.4507, number_of_instances: 6010, precision: 0.4143, predictive_accuracy: 0.5844, prior_entropy: 0.9279, recall: 0.5844, relative_absolute_error: 0.9867, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.481, root_relative_squared_error: 1.0135, scimark_benchmark: 936.7184, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5592, f_measure: 0.4848, kappa: -0.1366, kb_relative_information_score: -146.7239, mean_absolute_error: 0.4447, mean_prior_absolute_error: 0.4507, number_of_instances: 6010, precision: 0.4143, predictive_accuracy: 0.5844, prior_entropy: 0.9279, recall: 0.5844, relative_absolute_error: 0.9867, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.481, root_relative_squared_error: 1.0135, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5594, f_measure: 0.4887, kappa: -0.1234, kb_relative_information_score: -139.1875, mean_absolute_error: 0.4446, mean_prior_absolute_error: 0.4507, number_of_instances: 6010, precision: 0.4162, predictive_accuracy: 0.5918, prior_entropy: 0.9279, recall: 0.5918, relative_absolute_error: 0.9865, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4802, root_relative_squared_error: 1.0118, scimark_benchmark: 894.7131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: -2.346, mean_absolute_error: 0.4507, mean_prior_absolute_error: 0.4507, number_of_instances: 6010, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5443, f_measure: 0.5123, kappa: -0.0373, kb_relative_information_score: 596.4419, mean_absolute_error: 0.3929, mean_prior_absolute_error: 0.4507, number_of_instances: 6010, precision: 0.4305, predictive_accuracy: 0.6381, prior_entropy: 0.9279, recall: 0.6381, relative_absolute_error: 0.8717, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5592, root_relative_squared_error: 1.1781, scimark_benchmark: 894.7131, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.553, f_measure: 0.5093, kappa: -0.0482, kb_relative_information_score: 534.7229, mean_absolute_error: 0.396, mean_prior_absolute_error: 0.4507, number_of_instances: 6010, precision: 0.4263, predictive_accuracy: 0.6326, prior_entropy: 0.9279, recall: 0.6326, relative_absolute_error: 0.8785, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5629, root_relative_squared_error: 1.186, scimark_benchmark: 936.1714, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.55, f_measure: 0.5173, kappa: -0.0165, kb_relative_information_score: 733.1607, mean_absolute_error: 0.3846, mean_prior_absolute_error: 0.4507, number_of_instances: 6010, precision: 0.4301, predictive_accuracy: 0.6489, prior_entropy: 0.9279, recall: 0.6489, relative_absolute_error: 0.8534, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5581, root_relative_squared_error: 1.176, scimark_benchmark: 936.1714, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5051, f_measure: 0.5213, kb_relative_information_score: 949.9599, mean_absolute_error: 0.3712, mean_prior_absolute_error: 0.4507, number_of_instances: 6010, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.8237, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5428, root_relative_squared_error: 1.1435, scimark_benchmark: 935.6052,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6537, f_measure: 0.5256, kappa: -0.0143, kb_relative_information_score: 238.427, mean_absolute_error: 0.4274, mean_prior_absolute_error: 0.4507, number_of_instances: 6010, precision: 0.5143, predictive_accuracy: 0.6441, prior_entropy: 0.9279, recall: 0.6441, relative_absolute_error: 0.9483, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.459, root_relative_squared_error: 0.9671, scimark_benchmark: 1339.2472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5389, f_measure: 0.5067, kappa: -0.0583, kb_relative_information_score: -138.1229, mean_absolute_error: 0.4478, mean_prior_absolute_error: 0.4507, number_of_instances: 6010, precision: 0.425, predictive_accuracy: 0.6273, prior_entropy: 0.9279, recall: 0.6273, relative_absolute_error: 0.9935, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4788, root_relative_squared_error: 1.0087, scimark_benchmark: 1337.3324,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6537, f_measure: 0.5256, kappa: -0.0143, kb_relative_information_score: 238.427, mean_absolute_error: 0.4274, mean_prior_absolute_error: 0.4507, number_of_instances: 6010, precision: 0.5143, predictive_accuracy: 0.6441, prior_entropy: 0.9279, recall: 0.6441, relative_absolute_error: 0.9483, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.459, root_relative_squared_error: 0.9671, scimark_benchmark: 1313.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6429, f_measure: 0.5993, kappa: 0.101, kb_relative_information_score: 494.0886, mean_absolute_error: 0.4046, mean_prior_absolute_error: 0.4507, number_of_instances: 6010, precision: 0.6223, predictive_accuracy: 0.6604, prior_entropy: 0.9279, recall: 0.6604, relative_absolute_error: 0.8977, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4637, root_relative_squared_error: 0.977, scimark_benchmark: 1347.6543, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.802, f_measure: 0.6844, kappa: 0.3051, kb_relative_information_score: 1336.4277, mean_absolute_error: 0.3417, mean_prior_absolute_error: 0.4507, number_of_instances: 6010, precision: 0.6872, predictive_accuracy: 0.6822, prior_entropy: 0.9279, recall: 0.6822, relative_absolute_error: 0.7582, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4231, root_relative_squared_error: 0.8914, scimark_benchmark: 1330.9181, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6729, f_measure: 0.6425, kappa: 0.2022, kb_relative_information_score: 671.4453, mean_absolute_error: 0.3942, mean_prior_absolute_error: 0.4507, number_of_instances: 6010, precision: 0.7101, predictive_accuracy: 0.7022, prior_entropy: 0.9279, recall: 0.7022, relative_absolute_error: 0.8746, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4376, root_relative_squared_error: 0.922, scimark_benchmark: 1322.3407, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8016, f_measure: 0.7565, kappa: 0.4554, kb_relative_information_score: 1656.2262, mean_absolute_error: 0.3309, mean_prior_absolute_error: 0.4507, number_of_instances: 6010, precision: 0.7552, predictive_accuracy: 0.7587, prior_entropy: 0.9279, recall: 0.7587, relative_absolute_error: 0.7341, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4253, root_relative_squared_error: 0.8961, scimark_benchmark: 1360.6367, usercpu_time_millis: 3040, usercpu_time_millis_training: 3040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5213, kb_relative_information_score: 1235.64, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4507, number_of_instances: 6010, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5855, root_relative_squared_error: 1.2335, scimark_benchmark: 1332.1612, usercpu_time_millis: 110, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6537, f_measure: 0.5256, kappa: -0.0143, kb_relative_information_score: 238.427, mean_absolute_error: 0.4274, mean_prior_absolute_error: 0.4507, number_of_instances: 6010, precision: 0.5143, predictive_accuracy: 0.6441, prior_entropy: 0.9279, recall: 0.6441, relative_absolute_error: 0.9483, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.459, root_relative_squared_error: 0.9671, scimark_benchmark: 1321.8321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6537, f_measure: 0.5256, kappa: -0.0143, kb_relative_information_score: 238.427, mean_absolute_error: 0.4274, mean_prior_absolute_error: 0.4507, number_of_instances: 6010, precision: 0.5143, predictive_accuracy: 0.6441, prior_entropy: 0.9279, recall: 0.6441, relative_absolute_error: 0.9483, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.459, root_relative_squared_error: 0.9671, scimark_benchmark: 1332.3382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6537, f_measure: 0.5256, kappa: -0.0143, kb_relative_information_score: 238.427, mean_absolute_error: 0.4274, mean_prior_absolute_error: 0.4507, number_of_instances: 6010, precision: 0.5143, predictive_accuracy: 0.6441, prior_entropy: 0.9279, recall: 0.6441, relative_absolute_error: 0.9483, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.459, root_relative_squared_error: 0.9671, scimark_benchmark: 1347.7267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5677, f_measure: 0.5569, kappa: -0.0019, kb_relative_information_score: 9.844, mean_absolute_error: 0.4381, mean_prior_absolute_error: 0.4507, number_of_instances: 6010, precision: 0.5483, predictive_accuracy: 0.6126, prior_entropy: 0.9279, recall: 0.6126, relative_absolute_error: 0.972, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4801, root_relative_squared_error: 1.0115, scimark_benchmark: 1317.2327, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6537, f_measure: 0.5256, kappa: -0.0143, kb_relative_information_score: 238.427, mean_absolute_error: 0.4274, mean_prior_absolute_error: 0.4507, number_of_instances: 6010, precision: 0.5143, predictive_accuracy: 0.6441, prior_entropy: 0.9279, recall: 0.6441, relative_absolute_error: 0.9483, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.459, root_relative_squared_error: 0.9671, scimark_benchmark: 1303.5632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.802, f_measure: 0.6844, kappa: 0.3051, kb_relative_information_score: 1336.4277, mean_absolute_error: 0.3417, mean_prior_absolute_error: 0.4507, number_of_instances: 6010, precision: 0.6872, predictive_accuracy: 0.6822, prior_entropy: 0.9279, recall: 0.6822, relative_absolute_error: 0.7582, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4231, root_relative_squared_error: 0.8914, scimark_benchmark: 1351.1238, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4612, f_measure: 0.5213, kb_relative_information_score: -212.2995, mean_absolute_error: 0.4576, mean_prior_absolute_error: 0.4507, number_of_instances: 6010, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0153, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4766, root_relative_squared_error: 1.0041, scimark_benchmark: 1323.4116, usercpu_time_millis: 160, usercpu_time_millis_testing: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.802, f_measure: 0.6844, kappa: 0.3051, kb_relative_information_score: 1336.4277, mean_absolute_error: 0.3417, mean_prior_absolute_error: 0.4507, number_of_instances: 6010, precision: 0.6872, predictive_accuracy: 0.6822, prior_entropy: 0.9279, recall: 0.6822, relative_absolute_error: 0.7582, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4231, root_relative_squared_error: 0.8914, scimark_benchmark: 1333.202, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5213, kb_relative_information_score: 1235.64, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4507, number_of_instances: 6010, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5855, root_relative_squared_error: 1.2335, scimark_benchmark: 1330.4354, usercpu_time_millis: 120, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5213, kb_relative_information_score: 1235.64, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4507, number_of_instances: 6010, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5855, root_relative_squared_error: 1.2335, scimark_benchmark: 1315.5063, usercpu_time_millis: 110, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6537, f_measure: 0.5256, kappa: -0.0143, kb_relative_information_score: 238.427, mean_absolute_error: 0.4274, mean_prior_absolute_error: 0.4507, number_of_instances: 6010, precision: 0.5143, predictive_accuracy: 0.6441, prior_entropy: 0.9279, recall: 0.6441, relative_absolute_error: 0.9483, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.459, root_relative_squared_error: 0.9671, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.802, f_measure: 0.6844, kappa: 0.3051, kb_relative_information_score: 1336.4277, mean_absolute_error: 0.3417, mean_prior_absolute_error: 0.4507, number_of_instances: 6010, precision: 0.6872, predictive_accuracy: 0.6822, prior_entropy: 0.9279, recall: 0.6822, relative_absolute_error: 0.7582, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4231, root_relative_squared_error: 0.8914, scimark_benchmark: 1260.1387, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5389, f_measure: 0.5067, kappa: -0.0583, kb_relative_information_score: -138.1229, mean_absolute_error: 0.4478, mean_prior_absolute_error: 0.4507, number_of_instances: 6010, precision: 0.425, predictive_accuracy: 0.6273, prior_entropy: 0.9279, recall: 0.6273, relative_absolute_error: 0.9935, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4788, root_relative_squared_error: 1.0087, scimark_benchmark: 1322.7257,

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