Task
Supervised Classification on mfeat-zernike

Supervised Classification on mfeat-zernike

Task 22 Supervised Classification mfeat-zernike 18064 runs submitted
0 likes downloaded by 2 people , 2 total downloads 0 issues
Visibility: Public
  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_7 study_70 study_98 study_99 under100k under1m
Issue #Downvotes for this reason By


Metric:

18064 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: 0.8156, f_measure: 0.6693, kappa: 0.6311, kb_relative_information_score: 1305.617, mean_absolute_error: 0.0664, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6711, predictive_accuracy: 0.668, prior_entropy: 3.3219, recall: 0.668, relative_absolute_error: 0.3689, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2577, root_relative_squared_error: 0.8589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8538, f_measure: 0.6687, kappa: 0.635, kb_relative_information_score: 1346.1028, mean_absolute_error: 0.0681, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6678, predictive_accuracy: 0.6715, prior_entropy: 3.3219, recall: 0.6715, relative_absolute_error: 0.3782, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2365, root_relative_squared_error: 0.7882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9155, f_measure: 0.6557, kappa: 0.6222, kb_relative_information_score: 1350.3537, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6525, predictive_accuracy: 0.66, prior_entropy: 3.3219, recall: 0.66, relative_absolute_error: 0.4132, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2161, root_relative_squared_error: 0.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8742, f_measure: 0.6736, kappa: 0.6383, kb_relative_information_score: 1356.8428, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6735, predictive_accuracy: 0.6745, prior_entropy: 3.3219, recall: 0.6745, relative_absolute_error: 0.3827, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2287, root_relative_squared_error: 0.7623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8877, f_measure: 0.6638, kappa: 0.6289, kb_relative_information_score: 1374.8452, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6622, predictive_accuracy: 0.666, prior_entropy: 3.3219, recall: 0.666, relative_absolute_error: 0.3806, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2234, root_relative_squared_error: 0.7448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.895, f_measure: 0.6698, kappa: 0.6356, kb_relative_information_score: 1378.813, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6682, predictive_accuracy: 0.672, prior_entropy: 3.3219, recall: 0.672, relative_absolute_error: 0.3826, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2208, root_relative_squared_error: 0.7359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8869, f_measure: 0.6757, kappa: 0.6417, kb_relative_information_score: 1375.1899, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6746, predictive_accuracy: 0.6775, prior_entropy: 3.3219, recall: 0.6775, relative_absolute_error: 0.38, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2223, root_relative_squared_error: 0.741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8734, f_measure: 0.6698, kappa: 0.635, kb_relative_information_score: 1364.7057, mean_absolute_error: 0.0681, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6686, predictive_accuracy: 0.6715, prior_entropy: 3.3219, recall: 0.6715, relative_absolute_error: 0.3785, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2289, root_relative_squared_error: 0.763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9057, f_measure: 0.649, kappa: 0.615, kb_relative_information_score: 1347.272, mean_absolute_error: 0.0727, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6457, predictive_accuracy: 0.6535, prior_entropy: 3.3219, recall: 0.6535, relative_absolute_error: 0.4041, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2204, root_relative_squared_error: 0.7347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9168, f_measure: 0.6712, kappa: 0.6378, kb_relative_information_score: 1389.1617, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6707, predictive_accuracy: 0.674, prior_entropy: 3.3219, recall: 0.674, relative_absolute_error: 0.395, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2103, root_relative_squared_error: 0.701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9176, f_measure: 0.6715, kappa: 0.6383, kb_relative_information_score: 1388.9617, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6706, predictive_accuracy: 0.6745, prior_entropy: 3.3219, recall: 0.6745, relative_absolute_error: 0.3991, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2095, root_relative_squared_error: 0.6984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8807, f_measure: 0.6595, kappa: 0.6244, kb_relative_information_score: 1349.8112, mean_absolute_error: 0.0696, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6587, predictive_accuracy: 0.662, prior_entropy: 3.3219, recall: 0.662, relative_absolute_error: 0.3864, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2276, root_relative_squared_error: 0.7588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8858, f_measure: 0.6742, kappa: 0.64, kb_relative_information_score: 1369.6806, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6732, predictive_accuracy: 0.676, prior_entropy: 3.3219, recall: 0.676, relative_absolute_error: 0.3822, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2235, root_relative_squared_error: 0.7451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, f_measure: 0.6495, kappa: 0.6133, kb_relative_information_score: 1344.8728, mean_absolute_error: 0.0758, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6479, predictive_accuracy: 0.652, prior_entropy: 3.3219, recall: 0.652, relative_absolute_error: 0.4212, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2147, root_relative_squared_error: 0.7156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9045, f_measure: 0.6487, kappa: 0.6144, kb_relative_information_score: 1344.221, mean_absolute_error: 0.073, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6454, predictive_accuracy: 0.653, prior_entropy: 3.3219, recall: 0.653, relative_absolute_error: 0.4056, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2215, root_relative_squared_error: 0.7382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8839, f_measure: 0.6593, kappa: 0.6233, kb_relative_information_score: 1347.2538, mean_absolute_error: 0.0704, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.66, predictive_accuracy: 0.661, prior_entropy: 3.3219, recall: 0.661, relative_absolute_error: 0.391, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.227, root_relative_squared_error: 0.7568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8566, f_measure: 0.6613, kappa: 0.6261, kb_relative_information_score: 1338.4329, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.662, predictive_accuracy: 0.6635, prior_entropy: 3.3219, recall: 0.6635, relative_absolute_error: 0.3827, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2363, root_relative_squared_error: 0.7876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8805, f_measure: 0.6697, kappa: 0.6356, kb_relative_information_score: 1361.9441, mean_absolute_error: 0.0686, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6693, predictive_accuracy: 0.672, prior_entropy: 3.3219, recall: 0.672, relative_absolute_error: 0.3814, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2255, root_relative_squared_error: 0.7515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8618, f_measure: 0.6781, kappa: 0.6433, kb_relative_information_score: 1366.0445, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6774, predictive_accuracy: 0.679, prior_entropy: 3.3219, recall: 0.679, relative_absolute_error: 0.3693, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2328, root_relative_squared_error: 0.7761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9071, f_measure: 0.6725, kappa: 0.6389, kb_relative_information_score: 1378.5024, mean_absolute_error: 0.0699, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6711, predictive_accuracy: 0.675, prior_entropy: 3.3219, recall: 0.675, relative_absolute_error: 0.3882, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2166, root_relative_squared_error: 0.722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8556, f_measure: 0.674, kappa: 0.6406, kb_relative_information_score: 1354.3465, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6729, predictive_accuracy: 0.6765, prior_entropy: 3.3219, recall: 0.6765, relative_absolute_error: 0.3729, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2346, root_relative_squared_error: 0.782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8273, f_measure: 0.6705, kappa: 0.6356, kb_relative_information_score: 1323.8541, mean_absolute_error: 0.0664, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6704, predictive_accuracy: 0.672, prior_entropy: 3.3219, recall: 0.672, relative_absolute_error: 0.3687, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2488, root_relative_squared_error: 0.8292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9183, f_measure: 0.6449, kappa: 0.61, kb_relative_information_score: 1326.844, mean_absolute_error: 0.0781, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.643, predictive_accuracy: 0.649, prior_entropy: 3.3219, recall: 0.649, relative_absolute_error: 0.4339, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2156, root_relative_squared_error: 0.7187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8668, f_measure: 0.6615, kappa: 0.6267, kb_relative_information_score: 1341.0797, mean_absolute_error: 0.069, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6616, predictive_accuracy: 0.664, prior_entropy: 3.3219, recall: 0.664, relative_absolute_error: 0.3835, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2331, root_relative_squared_error: 0.7769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9167, f_measure: 0.649, kappa: 0.6139, kb_relative_information_score: 1342.9658, mean_absolute_error: 0.0757, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6465, predictive_accuracy: 0.6525, prior_entropy: 3.3219, recall: 0.6525, relative_absolute_error: 0.4206, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2157, root_relative_squared_error: 0.719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9143, f_measure: 0.6615, kappa: 0.6278, kb_relative_information_score: 1356.0488, mean_absolute_error: 0.073, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6586, predictive_accuracy: 0.665, prior_entropy: 3.3219, recall: 0.665, relative_absolute_error: 0.4056, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2161, root_relative_squared_error: 0.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8758, f_measure: 0.6604, kappa: 0.6233, kb_relative_information_score: 1342.2326, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6613, predictive_accuracy: 0.661, prior_entropy: 3.3219, recall: 0.661, relative_absolute_error: 0.3853, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2305, root_relative_squared_error: 0.7685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9197, f_measure: 0.6427, kappa: 0.6072, kb_relative_information_score: 1329.3232, mean_absolute_error: 0.0779, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6406, predictive_accuracy: 0.6465, prior_entropy: 3.3219, recall: 0.6465, relative_absolute_error: 0.4326, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2159, root_relative_squared_error: 0.7198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.895, f_measure: 0.6667, kappa: 0.6311, kb_relative_information_score: 1356.1974, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6666, predictive_accuracy: 0.668, prior_entropy: 3.3219, recall: 0.668, relative_absolute_error: 0.3944, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2212, root_relative_squared_error: 0.7375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.6495, kappa: 0.615, kb_relative_information_score: 1329.7299, mean_absolute_error: 0.0776, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6479, predictive_accuracy: 0.6535, prior_entropy: 3.3219, recall: 0.6535, relative_absolute_error: 0.4314, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2153, root_relative_squared_error: 0.7178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.6565, kappa: 0.6233, kb_relative_information_score: 1349.3734, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6532, predictive_accuracy: 0.661, prior_entropy: 3.3219, recall: 0.661, relative_absolute_error: 0.4134, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2162, root_relative_squared_error: 0.7207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8851, f_measure: 0.6585, kappa: 0.6233, kb_relative_information_score: 1352.1255, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6576, predictive_accuracy: 0.661, prior_entropy: 3.3219, recall: 0.661, relative_absolute_error: 0.3895, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2252, root_relative_squared_error: 0.7508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.6657, kappa: 0.6317, kb_relative_information_score: 1350.9982, mean_absolute_error: 0.0683, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6649, predictive_accuracy: 0.6685, prior_entropy: 3.3219, recall: 0.6685, relative_absolute_error: 0.3795, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2316, root_relative_squared_error: 0.7722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8544, f_measure: 0.6735, kappa: 0.6383, kb_relative_information_score: 1346.9994, mean_absolute_error: 0.0677, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.673, predictive_accuracy: 0.6745, prior_entropy: 3.3219, recall: 0.6745, relative_absolute_error: 0.3762, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2355, root_relative_squared_error: 0.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9172, f_measure: 0.649, kappa: 0.6139, kb_relative_information_score: 1345.1144, mean_absolute_error: 0.0756, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6466, predictive_accuracy: 0.6525, prior_entropy: 3.3219, recall: 0.6525, relative_absolute_error: 0.4201, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2154, root_relative_squared_error: 0.718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8637, f_measure: 0.6751, kappa: 0.6406, kb_relative_information_score: 1363.1812, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6741, predictive_accuracy: 0.6765, prior_entropy: 3.3219, recall: 0.6765, relative_absolute_error: 0.372, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2322, root_relative_squared_error: 0.7739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8757, f_measure: 0.6579, kappa: 0.6217, kb_relative_information_score: 1339.8055, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.658, predictive_accuracy: 0.6595, prior_entropy: 3.3219, recall: 0.6595, relative_absolute_error: 0.3889, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2308, root_relative_squared_error: 0.7693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8845, f_measure: 0.6605, kappa: 0.6261, kb_relative_information_score: 1352.5226, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6594, predictive_accuracy: 0.6635, prior_entropy: 3.3219, recall: 0.6635, relative_absolute_error: 0.3905, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2253, root_relative_squared_error: 0.7511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9238, f_measure: 0.6704, kappa: 0.635, kb_relative_information_score: 1383.197, mean_absolute_error: 0.0732, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6742, predictive_accuracy: 0.6715, prior_entropy: 3.3219, recall: 0.6715, relative_absolute_error: 0.4065, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2082, root_relative_squared_error: 0.694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8967, f_measure: 0.6627, kappa: 0.6278, kb_relative_information_score: 1355.8208, mean_absolute_error: 0.0709, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6617, predictive_accuracy: 0.665, prior_entropy: 3.3219, recall: 0.665, relative_absolute_error: 0.3937, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2216, root_relative_squared_error: 0.7387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9142, f_measure: 0.658, kappa: 0.6239, kb_relative_information_score: 1353.2088, mean_absolute_error: 0.0733, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6553, predictive_accuracy: 0.6615, prior_entropy: 3.3219, recall: 0.6615, relative_absolute_error: 0.4071, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2166, root_relative_squared_error: 0.7219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9112, f_measure: 0.65, kappa: 0.6156, kb_relative_information_score: 1350.6636, mean_absolute_error: 0.0733, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6467, predictive_accuracy: 0.654, prior_entropy: 3.3219, recall: 0.654, relative_absolute_error: 0.4073, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2182, root_relative_squared_error: 0.7273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9251, f_measure: 0.6653, kappa: 0.6272, kb_relative_information_score: 1369.3077, mean_absolute_error: 0.0756, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6747, predictive_accuracy: 0.6645, prior_entropy: 3.3219, recall: 0.6645, relative_absolute_error: 0.42, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2093, root_relative_squared_error: 0.6977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9147, f_measure: 0.6614, kappa: 0.6278, kb_relative_information_score: 1364.7849, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6585, predictive_accuracy: 0.665, prior_entropy: 3.3219, recall: 0.665, relative_absolute_error: 0.4005, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.7164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9078, f_measure: 0.6723, kappa: 0.6389, kb_relative_information_score: 1383.0458, mean_absolute_error: 0.0699, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6705, predictive_accuracy: 0.675, prior_entropy: 3.3219, recall: 0.675, relative_absolute_error: 0.3881, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2146, root_relative_squared_error: 0.7154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9047, f_measure: 0.6507, kappa: 0.6161, kb_relative_information_score: 1345.1959, mean_absolute_error: 0.0729, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6479, predictive_accuracy: 0.6545, prior_entropy: 3.3219, recall: 0.6545, relative_absolute_error: 0.405, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2209, root_relative_squared_error: 0.7364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, f_measure: 0.6667, kappa: 0.6289, kb_relative_information_score: 1373.5714, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6759, predictive_accuracy: 0.666, prior_entropy: 3.3219, recall: 0.666, relative_absolute_error: 0.4164, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.6955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9197, f_measure: 0.6437, kappa: 0.6083, kb_relative_information_score: 1331.234, mean_absolute_error: 0.0777, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6416, predictive_accuracy: 0.6475, prior_entropy: 3.3219, recall: 0.6475, relative_absolute_error: 0.4316, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2157, root_relative_squared_error: 0.7189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8903, f_measure: 0.6638, kappa: 0.6283, kb_relative_information_score: 1349.1024, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6637, predictive_accuracy: 0.6655, prior_entropy: 3.3219, recall: 0.6655, relative_absolute_error: 0.3958, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.224, root_relative_squared_error: 0.7468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9162, f_measure: 0.6502, kappa: 0.6156, kb_relative_information_score: 1348.8898, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6473, predictive_accuracy: 0.654, prior_entropy: 3.3219, recall: 0.654, relative_absolute_error: 0.4168, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2154, root_relative_squared_error: 0.7181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.912, f_measure: 0.6495, kappa: 0.6144, kb_relative_information_score: 1346.5164, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6466, predictive_accuracy: 0.653, prior_entropy: 3.3219, recall: 0.653, relative_absolute_error: 0.4085, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2187, root_relative_squared_error: 0.7291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9183, f_measure: 0.6501, kappa: 0.6156, kb_relative_information_score: 1331.7249, mean_absolute_error: 0.0777, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6485, predictive_accuracy: 0.654, prior_entropy: 3.3219, recall: 0.654, relative_absolute_error: 0.4315, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2146, root_relative_squared_error: 0.7153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9176, f_measure: 0.6502, kappa: 0.6156, kb_relative_information_score: 1329.0086, mean_absolute_error: 0.0778, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6484, predictive_accuracy: 0.654, prior_entropy: 3.3219, recall: 0.654, relative_absolute_error: 0.432, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2154, root_relative_squared_error: 0.7179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9242, f_measure: 0.6663, kappa: 0.6283, kb_relative_information_score: 1371.7806, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6754, predictive_accuracy: 0.6655, prior_entropy: 3.3219, recall: 0.6655, relative_absolute_error: 0.4175, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.6971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9249, f_measure: 0.6658, kappa: 0.6278, kb_relative_information_score: 1371.8755, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6751, predictive_accuracy: 0.665, prior_entropy: 3.3219, recall: 0.665, relative_absolute_error: 0.4172, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.6969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9165, f_measure: 0.6476, kappa: 0.6122, kb_relative_information_score: 1342.0327, mean_absolute_error: 0.0758, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6452, predictive_accuracy: 0.651, prior_entropy: 3.3219, recall: 0.651, relative_absolute_error: 0.4208, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.216, root_relative_squared_error: 0.7201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.92, f_measure: 0.6549, kappa: 0.6189, kb_relative_information_score: 1330.6531, mean_absolute_error: 0.0783, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6554, predictive_accuracy: 0.657, prior_entropy: 3.3219, recall: 0.657, relative_absolute_error: 0.4351, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2137, root_relative_squared_error: 0.7124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9124, f_measure: 0.6536, kappa: 0.6194, kb_relative_information_score: 1354.4495, mean_absolute_error: 0.0729, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6504, predictive_accuracy: 0.6575, prior_entropy: 3.3219, recall: 0.6575, relative_absolute_error: 0.4052, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2175, root_relative_squared_error: 0.7248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9169, f_measure: 0.651, kappa: 0.615, kb_relative_information_score: 1322.8514, mean_absolute_error: 0.0792, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6513, predictive_accuracy: 0.6535, prior_entropy: 3.3219, recall: 0.6535, relative_absolute_error: 0.4401, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.7162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9014, f_measure: 0.6559, kappa: 0.6211, kb_relative_information_score: 1343.9424, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6536, predictive_accuracy: 0.659, prior_entropy: 3.3219, recall: 0.659, relative_absolute_error: 0.4062, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.221, root_relative_squared_error: 0.7366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9167, f_measure: 0.648, kappa: 0.6128, kb_relative_information_score: 1344.0891, mean_absolute_error: 0.0756, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6454, predictive_accuracy: 0.6515, prior_entropy: 3.3219, recall: 0.6515, relative_absolute_error: 0.4197, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2159, root_relative_squared_error: 0.7196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9245, f_measure: 0.6658, kappa: 0.6278, kb_relative_information_score: 1370.7392, mean_absolute_error: 0.0753, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6752, predictive_accuracy: 0.665, prior_entropy: 3.3219, recall: 0.665, relative_absolute_error: 0.4182, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2094, root_relative_squared_error: 0.6978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.908, f_measure: 0.674, kappa: 0.6411, kb_relative_information_score: 1385.2986, mean_absolute_error: 0.0697, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.672, predictive_accuracy: 0.677, prior_entropy: 3.3219, recall: 0.677, relative_absolute_error: 0.3871, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2143, root_relative_squared_error: 0.7143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9256, f_measure: 0.6731, kappa: 0.6356, kb_relative_information_score: 1379.1122, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6828, predictive_accuracy: 0.672, prior_entropy: 3.3219, recall: 0.672, relative_absolute_error: 0.4131, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2083, root_relative_squared_error: 0.6942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9177, f_measure: 0.6714, kappa: 0.6378, kb_relative_information_score: 1389.3078, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.671, predictive_accuracy: 0.674, prior_entropy: 3.3219, recall: 0.674, relative_absolute_error: 0.3948, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.21, root_relative_squared_error: 0.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9166, f_measure: 0.6708, kappa: 0.6372, kb_relative_information_score: 1387.9706, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6703, predictive_accuracy: 0.6735, prior_entropy: 3.3219, recall: 0.6735, relative_absolute_error: 0.3967, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2101, root_relative_squared_error: 0.7004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.6471, kappa: 0.6122, kb_relative_information_score: 1327.0566, mean_absolute_error: 0.078, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6453, predictive_accuracy: 0.651, prior_entropy: 3.3219, recall: 0.651, relative_absolute_error: 0.4333, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2159, root_relative_squared_error: 0.7197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8835, f_measure: 0.6622, kappa: 0.6278, kb_relative_information_score: 1350.1095, mean_absolute_error: 0.0705, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6613, predictive_accuracy: 0.665, prior_entropy: 3.3219, recall: 0.665, relative_absolute_error: 0.3917, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2258, root_relative_squared_error: 0.7526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8851, f_measure: 0.6606, kappa: 0.6261, kb_relative_information_score: 1351.3256, mean_absolute_error: 0.0705, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6596, predictive_accuracy: 0.6635, prior_entropy: 3.3219, recall: 0.6635, relative_absolute_error: 0.3916, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2256, root_relative_squared_error: 0.7521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9169, f_measure: 0.6478, kappa: 0.6122, kb_relative_information_score: 1343.7656, mean_absolute_error: 0.0757, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6455, predictive_accuracy: 0.651, prior_entropy: 3.3219, recall: 0.651, relative_absolute_error: 0.4204, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2157, root_relative_squared_error: 0.7191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, f_measure: 0.6643, kappa: 0.63, kb_relative_information_score: 1351.8139, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.663, predictive_accuracy: 0.667, prior_entropy: 3.3219, recall: 0.667, relative_absolute_error: 0.3905, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2252, root_relative_squared_error: 0.7506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, f_measure: 0.672, kappa: 0.6383, kb_relative_information_score: 1384.6937, mean_absolute_error: 0.069, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6705, predictive_accuracy: 0.6745, prior_entropy: 3.3219, recall: 0.6745, relative_absolute_error: 0.3836, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2157, root_relative_squared_error: 0.7189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9189, f_measure: 0.6498, kappa: 0.6144, kb_relative_information_score: 1335.3828, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6483, predictive_accuracy: 0.653, prior_entropy: 3.3219, recall: 0.653, relative_absolute_error: 0.4266, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2155, root_relative_squared_error: 0.7184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9193, f_measure: 0.6512, kappa: 0.6161, kb_relative_information_score: 1335.5549, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6496, predictive_accuracy: 0.6545, prior_entropy: 3.3219, recall: 0.6545, relative_absolute_error: 0.4269, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2152, root_relative_squared_error: 0.7174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9167, f_measure: 0.6487, kappa: 0.6133, kb_relative_information_score: 1341.4749, mean_absolute_error: 0.076, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6462, predictive_accuracy: 0.652, prior_entropy: 3.3219, recall: 0.652, relative_absolute_error: 0.4222, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2161, root_relative_squared_error: 0.7203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8679, f_measure: 0.6607, kappa: 0.6261, kb_relative_information_score: 1342.0206, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6601, predictive_accuracy: 0.6635, prior_entropy: 3.3219, recall: 0.6635, relative_absolute_error: 0.3819, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2325, root_relative_squared_error: 0.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8989, f_measure: 0.6689, kappa: 0.6339, kb_relative_information_score: 1378.0877, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6682, predictive_accuracy: 0.6705, prior_entropy: 3.3219, recall: 0.6705, relative_absolute_error: 0.3826, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2197, root_relative_squared_error: 0.7323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8714, f_measure: 0.672, kappa: 0.6378, kb_relative_information_score: 1358.1777, mean_absolute_error: 0.069, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6712, predictive_accuracy: 0.674, prior_entropy: 3.3219, recall: 0.674, relative_absolute_error: 0.3836, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2285, root_relative_squared_error: 0.7618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9156, f_measure: 0.6584, kappa: 0.625, kb_relative_information_score: 1350.8833, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6553, predictive_accuracy: 0.6625, prior_entropy: 3.3219, recall: 0.6625, relative_absolute_error: 0.4137, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.7192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8573, f_measure: 0.6706, kappa: 0.6372, kb_relative_information_score: 1353.053, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6696, predictive_accuracy: 0.6735, prior_entropy: 3.3219, recall: 0.6735, relative_absolute_error: 0.3806, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.234, root_relative_squared_error: 0.7799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9187, f_measure: 0.6507, kappa: 0.6161, kb_relative_information_score: 1333.1289, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6489, predictive_accuracy: 0.6545, prior_entropy: 3.3219, recall: 0.6545, relative_absolute_error: 0.4299, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2146, root_relative_squared_error: 0.7154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.871, f_measure: 0.6777, kappa: 0.6422, kb_relative_information_score: 1358.0504, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6782, predictive_accuracy: 0.678, prior_entropy: 3.3219, recall: 0.678, relative_absolute_error: 0.3802, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2292, root_relative_squared_error: 0.764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9189, f_measure: 0.6493, kappa: 0.6139, kb_relative_information_score: 1334.9255, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6478, predictive_accuracy: 0.6525, prior_entropy: 3.3219, recall: 0.6525, relative_absolute_error: 0.4274, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2156, root_relative_squared_error: 0.7185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9036, f_measure: 0.669, kappa: 0.6344, kb_relative_information_score: 1378.8104, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6683, predictive_accuracy: 0.671, prior_entropy: 3.3219, recall: 0.671, relative_absolute_error: 0.3854, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2183, root_relative_squared_error: 0.7278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9152, f_measure: 0.6484, kappa: 0.6133, kb_relative_information_score: 1341.9394, mean_absolute_error: 0.0757, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.646, predictive_accuracy: 0.652, prior_entropy: 3.3219, recall: 0.652, relative_absolute_error: 0.4205, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2163, root_relative_squared_error: 0.7209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9156, f_measure: 0.6679, kappa: 0.6339, kb_relative_information_score: 1387.6125, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6671, predictive_accuracy: 0.6705, prior_entropy: 3.3219, recall: 0.6705, relative_absolute_error: 0.3931, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2109, root_relative_squared_error: 0.703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8405, f_measure: 0.6676, kappa: 0.6333, kb_relative_information_score: 1333.8443, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6661, predictive_accuracy: 0.67, prior_entropy: 3.3219, recall: 0.67, relative_absolute_error: 0.3724, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2429, root_relative_squared_error: 0.8098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.92, f_measure: 0.6492, kappa: 0.6139, kb_relative_information_score: 1336.9765, mean_absolute_error: 0.0766, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6476, predictive_accuracy: 0.6525, prior_entropy: 3.3219, recall: 0.6525, relative_absolute_error: 0.4255, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2151, root_relative_squared_error: 0.7171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9173, f_measure: 0.6524, kappa: 0.6167, kb_relative_information_score: 1323.9493, mean_absolute_error: 0.0792, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6526, predictive_accuracy: 0.655, prior_entropy: 3.3219, recall: 0.655, relative_absolute_error: 0.4401, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2144, root_relative_squared_error: 0.7146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.919, f_measure: 0.6507, kappa: 0.6144, kb_relative_information_score: 1345.88, mean_absolute_error: 0.0756, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6493, predictive_accuracy: 0.653, prior_entropy: 3.3219, recall: 0.653, relative_absolute_error: 0.4198, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2146, root_relative_squared_error: 0.7153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8952, f_measure: 0.6675, kappa: 0.6322, kb_relative_information_score: 1376.8799, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6667, predictive_accuracy: 0.669, prior_entropy: 3.3219, recall: 0.669, relative_absolute_error: 0.382, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2212, root_relative_squared_error: 0.7373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8794, f_measure: 0.6611, kappa: 0.6261, kb_relative_information_score: 1343.847, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6609, predictive_accuracy: 0.6635, prior_entropy: 3.3219, recall: 0.6635, relative_absolute_error: 0.3943, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2275, root_relative_squared_error: 0.7584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9183, f_measure: 0.6527, kappa: 0.6167, kb_relative_information_score: 1347.3534, mean_absolute_error: 0.0757, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6513, predictive_accuracy: 0.655, prior_entropy: 3.3219, recall: 0.655, relative_absolute_error: 0.4204, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2145, root_relative_squared_error: 0.7149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9206, f_measure: 0.6646, kappa: 0.6294, kb_relative_information_score: 1379.6761, mean_absolute_error: 0.0734, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6647, predictive_accuracy: 0.6665, prior_entropy: 3.3219, recall: 0.6665, relative_absolute_error: 0.4077, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2099, root_relative_squared_error: 0.6998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8892, f_measure: 0.6669, kappa: 0.6317, kb_relative_information_score: 1352.8783, mean_absolute_error: 0.0705, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6669, predictive_accuracy: 0.6685, prior_entropy: 3.3219, recall: 0.6685, relative_absolute_error: 0.3918, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.224, root_relative_squared_error: 0.7468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9187, f_measure: 0.67, kappa: 0.6367, kb_relative_information_score: 1383.466, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6689, predictive_accuracy: 0.673, prior_entropy: 3.3219, recall: 0.673, relative_absolute_error: 0.4028, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2099, root_relative_squared_error: 0.6998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9126, f_measure: 0.6473, kappa: 0.6128, kb_relative_information_score: 1353.3426, mean_absolute_error: 0.0728, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6438, predictive_accuracy: 0.6515, prior_entropy: 3.3219, recall: 0.6515, relative_absolute_error: 0.4043, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.218, root_relative_squared_error: 0.7267,

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