OpenML
Supervised Classification on madelon

Supervised Classification on madelon

Task 9976 Supervised Classification madelon 54817 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: 0.5, 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: 1815.4889, usercpu_time_millis: 6.061, usercpu_time_millis_testing: 0.944, usercpu_time_millis_training: 5.117,
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: 1851.3986, usercpu_time_millis: 3.416, usercpu_time_millis_testing: 0.601, usercpu_time_millis_training: 2.815,
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: 1838.6414, usercpu_time_millis: 4.572, usercpu_time_millis_testing: 0.735, usercpu_time_millis_training: 3.837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6909, f_measure: 0.6315, kappa: 0.2631, kb_relative_information_score: 353.9046, mean_absolute_error: 0.4417, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6316, predictive_accuracy: 0.6315, prior_entropy: 1, recall: 0.6315, relative_absolute_error: 0.8834, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4712, root_relative_squared_error: 0.9423, scimark_benchmark: 1857.5664, usercpu_time_millis: 3.101, usercpu_time_millis_testing: 0.387, usercpu_time_millis_training: 2.714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7864, f_measure: 0.7133, kappa: 0.4308, kb_relative_information_score: 531.3175, mean_absolute_error: 0.4125, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7219, predictive_accuracy: 0.7154, prior_entropy: 1, recall: 0.7154, relative_absolute_error: 0.8249, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4402, root_relative_squared_error: 0.8803, scimark_benchmark: 1850.4554, usercpu_time_millis: 36.284, usercpu_time_millis_testing: 0.466, usercpu_time_millis_training: 35.818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.693, f_measure: 0.6165, kappa: 0.2331, kb_relative_information_score: 107.0389, mean_absolute_error: 0.4848, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6165, predictive_accuracy: 0.6165, prior_entropy: 1, recall: 0.6165, relative_absolute_error: 0.9696, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4865, root_relative_squared_error: 0.9731, scimark_benchmark: 1810.8374, usercpu_time_millis: 14.038, usercpu_time_millis_testing: 1.019, usercpu_time_millis_training: 13.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7364, f_measure: 0.6725, kappa: 0.3531, kb_relative_information_score: 414.6329, mean_absolute_error: 0.4335, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6856, predictive_accuracy: 0.6765, prior_entropy: 1, recall: 0.6765, relative_absolute_error: 0.8669, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4583, root_relative_squared_error: 0.9165, scimark_benchmark: 1861.2508, usercpu_time_millis: 24.153, usercpu_time_millis_testing: 0.432, usercpu_time_millis_training: 23.721,
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: 1857.1082, usercpu_time_millis: 6.215, usercpu_time_millis_testing: 0.968, usercpu_time_millis_training: 5.247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6642, f_measure: 0.6002, kappa: 0.2008, kb_relative_information_score: 97.1881, mean_absolute_error: 0.4862, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6006, predictive_accuracy: 0.6004, prior_entropy: 1, recall: 0.6004, relative_absolute_error: 0.9723, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4884, root_relative_squared_error: 0.9767, scimark_benchmark: 1849.9303, usercpu_time_millis: 4.532, usercpu_time_millis_testing: 0.506, usercpu_time_millis_training: 4.026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8856, f_measure: 0.7996, kappa: 0.6, kb_relative_information_score: 700.6859, mean_absolute_error: 0.3875, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8025, predictive_accuracy: 0.8, prior_entropy: 1, recall: 0.8, relative_absolute_error: 0.7749, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4087, root_relative_squared_error: 0.8173, scimark_benchmark: 1857.5664, usercpu_time_millis: 42.735, usercpu_time_millis_testing: 0.605, usercpu_time_millis_training: 42.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7468, f_measure: 0.6703, kappa: 0.3431, kb_relative_information_score: 276.0664, mean_absolute_error: 0.4583, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6741, predictive_accuracy: 0.6715, prior_entropy: 1, recall: 0.6715, relative_absolute_error: 0.9167, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4661, root_relative_squared_error: 0.9322, scimark_benchmark: 1852.9988, usercpu_time_millis: 30.139, usercpu_time_millis_testing: 1.004, usercpu_time_millis_training: 29.135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7489, f_measure: 0.6913, kappa: 0.3854, kb_relative_information_score: 393.3736, mean_absolute_error: 0.4379, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6963, predictive_accuracy: 0.6927, prior_entropy: 1, recall: 0.6927, relative_absolute_error: 0.8759, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.456, root_relative_squared_error: 0.912, scimark_benchmark: 1851.827, usercpu_time_millis: 42.044, usercpu_time_millis_testing: 0.565, usercpu_time_millis_training: 41.479,
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: 1851.8567, usercpu_time_millis: 3.282, usercpu_time_millis_testing: 0.54, usercpu_time_millis_training: 2.742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6461, f_measure: 0.6156, kappa: 0.2315, kb_relative_information_score: 185.9966, mean_absolute_error: 0.4723, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.616, predictive_accuracy: 0.6158, prior_entropy: 1, recall: 0.6158, relative_absolute_error: 0.9445, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4841, root_relative_squared_error: 0.9682, scimark_benchmark: 1849.3468, usercpu_time_millis: 62.999, usercpu_time_millis_testing: 0.856, usercpu_time_millis_training: 62.143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8787, f_measure: 0.786, kappa: 0.5731, kb_relative_information_score: 692.6776, mean_absolute_error: 0.3885, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7894, predictive_accuracy: 0.7865, prior_entropy: 1, recall: 0.7865, relative_absolute_error: 0.777, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4105, root_relative_squared_error: 0.821, scimark_benchmark: 1849.408, usercpu_time_millis: 45.65, usercpu_time_millis_testing: 0.556, usercpu_time_millis_training: 45.094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7358, f_measure: 0.6863, kappa: 0.3777, kb_relative_information_score: 387.9498, mean_absolute_error: 0.4385, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6952, predictive_accuracy: 0.6888, prior_entropy: 1, recall: 0.6888, relative_absolute_error: 0.8769, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4593, root_relative_squared_error: 0.9186, scimark_benchmark: 1846.6923, usercpu_time_millis: 19.029, usercpu_time_millis_testing: 0.441, usercpu_time_millis_training: 18.588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6488, f_measure: 0.6148, kappa: 0.23, kb_relative_information_score: 183.9765, mean_absolute_error: 0.4726, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6152, predictive_accuracy: 0.615, prior_entropy: 1, recall: 0.615, relative_absolute_error: 0.9451, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4838, root_relative_squared_error: 0.9676, scimark_benchmark: 1736.6341, usercpu_time_millis: 59.289, usercpu_time_millis_testing: 0.982, usercpu_time_millis_training: 58.307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8274, f_measure: 0.7414, kappa: 0.4846, kb_relative_information_score: 467.7786, mean_absolute_error: 0.4272, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7457, predictive_accuracy: 0.7423, prior_entropy: 1, recall: 0.7423, relative_absolute_error: 0.8543, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4406, root_relative_squared_error: 0.8812, scimark_benchmark: 1861.2508, usercpu_time_millis: 14.434, usercpu_time_millis_testing: 0.367, usercpu_time_millis_training: 14.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8384, f_measure: 0.7516, kappa: 0.5046, kb_relative_information_score: 515.8519, mean_absolute_error: 0.419, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7551, predictive_accuracy: 0.7523, prior_entropy: 1, recall: 0.7523, relative_absolute_error: 0.838, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4344, root_relative_squared_error: 0.8688, scimark_benchmark: 1843.1261, usercpu_time_millis: 26.609, usercpu_time_millis_testing: 0.518, usercpu_time_millis_training: 26.091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.69, f_measure: 0.6199, kappa: 0.24, kb_relative_information_score: 246.7607, mean_absolute_error: 0.4622, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6201, predictive_accuracy: 0.62, prior_entropy: 1, recall: 0.62, relative_absolute_error: 0.9243, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4743, root_relative_squared_error: 0.9487, scimark_benchmark: 1844.3569, usercpu_time_millis: 78.347, usercpu_time_millis_testing: 0.836, usercpu_time_millis_training: 77.511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6754, f_measure: 0.6126, kappa: 0.2254, kb_relative_information_score: 192.0641, mean_absolute_error: 0.4712, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6129, predictive_accuracy: 0.6127, prior_entropy: 1, recall: 0.6127, relative_absolute_error: 0.9423, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4806, root_relative_squared_error: 0.9613, scimark_benchmark: 1859.1356, usercpu_time_millis: 35.351, usercpu_time_millis_testing: 0.974, usercpu_time_millis_training: 34.377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8048, f_measure: 0.7247, kappa: 0.4523, kb_relative_information_score: 532.7976, mean_absolute_error: 0.4137, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7309, predictive_accuracy: 0.7262, prior_entropy: 1, recall: 0.7262, relative_absolute_error: 0.8274, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4369, root_relative_squared_error: 0.8739, scimark_benchmark: 1856.6531, usercpu_time_millis: 39.025, usercpu_time_millis_testing: 0.456, usercpu_time_millis_training: 38.569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7276, f_measure: 0.6799, kappa: 0.3608, kb_relative_information_score: 404.4489, mean_absolute_error: 0.4352, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6815, predictive_accuracy: 0.6804, prior_entropy: 1, recall: 0.6804, relative_absolute_error: 0.8704, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4611, root_relative_squared_error: 0.9222, scimark_benchmark: 1720.2195, usercpu_time_millis: 36.636, usercpu_time_millis_testing: 0.483, usercpu_time_millis_training: 36.153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8221, f_measure: 0.743, kappa: 0.4885, kb_relative_information_score: 476.0299, mean_absolute_error: 0.4255, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7492, predictive_accuracy: 0.7442, prior_entropy: 1, recall: 0.7442, relative_absolute_error: 0.851, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4402, root_relative_squared_error: 0.8804, scimark_benchmark: 1845.7835, usercpu_time_millis: 57.741, usercpu_time_millis_testing: 1.091, usercpu_time_millis_training: 56.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9012, f_measure: 0.8242, kappa: 0.6485, kb_relative_information_score: 1323.3283, mean_absolute_error: 0.2612, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8242, predictive_accuracy: 0.8242, prior_entropy: 1, recall: 0.8242, relative_absolute_error: 0.5225, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3542, root_relative_squared_error: 0.7085, scimark_benchmark: 1861.2508, usercpu_time_millis: 39.058, usercpu_time_millis_testing: 0.398, usercpu_time_millis_training: 38.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7048, f_measure: 0.6372, kappa: 0.28, kb_relative_information_score: 293.541, mean_absolute_error: 0.4545, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6444, predictive_accuracy: 0.64, prior_entropy: 1, recall: 0.64, relative_absolute_error: 0.909, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4688, root_relative_squared_error: 0.9375, scimark_benchmark: 1853.454, usercpu_time_millis: 41.389, usercpu_time_millis_testing: 0.607, usercpu_time_millis_training: 40.782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7354, f_measure: 0.6573, kappa: 0.3177, kb_relative_information_score: 261.319, mean_absolute_error: 0.4607, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6618, predictive_accuracy: 0.6588, prior_entropy: 1, recall: 0.6588, relative_absolute_error: 0.9213, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4684, root_relative_squared_error: 0.9368, scimark_benchmark: 1838.1242, usercpu_time_millis: 68.465, usercpu_time_millis_testing: 1.616, usercpu_time_millis_training: 66.849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8077, f_measure: 0.7308, kappa: 0.4646, kb_relative_information_score: 420.344, mean_absolute_error: 0.435, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7377, predictive_accuracy: 0.7323, prior_entropy: 1, recall: 0.7323, relative_absolute_error: 0.87, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.8943, scimark_benchmark: 1813.6996, usercpu_time_millis: 48.485, usercpu_time_millis_testing: 1.049, usercpu_time_millis_training: 47.436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7009, f_measure: 0.6259, kappa: 0.2538, kb_relative_information_score: 239.9688, mean_absolute_error: 0.4636, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6283, predictive_accuracy: 0.6269, prior_entropy: 1, recall: 0.6269, relative_absolute_error: 0.9272, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4731, root_relative_squared_error: 0.9462, scimark_benchmark: 1843.903, usercpu_time_millis: 55.509, usercpu_time_millis_testing: 0.543, usercpu_time_millis_training: 54.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6955, f_measure: 0.6209, kappa: 0.2423, kb_relative_information_score: 227.2166, mean_absolute_error: 0.4656, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6214, predictive_accuracy: 0.6212, prior_entropy: 1, recall: 0.6212, relative_absolute_error: 0.9313, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4748, root_relative_squared_error: 0.9497, scimark_benchmark: 1808.6539, usercpu_time_millis: 59.461, usercpu_time_millis_testing: 1.096, usercpu_time_millis_training: 58.365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7426, f_measure: 0.6887, kappa: 0.3808, kb_relative_information_score: 374.3213, mean_absolute_error: 0.4411, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6946, predictive_accuracy: 0.6904, prior_entropy: 1, recall: 0.6904, relative_absolute_error: 0.8823, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4582, root_relative_squared_error: 0.9165, scimark_benchmark: 1825.6528, usercpu_time_millis: 50.957, usercpu_time_millis_testing: 0.647, usercpu_time_millis_training: 50.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8292, f_measure: 0.7436, kappa: 0.4892, kb_relative_information_score: 438.2288, mean_absolute_error: 0.4326, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7487, predictive_accuracy: 0.7446, prior_entropy: 1, recall: 0.7446, relative_absolute_error: 0.8651, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4436, root_relative_squared_error: 0.8872, scimark_benchmark: 1857.7641, usercpu_time_millis: 53.037, usercpu_time_millis_testing: 1.416, usercpu_time_millis_training: 51.621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7451, f_measure: 0.6729, kappa: 0.35, kb_relative_information_score: 334.7097, mean_absolute_error: 0.4482, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6796, predictive_accuracy: 0.675, prior_entropy: 1, recall: 0.675, relative_absolute_error: 0.8965, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4609, root_relative_squared_error: 0.9218, scimark_benchmark: 1859.1356, usercpu_time_millis: 57.805, usercpu_time_millis_testing: 0.677, usercpu_time_millis_training: 57.128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6476, f_measure: 0.6136, kappa: 0.2277, kb_relative_information_score: 186.7037, mean_absolute_error: 0.4722, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6141, predictive_accuracy: 0.6138, prior_entropy: 1, recall: 0.6138, relative_absolute_error: 0.9443, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4845, root_relative_squared_error: 0.9691, scimark_benchmark: 1837.2609, usercpu_time_millis: 82.315, usercpu_time_millis_testing: 1.059, usercpu_time_millis_training: 81.256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6734, f_measure: 0.6156, kappa: 0.2315, kb_relative_information_score: 199.1397, mean_absolute_error: 0.4701, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.616, predictive_accuracy: 0.6158, prior_entropy: 1, recall: 0.6158, relative_absolute_error: 0.9401, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4816, root_relative_squared_error: 0.9632, scimark_benchmark: 1855.5999, usercpu_time_millis: 55.97, usercpu_time_millis_testing: 0.879, usercpu_time_millis_training: 55.091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7314, f_measure: 0.6782, kappa: 0.3608, kb_relative_information_score: 356.5995, mean_absolute_error: 0.444, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6855, predictive_accuracy: 0.6804, prior_entropy: 1, recall: 0.6804, relative_absolute_error: 0.8881, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4614, root_relative_squared_error: 0.9227, scimark_benchmark: 1843.8403, usercpu_time_millis: 103.579, usercpu_time_millis_testing: 1.071, usercpu_time_millis_training: 102.508,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7627, f_measure: 0.7001, kappa: 0.4046, kb_relative_information_score: 385.8434, mean_absolute_error: 0.4397, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7084, predictive_accuracy: 0.7023, prior_entropy: 1, recall: 0.7023, relative_absolute_error: 0.8793, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4545, root_relative_squared_error: 0.9089, scimark_benchmark: 1858.2223, usercpu_time_millis: 24.842, usercpu_time_millis_testing: 0.444, usercpu_time_millis_training: 24.398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6554, f_measure: 0.6148, kappa: 0.23, kb_relative_information_score: 169.7393, mean_absolute_error: 0.4748, 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: 0.9497, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.484, root_relative_squared_error: 0.9679, scimark_benchmark: 1857.0384, usercpu_time_millis: 10.231, usercpu_time_millis_testing: 0.477, usercpu_time_millis_training: 9.754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7303, f_measure: 0.6526, kappa: 0.3077, kb_relative_information_score: 260.4108, mean_absolute_error: 0.4607, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6562, predictive_accuracy: 0.6538, prior_entropy: 1, recall: 0.6538, relative_absolute_error: 0.9213, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4687, root_relative_squared_error: 0.9374, scimark_benchmark: 1848.9591, usercpu_time_millis: 25.924, usercpu_time_millis_testing: 0.826, usercpu_time_millis_training: 25.098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6924, f_measure: 0.6375, kappa: 0.2754, kb_relative_information_score: 117.6053, mean_absolute_error: 0.4832, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.638, predictive_accuracy: 0.6377, prior_entropy: 1, recall: 0.6377, relative_absolute_error: 0.9664, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4853, root_relative_squared_error: 0.9707, scimark_benchmark: 1853.3841, usercpu_time_millis: 7.305, usercpu_time_millis_testing: 0.634, usercpu_time_millis_training: 6.671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, f_measure: 0.6141, kappa: 0.2285, kb_relative_information_score: 182.1381, mean_absolute_error: 0.4729, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6144, predictive_accuracy: 0.6142, prior_entropy: 1, recall: 0.6142, relative_absolute_error: 0.9457, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4843, root_relative_squared_error: 0.9686, scimark_benchmark: 1849.0232, usercpu_time_millis: 2.565, usercpu_time_millis_testing: 0.372, usercpu_time_millis_training: 2.193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7046, f_measure: 0.6247, kappa: 0.25, kb_relative_information_score: 224.8625, mean_absolute_error: 0.4662, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6254, predictive_accuracy: 0.625, prior_entropy: 1, recall: 0.625, relative_absolute_error: 0.9323, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4741, root_relative_squared_error: 0.9482, scimark_benchmark: 1854.4431, usercpu_time_millis: 17.12, usercpu_time_millis_testing: 0.646, usercpu_time_millis_training: 16.474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7951, f_measure: 0.7162, kappa: 0.4331, kb_relative_information_score: 643.7811, mean_absolute_error: 0.3901, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7174, predictive_accuracy: 0.7165, prior_entropy: 1, recall: 0.7165, relative_absolute_error: 0.7803, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4325, root_relative_squared_error: 0.8649, scimark_benchmark: 1846.4335, usercpu_time_millis: 349.63, usercpu_time_millis_testing: 1.075, usercpu_time_millis_training: 348.555,
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: 1848.372, usercpu_time_millis: 3.914, usercpu_time_millis_testing: 0.607, usercpu_time_millis_training: 3.307,
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: 1857.5664, usercpu_time_millis: 3.073, usercpu_time_millis_testing: 0.5, usercpu_time_millis_training: 2.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.648, f_measure: 0.6169, kappa: 0.2346, kb_relative_information_score: 181.1279, mean_absolute_error: 0.4731, 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: 0.9463, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4847, root_relative_squared_error: 0.9694, scimark_benchmark: 1854.1, usercpu_time_millis: 8.198, usercpu_time_millis_testing: 0.397, usercpu_time_millis_training: 7.801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7256, f_measure: 0.6504, kappa: 0.3046, kb_relative_information_score: 297.6294, mean_absolute_error: 0.4542, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6556, predictive_accuracy: 0.6523, prior_entropy: 1, recall: 0.6523, relative_absolute_error: 0.9084, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4658, root_relative_squared_error: 0.9317, scimark_benchmark: 1853.3841, usercpu_time_millis: 9.338, usercpu_time_millis_testing: 0.415, usercpu_time_millis_training: 8.923,
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: 1852.4008, usercpu_time_millis: 5.068, usercpu_time_millis_testing: 0.892, usercpu_time_millis_training: 4.176,
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: 1854.6878, usercpu_time_millis: 4.451, usercpu_time_millis_testing: 0.837, usercpu_time_millis_training: 3.614,
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: 1852.4731, usercpu_time_millis: 2.746, usercpu_time_millis_testing: 0.448, usercpu_time_millis_training: 2.298,
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: 1844.7528, usercpu_time_millis: 2.977, usercpu_time_millis_testing: 0.488, usercpu_time_millis_training: 2.489,
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: 1859.8094, usercpu_time_millis: 5.61, usercpu_time_millis_testing: 0.975, usercpu_time_millis_training: 4.635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7303, f_measure: 0.6533, kappa: 0.3085, kb_relative_information_score: 243.0885, mean_absolute_error: 0.4636, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6559, predictive_accuracy: 0.6542, prior_entropy: 1, recall: 0.6542, relative_absolute_error: 0.9271, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4704, root_relative_squared_error: 0.9409, scimark_benchmark: 1844.2218, usercpu_time_millis: 12.084, usercpu_time_millis_testing: 0.486, usercpu_time_millis_training: 11.598,
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: 1849.7595, usercpu_time_millis: 2.543, usercpu_time_millis_testing: 0.426, usercpu_time_millis_training: 2.117,
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: 1858.6076, usercpu_time_millis: 3.674, usercpu_time_millis_testing: 0.615, usercpu_time_millis_training: 3.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6496, f_measure: 0.6148, kappa: 0.23, kb_relative_information_score: 176.7107, mean_absolute_error: 0.4738, 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: 0.9475, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.484, root_relative_squared_error: 0.9679, scimark_benchmark: 1852.859, usercpu_time_millis: 33.214, usercpu_time_millis_testing: 0.89, usercpu_time_millis_training: 32.324,
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: 1819.4765, usercpu_time_millis: 2.56, usercpu_time_millis_testing: 0.441, usercpu_time_millis_training: 2.119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, f_measure: 0.7815, kappa: 0.5638, kb_relative_information_score: 674.4976, mean_absolute_error: 0.391, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7842, predictive_accuracy: 0.7819, prior_entropy: 1, recall: 0.7819, relative_absolute_error: 0.7821, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4149, root_relative_squared_error: 0.8299, scimark_benchmark: 1860.7227, usercpu_time_millis: 17.936, usercpu_time_millis_testing: 0.356, usercpu_time_millis_training: 17.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6677, f_measure: 0.6122, kappa: 0.2246, kb_relative_information_score: 172.9684, mean_absolute_error: 0.4743, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6124, predictive_accuracy: 0.6123, prior_entropy: 1, recall: 0.6123, relative_absolute_error: 0.9485, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4824, root_relative_squared_error: 0.9649, scimark_benchmark: 1848.388, usercpu_time_millis: 32.763, usercpu_time_millis_testing: 1.015, usercpu_time_millis_training: 31.748,
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: 1818.9456, usercpu_time_millis: 4.023, usercpu_time_millis_testing: 0.723, usercpu_time_millis_training: 3.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6681, f_measure: 0.6082, kappa: 0.2169, kb_relative_information_score: 154.9108, mean_absolute_error: 0.4772, 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: 0.9543, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4835, root_relative_squared_error: 0.967, scimark_benchmark: 1855.2911, usercpu_time_millis: 28.335, usercpu_time_millis_testing: 1.058, usercpu_time_millis_training: 27.277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8069, f_measure: 0.7488, kappa: 0.4977, kb_relative_information_score: 1213.8873, mean_absolute_error: 0.2699, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.749, predictive_accuracy: 0.7488, prior_entropy: 1, recall: 0.7488, relative_absolute_error: 0.5399, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4441, root_relative_squared_error: 0.8882, scimark_benchmark: 1837.6484, usercpu_time_millis: 3.382, usercpu_time_millis_testing: 0.367, usercpu_time_millis_training: 3.015,
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: 1818.4176, usercpu_time_millis: 5.612, usercpu_time_millis_testing: 0.925, usercpu_time_millis_training: 4.687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7233, f_measure: 0.6433, kappa: 0.2892, kb_relative_information_score: 271.557, mean_absolute_error: 0.4586, 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: 0.9173, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4684, root_relative_squared_error: 0.9367, scimark_benchmark: 1846.8866, usercpu_time_millis: 15.426, usercpu_time_millis_testing: 0.355, usercpu_time_millis_training: 15.071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8417, f_measure: 0.7526, kappa: 0.5077, kb_relative_information_score: 583.7568, mean_absolute_error: 0.4067, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.759, predictive_accuracy: 0.7538, prior_entropy: 1, recall: 0.7538, relative_absolute_error: 0.8134, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4273, root_relative_squared_error: 0.8545, scimark_benchmark: 1852.7487, usercpu_time_millis: 90.48, usercpu_time_millis_testing: 0.789, usercpu_time_millis_training: 89.691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7599, f_measure: 0.6966, kappa: 0.3985, kb_relative_information_score: 383.8218, mean_absolute_error: 0.4399, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7064, predictive_accuracy: 0.6992, prior_entropy: 1, recall: 0.6992, relative_absolute_error: 0.8799, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4552, root_relative_squared_error: 0.9104, scimark_benchmark: 1853.454, usercpu_time_millis: 115.711, usercpu_time_millis_testing: 1.042, usercpu_time_millis_training: 114.669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7596, f_measure: 0.684, kappa: 0.3715, kb_relative_information_score: 499.5165, mean_absolute_error: 0.4165, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.69, predictive_accuracy: 0.6858, prior_entropy: 1, recall: 0.6858, relative_absolute_error: 0.8329, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4476, root_relative_squared_error: 0.8953, scimark_benchmark: 1828.686, usercpu_time_millis: 102.739, usercpu_time_millis_testing: 0.661, usercpu_time_millis_training: 102.078,

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