Task
Supervised Classification on mfeat-morphological

Supervised Classification on mfeat-morphological

Task 18 Supervised Classification mfeat-morphological 21770 runs submitted
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  • 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
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21770 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9464, f_measure: 0.7089, kappa: 0.6856, kb_relative_information_score: 1471.7785, mean_absolute_error: 0.0683, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7125, predictive_accuracy: 0.717, prior_entropy: 3.3219, recall: 0.717, relative_absolute_error: 0.3793, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1935, root_relative_squared_error: 0.6451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9466, f_measure: 0.6545, kappa: 0.6556, kb_relative_information_score: 1408.8446, mean_absolute_error: 0.0788, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6473, predictive_accuracy: 0.69, prior_entropy: 3.3219, recall: 0.69, relative_absolute_error: 0.4379, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2008, root_relative_squared_error: 0.6693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9237, f_measure: 0.6862, kappa: 0.6528, kb_relative_information_score: 1432.4996, mean_absolute_error: 0.068, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6869, predictive_accuracy: 0.6875, prior_entropy: 3.3219, recall: 0.6875, relative_absolute_error: 0.3776, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2103, root_relative_squared_error: 0.7011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9331, f_measure: 0.578, kappa: 0.5728, kb_relative_information_score: 1340.5177, mean_absolute_error: 0.0883, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.5718, predictive_accuracy: 0.6155, prior_entropy: 3.3219, recall: 0.6155, relative_absolute_error: 0.4907, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.7054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9489, f_measure: 0.6828, kappa: 0.6722, kb_relative_information_score: 1426.0139, mean_absolute_error: 0.0765, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7136, predictive_accuracy: 0.705, prior_entropy: 3.3219, recall: 0.705, relative_absolute_error: 0.4247, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1983, root_relative_squared_error: 0.6611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9479, f_measure: 0.6912, kappa: 0.6567, kb_relative_information_score: 1449.5632, mean_absolute_error: 0.0707, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6939, predictive_accuracy: 0.691, prior_entropy: 3.3219, recall: 0.691, relative_absolute_error: 0.3928, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1979, root_relative_squared_error: 0.6598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9506, f_measure: 0.6865, kappa: 0.6744, kb_relative_information_score: 1435.1375, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7141, predictive_accuracy: 0.707, prior_entropy: 3.3219, recall: 0.707, relative_absolute_error: 0.4171, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.197, root_relative_squared_error: 0.6567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.949, f_measure: 0.6913, kappa: 0.6578, kb_relative_information_score: 1435.5425, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6943, predictive_accuracy: 0.692, prior_entropy: 3.3219, recall: 0.692, relative_absolute_error: 0.4101, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1982, root_relative_squared_error: 0.6605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9496, f_measure: 0.6839, kappa: 0.6561, kb_relative_information_score: 1426.7343, mean_absolute_error: 0.0759, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6903, predictive_accuracy: 0.6905, prior_entropy: 3.3219, recall: 0.6905, relative_absolute_error: 0.4215, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1988, root_relative_squared_error: 0.6627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9412, f_measure: 0.6933, kappa: 0.66, kb_relative_information_score: 1444.3466, mean_absolute_error: 0.0691, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6944, predictive_accuracy: 0.694, prior_entropy: 3.3219, recall: 0.694, relative_absolute_error: 0.384, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2023, root_relative_squared_error: 0.6742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9466, f_measure: 0.6545, kappa: 0.6556, kb_relative_information_score: 1408.8446, mean_absolute_error: 0.0788, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6473, predictive_accuracy: 0.69, prior_entropy: 3.3219, recall: 0.69, relative_absolute_error: 0.4379, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2008, root_relative_squared_error: 0.6693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9147, f_measure: 0.46, kappa: 0.5222, kb_relative_information_score: 1285.2295, mean_absolute_error: 0.0948, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.4151, predictive_accuracy: 0.57, prior_entropy: 3.3219, recall: 0.57, relative_absolute_error: 0.5268, 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: 0.9491, f_measure: 0.6933, kappa: 0.6606, kb_relative_information_score: 1434.8706, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6969, predictive_accuracy: 0.6945, prior_entropy: 3.3219, recall: 0.6945, relative_absolute_error: 0.4118, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1979, root_relative_squared_error: 0.6595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9389, f_measure: 0.6021, kappa: 0.6061, kb_relative_information_score: 1379.5972, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.5888, predictive_accuracy: 0.6455, prior_entropy: 3.3219, recall: 0.6455, relative_absolute_error: 0.4644, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.206, root_relative_squared_error: 0.6867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9491, f_measure: 0.6947, kappa: 0.6672, kb_relative_information_score: 1436.369, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7022, predictive_accuracy: 0.7005, prior_entropy: 3.3219, recall: 0.7005, relative_absolute_error: 0.413, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1972, root_relative_squared_error: 0.6572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9449, f_measure: 0.6515, kappa: 0.6506, kb_relative_information_score: 1402.1904, mean_absolute_error: 0.0797, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6487, predictive_accuracy: 0.6855, prior_entropy: 3.3219, recall: 0.6855, relative_absolute_error: 0.4428, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2017, root_relative_squared_error: 0.6724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9389, f_measure: 0.6021, kappa: 0.6061, kb_relative_information_score: 1379.5972, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.5888, predictive_accuracy: 0.6455, prior_entropy: 3.3219, recall: 0.6455, relative_absolute_error: 0.4644, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.206, root_relative_squared_error: 0.6867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9485, f_measure: 0.6939, kappa: 0.66, kb_relative_information_score: 1449.5601, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6963, predictive_accuracy: 0.694, prior_entropy: 3.3219, recall: 0.694, relative_absolute_error: 0.3933, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1975, root_relative_squared_error: 0.6584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9147, f_measure: 0.46, kappa: 0.5222, kb_relative_information_score: 1285.2295, mean_absolute_error: 0.0948, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.4151, predictive_accuracy: 0.57, prior_entropy: 3.3219, recall: 0.57, relative_absolute_error: 0.5268, 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: 0.9467, f_measure: 0.6678, kappa: 0.6356, kb_relative_information_score: 1415.9975, mean_absolute_error: 0.0773, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6757, predictive_accuracy: 0.672, prior_entropy: 3.3219, recall: 0.672, relative_absolute_error: 0.4297, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2004, root_relative_squared_error: 0.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.949, f_measure: 0.6913, kappa: 0.6578, kb_relative_information_score: 1435.5425, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6943, predictive_accuracy: 0.692, prior_entropy: 3.3219, recall: 0.692, relative_absolute_error: 0.4101, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1982, root_relative_squared_error: 0.6605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9465, f_measure: 0.6542, kappa: 0.655, kb_relative_information_score: 1408.154, mean_absolute_error: 0.079, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6466, predictive_accuracy: 0.6895, prior_entropy: 3.3219, recall: 0.6895, relative_absolute_error: 0.4386, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2009, root_relative_squared_error: 0.6696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9449, f_measure: 0.6515, kappa: 0.6506, kb_relative_information_score: 1402.1904, mean_absolute_error: 0.0797, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6487, predictive_accuracy: 0.6855, prior_entropy: 3.3219, recall: 0.6855, relative_absolute_error: 0.4428, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2017, root_relative_squared_error: 0.6724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9494, f_measure: 0.6855, kappa: 0.6528, kb_relative_information_score: 1427.222, mean_absolute_error: 0.0756, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6898, predictive_accuracy: 0.6875, prior_entropy: 3.3219, recall: 0.6875, relative_absolute_error: 0.4199, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.199, root_relative_squared_error: 0.6634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9264, f_measure: 0.5468, kappa: 0.5517, kb_relative_information_score: 1314.832, mean_absolute_error: 0.0914, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.573, predictive_accuracy: 0.5965, prior_entropy: 3.3219, recall: 0.5965, relative_absolute_error: 0.5076, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2151, root_relative_squared_error: 0.7169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, f_measure: 0.6834, kappa: 0.6739, kb_relative_information_score: 1433.8477, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7117, predictive_accuracy: 0.7065, prior_entropy: 3.3219, recall: 0.7065, relative_absolute_error: 0.4166, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.6561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9485, f_measure: 0.6861, kappa: 0.6533, kb_relative_information_score: 1428.5946, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6892, predictive_accuracy: 0.688, prior_entropy: 3.3219, recall: 0.688, relative_absolute_error: 0.414, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1997, root_relative_squared_error: 0.6655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.949, f_measure: 0.6913, kappa: 0.6578, kb_relative_information_score: 1435.5425, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6943, predictive_accuracy: 0.692, prior_entropy: 3.3219, recall: 0.692, relative_absolute_error: 0.4101, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1982, root_relative_squared_error: 0.6605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9387, f_measure: 0.6001, kappa: 0.6039, kb_relative_information_score: 1378.2434, mean_absolute_error: 0.0839, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.5859, predictive_accuracy: 0.6435, prior_entropy: 3.3219, recall: 0.6435, relative_absolute_error: 0.4662, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.6878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9488, f_measure: 0.6923, kappa: 0.6583, kb_relative_information_score: 1451.3796, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6956, predictive_accuracy: 0.6925, prior_entropy: 3.3219, recall: 0.6925, relative_absolute_error: 0.3932, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1971, root_relative_squared_error: 0.6568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.858, f_measure: 0.6559, kappa: 0.6167, kb_relative_information_score: 1351.1127, mean_absolute_error: 0.0676, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6574, predictive_accuracy: 0.655, prior_entropy: 3.3219, recall: 0.655, relative_absolute_error: 0.3758, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.242, root_relative_squared_error: 0.8068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9045, f_measure: 0.6741, kappa: 0.6394, kb_relative_information_score: 1411.3704, mean_absolute_error: 0.0668, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6738, predictive_accuracy: 0.6755, prior_entropy: 3.3219, recall: 0.6755, relative_absolute_error: 0.3713, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2202, root_relative_squared_error: 0.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8789, f_measure: 0.6725, kappa: 0.6361, kb_relative_information_score: 1393.5669, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.673, predictive_accuracy: 0.6725, prior_entropy: 3.3219, recall: 0.6725, relative_absolute_error: 0.367, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2297, root_relative_squared_error: 0.7656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9449, f_measure: 0.6515, kappa: 0.6506, kb_relative_information_score: 1402.1904, mean_absolute_error: 0.0797, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6487, predictive_accuracy: 0.6855, prior_entropy: 3.3219, recall: 0.6855, relative_absolute_error: 0.4428, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2017, root_relative_squared_error: 0.6724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9234, f_measure: 0.5235, kappa: 0.5406, kb_relative_information_score: 1304.2215, mean_absolute_error: 0.0925, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.5706, predictive_accuracy: 0.5865, prior_entropy: 3.3219, recall: 0.5865, relative_absolute_error: 0.514, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2164, root_relative_squared_error: 0.7215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9389, f_measure: 0.6021, kappa: 0.6061, kb_relative_information_score: 1379.5972, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.5888, predictive_accuracy: 0.6455, prior_entropy: 3.3219, recall: 0.6455, relative_absolute_error: 0.4644, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.206, root_relative_squared_error: 0.6867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9466, f_measure: 0.6545, kappa: 0.6556, kb_relative_information_score: 1408.8446, mean_absolute_error: 0.0788, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6473, predictive_accuracy: 0.69, prior_entropy: 3.3219, recall: 0.69, relative_absolute_error: 0.4379, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2008, root_relative_squared_error: 0.6693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9504, f_measure: 0.6934, kappa: 0.6839, kb_relative_information_score: 1453.6246, mean_absolute_error: 0.0724, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.711, predictive_accuracy: 0.7155, prior_entropy: 3.3219, recall: 0.7155, relative_absolute_error: 0.402, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1943, root_relative_squared_error: 0.6477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9479, f_measure: 0.6912, kappa: 0.6567, kb_relative_information_score: 1449.5632, mean_absolute_error: 0.0707, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6939, predictive_accuracy: 0.691, prior_entropy: 3.3219, recall: 0.691, relative_absolute_error: 0.3928, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1979, root_relative_squared_error: 0.6598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9411, f_measure: 0.7028, kappa: 0.6733, kb_relative_information_score: 1455.1233, mean_absolute_error: 0.069, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.705, predictive_accuracy: 0.706, prior_entropy: 3.3219, recall: 0.706, relative_absolute_error: 0.3833, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1989, root_relative_squared_error: 0.6629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.947, f_measure: 0.677, kappa: 0.6494, kb_relative_information_score: 1416.0374, mean_absolute_error: 0.0776, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6876, predictive_accuracy: 0.6845, prior_entropy: 3.3219, recall: 0.6845, relative_absolute_error: 0.4312, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2, root_relative_squared_error: 0.6667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9173, f_measure: 0.6843, kappa: 0.6506, kb_relative_information_score: 1423.7118, mean_absolute_error: 0.0677, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6847, predictive_accuracy: 0.6855, prior_entropy: 3.3219, recall: 0.6855, relative_absolute_error: 0.3759, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2142, root_relative_squared_error: 0.7139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9147, f_measure: 0.46, kappa: 0.5222, kb_relative_information_score: 1285.2295, mean_absolute_error: 0.0948, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.4151, predictive_accuracy: 0.57, prior_entropy: 3.3219, recall: 0.57, relative_absolute_error: 0.5268, 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: 0.949, f_measure: 0.6912, kappa: 0.6578, kb_relative_information_score: 1435.6842, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6942, predictive_accuracy: 0.692, prior_entropy: 3.3219, recall: 0.692, relative_absolute_error: 0.4101, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1981, root_relative_squared_error: 0.6604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9497, f_measure: 0.686, kappa: 0.6539, kb_relative_information_score: 1428.1662, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.689, predictive_accuracy: 0.6885, prior_entropy: 3.3219, recall: 0.6885, relative_absolute_error: 0.4172, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1993, root_relative_squared_error: 0.6642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9479, f_measure: 0.6639, kappa: 0.6667, kb_relative_information_score: 1423.5208, mean_absolute_error: 0.077, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6574, predictive_accuracy: 0.7, prior_entropy: 3.3219, recall: 0.7, relative_absolute_error: 0.428, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1985, root_relative_squared_error: 0.6618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.949, f_measure: 0.6913, kappa: 0.6578, kb_relative_information_score: 1435.5425, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6943, predictive_accuracy: 0.692, prior_entropy: 3.3219, recall: 0.692, relative_absolute_error: 0.4101, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1982, root_relative_squared_error: 0.6605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9446, f_measure: 0.6481, kappa: 0.6467, kb_relative_information_score: 1398.9553, mean_absolute_error: 0.0803, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6433, predictive_accuracy: 0.682, prior_entropy: 3.3219, recall: 0.682, relative_absolute_error: 0.4462, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2023, root_relative_squared_error: 0.6743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.949, f_measure: 0.6912, kappa: 0.6578, kb_relative_information_score: 1435.6842, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6942, predictive_accuracy: 0.692, prior_entropy: 3.3219, recall: 0.692, relative_absolute_error: 0.4101, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1981, root_relative_squared_error: 0.6604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9503, f_measure: 0.6792, kappa: 0.6789, kb_relative_information_score: 1444.5847, mean_absolute_error: 0.0734, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.692, predictive_accuracy: 0.711, prior_entropy: 3.3219, recall: 0.711, relative_absolute_error: 0.4079, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1954, root_relative_squared_error: 0.6514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9264, f_measure: 0.6854, kappa: 0.6528, kb_relative_information_score: 1442.5447, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6846, predictive_accuracy: 0.6875, prior_entropy: 3.3219, recall: 0.6875, relative_absolute_error: 0.3697, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2094, root_relative_squared_error: 0.6979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.6863, kappa: 0.6533, kb_relative_information_score: 1443.2491, mean_absolute_error: 0.0676, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6863, predictive_accuracy: 0.688, prior_entropy: 3.3219, recall: 0.688, relative_absolute_error: 0.3754, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2067, root_relative_squared_error: 0.6891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9416, f_measure: 0.6953, kappa: 0.6622, kb_relative_information_score: 1444.199, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6963, predictive_accuracy: 0.696, prior_entropy: 3.3219, recall: 0.696, relative_absolute_error: 0.3842, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2019, root_relative_squared_error: 0.6731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9147, f_measure: 0.46, kappa: 0.5222, kb_relative_information_score: 1285.2295, mean_absolute_error: 0.0948, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.4151, predictive_accuracy: 0.57, prior_entropy: 3.3219, recall: 0.57, relative_absolute_error: 0.5268, 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: 0.9504, f_measure: 0.6922, kappa: 0.6733, kb_relative_information_score: 1458.9118, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6974, predictive_accuracy: 0.706, prior_entropy: 3.3219, recall: 0.706, relative_absolute_error: 0.3977, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1945, root_relative_squared_error: 0.6482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9467, f_measure: 0.6678, kappa: 0.6356, kb_relative_information_score: 1415.9975, mean_absolute_error: 0.0773, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6757, predictive_accuracy: 0.672, prior_entropy: 3.3219, recall: 0.672, relative_absolute_error: 0.4297, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2004, root_relative_squared_error: 0.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.93, f_measure: 0.5671, kappa: 0.5639, kb_relative_information_score: 1329.2624, mean_absolute_error: 0.0896, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.5704, predictive_accuracy: 0.6075, prior_entropy: 3.3219, recall: 0.6075, relative_absolute_error: 0.4976, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.213, root_relative_squared_error: 0.7101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9485, f_measure: 0.6974, kappa: 0.665, kb_relative_information_score: 1449.9115, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7011, predictive_accuracy: 0.6985, prior_entropy: 3.3219, recall: 0.6985, relative_absolute_error: 0.3947, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1965, root_relative_squared_error: 0.655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9389, f_measure: 0.6021, kappa: 0.6061, kb_relative_information_score: 1379.5972, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.5888, predictive_accuracy: 0.6455, prior_entropy: 3.3219, recall: 0.6455, relative_absolute_error: 0.4644, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.206, root_relative_squared_error: 0.6867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9484, f_measure: 0.7026, kappa: 0.6861, kb_relative_information_score: 1463.5789, mean_absolute_error: 0.0699, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7088, predictive_accuracy: 0.7175, prior_entropy: 3.3219, recall: 0.7175, relative_absolute_error: 0.3886, 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: 0.9494, f_measure: 0.6744, kappa: 0.67, kb_relative_information_score: 1430.4733, mean_absolute_error: 0.0756, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7021, predictive_accuracy: 0.703, prior_entropy: 3.3219, recall: 0.703, relative_absolute_error: 0.4201, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.198, root_relative_squared_error: 0.6598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9373, f_measure: 0.6956, kappa: 0.6644, kb_relative_information_score: 1451.8641, mean_absolute_error: 0.0683, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6965, predictive_accuracy: 0.698, prior_entropy: 3.3219, recall: 0.698, relative_absolute_error: 0.3795, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2014, root_relative_squared_error: 0.6713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9481, f_measure: 0.6664, kappa: 0.67, kb_relative_information_score: 1429.8947, mean_absolute_error: 0.0764, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6585, predictive_accuracy: 0.703, prior_entropy: 3.3219, recall: 0.703, relative_absolute_error: 0.4244, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1977, root_relative_squared_error: 0.6589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9495, f_measure: 0.7049, kappa: 0.6911, kb_relative_information_score: 1460.4238, mean_absolute_error: 0.0709, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7195, predictive_accuracy: 0.722, prior_entropy: 3.3219, recall: 0.722, relative_absolute_error: 0.3937, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1935, root_relative_squared_error: 0.645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9341, f_measure: 0.694, kappa: 0.6622, kb_relative_information_score: 1436.4899, mean_absolute_error: 0.0698, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6955, predictive_accuracy: 0.696, prior_entropy: 3.3219, recall: 0.696, relative_absolute_error: 0.3878, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2042, root_relative_squared_error: 0.6808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9477, f_measure: 0.6633, kappa: 0.6289, kb_relative_information_score: 1420.4866, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6683, predictive_accuracy: 0.666, prior_entropy: 3.3219, recall: 0.666, relative_absolute_error: 0.4272, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1998, root_relative_squared_error: 0.6661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9225, f_measure: 0.6777, kappa: 0.6439, kb_relative_information_score: 1429.7511, mean_absolute_error: 0.0668, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6768, predictive_accuracy: 0.6795, prior_entropy: 3.3219, recall: 0.6795, relative_absolute_error: 0.3712, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2136, root_relative_squared_error: 0.7122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9449, f_measure: 0.6515, kappa: 0.6506, kb_relative_information_score: 1402.1904, mean_absolute_error: 0.0797, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6487, predictive_accuracy: 0.6855, prior_entropy: 3.3219, recall: 0.6855, relative_absolute_error: 0.4428, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2017, root_relative_squared_error: 0.6724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, f_measure: 0.676, kappa: 0.6689, kb_relative_information_score: 1422.7581, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7082, predictive_accuracy: 0.702, prior_entropy: 3.3219, recall: 0.702, relative_absolute_error: 0.4266, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1988, root_relative_squared_error: 0.6626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9488, f_measure: 0.705, kappa: 0.6883, kb_relative_information_score: 1467.2033, mean_absolute_error: 0.0696, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7116, predictive_accuracy: 0.7195, prior_entropy: 3.3219, recall: 0.7195, relative_absolute_error: 0.3864, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1928, root_relative_squared_error: 0.6427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9446, f_measure: 0.6481, kappa: 0.6467, kb_relative_information_score: 1398.9553, mean_absolute_error: 0.0803, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6433, predictive_accuracy: 0.682, prior_entropy: 3.3219, recall: 0.682, relative_absolute_error: 0.4462, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2023, root_relative_squared_error: 0.6743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9412, f_measure: 0.6933, kappa: 0.66, kb_relative_information_score: 1444.3466, mean_absolute_error: 0.0691, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6944, predictive_accuracy: 0.694, prior_entropy: 3.3219, recall: 0.694, relative_absolute_error: 0.384, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2023, root_relative_squared_error: 0.6742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9494, f_measure: 0.687, kappa: 0.6539, kb_relative_information_score: 1428.8088, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6899, predictive_accuracy: 0.6885, prior_entropy: 3.3219, recall: 0.6885, relative_absolute_error: 0.4165, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1994, root_relative_squared_error: 0.6648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9147, f_measure: 0.46, kappa: 0.5222, kb_relative_information_score: 1285.2295, mean_absolute_error: 0.0948, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.4151, predictive_accuracy: 0.57, prior_entropy: 3.3219, recall: 0.57, relative_absolute_error: 0.5268, 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: 0.949, f_measure: 0.6912, kappa: 0.6578, kb_relative_information_score: 1435.6842, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6942, predictive_accuracy: 0.692, prior_entropy: 3.3219, recall: 0.692, relative_absolute_error: 0.4101, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1981, root_relative_squared_error: 0.6604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9389, f_measure: 0.6987, kappa: 0.6678, kb_relative_information_score: 1444.8403, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7001, predictive_accuracy: 0.701, prior_entropy: 3.3219, recall: 0.701, relative_absolute_error: 0.3863, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2015, root_relative_squared_error: 0.6718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9431, f_measure: 0.631, kappa: 0.6306, kb_relative_information_score: 1389.943, mean_absolute_error: 0.0816, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6228, predictive_accuracy: 0.6675, prior_entropy: 3.3219, recall: 0.6675, relative_absolute_error: 0.4532, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.204, root_relative_squared_error: 0.6799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9485, f_measure: 0.6701, kappa: 0.6667, kb_relative_information_score: 1426.2571, mean_absolute_error: 0.0765, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6996, predictive_accuracy: 0.7, prior_entropy: 3.3219, recall: 0.7, relative_absolute_error: 0.4252, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1984, root_relative_squared_error: 0.6614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9449, f_measure: 0.6515, kappa: 0.6506, kb_relative_information_score: 1402.1904, mean_absolute_error: 0.0797, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6487, predictive_accuracy: 0.6855, prior_entropy: 3.3219, recall: 0.6855, relative_absolute_error: 0.4428, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2017, root_relative_squared_error: 0.6724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9147, f_measure: 0.46, kappa: 0.5222, kb_relative_information_score: 1285.2295, mean_absolute_error: 0.0948, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.4151, predictive_accuracy: 0.57, prior_entropy: 3.3219, recall: 0.57, relative_absolute_error: 0.5268, 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: 0.9343, f_measure: 0.6977, kappa: 0.6656, kb_relative_information_score: 1448.4634, mean_absolute_error: 0.068, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6984, predictive_accuracy: 0.699, prior_entropy: 3.3219, recall: 0.699, relative_absolute_error: 0.3778, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2038, root_relative_squared_error: 0.6794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.6762, kappa: 0.6422, kb_relative_information_score: 1429.4779, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6753, predictive_accuracy: 0.678, prior_entropy: 3.3219, recall: 0.678, relative_absolute_error: 0.3702, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2145, root_relative_squared_error: 0.715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9448, f_measure: 0.6516, kappa: 0.6506, kb_relative_information_score: 1402.6837, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6507, predictive_accuracy: 0.6855, prior_entropy: 3.3219, recall: 0.6855, relative_absolute_error: 0.4434, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2017, root_relative_squared_error: 0.6724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9474, f_measure: 0.6613, kappa: 0.6633, kb_relative_information_score: 1418.1996, mean_absolute_error: 0.0776, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6555, predictive_accuracy: 0.697, prior_entropy: 3.3219, recall: 0.697, relative_absolute_error: 0.4313, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1993, root_relative_squared_error: 0.6643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.948, f_measure: 0.6654, kappa: 0.6661, kb_relative_information_score: 1422.8983, mean_absolute_error: 0.0771, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6973, predictive_accuracy: 0.6995, prior_entropy: 3.3219, recall: 0.6995, relative_absolute_error: 0.4282, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1987, root_relative_squared_error: 0.6622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9496, f_measure: 0.6839, kappa: 0.6561, kb_relative_information_score: 1426.7343, mean_absolute_error: 0.0759, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6903, predictive_accuracy: 0.6905, prior_entropy: 3.3219, recall: 0.6905, relative_absolute_error: 0.4215, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1988, root_relative_squared_error: 0.6627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9485, f_measure: 0.6974, kappa: 0.665, kb_relative_information_score: 1449.9115, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7011, predictive_accuracy: 0.6985, prior_entropy: 3.3219, recall: 0.6985, relative_absolute_error: 0.3947, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1965, root_relative_squared_error: 0.655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9249, f_measure: 0.6816, kappa: 0.6483, kb_relative_information_score: 1435.2578, mean_absolute_error: 0.0668, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6808, predictive_accuracy: 0.6835, prior_entropy: 3.3219, recall: 0.6835, relative_absolute_error: 0.3713, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2115, root_relative_squared_error: 0.7051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.947, f_measure: 0.6779, kappa: 0.6483, kb_relative_information_score: 1418.4378, mean_absolute_error: 0.0773, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6884, predictive_accuracy: 0.6835, prior_entropy: 3.3219, recall: 0.6835, relative_absolute_error: 0.4292, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1997, root_relative_squared_error: 0.6657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9485, f_measure: 0.6939, kappa: 0.66, kb_relative_information_score: 1449.5601, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6963, predictive_accuracy: 0.694, prior_entropy: 3.3219, recall: 0.694, relative_absolute_error: 0.3933, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1975, root_relative_squared_error: 0.6584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.949, f_measure: 0.6913, kappa: 0.6578, kb_relative_information_score: 1435.5425, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6943, predictive_accuracy: 0.692, prior_entropy: 3.3219, recall: 0.692, relative_absolute_error: 0.4101, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1982, root_relative_squared_error: 0.6605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9494, f_measure: 0.687, kappa: 0.6539, kb_relative_information_score: 1428.8088, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6899, predictive_accuracy: 0.6885, prior_entropy: 3.3219, recall: 0.6885, relative_absolute_error: 0.4165, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1994, root_relative_squared_error: 0.6648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9477, f_measure: 0.6633, kappa: 0.6289, kb_relative_information_score: 1420.4866, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6683, predictive_accuracy: 0.666, prior_entropy: 3.3219, recall: 0.666, relative_absolute_error: 0.4272, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1998, root_relative_squared_error: 0.6661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9497, f_measure: 0.686, kappa: 0.6539, kb_relative_information_score: 1428.1662, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.689, predictive_accuracy: 0.6885, prior_entropy: 3.3219, recall: 0.6885, relative_absolute_error: 0.4172, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1993, root_relative_squared_error: 0.6642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9147, f_measure: 0.46, kappa: 0.5222, kb_relative_information_score: 1285.2295, mean_absolute_error: 0.0948, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.4151, predictive_accuracy: 0.57, prior_entropy: 3.3219, recall: 0.57, relative_absolute_error: 0.5268, 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: 0.9487, f_measure: 0.6858, kappa: 0.6528, kb_relative_information_score: 1440.0822, mean_absolute_error: 0.0724, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6877, predictive_accuracy: 0.6875, prior_entropy: 3.3219, recall: 0.6875, relative_absolute_error: 0.4021, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1996, root_relative_squared_error: 0.6654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9466, f_measure: 0.6561, kappa: 0.6578, kb_relative_information_score: 1411.4142, mean_absolute_error: 0.0785, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6484, predictive_accuracy: 0.692, prior_entropy: 3.3219, recall: 0.692, relative_absolute_error: 0.4361, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2004, root_relative_squared_error: 0.6681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9501, f_measure: 0.6954, kappa: 0.6839, kb_relative_information_score: 1451.0501, mean_absolute_error: 0.073, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7119, predictive_accuracy: 0.7155, prior_entropy: 3.3219, recall: 0.7155, relative_absolute_error: 0.4054, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1944, root_relative_squared_error: 0.6481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.7069, kappa: 0.6767, kb_relative_information_score: 1461.7222, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7084, predictive_accuracy: 0.709, prior_entropy: 3.3219, recall: 0.709, relative_absolute_error: 0.3722, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2007, root_relative_squared_error: 0.6691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9449, f_measure: 0.6515, kappa: 0.6506, kb_relative_information_score: 1402.1904, mean_absolute_error: 0.0797, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6487, predictive_accuracy: 0.6855, prior_entropy: 3.3219, recall: 0.6855, relative_absolute_error: 0.4428, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2017, root_relative_squared_error: 0.6724,

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

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs