Task
Supervised Classification on fri_c3_1000_5

Supervised Classification on fri_c3_1000_5

Task 3678 Supervised Classification fri_c3_1000_5 403 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.8659, kappa: 0.7274, kb_relative_information_score: 659.7313, mean_absolute_error: 0.1771, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.8659, predictive_accuracy: 0.866, prior_entropy: 0.9886, recall: 0.866, relative_absolute_error: 0.3599, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3388, root_relative_squared_error: 0.683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7243, f_measure: 0.6546, kappa: 0.2962, kb_relative_information_score: 207.0384, mean_absolute_error: 0.399, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.6541, predictive_accuracy: 0.656, prior_entropy: 0.9886, recall: 0.656, relative_absolute_error: 0.8109, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.4604, root_relative_squared_error: 0.9283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6716, f_measure: 0.6525, kappa: 0.2918, kb_relative_information_score: 183.7033, mean_absolute_error: 0.4134, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.652, predictive_accuracy: 0.654, prior_entropy: 0.9886, recall: 0.654, relative_absolute_error: 0.8402, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.4662, root_relative_squared_error: 0.9399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9551, f_measure: 0.8984, kappa: 0.7929, kb_relative_information_score: 709.0936, mean_absolute_error: 0.1532, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.9001, predictive_accuracy: 0.899, prior_entropy: 0.9886, recall: 0.899, relative_absolute_error: 0.3114, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.271, root_relative_squared_error: 0.5464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7146, f_measure: 0.6525, kappa: 0.2918, kb_relative_information_score: 200.9848, mean_absolute_error: 0.4012, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.652, predictive_accuracy: 0.654, prior_entropy: 0.9886, recall: 0.654, relative_absolute_error: 0.8154, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.4651, root_relative_squared_error: 0.9377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.8882, kappa: 0.7731, kb_relative_information_score: 742.0083, mean_absolute_error: 0.1302, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.8886, predictive_accuracy: 0.888, prior_entropy: 0.9886, recall: 0.888, relative_absolute_error: 0.2645, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.31, root_relative_squared_error: 0.6249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9537, f_measure: 0.9078, kappa: 0.8123, kb_relative_information_score: 812.2271, mean_absolute_error: 0.0919, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.908, predictive_accuracy: 0.908, prior_entropy: 0.9886, recall: 0.908, relative_absolute_error: 0.1868, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.2916, root_relative_squared_error: 0.5878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6778, f_measure: 0.6581, kappa: 0.303, kb_relative_information_score: 187.4593, mean_absolute_error: 0.4117, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.6577, predictive_accuracy: 0.66, prior_entropy: 0.9886, recall: 0.66, relative_absolute_error: 0.8366, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.4646, root_relative_squared_error: 0.9367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9659, f_measure: 0.899, kappa: 0.7946, kb_relative_information_score: 669.5753, mean_absolute_error: 0.1751, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.8989, predictive_accuracy: 0.899, prior_entropy: 0.9886, recall: 0.899, relative_absolute_error: 0.3559, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.2746, root_relative_squared_error: 0.5537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9588, f_measure: 0.8831, kappa: 0.7627, kb_relative_information_score: 684.8114, mean_absolute_error: 0.1641, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.8833, predictive_accuracy: 0.883, prior_entropy: 0.9886, recall: 0.883, relative_absolute_error: 0.3334, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.2845, root_relative_squared_error: 0.5735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7123, f_measure: 0.6488, kappa: 0.2836, kb_relative_information_score: 176.763, mean_absolute_error: 0.4134, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.649, predictive_accuracy: 0.652, prior_entropy: 0.9886, recall: 0.652, relative_absolute_error: 0.8402, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.464, root_relative_squared_error: 0.9354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6206, f_measure: 0.7127, kappa: 0.4141, kb_relative_information_score: 100.4069, mean_absolute_error: 0.455, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.7134, predictive_accuracy: 0.715, prior_entropy: 0.9886, recall: 0.715, relative_absolute_error: 0.9247, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.4887, root_relative_squared_error: 0.9852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9671, f_measure: 0.9042, kappa: 0.8059, kb_relative_information_score: 714.2149, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.9051, predictive_accuracy: 0.904, prior_entropy: 0.9886, recall: 0.904, relative_absolute_error: 0.3004, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.2679, root_relative_squared_error: 0.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6934, f_measure: 0.6512, kappa: 0.2899, kb_relative_information_score: 294.2084, mean_absolute_error: 0.3441, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.6507, predictive_accuracy: 0.652, prior_entropy: 0.9886, recall: 0.652, relative_absolute_error: 0.6993, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.548, root_relative_squared_error: 1.1048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9597, f_measure: 0.8998, kappa: 0.7961, kb_relative_information_score: 731.0144, mean_absolute_error: 0.1392, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.8999, predictive_accuracy: 0.9, prior_entropy: 0.9886, recall: 0.9, relative_absolute_error: 0.2828, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.2731, root_relative_squared_error: 0.5506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.938, f_measure: 0.8755, kappa: 0.7464, kb_relative_information_score: 474.3411, mean_absolute_error: 0.2837, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.8761, predictive_accuracy: 0.876, prior_entropy: 0.9886, recall: 0.876, relative_absolute_error: 0.5766, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3336, root_relative_squared_error: 0.6725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, f_measure: 0.4056, kb_relative_information_score: -0.0413, mean_absolute_error: 0.4921, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.317, predictive_accuracy: 0.563, prior_entropy: 0.9886, recall: 0.563, relative_absolute_error: 1, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.496, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9583, f_measure: 0.8882, kappa: 0.7731, kb_relative_information_score: 716.4883, mean_absolute_error: 0.1444, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.8886, predictive_accuracy: 0.888, prior_entropy: 0.9886, recall: 0.888, relative_absolute_error: 0.2934, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.2753, root_relative_squared_error: 0.555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8859, f_measure: 0.799, kappa: 0.5914, kb_relative_information_score: 543.7207, mean_absolute_error: 0.2277, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.799, predictive_accuracy: 0.799, prior_entropy: 0.9886, recall: 0.799, relative_absolute_error: 0.4628, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3683, root_relative_squared_error: 0.7426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.897, kappa: 0.7905, kb_relative_information_score: 723.2347, mean_absolute_error: 0.1406, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.8969, predictive_accuracy: 0.897, prior_entropy: 0.9886, recall: 0.897, relative_absolute_error: 0.2856, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.2765, root_relative_squared_error: 0.5575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8855, f_measure: 0.8801, kappa: 0.7566, kb_relative_information_score: 726.1655, mean_absolute_error: 0.1388, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.8803, predictive_accuracy: 0.88, prior_entropy: 0.9886, recall: 0.88, relative_absolute_error: 0.2821, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3298, root_relative_squared_error: 0.665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7163, f_measure: 0.6505, kappa: 0.2877, kb_relative_information_score: 202.1, mean_absolute_error: 0.4007, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.65, predictive_accuracy: 0.652, prior_entropy: 0.9886, recall: 0.652, relative_absolute_error: 0.8144, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.4638, root_relative_squared_error: 0.9351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7102, f_measure: 0.6529, kappa: 0.2922, kb_relative_information_score: 172.7156, mean_absolute_error: 0.417, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.6525, predictive_accuracy: 0.655, prior_entropy: 0.9886, recall: 0.655, relative_absolute_error: 0.8475, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.4669, root_relative_squared_error: 0.9412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7163, f_measure: 0.6505, kappa: 0.2877, kb_relative_information_score: 202.1, mean_absolute_error: 0.4007, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.65, predictive_accuracy: 0.652, prior_entropy: 0.9886, recall: 0.652, relative_absolute_error: 0.8144, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.4638, root_relative_squared_error: 0.9351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6396, f_measure: 0.6474, kappa: 0.2813, kb_relative_information_score: 281.6675, mean_absolute_error: 0.351, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.6469, predictive_accuracy: 0.649, prior_entropy: 0.9886, recall: 0.649, relative_absolute_error: 0.7133, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.5925, root_relative_squared_error: 1.1944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7158, f_measure: 0.7221, kappa: 0.434, kb_relative_information_score: 433.101, mean_absolute_error: 0.277, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.7219, predictive_accuracy: 0.723, prior_entropy: 0.9886, recall: 0.723, relative_absolute_error: 0.5629, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.5263, root_relative_squared_error: 1.0611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9252, f_measure: 0.8286, kappa: 0.6511, kb_relative_information_score: 589.4631, mean_absolute_error: 0.2108, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.8286, predictive_accuracy: 0.829, prior_entropy: 0.9886, recall: 0.829, relative_absolute_error: 0.4285, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3326, root_relative_squared_error: 0.6706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6428, f_measure: 0.6505, kappa: 0.2877, kb_relative_information_score: 287.8067, mean_absolute_error: 0.348, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.65, predictive_accuracy: 0.652, prior_entropy: 0.9886, recall: 0.652, relative_absolute_error: 0.7072, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.5899, root_relative_squared_error: 1.1893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7222, f_measure: 0.6525, kappa: 0.2918, kb_relative_information_score: 204.9771, mean_absolute_error: 0.3998, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.652, predictive_accuracy: 0.654, prior_entropy: 0.9886, recall: 0.654, relative_absolute_error: 0.8124, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.4613, root_relative_squared_error: 0.9299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8855, f_measure: 0.8801, kappa: 0.7566, kb_relative_information_score: 726.1655, mean_absolute_error: 0.1388, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.8803, predictive_accuracy: 0.88, prior_entropy: 0.9886, recall: 0.88, relative_absolute_error: 0.2821, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3298, root_relative_squared_error: 0.665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.9139, kappa: 0.8249, kb_relative_information_score: 734.2603, mean_absolute_error: 0.1399, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.9139, predictive_accuracy: 0.914, prior_entropy: 0.9886, recall: 0.914, relative_absolute_error: 0.2842, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.2553, root_relative_squared_error: 0.5148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7163, f_measure: 0.6505, kappa: 0.2877, kb_relative_information_score: 202.1, mean_absolute_error: 0.4007, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.65, predictive_accuracy: 0.652, prior_entropy: 0.9886, recall: 0.652, relative_absolute_error: 0.8144, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.4638, root_relative_squared_error: 0.9351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.899, kappa: 0.7949, kb_relative_information_score: 739.232, mean_absolute_error: 0.1353, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.8991, predictive_accuracy: 0.899, prior_entropy: 0.9886, recall: 0.899, relative_absolute_error: 0.275, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.2589, root_relative_squared_error: 0.5219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9611, f_measure: 0.9021, kappa: 0.8011, kb_relative_information_score: 700.6257, mean_absolute_error: 0.1576, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.9022, predictive_accuracy: 0.902, prior_entropy: 0.9886, recall: 0.902, relative_absolute_error: 0.3203, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.2723, root_relative_squared_error: 0.5489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8817, f_measure: 0.8848, kappa: 0.7656, kb_relative_information_score: 764.6177, mean_absolute_error: 0.115, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.8849, predictive_accuracy: 0.885, prior_entropy: 0.9886, recall: 0.885, relative_absolute_error: 0.2337, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3391, root_relative_squared_error: 0.6837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4341, f_measure: 0.4438, kappa: -0.1323, kb_relative_information_score: -135.798, mean_absolute_error: 0.555, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.4428, predictive_accuracy: 0.445, prior_entropy: 0.9886, recall: 0.445, relative_absolute_error: 1.1279, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.745, root_relative_squared_error: 1.5019, scimark_benchmark: 1959.6455, usercpu_time_millis: 156.25, usercpu_time_millis_testing: 78.125, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7042, f_measure: 0.715, kappa: 0.4295, kb_relative_information_score: 453.565, mean_absolute_error: 0.267, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.7615, predictive_accuracy: 0.733, prior_entropy: 0.9886, recall: 0.733, relative_absolute_error: 0.5426, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.5167, root_relative_squared_error: 1.0417, scimark_benchmark: 1631.1992, usercpu_time_millis: 78.125, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8943, f_measure: 0.896, kappa: 0.7886, kb_relative_information_score: 787.1281, mean_absolute_error: 0.104, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.896, predictive_accuracy: 0.896, prior_entropy: 0.9886, recall: 0.896, relative_absolute_error: 0.2113, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3225, root_relative_squared_error: 0.6502, scimark_benchmark: 1862.8608, usercpu_time_millis: 78.125, usercpu_time_millis_testing: 46.875, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4341, f_measure: 0.4438, kappa: -0.1323, kb_relative_information_score: -135.798, mean_absolute_error: 0.555, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.4428, predictive_accuracy: 0.445, prior_entropy: 0.9886, recall: 0.445, relative_absolute_error: 1.1279, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.745, root_relative_squared_error: 1.5019, scimark_benchmark: 1621.6576, usercpu_time_millis: 200, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8943, f_measure: 0.896, kappa: 0.7886, kb_relative_information_score: 787.1281, mean_absolute_error: 0.104, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.896, predictive_accuracy: 0.896, prior_entropy: 0.9886, recall: 0.896, relative_absolute_error: 0.2113, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3225, root_relative_squared_error: 0.6502, scimark_benchmark: 1597.7611, usercpu_time_millis: 150, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7042, f_measure: 0.715, kappa: 0.4295, kb_relative_information_score: 453.565, mean_absolute_error: 0.267, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.7615, predictive_accuracy: 0.733, prior_entropy: 0.9886, recall: 0.733, relative_absolute_error: 0.5426, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.5167, root_relative_squared_error: 1.0417, scimark_benchmark: 1277.0103, usercpu_time_millis: 130, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7003, f_measure: 0.6433, kappa: 0.2871, kb_relative_information_score: 157.7207, mean_absolute_error: 0.4205, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.6529, predictive_accuracy: 0.642, prior_entropy: 0.9886, recall: 0.642, relative_absolute_error: 0.8546, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.4642, root_relative_squared_error: 0.9358, scimark_benchmark: 1908.2191, usercpu_time_millis: 2468.75, usercpu_time_millis_training: 2468.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7192, f_measure: 0.6568, kappa: 0.2998, kb_relative_information_score: 177.4132, mean_absolute_error: 0.4129, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.659, predictive_accuracy: 0.662, prior_entropy: 0.9886, recall: 0.662, relative_absolute_error: 0.8391, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.4604, root_relative_squared_error: 0.9282, scimark_benchmark: 1908.2191, usercpu_time_millis: 2281.25, usercpu_time_millis_training: 2281.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6415, f_measure: 0.6488, kappa: 0.2847, kb_relative_information_score: 283.7139, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.6483, predictive_accuracy: 0.65, prior_entropy: 0.9886, recall: 0.65, relative_absolute_error: 0.7113, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.1927, scimark_benchmark: 1827.4462, usercpu_time_millis: 78.125, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 46.875,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.9099, kappa: 0.8167, kb_relative_information_score: 732.6868, mean_absolute_error: 0.1402, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.9099, predictive_accuracy: 0.91, prior_entropy: 0.9886, recall: 0.91, relative_absolute_error: 0.2849, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.2559, root_relative_squared_error: 0.516, scimark_benchmark: 1744.8652, usercpu_time_millis: 171.875, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 140.625,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6341, f_measure: 0.644, kappa: 0.2738, kb_relative_information_score: 283.7139, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.6465, predictive_accuracy: 0.65, prior_entropy: 0.9886, recall: 0.65, relative_absolute_error: 0.7113, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.1927, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7156, f_measure: 0.648, kappa: 0.2825, kb_relative_information_score: 165.7151, mean_absolute_error: 0.419, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.6476, predictive_accuracy: 0.65, prior_entropy: 0.9886, recall: 0.65, relative_absolute_error: 0.8514, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.4599, root_relative_squared_error: 0.9273, scimark_benchmark: 1098.4121, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.8659, kappa: 0.7274, kb_relative_information_score: 659.7313, mean_absolute_error: 0.1771, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.8659, predictive_accuracy: 0.866, prior_entropy: 0.9886, recall: 0.866, relative_absolute_error: 0.3599, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3388, root_relative_squared_error: 0.683, scimark_benchmark: 955.7163, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9646, f_measure: 0.8931, kappa: 0.7832, kb_relative_information_score: 701.0979, mean_absolute_error: 0.1549, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.8935, predictive_accuracy: 0.893, prior_entropy: 0.9886, recall: 0.893, relative_absolute_error: 0.3147, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.272, root_relative_squared_error: 0.5484, scimark_benchmark: 1447.2612, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9156, f_measure: 0.8765, kappa: 0.7521, kb_relative_information_score: 727.3972, mean_absolute_error: 0.1334, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.8842, predictive_accuracy: 0.876, prior_entropy: 0.9886, recall: 0.876, relative_absolute_error: 0.2711, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3153, root_relative_squared_error: 0.6357, scimark_benchmark: 1840.6094, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9309, f_measure: 0.8795, kappa: 0.7589, kb_relative_information_score: 746.6714, mean_absolute_error: 0.1239, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.8903, predictive_accuracy: 0.879, prior_entropy: 0.9886, recall: 0.879, relative_absolute_error: 0.2518, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.2953, root_relative_squared_error: 0.5953, scimark_benchmark: 1840.6094, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9692, f_measure: 0.8943, kappa: 0.7864, kb_relative_information_score: 698.7656, mean_absolute_error: 0.1569, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.8967, predictive_accuracy: 0.894, prior_entropy: 0.9886, recall: 0.894, relative_absolute_error: 0.3188, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.2667, root_relative_squared_error: 0.5376, scimark_benchmark: 1873.1108, usercpu_time_millis: 62.5, usercpu_time_millis_testing: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.897, kappa: 0.7905, kb_relative_information_score: 723.2347, mean_absolute_error: 0.1406, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.8969, predictive_accuracy: 0.897, prior_entropy: 0.9886, recall: 0.897, relative_absolute_error: 0.2856, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.2765, root_relative_squared_error: 0.5575, scimark_benchmark: 1873.1108, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9583, f_measure: 0.8882, kappa: 0.7731, kb_relative_information_score: 716.4883, mean_absolute_error: 0.1444, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.8886, predictive_accuracy: 0.888, prior_entropy: 0.9886, recall: 0.888, relative_absolute_error: 0.2934, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.2753, root_relative_squared_error: 0.555, scimark_benchmark: 1873.1108, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9093, f_measure: 0.9119, kappa: 0.8207, kb_relative_information_score: 819.8705, mean_absolute_error: 0.088, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.9119, predictive_accuracy: 0.912, prior_entropy: 0.9886, recall: 0.912, relative_absolute_error: 0.1788, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.2966, root_relative_squared_error: 0.5981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6382, f_measure: 0.648, kappa: 0.2821, kb_relative_information_score: 291.8995, mean_absolute_error: 0.346, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.6507, predictive_accuracy: 0.654, prior_entropy: 0.9886, recall: 0.654, relative_absolute_error: 0.7031, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.5882, root_relative_squared_error: 1.1859, scimark_benchmark: 1779.392, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6341, f_measure: 0.644, kappa: 0.2738, kb_relative_information_score: 283.7139, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.6465, predictive_accuracy: 0.65, prior_entropy: 0.9886, recall: 0.65, relative_absolute_error: 0.7113, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.1927, scimark_benchmark: 1779.392, usercpu_time_millis: 31.2002, usercpu_time_millis_training: 31.2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8995, f_measure: 0.8488, kappa: 0.6924, kb_relative_information_score: 617.1874, mean_absolute_error: 0.1981, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.8488, predictive_accuracy: 0.849, prior_entropy: 0.9886, recall: 0.849, relative_absolute_error: 0.4026, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3491, root_relative_squared_error: 0.7038, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8907, f_measure: 0.8605, kappa: 0.7157, kb_relative_information_score: 629.9314, mean_absolute_error: 0.1938, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.861, predictive_accuracy: 0.861, prior_entropy: 0.9886, recall: 0.861, relative_absolute_error: 0.3938, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3413, root_relative_squared_error: 0.6881, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7124, f_measure: 0.6479, kappa: 0.2817, kb_relative_information_score: 176.833, mean_absolute_error: 0.4134, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.648, predictive_accuracy: 0.651, prior_entropy: 0.9886, recall: 0.651, relative_absolute_error: 0.8401, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.4639, root_relative_squared_error: 0.9353, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7146, f_measure: 0.6525, kappa: 0.2918, kb_relative_information_score: 200.9848, mean_absolute_error: 0.4012, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.652, predictive_accuracy: 0.654, prior_entropy: 0.9886, recall: 0.654, relative_absolute_error: 0.8154, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.4651, root_relative_squared_error: 0.9377, scimark_benchmark: 1732.2066, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8347, f_measure: 0.8403, kappa: 0.6745, kb_relative_information_score: 674.5761, mean_absolute_error: 0.159, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.841, predictive_accuracy: 0.841, prior_entropy: 0.9886, recall: 0.841, relative_absolute_error: 0.3231, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.8039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9361, f_measure: 0.937, kappa: 0.872, kb_relative_information_score: 871.0305, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.937, predictive_accuracy: 0.937, prior_entropy: 0.9886, recall: 0.937, relative_absolute_error: 0.128, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.251, root_relative_squared_error: 0.506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4056, kb_relative_information_score: 105.6771, mean_absolute_error: 0.437, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.317, predictive_accuracy: 0.563, prior_entropy: 0.9886, recall: 0.563, relative_absolute_error: 0.8881, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.6611, root_relative_squared_error: 1.3327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8759, f_measure: 0.8611, kappa: 0.7177, kb_relative_information_score: 667.5097, mean_absolute_error: 0.1698, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.8611, predictive_accuracy: 0.861, prior_entropy: 0.9886, recall: 0.861, relative_absolute_error: 0.3451, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3493, root_relative_squared_error: 0.7043, scimark_benchmark: 1838.8826,

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