OpenML
Supervised Classification on madelon

Supervised Classification on madelon

Task 145853 Supervised Classification madelon 38804 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8848, f_measure: 0.8084, kappa: 0.6169, kb_relative_information_score: 1223.8795, mean_absolute_error: 0.2804, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8091, predictive_accuracy: 0.8085, prior_entropy: 1, recall: 0.8085, relative_absolute_error: 0.5607, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3694, root_relative_squared_error: 0.7389, scimark_benchmark: 1839.1431, usercpu_time_millis: 1914.716, usercpu_time_millis_testing: 1.451, usercpu_time_millis_training: 1913.265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8153, f_measure: 0.7404, kappa: 0.4846, kb_relative_information_score: 553.083, mean_absolute_error: 0.411, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7495, predictive_accuracy: 0.7423, prior_entropy: 1, recall: 0.7423, relative_absolute_error: 0.8221, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.434, root_relative_squared_error: 0.8679, scimark_benchmark: 1749.8746, usercpu_time_millis: 297.74, usercpu_time_millis_testing: 1.231, usercpu_time_millis_training: 296.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.788, f_measure: 0.7201, kappa: 0.4438, kb_relative_information_score: 419.4706, mean_absolute_error: 0.4346, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7278, predictive_accuracy: 0.7219, prior_entropy: 1, recall: 0.7219, relative_absolute_error: 0.8691, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.449, root_relative_squared_error: 0.8981, scimark_benchmark: 1753.926, usercpu_time_millis: 167.903, usercpu_time_millis_testing: 1.452, usercpu_time_millis_training: 166.451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8601, f_measure: 0.7754, kappa: 0.5515, kb_relative_information_score: 723.4034, mean_absolute_error: 0.3808, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7776, predictive_accuracy: 0.7758, prior_entropy: 1, recall: 0.7758, relative_absolute_error: 0.7615, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4111, root_relative_squared_error: 0.8222, scimark_benchmark: 1761.9234, usercpu_time_millis: 168.243, usercpu_time_millis_testing: 0.914, usercpu_time_millis_training: 167.329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8344, f_measure: 0.7475, kappa: 0.4969, kb_relative_information_score: 638.9058, mean_absolute_error: 0.3951, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7522, predictive_accuracy: 0.7485, prior_entropy: 1, recall: 0.7485, relative_absolute_error: 0.7903, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4233, root_relative_squared_error: 0.8465, scimark_benchmark: 1853.454, usercpu_time_millis: 131.762, usercpu_time_millis_testing: 0.957, usercpu_time_millis_training: 130.805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7145, f_measure: 0.6718, kappa: 0.3446, kb_relative_information_score: 380.7197, mean_absolute_error: 0.4391, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6735, predictive_accuracy: 0.6723, prior_entropy: 1, recall: 0.6723, relative_absolute_error: 0.8782, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4649, root_relative_squared_error: 0.9298, scimark_benchmark: 1728.0111, usercpu_time_millis: 109.772, usercpu_time_millis_testing: 0.682, usercpu_time_millis_training: 109.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7729, f_measure: 0.7028, kappa: 0.4092, kb_relative_information_score: 350.1613, mean_absolute_error: 0.4463, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7097, predictive_accuracy: 0.7046, prior_entropy: 1, recall: 0.7046, relative_absolute_error: 0.8926, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.457, root_relative_squared_error: 0.9141, scimark_benchmark: 1857.1082, usercpu_time_millis: 82.339, usercpu_time_millis_testing: 1.217, usercpu_time_millis_training: 81.122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6468, f_measure: 0.6136, kappa: 0.2277, kb_relative_information_score: 180.5081, mean_absolute_error: 0.4732, 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: 0.9463, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4842, root_relative_squared_error: 0.9684, scimark_benchmark: 1734.7321, usercpu_time_millis: 74.173, usercpu_time_millis_testing: 0.968, usercpu_time_millis_training: 73.205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8362, f_measure: 0.7535, kappa: 0.51, kb_relative_information_score: 577.4876, mean_absolute_error: 0.4075, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7614, predictive_accuracy: 0.755, prior_entropy: 1, recall: 0.755, relative_absolute_error: 0.8149, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4287, root_relative_squared_error: 0.8574, scimark_benchmark: 1850.2875, usercpu_time_millis: 70.309, usercpu_time_millis_testing: 0.637, usercpu_time_millis_training: 69.672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8046, f_measure: 0.7296, kappa: 0.4615, kb_relative_information_score: 369.8576, mean_absolute_error: 0.4437, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.735, predictive_accuracy: 0.7308, prior_entropy: 1, recall: 0.7308, relative_absolute_error: 0.8873, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4528, root_relative_squared_error: 0.9055, scimark_benchmark: 1739.6952, usercpu_time_millis: 32.111, usercpu_time_millis_testing: 0.804, usercpu_time_millis_training: 31.307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6734, f_measure: 0.6106, kappa: 0.2215, kb_relative_information_score: 64.1782, mean_absolute_error: 0.4911, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6109, predictive_accuracy: 0.6108, prior_entropy: 1, recall: 0.6108, relative_absolute_error: 0.9822, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4918, root_relative_squared_error: 0.9837, scimark_benchmark: 1733.299, usercpu_time_millis: 10.928, usercpu_time_millis_testing: 1.14, usercpu_time_millis_training: 9.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7881, f_measure: 0.7223, kappa: 0.4469, kb_relative_information_score: 452.8489, mean_absolute_error: 0.4286, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7273, predictive_accuracy: 0.7235, prior_entropy: 1, recall: 0.7235, relative_absolute_error: 0.8572, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4462, root_relative_squared_error: 0.8924, scimark_benchmark: 1757.2399, usercpu_time_millis: 20.563, usercpu_time_millis_testing: 0.357, usercpu_time_millis_training: 20.206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.831, f_measure: 0.7438, kappa: 0.4885, kb_relative_information_score: 676.7032, mean_absolute_error: 0.3872, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7457, predictive_accuracy: 0.7442, prior_entropy: 1, recall: 0.7442, relative_absolute_error: 0.7744, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.421, root_relative_squared_error: 0.842, scimark_benchmark: 1746.9415, usercpu_time_millis: 14.058, usercpu_time_millis_testing: 0.442, usercpu_time_millis_training: 13.616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8327, f_measure: 0.7544, kappa: 0.5108, kb_relative_information_score: 511.2009, mean_absolute_error: 0.4196, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7594, predictive_accuracy: 0.7554, prior_entropy: 1, recall: 0.7554, relative_absolute_error: 0.8392, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4352, root_relative_squared_error: 0.8704, scimark_benchmark: 1853.9121, usercpu_time_millis: 16.075, usercpu_time_millis_testing: 0.348, usercpu_time_millis_training: 15.727,
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: 1728.0111, usercpu_time_millis: 3.198, usercpu_time_millis_testing: 0.545, usercpu_time_millis_training: 2.653,
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: 1728.0111, usercpu_time_millis: 5.135, usercpu_time_millis_testing: 0.931, usercpu_time_millis_training: 4.204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6749, f_measure: 0.6148, kappa: 0.23, kb_relative_information_score: 192.3937, mean_absolute_error: 0.4711, 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: 0.9423, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4813, root_relative_squared_error: 0.9626, scimark_benchmark: 1850.2875, usercpu_time_millis: 7.378, usercpu_time_millis_testing: 0.415, usercpu_time_millis_training: 6.963,
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: 1733.4264, usercpu_time_millis: 3.332, usercpu_time_millis_testing: 0.577, usercpu_time_millis_training: 2.755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9195, f_measure: 0.8519, kappa: 0.7038, kb_relative_information_score: 1214.0435, mean_absolute_error: 0.2897, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.852, predictive_accuracy: 0.8519, prior_entropy: 1, recall: 0.8519, relative_absolute_error: 0.5795, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.347, root_relative_squared_error: 0.6939, scimark_benchmark: 2125.9141, usercpu_time_millis: 654.315, usercpu_time_millis_testing: 1.387, usercpu_time_millis_training: 652.928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.813, f_measure: 0.7358, kappa: 0.4738, kb_relative_information_score: 585.7852, mean_absolute_error: 0.4041, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7411, predictive_accuracy: 0.7369, prior_entropy: 1, recall: 0.7369, relative_absolute_error: 0.8082, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4314, root_relative_squared_error: 0.8627, scimark_benchmark: 1751.2598, usercpu_time_millis: 288.741, usercpu_time_millis_testing: 1.127, usercpu_time_millis_training: 287.614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7861, f_measure: 0.717, kappa: 0.4377, kb_relative_information_score: 546.959, mean_absolute_error: 0.4088, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7248, predictive_accuracy: 0.7188, prior_entropy: 1, recall: 0.7188, relative_absolute_error: 0.8176, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4397, root_relative_squared_error: 0.8794, scimark_benchmark: 1852.4008, usercpu_time_millis: 49.262, usercpu_time_millis_testing: 0.368, usercpu_time_millis_training: 48.894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6839, f_measure: 0.6126, kappa: 0.2254, kb_relative_information_score: 225.4148, mean_absolute_error: 0.4658, 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: 0.9315, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4781, root_relative_squared_error: 0.9562, scimark_benchmark: 1851.4874, usercpu_time_millis: 48.459, usercpu_time_millis_testing: 0.651, usercpu_time_millis_training: 47.808,
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: 1750.937, usercpu_time_millis: 4.656, usercpu_time_millis_testing: 0.698, usercpu_time_millis_training: 3.958,
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: 1758.4723, usercpu_time_millis: 3.602, usercpu_time_millis_testing: 0.64, usercpu_time_millis_training: 2.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9019, f_measure: 0.8291, kappa: 0.6585, kb_relative_information_score: 830.0015, mean_absolute_error: 0.3646, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.83, predictive_accuracy: 0.8292, prior_entropy: 1, recall: 0.8292, relative_absolute_error: 0.7292, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3913, root_relative_squared_error: 0.7826, scimark_benchmark: 1713.7212, usercpu_time_millis: 856.014, usercpu_time_millis_testing: 3.555, usercpu_time_millis_training: 852.459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.8592, kappa: 0.7185, kb_relative_information_score: 1185.1895, mean_absolute_error: 0.2968, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8594, predictive_accuracy: 0.8592, prior_entropy: 1, recall: 0.8592, relative_absolute_error: 0.5937, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3463, root_relative_squared_error: 0.6927, scimark_benchmark: 1752.7081, usercpu_time_millis: 392.989, usercpu_time_millis_testing: 1.009, usercpu_time_millis_training: 391.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8301, f_measure: 0.7478, kappa: 0.4977, kb_relative_information_score: 643.2795, mean_absolute_error: 0.3943, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7531, predictive_accuracy: 0.7488, prior_entropy: 1, recall: 0.7488, relative_absolute_error: 0.7886, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4238, root_relative_squared_error: 0.8476, scimark_benchmark: 1851.9456, usercpu_time_millis: 517.391, usercpu_time_millis_testing: 1.314, usercpu_time_millis_training: 516.077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8849, f_measure: 0.8153, kappa: 0.6308, kb_relative_information_score: 908.0774, mean_absolute_error: 0.3478, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.816, predictive_accuracy: 0.8154, prior_entropy: 1, recall: 0.8154, relative_absolute_error: 0.6955, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.388, root_relative_squared_error: 0.7759, scimark_benchmark: 1832.1165, usercpu_time_millis: 371.134, usercpu_time_millis_testing: 0.793, usercpu_time_millis_training: 370.341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7081, f_measure: 0.6482, kappa: 0.3169, kb_relative_information_score: 349.0444, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6794, predictive_accuracy: 0.6585, prior_entropy: 1, recall: 0.6585, relative_absolute_error: 0.8898, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4662, root_relative_squared_error: 0.9324, scimark_benchmark: 1759.302, usercpu_time_millis: 156.569, usercpu_time_millis_testing: 0.943, usercpu_time_millis_training: 155.626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7918, f_measure: 0.7248, kappa: 0.4531, kb_relative_information_score: 450.6853, mean_absolute_error: 0.4291, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7323, predictive_accuracy: 0.7265, prior_entropy: 1, recall: 0.7265, relative_absolute_error: 0.8581, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4457, root_relative_squared_error: 0.8913, scimark_benchmark: 2107.8261, usercpu_time_millis: 63.175, usercpu_time_millis_testing: 0.546, usercpu_time_millis_training: 62.629,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8042, f_measure: 0.7236, kappa: 0.4485, kb_relative_information_score: 376.0054, mean_absolute_error: 0.4425, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7262, predictive_accuracy: 0.7242, prior_entropy: 1, recall: 0.7242, relative_absolute_error: 0.8851, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4522, root_relative_squared_error: 0.9043, scimark_benchmark: 1840.3077, usercpu_time_millis: 34.604, usercpu_time_millis_testing: 0.688, usercpu_time_millis_training: 33.916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6881, f_measure: 0.6154, kappa: 0.2308, kb_relative_information_score: 204.3093, mean_absolute_error: 0.4693, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6154, predictive_accuracy: 0.6154, prior_entropy: 1, recall: 0.6154, relative_absolute_error: 0.9386, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4775, root_relative_squared_error: 0.955, scimark_benchmark: 1846.3057, usercpu_time_millis: 18.408, usercpu_time_millis_testing: 0.541, usercpu_time_millis_training: 17.867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6873, f_measure: 0.6181, kappa: 0.2362, kb_relative_information_score: 139.3156, mean_absolute_error: 0.4798, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6181, predictive_accuracy: 0.6181, prior_entropy: 1, recall: 0.6181, relative_absolute_error: 0.9596, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4832, root_relative_squared_error: 0.9664, scimark_benchmark: 1846.8073, usercpu_time_millis: 2.751, usercpu_time_millis_testing: 0.389, usercpu_time_millis_training: 2.362,
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: 1843.2259, usercpu_time_millis: 2.985, usercpu_time_millis_testing: 0.527, usercpu_time_millis_training: 2.458,
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: 1849.9303, usercpu_time_millis: 3.228, usercpu_time_millis_testing: 0.671, usercpu_time_millis_training: 2.557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7598, f_measure: 0.6878, kappa: 0.38, kb_relative_information_score: 463.4292, mean_absolute_error: 0.4247, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6955, predictive_accuracy: 0.69, prior_entropy: 1, recall: 0.69, relative_absolute_error: 0.8494, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4494, root_relative_squared_error: 0.8989, scimark_benchmark: 1832.6873, usercpu_time_millis: 4.436, usercpu_time_millis_testing: 0.399, usercpu_time_millis_training: 4.037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6857, f_measure: 0.6145, kappa: 0.2292, kb_relative_information_score: 122.6346, mean_absolute_error: 0.4824, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6147, predictive_accuracy: 0.6146, prior_entropy: 1, recall: 0.6146, relative_absolute_error: 0.9648, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.485, root_relative_squared_error: 0.9699, scimark_benchmark: 1739.4953, usercpu_time_millis: 3.955, usercpu_time_millis_testing: 0.465, usercpu_time_millis_training: 3.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8957, f_measure: 0.8276, kappa: 0.6554, kb_relative_information_score: 840.2901, mean_absolute_error: 0.362, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8285, predictive_accuracy: 0.8277, prior_entropy: 1, recall: 0.8277, relative_absolute_error: 0.7241, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3916, root_relative_squared_error: 0.7832, scimark_benchmark: 1738.9939, usercpu_time_millis: 736.149, usercpu_time_millis_testing: 2.746, usercpu_time_millis_training: 733.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9102, f_measure: 0.8415, kappa: 0.6831, kb_relative_information_score: 1346.1744, mean_absolute_error: 0.2596, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8416, predictive_accuracy: 0.8415, prior_entropy: 1, recall: 0.8415, relative_absolute_error: 0.5192, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3444, root_relative_squared_error: 0.6887, scimark_benchmark: 2121.2482, usercpu_time_millis: 496.687, usercpu_time_millis_testing: 0.668, usercpu_time_millis_training: 496.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9083, f_measure: 0.8303, kappa: 0.6608, kb_relative_information_score: 815.3367, mean_absolute_error: 0.3678, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8314, predictive_accuracy: 0.8304, prior_entropy: 1, recall: 0.8304, relative_absolute_error: 0.7357, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3918, root_relative_squared_error: 0.7835, scimark_benchmark: 2130.5095, usercpu_time_millis: 259.008, usercpu_time_millis_testing: 2.648, usercpu_time_millis_training: 256.36,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6535, f_measure: 0.6159, kappa: 0.2323, kb_relative_information_score: 169.712, mean_absolute_error: 0.4749, 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: 0.9498, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.484, root_relative_squared_error: 0.9681, scimark_benchmark: 1738.0471, usercpu_time_millis: 56.694, usercpu_time_millis_testing: 0.993, usercpu_time_millis_training: 55.701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7052, f_measure: 0.6323, kappa: 0.2669, kb_relative_information_score: 283.3549, mean_absolute_error: 0.4564, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6352, predictive_accuracy: 0.6335, prior_entropy: 1, recall: 0.6335, relative_absolute_error: 0.9127, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4695, root_relative_squared_error: 0.9391, scimark_benchmark: 1843.7454, usercpu_time_millis: 44.388, usercpu_time_millis_testing: 0.643, usercpu_time_millis_training: 43.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8385, f_measure: 0.7557, kappa: 0.5123, kb_relative_information_score: 666.6541, mean_absolute_error: 0.3902, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7583, predictive_accuracy: 0.7562, prior_entropy: 1, recall: 0.7562, relative_absolute_error: 0.7803, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4202, root_relative_squared_error: 0.8403, scimark_benchmark: 1731.6822, usercpu_time_millis: 4.758, usercpu_time_millis_testing: 0.397, usercpu_time_millis_training: 4.361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9078, f_measure: 0.838, kappa: 0.6762, kb_relative_information_score: 966.1953, mean_absolute_error: 0.3388, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8384, predictive_accuracy: 0.8381, prior_entropy: 1, recall: 0.8381, relative_absolute_error: 0.6777, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3751, root_relative_squared_error: 0.7502, scimark_benchmark: 1743.8515, usercpu_time_millis: 1056.236, usercpu_time_millis_testing: 2.351, usercpu_time_millis_training: 1053.885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9288, f_measure: 0.8627, kappa: 0.7254, kb_relative_information_score: 1318.9131, mean_absolute_error: 0.2684, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8628, predictive_accuracy: 0.8627, prior_entropy: 1, recall: 0.8627, relative_absolute_error: 0.5367, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3339, root_relative_squared_error: 0.6677, scimark_benchmark: 1841.6688, usercpu_time_millis: 645.69, usercpu_time_millis_testing: 1.301, usercpu_time_millis_training: 644.389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9086, f_measure: 0.8419, kappa: 0.6838, kb_relative_information_score: 1002.7889, mean_absolute_error: 0.3318, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8422, predictive_accuracy: 0.8419, prior_entropy: 1, recall: 0.8419, relative_absolute_error: 0.6635, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3711, root_relative_squared_error: 0.7423, scimark_benchmark: 1853.9121, usercpu_time_millis: 198.428, usercpu_time_millis_testing: 0.892, usercpu_time_millis_training: 197.536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8891, f_measure: 0.8191, kappa: 0.6385, kb_relative_information_score: 813.789, mean_absolute_error: 0.3664, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.82, predictive_accuracy: 0.8192, prior_entropy: 1, recall: 0.8192, relative_absolute_error: 0.7328, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3959, root_relative_squared_error: 0.7919, scimark_benchmark: 1851.8567, usercpu_time_millis: 131.626, usercpu_time_millis_testing: 0.618, usercpu_time_millis_training: 131.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.725, f_measure: 0.6406, kappa: 0.2831, kb_relative_information_score: 254.5748, mean_absolute_error: 0.4616, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.643, predictive_accuracy: 0.6415, prior_entropy: 1, recall: 0.6415, relative_absolute_error: 0.9232, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4698, root_relative_squared_error: 0.9397, scimark_benchmark: 1834.2992, usercpu_time_millis: 123.737, usercpu_time_millis_testing: 1.392, usercpu_time_millis_training: 122.345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7934, f_measure: 0.7235, kappa: 0.4508, kb_relative_information_score: 394.5218, mean_absolute_error: 0.4391, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7315, predictive_accuracy: 0.7254, prior_entropy: 1, recall: 0.7254, relative_absolute_error: 0.8782, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4508, root_relative_squared_error: 0.9016, scimark_benchmark: 1853.9121, usercpu_time_millis: 56.987, usercpu_time_millis_testing: 1.166, usercpu_time_millis_training: 55.821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.692, f_measure: 0.6272, kappa: 0.2546, kb_relative_information_score: 107.5265, mean_absolute_error: 0.4847, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6275, predictive_accuracy: 0.6273, prior_entropy: 1, recall: 0.6273, relative_absolute_error: 0.9694, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4865, root_relative_squared_error: 0.973, scimark_benchmark: 1853.9121, usercpu_time_millis: 24.026, usercpu_time_millis_testing: 1.715, usercpu_time_millis_training: 22.311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7509, f_measure: 0.6772, kappa: 0.3562, kb_relative_information_score: 233.6557, mean_absolute_error: 0.4654, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.68, predictive_accuracy: 0.6781, prior_entropy: 1, recall: 0.6781, relative_absolute_error: 0.9309, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4705, root_relative_squared_error: 0.9411, scimark_benchmark: 2136.8246, usercpu_time_millis: 24.408, usercpu_time_millis_testing: 1.013, usercpu_time_millis_training: 23.395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6591, f_measure: 0.6087, kappa: 0.2177, kb_relative_information_score: 128.0595, mean_absolute_error: 0.4814, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.609, predictive_accuracy: 0.6088, prior_entropy: 1, recall: 0.6088, relative_absolute_error: 0.9629, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4858, root_relative_squared_error: 0.9716, scimark_benchmark: 1853.3841, usercpu_time_millis: 6.108, usercpu_time_millis_testing: 0.375, usercpu_time_millis_training: 5.733,
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: 1834.6984, usercpu_time_millis: 2.712, usercpu_time_millis_testing: 0.379, usercpu_time_millis_training: 2.333,
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: 1846.6923, usercpu_time_millis: 3.958, usercpu_time_millis_testing: 0.627, usercpu_time_millis_training: 3.331,
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: 1853.9121, usercpu_time_millis: 2.373, usercpu_time_millis_testing: 0.325, usercpu_time_millis_training: 2.048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9097, f_measure: 0.8373, kappa: 0.6746, kb_relative_information_score: 1081.2418, mean_absolute_error: 0.3161, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8375, predictive_accuracy: 0.8373, prior_entropy: 1, recall: 0.8373, relative_absolute_error: 0.6323, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3632, root_relative_squared_error: 0.7263, scimark_benchmark: 1729.8284, usercpu_time_millis: 2138.98, usercpu_time_millis_testing: 2.371, usercpu_time_millis_training: 2136.609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8666, f_measure: 0.7908, kappa: 0.5823, kb_relative_information_score: 775.8223, mean_absolute_error: 0.3717, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7933, predictive_accuracy: 0.7912, prior_entropy: 1, recall: 0.7912, relative_absolute_error: 0.7433, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4053, root_relative_squared_error: 0.8105, scimark_benchmark: 1741.7379, usercpu_time_millis: 1244.471, usercpu_time_millis_testing: 2.089, usercpu_time_millis_training: 1242.382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9171, f_measure: 0.8484, kappa: 0.6969, kb_relative_information_score: 1195.0121, mean_absolute_error: 0.2935, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8487, predictive_accuracy: 0.8485, prior_entropy: 1, recall: 0.8485, relative_absolute_error: 0.5869, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3498, root_relative_squared_error: 0.6996, scimark_benchmark: 2119.7084, usercpu_time_millis: 1052.882, usercpu_time_millis_testing: 1.849, usercpu_time_millis_training: 1051.033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8768, f_measure: 0.8072, kappa: 0.6146, kb_relative_information_score: 864.0222, mean_absolute_error: 0.3555, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8081, predictive_accuracy: 0.8073, prior_entropy: 1, recall: 0.8073, relative_absolute_error: 0.7109, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3944, root_relative_squared_error: 0.7889, scimark_benchmark: 1738.0409, usercpu_time_millis: 1010.505, usercpu_time_millis_testing: 1.913, usercpu_time_millis_training: 1008.592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9092, f_measure: 0.8427, kappa: 0.6854, kb_relative_information_score: 1072.7401, mean_absolute_error: 0.3177, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.843, predictive_accuracy: 0.8427, prior_entropy: 1, recall: 0.8427, relative_absolute_error: 0.6354, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3643, root_relative_squared_error: 0.7285, scimark_benchmark: 1746.8622, usercpu_time_millis: 845.045, usercpu_time_millis_testing: 1.644, usercpu_time_millis_training: 843.401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8491, f_measure: 0.7624, kappa: 0.5269, kb_relative_information_score: 705.3806, mean_absolute_error: 0.3837, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7681, predictive_accuracy: 0.7635, prior_entropy: 1, recall: 0.7635, relative_absolute_error: 0.7674, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4154, root_relative_squared_error: 0.8307, scimark_benchmark: 1808.959, usercpu_time_millis: 532.391, usercpu_time_millis_testing: 1.105, usercpu_time_millis_training: 531.286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9194, f_measure: 0.8523, kappa: 0.7046, kb_relative_information_score: 1240.8885, mean_absolute_error: 0.2842, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8524, predictive_accuracy: 0.8523, prior_entropy: 1, recall: 0.8523, relative_absolute_error: 0.5684, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3446, root_relative_squared_error: 0.6893, scimark_benchmark: 1804.5023, usercpu_time_millis: 442.936, usercpu_time_millis_testing: 0.725, usercpu_time_millis_training: 442.211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8735, f_measure: 0.7768, kappa: 0.5554, kb_relative_information_score: 625.1296, mean_absolute_error: 0.4007, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.782, predictive_accuracy: 0.7777, prior_entropy: 1, recall: 0.7777, relative_absolute_error: 0.8014, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4188, root_relative_squared_error: 0.8377, scimark_benchmark: 1804.0049, usercpu_time_millis: 390.405, usercpu_time_millis_testing: 3.025, usercpu_time_millis_training: 387.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.7835, kappa: 0.5685, kb_relative_information_score: 698.1422, mean_absolute_error: 0.3866, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7882, predictive_accuracy: 0.7842, prior_entropy: 1, recall: 0.7842, relative_absolute_error: 0.7731, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4123, root_relative_squared_error: 0.8245, scimark_benchmark: 1809.3967, usercpu_time_millis: 380.267, usercpu_time_millis_testing: 1.974, usercpu_time_millis_training: 378.293,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8624, f_measure: 0.7897, kappa: 0.58, kb_relative_information_score: 753.4793, mean_absolute_error: 0.3756, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7917, predictive_accuracy: 0.79, prior_entropy: 1, recall: 0.79, relative_absolute_error: 0.7512, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4079, root_relative_squared_error: 0.8159, scimark_benchmark: 1812.8084, usercpu_time_millis: 251.43, usercpu_time_millis_testing: 0.84, usercpu_time_millis_training: 250.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8997, f_measure: 0.8261, kappa: 0.6523, kb_relative_information_score: 834.9236, mean_absolute_error: 0.3635, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8269, predictive_accuracy: 0.8262, prior_entropy: 1, recall: 0.8262, relative_absolute_error: 0.7269, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3913, root_relative_squared_error: 0.7826, scimark_benchmark: 1739.4787, usercpu_time_millis: 247.187, usercpu_time_millis_testing: 1.07, usercpu_time_millis_training: 246.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8001, f_measure: 0.729, kappa: 0.4615, kb_relative_information_score: 531.0092, mean_absolute_error: 0.4139, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.737, predictive_accuracy: 0.7308, prior_entropy: 1, recall: 0.7308, relative_absolute_error: 0.8279, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4377, root_relative_squared_error: 0.8755, scimark_benchmark: 1796.314, usercpu_time_millis: 221.054, usercpu_time_millis_testing: 1.176, usercpu_time_millis_training: 219.878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7029, f_measure: 0.6404, kappa: 0.2869, kb_relative_information_score: 303.4518, mean_absolute_error: 0.4528, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6485, predictive_accuracy: 0.6435, prior_entropy: 1, recall: 0.6435, relative_absolute_error: 0.9056, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4691, root_relative_squared_error: 0.9382, scimark_benchmark: 1799.0909, usercpu_time_millis: 78.344, usercpu_time_millis_testing: 0.632, usercpu_time_millis_training: 77.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7718, f_measure: 0.6992, kappa: 0.4008, kb_relative_information_score: 260.8578, mean_absolute_error: 0.4613, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7035, predictive_accuracy: 0.7004, prior_entropy: 1, recall: 0.7004, relative_absolute_error: 0.9226, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4668, root_relative_squared_error: 0.9335, scimark_benchmark: 1724.3056, usercpu_time_millis: 46.631, usercpu_time_millis_testing: 1.246, usercpu_time_millis_training: 45.385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7454, f_measure: 0.6641, kappa: 0.3292, kb_relative_information_score: 205.1399, mean_absolute_error: 0.4699, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6656, predictive_accuracy: 0.6646, prior_entropy: 1, recall: 0.6646, relative_absolute_error: 0.9399, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.474, root_relative_squared_error: 0.9479, scimark_benchmark: 1722.7118, usercpu_time_millis: 29.267, usercpu_time_millis_testing: 1.125, usercpu_time_millis_training: 28.142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7952, f_measure: 0.7283, kappa: 0.46, kb_relative_information_score: 447.8267, mean_absolute_error: 0.4296, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7359, predictive_accuracy: 0.73, prior_entropy: 1, recall: 0.73, relative_absolute_error: 0.8592, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4455, root_relative_squared_error: 0.891, scimark_benchmark: 2131.8891, usercpu_time_millis: 50.133, usercpu_time_millis_testing: 0.625, usercpu_time_millis_training: 49.508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6914, f_measure: 0.6298, kappa: 0.26, kb_relative_information_score: 120.5806, mean_absolute_error: 0.4827, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6303, predictive_accuracy: 0.63, prior_entropy: 1, recall: 0.63, relative_absolute_error: 0.9654, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.485, root_relative_squared_error: 0.97, scimark_benchmark: 1720.8898, usercpu_time_millis: 21.882, usercpu_time_millis_testing: 1.178, usercpu_time_millis_training: 20.704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.895, f_measure: 0.8175, kappa: 0.6354, kb_relative_information_score: 785.7218, mean_absolute_error: 0.3722, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8189, predictive_accuracy: 0.8177, prior_entropy: 1, recall: 0.8177, relative_absolute_error: 0.7445, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3977, root_relative_squared_error: 0.7953, scimark_benchmark: 1811.3287, usercpu_time_millis: 36.208, usercpu_time_millis_testing: 0.463, usercpu_time_millis_training: 35.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7327, f_measure: 0.648, kappa: 0.2977, kb_relative_information_score: 228.9426, mean_absolute_error: 0.4659, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6502, predictive_accuracy: 0.6488, prior_entropy: 1, recall: 0.6488, relative_absolute_error: 0.9319, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4718, root_relative_squared_error: 0.9435, scimark_benchmark: 1802.9498, usercpu_time_millis: 30.124, usercpu_time_millis_testing: 1.068, usercpu_time_millis_training: 29.056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6783, f_measure: 0.6227, kappa: 0.2454, kb_relative_information_score: 59.1746, mean_absolute_error: 0.4918, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6227, predictive_accuracy: 0.6227, prior_entropy: 1, recall: 0.6227, relative_absolute_error: 0.9836, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4924, root_relative_squared_error: 0.9848, scimark_benchmark: 1720.8898, usercpu_time_millis: 14.597, usercpu_time_millis_testing: 1.083, usercpu_time_millis_training: 13.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6637, f_measure: 0.6156, kappa: 0.2315, kb_relative_information_score: 190.6626, mean_absolute_error: 0.4714, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6159, predictive_accuracy: 0.6158, prior_entropy: 1, recall: 0.6158, relative_absolute_error: 0.9429, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.483, root_relative_squared_error: 0.9661, scimark_benchmark: 1811.7664, usercpu_time_millis: 27.7, usercpu_time_millis_testing: 0.478, usercpu_time_millis_training: 27.222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6599, f_measure: 0.6152, kappa: 0.2308, kb_relative_information_score: 172.7419, mean_absolute_error: 0.4743, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6156, predictive_accuracy: 0.6154, prior_entropy: 1, recall: 0.6154, relative_absolute_error: 0.9486, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4833, root_relative_squared_error: 0.9666, scimark_benchmark: 1797.803, usercpu_time_millis: 21.647, usercpu_time_millis_testing: 0.575, usercpu_time_millis_training: 21.072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6712, f_measure: 0.6149, kappa: 0.23, kb_relative_information_score: 203.0721, mean_absolute_error: 0.4694, 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: 0.9388, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4816, root_relative_squared_error: 0.9632, scimark_benchmark: 1797.2973, usercpu_time_millis: 12.16, usercpu_time_millis_testing: 0.292, usercpu_time_millis_training: 11.868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7463, f_measure: 0.6673, kappa: 0.3362, kb_relative_information_score: 244.4117, mean_absolute_error: 0.4636, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6696, predictive_accuracy: 0.6681, prior_entropy: 1, recall: 0.6681, relative_absolute_error: 0.9272, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4695, root_relative_squared_error: 0.939, scimark_benchmark: 1797.2389, usercpu_time_millis: 7.264, usercpu_time_millis_testing: 0.348, usercpu_time_millis_training: 6.916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8762, f_measure: 0.7977, kappa: 0.5954, kb_relative_information_score: 927.437, mean_absolute_error: 0.3409, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7977, predictive_accuracy: 0.7977, prior_entropy: 1, recall: 0.7977, relative_absolute_error: 0.6819, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3906, root_relative_squared_error: 0.7811, scimark_benchmark: 2117.6894, usercpu_time_millis: 11.878, usercpu_time_millis_testing: 0.221, usercpu_time_millis_training: 11.657,
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: 1720.4927, usercpu_time_millis: 4.233, usercpu_time_millis_testing: 0.593, usercpu_time_millis_training: 3.64,
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: 1772.982, usercpu_time_millis: 3.845, usercpu_time_millis_testing: 0.483, usercpu_time_millis_training: 3.362,
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: 1765.7301, usercpu_time_millis: 3.766, usercpu_time_millis_testing: 0.453, usercpu_time_millis_training: 3.313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9003, f_measure: 0.8307, kappa: 0.6615, kb_relative_information_score: 948.805, mean_absolute_error: 0.3414, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8311, predictive_accuracy: 0.8308, prior_entropy: 1, recall: 0.8308, relative_absolute_error: 0.6827, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3792, root_relative_squared_error: 0.7585, scimark_benchmark: 1721.0517, usercpu_time_millis: 1290.971, usercpu_time_millis_testing: 2.506, usercpu_time_millis_training: 1288.465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.843, f_measure: 0.7479, kappa: 0.4985, kb_relative_information_score: 599.6365, mean_absolute_error: 0.4037, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7544, predictive_accuracy: 0.7492, prior_entropy: 1, recall: 0.7492, relative_absolute_error: 0.8073, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4256, root_relative_squared_error: 0.8511, scimark_benchmark: 1730.2744, usercpu_time_millis: 191.845, usercpu_time_millis_testing: 0.945, usercpu_time_millis_training: 190.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7292, f_measure: 0.6501, kappa: 0.3008, kb_relative_information_score: 162.8441, mean_absolute_error: 0.4764, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6508, predictive_accuracy: 0.6504, prior_entropy: 1, recall: 0.6504, relative_absolute_error: 0.9529, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4793, root_relative_squared_error: 0.9586, scimark_benchmark: 1725.8947, usercpu_time_millis: 41.546, usercpu_time_millis_testing: 2.086, usercpu_time_millis_training: 39.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6928, f_measure: 0.6295, kappa: 0.2592, kb_relative_information_score: 88.5911, mean_absolute_error: 0.4876, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6298, predictive_accuracy: 0.6296, prior_entropy: 1, recall: 0.6296, relative_absolute_error: 0.9751, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4887, root_relative_squared_error: 0.9774, scimark_benchmark: 1734.8643, usercpu_time_millis: 37.277, usercpu_time_millis_testing: 2.048, usercpu_time_millis_training: 35.229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6832, f_measure: 0.6245, kappa: 0.2492, kb_relative_information_score: 80.6111, mean_absolute_error: 0.4887, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6248, predictive_accuracy: 0.6246, prior_entropy: 1, recall: 0.6246, relative_absolute_error: 0.9774, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4898, root_relative_squared_error: 0.9796, scimark_benchmark: 1747.7585, usercpu_time_millis: 23.797, usercpu_time_millis_testing: 1.634, usercpu_time_millis_training: 22.163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6863, f_measure: 0.6196, kappa: 0.2392, kb_relative_information_score: 73.5099, mean_absolute_error: 0.4897, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6197, predictive_accuracy: 0.6196, prior_entropy: 1, recall: 0.6196, relative_absolute_error: 0.9795, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4906, root_relative_squared_error: 0.9812, scimark_benchmark: 1758.4394, usercpu_time_millis: 19.732, usercpu_time_millis_testing: 1.446, usercpu_time_millis_training: 18.286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7353, f_measure: 0.6631, kappa: 0.3269, kb_relative_information_score: 178.3956, mean_absolute_error: 0.4741, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6642, predictive_accuracy: 0.6635, prior_entropy: 1, recall: 0.6635, relative_absolute_error: 0.9482, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4774, root_relative_squared_error: 0.9547, scimark_benchmark: 1721.44, usercpu_time_millis: 16.449, usercpu_time_millis_testing: 0.775, usercpu_time_millis_training: 15.674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8017, f_measure: 0.7303, kappa: 0.4631, kb_relative_information_score: 547.8982, mean_absolute_error: 0.4113, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7359, predictive_accuracy: 0.7315, prior_entropy: 1, recall: 0.7315, relative_absolute_error: 0.8226, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4365, root_relative_squared_error: 0.8729, scimark_benchmark: 1741.715, usercpu_time_millis: 33.515, usercpu_time_millis_testing: 0.311, usercpu_time_millis_training: 33.204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.708, f_measure: 0.6495, kappa: 0.2992, kb_relative_information_score: 165.8335, mean_absolute_error: 0.4758, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6498, predictive_accuracy: 0.6496, prior_entropy: 1, recall: 0.6496, relative_absolute_error: 0.9516, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4796, root_relative_squared_error: 0.9592, scimark_benchmark: 1761.2342, usercpu_time_millis: 14.298, usercpu_time_millis_testing: 1.052, usercpu_time_millis_training: 13.246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6665, f_measure: 0.6073, kappa: 0.2146, kb_relative_information_score: 39.2578, mean_absolute_error: 0.4946, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6073, predictive_accuracy: 0.6073, prior_entropy: 1, recall: 0.6073, relative_absolute_error: 0.9892, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4949, root_relative_squared_error: 0.9898, scimark_benchmark: 2016.6807, usercpu_time_millis: 7.24, usercpu_time_millis_testing: 0.911, usercpu_time_millis_training: 6.329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9022, f_measure: 0.8315, kappa: 0.6631, kb_relative_information_score: 980.2369, mean_absolute_error: 0.3356, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.832, predictive_accuracy: 0.8315, prior_entropy: 1, recall: 0.8315, relative_absolute_error: 0.6712, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3755, root_relative_squared_error: 0.7509, scimark_benchmark: 1908.108, usercpu_time_millis: 779.403, usercpu_time_millis_testing: 1.457, usercpu_time_millis_training: 777.946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7961, f_measure: 0.7254, kappa: 0.4554, kb_relative_information_score: 524.0481, mean_absolute_error: 0.4155, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7356, predictive_accuracy: 0.7277, prior_entropy: 1, recall: 0.7277, relative_absolute_error: 0.8309, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4391, root_relative_squared_error: 0.8783, scimark_benchmark: 1717.8303, usercpu_time_millis: 463.627, usercpu_time_millis_testing: 1.116, usercpu_time_millis_training: 462.511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.8388, kappa: 0.6777, kb_relative_information_score: 952.8682, mean_absolute_error: 0.3412, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8392, predictive_accuracy: 0.8388, prior_entropy: 1, recall: 0.8388, relative_absolute_error: 0.6824, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3771, root_relative_squared_error: 0.7542, scimark_benchmark: 1717.4383, usercpu_time_millis: 726.665, usercpu_time_millis_testing: 2.554, usercpu_time_millis_training: 724.111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8774, f_measure: 0.789, kappa: 0.5792, kb_relative_information_score: 698.2714, mean_absolute_error: 0.3874, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7928, predictive_accuracy: 0.7896, prior_entropy: 1, recall: 0.7896, relative_absolute_error: 0.7747, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4103, root_relative_squared_error: 0.8207, scimark_benchmark: 1722.2536, usercpu_time_millis: 686.934, usercpu_time_millis_testing: 3.686, usercpu_time_millis_training: 683.248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8231, f_measure: 0.7386, kappa: 0.4792, kb_relative_information_score: 602.1115, mean_absolute_error: 0.4016, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7434, predictive_accuracy: 0.7396, prior_entropy: 1, recall: 0.7396, relative_absolute_error: 0.8031, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4284, root_relative_squared_error: 0.8567, scimark_benchmark: 1716.0899, usercpu_time_millis: 214.619, usercpu_time_millis_testing: 1.094, usercpu_time_millis_training: 213.525,

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