Task
Supervised Classification on ecoli

Supervised Classification on ecoli

Task 3874 Supervised Classification ecoli 605 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9142, kappa: 0.828, kb_relative_information_score: 271.1372, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9282, predictive_accuracy: 0.9137, prior_entropy: 0.9842, recall: 0.9137, relative_absolute_error: 0.1941, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2711, root_relative_squared_error: 0.5483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9609, f_measure: 0.9585, kappa: 0.9157, kb_relative_information_score: 290.9855, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9611, predictive_accuracy: 0.9583, prior_entropy: 0.9842, recall: 0.9583, relative_absolute_error: 0.1472, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2007, root_relative_squared_error: 0.4059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.9584, kappa: 0.9149, kb_relative_information_score: 293.1867, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9585, predictive_accuracy: 0.9583, prior_entropy: 0.9842, recall: 0.9583, relative_absolute_error: 0.1375, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.189, root_relative_squared_error: 0.3823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9319, kappa: 0.8621, kb_relative_information_score: 282.4039, mean_absolute_error: 0.0812, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.937, predictive_accuracy: 0.9315, prior_entropy: 0.9842, recall: 0.9315, relative_absolute_error: 0.1661, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2087, root_relative_squared_error: 0.422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, f_measure: 0.9494, kappa: 0.8964, kb_relative_information_score: 292.3683, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9494, predictive_accuracy: 0.9494, prior_entropy: 0.9842, recall: 0.9494, relative_absolute_error: 0.1372, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2208, root_relative_squared_error: 0.4466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.9404, kappa: 0.878, kb_relative_information_score: 294.5857, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9404, predictive_accuracy: 0.9405, prior_entropy: 0.9842, recall: 0.9405, relative_absolute_error: 0.1245, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.4216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9345, kappa: 0.8661, kb_relative_information_score: 285.9029, mean_absolute_error: 0.0748, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9345, predictive_accuracy: 0.9345, prior_entropy: 0.9842, recall: 0.9345, relative_absolute_error: 0.1529, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2191, root_relative_squared_error: 0.4431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9652, f_measure: 0.9315, kappa: 0.8599, kb_relative_information_score: 290.5724, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9315, predictive_accuracy: 0.9315, prior_entropy: 0.9842, recall: 0.9315, relative_absolute_error: 0.1323, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2438, root_relative_squared_error: 0.4932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.9552, kappa: 0.9083, kb_relative_information_score: 297.884, mean_absolute_error: 0.0585, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9556, predictive_accuracy: 0.9554, prior_entropy: 0.9842, recall: 0.9554, relative_absolute_error: 0.1195, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2048, root_relative_squared_error: 0.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9345, kappa: 0.8661, kb_relative_information_score: 285.8811, mean_absolute_error: 0.0748, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9345, predictive_accuracy: 0.9345, prior_entropy: 0.9842, recall: 0.9345, relative_absolute_error: 0.153, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2191, root_relative_squared_error: 0.4431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9552, kappa: 0.9083, kb_relative_information_score: 298.6607, mean_absolute_error: 0.0564, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9556, predictive_accuracy: 0.9554, prior_entropy: 0.9842, recall: 0.9554, relative_absolute_error: 0.1154, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1837, root_relative_squared_error: 0.3716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9674, kappa: 0.9335, kb_relative_information_score: 297.4301, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9683, predictive_accuracy: 0.9673, prior_entropy: 0.9842, recall: 0.9673, relative_absolute_error: 0.1263, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1774, root_relative_squared_error: 0.3589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9552, kappa: 0.9083, kb_relative_information_score: 298.387, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9556, predictive_accuracy: 0.9554, prior_entropy: 0.9842, recall: 0.9554, relative_absolute_error: 0.1163, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1843, root_relative_squared_error: 0.3728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.9583, kappa: 0.9148, kb_relative_information_score: 307.0123, mean_absolute_error: 0.0417, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9583, predictive_accuracy: 0.9583, prior_entropy: 0.9842, recall: 0.9583, relative_absolute_error: 0.0852, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1896, root_relative_squared_error: 0.3835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9583, kappa: 0.9148, kb_relative_information_score: 290.8732, mean_absolute_error: 0.0706, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9583, predictive_accuracy: 0.9583, prior_entropy: 0.9842, recall: 0.9583, relative_absolute_error: 0.1444, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1901, root_relative_squared_error: 0.3845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.9583, kappa: 0.9146, kb_relative_information_score: 241.6727, mean_absolute_error: 0.1583, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9583, predictive_accuracy: 0.9583, prior_entropy: 0.9842, recall: 0.9583, relative_absolute_error: 0.3237, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2258, root_relative_squared_error: 0.4567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4873, f_measure: 0.4191, kb_relative_information_score: -0.0602, mean_absolute_error: 0.489, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.3299, predictive_accuracy: 0.5744, prior_entropy: 0.9842, recall: 0.5744, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.4945, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9703, kappa: 0.9393, kb_relative_information_score: 297.9785, mean_absolute_error: 0.0601, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9706, predictive_accuracy: 0.9702, prior_entropy: 0.9842, recall: 0.9702, relative_absolute_error: 0.1229, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1793, root_relative_squared_error: 0.3626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9703, kappa: 0.9393, kb_relative_information_score: 297.9785, mean_absolute_error: 0.0601, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9706, predictive_accuracy: 0.9702, prior_entropy: 0.9842, recall: 0.9702, relative_absolute_error: 0.1229, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1793, root_relative_squared_error: 0.3626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.9673, kappa: 0.9332, kb_relative_information_score: 297.0853, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9675, predictive_accuracy: 0.9673, prior_entropy: 0.9842, recall: 0.9673, relative_absolute_error: 0.1253, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1812, root_relative_squared_error: 0.3666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9439, f_measure: 0.9405, kappa: 0.8785, kb_relative_information_score: 285.7534, mean_absolute_error: 0.0764, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9406, predictive_accuracy: 0.9405, prior_entropy: 0.9842, recall: 0.9405, relative_absolute_error: 0.1562, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2406, root_relative_squared_error: 0.4866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9583, kappa: 0.9145, kb_relative_information_score: 298.2853, mean_absolute_error: 0.0571, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9584, predictive_accuracy: 0.9583, prior_entropy: 0.9842, recall: 0.9583, relative_absolute_error: 0.1168, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1861, root_relative_squared_error: 0.3763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9702, f_measure: 0.9554, kappa: 0.9088, kb_relative_information_score: 298.7284, mean_absolute_error: 0.0575, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9554, predictive_accuracy: 0.9554, prior_entropy: 0.9842, recall: 0.9554, relative_absolute_error: 0.1176, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1983, root_relative_squared_error: 0.4011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9583, f_measure: 0.9584, kappa: 0.9149, kb_relative_information_score: 307.0305, mean_absolute_error: 0.0417, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9585, predictive_accuracy: 0.9583, prior_entropy: 0.9842, recall: 0.9583, relative_absolute_error: 0.0852, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2041, root_relative_squared_error: 0.4128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9439, f_measure: 0.9405, kappa: 0.8785, kb_relative_information_score: 285.7534, mean_absolute_error: 0.0764, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9406, predictive_accuracy: 0.9405, prior_entropy: 0.9842, recall: 0.9405, relative_absolute_error: 0.1562, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2406, root_relative_squared_error: 0.4866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9522, kappa: 0.9021, kb_relative_information_score: 297.5018, mean_absolute_error: 0.0583, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9527, predictive_accuracy: 0.9524, prior_entropy: 0.9842, recall: 0.9524, relative_absolute_error: 0.1192, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1855, root_relative_squared_error: 0.3752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9584, kappa: 0.9151, kb_relative_information_score: 288.9891, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9587, predictive_accuracy: 0.9583, prior_entropy: 0.9842, recall: 0.9583, relative_absolute_error: 0.1508, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1962, root_relative_squared_error: 0.3968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9613, kappa: 0.9208, kb_relative_information_score: 286.7527, mean_absolute_error: 0.0783, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9613, predictive_accuracy: 0.9613, prior_entropy: 0.9842, recall: 0.9613, relative_absolute_error: 0.1601, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1912, root_relative_squared_error: 0.3868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9548, f_measure: 0.9554, kappa: 0.9088, kb_relative_information_score: 304.9659, mean_absolute_error: 0.0446, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9554, predictive_accuracy: 0.9554, prior_entropy: 0.9842, recall: 0.9554, relative_absolute_error: 0.0913, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.4273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9552, kappa: 0.9083, kb_relative_information_score: 298.6608, mean_absolute_error: 0.0564, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9556, predictive_accuracy: 0.9554, prior_entropy: 0.9842, recall: 0.9554, relative_absolute_error: 0.1154, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1837, root_relative_squared_error: 0.3716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9583, f_measure: 0.9584, kappa: 0.9149, kb_relative_information_score: 307.0305, mean_absolute_error: 0.0417, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9585, predictive_accuracy: 0.9583, prior_entropy: 0.9842, recall: 0.9583, relative_absolute_error: 0.0852, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2041, root_relative_squared_error: 0.4128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9552, kappa: 0.9083, kb_relative_information_score: 298.6608, mean_absolute_error: 0.0564, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9556, predictive_accuracy: 0.9554, prior_entropy: 0.9842, recall: 0.9554, relative_absolute_error: 0.1154, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1837, root_relative_squared_error: 0.3716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9461, f_measure: 0.9465, kappa: 0.8906, kb_relative_information_score: 298.772, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9466, predictive_accuracy: 0.9464, prior_entropy: 0.9842, recall: 0.9464, relative_absolute_error: 0.1096, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2315, root_relative_squared_error: 0.4681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9461, f_measure: 0.9465, kappa: 0.8906, kb_relative_information_score: 298.772, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9466, predictive_accuracy: 0.9464, prior_entropy: 0.9842, recall: 0.9464, relative_absolute_error: 0.1096, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2315, root_relative_squared_error: 0.4681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9461, f_measure: 0.9465, kappa: 0.8906, kb_relative_information_score: 298.772, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9466, predictive_accuracy: 0.9464, prior_entropy: 0.9842, recall: 0.9464, relative_absolute_error: 0.1096, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2315, root_relative_squared_error: 0.4681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9461, f_measure: 0.9465, kappa: 0.8906, kb_relative_information_score: 298.772, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9466, predictive_accuracy: 0.9464, prior_entropy: 0.9842, recall: 0.9464, relative_absolute_error: 0.1096, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2315, root_relative_squared_error: 0.4681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9461, f_measure: 0.9465, kappa: 0.8906, kb_relative_information_score: 298.772, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9466, predictive_accuracy: 0.9464, prior_entropy: 0.9842, recall: 0.9464, relative_absolute_error: 0.1096, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2315, root_relative_squared_error: 0.4681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9461, f_measure: 0.9465, kappa: 0.8906, kb_relative_information_score: 298.772, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9466, predictive_accuracy: 0.9464, prior_entropy: 0.9842, recall: 0.9464, relative_absolute_error: 0.1096, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2315, root_relative_squared_error: 0.4681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9461, f_measure: 0.9465, kappa: 0.8906, kb_relative_information_score: 298.772, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9466, predictive_accuracy: 0.9464, prior_entropy: 0.9842, recall: 0.9464, relative_absolute_error: 0.1096, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2315, root_relative_squared_error: 0.4681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9461, f_measure: 0.9465, kappa: 0.8906, kb_relative_information_score: 298.772, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9466, predictive_accuracy: 0.9464, prior_entropy: 0.9842, recall: 0.9464, relative_absolute_error: 0.1096, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2315, root_relative_squared_error: 0.4681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9554, kappa: 0.9088, kb_relative_information_score: 287.5304, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9554, predictive_accuracy: 0.9554, prior_entropy: 0.9842, recall: 0.9554, relative_absolute_error: 0.1582, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1859, root_relative_squared_error: 0.376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9584, kappa: 0.9151, kb_relative_information_score: 280.5562, mean_absolute_error: 0.0881, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9587, predictive_accuracy: 0.9583, prior_entropy: 0.9842, recall: 0.9583, relative_absolute_error: 0.1802, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2064, root_relative_squared_error: 0.4175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9086, f_measure: 0.9134, kappa: 0.8223, kb_relative_information_score: 276.0611, mean_absolute_error: 0.0863, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9139, predictive_accuracy: 0.9137, prior_entropy: 0.9842, recall: 0.9137, relative_absolute_error: 0.1765, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2938, root_relative_squared_error: 0.5942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9673, kappa: 0.9332, kb_relative_information_score: 309.6868, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9675, predictive_accuracy: 0.9673, prior_entropy: 0.9842, recall: 0.9673, relative_absolute_error: 0.0809, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.3369, scimark_benchmark: 1922.3298, usercpu_time_millis: 796.875, usercpu_time_millis_training: 796.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.924, f_measure: 0.9142, kappa: 0.8277, kb_relative_information_score: 276.0611, mean_absolute_error: 0.0863, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9264, predictive_accuracy: 0.9137, prior_entropy: 0.9842, recall: 0.9137, relative_absolute_error: 0.1765, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2938, root_relative_squared_error: 0.5942, scimark_benchmark: 1280.301, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9618, f_measure: 0.9614, kappa: 0.9211, kb_relative_information_score: 309.0952, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9616, predictive_accuracy: 0.9613, prior_entropy: 0.9842, recall: 0.9613, relative_absolute_error: 0.0791, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1967, root_relative_squared_error: 0.3978, scimark_benchmark: 1280.301, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9574, f_measure: 0.9583, kappa: 0.9148, kb_relative_information_score: 307.0305, mean_absolute_error: 0.0417, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9583, predictive_accuracy: 0.9583, prior_entropy: 0.9842, recall: 0.9583, relative_absolute_error: 0.0852, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2041, root_relative_squared_error: 0.4128, scimark_benchmark: 1461.2356, 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: 0.9539, f_measure: 0.9553, kappa: 0.9086, kb_relative_information_score: 304.9659, mean_absolute_error: 0.0446, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9553, predictive_accuracy: 0.9554, prior_entropy: 0.9842, recall: 0.9554, relative_absolute_error: 0.0913, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.4273, scimark_benchmark: 1461.2356, 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: 0.966, f_measure: 0.9673, kappa: 0.9332, kb_relative_information_score: 308.4522, mean_absolute_error: 0.0421, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9675, predictive_accuracy: 0.9673, prior_entropy: 0.9842, recall: 0.9673, relative_absolute_error: 0.0862, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.175, root_relative_squared_error: 0.354, scimark_benchmark: 1862.8608, usercpu_time_millis: 828.125, usercpu_time_millis_training: 828.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.966, f_measure: 0.9673, kappa: 0.9332, kb_relative_information_score: 308.4522, mean_absolute_error: 0.0421, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9675, predictive_accuracy: 0.9673, prior_entropy: 0.9842, recall: 0.9673, relative_absolute_error: 0.0862, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.175, root_relative_squared_error: 0.354, scimark_benchmark: 1787.9841, usercpu_time_millis: 984.375, usercpu_time_millis_training: 984.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.966, f_measure: 0.9673, kappa: 0.9332, kb_relative_information_score: 308.4522, mean_absolute_error: 0.0421, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9675, predictive_accuracy: 0.9673, prior_entropy: 0.9842, recall: 0.9673, relative_absolute_error: 0.0862, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.175, root_relative_squared_error: 0.354, scimark_benchmark: 1375.6818, usercpu_time_millis: 1200, usercpu_time_millis_training: 1200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9539, f_measure: 0.9553, kappa: 0.9086, kb_relative_information_score: 304.9659, mean_absolute_error: 0.0446, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9553, predictive_accuracy: 0.9554, prior_entropy: 0.9842, recall: 0.9554, relative_absolute_error: 0.0913, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.4273, scimark_benchmark: 1559.9756, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9574, f_measure: 0.9583, kappa: 0.9148, kb_relative_information_score: 307.0305, mean_absolute_error: 0.0417, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9583, predictive_accuracy: 0.9583, prior_entropy: 0.9842, recall: 0.9583, relative_absolute_error: 0.0852, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2041, root_relative_squared_error: 0.4128, scimark_benchmark: 1384.5495, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.924, f_measure: 0.9142, kappa: 0.8277, kb_relative_information_score: 276.0611, mean_absolute_error: 0.0863, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9264, predictive_accuracy: 0.9137, prior_entropy: 0.9842, recall: 0.9137, relative_absolute_error: 0.1765, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2938, root_relative_squared_error: 0.5942, scimark_benchmark: 1385.3309, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9618, f_measure: 0.9614, kappa: 0.9211, kb_relative_information_score: 309.0952, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9616, predictive_accuracy: 0.9613, prior_entropy: 0.9842, recall: 0.9613, relative_absolute_error: 0.0791, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1967, root_relative_squared_error: 0.3978, scimark_benchmark: 1640.2497, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9703, kappa: 0.9392, kb_relative_information_score: 304.1777, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9704, predictive_accuracy: 0.9702, prior_entropy: 0.9842, recall: 0.9702, relative_absolute_error: 0.1015, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1668, root_relative_squared_error: 0.3374, scimark_benchmark: 1665.974, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9643, kappa: 0.9272, kb_relative_information_score: 304.7419, mean_absolute_error: 0.0477, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9647, predictive_accuracy: 0.9643, prior_entropy: 0.9842, recall: 0.9643, relative_absolute_error: 0.0975, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1812, root_relative_squared_error: 0.3665, scimark_benchmark: 1408.135, usercpu_time_millis: 240, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.9643, kappa: 0.927, kb_relative_information_score: 311.1598, mean_absolute_error: 0.0357, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9643, predictive_accuracy: 0.9643, prior_entropy: 0.9842, recall: 0.9643, relative_absolute_error: 0.073, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.189, root_relative_squared_error: 0.3822, usercpu_time_millis: 0.061, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 0.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9618, f_measure: 0.9614, kappa: 0.9211, kb_relative_information_score: 309.0952, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9616, predictive_accuracy: 0.9613, prior_entropy: 0.9842, recall: 0.9613, relative_absolute_error: 0.0791, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1967, root_relative_squared_error: 0.3978, usercpu_time_millis: 0.407, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 0.377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9552, kappa: 0.9083, kb_relative_information_score: 298.6608, mean_absolute_error: 0.0564, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9556, predictive_accuracy: 0.9554, prior_entropy: 0.9842, recall: 0.9554, relative_absolute_error: 0.1154, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1837, root_relative_squared_error: 0.3716, scimark_benchmark: 1358.9905, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9583, f_measure: 0.9584, kappa: 0.9149, kb_relative_information_score: 307.0305, mean_absolute_error: 0.0417, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9585, predictive_accuracy: 0.9583, prior_entropy: 0.9842, recall: 0.9583, relative_absolute_error: 0.0852, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2041, root_relative_squared_error: 0.4128, scimark_benchmark: 1202.5, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9703, kappa: 0.9392, kb_relative_information_score: 304.6679, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9704, predictive_accuracy: 0.9702, prior_entropy: 0.9842, recall: 0.9702, relative_absolute_error: 0.1022, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1667, root_relative_squared_error: 0.3372, scimark_benchmark: 1263.4689, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9672, kappa: 0.933, kb_relative_information_score: 299.5835, mean_absolute_error: 0.0575, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9672, predictive_accuracy: 0.9673, prior_entropy: 0.9842, recall: 0.9673, relative_absolute_error: 0.1176, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1702, root_relative_squared_error: 0.3442, scimark_benchmark: 1361.923, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9441, f_measure: 0.9464, kappa: 0.8904, kb_relative_information_score: 297.3249, mean_absolute_error: 0.0565, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9464, predictive_accuracy: 0.9464, prior_entropy: 0.9842, recall: 0.9464, relative_absolute_error: 0.1156, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2307, root_relative_squared_error: 0.4666, scimark_benchmark: 1351.3045, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9613, kappa: 0.9208, kb_relative_information_score: 300.4867, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9613, predictive_accuracy: 0.9613, prior_entropy: 0.9842, recall: 0.9613, relative_absolute_error: 0.1086, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1969, root_relative_squared_error: 0.3982, scimark_benchmark: 1202.2244, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, f_measure: 0.9584, kappa: 0.9149, kb_relative_information_score: 296.5924, mean_absolute_error: 0.0621, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9585, predictive_accuracy: 0.9583, prior_entropy: 0.9842, recall: 0.9583, relative_absolute_error: 0.127, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1976, root_relative_squared_error: 0.3996, scimark_benchmark: 909.8465, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.9643, kappa: 0.927, kb_relative_information_score: 311.1598, mean_absolute_error: 0.0357, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9643, predictive_accuracy: 0.9643, prior_entropy: 0.9842, recall: 0.9643, relative_absolute_error: 0.073, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.189, root_relative_squared_error: 0.3822, scimark_benchmark: 1618.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9607, f_measure: 0.9285, kappa: 0.8536, kb_relative_information_score: 268.6691, mean_absolute_error: 0.1059, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9285, predictive_accuracy: 0.9286, prior_entropy: 0.9842, recall: 0.9286, relative_absolute_error: 0.2166, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.252, root_relative_squared_error: 0.5097, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9643, kappa: 0.9268, kb_relative_information_score: 287.0849, mean_absolute_error: 0.078, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9643, predictive_accuracy: 0.9643, prior_entropy: 0.9842, recall: 0.9643, relative_absolute_error: 0.1596, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1904, root_relative_squared_error: 0.3851, 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: 0.9885, f_measure: 0.9142, kappa: 0.828, kb_relative_information_score: 271.1372, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9282, predictive_accuracy: 0.9137, prior_entropy: 0.9842, recall: 0.9137, relative_absolute_error: 0.1941, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2711, root_relative_squared_error: 0.5483, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9439, f_measure: 0.9405, kappa: 0.8785, kb_relative_information_score: 285.7534, mean_absolute_error: 0.0764, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9406, predictive_accuracy: 0.9405, prior_entropy: 0.9842, recall: 0.9405, relative_absolute_error: 0.1562, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2406, root_relative_squared_error: 0.4866, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9552, kappa: 0.9083, kb_relative_information_score: 298.6608, mean_absolute_error: 0.0564, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9556, predictive_accuracy: 0.9554, prior_entropy: 0.9842, recall: 0.9554, relative_absolute_error: 0.1154, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1837, root_relative_squared_error: 0.3716, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9583, f_measure: 0.9584, kappa: 0.9149, kb_relative_information_score: 307.0305, mean_absolute_error: 0.0417, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9585, predictive_accuracy: 0.9583, prior_entropy: 0.9842, recall: 0.9583, relative_absolute_error: 0.0852, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2041, root_relative_squared_error: 0.4128, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.9643, kappa: 0.927, kb_relative_information_score: 311.1598, mean_absolute_error: 0.0357, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9643, predictive_accuracy: 0.9643, prior_entropy: 0.9842, recall: 0.9643, relative_absolute_error: 0.073, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.189, root_relative_squared_error: 0.3822, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9703, kappa: 0.9392, kb_relative_information_score: 304.6678, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9704, predictive_accuracy: 0.9702, prior_entropy: 0.9842, recall: 0.9702, relative_absolute_error: 0.1022, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1667, root_relative_squared_error: 0.3372, scimark_benchmark: 1925.3565, usercpu_time_millis: 78.125, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9672, kappa: 0.933, kb_relative_information_score: 299.5835, mean_absolute_error: 0.0575, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9672, predictive_accuracy: 0.9673, prior_entropy: 0.9842, recall: 0.9673, relative_absolute_error: 0.1176, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1702, root_relative_squared_error: 0.3442, 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: 0.9441, f_measure: 0.9464, kappa: 0.8904, kb_relative_information_score: 297.3249, mean_absolute_error: 0.0565, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9464, predictive_accuracy: 0.9464, prior_entropy: 0.9842, recall: 0.9464, relative_absolute_error: 0.1156, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2307, root_relative_squared_error: 0.4666, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9613, kappa: 0.9208, kb_relative_information_score: 300.4867, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9613, predictive_accuracy: 0.9613, prior_entropy: 0.9842, recall: 0.9613, relative_absolute_error: 0.1086, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1969, root_relative_squared_error: 0.3982, scimark_benchmark: 1892.0925, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9624, f_measure: 0.9524, kappa: 0.9028, kb_relative_information_score: 293.6391, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9525, predictive_accuracy: 0.9524, prior_entropy: 0.9842, recall: 0.9524, relative_absolute_error: 0.1352, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.4148, 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: 0.9607, f_measure: 0.9285, kappa: 0.8536, kb_relative_information_score: 268.6691, mean_absolute_error: 0.1059, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9285, predictive_accuracy: 0.9286, prior_entropy: 0.9842, recall: 0.9286, relative_absolute_error: 0.2166, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.252, root_relative_squared_error: 0.5097, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9613, kappa: 0.9208, kb_relative_information_score: 286.759, mean_absolute_error: 0.0784, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9613, predictive_accuracy: 0.9613, prior_entropy: 0.9842, recall: 0.9613, relative_absolute_error: 0.1604, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1935, root_relative_squared_error: 0.3913, 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: 0.9885, f_measure: 0.9142, kappa: 0.828, kb_relative_information_score: 271.1372, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9282, predictive_accuracy: 0.9137, prior_entropy: 0.9842, recall: 0.9137, relative_absolute_error: 0.1941, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2711, root_relative_squared_error: 0.5483, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9439, f_measure: 0.9405, kappa: 0.8785, kb_relative_information_score: 285.7534, mean_absolute_error: 0.0764, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9406, predictive_accuracy: 0.9405, prior_entropy: 0.9842, recall: 0.9405, relative_absolute_error: 0.1562, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2406, root_relative_squared_error: 0.4866, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9672, kappa: 0.933, kb_relative_information_score: 299.5835, mean_absolute_error: 0.0575, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9672, predictive_accuracy: 0.9673, prior_entropy: 0.9842, recall: 0.9673, relative_absolute_error: 0.1176, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1702, root_relative_squared_error: 0.3442, scimark_benchmark: 1370.9452, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, f_measure: 0.9494, kappa: 0.8964, kb_relative_information_score: 292.3683, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9494, predictive_accuracy: 0.9494, prior_entropy: 0.9842, recall: 0.9494, relative_absolute_error: 0.1372, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2208, root_relative_squared_error: 0.4466, scimark_benchmark: 1834.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9703, kappa: 0.9392, kb_relative_information_score: 304.6665, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9704, predictive_accuracy: 0.9702, prior_entropy: 0.9842, recall: 0.9702, relative_absolute_error: 0.1022, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1667, root_relative_squared_error: 0.3372, scimark_benchmark: 1834.908, usercpu_time_millis: 78.125, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9613, kappa: 0.9208, kb_relative_information_score: 300.4867, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9613, predictive_accuracy: 0.9613, prior_entropy: 0.9842, recall: 0.9613, relative_absolute_error: 0.1086, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1969, root_relative_squared_error: 0.3982, scimark_benchmark: 1834.908, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9613, kappa: 0.9208, kb_relative_information_score: 300.4867, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9613, predictive_accuracy: 0.9613, prior_entropy: 0.9842, recall: 0.9613, relative_absolute_error: 0.1086, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1969, root_relative_squared_error: 0.3982, scimark_benchmark: 1788.6668, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9553, kappa: 0.9086, kb_relative_information_score: 298.6776, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9553, predictive_accuracy: 0.9554, prior_entropy: 0.9842, recall: 0.9554, relative_absolute_error: 0.1127, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2042, root_relative_squared_error: 0.4129, scimark_benchmark: 1788.6668, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9675, f_measure: 0.9613, kappa: 0.9209, kb_relative_information_score: 299.795, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9614, predictive_accuracy: 0.9613, prior_entropy: 0.9842, recall: 0.9613, relative_absolute_error: 0.1162, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1918, root_relative_squared_error: 0.3878, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9732, kappa: 0.9453, kb_relative_information_score: 308.712, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9733, predictive_accuracy: 0.9732, prior_entropy: 0.9842, recall: 0.9732, relative_absolute_error: 0.0888, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1564, root_relative_squared_error: 0.3164, 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: 0.9903, f_measure: 0.9702, kappa: 0.939, kb_relative_information_score: 300.9999, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9703, predictive_accuracy: 0.9702, prior_entropy: 0.9842, recall: 0.9702, relative_absolute_error: 0.1144, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1609, root_relative_squared_error: 0.3255, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9609, f_measure: 0.9613, kappa: 0.9209, kb_relative_information_score: 309.0952, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9614, predictive_accuracy: 0.9613, prior_entropy: 0.9842, recall: 0.9613, relative_absolute_error: 0.0791, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1967, root_relative_squared_error: 0.3978, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9583, f_measure: 0.9584, kappa: 0.9149, kb_relative_information_score: 307.0305, mean_absolute_error: 0.0417, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9585, predictive_accuracy: 0.9583, prior_entropy: 0.9842, recall: 0.9583, relative_absolute_error: 0.0852, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2041, root_relative_squared_error: 0.4128, scimark_benchmark: 1132.0702, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9672, kappa: 0.933, kb_relative_information_score: 299.5835, mean_absolute_error: 0.0575, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9672, predictive_accuracy: 0.9673, prior_entropy: 0.9842, recall: 0.9673, relative_absolute_error: 0.1176, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1702, root_relative_squared_error: 0.3442, scimark_benchmark: 1100.8721, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, f_measure: 0.9494, kappa: 0.8964, kb_relative_information_score: 292.3683, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9494, predictive_accuracy: 0.9494, prior_entropy: 0.9842, recall: 0.9494, relative_absolute_error: 0.1372, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2208, root_relative_squared_error: 0.4466, scimark_benchmark: 928.8787, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9644, kappa: 0.9275, kb_relative_information_score: 292.3965, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9656, predictive_accuracy: 0.9643, prior_entropy: 0.9842, recall: 0.9643, relative_absolute_error: 0.1436, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1852, root_relative_squared_error: 0.3747, scimark_benchmark: 1447.2612,

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