Task
Supervised Classification on OVA_Omentum

Supervised Classification on OVA_Omentum

Task 3973 Supervised Classification OVA_Omentum 188 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6367, f_measure: 0.9456, kappa: 0.3541, kb_relative_information_score: 421.1289, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9428, predictive_accuracy: 0.9528, prior_entropy: 0.2882, recall: 0.9528, relative_absolute_error: 0.4961, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2174, root_relative_squared_error: 0.9989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7582, f_measure: 0.9259, kb_relative_information_score: -15799.8675, mean_absolute_error: 0.4888, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9028, predictive_accuracy: 0.9502, prior_entropy: 0.2882, recall: 0.9502, relative_absolute_error: 5.1329, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.4889, root_relative_squared_error: 2.2467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.698, f_measure: 0.9333, kappa: 0.345, kb_relative_information_score: -141.8067, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9386, predictive_accuracy: 0.9288, prior_entropy: 0.2882, recall: 0.9288, relative_absolute_error: 0.7476, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2668, root_relative_squared_error: 1.2262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9259, kb_relative_information_score: 360.271, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9028, predictive_accuracy: 0.9502, prior_entropy: 0.2882, recall: 0.9502, relative_absolute_error: 0.5233, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2232, root_relative_squared_error: 1.0259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6369, f_measure: 0.8947, kappa: 0.1676, kb_relative_information_score: -1495.895, mean_absolute_error: 0.1288, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9248, predictive_accuracy: 0.8712, prior_entropy: 0.2882, recall: 0.8712, relative_absolute_error: 1.3525, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.3589, root_relative_squared_error: 1.6492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.9252, kappa: -0.0025, kb_relative_information_score: 329.842, mean_absolute_error: 0.0511, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9027, predictive_accuracy: 0.9489, prior_entropy: 0.2882, recall: 0.9489, relative_absolute_error: 0.5369, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2261, root_relative_squared_error: 1.0391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8365, f_measure: 0.9351, kappa: 0.1839, kb_relative_information_score: -226.9304, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.931, predictive_accuracy: 0.9489, prior_entropy: 0.2882, recall: 0.9489, relative_absolute_error: 0.6909, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.1949, root_relative_squared_error: 0.8956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.849, f_measure: 0.9189, kappa: 0.3935, kb_relative_information_score: -856.4851, mean_absolute_error: 0.1016, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9539, predictive_accuracy: 0.8984, prior_entropy: 0.2882, recall: 0.8984, relative_absolute_error: 1.0665, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.3186, root_relative_squared_error: 1.4642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4858, f_measure: 0.9259, kb_relative_information_score: -22.0297, mean_absolute_error: 0.0953, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9028, predictive_accuracy: 0.9502, prior_entropy: 0.2882, recall: 0.9502, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2176, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7393, f_measure: 0.9507, kappa: 0.4712, kb_relative_information_score: 384.2654, mean_absolute_error: 0.0494, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.95, predictive_accuracy: 0.9515, prior_entropy: 0.2882, recall: 0.9515, relative_absolute_error: 0.5184, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2199, root_relative_squared_error: 1.0106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8522, f_measure: 0.9241, kappa: 0.4155, kb_relative_information_score: -674.3133, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9549, predictive_accuracy: 0.9061, prior_entropy: 0.2882, recall: 0.9061, relative_absolute_error: 0.9855, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.3064, root_relative_squared_error: 1.4078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.836, f_measure: 0.9259, kb_relative_information_score: -567.3243, mean_absolute_error: 0.0761, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9028, predictive_accuracy: 0.9502, prior_entropy: 0.2882, recall: 0.9502, relative_absolute_error: 0.7996, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.1963, root_relative_squared_error: 0.9021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6282, f_measure: 0.9267, kappa: 0.2444, kb_relative_information_score: -233.0936, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9285, predictive_accuracy: 0.9249, prior_entropy: 0.2882, recall: 0.9249, relative_absolute_error: 0.7884, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.274, root_relative_squared_error: 1.2592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4858, f_measure: 0.9259, kb_relative_information_score: -22.0297, mean_absolute_error: 0.0953, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9028, predictive_accuracy: 0.9502, prior_entropy: 0.2882, recall: 0.9502, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2176, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7818, f_measure: 0.9402, kappa: 0.2945, kb_relative_information_score: -126.0273, mean_absolute_error: 0.079, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.936, predictive_accuracy: 0.9476, prior_entropy: 0.2882, recall: 0.9476, relative_absolute_error: 0.8292, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2092, root_relative_squared_error: 0.9613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4858, f_measure: 0.9259, kb_relative_information_score: -22.0297, mean_absolute_error: 0.0953, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9028, predictive_accuracy: 0.9502, prior_entropy: 0.2882, recall: 0.9502, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2176, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5957, f_measure: 0.9366, kappa: 0.2479, kb_relative_information_score: 238.5552, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9316, predictive_accuracy: 0.945, prior_entropy: 0.2882, recall: 0.945, relative_absolute_error: 0.5777, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2346, root_relative_squared_error: 1.0779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.922, f_measure: 0.9483, kappa: 0.4151, kb_relative_information_score: 104.5717, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9458, predictive_accuracy: 0.9521, prior_entropy: 0.2882, recall: 0.9521, relative_absolute_error: 0.5965, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.1933, root_relative_squared_error: 0.8885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8522, f_measure: 0.9241, kappa: 0.4155, kb_relative_information_score: -674.3133, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9549, predictive_accuracy: 0.9061, prior_entropy: 0.2882, recall: 0.9061, relative_absolute_error: 0.9855, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.3064, root_relative_squared_error: 1.4078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4858, f_measure: 0.9259, kb_relative_information_score: -22.0297, mean_absolute_error: 0.0953, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9028, predictive_accuracy: 0.9502, prior_entropy: 0.2882, recall: 0.9502, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2176, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5957, f_measure: 0.9366, kappa: 0.2479, kb_relative_information_score: 238.5552, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9316, predictive_accuracy: 0.945, prior_entropy: 0.2882, recall: 0.945, relative_absolute_error: 0.5777, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2346, root_relative_squared_error: 1.0779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.922, f_measure: 0.9483, kappa: 0.4151, kb_relative_information_score: 104.5717, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9458, predictive_accuracy: 0.9521, prior_entropy: 0.2882, recall: 0.9521, relative_absolute_error: 0.5965, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.1933, root_relative_squared_error: 0.8885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8522, f_measure: 0.9241, kappa: 0.4155, kb_relative_information_score: -674.3133, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9549, predictive_accuracy: 0.9061, prior_entropy: 0.2882, recall: 0.9061, relative_absolute_error: 0.9855, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.3064, root_relative_squared_error: 1.4078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8879, f_measure: 0.9327, kappa: 0.1474, kb_relative_information_score: -122.5041, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9271, predictive_accuracy: 0.9476, prior_entropy: 0.2882, recall: 0.9476, relative_absolute_error: 0.7195, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.1956, root_relative_squared_error: 0.899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9291, f_measure: 0.9256, kappa: -0.0013, kb_relative_information_score: -475.7206, mean_absolute_error: 0.0799, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9028, predictive_accuracy: 0.9495, prior_entropy: 0.2882, recall: 0.9495, relative_absolute_error: 0.8389, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.1907, root_relative_squared_error: 0.8765, scimark_benchmark: 944.8364, usercpu_time_millis: 91620, usercpu_time_millis_testing: 1850, usercpu_time_millis_training: 89770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8522, f_measure: 0.9241, kappa: 0.4155, kb_relative_information_score: -674.3133, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9549, predictive_accuracy: 0.9061, prior_entropy: 0.2882, recall: 0.9061, relative_absolute_error: 0.9855, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.3064, root_relative_squared_error: 1.4078, scimark_benchmark: 1921.4955, usercpu_time_millis: 11280, usercpu_time_millis_testing: 6720, usercpu_time_millis_training: 4560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6596, f_measure: 0.9363, kappa: 0.2017, kb_relative_information_score: 6.9022, mean_absolute_error: 0.0811, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9328, predictive_accuracy: 0.9495, prior_entropy: 0.2882, recall: 0.9495, relative_absolute_error: 0.8516, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2105, root_relative_squared_error: 0.9675, scimark_benchmark: 1664.1268, usercpu_time_millis: 13960, usercpu_time_millis_testing: 970, usercpu_time_millis_training: 12990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9308, f_measure: 0.9249, kappa: -0.0038, kb_relative_information_score: -847.0659, mean_absolute_error: 0.0843, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9027, predictive_accuracy: 0.9482, prior_entropy: 0.2882, recall: 0.9482, relative_absolute_error: 0.8852, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.1876, root_relative_squared_error: 0.8619, usercpu_time_millis: 211.919, usercpu_time_millis_testing: 7.776, usercpu_time_millis_training: 204.143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9254, f_measure: 0.9437, kappa: 0.3053, kb_relative_information_score: -25.9816, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9428, predictive_accuracy: 0.954, prior_entropy: 0.2882, recall: 0.954, relative_absolute_error: 0.6838, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.1852, root_relative_squared_error: 0.8511, usercpu_time_millis: 49.952, usercpu_time_millis_testing: 1.767, usercpu_time_millis_training: 48.185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8695, f_measure: 0.9147, kappa: 0.3912, kb_relative_information_score: -1024.038, mean_absolute_error: 0.1087, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9562, predictive_accuracy: 0.8913, prior_entropy: 0.2882, recall: 0.8913, relative_absolute_error: 1.1415, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.3297, root_relative_squared_error: 1.515, usercpu_time_millis: 892.717, usercpu_time_millis_testing: 626.375, usercpu_time_millis_training: 266.342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5036, f_measure: 0.9259, kb_relative_information_score: -689.4716, mean_absolute_error: 0.0951, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9028, predictive_accuracy: 0.9502, prior_entropy: 0.2882, recall: 0.9502, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2184, root_relative_squared_error: 1.0034, usercpu_time_millis: 44.87, usercpu_time_millis_testing: 2.987, usercpu_time_millis_training: 41.883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8847, f_measure: 0.9435, kappa: 0.4018, kb_relative_information_score: -784.2942, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9433, predictive_accuracy: 0.9437, prior_entropy: 0.2882, recall: 0.9437, relative_absolute_error: 0.7881, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.205, root_relative_squared_error: 0.9419, usercpu_time_millis: 442.374, usercpu_time_millis_testing: 439.579, usercpu_time_millis_training: 2.795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9319, f_measure: 0.9528, kappa: 0.4511, kb_relative_information_score: 103.8161, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9512, predictive_accuracy: 0.9579, prior_entropy: 0.2882, recall: 0.9579, relative_absolute_error: 0.6771, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.1826, root_relative_squared_error: 0.839, usercpu_time_millis: 2348.648, usercpu_time_millis_testing: 108.152, usercpu_time_millis_training: 2240.496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7942, f_measure: 0.9517, kappa: 0.4787, kb_relative_information_score: 300.9804, mean_absolute_error: 0.0537, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9507, predictive_accuracy: 0.9528, prior_entropy: 0.2882, recall: 0.9528, relative_absolute_error: 0.5635, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.1915, root_relative_squared_error: 0.8802, usercpu_time_millis: 301.411, usercpu_time_millis_testing: 82.401, usercpu_time_millis_training: 219.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5066, f_measure: 0.9259, kb_relative_information_score: 16.4038, mean_absolute_error: 0.0932, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9028, predictive_accuracy: 0.9502, prior_entropy: 0.2882, recall: 0.9502, relative_absolute_error: 0.9788, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2176, root_relative_squared_error: 1, scimark_benchmark: 1045.4153, usercpu_time_millis: 1949530, usercpu_time_millis_testing: 471790, usercpu_time_millis_training: 1477740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6784, f_measure: 0.9402, kappa: 0.3584, kb_relative_information_score: 92.2449, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9393, predictive_accuracy: 0.9411, prior_entropy: 0.2882, recall: 0.9411, relative_absolute_error: 0.6963, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2175, root_relative_squared_error: 0.9994, scimark_benchmark: 1104.0724, usercpu_time_millis: 4302480, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 4302440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8809, f_measure: 0.9223, kappa: 0.4247, kb_relative_information_score: -765.6002, mean_absolute_error: 0.0977, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9583, predictive_accuracy: 0.9023, prior_entropy: 0.2882, recall: 0.9023, relative_absolute_error: 1.0263, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.3126, root_relative_squared_error: 1.4366, scimark_benchmark: 1361.6924, usercpu_time_millis: 18020, usercpu_time_millis_testing: 10210, usercpu_time_millis_training: 7810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5138, f_measure: 0.9259, kb_relative_information_score: 16.3407, mean_absolute_error: 0.0932, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9028, predictive_accuracy: 0.9502, prior_entropy: 0.2882, recall: 0.9502, relative_absolute_error: 0.9789, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2176, root_relative_squared_error: 1, scimark_benchmark: 1363.2173, usercpu_time_millis: 1026880, usercpu_time_millis_testing: 231040, usercpu_time_millis_training: 795840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6839, f_measure: 0.9462, kappa: 0.4052, kb_relative_information_score: 329.842, mean_absolute_error: 0.0511, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9442, predictive_accuracy: 0.9489, prior_entropy: 0.2882, recall: 0.9489, relative_absolute_error: 0.5369, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2261, root_relative_squared_error: 1.0391, scimark_benchmark: 1344.6453, usercpu_time_millis: 13240, usercpu_time_millis_testing: 560, usercpu_time_millis_training: 12680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6466, f_measure: 0.9432, kappa: 0.3492, kb_relative_information_score: 314.6275, mean_absolute_error: 0.0518, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9399, predictive_accuracy: 0.9482, prior_entropy: 0.2882, recall: 0.9482, relative_absolute_error: 0.5437, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2276, root_relative_squared_error: 1.0457, scimark_benchmark: 1452.5974, usercpu_time_millis: 22300, usercpu_time_millis_testing: 350, usercpu_time_millis_training: 21950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7815, f_measure: 0.9219, kappa: 0.2421, kb_relative_information_score: -469.7062, mean_absolute_error: 0.0814, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9289, predictive_accuracy: 0.9159, prior_entropy: 0.2882, recall: 0.9159, relative_absolute_error: 0.8548, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2745, root_relative_squared_error: 1.2615, scimark_benchmark: 1214.8265, usercpu_time_millis: 433790, usercpu_time_millis_testing: 470, usercpu_time_millis_training: 433320,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5482, f_measure: 0.9422, kappa: 0.3486, kb_relative_information_score: 226.2888, mean_absolute_error: 0.0581, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9392, predictive_accuracy: 0.9463, prior_entropy: 0.2882, recall: 0.9463, relative_absolute_error: 0.6097, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2297, root_relative_squared_error: 1.0553, scimark_benchmark: 1636.8176, usercpu_time_millis: 2962070, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 2962020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8948, f_measure: 0.9441, kappa: 0.356, kb_relative_information_score: -1095.1133, mean_absolute_error: 0.077, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9409, predictive_accuracy: 0.9495, prior_entropy: 0.2882, recall: 0.9495, relative_absolute_error: 0.8081, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.1919, root_relative_squared_error: 0.882, scimark_benchmark: 1189.8987, usercpu_time_millis: 330120, usercpu_time_millis_testing: 330110, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.855, f_measure: 0.9417, kappa: 0.3512, kb_relative_information_score: -1033.7966, mean_absolute_error: 0.0782, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9391, predictive_accuracy: 0.945, prior_entropy: 0.2882, recall: 0.945, relative_absolute_error: 0.8209, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2046, root_relative_squared_error: 0.9402, scimark_benchmark: 1600.7525, usercpu_time_millis: 206700, usercpu_time_millis_testing: 206700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6839, f_measure: 0.9462, kappa: 0.4052, kb_relative_information_score: 329.842, mean_absolute_error: 0.0511, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9442, predictive_accuracy: 0.9489, prior_entropy: 0.2882, recall: 0.9489, relative_absolute_error: 0.5369, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2261, root_relative_squared_error: 1.0391, scimark_benchmark: 1379.5698, usercpu_time_millis: 8720, usercpu_time_millis_testing: 740, usercpu_time_millis_training: 7980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7687, f_measure: 0.9265, kappa: 0.2698, kb_relative_information_score: -431.4878, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9312, predictive_accuracy: 0.9223, prior_entropy: 0.2882, recall: 0.9223, relative_absolute_error: 0.8282, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2695, root_relative_squared_error: 1.2385, scimark_benchmark: 1065.239, usercpu_time_millis: 560170, usercpu_time_millis_testing: 540, usercpu_time_millis_training: 559630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6466, f_measure: 0.9432, kappa: 0.3492, kb_relative_information_score: 314.6275, mean_absolute_error: 0.0518, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9399, predictive_accuracy: 0.9482, prior_entropy: 0.2882, recall: 0.9482, relative_absolute_error: 0.5437, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2276, root_relative_squared_error: 1.0457, scimark_benchmark: 1183.8913, usercpu_time_millis: 19160, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 18910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7069, f_measure: 0.9442, kappa: 0.4303, kb_relative_information_score: 171.2587, mean_absolute_error: 0.0584, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9463, predictive_accuracy: 0.9424, prior_entropy: 0.2882, recall: 0.9424, relative_absolute_error: 0.6128, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2177, root_relative_squared_error: 1.0002, scimark_benchmark: 932.1776, usercpu_time_millis: 63950, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 63900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8522, f_measure: 0.9241, kappa: 0.4155, kb_relative_information_score: -674.3133, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9549, predictive_accuracy: 0.9061, prior_entropy: 0.2882, recall: 0.9061, relative_absolute_error: 0.9855, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.3064, root_relative_squared_error: 1.4078, scimark_benchmark: 958.7046, usercpu_time_millis: 14410, usercpu_time_millis_testing: 11030, usercpu_time_millis_training: 3380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4858, f_measure: 0.9259, kb_relative_information_score: -22.0297, mean_absolute_error: 0.0953, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9028, predictive_accuracy: 0.9502, prior_entropy: 0.2882, recall: 0.9502, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2176, root_relative_squared_error: 1, scimark_benchmark: 1274.3298, usercpu_time_millis: 25210, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 25160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.698, f_measure: 0.9333, kappa: 0.345, kb_relative_information_score: -146.5711, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9386, predictive_accuracy: 0.9288, prior_entropy: 0.2882, recall: 0.9288, relative_absolute_error: 0.7541, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2666, root_relative_squared_error: 1.2253, scimark_benchmark: 917.1506, usercpu_time_millis: 176790, usercpu_time_millis_testing: 176790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9324, f_measure: 0.9259, kb_relative_information_score: -537.8747, mean_absolute_error: 0.079, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9028, predictive_accuracy: 0.9502, prior_entropy: 0.2882, recall: 0.9502, relative_absolute_error: 0.8298, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.1909, root_relative_squared_error: 0.8773, scimark_benchmark: 976.56, usercpu_time_millis: 4110, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 3990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7818, f_measure: 0.9402, kappa: 0.2945, kb_relative_information_score: -126.0273, mean_absolute_error: 0.079, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.936, predictive_accuracy: 0.9476, prior_entropy: 0.2882, recall: 0.9476, relative_absolute_error: 0.8292, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2092, root_relative_squared_error: 0.9613, scimark_benchmark: 1025.0939, usercpu_time_millis: 6870, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 6840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6698, f_measure: 0.9413, kappa: 0.3819, kb_relative_information_score: 135.1371, mean_absolute_error: 0.0596, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9415, predictive_accuracy: 0.9411, prior_entropy: 0.2882, recall: 0.9411, relative_absolute_error: 0.6263, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2387, root_relative_squared_error: 1.097, scimark_benchmark: 1242.4654, usercpu_time_millis: 15910, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 15870,

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