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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: 0.6429, 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: 929.0363, 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: 1281.7531, usercpu_time_millis: 90, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6537, 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: 932.5646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8914, f_measure: 0.748, kappa: 0.4281, kb_relative_information_score: 1370.485, 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: 1335.5424, usercpu_time_millis: 1080, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 1020,
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: 1341.5795,
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: 938.0414, usercpu_time_millis: 10, usercpu_time_millis_testing: 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: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_testing: 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: 918.0213,
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: 938.0414,
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: 1288.1375, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
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: 1347.917,
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: 933.1165,
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: 1322.7383,
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: 933.1165,
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: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8082, f_measure: 0.7079, kappa: 0.3462, kb_relative_information_score: 755.152, mean_absolute_error: 0.396, mean_prior_absolute_error: 0.4507, number_of_instances: 6010, precision: 0.809, predictive_accuracy: 0.7542, prior_entropy: 0.9279, recall: 0.7542, relative_absolute_error: 0.8786, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4279, root_relative_squared_error: 0.9016, scimark_benchmark: 1308.3124, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5376, f_measure: 0.5559, kappa: 0.0098, kb_relative_information_score: 21.926, mean_absolute_error: 0.4438, mean_prior_absolute_error: 0.4507, number_of_instances: 6010, precision: 0.5573, predictive_accuracy: 0.6309, prior_entropy: 0.9279, recall: 0.6309, relative_absolute_error: 0.9846, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4926, root_relative_squared_error: 1.0378, scimark_benchmark: 1352.2099, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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: 1355.2525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5813, f_measure: 0.5547, kappa: 0.0266, kb_relative_information_score: 71.2581, mean_absolute_error: 0.4356, mean_prior_absolute_error: 0.4507, number_of_instances: 6010, precision: 0.5816, predictive_accuracy: 0.6489, prior_entropy: 0.9279, recall: 0.6489, relative_absolute_error: 0.9664, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4739, root_relative_squared_error: 0.9985, scimark_benchmark: 1337.3264, usercpu_time_millis: 300, usercpu_time_millis_testing: 300,
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: 1345.3152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9596, kappa: 0.9107, kb_relative_information_score: 5454.7278, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.4507, number_of_instances: 6010, precision: 0.9601, predictive_accuracy: 0.9594, prior_entropy: 0.9279, recall: 0.9594, relative_absolute_error: 0.0868, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1674, root_relative_squared_error: 0.3526, scimark_benchmark: 1350.073, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
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: 916.6405, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4768, f_measure: 0.5213, kb_relative_information_score: -23.0402, mean_absolute_error: 0.4511, 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: 1.0008, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.475, root_relative_squared_error: 1.0009, scimark_benchmark: 1329.8902, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5672, f_measure: 0.5324, kappa: -0.038, kb_relative_information_score: 0.9422, mean_absolute_error: 0.4389, mean_prior_absolute_error: 0.4507, number_of_instances: 6010, precision: 0.5161, predictive_accuracy: 0.6165, prior_entropy: 0.9279, recall: 0.6165, relative_absolute_error: 0.9738, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4743, root_relative_squared_error: 0.9992, scimark_benchmark: 1264.0609, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5824, f_measure: 0.5632, kappa: 0.0421, kb_relative_information_score: 1240.4244, mean_absolute_error: 0.3417, mean_prior_absolute_error: 0.4507, number_of_instances: 6010, precision: 0.5968, predictive_accuracy: 0.6529, prior_entropy: 0.9279, recall: 0.6529, relative_absolute_error: 0.7582, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5541, root_relative_squared_error: 1.1674, scimark_benchmark: 1368.9272, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
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: 1349.1028,
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: 1349.1028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4786, f_measure: 0.5213, kb_relative_information_score: -24.2189, mean_absolute_error: 0.451, 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: 1.0007, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4751, root_relative_squared_error: 1.001, scimark_benchmark: 1324.5988, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4882, f_measure: 0.5213, kb_relative_information_score: -24.8419, mean_absolute_error: 0.451, 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: 1.0006, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.475, root_relative_squared_error: 1.0009, scimark_benchmark: 1264.0609, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5402, f_measure: 0.5026, kappa: -0.0736, kb_relative_information_score: -142.5948, mean_absolute_error: 0.4476, mean_prior_absolute_error: 0.4507, number_of_instances: 6010, precision: 0.423, predictive_accuracy: 0.6191, prior_entropy: 0.9279, recall: 0.6191, 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: 1327.2954, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5402, f_measure: 0.5026, kappa: -0.0736, kb_relative_information_score: -142.5948, mean_absolute_error: 0.4476, mean_prior_absolute_error: 0.4507, number_of_instances: 6010, precision: 0.423, predictive_accuracy: 0.6191, prior_entropy: 0.9279, recall: 0.6191, 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: 1327.3684, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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: 939.5088,
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: 939.5088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5402, f_measure: 0.5026, kappa: -0.0736, kb_relative_information_score: -142.373, mean_absolute_error: 0.4476, mean_prior_absolute_error: 0.4507, number_of_instances: 6010, precision: 0.423, predictive_accuracy: 0.6191, prior_entropy: 0.9279, recall: 0.6191, 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: 1261.7298, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, 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: 1308.3432, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4926, f_measure: 0.5213, kb_relative_information_score: -25.7255, mean_absolute_error: 0.4509, 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: 1.0004, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4751, root_relative_squared_error: 1.0009, scimark_benchmark: 1350.4702, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5652, f_measure: 0.539, kappa: -0.029, kb_relative_information_score: -7.5877, mean_absolute_error: 0.4393, mean_prior_absolute_error: 0.4507, number_of_instances: 6010, precision: 0.5265, predictive_accuracy: 0.6156, prior_entropy: 0.9279, recall: 0.6156, relative_absolute_error: 0.9746, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4756, root_relative_squared_error: 1.0021, scimark_benchmark: 833.3193, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5448, f_measure: 0.5083, kappa: -0.0545, kb_relative_information_score: -129.6316, mean_absolute_error: 0.4473, mean_prior_absolute_error: 0.4507, number_of_instances: 6010, precision: 0.4313, predictive_accuracy: 0.6288, prior_entropy: 0.9279, recall: 0.6288, relative_absolute_error: 0.9923, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4782, root_relative_squared_error: 1.0075, scimark_benchmark: 1304.6687, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5203, f_measure: 0.5148, kappa: -0.0956, kb_relative_information_score: 53.1486, mean_absolute_error: 0.4185, mean_prior_absolute_error: 0.4507, number_of_instances: 6010, precision: 0.4882, predictive_accuracy: 0.5785, prior_entropy: 0.9279, recall: 0.5785, relative_absolute_error: 0.9285, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4806, root_relative_squared_error: 1.0125, scimark_benchmark: 1313.9994, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5203, f_measure: 0.5148, kappa: -0.0956, kb_relative_information_score: 53.1486, mean_absolute_error: 0.4185, mean_prior_absolute_error: 0.4507, number_of_instances: 6010, precision: 0.4882, predictive_accuracy: 0.5785, prior_entropy: 0.9279, recall: 0.5785, relative_absolute_error: 0.9285, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4806, root_relative_squared_error: 1.0125, scimark_benchmark: 939.5205, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5057, f_measure: 0.5661, kappa: 0.0123, kb_relative_information_score: 327.7226, mean_absolute_error: 0.408, mean_prior_absolute_error: 0.4507, number_of_instances: 6010, precision: 0.5555, predictive_accuracy: 0.592, prior_entropy: 0.9279, recall: 0.592, relative_absolute_error: 0.9052, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.6387, root_relative_squared_error: 1.3458, scimark_benchmark: 869.6028, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5417, f_measure: 0.4985, kappa: 0.0693, kb_relative_information_score: -1020.2569, mean_absolute_error: 0.5048, mean_prior_absolute_error: 0.4507, number_of_instances: 6010, precision: 0.5935, predictive_accuracy: 0.4952, prior_entropy: 0.9279, recall: 0.4952, relative_absolute_error: 1.1201, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.7105, root_relative_squared_error: 1.497, scimark_benchmark: 934.4732, usercpu_time_millis: 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: 942.9708, usercpu_time_millis: 320, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 270,
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: 1310.3951, 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: -1105.0193, mean_absolute_error: 0.5, 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: 1.1093, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0534, scimark_benchmark: 1250.8301, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4823, f_measure: 0.51, kappa: -0.0456, kb_relative_information_score: 911.3838, mean_absolute_error: 0.3661, mean_prior_absolute_error: 0.4507, number_of_instances: 6010, precision: 0.4266, predictive_accuracy: 0.6339, prior_entropy: 0.9279, recall: 0.6339, relative_absolute_error: 0.8122, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.605, root_relative_squared_error: 1.2747, scimark_benchmark: 923.6051, usercpu_time_millis: 10, usercpu_time_millis_testing: 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: 916.9356, usercpu_time_millis: 2080, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 2020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7086, f_measure: 0.593, kappa: 0.0978, kb_relative_information_score: 478.1065, mean_absolute_error: 0.4121, mean_prior_absolute_error: 0.4507, number_of_instances: 6010, precision: 0.6374, predictive_accuracy: 0.6674, prior_entropy: 0.9279, recall: 0.6674, relative_absolute_error: 0.9143, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4466, root_relative_squared_error: 0.9409, scimark_benchmark: 1310.3951,
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: 1330.0694, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7469, f_measure: 0.7373, kappa: 0.4192, kb_relative_information_score: 2304.3803, mean_absolute_error: 0.2669, mean_prior_absolute_error: 0.4507, number_of_instances: 6010, precision: 0.7384, predictive_accuracy: 0.7363, prior_entropy: 0.9279, recall: 0.7363, relative_absolute_error: 0.5922, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4882, root_relative_squared_error: 1.0286, scimark_benchmark: 1316.0472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5283, f_measure: 0.5379, kappa: -0.0317, kb_relative_information_score: -97.2223, mean_absolute_error: 0.4456, mean_prior_absolute_error: 0.4507, number_of_instances: 6010, precision: 0.5245, predictive_accuracy: 0.6145, prior_entropy: 0.9279, recall: 0.6145, relative_absolute_error: 0.9887, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4961, root_relative_squared_error: 1.0451, scimark_benchmark: 1361.1055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9672, kappa: 0.9274, kb_relative_information_score: 5580.3201, mean_absolute_error: 0.0301, mean_prior_absolute_error: 0.4507, number_of_instances: 6010, precision: 0.9675, predictive_accuracy: 0.9671, prior_entropy: 0.9279, recall: 0.9671, relative_absolute_error: 0.0668, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1523, root_relative_squared_error: 0.3209, scimark_benchmark: 1324.8395, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7673, f_measure: 0.7825, kappa: 0.523, kb_relative_information_score: 2949.5658, mean_absolute_error: 0.2196, mean_prior_absolute_error: 0.4507, number_of_instances: 6010, precision: 0.7862, predictive_accuracy: 0.7804, prior_entropy: 0.9279, recall: 0.7804, relative_absolute_error: 0.4873, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4687, root_relative_squared_error: 0.9874, scimark_benchmark: 1319.6463, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8874, f_measure: 0.8059, kappa: 0.5668, kb_relative_information_score: 3221.4701, mean_absolute_error: 0.203, mean_prior_absolute_error: 0.4507, number_of_instances: 6010, precision: 0.8052, predictive_accuracy: 0.8072, prior_entropy: 0.9279, recall: 0.8072, relative_absolute_error: 0.4504, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3733, root_relative_squared_error: 0.7866, scimark_benchmark: 1501.4698, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7235, f_measure: 0.7653, kappa: 0.4692, kb_relative_information_score: 2836.0761, mean_absolute_error: 0.2278, mean_prior_absolute_error: 0.4507, number_of_instances: 6010, precision: 0.7663, predictive_accuracy: 0.7722, prior_entropy: 0.9279, recall: 0.7722, relative_absolute_error: 0.5054, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4773, root_relative_squared_error: 1.0056, scimark_benchmark: 1465.2979, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, 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: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6428, f_measure: 0.6738, kappa: 0.2815, kb_relative_information_score: 1434.826, mean_absolute_error: 0.3285, mean_prior_absolute_error: 0.4507, number_of_instances: 6010, precision: 0.6766, predictive_accuracy: 0.6715, prior_entropy: 0.9279, recall: 0.6715, relative_absolute_error: 0.7287, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5731, root_relative_squared_error: 1.2075, scimark_benchmark: 1028.5889,
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: 1466.6185,
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: 1466.6185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, build_cpu_time: 0.4832, build_memory: 452947217.3151, f_measure: 0.9907, kappa: 0.9793, kb_relative_information_score: 5862.9391, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.4507, number_of_instances: 6010, precision: 0.9907, predictive_accuracy: 0.9907, prior_entropy: 0.9279, recall: 0.9907, relative_absolute_error: 0.0239, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.0907, root_relative_squared_error: 0.1911, scimark_benchmark: 945.0342,

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