Task
Supervised Classification on jungle_chess_2pcs_raw_endgame_complete

Supervised Classification on jungle_chess_2pcs_raw_endgame_complete

Task 167119 Supervised Classification jungle_chess_2pcs_raw_endgame_complete 6890 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • OpenML-CC18 study_218 study_99
Issue #Downvotes for this reason By


Metric:

6890 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: 0.7496, f_measure: 0.7132, kappa: 0.5088, kb_relative_information_score: 22695.8569, mean_absolute_error: 0.177, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.7217, predictive_accuracy: 0.7345, prior_entropy: 1.3491, recall: 0.7345, relative_absolute_error: 0.4619, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.4207, root_relative_squared_error: 0.9612, usercpu_time_millis: 1.04, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 0.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8233, f_measure: 0.7903, kappa: 0.6351, kb_relative_information_score: 28375.3883, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.7905, predictive_accuracy: 0.79, prior_entropy: 1.3491, recall: 0.79, relative_absolute_error: 0.3653, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.3741, root_relative_squared_error: 0.8547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9484, f_measure: 0.8148, kappa: 0.678, kb_relative_information_score: 24099.4592, mean_absolute_error: 0.208, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8209, predictive_accuracy: 0.8207, prior_entropy: 1.3491, recall: 0.8207, relative_absolute_error: 0.5427, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2902, root_relative_squared_error: 0.663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9477, f_measure: 0.8121, kappa: 0.6728, kb_relative_information_score: 24556.7017, mean_absolute_error: 0.2033, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8167, predictive_accuracy: 0.8173, prior_entropy: 1.3491, recall: 0.8173, relative_absolute_error: 0.5306, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2884, root_relative_squared_error: 0.6589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.961, f_measure: 0.8277, kappa: 0.701, kb_relative_information_score: 29622.2365, mean_absolute_error: 0.1519, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8283, predictive_accuracy: 0.8311, prior_entropy: 1.3491, recall: 0.8311, relative_absolute_error: 0.3965, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.26, root_relative_squared_error: 0.5939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, f_measure: 0.8073, kappa: 0.6645, kb_relative_information_score: 25850.8642, mean_absolute_error: 0.1908, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8085, predictive_accuracy: 0.8114, prior_entropy: 1.3491, recall: 0.8114, relative_absolute_error: 0.4979, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2821, root_relative_squared_error: 0.6444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9581, f_measure: 0.818, kappa: 0.6837, kb_relative_information_score: 28352.1518, mean_absolute_error: 0.1657, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8182, predictive_accuracy: 0.8212, prior_entropy: 1.3491, recall: 0.8212, relative_absolute_error: 0.4323, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2664, root_relative_squared_error: 0.6086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9606, f_measure: 0.813, kappa: 0.6751, kb_relative_information_score: 30299.2536, mean_absolute_error: 0.1433, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8121, predictive_accuracy: 0.8151, prior_entropy: 1.3491, recall: 0.8151, relative_absolute_error: 0.3739, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.259, root_relative_squared_error: 0.5917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9595, f_measure: 0.8069, kappa: 0.6643, kb_relative_information_score: 31080.5321, mean_absolute_error: 0.1313, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.806, predictive_accuracy: 0.8081, prior_entropy: 1.3491, recall: 0.8081, relative_absolute_error: 0.3426, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2626, root_relative_squared_error: 0.5999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9561, f_measure: 0.8222, kappa: 0.6914, kb_relative_information_score: 27389.7829, mean_absolute_error: 0.1752, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8243, predictive_accuracy: 0.8265, prior_entropy: 1.3491, recall: 0.8265, relative_absolute_error: 0.4572, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2713, root_relative_squared_error: 0.6199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9492, f_measure: 0.8092, kappa: 0.6678, kb_relative_information_score: 25624.208, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8114, predictive_accuracy: 0.8137, prior_entropy: 1.3491, recall: 0.8137, relative_absolute_error: 0.5027, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2828, root_relative_squared_error: 0.6461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.943, f_measure: 0.7891, kappa: 0.6329, kb_relative_information_score: 26812.705, mean_absolute_error: 0.1773, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.7883, predictive_accuracy: 0.7919, prior_entropy: 1.3491, recall: 0.7919, relative_absolute_error: 0.4628, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2845, root_relative_squared_error: 0.6499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9516, f_measure: 0.8104, kappa: 0.6701, kb_relative_information_score: 26386.2253, mean_absolute_error: 0.1854, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8111, predictive_accuracy: 0.8141, prior_entropy: 1.3491, recall: 0.8141, relative_absolute_error: 0.4839, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2784, root_relative_squared_error: 0.636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9469, f_measure: 0.8129, kappa: 0.675, kb_relative_information_score: 23664.5766, mean_absolute_error: 0.212, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8202, predictive_accuracy: 0.8194, prior_entropy: 1.3491, recall: 0.8194, relative_absolute_error: 0.5532, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.293, root_relative_squared_error: 0.6695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9481, f_measure: 0.8116, kappa: 0.6721, kb_relative_information_score: 24770.5419, mean_absolute_error: 0.2012, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8156, predictive_accuracy: 0.8168, prior_entropy: 1.3491, recall: 0.8168, relative_absolute_error: 0.5252, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2872, root_relative_squared_error: 0.6562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.961, f_measure: 0.8277, kappa: 0.701, kb_relative_information_score: 29622.2365, mean_absolute_error: 0.1519, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8283, predictive_accuracy: 0.8311, prior_entropy: 1.3491, recall: 0.8311, relative_absolute_error: 0.3965, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.26, root_relative_squared_error: 0.5939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9514, f_measure: 0.815, kappa: 0.6781, kb_relative_information_score: 25652.6454, mean_absolute_error: 0.1927, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8175, predictive_accuracy: 0.8195, prior_entropy: 1.3491, recall: 0.8195, relative_absolute_error: 0.503, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2814, root_relative_squared_error: 0.6429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9475, f_measure: 0.8145, kappa: 0.6774, kb_relative_information_score: 23852.6462, mean_absolute_error: 0.2109, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8205, predictive_accuracy: 0.8203, prior_entropy: 1.3491, recall: 0.8203, relative_absolute_error: 0.5503, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2921, root_relative_squared_error: 0.6673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.953, f_measure: 0.8211, kappa: 0.6893, kb_relative_information_score: 26599.242, mean_absolute_error: 0.1838, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.824, predictive_accuracy: 0.8256, prior_entropy: 1.3491, recall: 0.8256, relative_absolute_error: 0.4797, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2768, root_relative_squared_error: 0.6323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9424, f_measure: 0.7872, kappa: 0.6296, kb_relative_information_score: 26900.09, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.7863, predictive_accuracy: 0.7899, prior_entropy: 1.3491, recall: 0.7899, relative_absolute_error: 0.4593, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2851, root_relative_squared_error: 0.6513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9606, f_measure: 0.813, kappa: 0.6751, kb_relative_information_score: 30299.2536, mean_absolute_error: 0.1433, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8121, predictive_accuracy: 0.8151, prior_entropy: 1.3491, recall: 0.8151, relative_absolute_error: 0.3739, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.259, root_relative_squared_error: 0.5917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9463, f_measure: 0.7968, kappa: 0.6461, kb_relative_information_score: 26553.9349, mean_absolute_error: 0.1816, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.7966, predictive_accuracy: 0.8001, prior_entropy: 1.3491, recall: 0.8001, relative_absolute_error: 0.4739, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2817, root_relative_squared_error: 0.6435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9598, f_measure: 0.8239, kappa: 0.6943, kb_relative_information_score: 28885.8076, mean_absolute_error: 0.1592, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.825, predictive_accuracy: 0.8277, prior_entropy: 1.3491, recall: 0.8277, relative_absolute_error: 0.4155, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2633, root_relative_squared_error: 0.6016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9488, f_measure: 0.803, kappa: 0.6569, kb_relative_information_score: 26336.919, mean_absolute_error: 0.1848, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8036, predictive_accuracy: 0.8068, prior_entropy: 1.3491, recall: 0.8068, relative_absolute_error: 0.4824, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2803, root_relative_squared_error: 0.6404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9478, f_measure: 0.7978, kappa: 0.6479, kb_relative_information_score: 26785.1831, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.7975, predictive_accuracy: 0.801, prior_entropy: 1.3491, recall: 0.801, relative_absolute_error: 0.4697, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2798, root_relative_squared_error: 0.6393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9629, f_measure: 0.8172, kappa: 0.6823, kb_relative_information_score: 30561.9458, mean_absolute_error: 0.1408, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8163, predictive_accuracy: 0.819, prior_entropy: 1.3491, recall: 0.819, relative_absolute_error: 0.3673, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.256, root_relative_squared_error: 0.5848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.8131, kappa: 0.6752, kb_relative_information_score: 31286.5992, mean_absolute_error: 0.1305, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8122, predictive_accuracy: 0.8147, prior_entropy: 1.3491, recall: 0.8147, relative_absolute_error: 0.3406, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2581, root_relative_squared_error: 0.5897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9601, f_measure: 0.8099, kappa: 0.6695, kb_relative_information_score: 31282.3437, mean_absolute_error: 0.1288, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.809, predictive_accuracy: 0.8111, prior_entropy: 1.3491, recall: 0.8111, relative_absolute_error: 0.3361, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2609, root_relative_squared_error: 0.596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9491, f_measure: 0.8048, kappa: 0.66, kb_relative_information_score: 26198.9536, mean_absolute_error: 0.187, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8055, predictive_accuracy: 0.8086, prior_entropy: 1.3491, recall: 0.8086, relative_absolute_error: 0.488, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2808, root_relative_squared_error: 0.6416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9553, f_measure: 0.8135, kappa: 0.6758, kb_relative_information_score: 28047.0088, mean_absolute_error: 0.1685, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8139, predictive_accuracy: 0.8169, prior_entropy: 1.3491, recall: 0.8169, relative_absolute_error: 0.4397, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2697, root_relative_squared_error: 0.6162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9615, f_measure: 0.8105, kappa: 0.6707, kb_relative_information_score: 31275.4741, mean_absolute_error: 0.1304, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8096, predictive_accuracy: 0.8119, prior_entropy: 1.3491, recall: 0.8119, relative_absolute_error: 0.3404, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2582, root_relative_squared_error: 0.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9553, f_measure: 0.8048, kappa: 0.6606, kb_relative_information_score: 28803.5048, mean_absolute_error: 0.1583, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8039, predictive_accuracy: 0.8073, prior_entropy: 1.3491, recall: 0.8073, relative_absolute_error: 0.4131, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2683, root_relative_squared_error: 0.6129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9583, f_measure: 0.8174, kappa: 0.6826, kb_relative_information_score: 28484.7118, mean_absolute_error: 0.1642, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8174, predictive_accuracy: 0.8204, prior_entropy: 1.3491, recall: 0.8204, relative_absolute_error: 0.4286, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2657, root_relative_squared_error: 0.607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9569, f_measure: 0.823, kappa: 0.6928, kb_relative_information_score: 28267.9725, mean_absolute_error: 0.1664, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8247, predictive_accuracy: 0.827, prior_entropy: 1.3491, recall: 0.827, relative_absolute_error: 0.4343, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.268, root_relative_squared_error: 0.6123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.811, kappa: 0.6715, kb_relative_information_score: 31229.7436, mean_absolute_error: 0.1299, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.81, predictive_accuracy: 0.8125, prior_entropy: 1.3491, recall: 0.8125, relative_absolute_error: 0.339, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2594, root_relative_squared_error: 0.5926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9612, f_measure: 0.8278, kappa: 0.7011, kb_relative_information_score: 29983.9749, mean_absolute_error: 0.1475, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8282, predictive_accuracy: 0.831, prior_entropy: 1.3491, recall: 0.831, relative_absolute_error: 0.3849, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2588, root_relative_squared_error: 0.5913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9477, f_measure: 0.8122, kappa: 0.673, kb_relative_information_score: 24596.2371, mean_absolute_error: 0.2035, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8159, predictive_accuracy: 0.8172, prior_entropy: 1.3491, recall: 0.8172, relative_absolute_error: 0.5311, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2885, root_relative_squared_error: 0.6591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9601, f_measure: 0.8246, kappa: 0.6953, kb_relative_information_score: 29069.4696, mean_absolute_error: 0.1583, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8253, predictive_accuracy: 0.8279, prior_entropy: 1.3491, recall: 0.8279, relative_absolute_error: 0.413, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2624, root_relative_squared_error: 0.5994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, f_measure: 0.8065, kappa: 0.663, kb_relative_information_score: 26029.6099, mean_absolute_error: 0.1889, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8074, predictive_accuracy: 0.8104, prior_entropy: 1.3491, recall: 0.8104, relative_absolute_error: 0.4929, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2813, root_relative_squared_error: 0.6427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9492, f_measure: 0.8103, kappa: 0.6696, kb_relative_information_score: 25533.7076, mean_absolute_error: 0.1942, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8121, predictive_accuracy: 0.8145, prior_entropy: 1.3491, recall: 0.8145, relative_absolute_error: 0.5067, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2834, root_relative_squared_error: 0.6476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9484, f_measure: 0.8148, kappa: 0.678, kb_relative_information_score: 24099.4592, mean_absolute_error: 0.208, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8209, predictive_accuracy: 0.8207, prior_entropy: 1.3491, recall: 0.8207, relative_absolute_error: 0.5427, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2902, root_relative_squared_error: 0.663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9519, f_measure: 0.8137, kappa: 0.6757, kb_relative_information_score: 25994.2721, mean_absolute_error: 0.1897, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.815, predictive_accuracy: 0.8176, prior_entropy: 1.3491, recall: 0.8176, relative_absolute_error: 0.4952, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2798, root_relative_squared_error: 0.6393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9491, f_measure: 0.7943, kappa: 0.6423, kb_relative_information_score: 28859.903, mean_absolute_error: 0.154, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.7934, predictive_accuracy: 0.7955, prior_entropy: 1.3491, recall: 0.7955, relative_absolute_error: 0.4018, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2808, root_relative_squared_error: 0.6415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9475, f_measure: 0.8145, kappa: 0.6774, kb_relative_information_score: 23852.6462, mean_absolute_error: 0.2109, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8205, predictive_accuracy: 0.8203, prior_entropy: 1.3491, recall: 0.8203, relative_absolute_error: 0.5503, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2921, root_relative_squared_error: 0.6673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9598, f_measure: 0.8239, kappa: 0.6943, kb_relative_information_score: 28885.8076, mean_absolute_error: 0.1592, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.825, predictive_accuracy: 0.8277, prior_entropy: 1.3491, recall: 0.8277, relative_absolute_error: 0.4155, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2633, root_relative_squared_error: 0.6016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9496, f_measure: 0.8162, kappa: 0.6804, kb_relative_information_score: 24583.1031, mean_absolute_error: 0.2034, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8212, predictive_accuracy: 0.8217, prior_entropy: 1.3491, recall: 0.8217, relative_absolute_error: 0.5307, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2873, root_relative_squared_error: 0.6565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9587, f_measure: 0.8243, kappa: 0.6952, kb_relative_information_score: 29015.0888, mean_absolute_error: 0.1569, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8255, predictive_accuracy: 0.8282, prior_entropy: 1.3491, recall: 0.8282, relative_absolute_error: 0.4094, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2641, root_relative_squared_error: 0.6035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9489, f_measure: 0.8029, kappa: 0.6567, kb_relative_information_score: 26394.7722, mean_absolute_error: 0.1848, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8032, predictive_accuracy: 0.8065, prior_entropy: 1.3491, recall: 0.8065, relative_absolute_error: 0.4822, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2802, root_relative_squared_error: 0.6402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.959, f_measure: 0.8259, kappa: 0.6979, kb_relative_information_score: 29165.3768, mean_absolute_error: 0.1566, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8269, predictive_accuracy: 0.8295, prior_entropy: 1.3491, recall: 0.8295, relative_absolute_error: 0.4086, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2633, root_relative_squared_error: 0.6016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9613, f_measure: 0.8228, kappa: 0.6923, kb_relative_information_score: 30389.7342, mean_absolute_error: 0.1426, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8226, predictive_accuracy: 0.8256, prior_entropy: 1.3491, recall: 0.8256, relative_absolute_error: 0.3722, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2577, root_relative_squared_error: 0.5888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9496, f_measure: 0.8172, kappa: 0.6819, kb_relative_information_score: 24632.1321, mean_absolute_error: 0.2034, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8213, predictive_accuracy: 0.8222, prior_entropy: 1.3491, recall: 0.8222, relative_absolute_error: 0.5309, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2873, root_relative_squared_error: 0.6564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.8224, kappa: 0.6917, kb_relative_information_score: 26946.3322, mean_absolute_error: 0.1804, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8249, predictive_accuracy: 0.8267, prior_entropy: 1.3491, recall: 0.8267, relative_absolute_error: 0.4708, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2745, root_relative_squared_error: 0.6271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9455, f_measure: 0.7922, kappa: 0.638, kb_relative_information_score: 26895.0665, mean_absolute_error: 0.178, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.7915, predictive_accuracy: 0.795, prior_entropy: 1.3491, recall: 0.795, relative_absolute_error: 0.4646, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2815, root_relative_squared_error: 0.6432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9511, f_measure: 0.8153, kappa: 0.6787, kb_relative_information_score: 25420.7929, mean_absolute_error: 0.1951, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8185, predictive_accuracy: 0.8201, prior_entropy: 1.3491, recall: 0.8201, relative_absolute_error: 0.5092, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2826, root_relative_squared_error: 0.6456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9555, f_measure: 0.8136, kappa: 0.6759, kb_relative_information_score: 28186.8557, mean_absolute_error: 0.1669, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8138, predictive_accuracy: 0.8168, prior_entropy: 1.3491, recall: 0.8168, relative_absolute_error: 0.4356, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2692, root_relative_squared_error: 0.6149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8014, f_measure: 0.7603, kappa: 0.604, kb_relative_information_score: 25987.7311, mean_absolute_error: 0.1443, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.763, predictive_accuracy: 0.7836, prior_entropy: 1.3491, recall: 0.7836, relative_absolute_error: 0.3765, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.3798, root_relative_squared_error: 0.8677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9586, f_measure: 0.8155, kappa: 0.6794, kb_relative_information_score: 28530.6692, mean_absolute_error: 0.163, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8154, predictive_accuracy: 0.8186, prior_entropy: 1.3491, recall: 0.8186, relative_absolute_error: 0.4253, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2653, root_relative_squared_error: 0.6061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9484, f_measure: 0.8153, kappa: 0.6788, kb_relative_information_score: 24133.9003, mean_absolute_error: 0.2082, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8205, predictive_accuracy: 0.8208, prior_entropy: 1.3491, recall: 0.8208, relative_absolute_error: 0.5434, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2903, root_relative_squared_error: 0.6633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9602, f_measure: 0.8212, kappa: 0.6894, kb_relative_information_score: 30180.5986, mean_absolute_error: 0.1448, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.821, predictive_accuracy: 0.8241, prior_entropy: 1.3491, recall: 0.8241, relative_absolute_error: 0.3778, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2594, root_relative_squared_error: 0.5926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, f_measure: 0.8181, kappa: 0.684, kb_relative_information_score: 29621.6717, mean_absolute_error: 0.1499, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8181, predictive_accuracy: 0.8212, prior_entropy: 1.3491, recall: 0.8212, relative_absolute_error: 0.3912, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.263, root_relative_squared_error: 0.6008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9649, f_measure: 0.8172, kappa: 0.6823, kb_relative_information_score: 31763.0968, mean_absolute_error: 0.1261, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8163, predictive_accuracy: 0.8186, prior_entropy: 1.3491, recall: 0.8186, relative_absolute_error: 0.3291, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2521, root_relative_squared_error: 0.5761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9477, f_measure: 0.8122, kappa: 0.673, kb_relative_information_score: 24596.2371, mean_absolute_error: 0.2035, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8159, predictive_accuracy: 0.8172, prior_entropy: 1.3491, recall: 0.8172, relative_absolute_error: 0.5311, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2885, root_relative_squared_error: 0.6591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9592, f_measure: 0.8243, kappa: 0.6948, kb_relative_information_score: 28826.4692, mean_absolute_error: 0.1608, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8255, predictive_accuracy: 0.8279, prior_entropy: 1.3491, recall: 0.8279, relative_absolute_error: 0.4196, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.264, root_relative_squared_error: 0.6031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7351, kappa: 0.4748, kb_relative_information_score: 20997.9838, mean_absolute_error: 0.1874, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, predictive_accuracy: 0.7189, prior_entropy: 1.3491, recall: 0.7189, relative_absolute_error: 0.4891, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.4329, root_relative_squared_error: 0.9891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9504, f_measure: 0.8165, kappa: 0.6809, kb_relative_information_score: 24964.0036, mean_absolute_error: 0.1997, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8206, predictive_accuracy: 0.8216, prior_entropy: 1.3491, recall: 0.8216, relative_absolute_error: 0.5211, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2851, root_relative_squared_error: 0.6514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9602, f_measure: 0.8259, kappa: 0.698, kb_relative_information_score: 29365.0093, mean_absolute_error: 0.1534, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8267, predictive_accuracy: 0.8296, prior_entropy: 1.3491, recall: 0.8296, relative_absolute_error: 0.4003, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2616, root_relative_squared_error: 0.5976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9585, f_measure: 0.8122, kappa: 0.6734, kb_relative_information_score: 28865.2224, mean_absolute_error: 0.1589, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8116, predictive_accuracy: 0.8148, prior_entropy: 1.3491, recall: 0.8148, relative_absolute_error: 0.4147, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2646, root_relative_squared_error: 0.6046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9507, f_measure: 0.8163, kappa: 0.6804, kb_relative_information_score: 25171.7871, mean_absolute_error: 0.1976, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8199, predictive_accuracy: 0.8212, prior_entropy: 1.3491, recall: 0.8212, relative_absolute_error: 0.5156, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.284, root_relative_squared_error: 0.6488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9611, f_measure: 0.8118, kappa: 0.673, kb_relative_information_score: 30547.2863, mean_absolute_error: 0.1391, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8109, predictive_accuracy: 0.8134, prior_entropy: 1.3491, recall: 0.8134, relative_absolute_error: 0.3629, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2594, root_relative_squared_error: 0.5926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9653, f_measure: 0.8224, kappa: 0.6914, kb_relative_information_score: 31442.8418, mean_absolute_error: 0.1311, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8215, predictive_accuracy: 0.8242, prior_entropy: 1.3491, recall: 0.8242, relative_absolute_error: 0.342, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2503, root_relative_squared_error: 0.5719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9611, f_measure: 0.8165, kappa: 0.6812, kb_relative_information_score: 30017.7967, mean_absolute_error: 0.1464, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8158, predictive_accuracy: 0.819, prior_entropy: 1.3491, recall: 0.819, relative_absolute_error: 0.382, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2588, root_relative_squared_error: 0.5913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9491, f_measure: 0.8111, kappa: 0.671, kb_relative_information_score: 25395.3144, mean_absolute_error: 0.1956, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8131, predictive_accuracy: 0.8154, prior_entropy: 1.3491, recall: 0.8154, relative_absolute_error: 0.5104, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2841, root_relative_squared_error: 0.6492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9623, f_measure: 0.8122, kappa: 0.6734, kb_relative_information_score: 31470.7633, mean_absolute_error: 0.1258, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8116, predictive_accuracy: 0.8128, prior_entropy: 1.3491, recall: 0.8128, relative_absolute_error: 0.3284, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2641, root_relative_squared_error: 0.6033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9485, f_measure: 0.8115, kappa: 0.6718, kb_relative_information_score: 25085.2998, mean_absolute_error: 0.1987, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8143, predictive_accuracy: 0.8161, prior_entropy: 1.3491, recall: 0.8161, relative_absolute_error: 0.5185, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2858, root_relative_squared_error: 0.6529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9613, f_measure: 0.8118, kappa: 0.6729, kb_relative_information_score: 30617.9371, mean_absolute_error: 0.1384, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8109, predictive_accuracy: 0.8132, prior_entropy: 1.3491, recall: 0.8132, relative_absolute_error: 0.3612, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2601, root_relative_squared_error: 0.5942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, f_measure: 0.8164, kappa: 0.6807, kb_relative_information_score: 24764.6738, mean_absolute_error: 0.2016, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8207, predictive_accuracy: 0.8216, prior_entropy: 1.3491, recall: 0.8216, relative_absolute_error: 0.5261, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2863, root_relative_squared_error: 0.654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9607, f_measure: 0.8243, kappa: 0.695, kb_relative_information_score: 29171.5941, mean_absolute_error: 0.1563, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8249, predictive_accuracy: 0.8278, prior_entropy: 1.3491, recall: 0.8278, relative_absolute_error: 0.4079, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2614, root_relative_squared_error: 0.5973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9442, f_measure: 0.7901, kappa: 0.6344, kb_relative_information_score: 27091.7102, mean_absolute_error: 0.1745, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.7892, predictive_accuracy: 0.7927, prior_entropy: 1.3491, recall: 0.7927, relative_absolute_error: 0.4555, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2826, root_relative_squared_error: 0.6456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9584, f_measure: 0.8243, kappa: 0.6949, kb_relative_information_score: 28603.2213, mean_absolute_error: 0.163, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8256, predictive_accuracy: 0.828, prior_entropy: 1.3491, recall: 0.828, relative_absolute_error: 0.4255, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2656, root_relative_squared_error: 0.6067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9478, f_measure: 0.7978, kappa: 0.6479, kb_relative_information_score: 26785.1831, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.7975, predictive_accuracy: 0.801, prior_entropy: 1.3491, recall: 0.801, relative_absolute_error: 0.4697, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2798, root_relative_squared_error: 0.6393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9484, f_measure: 0.7997, kappa: 0.6515, kb_relative_information_score: 27104.1445, mean_absolute_error: 0.1758, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.7993, predictive_accuracy: 0.8028, prior_entropy: 1.3491, recall: 0.8028, relative_absolute_error: 0.4588, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2787, root_relative_squared_error: 0.6367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9477, f_measure: 0.8121, kappa: 0.6728, kb_relative_information_score: 24556.7017, mean_absolute_error: 0.2033, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8167, predictive_accuracy: 0.8173, prior_entropy: 1.3491, recall: 0.8173, relative_absolute_error: 0.5306, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2884, root_relative_squared_error: 0.6589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.96, f_measure: 0.8108, kappa: 0.6712, kb_relative_information_score: 31301.7292, mean_absolute_error: 0.1298, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8098, predictive_accuracy: 0.8124, prior_entropy: 1.3491, recall: 0.8124, relative_absolute_error: 0.3389, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2592, root_relative_squared_error: 0.5923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9589, f_measure: 0.819, kappa: 0.6855, kb_relative_information_score: 29356.84, mean_absolute_error: 0.1545, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8193, predictive_accuracy: 0.8221, prior_entropy: 1.3491, recall: 0.8221, relative_absolute_error: 0.4032, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2627, root_relative_squared_error: 0.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, f_measure: 0.8092, kappa: 0.6676, kb_relative_information_score: 25676.5882, mean_absolute_error: 0.1927, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8108, predictive_accuracy: 0.8134, prior_entropy: 1.3491, recall: 0.8134, relative_absolute_error: 0.5028, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2828, root_relative_squared_error: 0.6461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9575, f_measure: 0.7995, kappa: 0.6512, kb_relative_information_score: 31267.9799, mean_absolute_error: 0.1248, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.7992, predictive_accuracy: 0.7998, prior_entropy: 1.3491, recall: 0.7998, relative_absolute_error: 0.3258, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2756, root_relative_squared_error: 0.6295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9652, f_measure: 0.8232, kappa: 0.693, kb_relative_information_score: 31066.9671, mean_absolute_error: 0.1358, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8224, predictive_accuracy: 0.8253, prior_entropy: 1.3491, recall: 0.8253, relative_absolute_error: 0.3544, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2513, root_relative_squared_error: 0.5742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9629, f_measure: 0.8172, kappa: 0.6823, kb_relative_information_score: 30561.9458, mean_absolute_error: 0.1408, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8163, predictive_accuracy: 0.819, prior_entropy: 1.3491, recall: 0.819, relative_absolute_error: 0.3673, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.256, root_relative_squared_error: 0.5848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9574, f_measure: 0.8234, kappa: 0.6935, kb_relative_information_score: 28381.2068, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8249, predictive_accuracy: 0.8273, prior_entropy: 1.3491, recall: 0.8273, relative_absolute_error: 0.4313, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2672, root_relative_squared_error: 0.6105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9471, f_measure: 0.7972, kappa: 0.6471, kb_relative_information_score: 27074.57, mean_absolute_error: 0.1756, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.7964, predictive_accuracy: 0.8, prior_entropy: 1.3491, recall: 0.8, relative_absolute_error: 0.4581, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2803, root_relative_squared_error: 0.6404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9496, f_measure: 0.8162, kappa: 0.6804, kb_relative_information_score: 24583.1031, mean_absolute_error: 0.2034, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8212, predictive_accuracy: 0.8217, prior_entropy: 1.3491, recall: 0.8217, relative_absolute_error: 0.5307, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2873, root_relative_squared_error: 0.6565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9604, f_measure: 0.8182, kappa: 0.6841, kb_relative_information_score: 30925.3953, mean_absolute_error: 0.1352, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8175, predictive_accuracy: 0.8205, prior_entropy: 1.3491, recall: 0.8205, relative_absolute_error: 0.353, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2583, root_relative_squared_error: 0.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9623, f_measure: 0.8185, kappa: 0.6848, kb_relative_information_score: 30881.3893, mean_absolute_error: 0.1369, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8177, predictive_accuracy: 0.8208, prior_entropy: 1.3491, recall: 0.8208, relative_absolute_error: 0.3572, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2555, root_relative_squared_error: 0.5837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7365, kappa: 0.4777, kb_relative_information_score: 21099.824, mean_absolute_error: 0.1864, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, predictive_accuracy: 0.7204, prior_entropy: 1.3491, recall: 0.7204, relative_absolute_error: 0.4865, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.4318, root_relative_squared_error: 0.9864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9627, f_measure: 0.8193, kappa: 0.6861, kb_relative_information_score: 30706.558, mean_absolute_error: 0.1384, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8186, predictive_accuracy: 0.8217, prior_entropy: 1.3491, recall: 0.8217, relative_absolute_error: 0.3612, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2554, root_relative_squared_error: 0.5836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9583, f_measure: 0.8202, kappa: 0.6876, kb_relative_information_score: 29706.6723, mean_absolute_error: 0.1499, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8204, predictive_accuracy: 0.8233, prior_entropy: 1.3491, recall: 0.8233, relative_absolute_error: 0.3913, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2626, root_relative_squared_error: 0.5999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9646, f_measure: 0.8171, kappa: 0.6822, kb_relative_information_score: 31612.7211, mean_absolute_error: 0.1267, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8162, predictive_accuracy: 0.8184, prior_entropy: 1.3491, recall: 0.8184, relative_absolute_error: 0.3307, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2541, root_relative_squared_error: 0.5804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9601, f_measure: 0.828, kappa: 0.7015, kb_relative_information_score: 29400.1572, mean_absolute_error: 0.1542, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8288, predictive_accuracy: 0.8315, prior_entropy: 1.3491, recall: 0.8315, relative_absolute_error: 0.4024, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2616, root_relative_squared_error: 0.5975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9511, f_measure: 0.8141, kappa: 0.6767, kb_relative_information_score: 25709.9005, mean_absolute_error: 0.1921, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8162, predictive_accuracy: 0.8186, prior_entropy: 1.3491, recall: 0.8186, relative_absolute_error: 0.5012, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2813, root_relative_squared_error: 0.6426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9404, f_measure: 0.7828, kappa: 0.6219, kb_relative_information_score: 27141.4472, mean_absolute_error: 0.1721, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.7817, predictive_accuracy: 0.7851, prior_entropy: 1.3491, recall: 0.7851, relative_absolute_error: 0.4492, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2873, root_relative_squared_error: 0.6564,

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