OpenML
Supervised Classification on madelon

Supervised Classification on madelon

Task 9976 Supervised Classification madelon 57199 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_98 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6856, f_measure: 0.6161, kappa: 0.2323, kb_relative_information_score: 117.7844, mean_absolute_error: 0.4831, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6163, predictive_accuracy: 0.6162, prior_entropy: 1, recall: 0.6162, relative_absolute_error: 0.9663, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4855, root_relative_squared_error: 0.9711, scimark_benchmark: 1857.7271, usercpu_time_millis: 5.002, usercpu_time_millis_testing: 0.535, usercpu_time_millis_training: 4.467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1850.0775, usercpu_time_millis: 5.106, usercpu_time_millis_testing: 0.879, usercpu_time_millis_training: 4.227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6656, f_measure: 0.6071, kappa: 0.2154, kb_relative_information_score: 111.2964, mean_absolute_error: 0.484, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6084, predictive_accuracy: 0.6077, prior_entropy: 1, recall: 0.6077, relative_absolute_error: 0.968, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.487, root_relative_squared_error: 0.9739, scimark_benchmark: 1842.4256, usercpu_time_millis: 15.714, usercpu_time_millis_testing: 0.834, usercpu_time_millis_training: 14.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7468, f_measure: 0.6915, kappa: 0.3862, kb_relative_information_score: 376.3868, mean_absolute_error: 0.441, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6971, predictive_accuracy: 0.6931, prior_entropy: 1, recall: 0.6931, relative_absolute_error: 0.882, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4575, root_relative_squared_error: 0.915, scimark_benchmark: 1835.9872, usercpu_time_millis: 32.398, usercpu_time_millis_testing: 0.481, usercpu_time_millis_training: 31.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6781, f_measure: 0.6127, kappa: 0.2254, kb_relative_information_score: 60.4204, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6127, predictive_accuracy: 0.6127, prior_entropy: 1, recall: 0.6127, relative_absolute_error: 0.9832, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4922, root_relative_squared_error: 0.9845, scimark_benchmark: 1847.6772, usercpu_time_millis: 20.288, usercpu_time_millis_testing: 1.828, usercpu_time_millis_training: 18.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1855.5999, usercpu_time_millis: 3.065, usercpu_time_millis_testing: 0.51, usercpu_time_millis_training: 2.555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.796, f_measure: 0.7179, kappa: 0.4385, kb_relative_information_score: 548.376, mean_absolute_error: 0.4098, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7235, predictive_accuracy: 0.7192, prior_entropy: 1, recall: 0.7192, relative_absolute_error: 0.8196, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4372, root_relative_squared_error: 0.8745, scimark_benchmark: 1817.9385, usercpu_time_millis: 109.415, usercpu_time_millis_testing: 0.817, usercpu_time_millis_training: 108.598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1837.345, usercpu_time_millis: 4.291, usercpu_time_millis_testing: 0.787, usercpu_time_millis_training: 3.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7326, f_measure: 0.6726, kappa: 0.3538, kb_relative_information_score: 393.3855, mean_absolute_error: 0.4373, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6867, predictive_accuracy: 0.6769, prior_entropy: 1, recall: 0.6769, relative_absolute_error: 0.8746, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4598, root_relative_squared_error: 0.9195, scimark_benchmark: 1834.2992, usercpu_time_millis: 108.318, usercpu_time_millis_testing: 0.729, usercpu_time_millis_training: 107.589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1839.8608, usercpu_time_millis: 2.414, usercpu_time_millis_testing: 0.407, usercpu_time_millis_training: 2.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.793, f_measure: 0.7201, kappa: 0.4408, kb_relative_information_score: 510.6638, mean_absolute_error: 0.4177, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7213, predictive_accuracy: 0.7204, prior_entropy: 1, recall: 0.7204, relative_absolute_error: 0.8354, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4404, root_relative_squared_error: 0.8808, scimark_benchmark: 1939.8035, usercpu_time_millis: 6.159, usercpu_time_millis_testing: 0.241, usercpu_time_millis_training: 5.918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4505, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1854.4282, usercpu_time_millis: 3.201, usercpu_time_millis_testing: 0.61, usercpu_time_millis_training: 2.591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.685, f_measure: 0.6307, kappa: 0.2615, kb_relative_information_score: 95.5431, mean_absolute_error: 0.4865, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6309, predictive_accuracy: 0.6308, prior_entropy: 1, recall: 0.6308, relative_absolute_error: 0.973, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.488, root_relative_squared_error: 0.976, scimark_benchmark: 1847.8629, usercpu_time_millis: 22.192, usercpu_time_millis_testing: 1.745, usercpu_time_millis_training: 20.447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7904, f_measure: 0.7155, kappa: 0.4331, kb_relative_information_score: 337.0498, mean_absolute_error: 0.449, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7197, predictive_accuracy: 0.7165, prior_entropy: 1, recall: 0.7165, relative_absolute_error: 0.8979, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4574, root_relative_squared_error: 0.9148, scimark_benchmark: 1833.0645, usercpu_time_millis: 31.606, usercpu_time_millis_testing: 1.057, usercpu_time_millis_training: 30.549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1830.9345, usercpu_time_millis: 5.182, usercpu_time_millis_testing: 0.911, usercpu_time_millis_training: 4.271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7175, f_measure: 0.6624, kappa: 0.3269, kb_relative_information_score: 327.7144, mean_absolute_error: 0.449, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6655, predictive_accuracy: 0.6635, prior_entropy: 1, recall: 0.6635, relative_absolute_error: 0.898, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4653, root_relative_squared_error: 0.9306, scimark_benchmark: 1854.955, usercpu_time_millis: 9.965, usercpu_time_millis_testing: 0.41, usercpu_time_millis_training: 9.555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6995, f_measure: 0.6394, kappa: 0.2792, kb_relative_information_score: 119.2944, mean_absolute_error: 0.483, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6399, predictive_accuracy: 0.6396, prior_entropy: 1, recall: 0.6396, relative_absolute_error: 0.9659, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.485, root_relative_squared_error: 0.9699, scimark_benchmark: 1856.5802, usercpu_time_millis: 6.111, usercpu_time_millis_testing: 0.438, usercpu_time_millis_training: 5.673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7377, f_measure: 0.6854, kappa: 0.3746, kb_relative_information_score: 390.1969, mean_absolute_error: 0.4381, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6921, predictive_accuracy: 0.6873, prior_entropy: 1, recall: 0.6873, relative_absolute_error: 0.8762, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4585, root_relative_squared_error: 0.917, scimark_benchmark: 1844.1904, usercpu_time_millis: 15.389, usercpu_time_millis_testing: 0.436, usercpu_time_millis_training: 14.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8908, f_measure: 0.8211, kappa: 0.6423, kb_relative_information_score: 945.3415, mean_absolute_error: 0.3407, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8215, predictive_accuracy: 0.8212, prior_entropy: 1, recall: 0.8212, relative_absolute_error: 0.6813, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.383, root_relative_squared_error: 0.7659, scimark_benchmark: 1811.9439, usercpu_time_millis: 19.489, usercpu_time_millis_testing: 0.392, usercpu_time_millis_training: 19.097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.833, f_measure: 0.7581, kappa: 0.5162, kb_relative_information_score: 765.0075, mean_absolute_error: 0.3705, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7582, predictive_accuracy: 0.7581, prior_entropy: 1, recall: 0.7581, relative_absolute_error: 0.7409, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4146, root_relative_squared_error: 0.8292, scimark_benchmark: 1856.125, usercpu_time_millis: 4.973, usercpu_time_millis_testing: 0.376, usercpu_time_millis_training: 4.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4505, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1844.3569, usercpu_time_millis: 2.067, usercpu_time_millis_testing: 0.375, usercpu_time_millis_training: 1.692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7059, f_measure: 0.626, kappa: 0.2531, kb_relative_information_score: 235.6391, mean_absolute_error: 0.4644, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6273, predictive_accuracy: 0.6265, prior_entropy: 1, recall: 0.6265, relative_absolute_error: 0.9288, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.473, root_relative_squared_error: 0.9461, scimark_benchmark: 1838.7625, usercpu_time_millis: 13.138, usercpu_time_millis_testing: 0.467, usercpu_time_millis_training: 12.671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6956, f_measure: 0.6439, kappa: 0.2885, kb_relative_information_score: 172.0222, mean_absolute_error: 0.4747, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6448, predictive_accuracy: 0.6442, prior_entropy: 1, recall: 0.6442, relative_absolute_error: 0.9494, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4797, root_relative_squared_error: 0.9595, scimark_benchmark: 1849.408, usercpu_time_millis: 6.543, usercpu_time_millis_testing: 0.544, usercpu_time_millis_training: 5.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8446, f_measure: 0.7579, kappa: 0.5177, kb_relative_information_score: 658.9314, mean_absolute_error: 0.3921, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.763, predictive_accuracy: 0.7588, prior_entropy: 1, recall: 0.7588, relative_absolute_error: 0.7842, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4197, root_relative_squared_error: 0.8395, scimark_benchmark: 1823.4197, usercpu_time_millis: 95.268, usercpu_time_millis_testing: 0.555, usercpu_time_millis_training: 94.713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7195, f_measure: 0.6391, kappa: 0.2815, kb_relative_information_score: 269.0412, mean_absolute_error: 0.459, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6434, predictive_accuracy: 0.6408, prior_entropy: 1, recall: 0.6408, relative_absolute_error: 0.918, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4689, root_relative_squared_error: 0.9377, scimark_benchmark: 1828.4698, usercpu_time_millis: 118.48, usercpu_time_millis_testing: 1.401, usercpu_time_millis_training: 117.079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1830.9008, usercpu_time_millis: 2.238, usercpu_time_millis_testing: 0.397, usercpu_time_millis_training: 1.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7788, f_measure: 0.7153, kappa: 0.4308, kb_relative_information_score: 484.6118, mean_absolute_error: 0.4219, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7156, predictive_accuracy: 0.7154, prior_entropy: 1, recall: 0.7154, relative_absolute_error: 0.8439, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4451, root_relative_squared_error: 0.8902, scimark_benchmark: 1853.3841, usercpu_time_millis: 5.828, usercpu_time_millis_testing: 0.407, usercpu_time_millis_training: 5.421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7146, f_measure: 0.6531, kappa: 0.3062, kb_relative_information_score: 264.4964, mean_absolute_error: 0.4594, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6531, predictive_accuracy: 0.6531, prior_entropy: 1, recall: 0.6531, relative_absolute_error: 0.9188, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.47, root_relative_squared_error: 0.94, scimark_benchmark: 1819.3181, usercpu_time_millis: 4.645, usercpu_time_millis_testing: 0.285, usercpu_time_millis_training: 4.36,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7375, f_measure: 0.6724, kappa: 0.3531, kb_relative_information_score: 410.6167, mean_absolute_error: 0.4342, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.686, predictive_accuracy: 0.6765, prior_entropy: 1, recall: 0.6765, relative_absolute_error: 0.8684, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4581, root_relative_squared_error: 0.9161, scimark_benchmark: 1837.7149, usercpu_time_millis: 115.269, usercpu_time_millis_testing: 0.768, usercpu_time_millis_training: 114.501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6602, f_measure: 0.6079, kappa: 0.2162, kb_relative_information_score: 145.2409, mean_absolute_error: 0.4787, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6083, predictive_accuracy: 0.6081, prior_entropy: 1, recall: 0.6081, relative_absolute_error: 0.9574, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4846, root_relative_squared_error: 0.9692, scimark_benchmark: 1856.1929, usercpu_time_millis: 22.144, usercpu_time_millis_testing: 1.039, usercpu_time_millis_training: 21.105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6551, f_measure: 0.614, kappa: 0.2285, kb_relative_information_score: 147.1696, mean_absolute_error: 0.4784, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6145, predictive_accuracy: 0.6142, prior_entropy: 1, recall: 0.6142, relative_absolute_error: 0.9569, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4848, root_relative_squared_error: 0.9696, scimark_benchmark: 1841.9118, usercpu_time_millis: 3.444, usercpu_time_millis_testing: 0.378, usercpu_time_millis_training: 3.066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6717, f_measure: 0.6104, kappa: 0.2208, kb_relative_information_score: 48.126, mean_absolute_error: 0.4934, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6104, predictive_accuracy: 0.6104, prior_entropy: 1, recall: 0.6104, relative_absolute_error: 0.9867, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4938, root_relative_squared_error: 0.9876, scimark_benchmark: 1855.6108, usercpu_time_millis: 11.997, usercpu_time_millis_testing: 1.261, usercpu_time_millis_training: 10.736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.656, f_measure: 0.6147, kappa: 0.23, kb_relative_information_score: 137.3317, mean_absolute_error: 0.48, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6153, predictive_accuracy: 0.615, prior_entropy: 1, recall: 0.615, relative_absolute_error: 0.96, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4853, root_relative_squared_error: 0.9706, scimark_benchmark: 1832.5703, usercpu_time_millis: 26.335, usercpu_time_millis_testing: 0.993, usercpu_time_millis_training: 25.342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6582, f_measure: 0.6083, kappa: 0.2169, kb_relative_information_score: 128.4444, mean_absolute_error: 0.4814, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6087, predictive_accuracy: 0.6085, prior_entropy: 1, recall: 0.6085, relative_absolute_error: 0.9627, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4859, root_relative_squared_error: 0.9717, scimark_benchmark: 1846.7627, usercpu_time_millis: 18.399, usercpu_time_millis_testing: 0.905, usercpu_time_millis_training: 17.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7262, f_measure: 0.6561, kappa: 0.3138, kb_relative_information_score: 288.1722, mean_absolute_error: 0.4558, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6585, predictive_accuracy: 0.6569, prior_entropy: 1, recall: 0.6569, relative_absolute_error: 0.9117, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4667, root_relative_squared_error: 0.9334, scimark_benchmark: 1799.7419, usercpu_time_millis: 26.279, usercpu_time_millis_testing: 0.36, usercpu_time_millis_training: 25.919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8616, f_measure: 0.7779, kappa: 0.5569, kb_relative_information_score: 670.1696, mean_absolute_error: 0.3916, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7815, predictive_accuracy: 0.7785, prior_entropy: 1, recall: 0.7785, relative_absolute_error: 0.7833, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4157, root_relative_squared_error: 0.8313, scimark_benchmark: 1848.2972, usercpu_time_millis: 16.763, usercpu_time_millis_testing: 0.291, usercpu_time_millis_training: 16.472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7901, f_measure: 0.7127, kappa: 0.4285, kb_relative_information_score: 350.3915, mean_absolute_error: 0.4467, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7188, predictive_accuracy: 0.7142, prior_entropy: 1, recall: 0.7142, relative_absolute_error: 0.8934, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4557, root_relative_squared_error: 0.9114, scimark_benchmark: 1833.4422, usercpu_time_millis: 35.365, usercpu_time_millis_testing: 1.214, usercpu_time_millis_training: 34.151,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.657, f_measure: 0.6083, kappa: 0.2169, kb_relative_information_score: 119.1335, mean_absolute_error: 0.4828, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6086, predictive_accuracy: 0.6085, prior_entropy: 1, recall: 0.6085, relative_absolute_error: 0.9656, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4867, root_relative_squared_error: 0.9734, scimark_benchmark: 1856.1949, usercpu_time_millis: 17.775, usercpu_time_millis_testing: 0.947, usercpu_time_millis_training: 16.828,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6806, f_measure: 0.6092, kappa: 0.2185, kb_relative_information_score: 174.2213, mean_absolute_error: 0.4741, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6092, predictive_accuracy: 0.6092, prior_entropy: 1, recall: 0.6092, relative_absolute_error: 0.9483, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4807, root_relative_squared_error: 0.9613, scimark_benchmark: 1848.7304, usercpu_time_millis: 6.502, usercpu_time_millis_testing: 0.473, usercpu_time_millis_training: 6.029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1853.9121, usercpu_time_millis: 3.324, usercpu_time_millis_testing: 0.575, usercpu_time_millis_training: 2.749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4792, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1843.6938, usercpu_time_millis: 2.914, usercpu_time_millis_testing: 0.469, usercpu_time_millis_training: 2.445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7684, f_measure: 0.6993, kappa: 0.4031, kb_relative_information_score: 389.7448, mean_absolute_error: 0.4392, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7077, predictive_accuracy: 0.7015, prior_entropy: 1, recall: 0.7015, relative_absolute_error: 0.8784, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4536, root_relative_squared_error: 0.9072, scimark_benchmark: 1856.6531, usercpu_time_millis: 12.624, usercpu_time_millis_testing: 0.451, usercpu_time_millis_training: 12.173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1825.7178, usercpu_time_millis: 3.74, usercpu_time_millis_testing: 0.665, usercpu_time_millis_training: 3.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1820.7429, usercpu_time_millis: 3.652, usercpu_time_millis_testing: 0.585, usercpu_time_millis_training: 3.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8008, f_measure: 0.719, kappa: 0.4408, kb_relative_information_score: 556.8407, mean_absolute_error: 0.4086, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7247, predictive_accuracy: 0.7204, prior_entropy: 1, recall: 0.7204, relative_absolute_error: 0.8171, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4357, root_relative_squared_error: 0.8713, scimark_benchmark: 1857.5664, usercpu_time_millis: 27.651, usercpu_time_millis_testing: 0.472, usercpu_time_millis_training: 27.179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.825, f_measure: 0.7432, kappa: 0.4877, kb_relative_information_score: 650.1431, mean_absolute_error: 0.3929, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7465, predictive_accuracy: 0.7438, prior_entropy: 1, recall: 0.7438, relative_absolute_error: 0.7858, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4245, root_relative_squared_error: 0.8491, scimark_benchmark: 1853.3841, usercpu_time_millis: 27.694, usercpu_time_millis_testing: 0.422, usercpu_time_millis_training: 27.272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.72, f_measure: 0.646, kappa: 0.2931, kb_relative_information_score: 216.7974, mean_absolute_error: 0.4678, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6474, predictive_accuracy: 0.6465, prior_entropy: 1, recall: 0.6465, relative_absolute_error: 0.9355, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4738, root_relative_squared_error: 0.9475, scimark_benchmark: 1840.6995, usercpu_time_millis: 25.26, usercpu_time_millis_testing: 1.009, usercpu_time_millis_training: 24.251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8975, f_measure: 0.8199, kappa: 0.64, kb_relative_information_score: 833.729, mean_absolute_error: 0.3633, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8207, predictive_accuracy: 0.82, prior_entropy: 1, recall: 0.82, relative_absolute_error: 0.7265, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.392, root_relative_squared_error: 0.7839, scimark_benchmark: 1843.1261, usercpu_time_millis: 27.671, usercpu_time_millis_testing: 0.334, usercpu_time_millis_training: 27.337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0001, scimark_benchmark: 1857.1082, usercpu_time_millis: 1.983, usercpu_time_millis_testing: 0.355, usercpu_time_millis_training: 1.628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9008, f_measure: 0.8284, kappa: 0.6569, kb_relative_information_score: 1199.1704, mean_absolute_error: 0.2886, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8292, predictive_accuracy: 0.8285, prior_entropy: 1, recall: 0.8285, relative_absolute_error: 0.5773, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3596, root_relative_squared_error: 0.7192, scimark_benchmark: 1838.4127, usercpu_time_millis: 11.001, usercpu_time_millis_testing: 0.38, usercpu_time_millis_training: 10.621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1857.0384, usercpu_time_millis: 3.862, usercpu_time_millis_testing: 0.666, usercpu_time_millis_training: 3.196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6854, f_measure: 0.6106, kappa: 0.2215, kb_relative_information_score: 174.8658, mean_absolute_error: 0.4741, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.611, predictive_accuracy: 0.6108, prior_entropy: 1, recall: 0.6108, relative_absolute_error: 0.9482, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4801, root_relative_squared_error: 0.9601, scimark_benchmark: 1835.5512, usercpu_time_millis: 24.165, usercpu_time_millis_testing: 0.86, usercpu_time_millis_training: 23.305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.885, f_measure: 0.8135, kappa: 0.6269, kb_relative_information_score: 1042.8142, mean_absolute_error: 0.3192, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8135, predictive_accuracy: 0.8135, prior_entropy: 1, recall: 0.8135, relative_absolute_error: 0.6383, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3779, root_relative_squared_error: 0.7558, scimark_benchmark: 1855.4813, usercpu_time_millis: 7.361, usercpu_time_millis_testing: 0.372, usercpu_time_millis_training: 6.989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6627, f_measure: 0.6037, kappa: 0.2077, kb_relative_information_score: 93.6816, mean_absolute_error: 0.4867, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.604, predictive_accuracy: 0.6038, prior_entropy: 1, recall: 0.6038, relative_absolute_error: 0.9734, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4888, root_relative_squared_error: 0.9776, scimark_benchmark: 1856.6531, usercpu_time_millis: 4.503, usercpu_time_millis_testing: 0.516, usercpu_time_millis_training: 3.987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8738, f_measure: 0.7941, kappa: 0.5885, kb_relative_information_score: 735.2891, mean_absolute_error: 0.3801, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7951, predictive_accuracy: 0.7942, prior_entropy: 1, recall: 0.7942, relative_absolute_error: 0.7603, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.407, root_relative_squared_error: 0.8141, scimark_benchmark: 1856.1949, usercpu_time_millis: 35.218, usercpu_time_millis_testing: 0.387, usercpu_time_millis_training: 34.831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7657, f_measure: 0.6948, kappa: 0.3923, kb_relative_information_score: 289.4914, mean_absolute_error: 0.4565, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6996, predictive_accuracy: 0.6962, prior_entropy: 1, recall: 0.6962, relative_absolute_error: 0.9129, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4638, root_relative_squared_error: 0.9276, scimark_benchmark: 1854.9533, usercpu_time_millis: 14.46, usercpu_time_millis_testing: 0.488, usercpu_time_millis_training: 13.972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8119, f_measure: 0.7326, kappa: 0.4677, kb_relative_information_score: 595.9378, mean_absolute_error: 0.4024, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7383, predictive_accuracy: 0.7338, prior_entropy: 1, recall: 0.7338, relative_absolute_error: 0.8049, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4309, root_relative_squared_error: 0.8617, scimark_benchmark: 1821.405, usercpu_time_millis: 21.518, usercpu_time_millis_testing: 0.388, usercpu_time_millis_training: 21.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1844.1393, usercpu_time_millis: 3.957, usercpu_time_millis_testing: 0.742, usercpu_time_millis_training: 3.215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7329, f_measure: 0.6634, kappa: 0.3308, kb_relative_information_score: 329.6867, mean_absolute_error: 0.4487, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6693, predictive_accuracy: 0.6654, prior_entropy: 1, recall: 0.6654, relative_absolute_error: 0.8974, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4624, root_relative_squared_error: 0.9249, scimark_benchmark: 1838.7663, usercpu_time_millis: 10.874, usercpu_time_millis_testing: 0.451, usercpu_time_millis_training: 10.423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6858, f_measure: 0.6162, kappa: 0.2323, kb_relative_information_score: 252.8015, mean_absolute_error: 0.4612, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6162, predictive_accuracy: 0.6162, prior_entropy: 1, recall: 0.6162, relative_absolute_error: 0.9224, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4764, root_relative_squared_error: 0.9528, scimark_benchmark: 1729.3292, usercpu_time_millis: 35.375, usercpu_time_millis_testing: 0.554, usercpu_time_millis_training: 34.821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6453, f_measure: 0.6151, kappa: 0.2308, kb_relative_information_score: 180.7348, mean_absolute_error: 0.4731, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6157, predictive_accuracy: 0.6154, prior_entropy: 1, recall: 0.6154, relative_absolute_error: 0.9463, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4843, root_relative_squared_error: 0.9687, scimark_benchmark: 1857.5664, usercpu_time_millis: 11.49, usercpu_time_millis_testing: 0.424, usercpu_time_millis_training: 11.066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8339, f_measure: 0.7491, kappa: 0.5, kb_relative_information_score: 637.7756, mean_absolute_error: 0.3954, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7535, predictive_accuracy: 0.75, prior_entropy: 1, recall: 0.75, relative_absolute_error: 0.7908, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4234, root_relative_squared_error: 0.8468, scimark_benchmark: 1857.0384, usercpu_time_millis: 14.896, usercpu_time_millis_testing: 0.417, usercpu_time_millis_training: 14.479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6966, f_measure: 0.6259, kappa: 0.2523, kb_relative_information_score: 114.759, mean_absolute_error: 0.4836, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6265, predictive_accuracy: 0.6262, prior_entropy: 1, recall: 0.6262, relative_absolute_error: 0.9673, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4855, root_relative_squared_error: 0.9711, scimark_benchmark: 1857.1082, usercpu_time_millis: 13.646, usercpu_time_millis_testing: 0.943, usercpu_time_millis_training: 12.703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6697, f_measure: 0.6159, kappa: 0.2323, kb_relative_information_score: 186.5408, mean_absolute_error: 0.4721, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6164, predictive_accuracy: 0.6162, prior_entropy: 1, recall: 0.6162, relative_absolute_error: 0.9443, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.483, root_relative_squared_error: 0.966, scimark_benchmark: 1831.0407, usercpu_time_millis: 17.498, usercpu_time_millis_testing: 0.566, usercpu_time_millis_training: 16.932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.863, f_measure: 0.7883, kappa: 0.5769, kb_relative_information_score: 717.8657, mean_absolute_error: 0.3826, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7896, predictive_accuracy: 0.7885, prior_entropy: 1, recall: 0.7885, relative_absolute_error: 0.7652, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8209, scimark_benchmark: 1119.5755, usercpu_time_millis: 44.724, usercpu_time_millis_testing: 0.574, usercpu_time_millis_training: 44.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1804.2736, usercpu_time_millis: 2.635, usercpu_time_millis_testing: 0.428, usercpu_time_millis_training: 2.207,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs