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: 0.7954, 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: 0.8743, 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: 0.8238, f_measure: 0.8347, kappa: 0.6345, kb_relative_information_score: 0.6092, mean_absolute_error: 0.1668, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8377, predictive_accuracy: 0.8332, prior_entropy: 0.9223, recall: 0.8332, relative_absolute_error: 0.373, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4084, root_relative_squared_error: 0.8638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8324, f_measure: 0.8471, kappa: 0.6594, kb_relative_information_score: 0.6403, mean_absolute_error: 0.1536, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8479, 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: 0.6058, 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: 0.8458, f_measure: 0.8585, kappa: 0.6851, 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: 0.8603, 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: 0.6065, 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: 0.5792, 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: 0.5729, 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: 0.7919, f_measure: 0.8034, kappa: 0.5674, kb_relative_information_score: 0.5337, mean_absolute_error: 0.1991, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8085, predictive_accuracy: 0.8009, prior_entropy: 0.9223, recall: 0.8009, relative_absolute_error: 0.4451, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4462, root_relative_squared_error: 0.9436,
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: 0.8615, 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: 0.8588, 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: 0.8424, f_measure: 0.8572, kappa: 0.6814, kb_relative_information_score: 0.6647, mean_absolute_error: 0.1431, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8576, predictive_accuracy: 0.8569, prior_entropy: 0.9223, recall: 0.8569, relative_absolute_error: 0.32, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3783, root_relative_squared_error: 0.8001,
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: 0.6584, 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: 0.7558, 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: 0.8276, 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: 0.8644, 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: 0.8637, 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: 0.8368, 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: 0.8665, 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: 0.836, 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: 0.617, 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: 0.8574, f_measure: 0.877, kappa: 0.7233, kb_relative_information_score: 0.7136, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8767, 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: 0.8574, f_measure: 0.877, kappa: 0.7233, kb_relative_information_score: 0.7136, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8767, 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: 0.8588, f_measure: 0.878, kappa: 0.7256, kb_relative_information_score: 0.7158, mean_absolute_error: 0.1213, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8777, 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: 0.8631, f_measure: 0.8834, kappa: 0.7374, kb_relative_information_score: 0.7291, mean_absolute_error: 0.1156, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8833, predictive_accuracy: 0.8844, prior_entropy: 0.9223, recall: 0.8844, relative_absolute_error: 0.2586, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3401, root_relative_squared_error: 0.7192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8574, f_measure: 0.877, kappa: 0.7233, kb_relative_information_score: 0.7136, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8767, 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: 0.8574, f_measure: 0.877, kappa: 0.7233, kb_relative_information_score: 0.7136, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8767, 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: 0.8574, f_measure: 0.877, kappa: 0.7233, kb_relative_information_score: 0.7136, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8767, 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: 0.8574, f_measure: 0.877, kappa: 0.7233, kb_relative_information_score: 0.7136, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8767, 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: 0.8624, f_measure: 0.8825, kappa: 0.7354, kb_relative_information_score: 0.7269, mean_absolute_error: 0.1166, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8824, 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: 0.8574, f_measure: 0.877, kappa: 0.7233, kb_relative_information_score: 0.7136, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8767, 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: 0.8624, f_measure: 0.8825, kappa: 0.7354, kb_relative_information_score: 0.7269, mean_absolute_error: 0.1166, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8824, 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: 0.8588, f_measure: 0.878, kappa: 0.7256, kb_relative_information_score: 0.7158, mean_absolute_error: 0.1213, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8777, 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: 0.8574, f_measure: 0.877, kappa: 0.7233, kb_relative_information_score: 0.7136, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8767, 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: 0.8624, f_measure: 0.8825, kappa: 0.7354, kb_relative_information_score: 0.7269, mean_absolute_error: 0.1166, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8824, 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: 0.8574, f_measure: 0.877, kappa: 0.7233, kb_relative_information_score: 0.7136, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8767, 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: 0.8574, f_measure: 0.877, kappa: 0.7233, kb_relative_information_score: 0.7136, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8767, 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: 0.8574, f_measure: 0.877, kappa: 0.7233, kb_relative_information_score: 0.7136, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8767, 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: 0.8617, f_measure: 0.8816, kappa: 0.7335, 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: 0.8574, f_measure: 0.877, kappa: 0.7233, kb_relative_information_score: 0.7136, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8767, 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: 0.8624, f_measure: 0.8825, kappa: 0.7354, kb_relative_information_score: 0.7269, mean_absolute_error: 0.1166, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8824, 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: 0.8574, f_measure: 0.877, kappa: 0.7233, kb_relative_information_score: 0.7136, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8767, 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: 0.8574, f_measure: 0.877, kappa: 0.7233, kb_relative_information_score: 0.7136, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8767, 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: 0.8624, f_measure: 0.8825, kappa: 0.7354, kb_relative_information_score: 0.7269, mean_absolute_error: 0.1166, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8824, 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: 0.8574, f_measure: 0.877, kappa: 0.7233, kb_relative_information_score: 0.7136, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8767, 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: 0.8574, f_measure: 0.877, kappa: 0.7233, kb_relative_information_score: 0.7136, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8767, 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: 0.8574, f_measure: 0.877, kappa: 0.7233, kb_relative_information_score: 0.7136, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8767, 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: 0.861, f_measure: 0.8815, kappa: 0.7331, 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: 0.8673, f_measure: 0.8856, kappa: 0.7428, kb_relative_information_score: 0.7336, mean_absolute_error: 0.1137, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8854, predictive_accuracy: 0.8863, prior_entropy: 0.9223, recall: 0.8863, relative_absolute_error: 0.2543, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3373, root_relative_squared_error: 0.7133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8624, f_measure: 0.8825, kappa: 0.7354, kb_relative_information_score: 0.7269, mean_absolute_error: 0.1166, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8824, 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: 0.8574, f_measure: 0.877, kappa: 0.7233, kb_relative_information_score: 0.7136, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8767, 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: 0.8574, f_measure: 0.877, kappa: 0.7233, kb_relative_information_score: 0.7136, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8767, 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: 0.8574, f_measure: 0.877, kappa: 0.7233, kb_relative_information_score: 0.7136, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8767, 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: 0.8574, f_measure: 0.877, kappa: 0.7233, kb_relative_information_score: 0.7136, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8767, 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: 0.8624, f_measure: 0.8825, kappa: 0.7354, kb_relative_information_score: 0.7269, mean_absolute_error: 0.1166, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8824, 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: 0.8617, f_measure: 0.8816, kappa: 0.7335, 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: 0.8574, f_measure: 0.877, kappa: 0.7233, kb_relative_information_score: 0.7136, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8767, 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: 0.8574, f_measure: 0.877, kappa: 0.7233, kb_relative_information_score: 0.7136, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8767, 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: 0.8574, f_measure: 0.877, kappa: 0.7233, kb_relative_information_score: 0.7136, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8767, 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: 0.8624, f_measure: 0.8825, kappa: 0.7354, kb_relative_information_score: 0.7269, mean_absolute_error: 0.1166, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8824, 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: 0.8574, f_measure: 0.877, kappa: 0.7233, kb_relative_information_score: 0.7136, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8767, 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: 0.8574, f_measure: 0.877, kappa: 0.7233, kb_relative_information_score: 0.7136, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8767, 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: 0.8574, f_measure: 0.877, kappa: 0.7233, kb_relative_information_score: 0.7136, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8767, 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: 0.8574, f_measure: 0.877, kappa: 0.7233, kb_relative_information_score: 0.7136, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8767, 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: 0.8574, f_measure: 0.877, kappa: 0.7233, kb_relative_information_score: 0.7136, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8767, 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: 0.8624, f_measure: 0.8825, kappa: 0.7354, kb_relative_information_score: 0.7269, mean_absolute_error: 0.1166, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8824, 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: 0.8574, f_measure: 0.877, kappa: 0.7233, kb_relative_information_score: 0.7136, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8767, 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: 0.8617, f_measure: 0.8816, kappa: 0.7335, 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: 0.8574, f_measure: 0.877, kappa: 0.7233, kb_relative_information_score: 0.7136, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8767, 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: 0.8574, f_measure: 0.877, kappa: 0.7233, kb_relative_information_score: 0.7136, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8767, 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: 0.8574, f_measure: 0.877, kappa: 0.7233, kb_relative_information_score: 0.7136, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8767, 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: 0.8624, f_measure: 0.8825, kappa: 0.7354, kb_relative_information_score: 0.7269, mean_absolute_error: 0.1166, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8824, 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: 0.8588, f_measure: 0.878, kappa: 0.7256, kb_relative_information_score: 0.7158, mean_absolute_error: 0.1213, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8777, 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: 0.8574, f_measure: 0.877, kappa: 0.7233, kb_relative_information_score: 0.7136, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8767, 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: 0.8624, f_measure: 0.8825, kappa: 0.7354, kb_relative_information_score: 0.7269, mean_absolute_error: 0.1166, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8824, 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: 0.8624, f_measure: 0.8825, kappa: 0.7354, kb_relative_information_score: 0.7269, mean_absolute_error: 0.1166, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8824, 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: 0.8624, f_measure: 0.8825, kappa: 0.7354, kb_relative_information_score: 0.7269, mean_absolute_error: 0.1166, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8824, 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: 0.8574, f_measure: 0.877, kappa: 0.7233, kb_relative_information_score: 0.7136, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8767, 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: 0.8368, 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: 0.8276, 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: 0.8743, 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: 0.7558, 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: 0.617, 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: 0.8644, 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: 0.8637, 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: 0.5967, f_measure: 0.6606, kappa: 0.2362, kb_relative_information_score: 0.345, mean_absolute_error: 0.2796, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7498, predictive_accuracy: 0.7204, prior_entropy: 0.9223, recall: 0.7204, relative_absolute_error: 0.6252, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.5288, root_relative_squared_error: 1.1183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5301, f_measure: 0.5752, kappa: 0.0778, kb_relative_information_score: 0.2518, mean_absolute_error: 0.3194, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7274, predictive_accuracy: 0.6806, prior_entropy: 0.9223, recall: 0.6806, relative_absolute_error: 0.7142, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.5652, root_relative_squared_error: 1.1953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8581, f_measure: 0.8779, kappa: 0.7253, kb_relative_information_score: 0.7158, mean_absolute_error: 0.1213, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8776, 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: 0.8531, f_measure: 0.8723, kappa: 0.7132, kb_relative_information_score: 0.7025, mean_absolute_error: 0.127, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.872, 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: 0.8705, 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: 0.8546, f_measure: 0.875, kappa: 0.7186, 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: 0.8013, f_measure: 0.8367, kappa: 0.6285, kb_relative_information_score: 0.627, mean_absolute_error: 0.1592, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8389, 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: 0.7826, f_measure: 0.813, kappa: 0.5776, kb_relative_information_score: 0.567, mean_absolute_error: 0.1848, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8123, predictive_accuracy: 0.8152, prior_entropy: 0.9223, recall: 0.8152, relative_absolute_error: 0.4133, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4299, root_relative_squared_error: 0.9092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.761, f_measure: 0.8004, kappa: 0.5457, kb_relative_information_score: 0.5448, mean_absolute_error: 0.1943, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8017, predictive_accuracy: 0.8057, prior_entropy: 0.9223, recall: 0.8057, relative_absolute_error: 0.4345, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4408, root_relative_squared_error: 0.9323,
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