Task
Supervised Classification on autoUniv-au6-750

Supervised Classification on autoUniv-au6-750

Task 9904 Supervised Classification autoUniv-au6-750 551 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5279, f_measure: 0.1862, kappa: 0.0489, kb_relative_information_score: 87.0581, mean_absolute_error: 0.2048, mean_prior_absolute_error: 0.2137, number_of_instances: 750, precision: 0.1865, predictive_accuracy: 0.1867, prior_entropy: 2.8958, recall: 0.1867, relative_absolute_error: 0.958, root_mean_prior_squared_error: 0.3269, root_mean_squared_error: 0.4285, root_relative_squared_error: 1.311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.519, f_measure: 0.1871, kappa: 0.0513, kb_relative_information_score: 66.8163, mean_absolute_error: 0.211, mean_prior_absolute_error: 0.2137, number_of_instances: 750, precision: 0.1768, predictive_accuracy: 0.208, prior_entropy: 2.8958, recall: 0.208, relative_absolute_error: 0.9871, root_mean_prior_squared_error: 0.3269, root_mean_squared_error: 0.3412, root_relative_squared_error: 1.0438, scimark_benchmark: 1248.2165, usercpu_time_millis: 60, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4731, f_measure: 0.1296, kappa: 0.0131, kb_relative_information_score: 18.0783, mean_absolute_error: 0.2139, mean_prior_absolute_error: 0.2137, number_of_instances: 750, precision: 0.0919, predictive_accuracy: 0.2213, prior_entropy: 2.8958, recall: 0.2213, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.3269, root_mean_squared_error: 0.328, root_relative_squared_error: 1.0034, scimark_benchmark: 1241.5236, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.519, f_measure: 0.1871, kappa: 0.0513, kb_relative_information_score: 66.8163, mean_absolute_error: 0.211, mean_prior_absolute_error: 0.2137, number_of_instances: 750, precision: 0.1768, predictive_accuracy: 0.208, prior_entropy: 2.8958, recall: 0.208, relative_absolute_error: 0.9871, root_mean_prior_squared_error: 0.3269, root_mean_squared_error: 0.3412, root_relative_squared_error: 1.0438, scimark_benchmark: 1230.3004, usercpu_time_millis: 60, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4798, f_measure: 0.1259, kappa: 0.0063, kb_relative_information_score: 25.7093, mean_absolute_error: 0.2125, mean_prior_absolute_error: 0.2137, number_of_instances: 750, precision: 0.1009, predictive_accuracy: 0.196, prior_entropy: 2.8958, recall: 0.196, relative_absolute_error: 0.9941, root_mean_prior_squared_error: 0.3269, root_mean_squared_error: 0.3265, root_relative_squared_error: 0.9989, scimark_benchmark: 479.2609, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5095, f_measure: 0.1251, kappa: 0.0161, kb_relative_information_score: 15.0163, mean_absolute_error: 0.2129, mean_prior_absolute_error: 0.2137, number_of_instances: 750, precision: 0.1695, predictive_accuracy: 0.224, prior_entropy: 2.8958, recall: 0.224, relative_absolute_error: 0.9961, root_mean_prior_squared_error: 0.3269, root_mean_squared_error: 0.3294, root_relative_squared_error: 1.0079, scimark_benchmark: 473.1656, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5057, f_measure: 0.1716, kappa: 0.0325, kb_relative_information_score: 59.292, mean_absolute_error: 0.2121, mean_prior_absolute_error: 0.2137, number_of_instances: 750, precision: 0.1613, predictive_accuracy: 0.196, prior_entropy: 2.8958, recall: 0.196, relative_absolute_error: 0.9924, root_mean_prior_squared_error: 0.3269, root_mean_squared_error: 0.3382, root_relative_squared_error: 1.0348, scimark_benchmark: 1254.1389, usercpu_time_millis: 310, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5279, f_measure: 0.1862, kappa: 0.0489, kb_relative_information_score: 87.0581, mean_absolute_error: 0.2048, mean_prior_absolute_error: 0.2137, number_of_instances: 750, precision: 0.1865, predictive_accuracy: 0.1867, prior_entropy: 2.8958, recall: 0.1867, relative_absolute_error: 0.958, root_mean_prior_squared_error: 0.3269, root_mean_squared_error: 0.4285, root_relative_squared_error: 1.311, scimark_benchmark: 473.1656, usercpu_time_millis: 370, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5071, f_measure: 0.1567, kappa: 0.0129, kb_relative_information_score: 60.35, mean_absolute_error: 0.2098, mean_prior_absolute_error: 0.2137, number_of_instances: 750, precision: 0.1536, predictive_accuracy: 0.1613, prior_entropy: 2.8958, recall: 0.1613, relative_absolute_error: 0.9814, root_mean_prior_squared_error: 0.3269, root_mean_squared_error: 0.4552, root_relative_squared_error: 1.3927, scimark_benchmark: 473.1656, usercpu_time_millis: 700, usercpu_time_millis_testing: 700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5186, f_measure: 0.1798, kappa: 0.0381, kb_relative_information_score: 90.1511, mean_absolute_error: 0.2048, mean_prior_absolute_error: 0.2137, number_of_instances: 750, precision: 0.1763, predictive_accuracy: 0.1853, prior_entropy: 2.8958, recall: 0.1853, relative_absolute_error: 0.9582, root_mean_prior_squared_error: 0.3269, root_mean_squared_error: 0.4116, root_relative_squared_error: 1.2591, scimark_benchmark: 1237.8253, usercpu_time_millis: 11800, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 11780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5423, f_measure: 0.1495, kappa: 0.0482, kb_relative_information_score: 102.8875, mean_absolute_error: 0.1951, mean_prior_absolute_error: 0.2137, number_of_instances: 750, precision: 0.1195, predictive_accuracy: 0.248, prior_entropy: 2.8958, recall: 0.248, relative_absolute_error: 0.913, root_mean_prior_squared_error: 0.3269, root_mean_squared_error: 0.3645, root_relative_squared_error: 1.1152, scimark_benchmark: 1230.5358, usercpu_time_millis: 1150, usercpu_time_millis_testing: 1140, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6249, f_measure: 0.2354, kappa: 0.1461, kb_relative_information_score: 103.0359, mean_absolute_error: 0.2003, mean_prior_absolute_error: 0.2137, number_of_instances: 750, precision: 0.2185, predictive_accuracy: 0.3093, prior_entropy: 2.8958, recall: 0.3093, relative_absolute_error: 0.9372, root_mean_prior_squared_error: 0.3269, root_mean_squared_error: 0.3198, root_relative_squared_error: 0.9784, scimark_benchmark: 1219.9089, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5071, f_measure: 0.1567, kappa: 0.0129, kb_relative_information_score: 60.35, mean_absolute_error: 0.2098, mean_prior_absolute_error: 0.2137, number_of_instances: 750, precision: 0.1536, predictive_accuracy: 0.1613, prior_entropy: 2.8958, recall: 0.1613, relative_absolute_error: 0.9814, root_mean_prior_squared_error: 0.3269, root_mean_squared_error: 0.4552, root_relative_squared_error: 1.3927, scimark_benchmark: 1182.2372, usercpu_time_millis: 190, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, f_measure: 0.0811, kappa: -0.0031, kb_relative_information_score: 45.3454, mean_absolute_error: 0.2115, mean_prior_absolute_error: 0.2137, number_of_instances: 750, precision: 0.0729, predictive_accuracy: 0.2173, prior_entropy: 2.8958, recall: 0.2173, relative_absolute_error: 0.9893, root_mean_prior_squared_error: 0.3269, root_mean_squared_error: 0.3298, root_relative_squared_error: 1.009, scimark_benchmark: 1248.9568, usercpu_time_millis: 1240, usercpu_time_millis_testing: 870, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5055, f_measure: 0.0659, kappa: -0.0019, kb_relative_information_score: 27.3039, mean_absolute_error: 0.2125, mean_prior_absolute_error: 0.2137, number_of_instances: 750, precision: 0.0396, predictive_accuracy: 0.1973, prior_entropy: 2.8958, recall: 0.1973, relative_absolute_error: 0.9941, root_mean_prior_squared_error: 0.3269, root_mean_squared_error: 0.3283, root_relative_squared_error: 1.0042, scimark_benchmark: 1246.0383, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5023, f_measure: 0.1126, kappa: 0.0048, kb_relative_information_score: 87.4767, mean_absolute_error: 0.1947, mean_prior_absolute_error: 0.2137, number_of_instances: 750, precision: 0.0976, predictive_accuracy: 0.2213, prior_entropy: 2.8958, recall: 0.2213, relative_absolute_error: 0.9107, root_mean_prior_squared_error: 0.3269, root_mean_squared_error: 0.4412, root_relative_squared_error: 1.3498, usercpu_time_millis: 3.592, usercpu_time_millis_testing: 0.31, usercpu_time_millis_training: 3.282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0793, kb_relative_information_score: 85.8156, mean_absolute_error: 0.195, mean_prior_absolute_error: 0.2137, number_of_instances: 750, precision: 0.0484, predictive_accuracy: 0.22, prior_entropy: 2.8958, recall: 0.22, relative_absolute_error: 0.9123, root_mean_prior_squared_error: 0.3269, root_mean_squared_error: 0.4416, root_relative_squared_error: 1.3509, usercpu_time_millis: 1.103, usercpu_time_millis_testing: 0.143, usercpu_time_millis_training: 0.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5212, f_measure: 0.1539, kappa: 0.0425, kb_relative_information_score: 103.0325, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.2137, number_of_instances: 750, precision: 0.1213, predictive_accuracy: 0.24, prior_entropy: 2.8958, recall: 0.24, relative_absolute_error: 0.8889, root_mean_prior_squared_error: 0.3269, root_mean_squared_error: 0.4359, root_relative_squared_error: 1.3335, usercpu_time_millis: 4.909, usercpu_time_millis_testing: 0.054, usercpu_time_millis_training: 4.855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.516, f_measure: 0.1505, kappa: 0.0315, kb_relative_information_score: 94.516, mean_absolute_error: 0.1933, mean_prior_absolute_error: 0.2137, number_of_instances: 750, precision: 0.1424, predictive_accuracy: 0.2267, prior_entropy: 2.8958, recall: 0.2267, relative_absolute_error: 0.9045, root_mean_prior_squared_error: 0.3269, root_mean_squared_error: 0.4397, root_relative_squared_error: 1.3452, usercpu_time_millis: 2.904, usercpu_time_millis_testing: 0.439, usercpu_time_millis_training: 2.465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5071, f_measure: 0.1567, kappa: 0.0129, kb_relative_information_score: 60.512, mean_absolute_error: 0.2097, mean_prior_absolute_error: 0.2137, number_of_instances: 750, precision: 0.1536, predictive_accuracy: 0.1613, prior_entropy: 2.8958, recall: 0.1613, relative_absolute_error: 0.9809, root_mean_prior_squared_error: 0.3269, root_mean_squared_error: 0.4579, root_relative_squared_error: 1.4008, usercpu_time_millis: 2.664, usercpu_time_millis_testing: 0.739, usercpu_time_millis_training: 1.925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5263, f_measure: 0.1554, kappa: 0.0536, kb_relative_information_score: 111.895, mean_absolute_error: 0.1863, mean_prior_absolute_error: 0.2137, number_of_instances: 750, precision: 0.1695, predictive_accuracy: 0.2547, prior_entropy: 2.8958, recall: 0.2547, relative_absolute_error: 0.8718, root_mean_prior_squared_error: 0.3269, root_mean_squared_error: 0.4317, root_relative_squared_error: 1.3206, usercpu_time_millis: 93.926, usercpu_time_millis_testing: 3.264, usercpu_time_millis_training: 90.662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5261, f_measure: 0.1862, kappa: 0.0489, kb_relative_information_score: 80.3207, mean_absolute_error: 0.2033, mean_prior_absolute_error: 0.2137, number_of_instances: 750, precision: 0.1865, predictive_accuracy: 0.1867, prior_entropy: 2.8958, recall: 0.1867, relative_absolute_error: 0.9513, root_mean_prior_squared_error: 0.3269, root_mean_squared_error: 0.4509, root_relative_squared_error: 1.3795, usercpu_time_millis: 2.429, usercpu_time_millis_testing: 0.624, usercpu_time_millis_training: 1.805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5256, f_measure: 0.1637, kappa: 0.0524, kb_relative_information_score: 111.5959, mean_absolute_error: 0.1863, mean_prior_absolute_error: 0.2137, number_of_instances: 750, precision: 0.2046, predictive_accuracy: 0.2547, prior_entropy: 2.8958, recall: 0.2547, relative_absolute_error: 0.8718, root_mean_prior_squared_error: 0.3269, root_mean_squared_error: 0.4317, root_relative_squared_error: 1.3206, usercpu_time_millis: 4.871, usercpu_time_millis_testing: 0.513, usercpu_time_millis_training: 4.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5078, f_measure: 0.1583, kappa: 0.0144, kb_relative_information_score: 61.9379, mean_absolute_error: 0.2093, mean_prior_absolute_error: 0.2137, number_of_instances: 750, precision: 0.1551, predictive_accuracy: 0.1627, prior_entropy: 2.8958, recall: 0.1627, relative_absolute_error: 0.9794, root_mean_prior_squared_error: 0.3269, root_mean_squared_error: 0.4575, root_relative_squared_error: 1.3997, usercpu_time_millis: 0.432, usercpu_time_millis_testing: 0.416, usercpu_time_millis_training: 0.016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5114, f_measure: 0.1356, kappa: 0.0232, kb_relative_information_score: 94.7645, mean_absolute_error: 0.1927, mean_prior_absolute_error: 0.2137, number_of_instances: 750, precision: 0.0967, predictive_accuracy: 0.2293, prior_entropy: 2.8958, recall: 0.2293, relative_absolute_error: 0.9014, root_mean_prior_squared_error: 0.3269, root_mean_squared_error: 0.4389, root_relative_squared_error: 1.3428, usercpu_time_millis: 2.494, usercpu_time_millis_testing: 0.717, usercpu_time_millis_training: 1.777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5706, f_measure: 0.2231, kappa: 0.1429, kb_relative_information_score: 158.7426, mean_absolute_error: 0.171, mean_prior_absolute_error: 0.2137, number_of_instances: 750, precision: 0.2351, predictive_accuracy: 0.316, prior_entropy: 2.8958, recall: 0.316, relative_absolute_error: 0.8, root_mean_prior_squared_error: 0.3269, root_mean_squared_error: 0.4135, root_relative_squared_error: 1.2651, usercpu_time_millis: 267.841, usercpu_time_millis_testing: 7.093, usercpu_time_millis_training: 260.748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5185, f_measure: 0.1746, kappa: 0.0358, kb_relative_information_score: 83.8197, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.2137, number_of_instances: 750, precision: 0.1644, predictive_accuracy: 0.2, prior_entropy: 2.8958, recall: 0.2, relative_absolute_error: 0.9357, root_mean_prior_squared_error: 0.3269, root_mean_squared_error: 0.4472, root_relative_squared_error: 1.3682, usercpu_time_millis: 0.392, usercpu_time_millis_testing: 0.054, usercpu_time_millis_training: 0.338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.513, f_measure: 0.1682, kappa: 0.025, kb_relative_information_score: 75.3195, mean_absolute_error: 0.2033, mean_prior_absolute_error: 0.2137, number_of_instances: 750, precision: 0.1609, predictive_accuracy: 0.1867, prior_entropy: 2.8958, recall: 0.1867, relative_absolute_error: 0.9513, root_mean_prior_squared_error: 0.3269, root_mean_squared_error: 0.4509, root_relative_squared_error: 1.3795, usercpu_time_millis: 2.785, usercpu_time_millis_testing: 0.061, usercpu_time_millis_training: 2.724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5135, f_measure: 0.1669, kappa: 0.0259, kb_relative_information_score: 77.5696, mean_absolute_error: 0.202, mean_prior_absolute_error: 0.2137, number_of_instances: 750, precision: 0.1604, predictive_accuracy: 0.192, prior_entropy: 2.8958, recall: 0.192, relative_absolute_error: 0.9451, root_mean_prior_squared_error: 0.3269, root_mean_squared_error: 0.4494, root_relative_squared_error: 1.375, usercpu_time_millis: 5.716, usercpu_time_millis_testing: 0.075, usercpu_time_millis_training: 5.641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4929, f_measure: 0.081, kappa: -0.0143, kb_relative_information_score: 77.9722, mean_absolute_error: 0.198, mean_prior_absolute_error: 0.2137, number_of_instances: 750, precision: 0.0603, predictive_accuracy: 0.208, prior_entropy: 2.8958, recall: 0.208, relative_absolute_error: 0.9263, root_mean_prior_squared_error: 0.3269, root_mean_squared_error: 0.445, root_relative_squared_error: 1.3613, usercpu_time_millis: 0.623, usercpu_time_millis_testing: 0.066, usercpu_time_millis_training: 0.557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.527, f_measure: 0.1877, kappa: 0.0522, kb_relative_information_score: 91.596, mean_absolute_error: 0.1977, mean_prior_absolute_error: 0.2137, number_of_instances: 750, precision: 0.1774, predictive_accuracy: 0.2093, prior_entropy: 2.8958, recall: 0.2093, relative_absolute_error: 0.9248, root_mean_prior_squared_error: 0.3269, root_mean_squared_error: 0.4446, root_relative_squared_error: 1.3602, usercpu_time_millis: 1.451, usercpu_time_millis_testing: 1.091, usercpu_time_millis_training: 0.36,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5358, f_measure: 0.1919, kappa: 0.0707, kb_relative_information_score: 109.3892, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.2137, number_of_instances: 750, precision: 0.1822, predictive_accuracy: 0.24, prior_entropy: 2.8958, recall: 0.24, relative_absolute_error: 0.8889, root_mean_prior_squared_error: 0.3269, root_mean_squared_error: 0.4359, root_relative_squared_error: 1.3335, usercpu_time_millis: 1.305, usercpu_time_millis_testing: 0.492, usercpu_time_millis_training: 0.813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.524, f_measure: 0.1826, kappa: 0.045, kb_relative_information_score: 76.9787, mean_absolute_error: 0.2047, mean_prior_absolute_error: 0.2137, number_of_instances: 750, precision: 0.1845, predictive_accuracy: 0.1813, prior_entropy: 2.8958, recall: 0.1813, relative_absolute_error: 0.9575, root_mean_prior_squared_error: 0.3269, root_mean_squared_error: 0.4524, root_relative_squared_error: 1.384, usercpu_time_millis: 4.526, usercpu_time_millis_testing: 0.564, usercpu_time_millis_training: 3.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5073, f_measure: 0.1451, kappa: 0.0139, kb_relative_information_score: 82.2994, mean_absolute_error: 0.198, mean_prior_absolute_error: 0.2137, number_of_instances: 750, precision: 0.1267, predictive_accuracy: 0.208, prior_entropy: 2.8958, recall: 0.208, relative_absolute_error: 0.9263, root_mean_prior_squared_error: 0.3269, root_mean_squared_error: 0.445, root_relative_squared_error: 1.3613, usercpu_time_millis: 0.623, usercpu_time_millis_testing: 0.116, usercpu_time_millis_training: 0.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5393, f_measure: 0.1812, kappa: 0.0797, kb_relative_information_score: 124.3719, mean_absolute_error: 0.1827, mean_prior_absolute_error: 0.2137, number_of_instances: 750, precision: 0.2057, predictive_accuracy: 0.2693, prior_entropy: 2.8958, recall: 0.2693, relative_absolute_error: 0.8546, root_mean_prior_squared_error: 0.3269, root_mean_squared_error: 0.4274, root_relative_squared_error: 1.3075, usercpu_time_millis: 13.677, usercpu_time_millis_testing: 0.272, usercpu_time_millis_training: 13.405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5301, f_measure: 0.1688, kappa: 0.0611, kb_relative_information_score: 113.9549, mean_absolute_error: 0.1863, mean_prior_absolute_error: 0.2137, number_of_instances: 750, precision: 0.1719, predictive_accuracy: 0.2547, prior_entropy: 2.8958, recall: 0.2547, relative_absolute_error: 0.8718, root_mean_prior_squared_error: 0.3269, root_mean_squared_error: 0.4317, root_relative_squared_error: 1.3206, usercpu_time_millis: 15.177, usercpu_time_millis_testing: 0.505, usercpu_time_millis_training: 14.672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5455, f_measure: 0.1869, kappa: 0.0921, kb_relative_information_score: 130.8328, mean_absolute_error: 0.1803, mean_prior_absolute_error: 0.2137, number_of_instances: 750, precision: 0.1586, predictive_accuracy: 0.2787, prior_entropy: 2.8958, recall: 0.2787, relative_absolute_error: 0.8437, root_mean_prior_squared_error: 0.3269, root_mean_squared_error: 0.4247, root_relative_squared_error: 1.2991, usercpu_time_millis: 80.567, usercpu_time_millis_testing: 10.016, usercpu_time_millis_training: 70.551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5651, f_measure: 0.2221, kappa: 0.1304, kb_relative_information_score: 147.7209, mean_absolute_error: 0.1763, mean_prior_absolute_error: 0.2137, number_of_instances: 750, precision: 0.2059, predictive_accuracy: 0.2947, prior_entropy: 2.8958, recall: 0.2947, relative_absolute_error: 0.825, root_mean_prior_squared_error: 0.3269, root_mean_squared_error: 0.4199, root_relative_squared_error: 1.2847, usercpu_time_millis: 0.342, usercpu_time_millis_testing: 0.056, usercpu_time_millis_training: 0.286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5165, f_measure: 0.1403, kappa: 0.0333, kb_relative_information_score: 100.0058, mean_absolute_error: 0.1907, mean_prior_absolute_error: 0.2137, number_of_instances: 750, precision: 0.1002, predictive_accuracy: 0.2373, prior_entropy: 2.8958, recall: 0.2373, relative_absolute_error: 0.892, root_mean_prior_squared_error: 0.3269, root_mean_squared_error: 0.4367, root_relative_squared_error: 1.3359, usercpu_time_millis: 2.928, usercpu_time_millis_testing: 0.207, usercpu_time_millis_training: 2.721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5097, f_measure: 0.1331, kappa: 0.0197, kb_relative_information_score: 92.4973, mean_absolute_error: 0.1937, mean_prior_absolute_error: 0.2137, number_of_instances: 750, precision: 0.0945, predictive_accuracy: 0.2253, prior_entropy: 2.8958, recall: 0.2253, relative_absolute_error: 0.9061, root_mean_prior_squared_error: 0.3269, root_mean_squared_error: 0.4401, root_relative_squared_error: 1.3463, usercpu_time_millis: 154.346, usercpu_time_millis_testing: 0.385, usercpu_time_millis_training: 153.961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5495, f_measure: 0.2266, kappa: 0.096, kb_relative_information_score: 114.5751, mean_absolute_error: 0.1917, mean_prior_absolute_error: 0.2137, number_of_instances: 750, precision: 0.2221, predictive_accuracy: 0.2333, prior_entropy: 2.8958, recall: 0.2333, relative_absolute_error: 0.8967, root_mean_prior_squared_error: 0.3269, root_mean_squared_error: 0.4378, root_relative_squared_error: 1.3394, usercpu_time_millis: 11.245, usercpu_time_millis_testing: 0.178, usercpu_time_millis_training: 11.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5553, f_measure: 0.205, kappa: 0.1112, kb_relative_information_score: 137.0451, mean_absolute_error: 0.1807, mean_prior_absolute_error: 0.2137, number_of_instances: 750, precision: 0.1688, predictive_accuracy: 0.2773, prior_entropy: 2.8958, recall: 0.2773, relative_absolute_error: 0.8452, root_mean_prior_squared_error: 0.3269, root_mean_squared_error: 0.425, root_relative_squared_error: 1.3003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5112, f_measure: 0.1488, kappa: 0.0228, kb_relative_information_score: 90.8942, mean_absolute_error: 0.195, mean_prior_absolute_error: 0.2137, number_of_instances: 750, precision: 0.1678, predictive_accuracy: 0.22, prior_entropy: 2.8958, recall: 0.22, relative_absolute_error: 0.9123, root_mean_prior_squared_error: 0.3269, root_mean_squared_error: 0.4416, root_relative_squared_error: 1.3509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5139, f_measure: 0.17, kappa: 0.0263, kb_relative_information_score: 70.5794, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.2137, number_of_instances: 750, precision: 0.1663, predictive_accuracy: 0.176, prior_entropy: 2.8958, recall: 0.176, relative_absolute_error: 0.9638, root_mean_prior_squared_error: 0.3269, root_mean_squared_error: 0.4539, root_relative_squared_error: 1.3885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5665, f_measure: 0.1918, kappa: 0.063, kb_relative_information_score: 78.9778, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.2137, number_of_instances: 750, precision: 0.1879, predictive_accuracy: 0.2347, prior_entropy: 2.8958, recall: 0.2347, relative_absolute_error: 0.9663, root_mean_prior_squared_error: 0.3269, root_mean_squared_error: 0.3378, root_relative_squared_error: 1.0333, scimark_benchmark: 1188.4863, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5456, f_measure: 0.1602, kappa: 0.0393, kb_relative_information_score: 43.0811, mean_absolute_error: 0.2121, mean_prior_absolute_error: 0.2137, number_of_instances: 750, precision: 0.1485, predictive_accuracy: 0.232, prior_entropy: 2.8958, recall: 0.232, relative_absolute_error: 0.9925, root_mean_prior_squared_error: 0.3269, root_mean_squared_error: 0.3267, root_relative_squared_error: 0.9996, scimark_benchmark: 1234.6096, usercpu_time_millis: 960, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5588, f_measure: 0.1904, kappa: 0.0809, kb_relative_information_score: 58.5351, mean_absolute_error: 0.2048, mean_prior_absolute_error: 0.2137, number_of_instances: 750, precision: 0.3046, predictive_accuracy: 0.276, prior_entropy: 2.8958, recall: 0.276, relative_absolute_error: 0.9583, root_mean_prior_squared_error: 0.3269, root_mean_squared_error: 0.325, root_relative_squared_error: 0.9942, scimark_benchmark: 1277.7837, usercpu_time_millis: 750, usercpu_time_millis_training: 750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.519, f_measure: 0.1871, kappa: 0.0513, kb_relative_information_score: 66.8163, mean_absolute_error: 0.211, mean_prior_absolute_error: 0.2137, number_of_instances: 750, precision: 0.1768, predictive_accuracy: 0.208, prior_entropy: 2.8958, recall: 0.208, relative_absolute_error: 0.9871, root_mean_prior_squared_error: 0.3269, root_mean_squared_error: 0.3412, root_relative_squared_error: 1.0438, scimark_benchmark: 1158.8982, usercpu_time_millis: 80, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Client side error: weka.classifiers.functions.SGD: Cannot handle multi-valued nominal class! Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4895, f_measure: 0.1528, kappa: 0.0119, kb_relative_information_score: 44.3168, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.2137, number_of_instances: 750, precision: 0.1413, predictive_accuracy: 0.1973, prior_entropy: 2.8958, recall: 0.1973, relative_absolute_error: 1.0048, root_mean_prior_squared_error: 0.3269, root_mean_squared_error: 0.3338, root_relative_squared_error: 1.0213, scimark_benchmark: 558.2937, usercpu_time_millis: 690, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5014, f_measure: 0.1553, kappa: 0.0114, kb_relative_information_score: 81.1743, mean_absolute_error: 0.2127, mean_prior_absolute_error: 0.2137, number_of_instances: 750, precision: 0.1526, predictive_accuracy: 0.1707, prior_entropy: 2.8958, recall: 0.1707, relative_absolute_error: 0.995, root_mean_prior_squared_error: 0.3269, root_mean_squared_error: 0.3577, root_relative_squared_error: 1.0944, scimark_benchmark: 1028.1772, usercpu_time_millis: 450, usercpu_time_millis_testing: 450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5066, f_measure: 0.1627, kappa: 0.0191, kb_relative_information_score: 64.3972, mean_absolute_error: 0.2123, mean_prior_absolute_error: 0.2137, number_of_instances: 750, precision: 0.1579, predictive_accuracy: 0.1893, prior_entropy: 2.8958, recall: 0.1893, relative_absolute_error: 0.9931, root_mean_prior_squared_error: 0.3269, root_mean_squared_error: 0.3416, root_relative_squared_error: 1.045, scimark_benchmark: 1292.6482, usercpu_time_millis: 350, usercpu_time_millis_testing: 340, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4733, f_measure: 0.1217, kappa: -0.0072, kb_relative_information_score: 24.8524, mean_absolute_error: 0.214, mean_prior_absolute_error: 0.2137, number_of_instances: 750, precision: 0.0894, predictive_accuracy: 0.2013, prior_entropy: 2.8958, recall: 0.2013, relative_absolute_error: 1.0013, root_mean_prior_squared_error: 0.3269, root_mean_squared_error: 0.3292, root_relative_squared_error: 1.007, scimark_benchmark: 1326.7833, usercpu_time_millis: 70, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4733, f_measure: 0.1305, kappa: 0.015, kb_relative_information_score: 17.2043, mean_absolute_error: 0.2139, mean_prior_absolute_error: 0.2137, number_of_instances: 750, precision: 0.0925, predictive_accuracy: 0.2227, prior_entropy: 2.8958, recall: 0.2227, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.3269, root_mean_squared_error: 0.3279, root_relative_squared_error: 1.0031, scimark_benchmark: 804.6342, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4728, f_measure: 0.1299, kappa: 0.005, kb_relative_information_score: 24.8945, mean_absolute_error: 0.2141, mean_prior_absolute_error: 0.2137, number_of_instances: 750, precision: 0.0979, predictive_accuracy: 0.2093, prior_entropy: 2.8958, recall: 0.2093, relative_absolute_error: 1.0016, root_mean_prior_squared_error: 0.3269, root_mean_squared_error: 0.3292, root_relative_squared_error: 1.007, scimark_benchmark: 1038.1117, usercpu_time_millis: 90, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4735, f_measure: 0.1254, kappa: 0.0078, kb_relative_information_score: 13.6071, mean_absolute_error: 0.2139, mean_prior_absolute_error: 0.2137, number_of_instances: 750, precision: 0.0895, predictive_accuracy: 0.2187, prior_entropy: 2.8958, recall: 0.2187, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.3269, root_mean_squared_error: 0.3278, root_relative_squared_error: 1.0029, scimark_benchmark: 1164.7565, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4764, f_measure: 0.1079, kappa: -0.011, kb_relative_information_score: 13.0965, mean_absolute_error: 0.214, mean_prior_absolute_error: 0.2137, number_of_instances: 750, precision: 0.0808, predictive_accuracy: 0.204, prior_entropy: 2.8958, recall: 0.204, relative_absolute_error: 1.0013, root_mean_prior_squared_error: 0.3269, root_mean_squared_error: 0.3281, root_relative_squared_error: 1.0038, scimark_benchmark: 1130.9537, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Client side error: weka.classifiers.functions.SGD: Cannot handle multi-valued nominal class! Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4733, f_measure: 0.1217, kappa: -0.0072, kb_relative_information_score: 24.8524, mean_absolute_error: 0.214, mean_prior_absolute_error: 0.2137, number_of_instances: 750, precision: 0.0894, predictive_accuracy: 0.2013, prior_entropy: 2.8958, recall: 0.2013, relative_absolute_error: 1.0013, root_mean_prior_squared_error: 0.3269, root_mean_squared_error: 0.3292, root_relative_squared_error: 1.007, scimark_benchmark: 845.4238, usercpu_time_millis: 70, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4733, f_measure: 0.1217, kappa: -0.0072, kb_relative_information_score: 24.8524, mean_absolute_error: 0.214, mean_prior_absolute_error: 0.2137, number_of_instances: 750, precision: 0.0894, predictive_accuracy: 0.2013, prior_entropy: 2.8958, recall: 0.2013, relative_absolute_error: 1.0013, root_mean_prior_squared_error: 0.3269, root_mean_squared_error: 0.3292, root_relative_squared_error: 1.007, scimark_benchmark: 1173.0135, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5039, f_measure: 0.1459, kappa: 0.0069, kb_relative_information_score: 83.4414, mean_absolute_error: 0.2127, mean_prior_absolute_error: 0.2137, number_of_instances: 750, precision: 0.1449, predictive_accuracy: 0.164, prior_entropy: 2.8958, recall: 0.164, relative_absolute_error: 0.9951, root_mean_prior_squared_error: 0.3269, root_mean_squared_error: 0.398, root_relative_squared_error: 1.2175, scimark_benchmark: 1132.8864, usercpu_time_millis: 360, usercpu_time_millis_testing: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4733, f_measure: 0.1217, kappa: -0.0072, kb_relative_information_score: 24.8524, mean_absolute_error: 0.214, mean_prior_absolute_error: 0.2137, number_of_instances: 750, precision: 0.0894, predictive_accuracy: 0.2013, prior_entropy: 2.8958, recall: 0.2013, relative_absolute_error: 1.0013, root_mean_prior_squared_error: 0.3269, root_mean_squared_error: 0.3292, root_relative_squared_error: 1.007, scimark_benchmark: 1068.7158, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5061, f_measure: 0.1216, kappa: 0.007, kb_relative_information_score: 32.6056, mean_absolute_error: 0.2139, mean_prior_absolute_error: 0.2137, number_of_instances: 750, precision: 0.0914, predictive_accuracy: 0.2107, prior_entropy: 2.8958, recall: 0.2107, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.3269, root_mean_squared_error: 0.3332, root_relative_squared_error: 1.0194, scimark_benchmark: 997.7958, usercpu_time_millis: 1180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4798, f_measure: 0.1259, kappa: 0.0063, kb_relative_information_score: 25.7093, mean_absolute_error: 0.2125, mean_prior_absolute_error: 0.2137, number_of_instances: 750, precision: 0.1009, predictive_accuracy: 0.196, prior_entropy: 2.8958, recall: 0.196, relative_absolute_error: 0.9941, root_mean_prior_squared_error: 0.3269, root_mean_squared_error: 0.3265, root_relative_squared_error: 0.9989, scimark_benchmark: 847.7513, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4817, f_measure: 0.1256, kappa: 0.0132, kb_relative_information_score: 13.1679, mean_absolute_error: 0.2141, mean_prior_absolute_error: 0.2137, number_of_instances: 750, precision: 0.0915, predictive_accuracy: 0.2227, prior_entropy: 2.8958, recall: 0.2227, relative_absolute_error: 1.0017, root_mean_prior_squared_error: 0.3269, root_mean_squared_error: 0.3276, root_relative_squared_error: 1.0022, scimark_benchmark: 896.227, usercpu_time_millis: 780, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5027, f_measure: 0.1336, kappa: 0.0217, kb_relative_information_score: 45.2437, mean_absolute_error: 0.2121, mean_prior_absolute_error: 0.2137, number_of_instances: 750, precision: 0.145, predictive_accuracy: 0.228, prior_entropy: 2.8958, recall: 0.228, relative_absolute_error: 0.9925, root_mean_prior_squared_error: 0.3269, root_mean_squared_error: 0.3308, root_relative_squared_error: 1.0121, scimark_benchmark: 1375.2487, usercpu_time_millis: 1140, usercpu_time_millis_testing: 750, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5914, f_measure: 0.2183, kappa: 0.1232, kb_relative_information_score: 77.272, mean_absolute_error: 0.2052, mean_prior_absolute_error: 0.2137, number_of_instances: 750, precision: 0.2329, predictive_accuracy: 0.2933, prior_entropy: 2.8958, recall: 0.2933, relative_absolute_error: 0.9602, root_mean_prior_squared_error: 0.3269, root_mean_squared_error: 0.3243, root_relative_squared_error: 0.9921, scimark_benchmark: 944.2477, usercpu_time_millis: 180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4924, f_measure: 0.1474, kappa: 0.0198, kb_relative_information_score: 38.1837, mean_absolute_error: 0.2136, mean_prior_absolute_error: 0.2137, number_of_instances: 750, precision: 0.1897, predictive_accuracy: 0.2187, prior_entropy: 2.8958, recall: 0.2187, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.3269, root_mean_squared_error: 0.3312, root_relative_squared_error: 1.0132, scimark_benchmark: 940.0109, usercpu_time_millis: 540, usercpu_time_millis_testing: 490, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.519, f_measure: 0.1867, kappa: 0.0515, kb_relative_information_score: 67.1442, mean_absolute_error: 0.2108, mean_prior_absolute_error: 0.2137, number_of_instances: 750, precision: 0.1757, predictive_accuracy: 0.2093, prior_entropy: 2.8958, recall: 0.2093, relative_absolute_error: 0.9863, root_mean_prior_squared_error: 0.3269, root_mean_squared_error: 0.3412, root_relative_squared_error: 1.0437, scimark_benchmark: 935.6931, usercpu_time_millis: 100, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.507, f_measure: 0.1314, kappa: 0.0158, kb_relative_information_score: 22.5737, mean_absolute_error: 0.2132, mean_prior_absolute_error: 0.2137, number_of_instances: 750, precision: 0.0937, predictive_accuracy: 0.2227, prior_entropy: 2.8958, recall: 0.2227, relative_absolute_error: 0.9972, root_mean_prior_squared_error: 0.3269, root_mean_squared_error: 0.3274, root_relative_squared_error: 1.0016, scimark_benchmark: 945.8307, usercpu_time_millis: 420, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6318, f_measure: 0.2363, kappa: 0.1463, kb_relative_information_score: 72.0456, mean_absolute_error: 0.2061, mean_prior_absolute_error: 0.2137, number_of_instances: 750, precision: 0.2319, predictive_accuracy: 0.312, prior_entropy: 2.8958, recall: 0.312, relative_absolute_error: 0.9641, root_mean_prior_squared_error: 0.3269, root_mean_squared_error: 0.3198, root_relative_squared_error: 0.9784, scimark_benchmark: 930.1844, usercpu_time_millis: 14720, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 14460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5471, f_measure: 0.1694, kappa: 0.0802, kb_relative_information_score: 24.31, mean_absolute_error: 0.2139, mean_prior_absolute_error: 0.2137, number_of_instances: 750, precision: 0.2563, predictive_accuracy: 0.2787, prior_entropy: 2.8958, recall: 0.2787, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.3269, root_mean_squared_error: 0.3259, root_relative_squared_error: 0.9971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.519, f_measure: 0.1871, kappa: 0.0513, kb_relative_information_score: 66.8163, mean_absolute_error: 0.211, mean_prior_absolute_error: 0.2137, number_of_instances: 750, precision: 0.1768, predictive_accuracy: 0.208, prior_entropy: 2.8958, recall: 0.208, relative_absolute_error: 0.9871, root_mean_prior_squared_error: 0.3269, root_mean_squared_error: 0.3412, root_relative_squared_error: 1.0438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4798, f_measure: 0.1259, kappa: 0.0063, kb_relative_information_score: 25.7093, mean_absolute_error: 0.2125, mean_prior_absolute_error: 0.2137, number_of_instances: 750, precision: 0.1009, predictive_accuracy: 0.196, prior_entropy: 2.8958, recall: 0.196, relative_absolute_error: 0.9941, root_mean_prior_squared_error: 0.3269, root_mean_squared_error: 0.3265, root_relative_squared_error: 0.9989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5358, f_measure: 0.1919, kappa: 0.0707, kb_relative_information_score: 109.3892, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.2137, number_of_instances: 750, precision: 0.1822, predictive_accuracy: 0.24, prior_entropy: 2.8958, recall: 0.24, relative_absolute_error: 0.8889, root_mean_prior_squared_error: 0.3269, root_mean_squared_error: 0.4359, root_relative_squared_error: 1.3335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5095, f_measure: 0.1251, kappa: 0.0161, kb_relative_information_score: 15.0163, mean_absolute_error: 0.2129, mean_prior_absolute_error: 0.2137, number_of_instances: 750, precision: 0.1695, predictive_accuracy: 0.224, prior_entropy: 2.8958, recall: 0.224, relative_absolute_error: 0.9961, root_mean_prior_squared_error: 0.3269, root_mean_squared_error: 0.3294, root_relative_squared_error: 1.0079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.519, f_measure: 0.1871, kappa: 0.0513, kb_relative_information_score: 66.8163, mean_absolute_error: 0.211, mean_prior_absolute_error: 0.2137, number_of_instances: 750, precision: 0.1768, predictive_accuracy: 0.208, prior_entropy: 2.8958, recall: 0.208, relative_absolute_error: 0.9871, root_mean_prior_squared_error: 0.3269, root_mean_squared_error: 0.3412, root_relative_squared_error: 1.0438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4798, f_measure: 0.1259, kappa: 0.0063, kb_relative_information_score: 25.7093, mean_absolute_error: 0.2125, mean_prior_absolute_error: 0.2137, number_of_instances: 750, precision: 0.1009, predictive_accuracy: 0.196, prior_entropy: 2.8958, recall: 0.196, relative_absolute_error: 0.9941, root_mean_prior_squared_error: 0.3269, root_mean_squared_error: 0.3265, root_relative_squared_error: 0.9989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5358, f_measure: 0.1919, kappa: 0.0707, kb_relative_information_score: 109.3892, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.2137, number_of_instances: 750, precision: 0.1822, predictive_accuracy: 0.24, prior_entropy: 2.8958, recall: 0.24, relative_absolute_error: 0.8889, root_mean_prior_squared_error: 0.3269, root_mean_squared_error: 0.4359, root_relative_squared_error: 1.3335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5095, f_measure: 0.1251, kappa: 0.0161, kb_relative_information_score: 15.0163, mean_absolute_error: 0.2129, mean_prior_absolute_error: 0.2137, number_of_instances: 750, precision: 0.1695, predictive_accuracy: 0.224, prior_entropy: 2.8958, recall: 0.224, relative_absolute_error: 0.9961, root_mean_prior_squared_error: 0.3269, root_mean_squared_error: 0.3294, root_relative_squared_error: 1.0079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5665, f_measure: 0.1918, kappa: 0.063, kb_relative_information_score: 78.9778, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.2137, number_of_instances: 750, precision: 0.1879, predictive_accuracy: 0.2347, prior_entropy: 2.8958, recall: 0.2347, relative_absolute_error: 0.9663, root_mean_prior_squared_error: 0.3269, root_mean_squared_error: 0.3378, root_relative_squared_error: 1.0333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4889, f_measure: 0.0793, kb_relative_information_score: 0.6159, mean_absolute_error: 0.2138, mean_prior_absolute_error: 0.2137, number_of_instances: 750, precision: 0.0484, predictive_accuracy: 0.22, prior_entropy: 2.8958, recall: 0.22, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3269, root_mean_squared_error: 0.3269, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, f_measure: 0.1361, kappa: -0.0118, kb_relative_information_score: 45.3806, mean_absolute_error: 0.2157, mean_prior_absolute_error: 0.2137, number_of_instances: 750, precision: 0.1354, predictive_accuracy: 0.1373, prior_entropy: 2.8958, recall: 0.1373, relative_absolute_error: 1.009, root_mean_prior_squared_error: 0.3269, root_mean_squared_error: 0.4644, root_relative_squared_error: 1.4207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5093, f_measure: 0.1424, kappa: 0.0081, kb_relative_information_score: 34.4807, mean_absolute_error: 0.2133, mean_prior_absolute_error: 0.2137, number_of_instances: 750, precision: 0.1822, predictive_accuracy: 0.2093, prior_entropy: 2.8958, recall: 0.2093, relative_absolute_error: 0.9978, root_mean_prior_squared_error: 0.3269, root_mean_squared_error: 0.3291, root_relative_squared_error: 1.0067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.519, f_measure: 0.1871, kappa: 0.0513, kb_relative_information_score: 66.8163, mean_absolute_error: 0.211, mean_prior_absolute_error: 0.2137, number_of_instances: 750, precision: 0.1768, predictive_accuracy: 0.208, prior_entropy: 2.8958, recall: 0.208, relative_absolute_error: 0.9871, root_mean_prior_squared_error: 0.3269, root_mean_squared_error: 0.3412, root_relative_squared_error: 1.0438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5222, f_measure: 0.1826, kappa: 0.045, kb_relative_information_score: 80.5256, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.2137, number_of_instances: 750, precision: 0.1845, predictive_accuracy: 0.1813, prior_entropy: 2.8958, recall: 0.1813, relative_absolute_error: 0.9609, root_mean_prior_squared_error: 0.3269, root_mean_squared_error: 0.435, root_relative_squared_error: 1.3309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5588, f_measure: 0.1904, kappa: 0.0809, kb_relative_information_score: 58.5351, mean_absolute_error: 0.2048, mean_prior_absolute_error: 0.2137, number_of_instances: 750, precision: 0.3046, predictive_accuracy: 0.276, prior_entropy: 2.8958, recall: 0.276, relative_absolute_error: 0.9583, root_mean_prior_squared_error: 0.3269, root_mean_squared_error: 0.325, root_relative_squared_error: 0.9942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4889, f_measure: 0.0793, kb_relative_information_score: 0.6159, mean_absolute_error: 0.2138, mean_prior_absolute_error: 0.2137, number_of_instances: 750, precision: 0.0484, predictive_accuracy: 0.22, prior_entropy: 2.8958, recall: 0.22, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3269, root_mean_squared_error: 0.3269, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4733, f_measure: 0.1296, kappa: 0.0131, kb_relative_information_score: 18.2489, mean_absolute_error: 0.2139, mean_prior_absolute_error: 0.2137, number_of_instances: 750, precision: 0.0919, predictive_accuracy: 0.2213, prior_entropy: 2.8958, recall: 0.2213, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.3269, root_mean_squared_error: 0.328, root_relative_squared_error: 1.0034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4731, f_measure: 0.1296, kappa: 0.0131, kb_relative_information_score: 18.365, mean_absolute_error: 0.2139, mean_prior_absolute_error: 0.2137, number_of_instances: 750, precision: 0.0919, predictive_accuracy: 0.2213, prior_entropy: 2.8958, recall: 0.2213, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.3269, root_mean_squared_error: 0.328, root_relative_squared_error: 1.0035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4731, f_measure: 0.1296, kappa: 0.0131, kb_relative_information_score: 18.0783, mean_absolute_error: 0.2139, mean_prior_absolute_error: 0.2137, number_of_instances: 750, precision: 0.0919, predictive_accuracy: 0.2213, prior_entropy: 2.8958, recall: 0.2213, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.3269, root_mean_squared_error: 0.328, root_relative_squared_error: 1.0034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5068, f_measure: 0.1595, kappa: 0.0154, kb_relative_information_score: 57.8036, mean_absolute_error: 0.2103, mean_prior_absolute_error: 0.2137, number_of_instances: 750, precision: 0.1511, predictive_accuracy: 0.176, prior_entropy: 2.8958, recall: 0.176, relative_absolute_error: 0.9841, root_mean_prior_squared_error: 0.3269, root_mean_squared_error: 0.352, root_relative_squared_error: 1.0769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, f_measure: 0.0793, kb_relative_information_score: 44.9925, mean_absolute_error: 0.2115, mean_prior_absolute_error: 0.2137, number_of_instances: 750, precision: 0.0484, predictive_accuracy: 0.22, prior_entropy: 2.8958, recall: 0.22, relative_absolute_error: 0.9894, root_mean_prior_squared_error: 0.3269, root_mean_squared_error: 0.3298, root_relative_squared_error: 1.0091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5071, f_measure: 0.1567, kappa: 0.0129, kb_relative_information_score: 60.512, mean_absolute_error: 0.2097, mean_prior_absolute_error: 0.2137, number_of_instances: 750, precision: 0.1536, predictive_accuracy: 0.1613, prior_entropy: 2.8958, recall: 0.1613, relative_absolute_error: 0.9809, root_mean_prior_squared_error: 0.3269, root_mean_squared_error: 0.4579, root_relative_squared_error: 1.4008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0793, kb_relative_information_score: 85.8156, mean_absolute_error: 0.195, mean_prior_absolute_error: 0.2137, number_of_instances: 750, precision: 0.0484, predictive_accuracy: 0.22, prior_entropy: 2.8958, recall: 0.22, relative_absolute_error: 0.9123, root_mean_prior_squared_error: 0.3269, root_mean_squared_error: 0.4416, root_relative_squared_error: 1.3509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.508, f_measure: 0.1193, kappa: 0.0195, kb_relative_information_score: 36.5998, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.2137, number_of_instances: 750, precision: 0.2015, predictive_accuracy: 0.1547, prior_entropy: 2.8958, recall: 0.1547, relative_absolute_error: 1.0229, root_mean_prior_squared_error: 0.3269, root_mean_squared_error: 0.3306, root_relative_squared_error: 1.0113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5185, f_measure: 0.1765, kappa: 0.0353, kb_relative_information_score: 76.7633, mean_absolute_error: 0.204, mean_prior_absolute_error: 0.2137, number_of_instances: 750, precision: 0.1722, predictive_accuracy: 0.184, prior_entropy: 2.8958, recall: 0.184, relative_absolute_error: 0.9544, root_mean_prior_squared_error: 0.3269, root_mean_squared_error: 0.4517, root_relative_squared_error: 1.3818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0196, kb_relative_information_score: 32.8034, mean_absolute_error: 0.224, mean_prior_absolute_error: 0.2137, number_of_instances: 750, precision: 0.0108, predictive_accuracy: 0.104, prior_entropy: 2.8958, recall: 0.104, relative_absolute_error: 1.048, root_mean_prior_squared_error: 0.3269, root_mean_squared_error: 0.4733, root_relative_squared_error: 1.4479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5488, f_measure: 0.179, kappa: 0.0769, kb_relative_information_score: 96.1724, mean_absolute_error: 0.1945, mean_prior_absolute_error: 0.2137, number_of_instances: 750, precision: 0.1526, predictive_accuracy: 0.2533, prior_entropy: 2.8958, recall: 0.2533, relative_absolute_error: 0.91, root_mean_prior_squared_error: 0.3269, root_mean_squared_error: 0.3967, root_relative_squared_error: 1.2135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4787, f_measure: 0.1193, kappa: -0.0083, kb_relative_information_score: 17.2294, mean_absolute_error: 0.2141, mean_prior_absolute_error: 0.2137, number_of_instances: 750, precision: 0.0855, predictive_accuracy: 0.204, prior_entropy: 2.8958, recall: 0.204, relative_absolute_error: 1.0015, root_mean_prior_squared_error: 0.3269, root_mean_squared_error: 0.328, root_relative_squared_error: 1.0035,

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

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

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

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