Task
Supervised Classification on mfeat-fourier

Supervised Classification on mfeat-fourier

Task 14 Supervised Classification mfeat-fourier 24107 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_50 study_7 study_70 study_73 study_98 study_99 under100k under1m
Issue #Downvotes for this reason By


Metric:

24107 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: 0.9795, f_measure: 0.8059, kappa: 0.7856, kb_relative_information_score: 1524.3269, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8064, predictive_accuracy: 0.807, prior_entropy: 3.3219, recall: 0.807, relative_absolute_error: 0.3821, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1674, root_relative_squared_error: 0.5581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.8222, kappa: 0.8022, kb_relative_information_score: 41.0434, mean_absolute_error: 0.179, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8236, predictive_accuracy: 0.822, prior_entropy: 3.3219, recall: 0.822, relative_absolute_error: 0.9946, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2984, root_relative_squared_error: 0.9946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.7936, kappa: 0.7706, kb_relative_information_score: 1522.2834, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7957, predictive_accuracy: 0.7935, prior_entropy: 3.3219, recall: 0.7935, relative_absolute_error: 0.3588, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1712, root_relative_squared_error: 0.5708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.8371, kappa: 0.8189, kb_relative_information_score: 1608.657, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8385, predictive_accuracy: 0.837, prior_entropy: 3.3219, recall: 0.837, relative_absolute_error: 0.3163, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.154, root_relative_squared_error: 0.5132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.8681, kappa: 0.8533, kb_relative_information_score: 1683.7273, mean_absolute_error: 0.0467, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8687, predictive_accuracy: 0.868, prior_entropy: 3.3219, recall: 0.868, relative_absolute_error: 0.2595, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1405, root_relative_squared_error: 0.4682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.7947, kappa: 0.7644, kb_relative_information_score: 1486.4311, mean_absolute_error: 0.0763, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8117, predictive_accuracy: 0.788, prior_entropy: 3.3219, recall: 0.788, relative_absolute_error: 0.4241, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1769, root_relative_squared_error: 0.5896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.907, f_measure: 0.5681, kappa: 0.5367, kb_relative_information_score: 734.0965, mean_absolute_error: 0.1457, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6105, predictive_accuracy: 0.583, prior_entropy: 3.3219, recall: 0.583, relative_absolute_error: 0.8092, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2559, root_relative_squared_error: 0.8528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.8775, kappa: 0.8639, kb_relative_information_score: 1732.4987, mean_absolute_error: 0.0401, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8778, predictive_accuracy: 0.8775, prior_entropy: 3.3219, recall: 0.8775, relative_absolute_error: 0.2227, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1318, root_relative_squared_error: 0.4394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5896, kappa: 0.0689, kb_relative_information_score: 53.1557, mean_absolute_error: 0.1783, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.162, prior_entropy: 3.3219, recall: 0.162, relative_absolute_error: 0.9905, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.298, root_relative_squared_error: 0.9935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4191, kappa: -0.0294, kb_relative_information_score: -0.0359, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.0735, prior_entropy: 3.3219, recall: 0.0735, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3002, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9652, f_measure: 0.754, kappa: 0.7256, kb_relative_information_score: 1476.8641, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7595, predictive_accuracy: 0.753, prior_entropy: 3.3219, recall: 0.753, relative_absolute_error: 0.3643, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.6163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.8396, kappa: 0.8206, kb_relative_information_score: 34.5156, mean_absolute_error: 0.1792, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8423, predictive_accuracy: 0.8385, prior_entropy: 3.3219, recall: 0.8385, relative_absolute_error: 0.9955, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2986, root_relative_squared_error: 0.9955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.8416, kappa: 0.8244, kb_relative_information_score: 1602.0475, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.842, predictive_accuracy: 0.842, prior_entropy: 3.3219, recall: 0.842, relative_absolute_error: 0.3291, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1535, root_relative_squared_error: 0.5117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.8275, kappa: 0.8083, kb_relative_information_score: 1559.7787, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8282, predictive_accuracy: 0.8275, prior_entropy: 3.3219, recall: 0.8275, relative_absolute_error: 0.3599, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1592, root_relative_squared_error: 0.5308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8914, f_measure: 0.8015, kappa: 0.7828, kb_relative_information_score: 1591.1088, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8062, predictive_accuracy: 0.8045, prior_entropy: 3.3219, recall: 0.8045, relative_absolute_error: 0.2172, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1977, root_relative_squared_error: 0.6591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.7995, kappa: 0.7761, kb_relative_information_score: 1577.8152, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.802, predictive_accuracy: 0.7985, prior_entropy: 3.3219, recall: 0.7985, relative_absolute_error: 0.3108, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1663, root_relative_squared_error: 0.5543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5411, f_measure: 0.1633, kappa: 0.0822, kb_relative_information_score: 272.4086, mean_absolute_error: 0.1652, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6698, predictive_accuracy: 0.174, prior_entropy: 3.3219, recall: 0.174, relative_absolute_error: 0.9178, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4064, root_relative_squared_error: 1.3548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9139, f_measure: 0.8451, kappa: 0.8278, kb_relative_information_score: 1675.8152, mean_absolute_error: 0.031, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8458, predictive_accuracy: 0.845, prior_entropy: 3.3219, recall: 0.845, relative_absolute_error: 0.1722, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1761, root_relative_squared_error: 0.5869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9122, f_measure: 0.8418, kappa: 0.8244, kb_relative_information_score: 1669.5406, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8418, predictive_accuracy: 0.842, prior_entropy: 3.3219, recall: 0.842, relative_absolute_error: 0.1756, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1778, root_relative_squared_error: 0.5925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.7924, kappa: 0.7689, kb_relative_information_score: 1548.9148, mean_absolute_error: 0.0594, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7949, predictive_accuracy: 0.792, prior_entropy: 3.3219, recall: 0.792, relative_absolute_error: 0.3301, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1701, root_relative_squared_error: 0.5669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.826, kappa: 0.8067, kb_relative_information_score: 1563.6714, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8276, predictive_accuracy: 0.826, prior_entropy: 3.3219, recall: 0.826, relative_absolute_error: 0.3509, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1609, root_relative_squared_error: 0.5364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8308, f_measure: 0.6949, kappa: 0.6617, kb_relative_information_score: 1363.1337, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7191, predictive_accuracy: 0.6955, prior_entropy: 3.3219, recall: 0.6955, relative_absolute_error: 0.3383, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2468, root_relative_squared_error: 0.8226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.7908, kappa: 0.7661, kb_relative_information_score: 1572.0758, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7933, predictive_accuracy: 0.7895, prior_entropy: 3.3219, recall: 0.7895, relative_absolute_error: 0.3049, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1706, root_relative_squared_error: 0.5686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.8294, kappa: 0.8111, kb_relative_information_score: 1603.304, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8301, predictive_accuracy: 0.83, prior_entropy: 3.3219, recall: 0.83, relative_absolute_error: 0.3253, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1552, root_relative_squared_error: 0.5174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8308, f_measure: 0.6951, kappa: 0.6617, kb_relative_information_score: 1363.1337, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7203, predictive_accuracy: 0.6955, prior_entropy: 3.3219, recall: 0.6955, relative_absolute_error: 0.3383, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2468, root_relative_squared_error: 0.8226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5089, f_measure: 0.0738, kappa: 0.0178, kb_relative_information_score: 151.1008, mean_absolute_error: 0.1768, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7307, predictive_accuracy: 0.116, prior_entropy: 3.3219, recall: 0.116, relative_absolute_error: 0.9822, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4205, root_relative_squared_error: 1.4016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.8322, kappa: 0.8139, kb_relative_information_score: 1585.5314, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8329, predictive_accuracy: 0.8325, prior_entropy: 3.3219, recall: 0.8325, relative_absolute_error: 0.3418, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1566, root_relative_squared_error: 0.5221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.8294, kappa: 0.8128, kb_relative_information_score: 1438.2217, mean_absolute_error: 0.0832, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8289, predictive_accuracy: 0.8315, prior_entropy: 3.3219, recall: 0.8315, relative_absolute_error: 0.462, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.174, root_relative_squared_error: 0.5799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8961, f_measure: 0.8117, kappa: 0.7922, kb_relative_information_score: 1608.8867, mean_absolute_error: 0.0374, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8145, predictive_accuracy: 0.813, prior_entropy: 3.3219, recall: 0.813, relative_absolute_error: 0.2078, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1934, root_relative_squared_error: 0.6446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.8105, kappa: 0.79, kb_relative_information_score: 1539.6368, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8114, predictive_accuracy: 0.811, prior_entropy: 3.3219, recall: 0.811, relative_absolute_error: 0.3614, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1653, root_relative_squared_error: 0.5511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5053, f_measure: 0.062, kappa: 0.0106, kb_relative_information_score: 137.5059, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7304, predictive_accuracy: 0.1095, prior_entropy: 3.3219, recall: 0.1095, relative_absolute_error: 0.9894, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.422, root_relative_squared_error: 1.4067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5408, f_measure: 0.1625, kappa: 0.0817, kb_relative_information_score: 271.3629, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6698, predictive_accuracy: 0.1735, prior_entropy: 3.3219, recall: 0.1735, relative_absolute_error: 0.9183, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4066, root_relative_squared_error: 1.3552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.8269, kappa: 0.81, kb_relative_information_score: 1381.5193, mean_absolute_error: 0.0903, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8269, predictive_accuracy: 0.829, prior_entropy: 3.3219, recall: 0.829, relative_absolute_error: 0.5014, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.181, root_relative_squared_error: 0.6032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5919, f_measure: 0.2823, kappa: 0.1839, kb_relative_information_score: 463.7822, mean_absolute_error: 0.1469, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7106, predictive_accuracy: 0.2655, prior_entropy: 3.3219, recall: 0.2655, relative_absolute_error: 0.8161, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3833, root_relative_squared_error: 1.2776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9122, f_measure: 0.8417, kappa: 0.8244, kb_relative_information_score: 1669.5406, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8424, predictive_accuracy: 0.842, prior_entropy: 3.3219, recall: 0.842, relative_absolute_error: 0.1756, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1778, root_relative_squared_error: 0.5925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.8329, kappa: 0.8161, kb_relative_information_score: 1489.4453, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8328, predictive_accuracy: 0.8345, prior_entropy: 3.3219, recall: 0.8345, relative_absolute_error: 0.4231, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1678, root_relative_squared_error: 0.5593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5097, f_measure: 0.0766, kappa: 0.0194, kb_relative_information_score: 154.238, mean_absolute_error: 0.1765, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7307, predictive_accuracy: 0.1175, prior_entropy: 3.3219, recall: 0.1175, relative_absolute_error: 0.9806, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4201, root_relative_squared_error: 1.4004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8308, f_measure: 0.6949, kappa: 0.6617, kb_relative_information_score: 1363.1337, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7191, predictive_accuracy: 0.6955, prior_entropy: 3.3219, recall: 0.6955, relative_absolute_error: 0.3383, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2468, root_relative_squared_error: 0.8226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5072, f_measure: 0.0681, kappa: 0.0144, kb_relative_information_score: 144.8262, mean_absolute_error: 0.1774, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7306, predictive_accuracy: 0.113, prior_entropy: 3.3219, recall: 0.113, relative_absolute_error: 0.9856, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4212, root_relative_squared_error: 1.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9125, f_measure: 0.8421, kappa: 0.825, kb_relative_information_score: 1670.5864, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8426, predictive_accuracy: 0.8425, prior_entropy: 3.3219, recall: 0.8425, relative_absolute_error: 0.175, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1775, root_relative_squared_error: 0.5916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.971, f_measure: 0.7791, kappa: 0.7533, kb_relative_information_score: 1528.6451, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7825, predictive_accuracy: 0.778, prior_entropy: 3.3219, recall: 0.778, relative_absolute_error: 0.3403, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1744, root_relative_squared_error: 0.5813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8597, f_measure: 0.747, kappa: 0.7194, kb_relative_information_score: 1471.8925, mean_absolute_error: 0.0505, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7563, predictive_accuracy: 0.7475, prior_entropy: 3.3219, recall: 0.7475, relative_absolute_error: 0.2806, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2247, root_relative_squared_error: 0.7491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.7901, kappa: 0.7667, kb_relative_information_score: 1551.1675, mean_absolute_error: 0.0581, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7925, predictive_accuracy: 0.79, prior_entropy: 3.3219, recall: 0.79, relative_absolute_error: 0.3228, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1713, root_relative_squared_error: 0.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8669, f_measure: 0.7589, kappa: 0.7339, kb_relative_information_score: 1499.0822, mean_absolute_error: 0.0479, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7749, predictive_accuracy: 0.7605, prior_entropy: 3.3219, recall: 0.7605, relative_absolute_error: 0.2661, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2189, root_relative_squared_error: 0.7295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9103, f_measure: 0.8378, kappa: 0.8206, kb_relative_information_score: 1662.2203, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8381, predictive_accuracy: 0.8385, prior_entropy: 3.3219, recall: 0.8385, relative_absolute_error: 0.1794, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1797, root_relative_squared_error: 0.5991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9111, f_measure: 0.8402, kappa: 0.8222, kb_relative_information_score: 1665.3576, mean_absolute_error: 0.032, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8407, predictive_accuracy: 0.84, prior_entropy: 3.3219, recall: 0.84, relative_absolute_error: 0.1778, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1789, root_relative_squared_error: 0.5963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8386, f_measure: 0.7162, kappa: 0.6772, kb_relative_information_score: 1392.4149, mean_absolute_error: 0.0581, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7648, predictive_accuracy: 0.7095, prior_entropy: 3.3219, recall: 0.7095, relative_absolute_error: 0.3228, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.241, root_relative_squared_error: 0.8035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, f_measure: 0.7085, kappa: 0.6761, kb_relative_information_score: 1390.3234, mean_absolute_error: 0.0583, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7303, predictive_accuracy: 0.7085, prior_entropy: 3.3219, recall: 0.7085, relative_absolute_error: 0.3239, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2415, root_relative_squared_error: 0.8048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9139, f_measure: 0.8452, kappa: 0.8278, kb_relative_information_score: 1675.8152, mean_absolute_error: 0.031, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8458, predictive_accuracy: 0.845, prior_entropy: 3.3219, recall: 0.845, relative_absolute_error: 0.1722, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1761, root_relative_squared_error: 0.5869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.8273, kappa: 0.81, kb_relative_information_score: 1437.4554, mean_absolute_error: 0.0827, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8271, predictive_accuracy: 0.829, prior_entropy: 3.3219, recall: 0.829, relative_absolute_error: 0.4594, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1739, root_relative_squared_error: 0.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.7742, kappa: 0.7494, kb_relative_information_score: 1479.1527, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7757, predictive_accuracy: 0.7745, prior_entropy: 3.3219, recall: 0.7745, relative_absolute_error: 0.4, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.175, root_relative_squared_error: 0.5835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.8169, kappa: 0.7972, kb_relative_information_score: 1554.4241, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8172, predictive_accuracy: 0.8175, prior_entropy: 3.3219, recall: 0.8175, relative_absolute_error: 0.3609, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1623, root_relative_squared_error: 0.5409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5553, f_measure: 0.1928, kappa: 0.1106, kb_relative_information_score: 325.7423, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6619, predictive_accuracy: 0.1995, prior_entropy: 3.3219, recall: 0.1995, relative_absolute_error: 0.8894, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4001, root_relative_squared_error: 1.3337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.7998, kappa: 0.7772, kb_relative_information_score: 1557.2932, mean_absolute_error: 0.0621, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8023, predictive_accuracy: 0.7995, prior_entropy: 3.3219, recall: 0.7995, relative_absolute_error: 0.3448, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.164, root_relative_squared_error: 0.5467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7517, f_measure: 0.5758, kappa: 0.5033, kb_relative_information_score: 1065.0928, mean_absolute_error: 0.0894, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6774, predictive_accuracy: 0.553, prior_entropy: 3.3219, recall: 0.553, relative_absolute_error: 0.4967, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.299, root_relative_squared_error: 0.9967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.7967, kappa: 0.7733, kb_relative_information_score: 1548.7921, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7997, predictive_accuracy: 0.796, prior_entropy: 3.3219, recall: 0.796, relative_absolute_error: 0.3355, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1687, root_relative_squared_error: 0.5623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.8432, kappa: 0.8261, kb_relative_information_score: 1599.9879, mean_absolute_error: 0.06, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8435, predictive_accuracy: 0.8435, prior_entropy: 3.3219, recall: 0.8435, relative_absolute_error: 0.3333, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1529, root_relative_squared_error: 0.5098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5111, f_measure: 0.0812, kappa: 0.0222, kb_relative_information_score: 159.4668, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7308, predictive_accuracy: 0.12, prior_entropy: 3.3219, recall: 0.12, relative_absolute_error: 0.9778, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4195, root_relative_squared_error: 1.3984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7717, f_measure: 0.607, kappa: 0.5433, kb_relative_information_score: 1140.3873, mean_absolute_error: 0.0822, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6978, predictive_accuracy: 0.589, prior_entropy: 3.3219, recall: 0.589, relative_absolute_error: 0.4567, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2867, root_relative_squared_error: 0.9557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5367, f_measure: 0.1529, kappa: 0.0733, kb_relative_information_score: 255.6765, mean_absolute_error: 0.1668, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6995, predictive_accuracy: 0.166, prior_entropy: 3.3219, recall: 0.166, relative_absolute_error: 0.9267, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4084, root_relative_squared_error: 1.3614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.915, f_measure: 0.8471, kappa: 0.83, kb_relative_information_score: 1679.9982, mean_absolute_error: 0.0306, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8476, predictive_accuracy: 0.847, prior_entropy: 3.3219, recall: 0.847, relative_absolute_error: 0.17, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1749, root_relative_squared_error: 0.5831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.8227, kappa: 0.8033, kb_relative_information_score: 1568.9192, mean_absolute_error: 0.0636, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8232, predictive_accuracy: 0.823, prior_entropy: 3.3219, recall: 0.823, relative_absolute_error: 0.3531, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1597, root_relative_squared_error: 0.5323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6542, f_measure: 0.4131, kappa: 0.3083, kb_relative_information_score: 698.0319, mean_absolute_error: 0.1245, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7112, predictive_accuracy: 0.3775, prior_entropy: 3.3219, recall: 0.3775, relative_absolute_error: 0.6917, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3528, root_relative_squared_error: 1.1762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5069, f_measure: 0.0671, kappa: 0.0139, kb_relative_information_score: 143.7805, mean_absolute_error: 0.1775, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7305, predictive_accuracy: 0.1125, prior_entropy: 3.3219, recall: 0.1125, relative_absolute_error: 0.9861, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4213, root_relative_squared_error: 1.4044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.8009, kappa: 0.78, kb_relative_information_score: 1518.8172, mean_absolute_error: 0.0698, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8012, predictive_accuracy: 0.802, prior_entropy: 3.3219, recall: 0.802, relative_absolute_error: 0.388, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1677, root_relative_squared_error: 0.5589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8306, f_measure: 0.6946, kappa: 0.6611, kb_relative_information_score: 1362.0879, mean_absolute_error: 0.061, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7197, predictive_accuracy: 0.695, prior_entropy: 3.3219, recall: 0.695, relative_absolute_error: 0.3389, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.247, root_relative_squared_error: 0.8233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7483, f_measure: 0.57, kappa: 0.4967, kb_relative_information_score: 1052.5437, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6761, predictive_accuracy: 0.547, prior_entropy: 3.3219, recall: 0.547, relative_absolute_error: 0.5033, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.301, root_relative_squared_error: 1.0033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9114, f_measure: 0.8398, kappa: 0.8228, kb_relative_information_score: 1666.4034, mean_absolute_error: 0.0319, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8401, predictive_accuracy: 0.8405, prior_entropy: 3.3219, recall: 0.8405, relative_absolute_error: 0.1772, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1786, root_relative_squared_error: 0.5954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8836, f_measure: 0.7883, kappa: 0.7672, kb_relative_information_score: 1561.8276, mean_absolute_error: 0.0419, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.793, predictive_accuracy: 0.7905, prior_entropy: 3.3219, recall: 0.7905, relative_absolute_error: 0.2328, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2047, root_relative_squared_error: 0.6823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9142, f_measure: 0.8456, kappa: 0.8283, kb_relative_information_score: 1676.8609, mean_absolute_error: 0.0309, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8461, predictive_accuracy: 0.8455, prior_entropy: 3.3219, recall: 0.8455, relative_absolute_error: 0.1717, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1758, root_relative_squared_error: 0.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.8164, kappa: 0.7961, kb_relative_information_score: 1530.412, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8178, predictive_accuracy: 0.8165, prior_entropy: 3.3219, recall: 0.8165, relative_absolute_error: 0.3802, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1644, root_relative_squared_error: 0.5481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.8396, kappa: 0.8222, kb_relative_information_score: 1602.0035, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.84, predictive_accuracy: 0.84, prior_entropy: 3.3219, recall: 0.84, relative_absolute_error: 0.326, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1547, root_relative_squared_error: 0.5158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9089, f_measure: 0.8363, kappa: 0.8178, kb_relative_information_score: 1656.9915, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8368, predictive_accuracy: 0.836, prior_entropy: 3.3219, recall: 0.836, relative_absolute_error: 0.1822, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1811, root_relative_squared_error: 0.6037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9103, f_measure: 0.8378, kappa: 0.8206, kb_relative_information_score: 1662.2203, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8382, predictive_accuracy: 0.8385, prior_entropy: 3.3219, recall: 0.8385, relative_absolute_error: 0.1794, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1797, root_relative_squared_error: 0.5991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.804, kappa: 0.7811, kb_relative_information_score: 1580.7804, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8061, predictive_accuracy: 0.803, prior_entropy: 3.3219, recall: 0.803, relative_absolute_error: 0.3091, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.166, root_relative_squared_error: 0.5532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8736, f_measure: 0.7718, kappa: 0.7472, kb_relative_information_score: 1524.1803, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7808, predictive_accuracy: 0.7725, prior_entropy: 3.3219, recall: 0.7725, relative_absolute_error: 0.2528, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2133, root_relative_squared_error: 0.711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5269, f_measure: 0.0767, kappa: 0.0539, kb_relative_information_score: 219.075, mean_absolute_error: 0.1703, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7453, predictive_accuracy: 0.1485, prior_entropy: 3.3219, recall: 0.1485, relative_absolute_error: 0.9461, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4127, root_relative_squared_error: 1.3756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9086, f_measure: 0.8356, kappa: 0.8172, kb_relative_information_score: 1655.9458, mean_absolute_error: 0.0329, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.836, predictive_accuracy: 0.8355, prior_entropy: 3.3219, recall: 0.8355, relative_absolute_error: 0.1828, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1814, root_relative_squared_error: 0.6046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9144, f_measure: 0.8461, kappa: 0.8289, kb_relative_information_score: 1677.9067, mean_absolute_error: 0.0308, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8467, predictive_accuracy: 0.846, prior_entropy: 3.3219, recall: 0.846, relative_absolute_error: 0.1711, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1755, root_relative_squared_error: 0.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8308, f_measure: 0.6951, kappa: 0.6617, kb_relative_information_score: 1363.1337, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7203, predictive_accuracy: 0.6955, prior_entropy: 3.3219, recall: 0.6955, relative_absolute_error: 0.3383, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2468, root_relative_squared_error: 0.8226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8194, f_measure: 0.6884, kappa: 0.6389, kb_relative_information_score: 1320.2576, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7578, predictive_accuracy: 0.675, prior_entropy: 3.3219, recall: 0.675, relative_absolute_error: 0.3611, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.255, root_relative_squared_error: 0.8498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.905, f_measure: 0.8287, kappa: 0.81, kb_relative_information_score: 1642.3509, mean_absolute_error: 0.0342, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8288, predictive_accuracy: 0.829, prior_entropy: 3.3219, recall: 0.829, relative_absolute_error: 0.19, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.6164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8336, f_measure: 0.6998, kappa: 0.6672, kb_relative_information_score: 1373.5913, mean_absolute_error: 0.0599, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7221, predictive_accuracy: 0.7005, prior_entropy: 3.3219, recall: 0.7005, relative_absolute_error: 0.3328, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2447, root_relative_squared_error: 0.8158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8308, f_measure: 0.695, kappa: 0.6617, kb_relative_information_score: 1363.1337, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7194, predictive_accuracy: 0.6955, prior_entropy: 3.3219, recall: 0.6955, relative_absolute_error: 0.3383, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2468, root_relative_squared_error: 0.8226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.8156, kappa: 0.7956, kb_relative_information_score: 1519.0012, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8164, predictive_accuracy: 0.816, prior_entropy: 3.3219, recall: 0.816, relative_absolute_error: 0.3846, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1668, root_relative_squared_error: 0.556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, f_measure: 0.8044, kappa: 0.7878, kb_relative_information_score: 1174.0688, mean_absolute_error: 0.1127, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8034, predictive_accuracy: 0.809, prior_entropy: 3.3219, recall: 0.809, relative_absolute_error: 0.6262, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2076, root_relative_squared_error: 0.692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.8231, kappa: 0.8061, kb_relative_information_score: 1418.485, mean_absolute_error: 0.0853, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8231, predictive_accuracy: 0.8255, prior_entropy: 3.3219, recall: 0.8255, relative_absolute_error: 0.4741, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1772, root_relative_squared_error: 0.5906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.8189, kappa: 0.7989, kb_relative_information_score: 1607.5605, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8196, predictive_accuracy: 0.819, prior_entropy: 3.3219, recall: 0.819, relative_absolute_error: 0.3057, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1583, root_relative_squared_error: 0.5278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.8067, kappa: 0.7861, kb_relative_information_score: 1549.7108, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8074, predictive_accuracy: 0.8075, prior_entropy: 3.3219, recall: 0.8075, relative_absolute_error: 0.3598, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1645, root_relative_squared_error: 0.5483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.8142, kappa: 0.7928, kb_relative_information_score: 1587.8527, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8165, predictive_accuracy: 0.8135, prior_entropy: 3.3219, recall: 0.8135, relative_absolute_error: 0.3147, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1614, root_relative_squared_error: 0.5379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5053, f_measure: 0.062, kappa: 0.0106, kb_relative_information_score: 137.5059, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7304, predictive_accuracy: 0.1095, prior_entropy: 3.3219, recall: 0.1095, relative_absolute_error: 0.9894, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.422, root_relative_squared_error: 1.4067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7325, f_measure: 0.5473, kappa: 0.465, kb_relative_information_score: 992.9355, mean_absolute_error: 0.0963, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6747, predictive_accuracy: 0.5185, prior_entropy: 3.3219, recall: 0.5185, relative_absolute_error: 0.535, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3103, root_relative_squared_error: 1.0344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9108, f_measure: 0.8396, kappa: 0.8217, kb_relative_information_score: 1664.3118, mean_absolute_error: 0.0321, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8401, predictive_accuracy: 0.8395, prior_entropy: 3.3219, recall: 0.8395, relative_absolute_error: 0.1783, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1792, root_relative_squared_error: 0.5972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8053, f_measure: 0.6641, kappa: 0.6106, kb_relative_information_score: 1266.924, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7439, predictive_accuracy: 0.6495, prior_entropy: 3.3219, recall: 0.6495, relative_absolute_error: 0.3894, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2648, root_relative_squared_error: 0.8825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.7984, kappa: 0.7756, kb_relative_information_score: 1577.4075, mean_absolute_error: 0.0565, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8003, predictive_accuracy: 0.798, prior_entropy: 3.3219, recall: 0.798, relative_absolute_error: 0.314, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1652, root_relative_squared_error: 0.5505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.7907, kappa: 0.7678, kb_relative_information_score: 1545.198, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7931, predictive_accuracy: 0.791, prior_entropy: 3.3219, recall: 0.791, relative_absolute_error: 0.3542, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1676, root_relative_squared_error: 0.5586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.8475, kappa: 0.8306, kb_relative_information_score: 1681.044, mean_absolute_error: 0.0305, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8477, predictive_accuracy: 0.8475, prior_entropy: 3.3219, recall: 0.8475, relative_absolute_error: 0.1694, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1746, root_relative_squared_error: 0.5821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8428, f_measure: 0.717, kappa: 0.6856, kb_relative_information_score: 1408.1013, mean_absolute_error: 0.0566, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7358, predictive_accuracy: 0.717, prior_entropy: 3.3219, recall: 0.717, relative_absolute_error: 0.3144, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2379, root_relative_squared_error: 0.793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5053, f_measure: 0.062, kappa: 0.0106, kb_relative_information_score: 137.5059, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7304, predictive_accuracy: 0.1095, prior_entropy: 3.3219, recall: 0.1095, relative_absolute_error: 0.9894, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.422, root_relative_squared_error: 1.4067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.8414, kappa: 0.8239, kb_relative_information_score: 1668.4949, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8415, predictive_accuracy: 0.8415, prior_entropy: 3.3219, recall: 0.8415, relative_absolute_error: 0.1761, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.178, root_relative_squared_error: 0.5935,

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