Task
Supervised Classification on nomao

Supervised Classification on nomao

Task 9977 Supervised Classification nomao 31592 runs submitted
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  • OpenML-CC18 OpenML100 study_123 study_14 study_218 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8566, f_measure: 0.8575, kappa: 0.6533, kb_relative_information_score: 15526.8585, mean_absolute_error: 0.2346, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8587, predictive_accuracy: 0.8566, prior_entropy: 0.863, recall: 0.8566, relative_absolute_error: 0.5748, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3351, root_relative_squared_error: 0.7418, scimark_benchmark: 1842.2127, usercpu_time_millis: 31.192, usercpu_time_millis_testing: 0.631, usercpu_time_millis_training: 30.561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9587, kappa: 0.8984, kb_relative_information_score: 27704.2228, mean_absolute_error: 0.0864, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9587, predictive_accuracy: 0.9589, prior_entropy: 0.863, recall: 0.9589, relative_absolute_error: 0.2116, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1821, root_relative_squared_error: 0.4032, scimark_benchmark: 1837.622, usercpu_time_millis: 100.088, usercpu_time_millis_testing: 2.631, usercpu_time_millis_training: 97.457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: -4.054, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1969.9263, usercpu_time_millis: 68.349, usercpu_time_millis_testing: 6.689, usercpu_time_millis_training: 61.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.9184, kappa: 0.7949, kb_relative_information_score: 24427.6906, mean_absolute_error: 0.1235, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9232, predictive_accuracy: 0.9212, prior_entropy: 0.863, recall: 0.9212, relative_absolute_error: 0.3027, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.234, root_relative_squared_error: 0.5181, scimark_benchmark: 1790.2716, usercpu_time_millis: 83.595, usercpu_time_millis_testing: 1.189, usercpu_time_millis_training: 82.406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9553, f_measure: 0.8817, kappa: 0.7016, kb_relative_information_score: 13189.9686, mean_absolute_error: 0.2714, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8865, predictive_accuracy: 0.8864, prior_entropy: 0.863, recall: 0.8864, relative_absolute_error: 0.665, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3245, root_relative_squared_error: 0.7184, scimark_benchmark: 1851.4233, usercpu_time_millis: 77.975, usercpu_time_millis_testing: 6.561, usercpu_time_millis_training: 71.414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, f_measure: 0.8994, kappa: 0.7485, kb_relative_information_score: 14497.3691, mean_absolute_error: 0.2519, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9009, predictive_accuracy: 0.9019, prior_entropy: 0.863, recall: 0.9019, relative_absolute_error: 0.6173, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3104, root_relative_squared_error: 0.6872, scimark_benchmark: 1849.4321, usercpu_time_millis: 123.194, usercpu_time_millis_testing: 7.609, usercpu_time_millis_training: 115.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9448, kappa: 0.864, kb_relative_information_score: 26504.078, mean_absolute_error: 0.099, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9447, predictive_accuracy: 0.9451, prior_entropy: 0.863, recall: 0.9451, relative_absolute_error: 0.2426, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2044, root_relative_squared_error: 0.4524, scimark_benchmark: 1843.1261, usercpu_time_millis: 106.584, usercpu_time_millis_testing: 1.758, usercpu_time_millis_training: 104.826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.8586, kappa: 0.6529, kb_relative_information_score: 15361.6236, mean_absolute_error: 0.2376, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8584, predictive_accuracy: 0.859, prior_entropy: 0.863, recall: 0.859, relative_absolute_error: 0.5823, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3322, root_relative_squared_error: 0.7354, scimark_benchmark: 1836.2567, usercpu_time_millis: 119.79, usercpu_time_millis_testing: 3.878, usercpu_time_millis_training: 115.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9468, kappa: 0.8693, kb_relative_information_score: 26879.4627, mean_absolute_error: 0.0936, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9468, predictive_accuracy: 0.947, prior_entropy: 0.863, recall: 0.947, relative_absolute_error: 0.2293, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2021, root_relative_squared_error: 0.4474, scimark_benchmark: 1835.2001, usercpu_time_millis: 113.039, usercpu_time_millis_testing: 1.03, usercpu_time_millis_training: 112.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.918, kappa: 0.7934, kb_relative_information_score: 18094.4258, mean_absolute_error: 0.2175, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9241, predictive_accuracy: 0.9211, prior_entropy: 0.863, recall: 0.9211, relative_absolute_error: 0.5329, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2746, root_relative_squared_error: 0.6079, scimark_benchmark: 1839.0605, usercpu_time_millis: 130.657, usercpu_time_millis_testing: 9.146, usercpu_time_millis_training: 121.511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9676, f_measure: 0.9005, kappa: 0.7521, kb_relative_information_score: 15494.0933, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9013, predictive_accuracy: 0.9025, prior_entropy: 0.863, recall: 0.9025, relative_absolute_error: 0.5832, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3026, root_relative_squared_error: 0.6699, scimark_benchmark: 1843.8547, usercpu_time_millis: 132.122, usercpu_time_millis_testing: 9.254, usercpu_time_millis_training: 122.868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9481, f_measure: 0.8677, kappa: 0.6759, kb_relative_information_score: 16100.79, mean_absolute_error: 0.227, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8677, predictive_accuracy: 0.8676, prior_entropy: 0.863, recall: 0.8676, relative_absolute_error: 0.5563, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3084, root_relative_squared_error: 0.6828, scimark_benchmark: 1836.207, usercpu_time_millis: 123.672, usercpu_time_millis_testing: 3.373, usercpu_time_millis_training: 120.299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9294, kappa: 0.8241, kb_relative_information_score: 24177.9214, mean_absolute_error: 0.1308, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9308, predictive_accuracy: 0.9308, prior_entropy: 0.863, recall: 0.9308, relative_absolute_error: 0.3204, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2271, root_relative_squared_error: 0.5027, scimark_benchmark: 1833.8645, usercpu_time_millis: 142.578, usercpu_time_millis_testing: 4.232, usercpu_time_millis_training: 138.346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9323, f_measure: 0.8588, kappa: 0.6529, kb_relative_information_score: 15031.7022, mean_absolute_error: 0.2428, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8584, predictive_accuracy: 0.8592, prior_entropy: 0.863, recall: 0.8592, relative_absolute_error: 0.595, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3284, root_relative_squared_error: 0.7271, scimark_benchmark: 1847.8629, usercpu_time_millis: 212.086, usercpu_time_millis_testing: 8.421, usercpu_time_millis_training: 203.665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.9081, kappa: 0.7718, kb_relative_information_score: 20150.2324, mean_absolute_error: 0.1774, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9084, predictive_accuracy: 0.9095, prior_entropy: 0.863, recall: 0.9095, relative_absolute_error: 0.4348, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2715, root_relative_squared_error: 0.6009, scimark_benchmark: 1791.3298, usercpu_time_millis: 205.315, usercpu_time_millis_testing: 1.326, usercpu_time_millis_training: 203.989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.8642, kappa: 0.6718, kb_relative_information_score: 17354.8171, mean_absolute_error: 0.2052, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8671, predictive_accuracy: 0.8625, prior_entropy: 0.863, recall: 0.8625, relative_absolute_error: 0.5029, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3111, root_relative_squared_error: 0.6886, scimark_benchmark: 1851.3287, usercpu_time_millis: 262.693, usercpu_time_millis_testing: 1.342, usercpu_time_millis_training: 261.351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9542, kappa: 0.8877, kb_relative_information_score: 27929.7948, mean_absolute_error: 0.0809, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9542, predictive_accuracy: 0.9542, prior_entropy: 0.863, recall: 0.9542, relative_absolute_error: 0.1981, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1876, root_relative_squared_error: 0.4153, scimark_benchmark: 1846.295, usercpu_time_millis: 249.045, usercpu_time_millis_testing: 1.371, usercpu_time_millis_training: 247.674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9623, kappa: 0.9074, kb_relative_information_score: 28931.3714, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9623, predictive_accuracy: 0.9624, prior_entropy: 0.863, recall: 0.9624, relative_absolute_error: 0.1696, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1717, root_relative_squared_error: 0.3802, scimark_benchmark: 1850.2875, usercpu_time_millis: 264.99, usercpu_time_millis_testing: 2.301, usercpu_time_millis_training: 262.689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9508, f_measure: 0.8698, kappa: 0.6822, kb_relative_information_score: 17441.6181, mean_absolute_error: 0.2084, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8704, predictive_accuracy: 0.8693, prior_entropy: 0.863, recall: 0.8693, relative_absolute_error: 0.5107, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3026, root_relative_squared_error: 0.6698, scimark_benchmark: 1824.7316, usercpu_time_millis: 261.573, usercpu_time_millis_testing: 5.01, usercpu_time_millis_training: 256.563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.9116, kappa: 0.7802, kb_relative_information_score: 21666.5635, mean_absolute_error: 0.1628, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9121, predictive_accuracy: 0.9131, prior_entropy: 0.863, recall: 0.9131, relative_absolute_error: 0.399, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2539, root_relative_squared_error: 0.5621, scimark_benchmark: 1851.3986, usercpu_time_millis: 289.406, usercpu_time_millis_testing: 4.914, usercpu_time_millis_training: 284.492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9516, kappa: 0.8813, kb_relative_information_score: 27596.1308, mean_absolute_error: 0.085, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9516, predictive_accuracy: 0.9517, prior_entropy: 0.863, recall: 0.9517, relative_absolute_error: 0.2082, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1937, root_relative_squared_error: 0.4289, scimark_benchmark: 1846.8309, usercpu_time_millis: 458.939, usercpu_time_millis_testing: 2.303, usercpu_time_millis_training: 456.636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9513, f_measure: 0.8692, kappa: 0.681, kb_relative_information_score: 17508.4567, mean_absolute_error: 0.207, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.87, predictive_accuracy: 0.8686, prior_entropy: 0.863, recall: 0.8686, relative_absolute_error: 0.5072, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.303, root_relative_squared_error: 0.6707, scimark_benchmark: 1856.5802, usercpu_time_millis: 486.257, usercpu_time_millis_testing: 7.567, usercpu_time_millis_training: 478.69,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9559, kappa: 0.8919, kb_relative_information_score: 28059.3284, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9559, predictive_accuracy: 0.956, prior_entropy: 0.863, recall: 0.956, relative_absolute_error: 0.1955, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.184, root_relative_squared_error: 0.4073, scimark_benchmark: 1842.598, usercpu_time_millis: 447.05, usercpu_time_millis_testing: 3.646, usercpu_time_millis_training: 443.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9264, f_measure: 0.8672, kappa: 0.6776, kb_relative_information_score: 17534.9948, mean_absolute_error: 0.2043, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8689, predictive_accuracy: 0.8661, prior_entropy: 0.863, recall: 0.8661, relative_absolute_error: 0.5007, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3084, root_relative_squared_error: 0.6827, scimark_benchmark: 1849.8294, usercpu_time_millis: 511.604, usercpu_time_millis_testing: 8.553, usercpu_time_millis_training: 503.051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.9195, kappa: 0.798, kb_relative_information_score: 24707.5128, mean_absolute_error: 0.1184, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9234, predictive_accuracy: 0.922, prior_entropy: 0.863, recall: 0.922, relative_absolute_error: 0.2901, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2323, root_relative_squared_error: 0.5143, scimark_benchmark: 1853.3841, usercpu_time_millis: 520.854, usercpu_time_millis_testing: 2.169, usercpu_time_millis_training: 518.685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8613, f_measure: 0.858, kappa: 0.6538, kb_relative_information_score: 15535.6399, mean_absolute_error: 0.2348, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8589, predictive_accuracy: 0.8572, prior_entropy: 0.863, recall: 0.8572, relative_absolute_error: 0.5754, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.334, root_relative_squared_error: 0.7393, scimark_benchmark: 1832.3726, usercpu_time_millis: 250.658, usercpu_time_millis_testing: 5.825, usercpu_time_millis_training: 244.833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9674, f_measure: 0.8985, kappa: 0.7491, kb_relative_information_score: 19962.4066, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8982, predictive_accuracy: 0.8994, prior_entropy: 0.863, recall: 0.8994, relative_absolute_error: 0.4441, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2674, root_relative_squared_error: 0.592, scimark_benchmark: 1855.0232, usercpu_time_millis: 278.187, usercpu_time_millis_testing: 5.551, usercpu_time_millis_training: 272.636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9225, f_measure: 0.8586, kappa: 0.6601, kb_relative_information_score: 17276.5172, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.863, predictive_accuracy: 0.8564, prior_entropy: 0.863, recall: 0.8564, relative_absolute_error: 0.5023, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3138, root_relative_squared_error: 0.6946, scimark_benchmark: 1807.4271, usercpu_time_millis: 260.984, usercpu_time_millis_testing: 1.143, usercpu_time_millis_training: 259.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9523, kappa: 0.8831, kb_relative_information_score: 27505.205, mean_absolute_error: 0.0864, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9523, predictive_accuracy: 0.9524, prior_entropy: 0.863, recall: 0.9524, relative_absolute_error: 0.2116, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1932, root_relative_squared_error: 0.4278, scimark_benchmark: 1843.3605, usercpu_time_millis: 259.967, usercpu_time_millis_testing: 1.874, usercpu_time_millis_training: 258.093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.9231, kappa: 0.8075, kb_relative_information_score: 24653.6957, mean_absolute_error: 0.1214, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9262, predictive_accuracy: 0.9253, prior_entropy: 0.863, recall: 0.9253, relative_absolute_error: 0.2976, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2288, root_relative_squared_error: 0.5064, scimark_benchmark: 1819.851, usercpu_time_millis: 251.418, usercpu_time_millis_testing: 1.786, usercpu_time_millis_training: 249.632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9601, kappa: 0.9021, kb_relative_information_score: 28614.4266, mean_absolute_error: 0.073, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9601, predictive_accuracy: 0.9602, prior_entropy: 0.863, recall: 0.9602, relative_absolute_error: 0.1788, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1774, root_relative_squared_error: 0.3927, scimark_benchmark: 1849.3742, usercpu_time_millis: 366.299, usercpu_time_millis_testing: 2.235, usercpu_time_millis_training: 364.064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9587, kappa: 0.8987, kb_relative_information_score: 28382.7244, mean_absolute_error: 0.0761, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9587, predictive_accuracy: 0.9588, prior_entropy: 0.863, recall: 0.9588, relative_absolute_error: 0.1865, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1791, root_relative_squared_error: 0.3964, scimark_benchmark: 1824.8044, usercpu_time_millis: 255.788, usercpu_time_millis_testing: 3.051, usercpu_time_millis_training: 252.737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.8592, kappa: 0.6591, kb_relative_information_score: 17039.8245, mean_absolute_error: 0.2091, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8616, predictive_accuracy: 0.8577, prior_entropy: 0.863, recall: 0.8577, relative_absolute_error: 0.5125, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3165, root_relative_squared_error: 0.7007, scimark_benchmark: 1825.1623, usercpu_time_millis: 270.655, usercpu_time_millis_testing: 2.222, usercpu_time_millis_training: 268.433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.918, kappa: 0.7939, kb_relative_information_score: 24459.9081, mean_absolute_error: 0.1233, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9227, predictive_accuracy: 0.9208, prior_entropy: 0.863, recall: 0.9208, relative_absolute_error: 0.3021, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2329, root_relative_squared_error: 0.5157, scimark_benchmark: 1845.2509, usercpu_time_millis: 368.528, usercpu_time_millis_testing: 2.184, usercpu_time_millis_training: 366.344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9389, kappa: 0.849, kb_relative_information_score: 26020.9145, mean_absolute_error: 0.1042, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9389, predictive_accuracy: 0.9394, prior_entropy: 0.863, recall: 0.9394, relative_absolute_error: 0.2554, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2117, root_relative_squared_error: 0.4686, scimark_benchmark: 1835.5512, usercpu_time_millis: 443.003, usercpu_time_millis_testing: 3.852, usercpu_time_millis_training: 439.151,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, f_measure: 0.8688, kappa: 0.6809, kb_relative_information_score: 17425.9657, mean_absolute_error: 0.2055, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8701, predictive_accuracy: 0.8679, prior_entropy: 0.863, recall: 0.8679, relative_absolute_error: 0.5036, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3075, root_relative_squared_error: 0.6806, scimark_benchmark: 1852.355, usercpu_time_millis: 1320.642, usercpu_time_millis_testing: 9.235, usercpu_time_millis_training: 1311.407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.9231, kappa: 0.8074, kb_relative_information_score: 24635.3787, mean_absolute_error: 0.1218, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9261, predictive_accuracy: 0.9252, prior_entropy: 0.863, recall: 0.9252, relative_absolute_error: 0.2985, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2286, root_relative_squared_error: 0.5061, scimark_benchmark: 1853.9121, usercpu_time_millis: 1386.051, usercpu_time_millis_testing: 10.847, usercpu_time_millis_training: 1375.204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, f_measure: 0.9146, kappa: 0.7851, kb_relative_information_score: 24296.0326, mean_absolute_error: 0.1232, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.92, predictive_accuracy: 0.9177, prior_entropy: 0.863, recall: 0.9177, relative_absolute_error: 0.3019, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2407, root_relative_squared_error: 0.5328, scimark_benchmark: 1852.5406, usercpu_time_millis: 1676.983, usercpu_time_millis_testing: 6.775, usercpu_time_millis_training: 1670.208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.9327, kappa: 0.8327, kb_relative_information_score: 25213.8047, mean_absolute_error: 0.1129, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9336, predictive_accuracy: 0.9338, prior_entropy: 0.863, recall: 0.9338, relative_absolute_error: 0.2765, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2248, root_relative_squared_error: 0.4977, scimark_benchmark: 1848.7762, usercpu_time_millis: 1736.001, usercpu_time_millis_testing: 9.596, usercpu_time_millis_training: 1726.405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8562, f_measure: 0.8576, kappa: 0.6524, kb_relative_information_score: 15505.8723, mean_absolute_error: 0.235, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8582, predictive_accuracy: 0.857, prior_entropy: 0.863, recall: 0.857, relative_absolute_error: 0.5758, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.7403, scimark_benchmark: 1813.5839, usercpu_time_millis: 14.745, usercpu_time_millis_testing: 0.438, usercpu_time_millis_training: 14.307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -5.3963, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1838.6751, usercpu_time_millis: 29.491, usercpu_time_millis_testing: 4.862, usercpu_time_millis_training: 24.629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9653, kappa: 0.9146, kb_relative_information_score: 29145.5623, mean_absolute_error: 0.0676, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9652, predictive_accuracy: 0.9654, prior_entropy: 0.863, recall: 0.9654, relative_absolute_error: 0.1656, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.165, root_relative_squared_error: 0.3652, scimark_benchmark: 1810.0953, usercpu_time_millis: 49.163, usercpu_time_millis_testing: 1.671, usercpu_time_millis_training: 47.492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9226, f_measure: 0.8655, kappa: 0.6744, kb_relative_information_score: 17366.361, mean_absolute_error: 0.2049, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8678, predictive_accuracy: 0.8641, prior_entropy: 0.863, recall: 0.8641, relative_absolute_error: 0.5021, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3118, root_relative_squared_error: 0.6902, scimark_benchmark: 1853.3841, usercpu_time_millis: 25.543, usercpu_time_millis_testing: 0.53, usercpu_time_millis_training: 25.013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9418, kappa: 0.8557, kb_relative_information_score: 23675.8331, mean_absolute_error: 0.1413, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9425, predictive_accuracy: 0.9426, prior_entropy: 0.863, recall: 0.9426, relative_absolute_error: 0.3463, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2229, root_relative_squared_error: 0.4936, scimark_benchmark: 1852.3877, usercpu_time_millis: 44.835, usercpu_time_millis_testing: 1.727, usercpu_time_millis_training: 43.108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -9.1395, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1855.0232, usercpu_time_millis: 42.389, usercpu_time_millis_testing: 5.4, usercpu_time_millis_training: 36.989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.2452, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1855.4813, usercpu_time_millis: 28.945, usercpu_time_millis_testing: 5.273, usercpu_time_millis_training: 23.672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5954, kb_relative_information_score: -0.5474, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1821.8602, usercpu_time_millis: 47.79, usercpu_time_millis_testing: 6.919, usercpu_time_millis_training: 40.871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -0.1057, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1825.2596, usercpu_time_millis: 79.266, usercpu_time_millis_testing: 7.61, usercpu_time_millis_training: 71.656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9357, kappa: 0.8405, kb_relative_information_score: 22861.6586, mean_absolute_error: 0.1509, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9365, predictive_accuracy: 0.9367, prior_entropy: 0.863, recall: 0.9367, relative_absolute_error: 0.3698, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2323, root_relative_squared_error: 0.5142, scimark_benchmark: 1842.2127, usercpu_time_millis: 22.667, usercpu_time_millis_testing: 0.788, usercpu_time_millis_training: 21.879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5954, kb_relative_information_score: -11.8596, mean_absolute_error: 0.408, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1844.6587, usercpu_time_millis: 12.001, usercpu_time_millis_testing: 0.579, usercpu_time_millis_training: 11.422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9502, f_measure: 0.8757, kappa: 0.6866, kb_relative_information_score: 13238.6727, mean_absolute_error: 0.2699, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.88, predictive_accuracy: 0.8806, prior_entropy: 0.863, recall: 0.8806, relative_absolute_error: 0.6614, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3251, root_relative_squared_error: 0.7196, scimark_benchmark: 1830.6983, usercpu_time_millis: 14.289, usercpu_time_millis_testing: 0.636, usercpu_time_millis_training: 13.653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5954, kb_relative_information_score: 1.5688, mean_absolute_error: 0.408, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1829.1442, usercpu_time_millis: 9.355, usercpu_time_millis_testing: 1.064, usercpu_time_millis_training: 8.291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9602, kappa: 0.9023, kb_relative_information_score: 28679.0424, mean_absolute_error: 0.0723, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9601, predictive_accuracy: 0.9603, prior_entropy: 0.863, recall: 0.9603, relative_absolute_error: 0.1772, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1755, root_relative_squared_error: 0.3885, scimark_benchmark: 1852.4707, usercpu_time_millis: 56.189, usercpu_time_millis_testing: 0.92, usercpu_time_millis_training: 55.269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.9203, kappa: 0.8001, kb_relative_information_score: 24676.3172, mean_absolute_error: 0.1182, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9239, predictive_accuracy: 0.9227, prior_entropy: 0.863, recall: 0.9227, relative_absolute_error: 0.2897, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2333, root_relative_squared_error: 0.5165, scimark_benchmark: 1836.0792, usercpu_time_millis: 53.323, usercpu_time_millis_testing: 0.583, usercpu_time_millis_training: 52.74,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9328, kappa: 0.8333, kb_relative_information_score: 25572.9879, mean_absolute_error: 0.1079, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9331, predictive_accuracy: 0.9336, prior_entropy: 0.863, recall: 0.9336, relative_absolute_error: 0.2644, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2218, root_relative_squared_error: 0.4909, scimark_benchmark: 1852.9259, usercpu_time_millis: 94.763, usercpu_time_millis_testing: 0.508, usercpu_time_millis_training: 94.255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: -1.3283, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1841.1577, usercpu_time_millis: 92.528, usercpu_time_millis_testing: 6.743, usercpu_time_millis_training: 85.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -9.1273, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1849.513, usercpu_time_millis: 38.462, usercpu_time_millis_testing: 2.744, usercpu_time_millis_training: 35.718,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -2.3569, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1853.9121, usercpu_time_millis: 29.38, usercpu_time_millis_testing: 1.815, usercpu_time_millis_training: 27.565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.924, kappa: 0.8117, kb_relative_information_score: 25101.4236, mean_absolute_error: 0.1115, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9242, predictive_accuracy: 0.925, prior_entropy: 0.863, recall: 0.925, relative_absolute_error: 0.2731, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2303, root_relative_squared_error: 0.5098, scimark_benchmark: 1833.1322, usercpu_time_millis: 14.209, usercpu_time_millis_testing: 0.319, usercpu_time_millis_training: 13.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9268, f_measure: 0.8668, kappa: 0.6746, kb_relative_information_score: 17138.244, mean_absolute_error: 0.2111, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8673, predictive_accuracy: 0.8664, prior_entropy: 0.863, recall: 0.8664, relative_absolute_error: 0.5174, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3099, root_relative_squared_error: 0.686, scimark_benchmark: 1851.4743, usercpu_time_millis: 20.596, usercpu_time_millis_testing: 0.603, usercpu_time_millis_training: 19.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -3.7215, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1855.0232, usercpu_time_millis: 32.523, usercpu_time_millis_testing: 3.924, usercpu_time_millis_training: 28.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -0.6504, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1821.3322, usercpu_time_millis: 35.09, usercpu_time_millis_testing: 2.295, usercpu_time_millis_training: 32.795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.9123, kappa: 0.7802, kb_relative_information_score: 21202.7513, mean_absolute_error: 0.1689, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9153, predictive_accuracy: 0.9149, prior_entropy: 0.863, recall: 0.9149, relative_absolute_error: 0.4138, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2534, root_relative_squared_error: 0.561, scimark_benchmark: 1855.4813, usercpu_time_millis: 24.892, usercpu_time_millis_testing: 0.615, usercpu_time_millis_training: 24.277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9706, f_measure: 0.9081, kappa: 0.7719, kb_relative_information_score: 20529.6758, mean_absolute_error: 0.1764, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9082, predictive_accuracy: 0.9094, prior_entropy: 0.863, recall: 0.9094, relative_absolute_error: 0.4322, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2608, root_relative_squared_error: 0.5773, scimark_benchmark: 1838.8902, usercpu_time_millis: 51.404, usercpu_time_millis_testing: 0.839, usercpu_time_millis_training: 50.565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: -3.5582, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1856.0123, usercpu_time_millis: 47.029, usercpu_time_millis_testing: 6.039, usercpu_time_millis_training: 40.99,

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