Task
Supervised Classification on qsar-biodeg

Supervised Classification on qsar-biodeg

Task 9957 Supervised Classification qsar-biodeg 149823 runs submitted
0 likes downloaded by 2 people , 2 total downloads 0 issues
Visibility: Public
  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_7 study_98 study_99
Issue #Downvotes for this reason By


Metric:

149823 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: 0.8517, f_measure: 0.8713, kappa: 0.7108, kb_relative_information_score: 0.7003, mean_absolute_error: 0.128, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.871, predictive_accuracy: 0.872, prior_entropy: 0.9223, recall: 0.872, relative_absolute_error: 0.2861, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3577, root_relative_squared_error: 0.7565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.856, f_measure: 0.8752, kappa: 0.7194, kb_relative_information_score: 0.7091, mean_absolute_error: 0.1242, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8749, predictive_accuracy: 0.8758, prior_entropy: 0.9223, recall: 0.8758, relative_absolute_error: 0.2776, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3524, root_relative_squared_error: 0.7452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8266, f_measure: 0.8375, kappa: 0.6405, kb_relative_information_score: 0.6159, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8403, predictive_accuracy: 0.836, prior_entropy: 0.9223, recall: 0.836, relative_absolute_error: 0.3666, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4049, root_relative_squared_error: 0.8564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6767, f_measure: 0.7426, kappa: 0.411, kb_relative_information_score: 0.4693, mean_absolute_error: 0.2265, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.798, predictive_accuracy: 0.7735, prior_entropy: 0.9223, recall: 0.7735, relative_absolute_error: 0.5065, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.309, f_measure: 0.3823, kappa: -0.3829, kb_relative_information_score: -0.4454, mean_absolute_error: 0.6171, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.3817, predictive_accuracy: 0.3829, prior_entropy: 0.9223, recall: 0.3829, relative_absolute_error: 1.3797, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.7855, root_relative_squared_error: 1.6613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7962, f_measure: 0.8087, kappa: 0.578, kb_relative_information_score: 0.5471, mean_absolute_error: 0.1934, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8128, predictive_accuracy: 0.8066, prior_entropy: 0.9223, recall: 0.8066, relative_absolute_error: 0.4323, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4397, root_relative_squared_error: 0.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2807, f_measure: 0.3566, kappa: -0.4384, kb_relative_information_score: -0.5076, mean_absolute_error: 0.6436, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.3568, predictive_accuracy: 0.3564, prior_entropy: 0.9223, recall: 0.3564, relative_absolute_error: 1.439, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.8022, root_relative_squared_error: 1.6967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8518, f_measure: 0.8721, kappa: 0.7124, kb_relative_information_score: 0.7025, mean_absolute_error: 0.127, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8719, predictive_accuracy: 0.873, prior_entropy: 0.9223, recall: 0.873, relative_absolute_error: 0.284, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3564, root_relative_squared_error: 0.7537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8567, f_measure: 0.8769, kappa: 0.7229, kb_relative_information_score: 0.7136, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8766, predictive_accuracy: 0.8777, prior_entropy: 0.9223, recall: 0.8777, relative_absolute_error: 0.2734, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3497, root_relative_squared_error: 0.7395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7111, f_measure: 0.7453, kappa: 0.4273, kb_relative_information_score: 0.4072, mean_absolute_error: 0.2531, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7442, predictive_accuracy: 0.7469, prior_entropy: 0.9223, recall: 0.7469, relative_absolute_error: 0.5659, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.5031, root_relative_squared_error: 1.0639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.856, f_measure: 0.8768, kappa: 0.7225, kb_relative_information_score: 0.7136, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8766, predictive_accuracy: 0.8777, prior_entropy: 0.9223, recall: 0.8777, relative_absolute_error: 0.2734, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3497, root_relative_squared_error: 0.7395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2096, mean_absolute_error: 0.3374, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9223, recall: 0.6626, relative_absolute_error: 0.7545, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.5809, root_relative_squared_error: 1.2285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.775, f_measure: 0.809, kappa: 0.5672, kb_relative_information_score: 0.5604, mean_absolute_error: 0.1877, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8088, predictive_accuracy: 0.8123, prior_entropy: 0.9223, recall: 0.8123, relative_absolute_error: 0.4196, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4332, root_relative_squared_error: 0.9162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8511, f_measure: 0.8728, kappa: 0.7135, kb_relative_information_score: 0.7047, mean_absolute_error: 0.1261, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8727, predictive_accuracy: 0.8739, prior_entropy: 0.9223, recall: 0.8739, relative_absolute_error: 0.2819, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3551, root_relative_squared_error: 0.7509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8248, f_measure: 0.8451, kappa: 0.6528, kb_relative_information_score: 0.6381, mean_absolute_error: 0.1545, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8448, predictive_accuracy: 0.8455, prior_entropy: 0.9223, recall: 0.8455, relative_absolute_error: 0.3455, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3931, root_relative_squared_error: 0.8313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8186, f_measure: 0.8448, kappa: 0.6498, kb_relative_information_score: 0.6403, mean_absolute_error: 0.1536, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8445, predictive_accuracy: 0.8464, prior_entropy: 0.9223, recall: 0.8464, relative_absolute_error: 0.3433, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3919, root_relative_squared_error: 0.8287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8551, f_measure: 0.8702, kappa: 0.7098, kb_relative_information_score: 0.6958, mean_absolute_error: 0.1299, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8702, predictive_accuracy: 0.8701, prior_entropy: 0.9223, recall: 0.8701, relative_absolute_error: 0.2903, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.7621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7934, f_measure: 0.8284, kappa: 0.61, kb_relative_information_score: 0.607, mean_absolute_error: 0.1678, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8297, predictive_accuracy: 0.8322, prior_entropy: 0.9223, recall: 0.8322, relative_absolute_error: 0.3751, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4096, root_relative_squared_error: 0.8663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6724, f_measure: 0.7377, kappa: 0.3991, kb_relative_information_score: 0.456, mean_absolute_error: 0.2322, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7856, predictive_accuracy: 0.7678, prior_entropy: 0.9223, recall: 0.7678, relative_absolute_error: 0.5192, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4819, root_relative_squared_error: 1.0192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8546, f_measure: 0.8733, kappa: 0.7155, kb_relative_information_score: 0.7047, mean_absolute_error: 0.1261, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.873, predictive_accuracy: 0.8739, prior_entropy: 0.9223, recall: 0.8739, relative_absolute_error: 0.2819, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3551, root_relative_squared_error: 0.7509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8553, f_measure: 0.8742, kappa: 0.7175, kb_relative_information_score: 0.7069, mean_absolute_error: 0.1251, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.874, predictive_accuracy: 0.8749, prior_entropy: 0.9223, recall: 0.8749, relative_absolute_error: 0.2798, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3537, root_relative_squared_error: 0.7481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.849, f_measure: 0.8709, kappa: 0.7092, kb_relative_information_score: 0.7003, mean_absolute_error: 0.128, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8708, predictive_accuracy: 0.872, prior_entropy: 0.9223, recall: 0.872, relative_absolute_error: 0.2861, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3577, root_relative_squared_error: 0.7565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8461, f_measure: 0.8673, kappa: 0.7014, kb_relative_information_score: 0.6914, mean_absolute_error: 0.1318, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.867, predictive_accuracy: 0.8682, prior_entropy: 0.9223, recall: 0.8682, relative_absolute_error: 0.2946, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.363, root_relative_squared_error: 0.7677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8419, f_measure: 0.8651, kappa: 0.6959, kb_relative_information_score: 0.6869, mean_absolute_error: 0.1336, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8649, predictive_accuracy: 0.8664, prior_entropy: 0.9223, recall: 0.8664, relative_absolute_error: 0.2988, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3656, root_relative_squared_error: 0.7732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8182, f_measure: 0.8308, kappa: 0.6252, kb_relative_information_score: 0.6003, mean_absolute_error: 0.1706, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8332, predictive_accuracy: 0.8294, prior_entropy: 0.9223, recall: 0.8294, relative_absolute_error: 0.3815, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4131, root_relative_squared_error: 0.8736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7848, f_measure: 0.7961, kappa: 0.5521, kb_relative_information_score: 0.516, mean_absolute_error: 0.2066, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8019, predictive_accuracy: 0.7934, prior_entropy: 0.9223, recall: 0.7934, relative_absolute_error: 0.462, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4546, root_relative_squared_error: 0.9614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8455, f_measure: 0.868, kappa: 0.7025, kb_relative_information_score: 0.6936, mean_absolute_error: 0.1308, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8678, predictive_accuracy: 0.8692, prior_entropy: 0.9223, recall: 0.8692, relative_absolute_error: 0.2925, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.7649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8553, f_measure: 0.8751, kappa: 0.719, kb_relative_information_score: 0.7091, mean_absolute_error: 0.1242, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8748, predictive_accuracy: 0.8758, prior_entropy: 0.9223, recall: 0.8758, relative_absolute_error: 0.2776, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3524, root_relative_squared_error: 0.7452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8356, f_measure: 0.8601, kappa: 0.6844, kb_relative_information_score: 0.6758, mean_absolute_error: 0.1384, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.86, predictive_accuracy: 0.8616, prior_entropy: 0.9223, recall: 0.8616, relative_absolute_error: 0.3094, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.372, root_relative_squared_error: 0.7868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8523, f_measure: 0.8666, kappa: 0.7021, kb_relative_information_score: 0.6869, mean_absolute_error: 0.1336, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8668, predictive_accuracy: 0.8664, prior_entropy: 0.9223, recall: 0.8664, relative_absolute_error: 0.2988, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3656, root_relative_squared_error: 0.7732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6619, f_measure: 0.7273, kappa: 0.3755, kb_relative_information_score: 0.436, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7743, predictive_accuracy: 0.7592, prior_entropy: 0.9223, recall: 0.7592, relative_absolute_error: 0.5383, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4907, root_relative_squared_error: 1.0377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8255, f_measure: 0.8437, kappa: 0.6505, kb_relative_information_score: 0.6337, mean_absolute_error: 0.1564, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8437, predictive_accuracy: 0.8436, prior_entropy: 0.9223, recall: 0.8436, relative_absolute_error: 0.3497, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.8364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8227, f_measure: 0.844, kappa: 0.6499, kb_relative_information_score: 0.6359, mean_absolute_error: 0.1555, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8436, predictive_accuracy: 0.8445, prior_entropy: 0.9223, recall: 0.8445, relative_absolute_error: 0.3476, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3943, root_relative_squared_error: 0.8338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8409, f_measure: 0.853, kappa: 0.6734, kb_relative_information_score: 0.6536, mean_absolute_error: 0.1479, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8544, predictive_accuracy: 0.8521, prior_entropy: 0.9223, recall: 0.8521, relative_absolute_error: 0.3306, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3845, root_relative_squared_error: 0.8133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8509, f_measure: 0.8664, kappa: 0.7013, kb_relative_information_score: 0.6869, mean_absolute_error: 0.1336, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8664, predictive_accuracy: 0.8664, prior_entropy: 0.9223, recall: 0.8664, relative_absolute_error: 0.2988, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3656, root_relative_squared_error: 0.7732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8367, f_measure: 0.8532, kappa: 0.6721, kb_relative_information_score: 0.6559, mean_absolute_error: 0.1469, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8534, predictive_accuracy: 0.8531, prior_entropy: 0.9223, recall: 0.8531, relative_absolute_error: 0.3285, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3833, root_relative_squared_error: 0.8106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8573, f_measure: 0.8729, kappa: 0.7156, kb_relative_information_score: 0.7025, mean_absolute_error: 0.127, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8728, predictive_accuracy: 0.873, prior_entropy: 0.9223, recall: 0.873, relative_absolute_error: 0.284, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3564, root_relative_squared_error: 0.7537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.829, f_measure: 0.8466, kappa: 0.6571, kb_relative_information_score: 0.6403, mean_absolute_error: 0.1536, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8467, predictive_accuracy: 0.8464, prior_entropy: 0.9223, recall: 0.8464, relative_absolute_error: 0.3433, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3919, root_relative_squared_error: 0.8287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8011, f_measure: 0.8126, kappa: 0.5869, kb_relative_information_score: 0.5559, mean_absolute_error: 0.1896, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8169, predictive_accuracy: 0.8104, prior_entropy: 0.9223, recall: 0.8104, relative_absolute_error: 0.4239, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4354, root_relative_squared_error: 0.9208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8614, f_measure: 0.8742, kappa: 0.7194, kb_relative_information_score: 0.7047, mean_absolute_error: 0.1261, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8746, predictive_accuracy: 0.8739, prior_entropy: 0.9223, recall: 0.8739, relative_absolute_error: 0.2819, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3551, root_relative_squared_error: 0.7509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.838, f_measure: 0.851, kappa: 0.6687, kb_relative_information_score: 0.6492, mean_absolute_error: 0.1498, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8522, predictive_accuracy: 0.8502, prior_entropy: 0.9223, recall: 0.8502, relative_absolute_error: 0.3349, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.387, root_relative_squared_error: 0.8184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5175, f_measure: 0.5573, kappa: 0.0455, kb_relative_information_score: 0.2318, mean_absolute_error: 0.328, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.6973, predictive_accuracy: 0.672, prior_entropy: 0.9223, recall: 0.672, relative_absolute_error: 0.7333, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.5727, root_relative_squared_error: 1.2112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8444, f_measure: 0.855, kappa: 0.6784, kb_relative_information_score: 0.6581, mean_absolute_error: 0.146, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8569, predictive_accuracy: 0.854, prior_entropy: 0.9223, recall: 0.854, relative_absolute_error: 0.3264, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3821, root_relative_squared_error: 0.808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8588, f_measure: 0.8763, kappa: 0.7225, kb_relative_information_score: 0.7114, mean_absolute_error: 0.1232, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8761, predictive_accuracy: 0.8768, prior_entropy: 0.9223, recall: 0.8768, relative_absolute_error: 0.2755, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.351, root_relative_squared_error: 0.7424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7898, f_measure: 0.8225, kappa: 0.5978, kb_relative_information_score: 0.5915, mean_absolute_error: 0.1744, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8226, predictive_accuracy: 0.8256, prior_entropy: 0.9223, recall: 0.8256, relative_absolute_error: 0.39, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4176, root_relative_squared_error: 0.8832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.856, f_measure: 0.8752, kappa: 0.7194, kb_relative_information_score: 0.7091, mean_absolute_error: 0.1242, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8749, predictive_accuracy: 0.8758, prior_entropy: 0.9223, recall: 0.8758, relative_absolute_error: 0.2776, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3524, root_relative_squared_error: 0.7452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8546, f_measure: 0.8733, kappa: 0.7155, kb_relative_information_score: 0.7047, mean_absolute_error: 0.1261, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.873, predictive_accuracy: 0.8739, prior_entropy: 0.9223, recall: 0.8739, relative_absolute_error: 0.2819, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3551, root_relative_squared_error: 0.7509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8272, f_measure: 0.854, kappa: 0.6701, kb_relative_information_score: 0.6625, mean_absolute_error: 0.1441, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8541, predictive_accuracy: 0.8559, prior_entropy: 0.9223, recall: 0.8559, relative_absolute_error: 0.3221, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3796, root_relative_squared_error: 0.8028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7674, f_measure: 0.807, kappa: 0.5603, kb_relative_information_score: 0.5604, mean_absolute_error: 0.1877, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8089, predictive_accuracy: 0.8123, prior_entropy: 0.9223, recall: 0.8123, relative_absolute_error: 0.4196, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4332, root_relative_squared_error: 0.9162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8247, f_measure: 0.8404, kappa: 0.6444, kb_relative_information_score: 0.6248, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8412, predictive_accuracy: 0.8398, prior_entropy: 0.9223, recall: 0.8398, relative_absolute_error: 0.3582, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4002, root_relative_squared_error: 0.8465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8315, f_measure: 0.861, kappa: 0.6848, kb_relative_information_score: 0.6803, mean_absolute_error: 0.1365, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8622, predictive_accuracy: 0.8635, prior_entropy: 0.9223, recall: 0.8635, relative_absolute_error: 0.3052, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3694, root_relative_squared_error: 0.7813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.824, f_measure: 0.8419, kappa: 0.6467, kb_relative_information_score: 0.6292, mean_absolute_error: 0.1583, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.842, predictive_accuracy: 0.8417, prior_entropy: 0.9223, recall: 0.8417, relative_absolute_error: 0.3539, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3979, root_relative_squared_error: 0.8414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8596, f_measure: 0.8805, kappa: 0.7308, kb_relative_information_score: 0.7225, mean_absolute_error: 0.1185, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8804, predictive_accuracy: 0.8815, prior_entropy: 0.9223, recall: 0.8815, relative_absolute_error: 0.2649, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3442, root_relative_squared_error: 0.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8291, f_measure: 0.8497, kappa: 0.6627, kb_relative_information_score: 0.6492, mean_absolute_error: 0.1498, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8493, predictive_accuracy: 0.8502, prior_entropy: 0.9223, recall: 0.8502, relative_absolute_error: 0.3349, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.387, root_relative_squared_error: 0.8184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.669, f_measure: 0.6976, kappa: 0.3313, kb_relative_information_score: 0.2851, mean_absolute_error: 0.3052, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7015, predictive_accuracy: 0.6948, prior_entropy: 0.9223, recall: 0.6948, relative_absolute_error: 0.6824, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.5525, root_relative_squared_error: 1.1684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8476, f_measure: 0.8707, kappa: 0.7084, kb_relative_information_score: 0.7003, mean_absolute_error: 0.128, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8707, predictive_accuracy: 0.872, prior_entropy: 0.9223, recall: 0.872, relative_absolute_error: 0.2861, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3577, root_relative_squared_error: 0.7565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8539, f_measure: 0.8749, kappa: 0.7182, kb_relative_information_score: 0.7091, mean_absolute_error: 0.1242, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8747, predictive_accuracy: 0.8758, prior_entropy: 0.9223, recall: 0.8758, relative_absolute_error: 0.2776, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3524, root_relative_squared_error: 0.7452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6318, f_measure: 0.6698, kappa: 0.2627, kb_relative_information_score: 0.2251, mean_absolute_error: 0.3308, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.6703, predictive_accuracy: 0.6692, prior_entropy: 0.9223, recall: 0.6692, relative_absolute_error: 0.7396, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.5752, root_relative_squared_error: 1.2164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8476, f_measure: 0.8699, kappa: 0.7069, kb_relative_information_score: 0.698, mean_absolute_error: 0.1289, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8698, predictive_accuracy: 0.8711, prior_entropy: 0.9223, recall: 0.8711, relative_absolute_error: 0.2882, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.359, root_relative_squared_error: 0.7593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8602, f_measure: 0.879, kappa: 0.728, kb_relative_information_score: 0.718, mean_absolute_error: 0.1204, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8787, predictive_accuracy: 0.8796, prior_entropy: 0.9223, recall: 0.8796, relative_absolute_error: 0.2692, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.347, root_relative_squared_error: 0.7338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8673, f_measure: 0.8848, kappa: 0.7412, kb_relative_information_score: 0.7313, mean_absolute_error: 0.1147, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8845, predictive_accuracy: 0.8853, prior_entropy: 0.9223, recall: 0.8853, relative_absolute_error: 0.2564, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3387, root_relative_squared_error: 0.7162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8134, f_measure: 0.8527, kappa: 0.6635, kb_relative_information_score: 0.667, mean_absolute_error: 0.1422, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8594, predictive_accuracy: 0.8578, prior_entropy: 0.9223, recall: 0.8578, relative_absolute_error: 0.3179, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3771, root_relative_squared_error: 0.7975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8582, f_measure: 0.8787, kappa: 0.7268, kb_relative_information_score: 0.718, mean_absolute_error: 0.1204, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8785, predictive_accuracy: 0.8796, prior_entropy: 0.9223, recall: 0.8796, relative_absolute_error: 0.2692, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.347, root_relative_squared_error: 0.7338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8623, f_measure: 0.8801, kappa: 0.7307, kb_relative_information_score: 0.7202, mean_absolute_error: 0.1194, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8798, predictive_accuracy: 0.8806, prior_entropy: 0.9223, recall: 0.8806, relative_absolute_error: 0.267, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3456, root_relative_squared_error: 0.7309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8658, f_measure: 0.883, kappa: 0.7373, kb_relative_information_score: 0.7269, mean_absolute_error: 0.1166, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8827, predictive_accuracy: 0.8834, prior_entropy: 0.9223, recall: 0.8834, relative_absolute_error: 0.2607, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3414, root_relative_squared_error: 0.7221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.811, f_measure: 0.8203, kappa: 0.6044, kb_relative_information_score: 0.5737, mean_absolute_error: 0.182, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8252, predictive_accuracy: 0.818, prior_entropy: 0.9223, recall: 0.818, relative_absolute_error: 0.4069, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4266, root_relative_squared_error: 0.9022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8095, f_measure: 0.8185, kappa: 0.6009, kb_relative_information_score: 0.5693, mean_absolute_error: 0.1839, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8237, predictive_accuracy: 0.8161, prior_entropy: 0.9223, recall: 0.8161, relative_absolute_error: 0.4111, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4288, root_relative_squared_error: 0.9069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8038, f_measure: 0.8122, kappa: 0.5878, kb_relative_information_score: 0.5537, mean_absolute_error: 0.1905, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8184, predictive_accuracy: 0.8095, prior_entropy: 0.9223, recall: 0.8095, relative_absolute_error: 0.426, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4365, root_relative_squared_error: 0.9231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8024, f_measure: 0.8104, kappa: 0.5843, kb_relative_information_score: 0.5493, mean_absolute_error: 0.1924, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.817, predictive_accuracy: 0.8076, prior_entropy: 0.9223, recall: 0.8076, relative_absolute_error: 0.4302, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4387, root_relative_squared_error: 0.9277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7855, f_measure: 0.8165, kappa: 0.5851, kb_relative_information_score: 0.5759, mean_absolute_error: 0.181, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.816, predictive_accuracy: 0.819, prior_entropy: 0.9223, recall: 0.819, relative_absolute_error: 0.4048, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4255, root_relative_squared_error: 0.8999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2096, mean_absolute_error: 0.3374, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9223, recall: 0.6626, relative_absolute_error: 0.7545, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.5809, root_relative_squared_error: 1.2285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7653, f_measure: 0.8043, kappa: 0.5546, kb_relative_information_score: 0.5537, mean_absolute_error: 0.1905, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8058, predictive_accuracy: 0.8095, prior_entropy: 0.9223, recall: 0.8095, relative_absolute_error: 0.426, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4365, root_relative_squared_error: 0.9231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2096, mean_absolute_error: 0.3374, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9223, recall: 0.6626, relative_absolute_error: 0.7545, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.5809, root_relative_squared_error: 1.2285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5028, f_measure: 0.5337, kappa: 0.0073, kb_relative_information_score: 0.2118, mean_absolute_error: 0.3365, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.6423, predictive_accuracy: 0.6635, prior_entropy: 0.9223, recall: 0.6635, relative_absolute_error: 0.7524, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.5801, root_relative_squared_error: 1.2268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8686, f_measure: 0.8833, kappa: 0.7387, kb_relative_information_score: 0.7269, mean_absolute_error: 0.1166, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8832, predictive_accuracy: 0.8834, prior_entropy: 0.9223, recall: 0.8834, relative_absolute_error: 0.2607, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3414, root_relative_squared_error: 0.7221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8601, f_measure: 0.8757, kappa: 0.7217, kb_relative_information_score: 0.7091, mean_absolute_error: 0.1242, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8756, predictive_accuracy: 0.8758, prior_entropy: 0.9223, recall: 0.8758, relative_absolute_error: 0.2776, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3524, root_relative_squared_error: 0.7452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8304, f_measure: 0.8468, kappa: 0.658, kb_relative_information_score: 0.6403, mean_absolute_error: 0.1536, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8471, predictive_accuracy: 0.8464, prior_entropy: 0.9223, recall: 0.8464, relative_absolute_error: 0.3433, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3919, root_relative_squared_error: 0.8287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8346, f_measure: 0.8513, kappa: 0.6679, kb_relative_information_score: 0.6514, mean_absolute_error: 0.1488, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8515, predictive_accuracy: 0.8512, prior_entropy: 0.9223, recall: 0.8512, relative_absolute_error: 0.3327, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3858, root_relative_squared_error: 0.8159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8367, f_measure: 0.8532, kappa: 0.6721, kb_relative_information_score: 0.6559, mean_absolute_error: 0.1469, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8534, predictive_accuracy: 0.8531, prior_entropy: 0.9223, recall: 0.8531, relative_absolute_error: 0.3285, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3833, root_relative_squared_error: 0.8106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8181, f_measure: 0.8477, kappa: 0.6551, kb_relative_information_score: 0.6492, mean_absolute_error: 0.1498, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8483, predictive_accuracy: 0.8502, prior_entropy: 0.9223, recall: 0.8502, relative_absolute_error: 0.3349, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.387, root_relative_squared_error: 0.8184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8419, f_measure: 0.8651, kappa: 0.6959, kb_relative_information_score: 0.6869, mean_absolute_error: 0.1336, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8649, predictive_accuracy: 0.8664, prior_entropy: 0.9223, recall: 0.8664, relative_absolute_error: 0.2988, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3656, root_relative_squared_error: 0.7732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8426, f_measure: 0.8652, kappa: 0.6963, kb_relative_information_score: 0.6869, mean_absolute_error: 0.1336, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.865, predictive_accuracy: 0.8664, prior_entropy: 0.9223, recall: 0.8664, relative_absolute_error: 0.2988, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3656, root_relative_squared_error: 0.7732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8083, f_measure: 0.842, kappa: 0.6409, kb_relative_information_score: 0.6381, mean_absolute_error: 0.1545, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8437, predictive_accuracy: 0.8455, prior_entropy: 0.9223, recall: 0.8455, relative_absolute_error: 0.3455, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3931, root_relative_squared_error: 0.8313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8278, f_measure: 0.851, kappa: 0.6647, kb_relative_information_score: 0.6536, mean_absolute_error: 0.1479, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8506, predictive_accuracy: 0.8521, prior_entropy: 0.9223, recall: 0.8521, relative_absolute_error: 0.3306, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3845, root_relative_squared_error: 0.8133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8503, f_measure: 0.8703, kappa: 0.7085, kb_relative_information_score: 0.698, mean_absolute_error: 0.1289, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.87, predictive_accuracy: 0.8711, prior_entropy: 0.9223, recall: 0.8711, relative_absolute_error: 0.2882, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.359, root_relative_squared_error: 0.7593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8398, f_measure: 0.8632, kappa: 0.6916, kb_relative_information_score: 0.6825, mean_absolute_error: 0.1355, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.863, predictive_accuracy: 0.8645, prior_entropy: 0.9223, recall: 0.8645, relative_absolute_error: 0.3031, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.7786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8307, f_measure: 0.8577, kappa: 0.6783, kb_relative_information_score: 0.6714, mean_absolute_error: 0.1403, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.858, predictive_accuracy: 0.8597, prior_entropy: 0.9223, recall: 0.8597, relative_absolute_error: 0.3137, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3745, root_relative_squared_error: 0.7921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8419, f_measure: 0.8651, kappa: 0.6959, kb_relative_information_score: 0.6869, mean_absolute_error: 0.1336, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8649, predictive_accuracy: 0.8664, prior_entropy: 0.9223, recall: 0.8664, relative_absolute_error: 0.2988, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3656, root_relative_squared_error: 0.7732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8335, f_measure: 0.8598, kappa: 0.6831, kb_relative_information_score: 0.6758, mean_absolute_error: 0.1384, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.86, predictive_accuracy: 0.8616, prior_entropy: 0.9223, recall: 0.8616, relative_absolute_error: 0.3094, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.372, root_relative_squared_error: 0.7868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.863, f_measure: 0.881, kappa: 0.7326, kb_relative_information_score: 0.7225, mean_absolute_error: 0.1185, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8807, predictive_accuracy: 0.8815, prior_entropy: 0.9223, recall: 0.8815, relative_absolute_error: 0.2649, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3442, root_relative_squared_error: 0.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8574, f_measure: 0.8762, kappa: 0.7217, kb_relative_information_score: 0.7114, mean_absolute_error: 0.1232, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8759, predictive_accuracy: 0.8768, prior_entropy: 0.9223, recall: 0.8768, relative_absolute_error: 0.2755, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.351, root_relative_squared_error: 0.7424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8394, f_measure: 0.8496, kappa: 0.6668, kb_relative_information_score: 0.6448, mean_absolute_error: 0.1517, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8519, predictive_accuracy: 0.8483, prior_entropy: 0.9223, recall: 0.8483, relative_absolute_error: 0.3391, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3894, root_relative_squared_error: 0.8236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6662, f_measure: 0.6956, kappa: 0.3262, kb_relative_information_score: 0.2806, mean_absolute_error: 0.3071, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.6992, predictive_accuracy: 0.6929, prior_entropy: 0.9223, recall: 0.6929, relative_absolute_error: 0.6867, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.5542, root_relative_squared_error: 1.172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.8612, kappa: 0.6868, kb_relative_information_score: 0.6781, mean_absolute_error: 0.1374, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.861, predictive_accuracy: 0.8626, prior_entropy: 0.9223, recall: 0.8626, relative_absolute_error: 0.3073, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3707, root_relative_squared_error: 0.7841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8433, f_measure: 0.8661, kappa: 0.6982, kb_relative_information_score: 0.6892, mean_absolute_error: 0.1327, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8659, predictive_accuracy: 0.8673, prior_entropy: 0.9223, recall: 0.8673, relative_absolute_error: 0.2967, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3643, root_relative_squared_error: 0.7704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6429, f_measure: 0.6742, kappa: 0.2798, kb_relative_information_score: 0.2296, mean_absolute_error: 0.3289, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.6785, predictive_accuracy: 0.6711, prior_entropy: 0.9223, recall: 0.6711, relative_absolute_error: 0.7354, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.5735, root_relative_squared_error: 1.2129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8296, f_measure: 0.8459, kappa: 0.6561, kb_relative_information_score: 0.6381, mean_absolute_error: 0.1545, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8463, predictive_accuracy: 0.8455, prior_entropy: 0.9223, recall: 0.8455, relative_absolute_error: 0.3455, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3931, root_relative_squared_error: 0.8313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6856, f_measure: 0.7192, kappa: 0.3717, kb_relative_information_score: 0.3428, mean_absolute_error: 0.2806, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.719, predictive_accuracy: 0.7194, prior_entropy: 0.9223, recall: 0.7194, relative_absolute_error: 0.6273, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.5297, root_relative_squared_error: 1.1202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4894, f_measure: 0.5353, kappa: -0.0205, kb_relative_information_score: -0.1035, mean_absolute_error: 0.4711, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.5436, predictive_accuracy: 0.5289, prior_entropy: 0.9223, recall: 0.5289, relative_absolute_error: 1.0533, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.6864, root_relative_squared_error: 1.4516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8567, f_measure: 0.8761, kappa: 0.7214, kb_relative_information_score: 0.7114, mean_absolute_error: 0.1232, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8758, predictive_accuracy: 0.8768, prior_entropy: 0.9223, recall: 0.8768, relative_absolute_error: 0.2755, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.351, root_relative_squared_error: 0.7424,

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