Task
Supervised Classification on mfeat-fourier

Supervised Classification on mfeat-fourier

Task 14 Supervised Classification mfeat-fourier 26772 runs submitted
0 likes downloaded by 1 people , 1 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:

26772 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: 0.8306, 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: 0.8597, 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: 0.7642, f_measure: 0.5961, kappa: 0.5283, kb_relative_information_score: 1112.1519, mean_absolute_error: 0.0849, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6928, predictive_accuracy: 0.5755, prior_entropy: 3.3219, recall: 0.5755, relative_absolute_error: 0.4717, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2914, root_relative_squared_error: 0.9713,
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: 0.5794, f_measure: 0.2536, kappa: 0.1589, kb_relative_information_score: 416.7232, mean_absolute_error: 0.1514, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7268, predictive_accuracy: 0.243, prior_entropy: 3.3219, recall: 0.243, relative_absolute_error: 0.8411, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3891, root_relative_squared_error: 1.297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5908, f_measure: 0.2797, kappa: 0.1817, kb_relative_information_score: 459.5992, mean_absolute_error: 0.1473, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7124, predictive_accuracy: 0.2635, prior_entropy: 3.3219, recall: 0.2635, relative_absolute_error: 0.8183, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3838, root_relative_squared_error: 1.2793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5133, f_measure: 0.0876, kappa: 0.0267, kb_relative_information_score: 167.8329, mean_absolute_error: 0.1752, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.722, predictive_accuracy: 0.124, prior_entropy: 3.3219, recall: 0.124, relative_absolute_error: 0.9733, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4186, root_relative_squared_error: 1.3952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.6954, kappa: 0.6622, kb_relative_information_score: 1364.1794, mean_absolute_error: 0.0608, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7192, predictive_accuracy: 0.696, prior_entropy: 3.3219, recall: 0.696, relative_absolute_error: 0.3378, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2466, root_relative_squared_error: 0.8219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8978, f_measure: 0.8149, kappa: 0.7956, kb_relative_information_score: 1615.1612, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8173, predictive_accuracy: 0.816, prior_entropy: 3.3219, recall: 0.816, relative_absolute_error: 0.2044, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1918, root_relative_squared_error: 0.6394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9144, f_measure: 0.846, 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: 0.8462, 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: 0.8853, f_measure: 0.7906, kappa: 0.7706, kb_relative_information_score: 1568.1022, mean_absolute_error: 0.0413, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7964, predictive_accuracy: 0.7935, prior_entropy: 3.3219, recall: 0.7935, relative_absolute_error: 0.2294, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2032, root_relative_squared_error: 0.6774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7644, f_measure: 0.5967, kappa: 0.5289, kb_relative_information_score: 1113.1976, mean_absolute_error: 0.0848, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6932, predictive_accuracy: 0.576, prior_entropy: 3.3219, recall: 0.576, relative_absolute_error: 0.4711, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2912, root_relative_squared_error: 0.9707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6689, f_measure: 0.4423, kappa: 0.3378, kb_relative_information_score: 753.4571, mean_absolute_error: 0.1192, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7153, predictive_accuracy: 0.404, prior_entropy: 3.3219, recall: 0.404, relative_absolute_error: 0.6622, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3453, root_relative_squared_error: 1.1508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8097, f_measure: 0.6707, kappa: 0.6194, kb_relative_information_score: 1283.6561, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7466, predictive_accuracy: 0.6575, prior_entropy: 3.3219, recall: 0.6575, relative_absolute_error: 0.3806, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2617, root_relative_squared_error: 0.8724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9039, f_measure: 0.8259, kappa: 0.8078, kb_relative_information_score: 1638.1679, mean_absolute_error: 0.0346, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8272, predictive_accuracy: 0.827, prior_entropy: 3.3219, recall: 0.827, relative_absolute_error: 0.1922, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.186, root_relative_squared_error: 0.62,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8414, f_measure: 0.7148, kappa: 0.6828, kb_relative_information_score: 1402.8725, mean_absolute_error: 0.0571, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7357, predictive_accuracy: 0.7145, prior_entropy: 3.3219, recall: 0.7145, relative_absolute_error: 0.3172, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.239, root_relative_squared_error: 0.7965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5114, f_measure: 0.0821, kappa: 0.0228, kb_relative_information_score: 160.5126, mean_absolute_error: 0.1759, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7308, predictive_accuracy: 0.1205, prior_entropy: 3.3219, recall: 0.1205, relative_absolute_error: 0.9772, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4194, root_relative_squared_error: 1.398,
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: 0.5969, f_measure: 0.2937, kappa: 0.1939, kb_relative_information_score: 482.6059, mean_absolute_error: 0.1451, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7019, predictive_accuracy: 0.2745, prior_entropy: 3.3219, recall: 0.2745, relative_absolute_error: 0.8061, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3809, root_relative_squared_error: 1.2697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8306, f_measure: 0.6945, 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: 0.719, 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: 0.6014, f_measure: 0.3029, kappa: 0.2028, kb_relative_information_score: 499.338, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.698, predictive_accuracy: 0.2825, prior_entropy: 3.3219, recall: 0.2825, relative_absolute_error: 0.7972, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3788, root_relative_squared_error: 1.2627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6217, f_measure: 0.3463, kappa: 0.2433, kb_relative_information_score: 575.6783, mean_absolute_error: 0.1362, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7062, predictive_accuracy: 0.319, prior_entropy: 3.3219, recall: 0.319, relative_absolute_error: 0.7567, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3691, root_relative_squared_error: 1.2302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.8473, 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: 0.8479, 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: 0.5106, f_measure: 0.0662, kappa: 0.0211, kb_relative_information_score: 157.3753, mean_absolute_error: 0.1762, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7346, predictive_accuracy: 0.119, prior_entropy: 3.3219, recall: 0.119, relative_absolute_error: 0.9789, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4198, root_relative_squared_error: 1.3992,
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: 0.8447, f_measure: 0.7205, kappa: 0.6894, kb_relative_information_score: 1415.4216, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7371, predictive_accuracy: 0.7205, prior_entropy: 3.3219, recall: 0.7205, relative_absolute_error: 0.3106, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2364, root_relative_squared_error: 0.7881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9106, f_measure: 0.8382, kappa: 0.8211, kb_relative_information_score: 1663.2661, mean_absolute_error: 0.0322, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8384, predictive_accuracy: 0.839, prior_entropy: 3.3219, recall: 0.839, relative_absolute_error: 0.1789, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1794, root_relative_squared_error: 0.5981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6447, f_measure: 0.3936, kappa: 0.2894, kb_relative_information_score: 662.4762, mean_absolute_error: 0.1279, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7087, predictive_accuracy: 0.3605, prior_entropy: 3.3219, recall: 0.3605, relative_absolute_error: 0.7106, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3576, root_relative_squared_error: 1.1921,
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: 0.8306, 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: 0.7192, 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: 0.9017, f_measure: 0.8221, kappa: 0.8033, kb_relative_information_score: 1629.8018, mean_absolute_error: 0.0354, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8242, predictive_accuracy: 0.823, prior_entropy: 3.3219, recall: 0.823, relative_absolute_error: 0.1967, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1881, root_relative_squared_error: 0.6272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8961, f_measure: 0.8113, 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: 0.8148, 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: 0.5269, f_measure: 0.0764, 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: 0.7448, 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: 0.9133, f_measure: 0.8442, kappa: 0.8267, kb_relative_information_score: 1673.7237, mean_absolute_error: 0.0312, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8448, predictive_accuracy: 0.844, prior_entropy: 3.3219, recall: 0.844, relative_absolute_error: 0.1733, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1766, root_relative_squared_error: 0.5888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6156, f_measure: 0.3331, kappa: 0.2311, kb_relative_information_score: 552.6716, mean_absolute_error: 0.1384, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6974, predictive_accuracy: 0.308, prior_entropy: 3.3219, recall: 0.308, relative_absolute_error: 0.7689, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.372, root_relative_squared_error: 1.2401,
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: 0.8364, f_measure: 0.7052, kappa: 0.6728, kb_relative_information_score: 1384.0488, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7269, predictive_accuracy: 0.7055, prior_entropy: 3.3219, recall: 0.7055, relative_absolute_error: 0.3272, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2427, root_relative_squared_error: 0.809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8611, f_measure: 0.7492, kappa: 0.7222, kb_relative_information_score: 1477.1213, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.758, predictive_accuracy: 0.75, prior_entropy: 3.3219, recall: 0.75, relative_absolute_error: 0.2778, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2236, root_relative_squared_error: 0.7454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8314, f_measure: 0.6961, kappa: 0.6628, kb_relative_information_score: 1365.2252, mean_absolute_error: 0.0607, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7199, predictive_accuracy: 0.6965, prior_entropy: 3.3219, recall: 0.6965, relative_absolute_error: 0.3372, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2464, root_relative_squared_error: 0.8212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8586, f_measure: 0.7452, kappa: 0.7172, kb_relative_information_score: 1467.7094, mean_absolute_error: 0.0509, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7552, predictive_accuracy: 0.7455, prior_entropy: 3.3219, recall: 0.7455, relative_absolute_error: 0.2828, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2256, root_relative_squared_error: 0.752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8822, f_measure: 0.7854, kappa: 0.7644, kb_relative_information_score: 1556.5988, mean_absolute_error: 0.0424, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7924, predictive_accuracy: 0.788, prior_entropy: 3.3219, recall: 0.788, relative_absolute_error: 0.2356, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2059, root_relative_squared_error: 0.6864,
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: 0.7454, 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: 0.8311, f_measure: 0.6954, kappa: 0.6622, kb_relative_information_score: 1364.1794, mean_absolute_error: 0.0608, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7192, predictive_accuracy: 0.696, prior_entropy: 3.3219, recall: 0.696, relative_absolute_error: 0.3378, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2466, root_relative_squared_error: 0.8219,
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: 0.9139, 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: 0.6169, f_measure: 0.3357, kappa: 0.2339, kb_relative_information_score: 557.9004, mean_absolute_error: 0.1379, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6983, predictive_accuracy: 0.3105, prior_entropy: 3.3219, recall: 0.3105, relative_absolute_error: 0.7661, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3713, root_relative_squared_error: 1.2378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8606, f_measure: 0.7485, kappa: 0.7211, kb_relative_information_score: 1475.0297, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.772, predictive_accuracy: 0.749, prior_entropy: 3.3219, recall: 0.749, relative_absolute_error: 0.2789, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2241, root_relative_squared_error: 0.7468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8606, f_measure: 0.7485, kappa: 0.7211, kb_relative_information_score: 1475.0297, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7721, predictive_accuracy: 0.749, prior_entropy: 3.3219, recall: 0.749, relative_absolute_error: 0.2789, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2241, root_relative_squared_error: 0.7468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.6991, kappa: 0.6661, kb_relative_information_score: 1371.4997, mean_absolute_error: 0.0601, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7219, predictive_accuracy: 0.6995, prior_entropy: 3.3219, recall: 0.6995, relative_absolute_error: 0.3339, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2452, root_relative_squared_error: 0.8172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9086, f_measure: 0.8355, 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: 0.8358, 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: 0.8308, 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: 0.7186, 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: 0.8331, f_measure: 0.6991, kappa: 0.6661, kb_relative_information_score: 1371.4997, mean_absolute_error: 0.0601, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7219, predictive_accuracy: 0.6995, prior_entropy: 3.3219, recall: 0.6995, relative_absolute_error: 0.3339, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2452, root_relative_squared_error: 0.8172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9147, f_measure: 0.8467, kappa: 0.8294, kb_relative_information_score: 1678.9525, mean_absolute_error: 0.0307, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8472, predictive_accuracy: 0.8465, prior_entropy: 3.3219, recall: 0.8465, relative_absolute_error: 0.1706, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1752, root_relative_squared_error: 0.584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9144, f_measure: 0.8462, 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: 0.847, 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: 0.6186, f_measure: 0.3393, kappa: 0.2372, kb_relative_information_score: 564.175, mean_absolute_error: 0.1373, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7019, predictive_accuracy: 0.3135, prior_entropy: 3.3219, recall: 0.3135, relative_absolute_error: 0.7628, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3705, root_relative_squared_error: 1.2351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8306, f_measure: 0.6945, 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: 0.719, 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: 0.8917, f_measure: 0.8021, kappa: 0.7833, kb_relative_information_score: 1592.1546, mean_absolute_error: 0.039, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8058, predictive_accuracy: 0.805, prior_entropy: 3.3219, recall: 0.805, relative_absolute_error: 0.2167, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1975, root_relative_squared_error: 0.6583,
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: 0.9108, f_measure: 0.8397, 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: 0.8403, 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: 0.8942, f_measure: 0.8083, kappa: 0.7883, kb_relative_information_score: 1601.5664, mean_absolute_error: 0.0381, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8093, predictive_accuracy: 0.8095, prior_entropy: 3.3219, recall: 0.8095, relative_absolute_error: 0.2117, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.6506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8394, f_measure: 0.7174, kappa: 0.6789, kb_relative_information_score: 1395.5522, mean_absolute_error: 0.0578, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7649, predictive_accuracy: 0.711, prior_entropy: 3.3219, recall: 0.711, relative_absolute_error: 0.3211, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2404, root_relative_squared_error: 0.8014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8619, f_measure: 0.7509, kappa: 0.7239, kb_relative_information_score: 1480.2585, mean_absolute_error: 0.0497, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7603, predictive_accuracy: 0.7515, prior_entropy: 3.3219, recall: 0.7515, relative_absolute_error: 0.2761, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2229, root_relative_squared_error: 0.7431,
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: 0.8477, 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: 0.9136, f_measure: 0.8446, kappa: 0.8272, kb_relative_information_score: 1674.7694, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.845, predictive_accuracy: 0.8445, prior_entropy: 3.3219, recall: 0.8445, relative_absolute_error: 0.1728, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.5878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9011, f_measure: 0.8219, kappa: 0.8022, kb_relative_information_score: 1627.7103, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8229, predictive_accuracy: 0.822, prior_entropy: 3.3219, recall: 0.822, relative_absolute_error: 0.1978, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.6289,
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: 0.8733, f_measure: 0.7713, kappa: 0.7467, kb_relative_information_score: 1523.1346, mean_absolute_error: 0.0456, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7805, predictive_accuracy: 0.772, prior_entropy: 3.3219, recall: 0.772, relative_absolute_error: 0.2533, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2135, root_relative_squared_error: 0.7118,
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: 0.5053, 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: 0.8308, 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: 0.6231, f_measure: 0.349, kappa: 0.2461, kb_relative_information_score: 580.9071, mean_absolute_error: 0.1357, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7066, predictive_accuracy: 0.3215, prior_entropy: 3.3219, recall: 0.3215, relative_absolute_error: 0.7539, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3684, root_relative_squared_error: 1.2279,
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: 0.9086, f_measure: 0.8358, 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: 0.8363, 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: 0.8308, 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: 0.7192, 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: 0.9144, f_measure: 0.8463, 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: 0.8469, 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: 0.9056, f_measure: 0.8298, kappa: 0.8111, kb_relative_information_score: 1644.4425, mean_absolute_error: 0.034, 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: 0.1889, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1844, root_relative_squared_error: 0.6146,
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: 0.7997, f_measure: 0.6524, kappa: 0.5994, kb_relative_information_score: 1246.0088, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7315, predictive_accuracy: 0.6395, prior_entropy: 3.3219, recall: 0.6395, relative_absolute_error: 0.4006, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2685, root_relative_squared_error: 0.895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5269, f_measure: 0.0769, 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: 0.7458, 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: 0.9106, f_measure: 0.8383, kappa: 0.8211, kb_relative_information_score: 1663.2661, mean_absolute_error: 0.0322, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8384, predictive_accuracy: 0.839, prior_entropy: 3.3219, recall: 0.839, relative_absolute_error: 0.1789, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1794, root_relative_squared_error: 0.5981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9156, f_measure: 0.8482, kappa: 0.8311, kb_relative_information_score: 1682.0897, mean_absolute_error: 0.0304, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8487, predictive_accuracy: 0.848, prior_entropy: 3.3219, recall: 0.848, relative_absolute_error: 0.1689, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1744, root_relative_squared_error: 0.5812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8533, f_measure: 0.7375, kappa: 0.7067, kb_relative_information_score: 1447.84, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7695, predictive_accuracy: 0.736, prior_entropy: 3.3219, recall: 0.736, relative_absolute_error: 0.2933, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2298, root_relative_squared_error: 0.7659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5583, f_measure: 0.1975, kappa: 0.1167, kb_relative_information_score: 337.2456, mean_absolute_error: 0.159, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6471, predictive_accuracy: 0.205, prior_entropy: 3.3219, recall: 0.205, relative_absolute_error: 0.8833, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3987, root_relative_squared_error: 1.3292,
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: 0.8194, 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: 0.5053, 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: 0.8778, f_measure: 0.7783, kappa: 0.7556, kb_relative_information_score: 1539.8667, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7862, predictive_accuracy: 0.78, prior_entropy: 3.3219, recall: 0.78, relative_absolute_error: 0.2444, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.6992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9111, f_measure: 0.8396, 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: 0.84, 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: 0.8308, 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: 0.8956, f_measure: 0.8104, kappa: 0.7911, kb_relative_information_score: 1606.7952, mean_absolute_error: 0.0376, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8139, predictive_accuracy: 0.812, prior_entropy: 3.3219, recall: 0.812, relative_absolute_error: 0.2089, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1939, root_relative_squared_error: 0.6464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5247, f_measure: 0.1208, kappa: 0.0494, kb_relative_information_score: 210.7089, mean_absolute_error: 0.1711, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6951, predictive_accuracy: 0.1445, prior_entropy: 3.3219, recall: 0.1445, relative_absolute_error: 0.9506, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4136, root_relative_squared_error: 1.3788,
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: 0.8336, 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: 0.7223, 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: 0.8914, f_measure: 0.8016, 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: 0.8055, 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: 0.8306, 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: 0.5944, f_measure: 0.2883, kappa: 0.1889, kb_relative_information_score: 473.1941, mean_absolute_error: 0.146, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7028, predictive_accuracy: 0.27, prior_entropy: 3.3219, recall: 0.27, relative_absolute_error: 0.8111, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3821, root_relative_squared_error: 1.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5158, f_measure: 0.0946, kappa: 0.0317, kb_relative_information_score: 177.2447, mean_absolute_error: 0.1743, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7146, predictive_accuracy: 0.1285, prior_entropy: 3.3219, recall: 0.1285, relative_absolute_error: 0.9683, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4175, root_relative_squared_error: 1.3916,
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: 0.8978, f_measure: 0.8149, kappa: 0.7956, kb_relative_information_score: 1615.1612, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8169, predictive_accuracy: 0.816, prior_entropy: 3.3219, recall: 0.816, relative_absolute_error: 0.2044, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1918, root_relative_squared_error: 0.6394,

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