Task
Supervised Classification on tecator

Supervised Classification on tecator

Task 3716 Supervised Classification tecator 537 runs submitted
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  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8886, f_measure: 0.883, kappa: 0.7601, kb_relative_information_score: 175.2183, mean_absolute_error: 0.1328, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.8832, predictive_accuracy: 0.8833, prior_entropy: 0.984, recall: 0.8833, relative_absolute_error: 0.2717, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3373, root_relative_squared_error: 0.6822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8454, f_measure: 0.8821, kappa: 0.7576, kb_relative_information_score: 151.8284, mean_absolute_error: 0.1977, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.8856, predictive_accuracy: 0.8833, prior_entropy: 0.984, recall: 0.8833, relative_absolute_error: 0.4044, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3214, root_relative_squared_error: 0.6501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9374, kappa: 0.8716, kb_relative_information_score: 195.1563, mean_absolute_error: 0.0979, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9375, predictive_accuracy: 0.9375, prior_entropy: 0.984, recall: 0.9375, relative_absolute_error: 0.2003, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2119, root_relative_squared_error: 0.4286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9452, f_measure: 0.9459, kappa: 0.8893, kb_relative_information_score: 213.0847, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9459, predictive_accuracy: 0.9458, prior_entropy: 0.984, recall: 0.9458, relative_absolute_error: 0.1108, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.4708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9414, kappa: 0.8797, kb_relative_information_score: 158.0184, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9424, predictive_accuracy: 0.9417, prior_entropy: 0.984, recall: 0.9417, relative_absolute_error: 0.3887, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2511, root_relative_squared_error: 0.5079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9506, f_measure: 0.9455, kappa: 0.8882, kb_relative_information_score: 207.643, mean_absolute_error: 0.0672, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9469, predictive_accuracy: 0.9458, prior_entropy: 0.984, recall: 0.9458, relative_absolute_error: 0.1375, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2257, root_relative_squared_error: 0.4566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.692, f_measure: 0.6583, kappa: 0.3009, kb_relative_information_score: 72.7411, mean_absolute_error: 0.3369, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.6583, predictive_accuracy: 0.6583, prior_entropy: 0.984, recall: 0.6583, relative_absolute_error: 0.6891, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.555, root_relative_squared_error: 1.1227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9113, f_measure: 0.8876, kappa: 0.7701, kb_relative_information_score: 168.8733, mean_absolute_error: 0.1538, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.8877, predictive_accuracy: 0.8875, prior_entropy: 0.984, recall: 0.8875, relative_absolute_error: 0.3146, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3142, root_relative_squared_error: 0.6356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.675, f_measure: 0.6607, kappa: 0.3032, kb_relative_information_score: 72.6518, mean_absolute_error: 0.3376, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.66, predictive_accuracy: 0.6625, prior_entropy: 0.984, recall: 0.6625, relative_absolute_error: 0.6906, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.577, root_relative_squared_error: 1.1673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9377, f_measure: 0.8783, kappa: 0.7499, kb_relative_information_score: 153.4546, mean_absolute_error: 0.1858, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.88, predictive_accuracy: 0.8792, prior_entropy: 0.984, recall: 0.8792, relative_absolute_error: 0.38, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3113, root_relative_squared_error: 0.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, f_measure: 0.9078, kappa: 0.8105, kb_relative_information_score: 176.9469, mean_absolute_error: 0.1379, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9093, predictive_accuracy: 0.9083, prior_entropy: 0.984, recall: 0.9083, relative_absolute_error: 0.2821, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2529, root_relative_squared_error: 0.5116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.675, f_measure: 0.6607, kappa: 0.3032, kb_relative_information_score: 72.6518, mean_absolute_error: 0.3376, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.66, predictive_accuracy: 0.6625, prior_entropy: 0.984, recall: 0.6625, relative_absolute_error: 0.6906, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.577, root_relative_squared_error: 1.1673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.939, f_measure: 0.8792, kappa: 0.7531, kb_relative_information_score: 178.1176, mean_absolute_error: 0.1259, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.8793, predictive_accuracy: 0.8792, prior_entropy: 0.984, recall: 0.8792, relative_absolute_error: 0.2576, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3014, root_relative_squared_error: 0.6098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.9252, kappa: 0.8477, kb_relative_information_score: 203.2719, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9266, predictive_accuracy: 0.925, prior_entropy: 0.984, recall: 0.925, relative_absolute_error: 0.151, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2642, root_relative_squared_error: 0.5345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.875, kappa: 0.7442, kb_relative_information_score: 149.1813, mean_absolute_error: 0.1965, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.875, predictive_accuracy: 0.875, prior_entropy: 0.984, recall: 0.875, relative_absolute_error: 0.402, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3079, root_relative_squared_error: 0.6229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.8949, kappa: 0.7838, kb_relative_information_score: 190.0534, mean_absolute_error: 0.1017, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.8978, predictive_accuracy: 0.8958, prior_entropy: 0.984, recall: 0.8958, relative_absolute_error: 0.208, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2718, root_relative_squared_error: 0.5499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.9205, kappa: 0.837, kb_relative_information_score: 194.9882, mean_absolute_error: 0.0914, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9211, predictive_accuracy: 0.9208, prior_entropy: 0.984, recall: 0.9208, relative_absolute_error: 0.187, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2714, root_relative_squared_error: 0.5491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.9207, kappa: 0.8374, kb_relative_information_score: 197.13, mean_absolute_error: 0.0889, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9208, predictive_accuracy: 0.9208, prior_entropy: 0.984, recall: 0.9208, relative_absolute_error: 0.1818, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2633, root_relative_squared_error: 0.5326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.8994, kappa: 0.7933, kb_relative_information_score: 160.9454, mean_absolute_error: 0.1699, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9008, predictive_accuracy: 0.9, prior_entropy: 0.984, recall: 0.9, relative_absolute_error: 0.3476, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2815, root_relative_squared_error: 0.5695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9519, f_measure: 0.865, kappa: 0.7222, kb_relative_information_score: 174.0091, mean_absolute_error: 0.1336, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.8695, predictive_accuracy: 0.8667, prior_entropy: 0.984, recall: 0.8667, relative_absolute_error: 0.2733, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3352, root_relative_squared_error: 0.678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.9499, kappa: 0.8972, kb_relative_information_score: 208.386, mean_absolute_error: 0.0654, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9503, predictive_accuracy: 0.95, prior_entropy: 0.984, recall: 0.95, relative_absolute_error: 0.1338, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2163, root_relative_squared_error: 0.4376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.968, f_measure: 0.9207, kappa: 0.8374, kb_relative_information_score: 183.536, mean_absolute_error: 0.1206, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9208, predictive_accuracy: 0.9208, prior_entropy: 0.984, recall: 0.9208, relative_absolute_error: 0.2467, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.247, root_relative_squared_error: 0.4997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9606, f_measure: 0.9042, kappa: 0.8042, kb_relative_information_score: 161.8083, mean_absolute_error: 0.1738, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9043, predictive_accuracy: 0.9042, prior_entropy: 0.984, recall: 0.9042, relative_absolute_error: 0.3556, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2706, root_relative_squared_error: 0.5474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4864, f_measure: 0.4198, kb_relative_information_score: -0.0719, mean_absolute_error: 0.4889, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.3306, predictive_accuracy: 0.575, prior_entropy: 0.984, recall: 0.575, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4944, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, f_measure: 0.9081, kappa: 0.8115, kb_relative_information_score: 184.1873, mean_absolute_error: 0.1174, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9083, predictive_accuracy: 0.9083, prior_entropy: 0.984, recall: 0.9083, relative_absolute_error: 0.2401, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2507, root_relative_squared_error: 0.5072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9676, f_measure: 0.9081, kappa: 0.8115, kb_relative_information_score: 184.2647, mean_absolute_error: 0.117, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9083, predictive_accuracy: 0.9083, prior_entropy: 0.984, recall: 0.9083, relative_absolute_error: 0.2392, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2538, root_relative_squared_error: 0.5133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9479, f_measure: 0.8785, kappa: 0.7505, kb_relative_information_score: 170.4287, mean_absolute_error: 0.1433, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.8794, predictive_accuracy: 0.8792, prior_entropy: 0.984, recall: 0.8792, relative_absolute_error: 0.2931, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2921, root_relative_squared_error: 0.5909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9341, f_measure: 0.9374, kappa: 0.8716, kb_relative_information_score: 208.954, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9375, predictive_accuracy: 0.9375, prior_entropy: 0.984, recall: 0.9375, relative_absolute_error: 0.1279, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.25, root_relative_squared_error: 0.5057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8839, f_measure: 0.8835, kappa: 0.7619, kb_relative_information_score: 179.8294, mean_absolute_error: 0.1228, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.8837, predictive_accuracy: 0.8833, prior_entropy: 0.984, recall: 0.8833, relative_absolute_error: 0.2512, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3324, root_relative_squared_error: 0.6724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6768, f_measure: 0.6607, kappa: 0.3032, kb_relative_information_score: 72.7407, mean_absolute_error: 0.3374, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.66, predictive_accuracy: 0.6625, prior_entropy: 0.984, recall: 0.6625, relative_absolute_error: 0.6901, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5769, root_relative_squared_error: 1.167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9458, kappa: 0.889, kb_relative_information_score: 206.9606, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9458, predictive_accuracy: 0.9458, prior_entropy: 0.984, recall: 0.9458, relative_absolute_error: 0.1388, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2224, root_relative_squared_error: 0.4499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9663, f_measure: 0.9204, kappa: 0.8366, kb_relative_information_score: 195.2788, mean_absolute_error: 0.0928, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9216, predictive_accuracy: 0.9208, prior_entropy: 0.984, recall: 0.9208, relative_absolute_error: 0.1898, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2687, root_relative_squared_error: 0.5436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6901, f_measure: 0.6583, kappa: 0.3009, kb_relative_information_score: 72.668, mean_absolute_error: 0.3371, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.6583, predictive_accuracy: 0.6583, prior_entropy: 0.984, recall: 0.6583, relative_absolute_error: 0.6895, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5554, root_relative_squared_error: 1.1235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8839, f_measure: 0.8835, kappa: 0.7619, kb_relative_information_score: 179.8294, mean_absolute_error: 0.1228, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.8837, predictive_accuracy: 0.8833, prior_entropy: 0.984, recall: 0.8833, relative_absolute_error: 0.2512, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3324, root_relative_squared_error: 0.6724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6902, f_measure: 0.6495, kappa: 0.3171, kb_relative_information_score: 68.6816, mean_absolute_error: 0.3451, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.6826, predictive_accuracy: 0.65, prior_entropy: 0.984, recall: 0.65, relative_absolute_error: 0.7059, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5837, root_relative_squared_error: 1.1808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8619, f_measure: 0.8731, kappa: 0.7389, kb_relative_information_score: 177.9733, mean_absolute_error: 0.125, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.8795, predictive_accuracy: 0.875, prior_entropy: 0.984, recall: 0.875, relative_absolute_error: 0.2557, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3536, root_relative_squared_error: 0.7152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9269, f_measure: 0.9291, kappa: 0.8549, kb_relative_information_score: 204.8232, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9291, predictive_accuracy: 0.9292, prior_entropy: 0.984, recall: 0.9292, relative_absolute_error: 0.1449, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2661, root_relative_squared_error: 0.5384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.904, kappa: 0.8032, kb_relative_information_score: 150.7809, mean_absolute_error: 0.2014, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9041, predictive_accuracy: 0.9042, prior_entropy: 0.984, recall: 0.9042, relative_absolute_error: 0.412, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2708, root_relative_squared_error: 0.5478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6768, f_measure: 0.6607, kappa: 0.3032, kb_relative_information_score: 72.654, mean_absolute_error: 0.3376, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.66, predictive_accuracy: 0.6625, prior_entropy: 0.984, recall: 0.6625, relative_absolute_error: 0.6906, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.577, root_relative_squared_error: 1.1672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.9251, kappa: 0.8469, kb_relative_information_score: 183.9742, mean_absolute_error: 0.1237, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9253, predictive_accuracy: 0.925, prior_entropy: 0.984, recall: 0.925, relative_absolute_error: 0.253, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2422, root_relative_squared_error: 0.4899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, f_measure: 0.9127, kappa: 0.8221, kb_relative_information_score: 164.4585, mean_absolute_error: 0.1683, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9138, predictive_accuracy: 0.9125, prior_entropy: 0.984, recall: 0.9125, relative_absolute_error: 0.3444, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2614, root_relative_squared_error: 0.5288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8781, f_measure: 0.883, kappa: 0.7601, kb_relative_information_score: 182.1041, mean_absolute_error: 0.1167, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.8832, predictive_accuracy: 0.8833, prior_entropy: 0.984, recall: 0.8833, relative_absolute_error: 0.2387, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3416, root_relative_squared_error: 0.6909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9439, f_measure: 0.9458, kappa: 0.889, kb_relative_information_score: 213.0847, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9458, predictive_accuracy: 0.9458, prior_entropy: 0.984, recall: 0.9458, relative_absolute_error: 0.1108, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.4708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9173, f_measure: 0.9169, kappa: 0.8304, kb_relative_information_score: 198.6271, mean_absolute_error: 0.0833, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9176, predictive_accuracy: 0.9167, prior_entropy: 0.984, recall: 0.9167, relative_absolute_error: 0.1705, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2887, root_relative_squared_error: 0.584, scimark_benchmark: 1959.6455, usercpu_time_millis: 171.875, usercpu_time_millis_testing: 62.5, usercpu_time_millis_training: 109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4198, kb_relative_information_score: 29.2661, mean_absolute_error: 0.425, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.3306, predictive_accuracy: 0.575, prior_entropy: 0.984, recall: 0.575, relative_absolute_error: 0.8694, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.6519, root_relative_squared_error: 1.3188, scimark_benchmark: 1959.6455, usercpu_time_millis: 93.75, usercpu_time_millis_testing: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.9499, kappa: 0.8974, kb_relative_information_score: 213.2023, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.95, predictive_accuracy: 0.95, prior_entropy: 0.984, recall: 0.95, relative_absolute_error: 0.1133, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2147, root_relative_squared_error: 0.4343, scimark_benchmark: 1355.6732, usercpu_time_millis: 4770, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 4760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4198, kb_relative_information_score: 29.2661, mean_absolute_error: 0.425, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.3306, predictive_accuracy: 0.575, prior_entropy: 0.984, recall: 0.575, relative_absolute_error: 0.8694, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.6519, root_relative_squared_error: 1.3188, scimark_benchmark: 1348.4189, usercpu_time_millis: 150, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9173, f_measure: 0.9169, kappa: 0.8304, kb_relative_information_score: 198.6271, mean_absolute_error: 0.0833, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9176, predictive_accuracy: 0.9167, prior_entropy: 0.984, recall: 0.9167, relative_absolute_error: 0.1705, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2887, root_relative_squared_error: 0.584, scimark_benchmark: 1394.7909, usercpu_time_millis: 110, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9439, f_measure: 0.9458, kappa: 0.889, kb_relative_information_score: 213.0847, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9458, predictive_accuracy: 0.9458, prior_entropy: 0.984, recall: 0.9458, relative_absolute_error: 0.1108, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.4708, scimark_benchmark: 1388.6641, usercpu_time_millis: 100, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9333, kappa: 0.8636, kb_relative_information_score: 207.6685, mean_absolute_error: 0.0653, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9333, predictive_accuracy: 0.9333, prior_entropy: 0.984, recall: 0.9333, relative_absolute_error: 0.1336, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2229, root_relative_squared_error: 0.4509, scimark_benchmark: 1908.2191, usercpu_time_millis: 5671.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 5656.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9587, f_measure: 0.9584, kappa: 0.915, kb_relative_information_score: 219.2808, mean_absolute_error: 0.0417, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9586, predictive_accuracy: 0.9583, prior_entropy: 0.984, recall: 0.9583, relative_absolute_error: 0.0852, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2041, root_relative_squared_error: 0.4129, scimark_benchmark: 1827.4462, usercpu_time_millis: 62.5, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9374, kappa: 0.8716, kb_relative_information_score: 207.1978, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9375, predictive_accuracy: 0.9375, prior_entropy: 0.984, recall: 0.9375, relative_absolute_error: 0.136, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2393, root_relative_squared_error: 0.484, scimark_benchmark: 1578.9489, usercpu_time_millis: 14410, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 14400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9457, kappa: 0.8887, kb_relative_information_score: 209.0658, mean_absolute_error: 0.0654, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9459, predictive_accuracy: 0.9458, prior_entropy: 0.984, recall: 0.9458, relative_absolute_error: 0.1338, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.1937, root_relative_squared_error: 0.3917, scimark_benchmark: 1060.9535, usercpu_time_millis: 625, usercpu_time_millis_training: 625,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6768, f_measure: 0.6607, kappa: 0.3032, kb_relative_information_score: 72.654, mean_absolute_error: 0.3376, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.66, predictive_accuracy: 0.6625, prior_entropy: 0.984, recall: 0.6625, relative_absolute_error: 0.6906, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.577, root_relative_squared_error: 1.1672, scimark_benchmark: 1240.1435, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.9416, kappa: 0.8803, kb_relative_information_score: 205.0121, mean_absolute_error: 0.0748, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9416, predictive_accuracy: 0.9417, prior_entropy: 0.984, recall: 0.9417, relative_absolute_error: 0.153, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2317, root_relative_squared_error: 0.4687, scimark_benchmark: 1196.231, usercpu_time_millis: 590, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.913, f_measure: 0.9204, kappa: 0.8366, kb_relative_information_score: 200.6753, mean_absolute_error: 0.0792, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9216, predictive_accuracy: 0.9208, prior_entropy: 0.984, recall: 0.9208, relative_absolute_error: 0.162, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2814, root_relative_squared_error: 0.5692, scimark_benchmark: 1319.0837, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9106, f_measure: 0.912, kappa: 0.8194, kb_relative_information_score: 195.3009, mean_absolute_error: 0.0911, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9132, predictive_accuracy: 0.9125, prior_entropy: 0.984, recall: 0.9125, relative_absolute_error: 0.1863, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2945, root_relative_squared_error: 0.5958, scimark_benchmark: 1267.406, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9375, kappa: 0.8723, kb_relative_information_score: 208.8358, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9376, predictive_accuracy: 0.9375, prior_entropy: 0.984, recall: 0.9375, relative_absolute_error: 0.1297, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.229, root_relative_squared_error: 0.4632, scimark_benchmark: 1236.5108, usercpu_time_millis: 1080, usercpu_time_millis_training: 1080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.918, f_measure: 0.8839, kappa: 0.7649, kb_relative_information_score: 172.5092, mean_absolute_error: 0.1431, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.8889, predictive_accuracy: 0.8833, prior_entropy: 0.984, recall: 0.8833, relative_absolute_error: 0.2928, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3102, root_relative_squared_error: 0.6274, scimark_benchmark: 878.6332, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9352, f_measure: 0.9413, kappa: 0.8794, kb_relative_information_score: 211.0193, mean_absolute_error: 0.0583, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9431, predictive_accuracy: 0.9417, prior_entropy: 0.984, recall: 0.9417, relative_absolute_error: 0.1193, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2415, root_relative_squared_error: 0.4886, scimark_benchmark: 1618.1738, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9209, f_measure: 0.921, kappa: 0.8386, kb_relative_information_score: 200.6925, mean_absolute_error: 0.0792, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9214, predictive_accuracy: 0.9208, prior_entropy: 0.984, recall: 0.9208, relative_absolute_error: 0.1619, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2814, root_relative_squared_error: 0.5692, scimark_benchmark: 1618.1738, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9081, f_measure: 0.8668, kappa: 0.7279, kb_relative_information_score: 161.3338, mean_absolute_error: 0.1669, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.8671, predictive_accuracy: 0.8667, prior_entropy: 0.984, recall: 0.8667, relative_absolute_error: 0.3415, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3303, root_relative_squared_error: 0.6682, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.9164, kappa: 0.8286, kb_relative_information_score: 156.2626, mean_absolute_error: 0.1906, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9167, predictive_accuracy: 0.9167, prior_entropy: 0.984, recall: 0.9167, relative_absolute_error: 0.3899, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2583, root_relative_squared_error: 0.5224, scimark_benchmark: 1925.3565, usercpu_time_millis: 93.75, usercpu_time_millis_training: 93.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.675, f_measure: 0.6607, kappa: 0.3032, kb_relative_information_score: 72.6518, mean_absolute_error: 0.3376, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.66, predictive_accuracy: 0.6625, prior_entropy: 0.984, recall: 0.6625, relative_absolute_error: 0.6906, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.577, root_relative_squared_error: 1.1673, scimark_benchmark: 1925.3565, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8825, f_measure: 0.8836, kappa: 0.7625, kb_relative_information_score: 179.5023, mean_absolute_error: 0.1236, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.8844, predictive_accuracy: 0.8833, prior_entropy: 0.984, recall: 0.8833, relative_absolute_error: 0.2529, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3327, root_relative_squared_error: 0.6729, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6768, f_measure: 0.6607, kappa: 0.3032, kb_relative_information_score: 72.654, mean_absolute_error: 0.3376, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.66, predictive_accuracy: 0.6625, prior_entropy: 0.984, recall: 0.6625, relative_absolute_error: 0.6906, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.577, root_relative_squared_error: 1.1672, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9352, f_measure: 0.9413, kappa: 0.8794, kb_relative_information_score: 211.0193, mean_absolute_error: 0.0583, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9431, predictive_accuracy: 0.9417, prior_entropy: 0.984, recall: 0.9417, relative_absolute_error: 0.1193, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2415, root_relative_squared_error: 0.4886, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9209, f_measure: 0.921, kappa: 0.8386, kb_relative_information_score: 200.6925, mean_absolute_error: 0.0792, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9214, predictive_accuracy: 0.9208, prior_entropy: 0.984, recall: 0.9208, relative_absolute_error: 0.1619, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2814, root_relative_squared_error: 0.5692, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, f_measure: 0.9416, kappa: 0.8803, kb_relative_information_score: 206.2434, mean_absolute_error: 0.0723, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9416, predictive_accuracy: 0.9417, prior_entropy: 0.984, recall: 0.9417, relative_absolute_error: 0.1479, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2193, root_relative_squared_error: 0.4436, scimark_benchmark: 1925.3565, usercpu_time_millis: 359.375, usercpu_time_millis_training: 359.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.913, f_measure: 0.9204, kappa: 0.8366, kb_relative_information_score: 200.6753, mean_absolute_error: 0.0792, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9216, predictive_accuracy: 0.9208, prior_entropy: 0.984, recall: 0.9208, relative_absolute_error: 0.162, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2814, root_relative_squared_error: 0.5692, scimark_benchmark: 1925.3565, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9106, f_measure: 0.912, kappa: 0.8194, kb_relative_information_score: 195.3009, mean_absolute_error: 0.0911, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9132, predictive_accuracy: 0.9125, prior_entropy: 0.984, recall: 0.9125, relative_absolute_error: 0.1863, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2945, root_relative_squared_error: 0.5958, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9375, kappa: 0.8723, kb_relative_information_score: 208.6531, mean_absolute_error: 0.0639, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9376, predictive_accuracy: 0.9375, prior_entropy: 0.984, recall: 0.9375, relative_absolute_error: 0.1307, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2292, root_relative_squared_error: 0.4637, scimark_benchmark: 1892.0925, usercpu_time_millis: 562.5, usercpu_time_millis_training: 562.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.914, f_measure: 0.8962, kappa: 0.7888, kb_relative_information_score: 179.4868, mean_absolute_error: 0.129, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.8981, predictive_accuracy: 0.8958, prior_entropy: 0.984, recall: 0.8958, relative_absolute_error: 0.2639, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2951, root_relative_squared_error: 0.5969, scimark_benchmark: 1892.0925, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9159, f_measure: 0.867, kappa: 0.7286, kb_relative_information_score: 161.8642, mean_absolute_error: 0.1656, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.8678, predictive_accuracy: 0.8667, prior_entropy: 0.984, recall: 0.8667, relative_absolute_error: 0.3387, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3261, root_relative_squared_error: 0.6597, scimark_benchmark: 1892.0925, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9082, kappa: 0.812, kb_relative_information_score: 157.4562, mean_absolute_error: 0.1883, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9082, predictive_accuracy: 0.9083, prior_entropy: 0.984, recall: 0.9083, relative_absolute_error: 0.3852, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2548, root_relative_squared_error: 0.5154, scimark_benchmark: 1892.0925, usercpu_time_millis: 93.75, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.675, f_measure: 0.6607, kappa: 0.3032, kb_relative_information_score: 72.6518, mean_absolute_error: 0.3376, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.66, predictive_accuracy: 0.6625, prior_entropy: 0.984, recall: 0.6625, relative_absolute_error: 0.6906, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.577, root_relative_squared_error: 1.1673, scimark_benchmark: 1892.0925, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8779, f_measure: 0.8794, kappa: 0.7537, kb_relative_information_score: 177.7641, mean_absolute_error: 0.127, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.8799, predictive_accuracy: 0.8792, prior_entropy: 0.984, recall: 0.8792, relative_absolute_error: 0.2597, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3386, root_relative_squared_error: 0.685, scimark_benchmark: 1892.0925, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.913, f_measure: 0.9204, kappa: 0.8366, kb_relative_information_score: 200.6753, mean_absolute_error: 0.0792, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9216, predictive_accuracy: 0.9208, prior_entropy: 0.984, recall: 0.9208, relative_absolute_error: 0.162, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2814, root_relative_squared_error: 0.5692, scimark_benchmark: 1834.908, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.9373, kappa: 0.8713, kb_relative_information_score: 203.571, mean_absolute_error: 0.0777, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9379, predictive_accuracy: 0.9375, prior_entropy: 0.984, recall: 0.9375, relative_absolute_error: 0.159, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2374, root_relative_squared_error: 0.4803, scimark_benchmark: 1834.908, usercpu_time_millis: 312.5, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 296.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9375, kappa: 0.8723, kb_relative_information_score: 207.765, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9376, predictive_accuracy: 0.9375, prior_entropy: 0.984, recall: 0.9375, relative_absolute_error: 0.1343, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2366, root_relative_squared_error: 0.4786, scimark_benchmark: 1834.908, usercpu_time_millis: 546.875, usercpu_time_millis_training: 546.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9375, kappa: 0.8723, kb_relative_information_score: 207.765, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9376, predictive_accuracy: 0.9375, prior_entropy: 0.984, recall: 0.9375, relative_absolute_error: 0.1343, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2366, root_relative_squared_error: 0.4786, scimark_benchmark: 1788.6668, usercpu_time_millis: 703.125, usercpu_time_millis_training: 703.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9207, kappa: 0.8374, kb_relative_information_score: 198.5549, mean_absolute_error: 0.0844, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9208, predictive_accuracy: 0.9208, prior_entropy: 0.984, recall: 0.9208, relative_absolute_error: 0.1727, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2599, root_relative_squared_error: 0.5256, scimark_benchmark: 1788.6668, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9322, f_measure: 0.9003, kappa: 0.797, kb_relative_information_score: 179.6095, mean_absolute_error: 0.1296, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9018, predictive_accuracy: 0.9, prior_entropy: 0.984, recall: 0.9, relative_absolute_error: 0.265, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2912, root_relative_squared_error: 0.5891, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.9292, kappa: 0.8553, kb_relative_information_score: 196.7849, mean_absolute_error: 0.0924, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9293, predictive_accuracy: 0.9292, prior_entropy: 0.984, recall: 0.9292, relative_absolute_error: 0.1891, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2418, root_relative_squared_error: 0.4892, scimark_benchmark: 1788.6668, usercpu_time_millis: 78.125, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9166, kappa: 0.8291, kb_relative_information_score: 197.705, mean_absolute_error: 0.0863, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9166, predictive_accuracy: 0.9167, prior_entropy: 0.984, recall: 0.9167, relative_absolute_error: 0.1765, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.235, root_relative_squared_error: 0.4753, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9096, f_measure: 0.9161, kappa: 0.8277, kb_relative_information_score: 198.6271, mean_absolute_error: 0.0833, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9177, predictive_accuracy: 0.9167, prior_entropy: 0.984, recall: 0.9167, relative_absolute_error: 0.1705, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2887, root_relative_squared_error: 0.584, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9352, f_measure: 0.9413, kappa: 0.8794, kb_relative_information_score: 211.0193, mean_absolute_error: 0.0583, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9431, predictive_accuracy: 0.9417, prior_entropy: 0.984, recall: 0.9417, relative_absolute_error: 0.1193, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2415, root_relative_squared_error: 0.4886, scimark_benchmark: 1089.3051, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9113, f_measure: 0.8876, kappa: 0.7701, kb_relative_information_score: 168.8733, mean_absolute_error: 0.1538, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.8877, predictive_accuracy: 0.8875, prior_entropy: 0.984, recall: 0.8875, relative_absolute_error: 0.3146, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3142, root_relative_squared_error: 0.6356, scimark_benchmark: 979.2708, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, f_measure: 0.9082, kappa: 0.812, kb_relative_information_score: 178.5899, mean_absolute_error: 0.1302, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9082, predictive_accuracy: 0.9083, prior_entropy: 0.984, recall: 0.9083, relative_absolute_error: 0.2663, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.26, root_relative_squared_error: 0.5259, scimark_benchmark: 1447.2612, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9501, f_measure: 0.9045, kappa: 0.8057, kb_relative_information_score: 194.4199, mean_absolute_error: 0.0921, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9064, predictive_accuracy: 0.9042, prior_entropy: 0.984, recall: 0.9042, relative_absolute_error: 0.1884, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2574, root_relative_squared_error: 0.5207, scimark_benchmark: 1840.6094, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9343, f_measure: 0.9044, kappa: 0.8052, kb_relative_information_score: 185.2981, mean_absolute_error: 0.1108, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9055, predictive_accuracy: 0.9042, prior_entropy: 0.984, recall: 0.9042, relative_absolute_error: 0.2266, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.286, root_relative_squared_error: 0.5786, scimark_benchmark: 1840.6094, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.878, kappa: 0.7492, kb_relative_information_score: 142.3597, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.8808, predictive_accuracy: 0.8792, prior_entropy: 0.984, recall: 0.8792, relative_absolute_error: 0.4257, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3126, root_relative_squared_error: 0.6324, scimark_benchmark: 1873.1108, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.967, f_measure: 0.9079, kappa: 0.811, kb_relative_information_score: 185.2796, mean_absolute_error: 0.1146, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9087, predictive_accuracy: 0.9083, prior_entropy: 0.984, recall: 0.9083, relative_absolute_error: 0.2344, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2535, root_relative_squared_error: 0.5128, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9603, f_measure: 0.8949, kappa: 0.7838, kb_relative_information_score: 164.7914, mean_absolute_error: 0.1603, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.8978, predictive_accuracy: 0.8958, prior_entropy: 0.984, recall: 0.8958, relative_absolute_error: 0.328, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2793, root_relative_squared_error: 0.565, scimark_benchmark: 1873.1108, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9488, f_measure: 0.95, kappa: 0.8977, kb_relative_information_score: 215.1501, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.95, predictive_accuracy: 0.95, prior_entropy: 0.984, recall: 0.95, relative_absolute_error: 0.1023, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2236, root_relative_squared_error: 0.4523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, f_measure: 0.9208, kappa: 0.8378, kb_relative_information_score: 200.6925, mean_absolute_error: 0.0792, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9208, predictive_accuracy: 0.9208, prior_entropy: 0.984, recall: 0.9208, relative_absolute_error: 0.1619, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2814, root_relative_squared_error: 0.5692, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9209, f_measure: 0.921, kappa: 0.8386, kb_relative_information_score: 200.6925, mean_absolute_error: 0.0792, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9214, predictive_accuracy: 0.9208, prior_entropy: 0.984, recall: 0.9208, relative_absolute_error: 0.1619, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2814, root_relative_squared_error: 0.5692, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9287, f_measure: 0.8836, kappa: 0.7625, kb_relative_information_score: 173.208, mean_absolute_error: 0.1412, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.8844, predictive_accuracy: 0.8833, prior_entropy: 0.984, recall: 0.8833, relative_absolute_error: 0.2888, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3068, root_relative_squared_error: 0.6206, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,

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

OpenML bootcamp

From your own software

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

OpenML APIs