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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57199 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6675, f_measure: 0.6076, kappa: 0.2154, kb_relative_information_score: 149.7414, mean_absolute_error: 0.478, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6078, predictive_accuracy: 0.6077, prior_entropy: 1, recall: 0.6077, relative_absolute_error: 0.956, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4837, root_relative_squared_error: 0.9675, scimark_benchmark: 1859.1356, usercpu_time_millis: 18.058, usercpu_time_millis_testing: 0.844, usercpu_time_millis_training: 17.214,
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: 1203.2355, usercpu_time_millis: 4.095, usercpu_time_millis_testing: 0.81, usercpu_time_millis_training: 3.285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6694, f_measure: 0.6144, kappa: 0.2292, kb_relative_information_score: 176.5661, mean_absolute_error: 0.4737, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6148, predictive_accuracy: 0.6146, prior_entropy: 1, recall: 0.6146, relative_absolute_error: 0.9474, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4825, root_relative_squared_error: 0.965, scimark_benchmark: 1853.454, usercpu_time_millis: 21.766, usercpu_time_millis_testing: 0.784, usercpu_time_millis_training: 20.982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.715, f_measure: 0.6336, kappa: 0.2677, kb_relative_information_score: 157.986, mean_absolute_error: 0.4771, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6342, predictive_accuracy: 0.6338, prior_entropy: 1, recall: 0.6338, relative_absolute_error: 0.9542, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4802, root_relative_squared_error: 0.9604, scimark_benchmark: 1839.2774, usercpu_time_millis: 17.665, usercpu_time_millis_testing: 0.854, usercpu_time_millis_training: 16.811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6741, f_measure: 0.6128, kappa: 0.2262, kb_relative_information_score: 178.2732, mean_absolute_error: 0.4734, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6134, predictive_accuracy: 0.6131, prior_entropy: 1, recall: 0.6131, relative_absolute_error: 0.9468, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4817, root_relative_squared_error: 0.9634, scimark_benchmark: 1858.6076, usercpu_time_millis: 33.772, usercpu_time_millis_testing: 1.003, usercpu_time_millis_training: 32.769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6728, f_measure: 0.611, kappa: 0.2223, kb_relative_information_score: 185.2034, mean_absolute_error: 0.4723, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6114, predictive_accuracy: 0.6112, prior_entropy: 1, recall: 0.6112, relative_absolute_error: 0.9445, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4813, root_relative_squared_error: 0.9626, scimark_benchmark: 1835.5512, usercpu_time_millis: 15.96, usercpu_time_millis_testing: 0.643, usercpu_time_millis_training: 15.317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7678, f_measure: 0.6775, kappa: 0.3623, kb_relative_information_score: 527.2892, mean_absolute_error: 0.411, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6898, predictive_accuracy: 0.6812, prior_entropy: 1, recall: 0.6812, relative_absolute_error: 0.822, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4441, root_relative_squared_error: 0.8882, scimark_benchmark: 1842.7105, usercpu_time_millis: 31.514, usercpu_time_millis_testing: 0.419, usercpu_time_millis_training: 31.095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8846, f_measure: 0.8184, kappa: 0.6369, kb_relative_information_score: 910.3806, mean_absolute_error: 0.3472, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8192, predictive_accuracy: 0.8185, prior_entropy: 1, recall: 0.8185, relative_absolute_error: 0.6944, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3878, root_relative_squared_error: 0.7755, scimark_benchmark: 1853.9121, usercpu_time_millis: 43.907, usercpu_time_millis_testing: 0.306, usercpu_time_millis_training: 43.601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6441, f_measure: 0.6159, kappa: 0.2323, kb_relative_information_score: 186.6171, mean_absolute_error: 0.4722, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6165, predictive_accuracy: 0.6162, prior_entropy: 1, recall: 0.6162, relative_absolute_error: 0.9444, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.485, root_relative_squared_error: 0.97, scimark_benchmark: 1844.4297, usercpu_time_millis: 24.61, usercpu_time_millis_testing: 0.517, usercpu_time_millis_training: 24.093,
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: 1842.598, usercpu_time_millis: 3.311, usercpu_time_millis_testing: 0.572, usercpu_time_millis_training: 2.739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6693, f_measure: 0.6145, kappa: 0.2292, kb_relative_information_score: 191.7636, mean_absolute_error: 0.4713, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6148, predictive_accuracy: 0.6146, prior_entropy: 1, recall: 0.6146, relative_absolute_error: 0.9425, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4823, root_relative_squared_error: 0.9646, scimark_benchmark: 1859.1356, usercpu_time_millis: 4.196, usercpu_time_millis_testing: 0.386, usercpu_time_millis_training: 3.81,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8119, f_measure: 0.73, kappa: 0.46, kb_relative_information_score: 804.9556, mean_absolute_error: 0.3585, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.73, predictive_accuracy: 0.73, prior_entropy: 1, recall: 0.73, relative_absolute_error: 0.717, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4221, root_relative_squared_error: 0.8443, scimark_benchmark: 1858.6775, usercpu_time_millis: 4.451, usercpu_time_millis_testing: 0.369, usercpu_time_millis_training: 4.082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8369, f_measure: 0.7505, kappa: 0.5031, kb_relative_information_score: 636.5754, mean_absolute_error: 0.396, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7557, predictive_accuracy: 0.7515, prior_entropy: 1, recall: 0.7515, relative_absolute_error: 0.7919, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.423, root_relative_squared_error: 0.846, scimark_benchmark: 1855.1417, usercpu_time_millis: 47.246, usercpu_time_millis_testing: 0.441, usercpu_time_millis_training: 46.805,
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: 1852.9988, usercpu_time_millis: 6.243, usercpu_time_millis_testing: 0.965, usercpu_time_millis_training: 5.278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7371, f_measure: 0.6617, kappa: 0.3262, kb_relative_information_score: 258.5228, mean_absolute_error: 0.4612, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6658, predictive_accuracy: 0.6631, prior_entropy: 1, recall: 0.6631, relative_absolute_error: 0.9223, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4686, root_relative_squared_error: 0.9372, scimark_benchmark: 1852.9988, usercpu_time_millis: 59.215, usercpu_time_millis_testing: 1.489, usercpu_time_millis_training: 57.726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6625, f_measure: 0.6173, kappa: 0.2354, kb_relative_information_score: 189.578, mean_absolute_error: 0.4718, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6182, predictive_accuracy: 0.6177, prior_entropy: 1, recall: 0.6177, relative_absolute_error: 0.9435, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4841, root_relative_squared_error: 0.9682, scimark_benchmark: 1809.6598, usercpu_time_millis: 75.397, usercpu_time_millis_testing: 0.936, usercpu_time_millis_training: 74.461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.681, f_measure: 0.6126, kappa: 0.2254, kb_relative_information_score: 64.5465, mean_absolute_error: 0.491, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6128, predictive_accuracy: 0.6127, prior_entropy: 1, recall: 0.6127, relative_absolute_error: 0.9821, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4917, root_relative_squared_error: 0.9834, scimark_benchmark: 2085.0915, usercpu_time_millis: 22.804, usercpu_time_millis_testing: 2.061, usercpu_time_millis_training: 20.743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7984, f_measure: 0.7284, kappa: 0.46, kb_relative_information_score: 454.1962, mean_absolute_error: 0.4286, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7357, predictive_accuracy: 0.73, prior_entropy: 1, recall: 0.73, relative_absolute_error: 0.8572, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4445, root_relative_squared_error: 0.889, scimark_benchmark: 1860.2646, usercpu_time_millis: 47.183, usercpu_time_millis_testing: 0.851, usercpu_time_millis_training: 46.332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7474, f_measure: 0.6876, kappa: 0.3792, kb_relative_information_score: 357.0301, mean_absolute_error: 0.4445, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6945, predictive_accuracy: 0.6896, prior_entropy: 1, recall: 0.6896, relative_absolute_error: 0.8889, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4588, root_relative_squared_error: 0.9177, scimark_benchmark: 1841.6148, usercpu_time_millis: 80.529, usercpu_time_millis_testing: 1.106, usercpu_time_millis_training: 79.423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8782, f_measure: 0.789, kappa: 0.5792, kb_relative_information_score: 649.086, mean_absolute_error: 0.3966, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.793, predictive_accuracy: 0.7896, prior_entropy: 1, recall: 0.7896, relative_absolute_error: 0.7933, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4155, root_relative_squared_error: 0.8309, scimark_benchmark: 1839.5885, usercpu_time_millis: 111.814, usercpu_time_millis_testing: 1.357, usercpu_time_millis_training: 110.457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9288, f_measure: 0.8611, kappa: 0.7223, kb_relative_information_score: 1198.5441, mean_absolute_error: 0.2941, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8612, predictive_accuracy: 0.8612, prior_entropy: 1, recall: 0.8612, relative_absolute_error: 0.5881, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3441, root_relative_squared_error: 0.6883, scimark_benchmark: 1081.7332, usercpu_time_millis: 154.877, usercpu_time_millis_testing: 0.851, usercpu_time_millis_training: 154.026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8512, f_measure: 0.7747, kappa: 0.55, kb_relative_information_score: 701.3169, mean_absolute_error: 0.3848, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7765, predictive_accuracy: 0.775, prior_entropy: 1, recall: 0.775, relative_absolute_error: 0.7695, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4147, root_relative_squared_error: 0.8295, scimark_benchmark: 1838.1471, usercpu_time_millis: 167.705, usercpu_time_millis_testing: 0.774, usercpu_time_millis_training: 166.931,
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: 1854.4951, usercpu_time_millis: 3.848, usercpu_time_millis_testing: 0.627, usercpu_time_millis_training: 3.221,
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: 1857.2361, usercpu_time_millis: 2.41, usercpu_time_millis_testing: 0.418, usercpu_time_millis_training: 1.992,
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: 1852.4707, usercpu_time_millis: 2.711, usercpu_time_millis_testing: 0.463, usercpu_time_millis_training: 2.248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7433, f_measure: 0.685, kappa: 0.3762, kb_relative_information_score: 415.5911, mean_absolute_error: 0.4335, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6956, predictive_accuracy: 0.6881, prior_entropy: 1, recall: 0.6881, relative_absolute_error: 0.8669, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4565, root_relative_squared_error: 0.913, scimark_benchmark: 1842.2127, usercpu_time_millis: 146.123, usercpu_time_millis_testing: 0.92, usercpu_time_millis_training: 145.203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7983, f_measure: 0.7171, kappa: 0.4362, kb_relative_information_score: 598.8344, mean_absolute_error: 0.399, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7211, predictive_accuracy: 0.7181, prior_entropy: 1, recall: 0.7181, relative_absolute_error: 0.7981, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4343, root_relative_squared_error: 0.8686, scimark_benchmark: 1833.6545, usercpu_time_millis: 193.057, usercpu_time_millis_testing: 0.648, usercpu_time_millis_training: 192.409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8981, f_measure: 0.8319, kappa: 0.6638, kb_relative_information_score: 1015.844, mean_absolute_error: 0.3278, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.832, predictive_accuracy: 0.8319, prior_entropy: 1, recall: 0.8319, relative_absolute_error: 0.6556, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3737, root_relative_squared_error: 0.7473, scimark_benchmark: 1855.4813, usercpu_time_millis: 139.343, usercpu_time_millis_testing: 0.412, usercpu_time_millis_training: 138.931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8128, f_measure: 0.74, kappa: 0.4831, kb_relative_information_score: 550.4281, mean_absolute_error: 0.4112, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7475, predictive_accuracy: 0.7415, prior_entropy: 1, recall: 0.7415, relative_absolute_error: 0.8224, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4343, root_relative_squared_error: 0.8687, scimark_benchmark: 1856.6531, usercpu_time_millis: 171.758, usercpu_time_millis_testing: 1.155, usercpu_time_millis_training: 170.603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7627, f_measure: 0.7041, kappa: 0.4115, kb_relative_information_score: 434.682, mean_absolute_error: 0.4306, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7106, predictive_accuracy: 0.7058, prior_entropy: 1, recall: 0.7058, relative_absolute_error: 0.8611, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4507, root_relative_squared_error: 0.9014, scimark_benchmark: 1851.6014, usercpu_time_millis: 53.116, usercpu_time_millis_testing: 0.614, usercpu_time_millis_training: 52.502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7395, f_measure: 0.6656, kappa: 0.3338, kb_relative_information_score: 293.1752, mean_absolute_error: 0.4553, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6696, predictive_accuracy: 0.6669, prior_entropy: 1, recall: 0.6669, relative_absolute_error: 0.9107, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4652, root_relative_squared_error: 0.9304, scimark_benchmark: 1852.9988, usercpu_time_millis: 60.985, usercpu_time_millis_testing: 0.863, usercpu_time_millis_training: 60.122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7863, f_measure: 0.7268, kappa: 0.4577, kb_relative_information_score: 505.8748, mean_absolute_error: 0.4184, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.736, predictive_accuracy: 0.7288, prior_entropy: 1, recall: 0.7288, relative_absolute_error: 0.8368, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4418, root_relative_squared_error: 0.8836, scimark_benchmark: 1811.5239, usercpu_time_millis: 100.622, usercpu_time_millis_testing: 0.502, usercpu_time_millis_training: 100.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8717, f_measure: 0.7942, kappa: 0.5885, kb_relative_information_score: 885.5072, mean_absolute_error: 0.3491, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7942, predictive_accuracy: 0.7942, prior_entropy: 1, recall: 0.7942, relative_absolute_error: 0.6981, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3952, root_relative_squared_error: 0.7904, scimark_benchmark: 1848.5793, usercpu_time_millis: 82.914, usercpu_time_millis_testing: 0.358, usercpu_time_millis_training: 82.556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7475, f_measure: 0.6984, kappa: 0.4, kb_relative_information_score: 399.1939, mean_absolute_error: 0.437, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7043, predictive_accuracy: 0.7, prior_entropy: 1, recall: 0.7, relative_absolute_error: 0.874, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4564, root_relative_squared_error: 0.9127, scimark_benchmark: 1789.4115, usercpu_time_millis: 114.107, usercpu_time_millis_testing: 1.111, usercpu_time_millis_training: 112.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7337, f_measure: 0.6712, kappa: 0.35, kb_relative_information_score: 413.3386, mean_absolute_error: 0.4337, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6835, predictive_accuracy: 0.675, prior_entropy: 1, recall: 0.675, relative_absolute_error: 0.8673, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4587, root_relative_squared_error: 0.9173, scimark_benchmark: 1812.0819, usercpu_time_millis: 107.632, usercpu_time_millis_testing: 0.659, usercpu_time_millis_training: 106.973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.802, f_measure: 0.7296, kappa: 0.4623, kb_relative_information_score: 462.1956, mean_absolute_error: 0.4273, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7365, predictive_accuracy: 0.7312, prior_entropy: 1, recall: 0.7312, relative_absolute_error: 0.8546, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4435, root_relative_squared_error: 0.8869, scimark_benchmark: 1844.577, usercpu_time_millis: 94.544, usercpu_time_millis_testing: 1.143, usercpu_time_millis_training: 93.401,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8305, f_measure: 0.7492, kappa: 0.5008, kb_relative_information_score: 450.1158, mean_absolute_error: 0.4304, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7553, predictive_accuracy: 0.7504, prior_entropy: 1, recall: 0.7504, relative_absolute_error: 0.8609, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4423, root_relative_squared_error: 0.8846, scimark_benchmark: 1846.2342, usercpu_time_millis: 74.302, usercpu_time_millis_testing: 1.458, usercpu_time_millis_training: 72.844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7246, f_measure: 0.6434, kappa: 0.2892, kb_relative_information_score: 257.3165, mean_absolute_error: 0.4611, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6467, predictive_accuracy: 0.6446, prior_entropy: 1, recall: 0.6446, relative_absolute_error: 0.9223, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4695, root_relative_squared_error: 0.9391, scimark_benchmark: 1835.2295, usercpu_time_millis: 85.464, usercpu_time_millis_testing: 1.239, usercpu_time_millis_training: 84.225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.815, f_measure: 0.7327, kappa: 0.4677, kb_relative_information_score: 575.7748, mean_absolute_error: 0.406, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7379, predictive_accuracy: 0.7338, prior_entropy: 1, recall: 0.7338, relative_absolute_error: 0.8121, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4318, root_relative_squared_error: 0.8637, scimark_benchmark: 1835.7518, usercpu_time_millis: 99.403, usercpu_time_millis_testing: 0.907, usercpu_time_millis_training: 98.496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7309, f_measure: 0.6716, kappa: 0.3508, kb_relative_information_score: 419.8196, mean_absolute_error: 0.4323, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6839, predictive_accuracy: 0.6754, prior_entropy: 1, recall: 0.6754, relative_absolute_error: 0.8647, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4592, root_relative_squared_error: 0.9183, scimark_benchmark: 1840.3875, usercpu_time_millis: 184.999, usercpu_time_millis_testing: 0.911, usercpu_time_millis_training: 184.088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8533, f_measure: 0.7666, kappa: 0.5346, kb_relative_information_score: 596.8231, mean_absolute_error: 0.4048, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7706, predictive_accuracy: 0.7673, prior_entropy: 1, recall: 0.7673, relative_absolute_error: 0.8096, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4242, root_relative_squared_error: 0.8485, scimark_benchmark: 1795.0992, usercpu_time_millis: 7.679, usercpu_time_millis_testing: 0.419, usercpu_time_millis_training: 7.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5613, f_measure: 0.5442, kappa: 0.0885, kb_relative_information_score: 26.4639, mean_absolute_error: 0.4963, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5442, predictive_accuracy: 0.5442, prior_entropy: 1, recall: 0.5442, relative_absolute_error: 0.9926, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4975, root_relative_squared_error: 0.995, scimark_benchmark: 1811.8751, usercpu_time_millis: 4.288, usercpu_time_millis_testing: 0.432, usercpu_time_millis_training: 3.856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6905, f_measure: 0.6169, kappa: 0.2346, kb_relative_information_score: 266.2256, mean_absolute_error: 0.459, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6178, predictive_accuracy: 0.6173, prior_entropy: 1, recall: 0.6173, relative_absolute_error: 0.9181, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4736, root_relative_squared_error: 0.9473, scimark_benchmark: 1806.4716, usercpu_time_millis: 84.836, usercpu_time_millis_testing: 0.944, usercpu_time_millis_training: 83.892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7296, f_measure: 0.6696, kappa: 0.3423, kb_relative_information_score: 334.8163, mean_absolute_error: 0.448, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6745, predictive_accuracy: 0.6712, prior_entropy: 1, recall: 0.6712, relative_absolute_error: 0.8959, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4629, root_relative_squared_error: 0.9258, scimark_benchmark: 1829.6703, usercpu_time_millis: 88.103, usercpu_time_millis_testing: 1.1, usercpu_time_millis_training: 87.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7, f_measure: 0.629, kappa: 0.2585, kb_relative_information_score: 114.0903, mean_absolute_error: 0.4838, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6295, predictive_accuracy: 0.6292, prior_entropy: 1, recall: 0.6292, relative_absolute_error: 0.9675, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4856, root_relative_squared_error: 0.9712, scimark_benchmark: 1836.3814, usercpu_time_millis: 12.525, usercpu_time_millis_testing: 1.005, usercpu_time_millis_training: 11.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6646, f_measure: 0.6094, kappa: 0.22, kb_relative_information_score: 121.3061, mean_absolute_error: 0.4825, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6107, predictive_accuracy: 0.61, prior_entropy: 1, recall: 0.61, relative_absolute_error: 0.9649, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4861, root_relative_squared_error: 0.9722, scimark_benchmark: 1784.1315, usercpu_time_millis: 15.318, usercpu_time_millis_testing: 0.727, usercpu_time_millis_training: 14.591,
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: 1783.4873, usercpu_time_millis: 2.874, usercpu_time_millis_testing: 0.47, usercpu_time_millis_training: 2.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8118, f_measure: 0.7302, kappa: 0.4638, kb_relative_information_score: 579.0496, mean_absolute_error: 0.4058, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.738, predictive_accuracy: 0.7319, prior_entropy: 1, recall: 0.7319, relative_absolute_error: 0.8116, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4322, root_relative_squared_error: 0.8644, scimark_benchmark: 1845.9318, usercpu_time_millis: 93.144, usercpu_time_millis_testing: 0.39, usercpu_time_millis_training: 92.754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7974, f_measure: 0.7171, kappa: 0.4369, kb_relative_information_score: 536.3116, mean_absolute_error: 0.4124, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7227, predictive_accuracy: 0.7185, prior_entropy: 1, recall: 0.7185, relative_absolute_error: 0.8248, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4379, root_relative_squared_error: 0.8758, scimark_benchmark: 1809.7712, usercpu_time_millis: 69.95, usercpu_time_millis_testing: 0.632, usercpu_time_millis_training: 69.318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7308, f_measure: 0.672, kappa: 0.3469, kb_relative_information_score: 347.3664, mean_absolute_error: 0.4459, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6767, predictive_accuracy: 0.6735, prior_entropy: 1, recall: 0.6735, relative_absolute_error: 0.8918, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.462, root_relative_squared_error: 0.924, scimark_benchmark: 1835.324, usercpu_time_millis: 80.817, usercpu_time_millis_testing: 1.005, usercpu_time_millis_training: 79.812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4048, 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: 1853.4073, usercpu_time_millis: 5.49, usercpu_time_millis_testing: 0.867, usercpu_time_millis_training: 4.623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7776, f_measure: 0.7067, kappa: 0.4154, kb_relative_information_score: 261.2601, mean_absolute_error: 0.4613, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7106, predictive_accuracy: 0.7077, prior_entropy: 1, recall: 0.7077, relative_absolute_error: 0.9226, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4665, root_relative_squared_error: 0.933, scimark_benchmark: 1839.2774, usercpu_time_millis: 87.002, usercpu_time_millis_testing: 2.717, usercpu_time_millis_training: 84.285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7765, f_measure: 0.7109, kappa: 0.4246, kb_relative_information_score: 468.2587, mean_absolute_error: 0.425, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7165, predictive_accuracy: 0.7123, prior_entropy: 1, recall: 0.7123, relative_absolute_error: 0.8499, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4463, root_relative_squared_error: 0.8927, scimark_benchmark: 1847.489, usercpu_time_millis: 12.291, usercpu_time_millis_testing: 0.378, usercpu_time_millis_training: 11.913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8602, f_measure: 0.772, kappa: 0.5454, kb_relative_information_score: 683.1616, mean_absolute_error: 0.3887, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7761, predictive_accuracy: 0.7727, prior_entropy: 1, recall: 0.7727, relative_absolute_error: 0.7774, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4146, root_relative_squared_error: 0.8292, scimark_benchmark: 1846.8983, usercpu_time_millis: 10.404, usercpu_time_millis_testing: 0.403, usercpu_time_millis_training: 10.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6546, f_measure: 0.605, kappa: 0.21, kb_relative_information_score: 33.3704, mean_absolute_error: 0.4954, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.605, predictive_accuracy: 0.605, prior_entropy: 1, recall: 0.605, relative_absolute_error: 0.9909, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4957, root_relative_squared_error: 0.9914, scimark_benchmark: 1812.7154, usercpu_time_millis: 5.333, usercpu_time_millis_testing: 0.521, usercpu_time_millis_training: 4.812,
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: 1905.852, usercpu_time_millis: 2.789, usercpu_time_millis_testing: 0.473, usercpu_time_millis_training: 2.316,
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: 1854.2455, usercpu_time_millis: 3.286, usercpu_time_millis_testing: 0.483, usercpu_time_millis_training: 2.803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6634, f_measure: 0.6113, kappa: 0.2238, kb_relative_information_score: 137.6635, mean_absolute_error: 0.4799, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6126, predictive_accuracy: 0.6119, prior_entropy: 1, recall: 0.6119, relative_absolute_error: 0.9599, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.485, root_relative_squared_error: 0.9699, scimark_benchmark: 1843.2337, usercpu_time_millis: 3.318, usercpu_time_millis_testing: 0.366, usercpu_time_millis_training: 2.952,
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: 1824.7965, usercpu_time_millis: 3.374, usercpu_time_millis_testing: 0.561, usercpu_time_millis_training: 2.813,
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: 1852.739, usercpu_time_millis: 4.903, usercpu_time_millis_testing: 0.852, usercpu_time_millis_training: 4.051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8657, f_measure: 0.7697, kappa: 0.5415, kb_relative_information_score: 632.7499, mean_absolute_error: 0.3987, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7759, predictive_accuracy: 0.7708, prior_entropy: 1, recall: 0.7708, relative_absolute_error: 0.7974, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.419, root_relative_squared_error: 0.838, scimark_benchmark: 1844.2336, usercpu_time_millis: 50.062, usercpu_time_millis_testing: 0.541, usercpu_time_millis_training: 49.521,
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: 1857.3355, usercpu_time_millis: 4.289, usercpu_time_millis_testing: 0.781, usercpu_time_millis_training: 3.508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6635, f_measure: 0.6169, kappa: 0.2346, kb_relative_information_score: 187.6222, mean_absolute_error: 0.4721, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6178, predictive_accuracy: 0.6173, prior_entropy: 1, recall: 0.6173, relative_absolute_error: 0.9442, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4841, root_relative_squared_error: 0.9682, scimark_benchmark: 1847.9815, usercpu_time_millis: 42.708, usercpu_time_millis_testing: 0.763, usercpu_time_millis_training: 41.945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6519, f_measure: 0.6142, kappa: 0.2285, kb_relative_information_score: 204.0412, mean_absolute_error: 0.469, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6143, predictive_accuracy: 0.6142, prior_entropy: 1, recall: 0.6142, relative_absolute_error: 0.938, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4826, root_relative_squared_error: 0.9652, scimark_benchmark: 1851.6515, usercpu_time_millis: 2.109, usercpu_time_millis_testing: 0.345, usercpu_time_millis_training: 1.764,
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: 1814.0923, usercpu_time_millis: 4.262, usercpu_time_millis_testing: 0.7, usercpu_time_millis_training: 3.562,
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: 1837.7107, usercpu_time_millis: 2.747, usercpu_time_millis_testing: 0.471, usercpu_time_millis_training: 2.276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.667, f_measure: 0.605, kappa: 0.2108, kb_relative_information_score: 107.3516, mean_absolute_error: 0.4846, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6058, predictive_accuracy: 0.6054, prior_entropy: 1, recall: 0.6054, relative_absolute_error: 0.9692, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4873, root_relative_squared_error: 0.9745, scimark_benchmark: 1848.3961, usercpu_time_millis: 5.67, usercpu_time_millis_testing: 0.487, usercpu_time_millis_training: 5.183,

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