OpenML
Supervised Classification on qsar-biodeg

Supervised Classification on qsar-biodeg

Task 9957 Supervised Classification qsar-biodeg 149823 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_7 study_98 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.8615, kappa: 0.6865, kb_relative_information_score: 0.6803, mean_absolute_error: 0.1365, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.862, 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: 0.8532, f_measure: 0.874, kappa: 0.7163, kb_relative_information_score: 0.7069, mean_absolute_error: 0.1251, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8737, 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: 0.8236, f_measure: 0.8503, kappa: 0.6619, kb_relative_information_score: 0.6536, mean_absolute_error: 0.1479, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8502, 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: 0.8642, f_measure: 0.8754, kappa: 0.7225, kb_relative_information_score: 0.7069, mean_absolute_error: 0.1251, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8761, 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: 0.8384, f_measure: 0.8614, kappa: 0.6877, kb_relative_information_score: 0.6781, mean_absolute_error: 0.1374, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8611, 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: 0.86, f_measure: 0.8732, kappa: 0.7171, kb_relative_information_score: 0.7025, mean_absolute_error: 0.127, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8736, 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: 0.8503, 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: 0.7872, f_measure: 0.8247, kappa: 0.6008, kb_relative_information_score: 0.6003, mean_absolute_error: 0.1706, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.827, 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: 0.8623, f_measure: 0.8809, kappa: 0.7323, kb_relative_information_score: 0.7225, mean_absolute_error: 0.1185, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8806, 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: 0.8206, f_measure: 0.8405, kappa: 0.6429, kb_relative_information_score: 0.627, mean_absolute_error: 0.1592, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8403, predictive_accuracy: 0.8408, prior_entropy: 0.9223, recall: 0.8408, relative_absolute_error: 0.356, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3991, root_relative_squared_error: 0.844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8483, f_measure: 0.87, kappa: 0.7073, 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: 0.8191, f_measure: 0.8388, kappa: 0.6391, kb_relative_information_score: 0.6225, mean_absolute_error: 0.1611, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8386, predictive_accuracy: 0.8389, prior_entropy: 0.9223, recall: 0.8389, relative_absolute_error: 0.3603, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4014, root_relative_squared_error: 0.849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8283, f_measure: 0.8464, kappa: 0.6566, kb_relative_information_score: 0.6403, mean_absolute_error: 0.1536, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8464, 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: 0.8198, f_measure: 0.8381, kappa: 0.6383, kb_relative_information_score: 0.6203, mean_absolute_error: 0.1621, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8383, predictive_accuracy: 0.8379, prior_entropy: 0.9223, recall: 0.8379, relative_absolute_error: 0.3624, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4026, root_relative_squared_error: 0.8515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8167, f_measure: 0.8467, kappa: 0.6527, kb_relative_information_score: 0.647, mean_absolute_error: 0.1507, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8473, predictive_accuracy: 0.8493, prior_entropy: 0.9223, recall: 0.8493, relative_absolute_error: 0.337, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3882, root_relative_squared_error: 0.821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8524, f_measure: 0.8714, kappa: 0.7112, kb_relative_information_score: 0.7003, mean_absolute_error: 0.128, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8711, 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: 0.8517, f_measure: 0.8705, kappa: 0.7093, kb_relative_information_score: 0.698, mean_absolute_error: 0.1289, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8702, 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: 0.8553, f_measure: 0.8767, kappa: 0.7221, 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: 0.8524, f_measure: 0.8706, kappa: 0.7097, kb_relative_information_score: 0.698, mean_absolute_error: 0.1289, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8703, 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: 0.794, f_measure: 0.8249, kappa: 0.6038, kb_relative_information_score: 0.5959, mean_absolute_error: 0.1725, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8247, predictive_accuracy: 0.8275, prior_entropy: 0.9223, recall: 0.8275, relative_absolute_error: 0.3857, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4153, root_relative_squared_error: 0.8784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8489, f_measure: 0.8685, kappa: 0.7046, kb_relative_information_score: 0.6936, mean_absolute_error: 0.1308, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8682, 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: 0.8538, f_measure: 0.8724, kappa: 0.7136, kb_relative_information_score: 0.7025, mean_absolute_error: 0.127, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8721, 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: 0.8518, 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: 0.8445, f_measure: 0.8591, kappa: 0.6857, kb_relative_information_score: 0.6692, mean_absolute_error: 0.1412, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8595, predictive_accuracy: 0.8588, prior_entropy: 0.9223, recall: 0.8588, relative_absolute_error: 0.3158, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3758, root_relative_squared_error: 0.7948,
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: 0.8388, f_measure: 0.8535, kappa: 0.6735, kb_relative_information_score: 0.6559, mean_absolute_error: 0.1469, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8541, 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: 0.8595, f_measure: 0.8781, kappa: 0.726, kb_relative_information_score: 0.7158, mean_absolute_error: 0.1213, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8778, predictive_accuracy: 0.8787, prior_entropy: 0.9223, recall: 0.8787, relative_absolute_error: 0.2713, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3483, root_relative_squared_error: 0.7367,
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: 0.5007, f_measure: 0.5298, kappa: 0.0018, kb_relative_information_score: 0.2096, mean_absolute_error: 0.3374, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.6079, 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: 0.8588, f_measure: 0.8772, kappa: 0.7241, kb_relative_information_score: 0.7136, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8769, 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: 0.8615, f_measure: 0.8759, kappa: 0.7225, kb_relative_information_score: 0.7091, mean_absolute_error: 0.1242, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8759, 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: 0.8609, f_measure: 0.8791, kappa: 0.7284, kb_relative_information_score: 0.718, mean_absolute_error: 0.1204, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8788, 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: 0.8368, f_measure: 0.854, kappa: 0.6736, kb_relative_information_score: 0.6581, mean_absolute_error: 0.146, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.854, 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: 0.8603, f_measure: 0.8814, kappa: 0.7327, kb_relative_information_score: 0.7247, mean_absolute_error: 0.1175, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8814, predictive_accuracy: 0.8825, prior_entropy: 0.9223, recall: 0.8825, relative_absolute_error: 0.2628, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3428, root_relative_squared_error: 0.7251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.836, f_measure: 0.8523, kappa: 0.6702, kb_relative_information_score: 0.6536, mean_absolute_error: 0.1479, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8526, 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: 0.8665, f_measure: 0.883, kappa: 0.7376, kb_relative_information_score: 0.7269, mean_absolute_error: 0.1166, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8828, 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: 0.8637, f_measure: 0.881, kappa: 0.733, kb_relative_information_score: 0.7225, mean_absolute_error: 0.1185, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8808, 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: 0.617, f_measure: 0.6571, kappa: 0.2337, kb_relative_information_score: 0.1963, mean_absolute_error: 0.3431, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.6573, predictive_accuracy: 0.6569, prior_entropy: 0.9223, recall: 0.6569, relative_absolute_error: 0.7672, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.5858, root_relative_squared_error: 1.2388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8276, f_measure: 0.8456, kappa: 0.6547, kb_relative_information_score: 0.6381, mean_absolute_error: 0.1545, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8456, 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: 0.8368, f_measure: 0.854, kappa: 0.6736, kb_relative_information_score: 0.6581, mean_absolute_error: 0.146, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.854, 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: 0.7558, f_measure: 0.7685, kappa: 0.4932, kb_relative_information_score: 0.4494, mean_absolute_error: 0.2351, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7761, predictive_accuracy: 0.7649, prior_entropy: 0.9223, recall: 0.7649, relative_absolute_error: 0.5256, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4848, root_relative_squared_error: 1.0254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8644, f_measure: 0.882, kappa: 0.735, kb_relative_information_score: 0.7247, mean_absolute_error: 0.1175, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8817, predictive_accuracy: 0.8825, prior_entropy: 0.9223, recall: 0.8825, relative_absolute_error: 0.2628, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3428, root_relative_squared_error: 0.7251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8743, f_measure: 0.8897, kappa: 0.7527, kb_relative_information_score: 0.7424, mean_absolute_error: 0.11, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8895, predictive_accuracy: 0.89, prior_entropy: 0.9223, recall: 0.89, relative_absolute_error: 0.2458, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3316, root_relative_squared_error: 0.7013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7954, f_measure: 0.8071, kappa: 0.575, kb_relative_information_score: 0.5426, mean_absolute_error: 0.1953, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8117, predictive_accuracy: 0.8047, prior_entropy: 0.9223, recall: 0.8047, relative_absolute_error: 0.4366, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4419, root_relative_squared_error: 0.9345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6584, f_measure: 0.7243, kappa: 0.3695, kb_relative_information_score: 0.4338, mean_absolute_error: 0.2417, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7767, predictive_accuracy: 0.7583, prior_entropy: 0.9223, recall: 0.7583, relative_absolute_error: 0.5404, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4916, root_relative_squared_error: 1.0398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6058, f_measure: 0.6708, kappa: 0.2568, kb_relative_information_score: 0.3583, mean_absolute_error: 0.2739, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7543, predictive_accuracy: 0.7261, prior_entropy: 0.9223, recall: 0.7261, relative_absolute_error: 0.6125, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.5234, root_relative_squared_error: 1.1069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5729, f_measure: 0.6328, kappa: 0.181, kb_relative_information_score: 0.3095, mean_absolute_error: 0.2948, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7349, predictive_accuracy: 0.7052, prior_entropy: 0.9223, recall: 0.7052, relative_absolute_error: 0.6591, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.5429, root_relative_squared_error: 1.1483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5792, f_measure: 0.6404, kappa: 0.1957, kb_relative_information_score: 0.3184, mean_absolute_error: 0.291, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7377, predictive_accuracy: 0.709, prior_entropy: 0.9223, recall: 0.709, relative_absolute_error: 0.6506, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.5394, root_relative_squared_error: 1.1409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6065, f_measure: 0.6715, kappa: 0.2587, kb_relative_information_score: 0.3606, mean_absolute_error: 0.273, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7573, predictive_accuracy: 0.727, prior_entropy: 0.9223, recall: 0.727, relative_absolute_error: 0.6104, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.5225, root_relative_squared_error: 1.105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8395, f_measure: 0.852, kappa: 0.671, kb_relative_information_score: 0.6514, mean_absolute_error: 0.1488, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8533, 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: 0.8395, f_measure: 0.852, kappa: 0.671, kb_relative_information_score: 0.6514, mean_absolute_error: 0.1488, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8533, 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: 0.8395, f_measure: 0.852, kappa: 0.671, kb_relative_information_score: 0.6514, mean_absolute_error: 0.1488, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8533, 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: 0.8395, f_measure: 0.852, kappa: 0.671, kb_relative_information_score: 0.6514, mean_absolute_error: 0.1488, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8533, 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: 0.8395, f_measure: 0.852, kappa: 0.671, kb_relative_information_score: 0.6514, mean_absolute_error: 0.1488, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8533, 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: 0.8518, 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: 0.8551, 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: 0.7111, 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: 0.8546, 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: 0.8182, 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: 0.849, 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: 0.775, 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: 0.8461, 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: 0.7848, 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: 0.8266, 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: 0.7934, 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: 0.8455, 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: 0.6724, 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: 0.5674, f_measure: 0.6236, kappa: 0.1707, kb_relative_information_score: 0.3139, mean_absolute_error: 0.2929, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7842, predictive_accuracy: 0.7071, prior_entropy: 0.9223, recall: 0.7071, relative_absolute_error: 0.6549, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.5412, root_relative_squared_error: 1.1446,
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: 0.8615, f_measure: 0.8775, kappa: 0.7256, kb_relative_information_score: 0.7136, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8773, 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: 0.7962, 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,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8525, f_measure: 0.8722, kappa: 0.7128, 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: 0.8517, 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: 0.8553, 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: 0.8248, 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: 0.8523, 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: 0.669, 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: 0.7898, 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: 0.8476, 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: 0.6619, 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: 0.8247, 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: 0.8546, 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: 0.8315, 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: 0.8614, 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: 0.8255, 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: 0.838, 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,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

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

OpenML APIs