OpenML
Supervised Classification on mnist_784

Supervised Classification on mnist_784

Task 3573 Supervised Classification mnist_784 13167 runs submitted
0 likes downloaded by 7 people , 9 total downloads 0 issues
Visibility: Public
  • OpenML-CC18 OpenML100 study_1 study_123 study_41 study_99 under100k vision
Issue #Downvotes for this reason By


Metric:

13167 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9712, kappa: 0.968, kb_relative_information_score: 0.9606, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9713, predictive_accuracy: 0.9712, prior_entropy: 3.3198, recall: 0.9712, relative_absolute_error: 0.0638, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0667, root_relative_squared_error: 0.2223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, f_measure: 0.9209, kappa: 0.9122, kb_relative_information_score: 0.9115, mean_absolute_error: 0.0203, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9209, predictive_accuracy: 0.921, prior_entropy: 3.3198, recall: 0.921, relative_absolute_error: 0.1128, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1189, root_relative_squared_error: 0.3962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.8975, kappa: 0.8863, kb_relative_information_score: 0.8334, mean_absolute_error: 0.0491, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8977, predictive_accuracy: 0.8977, prior_entropy: 3.3198, recall: 0.8977, relative_absolute_error: 0.273, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1308, root_relative_squared_error: 0.4361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9327, kappa: 0.9253, kb_relative_information_score: 0.9038, mean_absolute_error: 0.0281, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9327, predictive_accuracy: 0.9328, prior_entropy: 3.3198, recall: 0.9328, relative_absolute_error: 0.1563, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1027, root_relative_squared_error: 0.3425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.976, kappa: 0.9733, kb_relative_information_score: 0.973, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.976, predictive_accuracy: 0.976, prior_entropy: 3.3198, recall: 0.976, relative_absolute_error: 0.0389, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0605, root_relative_squared_error: 0.2016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9749, kappa: 0.9721, kb_relative_information_score: 0.9705, mean_absolute_error: 0.0081, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9749, predictive_accuracy: 0.9749, prior_entropy: 3.3198, recall: 0.9749, relative_absolute_error: 0.045, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0621, root_relative_squared_error: 0.2072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.8885, kappa: 0.8765, kb_relative_information_score: 0.8111, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8886, predictive_accuracy: 0.8889, prior_entropy: 3.3198, recall: 0.8889, relative_absolute_error: 0.309, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1378, root_relative_squared_error: 0.4595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9804, kappa: 0.9782, kb_relative_information_score: 0.9804, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9804, predictive_accuracy: 0.9804, prior_entropy: 3.3198, recall: 0.9804, relative_absolute_error: 0.0258, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0551, root_relative_squared_error: 0.1838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9822, kappa: 0.9803, kb_relative_information_score: 0.9821, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9823, predictive_accuracy: 0.9822, prior_entropy: 3.3198, recall: 0.9822, relative_absolute_error: 0.0232, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0533, root_relative_squared_error: 0.1776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9766, kappa: 0.974, kb_relative_information_score: 0.9713, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9766, predictive_accuracy: 0.9766, prior_entropy: 3.3198, recall: 0.9766, relative_absolute_error: 0.0447, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0597, root_relative_squared_error: 0.1992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9526, kappa: 0.9473, kb_relative_information_score: 0.9185, mean_absolute_error: 0.0253, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9527, predictive_accuracy: 0.9526, prior_entropy: 3.3198, recall: 0.9526, relative_absolute_error: 0.1405, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.089, root_relative_squared_error: 0.2967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9481, kappa: 0.9424, kb_relative_information_score: 0.9348, mean_absolute_error: 0.0179, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9481, predictive_accuracy: 0.9482, prior_entropy: 3.3198, recall: 0.9482, relative_absolute_error: 0.0996, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0916, root_relative_squared_error: 0.3055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9054, kappa: 0.8951, kb_relative_information_score: 0.853, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9056, predictive_accuracy: 0.9056, prior_entropy: 3.3198, recall: 0.9056, relative_absolute_error: 0.2381, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1233, root_relative_squared_error: 0.4112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9812, kappa: 0.9791, kb_relative_information_score: 0.981, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9812, predictive_accuracy: 0.9812, prior_entropy: 3.3198, recall: 0.9812, relative_absolute_error: 0.0257, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.054, root_relative_squared_error: 0.1802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9829, kappa: 0.981, kb_relative_information_score: 0.9831, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9829, predictive_accuracy: 0.9829, prior_entropy: 3.3198, recall: 0.9829, relative_absolute_error: 0.0215, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0526, root_relative_squared_error: 0.1752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9782, kappa: 0.9758, kb_relative_information_score: 0.9763, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9783, predictive_accuracy: 0.9782, prior_entropy: 3.3198, recall: 0.9782, relative_absolute_error: 0.0346, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0571, root_relative_squared_error: 0.1904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9814, kappa: 0.9793, kb_relative_information_score: 0.9815, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9814, predictive_accuracy: 0.9814, prior_entropy: 3.3198, recall: 0.9814, relative_absolute_error: 0.0226, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0556, root_relative_squared_error: 0.1854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9313, kappa: 0.9238, kb_relative_information_score: 0.902, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9314, predictive_accuracy: 0.9314, prior_entropy: 3.3198, recall: 0.9314, relative_absolute_error: 0.1588, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.104, root_relative_squared_error: 0.3466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9812, kappa: 0.9791, kb_relative_information_score: 0.981, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9812, predictive_accuracy: 0.9812, prior_entropy: 3.3198, recall: 0.9812, relative_absolute_error: 0.0257, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.054, root_relative_squared_error: 0.1802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kappa: -0, kb_relative_information_score: 0.0579, mean_absolute_error: 0.1802, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, predictive_accuracy: 0.0989, prior_entropy: 3.3198, recall: 0.0989, relative_absolute_error: 1.0015, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4245, root_relative_squared_error: 1.4153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9794, kappa: 0.9771, kb_relative_information_score: 0.9789, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9794, predictive_accuracy: 0.9794, prior_entropy: 3.3198, recall: 0.9794, relative_absolute_error: 0.0281, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0568, root_relative_squared_error: 0.1895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.8657, kappa: 0.8514, kb_relative_information_score: 0.6861, mean_absolute_error: 0.0903, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8667, predictive_accuracy: 0.8663, prior_entropy: 3.3198, recall: 0.8663, relative_absolute_error: 0.5017, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1728, root_relative_squared_error: 0.576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9792, kappa: 0.9769, kb_relative_information_score: 0.9775, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9792, predictive_accuracy: 0.9792, prior_entropy: 3.3198, recall: 0.9792, relative_absolute_error: 0.0325, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0561, root_relative_squared_error: 0.1871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9808, kappa: 0.9787, kb_relative_information_score: 0.9808, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9808, predictive_accuracy: 0.9808, prior_entropy: 3.3198, recall: 0.9808, relative_absolute_error: 0.0237, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0564, root_relative_squared_error: 0.1881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9609, kappa: 0.9566, kb_relative_information_score: 0.9616, mean_absolute_error: 0.0085, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9609, predictive_accuracy: 0.9609, prior_entropy: 3.3198, recall: 0.9609, relative_absolute_error: 0.0471, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0799, root_relative_squared_error: 0.2663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9795, kappa: 0.9772, kb_relative_information_score: 0.9785, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9795, predictive_accuracy: 0.9795, prior_entropy: 3.3198, recall: 0.9795, relative_absolute_error: 0.0308, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0553, root_relative_squared_error: 0.1843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5308, f_measure: 0.1634, kappa: 0.0737, kb_relative_information_score: 0.1283, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.2813, predictive_accuracy: 0.1666, prior_entropy: 3.3198, recall: 0.1666, relative_absolute_error: 0.9265, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4081, root_relative_squared_error: 1.3607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9454, kappa: 0.9394, kb_relative_information_score: 0.9174, mean_absolute_error: 0.0245, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9454, predictive_accuracy: 0.9455, prior_entropy: 3.3198, recall: 0.9455, relative_absolute_error: 0.1359, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0931, root_relative_squared_error: 0.3103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kappa: 0, kb_relative_information_score: 0.0571, mean_absolute_error: 0.1805, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, predictive_accuracy: 0.0976, prior_entropy: 3.3198, recall: 0.0976, relative_absolute_error: 1.003, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4248, root_relative_squared_error: 1.4163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9821, kappa: 0.9801, kb_relative_information_score: 0.9824, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9821, predictive_accuracy: 0.9821, prior_entropy: 3.3198, recall: 0.9821, relative_absolute_error: 0.0221, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0537, root_relative_squared_error: 0.1789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9279, kappa: 0.9201, kb_relative_information_score: 0.896, mean_absolute_error: 0.0304, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9279, predictive_accuracy: 0.9281, prior_entropy: 3.3198, recall: 0.9281, relative_absolute_error: 0.1689, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1071, root_relative_squared_error: 0.3569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9759, kappa: 0.9732, kb_relative_information_score: 0.9721, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9759, predictive_accuracy: 0.9759, prior_entropy: 3.3198, recall: 0.9759, relative_absolute_error: 0.0427, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0605, root_relative_squared_error: 0.2016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6171, f_measure: 0.3183, kappa: 0.2336, kb_relative_information_score: 0.2775, mean_absolute_error: 0.1381, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.3459, predictive_accuracy: 0.3097, prior_entropy: 3.3198, recall: 0.3097, relative_absolute_error: 0.7672, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3716, root_relative_squared_error: 1.2387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9606, kappa: 0.9562, kb_relative_information_score: 0.9607, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9606, predictive_accuracy: 0.9606, prior_entropy: 3.3198, recall: 0.9606, relative_absolute_error: 0.046, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0822, root_relative_squared_error: 0.274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9824, kappa: 0.9804, kb_relative_information_score: 0.9827, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9824, predictive_accuracy: 0.9824, prior_entropy: 3.3198, recall: 0.9824, relative_absolute_error: 0.0214, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0538, root_relative_squared_error: 0.1794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6336, f_measure: 0.3401, kappa: 0.2665, kb_relative_information_score: 0.3088, mean_absolute_error: 0.1319, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.3458, predictive_accuracy: 0.3403, prior_entropy: 3.3198, recall: 0.3403, relative_absolute_error: 0.7333, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3632, root_relative_squared_error: 1.211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9794, kappa: 0.9771, kb_relative_information_score: 0.9792, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9794, predictive_accuracy: 0.9794, prior_entropy: 3.3198, recall: 0.9794, relative_absolute_error: 0.0277, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0565, root_relative_squared_error: 0.1884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9579, f_measure: 0.9415, kappa: 0.9347, kb_relative_information_score: 0.9387, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9425, predictive_accuracy: 0.9412, prior_entropy: 3.3198, recall: 0.9412, relative_absolute_error: 0.07, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1047, root_relative_squared_error: 0.349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9738, kappa: 0.9709, kb_relative_information_score: 0.9704, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9738, predictive_accuracy: 0.9738, prior_entropy: 3.3198, recall: 0.9738, relative_absolute_error: 0.0447, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0626, root_relative_squared_error: 0.2089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9753, kappa: 0.9725, kb_relative_information_score: 0.9707, mean_absolute_error: 0.0081, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9753, predictive_accuracy: 0.9753, prior_entropy: 3.3198, recall: 0.9753, relative_absolute_error: 0.045, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.062, root_relative_squared_error: 0.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kappa: 0, kb_relative_information_score: 0.058, mean_absolute_error: 0.1802, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, predictive_accuracy: 0.0989, prior_entropy: 3.3198, recall: 0.0989, relative_absolute_error: 1.0015, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4245, root_relative_squared_error: 1.4153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kappa: 0, kb_relative_information_score: 0.0592, mean_absolute_error: 0.1799, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, predictive_accuracy: 0.1007, prior_entropy: 3.3198, recall: 0.1007, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4241, root_relative_squared_error: 1.4139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.8978, kappa: 0.8867, kb_relative_information_score: 0.8289, mean_absolute_error: 0.0509, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8981, predictive_accuracy: 0.898, prior_entropy: 3.3198, recall: 0.898, relative_absolute_error: 0.2827, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1318, root_relative_squared_error: 0.4393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9756, kappa: 0.9729, kb_relative_information_score: 0.9701, mean_absolute_error: 0.0085, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9756, predictive_accuracy: 0.9756, prior_entropy: 3.3198, recall: 0.9756, relative_absolute_error: 0.0474, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0607, root_relative_squared_error: 0.2023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5328, f_measure: 0.1519, kappa: 0.0654, kb_relative_information_score: 0.1198, mean_absolute_error: 0.1683, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.1736, predictive_accuracy: 0.1585, prior_entropy: 3.3198, recall: 0.1585, relative_absolute_error: 0.9353, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4102, root_relative_squared_error: 1.3677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.977, kappa: 0.9745, kb_relative_information_score: 0.9757, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9771, predictive_accuracy: 0.977, prior_entropy: 3.3198, recall: 0.977, relative_absolute_error: 0.0338, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0591, root_relative_squared_error: 0.1969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kappa: -0, kb_relative_information_score: 0.0593, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, predictive_accuracy: 0.101, prior_entropy: 3.3198, recall: 0.101, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.424, root_relative_squared_error: 1.4136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9413, kappa: 0.9348, kb_relative_information_score: 0.9326, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9413, predictive_accuracy: 0.9414, prior_entropy: 3.3198, recall: 0.9414, relative_absolute_error: 0.0911, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1011, root_relative_squared_error: 0.3371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8347, f_measure: 0.6975, kappa: 0.6644, kb_relative_information_score: 0.6831, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.6971, predictive_accuracy: 0.6981, prior_entropy: 3.3198, recall: 0.6981, relative_absolute_error: 0.3356, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2457, root_relative_squared_error: 0.8192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kappa: -0, kb_relative_information_score: 0.0591, mean_absolute_error: 0.1799, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, predictive_accuracy: 0.1007, prior_entropy: 3.3198, recall: 0.1007, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4241, root_relative_squared_error: 1.4139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9364, kappa: 0.9294, kb_relative_information_score: 0.8678, mean_absolute_error: 0.0403, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9365, predictive_accuracy: 0.9364, prior_entropy: 3.3198, recall: 0.9364, relative_absolute_error: 0.2241, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.109, root_relative_squared_error: 0.3632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9623, kappa: 0.9581, kb_relative_information_score: 0.949, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9623, predictive_accuracy: 0.9623, prior_entropy: 3.3198, recall: 0.9623, relative_absolute_error: 0.0836, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0767, root_relative_squared_error: 0.2558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9815, kappa: 0.9794, kb_relative_information_score: 0.9816, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9815, predictive_accuracy: 0.9815, prior_entropy: 3.3198, recall: 0.9815, relative_absolute_error: 0.0227, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0552, root_relative_squared_error: 0.1842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9051, kappa: 0.8947, kb_relative_information_score: 0.8267, mean_absolute_error: 0.0511, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9053, predictive_accuracy: 0.9053, prior_entropy: 3.3198, recall: 0.9053, relative_absolute_error: 0.2842, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1293, root_relative_squared_error: 0.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9652, kappa: 0.9613, kb_relative_information_score: 0.9658, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9652, predictive_accuracy: 0.9652, prior_entropy: 3.3198, recall: 0.9652, relative_absolute_error: 0.0414, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.076, root_relative_squared_error: 0.2533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.9283, kappa: 0.9204, kb_relative_information_score: 0.9101, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9282, predictive_accuracy: 0.9284, prior_entropy: 3.3198, recall: 0.9284, relative_absolute_error: 0.1306, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1111, root_relative_squared_error: 0.3703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9792, kappa: 0.9768, kb_relative_information_score: 0.9784, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9792, predictive_accuracy: 0.9792, prior_entropy: 3.3198, recall: 0.9792, relative_absolute_error: 0.0308, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0559, root_relative_squared_error: 0.1865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8974, f_measure: 0.8114, kappa: 0.7906, kb_relative_information_score: 0.8028, mean_absolute_error: 0.0378, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8116, predictive_accuracy: 0.8116, prior_entropy: 3.3198, recall: 0.8116, relative_absolute_error: 0.2099, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.6456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9519, kappa: 0.9466, kb_relative_information_score: 0.937, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9519, predictive_accuracy: 0.952, prior_entropy: 3.3198, recall: 0.952, relative_absolute_error: 0.0988, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0886, root_relative_squared_error: 0.2955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kappa: -0, kb_relative_information_score: 0.0588, mean_absolute_error: 0.1799, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, predictive_accuracy: 0.1003, prior_entropy: 3.3198, recall: 0.1003, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4242, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9023, kappa: 0.8915, kb_relative_information_score: 0.8181, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9028, predictive_accuracy: 0.9024, prior_entropy: 3.3198, recall: 0.9024, relative_absolute_error: 0.3044, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1324, root_relative_squared_error: 0.4414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9528, kappa: 0.9476, kb_relative_information_score: 0.9378, mean_absolute_error: 0.0179, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9528, predictive_accuracy: 0.9528, prior_entropy: 3.3198, recall: 0.9528, relative_absolute_error: 0.0993, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0863, root_relative_squared_error: 0.2877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5046, kappa: 0.0092, kb_relative_information_score: 0.0682, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, predictive_accuracy: 0.1096, prior_entropy: 3.3198, recall: 0.1096, relative_absolute_error: 0.9896, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.422, root_relative_squared_error: 1.4068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.8911, kappa: 0.8793, kb_relative_information_score: 0.7714, mean_absolute_error: 0.0681, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8916, predictive_accuracy: 0.8914, prior_entropy: 3.3198, recall: 0.8914, relative_absolute_error: 0.3784, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1468, root_relative_squared_error: 0.4894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9712, kappa: 0.968, kb_relative_information_score: 0.9615, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9712, predictive_accuracy: 0.9712, prior_entropy: 3.3198, recall: 0.9712, relative_absolute_error: 0.0614, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0663, root_relative_squared_error: 0.2209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9016, kappa: 0.8908, kb_relative_information_score: 0.8434, mean_absolute_error: 0.0456, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9018, predictive_accuracy: 0.9018, prior_entropy: 3.3198, recall: 0.9018, relative_absolute_error: 0.2533, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1268, root_relative_squared_error: 0.4227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kappa: -0, kb_relative_information_score: 0.0598, mean_absolute_error: 0.1796, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, predictive_accuracy: 0.1018, prior_entropy: 3.3198, recall: 0.1018, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4238, root_relative_squared_error: 1.413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9624, kappa: 0.9582, kb_relative_information_score: 0.9626, mean_absolute_error: 0.0081, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9624, predictive_accuracy: 0.9624, prior_entropy: 3.3198, recall: 0.9624, relative_absolute_error: 0.0451, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0797, root_relative_squared_error: 0.2656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5087, kappa: 0.0174, kb_relative_information_score: 0.074, mean_absolute_error: 0.1772, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, predictive_accuracy: 0.1141, prior_entropy: 3.3198, recall: 0.1141, relative_absolute_error: 0.9847, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4209, root_relative_squared_error: 1.4034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.9547, kappa: 0.9497, kb_relative_information_score: 0.9509, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9547, predictive_accuracy: 0.9547, prior_entropy: 3.3198, recall: 0.9547, relative_absolute_error: 0.0631, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0888, root_relative_squared_error: 0.2962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9064, kappa: 0.8961, kb_relative_information_score: 0.8532, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9065, predictive_accuracy: 0.9065, prior_entropy: 3.3198, recall: 0.9065, relative_absolute_error: 0.2378, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1232, root_relative_squared_error: 0.4108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kappa: 0, kb_relative_information_score: 0.0612, mean_absolute_error: 0.1792, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, predictive_accuracy: 0.1039, prior_entropy: 3.3198, recall: 0.1039, relative_absolute_error: 0.996, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4233, root_relative_squared_error: 1.4114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.98, kappa: 0.9777, kb_relative_information_score: 0.9801, mean_absolute_error: 0.0045, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.98, predictive_accuracy: 0.98, prior_entropy: 3.3198, recall: 0.98, relative_absolute_error: 0.0252, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0567, root_relative_squared_error: 0.189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.953, kappa: 0.9477, kb_relative_information_score: 0.9296, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.953, predictive_accuracy: 0.953, prior_entropy: 3.3198, recall: 0.953, relative_absolute_error: 0.1181, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0864, root_relative_squared_error: 0.288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9728, kappa: 0.9698, kb_relative_information_score: 0.967, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9729, predictive_accuracy: 0.9728, prior_entropy: 3.3198, recall: 0.9728, relative_absolute_error: 0.0502, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0643, root_relative_squared_error: 0.2144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.9386, kappa: 0.9318, kb_relative_information_score: 0.9316, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9386, predictive_accuracy: 0.9386, prior_entropy: 3.3198, recall: 0.9386, relative_absolute_error: 0.0881, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1044, root_relative_squared_error: 0.3481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9693, kappa: 0.9659, kb_relative_information_score: 0.9633, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9693, predictive_accuracy: 0.9693, prior_entropy: 3.3198, recall: 0.9693, relative_absolute_error: 0.0556, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0696, root_relative_squared_error: 0.2322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.8514, kappa: 0.8348, kb_relative_information_score: 0.844, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8515, predictive_accuracy: 0.8513, prior_entropy: 3.3198, recall: 0.8513, relative_absolute_error: 0.1652, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1724, root_relative_squared_error: 0.5749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9499, kappa: 0.9444, kb_relative_information_score: 0.9315, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9499, predictive_accuracy: 0.95, prior_entropy: 3.3198, recall: 0.95, relative_absolute_error: 0.1112, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0888, root_relative_squared_error: 0.2962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9821, kappa: 0.9801, kb_relative_information_score: 0.9825, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9821, predictive_accuracy: 0.9821, prior_entropy: 3.3198, recall: 0.9821, relative_absolute_error: 0.0221, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0535, root_relative_squared_error: 0.1784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9821, kappa: 0.9801, kb_relative_information_score: 0.9825, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9821, predictive_accuracy: 0.9821, prior_entropy: 3.3198, recall: 0.9821, relative_absolute_error: 0.0221, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0535, root_relative_squared_error: 0.1784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9821, kappa: 0.9801, kb_relative_information_score: 0.9825, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9821, predictive_accuracy: 0.9821, prior_entropy: 3.3198, recall: 0.9821, relative_absolute_error: 0.0221, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0535, root_relative_squared_error: 0.1784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9821, kappa: 0.9801, kb_relative_information_score: 0.9825, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9821, predictive_accuracy: 0.9821, prior_entropy: 3.3198, recall: 0.9821, relative_absolute_error: 0.0221, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0535, root_relative_squared_error: 0.1784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9821, kappa: 0.9801, kb_relative_information_score: 0.9825, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9821, predictive_accuracy: 0.9821, prior_entropy: 3.3198, recall: 0.9821, relative_absolute_error: 0.0221, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0535, root_relative_squared_error: 0.1784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9648, kappa: 0.9609, kb_relative_information_score: 0.9606, mean_absolute_error: 0.0098, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9648, predictive_accuracy: 0.9648, prior_entropy: 3.3198, recall: 0.9648, relative_absolute_error: 0.0544, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0766, root_relative_squared_error: 0.2555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9648, kappa: 0.9609, kb_relative_information_score: 0.9606, mean_absolute_error: 0.0098, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9648, predictive_accuracy: 0.9648, prior_entropy: 3.3198, recall: 0.9648, relative_absolute_error: 0.0544, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0766, root_relative_squared_error: 0.2555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9648, kappa: 0.9609, kb_relative_information_score: 0.9606, mean_absolute_error: 0.0098, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9648, predictive_accuracy: 0.9648, prior_entropy: 3.3198, recall: 0.9648, relative_absolute_error: 0.0544, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0766, root_relative_squared_error: 0.2555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9648, kappa: 0.9609, kb_relative_information_score: 0.9606, mean_absolute_error: 0.0098, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9648, predictive_accuracy: 0.9648, prior_entropy: 3.3198, recall: 0.9648, relative_absolute_error: 0.0544, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0766, root_relative_squared_error: 0.2555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9648, kappa: 0.9609, kb_relative_information_score: 0.9606, mean_absolute_error: 0.0098, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9648, predictive_accuracy: 0.9648, prior_entropy: 3.3198, recall: 0.9648, relative_absolute_error: 0.0544, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0766, root_relative_squared_error: 0.2555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.956, kappa: 0.9511, kb_relative_information_score: 0.9461, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.956, predictive_accuracy: 0.956, prior_entropy: 3.3198, recall: 0.956, relative_absolute_error: 0.079, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0858, root_relative_squared_error: 0.2861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9711, kappa: 0.9679, kb_relative_information_score: 0.96, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9711, predictive_accuracy: 0.9711, prior_entropy: 3.3198, recall: 0.9711, relative_absolute_error: 0.0642, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0671, root_relative_squared_error: 0.2236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9711, kappa: 0.9679, kb_relative_information_score: 0.96, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9711, predictive_accuracy: 0.9711, prior_entropy: 3.3198, recall: 0.9711, relative_absolute_error: 0.0642, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0671, root_relative_squared_error: 0.2236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9711, kappa: 0.9679, kb_relative_information_score: 0.96, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9711, predictive_accuracy: 0.9711, prior_entropy: 3.3198, recall: 0.9711, relative_absolute_error: 0.0642, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0671, root_relative_squared_error: 0.2236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9711, kappa: 0.9679, kb_relative_information_score: 0.96, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9711, predictive_accuracy: 0.9711, prior_entropy: 3.3198, recall: 0.9711, relative_absolute_error: 0.0642, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0671, root_relative_squared_error: 0.2236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.956, kappa: 0.9511, kb_relative_information_score: 0.9461, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.956, predictive_accuracy: 0.956, prior_entropy: 3.3198, recall: 0.956, relative_absolute_error: 0.079, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0858, root_relative_squared_error: 0.2861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.956, kappa: 0.9511, kb_relative_information_score: 0.9461, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.956, predictive_accuracy: 0.956, prior_entropy: 3.3198, recall: 0.956, relative_absolute_error: 0.079, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0858, root_relative_squared_error: 0.2861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.956, kappa: 0.9511, kb_relative_information_score: 0.9461, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.956, predictive_accuracy: 0.956, prior_entropy: 3.3198, recall: 0.956, relative_absolute_error: 0.079, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0858, root_relative_squared_error: 0.2861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.956, kappa: 0.9511, kb_relative_information_score: 0.9461, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.956, predictive_accuracy: 0.956, prior_entropy: 3.3198, recall: 0.956, relative_absolute_error: 0.079, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0858, root_relative_squared_error: 0.2861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9816, kappa: 0.9795, kb_relative_information_score: 0.9811, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9816, predictive_accuracy: 0.9816, prior_entropy: 3.3198, recall: 0.9816, relative_absolute_error: 0.0255, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0538, root_relative_squared_error: 0.1795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9816, kappa: 0.9795, kb_relative_information_score: 0.9811, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9816, predictive_accuracy: 0.9816, prior_entropy: 3.3198, recall: 0.9816, relative_absolute_error: 0.0255, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0538, root_relative_squared_error: 0.1795,

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