OpenML
Supervised Classification on hill-valley

Supervised Classification on hill-valley

Task 9970 Supervised Classification hill-valley 88527 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • OpenML100 study_107 study_123 study_14 study_50 study_7
Issue #Downvotes for this reason By


Metric:

88527 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: 0.4926, f_measure: 0.4886, kappa: -0.0149, kb_relative_information_score: -18, mean_absolute_error: 0.5074, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4923, predictive_accuracy: 0.4926, prior_entropy: 1, recall: 0.4926, relative_absolute_error: 1.0149, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7123, root_relative_squared_error: 1.4247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5891, f_measure: 0.5642, kappa: 0.1782, kb_relative_information_score: 216, mean_absolute_error: 0.4109, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.6156, predictive_accuracy: 0.5891, prior_entropy: 1, recall: 0.5891, relative_absolute_error: 0.8218, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.641, root_relative_squared_error: 1.282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6262, f_measure: 0.5871, kappa: 0.2525, kb_relative_information_score: 306, mean_absolute_error: 0.3738, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.7032, predictive_accuracy: 0.6262, prior_entropy: 1, recall: 0.6262, relative_absolute_error: 0.7475, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6114, root_relative_squared_error: 1.2227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5256, f_measure: 0.5216, kappa: 0.0512, kb_relative_information_score: 62, mean_absolute_error: 0.4744, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5265, predictive_accuracy: 0.5256, prior_entropy: 1, recall: 0.5256, relative_absolute_error: 0.9488, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6888, root_relative_squared_error: 1.3776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5124, f_measure: 0.5124, kappa: 0.0248, kb_relative_information_score: 30, mean_absolute_error: 0.4876, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5124, predictive_accuracy: 0.5124, prior_entropy: 1, recall: 0.5124, relative_absolute_error: 0.9752, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6983, root_relative_squared_error: 1.3966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4967, f_measure: 0.4295, kappa: -0.0066, kb_relative_information_score: -8, mean_absolute_error: 0.5033, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4938, predictive_accuracy: 0.4967, prior_entropy: 1, recall: 0.4967, relative_absolute_error: 1.0066, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7094, root_relative_squared_error: 1.4189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7178, f_measure: 0.7051, kappa: 0.4356, kb_relative_information_score: 528, mean_absolute_error: 0.2822, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.7634, predictive_accuracy: 0.7178, prior_entropy: 1, recall: 0.7178, relative_absolute_error: 0.5644, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5312, root_relative_squared_error: 1.0624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5173, f_measure: 0.4421, kappa: 0.0347, kb_relative_information_score: 42, mean_absolute_error: 0.4827, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5376, predictive_accuracy: 0.5173, prior_entropy: 1, recall: 0.5173, relative_absolute_error: 0.9653, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6947, root_relative_squared_error: 1.3895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4612, f_measure: 0.4611, kappa: -0.0776, kb_relative_information_score: -94, mean_absolute_error: 0.5388, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4612, predictive_accuracy: 0.4612, prior_entropy: 1, recall: 0.4612, relative_absolute_error: 1.0776, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.734, root_relative_squared_error: 1.468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6625, f_measure: 0.6324, kappa: 0.3251, kb_relative_information_score: 394, mean_absolute_error: 0.3375, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.7418, predictive_accuracy: 0.6625, prior_entropy: 1, recall: 0.6625, relative_absolute_error: 0.6749, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5809, root_relative_squared_error: 1.1618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4934, f_measure: 0.4686, kappa: -0.0132, kb_relative_information_score: -16, mean_absolute_error: 0.5066, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4919, predictive_accuracy: 0.4934, prior_entropy: 1, recall: 0.4934, relative_absolute_error: 1.0132, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7118, root_relative_squared_error: 1.4235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5107, f_measure: 0.5105, kappa: 0.0215, kb_relative_information_score: 26, mean_absolute_error: 0.4893, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5107, predictive_accuracy: 0.5107, prior_entropy: 1, recall: 0.5107, relative_absolute_error: 0.9785, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6995, root_relative_squared_error: 1.399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.514, f_measure: 0.514, kappa: 0.0281, kb_relative_information_score: 34, mean_absolute_error: 0.486, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.514, predictive_accuracy: 0.514, prior_entropy: 1, recall: 0.514, relative_absolute_error: 0.9719, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6971, root_relative_squared_error: 1.3942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4744, f_measure: 0.4744, kappa: -0.0512, kb_relative_information_score: -62, mean_absolute_error: 0.5256, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4744, predictive_accuracy: 0.4744, prior_entropy: 1, recall: 0.4744, relative_absolute_error: 1.0512, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.725, root_relative_squared_error: 1.4499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4653, f_measure: 0.4653, kappa: -0.0693, kb_relative_information_score: -84, mean_absolute_error: 0.5347, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4653, predictive_accuracy: 0.4653, prior_entropy: 1, recall: 0.4653, relative_absolute_error: 1.0693, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7312, root_relative_squared_error: 1.4624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5635, f_measure: 0.5426, kappa: 0.1271, kb_relative_information_score: 154, mean_absolute_error: 0.4365, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5777, predictive_accuracy: 0.5635, prior_entropy: 1, recall: 0.5635, relative_absolute_error: 0.8729, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6607, root_relative_squared_error: 1.3213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4769, f_measure: 0.4769, kappa: -0.0462, kb_relative_information_score: -56, mean_absolute_error: 0.5231, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4769, predictive_accuracy: 0.4769, prior_entropy: 1, recall: 0.4769, relative_absolute_error: 1.0462, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7233, root_relative_squared_error: 1.4465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4662, f_measure: 0.4662, kappa: -0.0677, kb_relative_information_score: -82, mean_absolute_error: 0.5338, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4662, predictive_accuracy: 0.4662, prior_entropy: 1, recall: 0.4662, relative_absolute_error: 1.0677, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7306, root_relative_squared_error: 1.4613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7145, f_measure: 0.6989, kappa: 0.429, kb_relative_information_score: 520, mean_absolute_error: 0.2855, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.7707, predictive_accuracy: 0.7145, prior_entropy: 1, recall: 0.7145, relative_absolute_error: 0.571, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5343, root_relative_squared_error: 1.0686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4686, f_measure: 0.4686, kappa: -0.0627, kb_relative_information_score: -76, mean_absolute_error: 0.5314, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4686, predictive_accuracy: 0.4686, prior_entropy: 1, recall: 0.4686, relative_absolute_error: 1.0627, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7289, root_relative_squared_error: 1.4579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4752, f_measure: 0.4752, kappa: -0.0495, kb_relative_information_score: -60, mean_absolute_error: 0.5248, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4752, predictive_accuracy: 0.4752, prior_entropy: 1, recall: 0.4752, relative_absolute_error: 1.0495, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7244, root_relative_squared_error: 1.4488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5157, f_measure: 0.4354, kappa: 0.0314, kb_relative_information_score: 38, mean_absolute_error: 0.4843, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5363, predictive_accuracy: 0.5157, prior_entropy: 1, recall: 0.5157, relative_absolute_error: 0.9686, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6959, root_relative_squared_error: 1.3919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5355, f_measure: 0.5129, kappa: 0.071, kb_relative_information_score: 86, mean_absolute_error: 0.4645, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5436, predictive_accuracy: 0.5355, prior_entropy: 1, recall: 0.5355, relative_absolute_error: 0.929, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6816, root_relative_squared_error: 1.3631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4777, f_measure: 0.4424, kappa: -0.0446, kb_relative_information_score: -54, mean_absolute_error: 0.5223, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4702, predictive_accuracy: 0.4777, prior_entropy: 1, recall: 0.4777, relative_absolute_error: 1.0446, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7227, root_relative_squared_error: 1.4454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4686, f_measure: 0.4528, kappa: -0.0627, kb_relative_information_score: -76, mean_absolute_error: 0.5314, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4646, predictive_accuracy: 0.4686, prior_entropy: 1, recall: 0.4686, relative_absolute_error: 1.0627, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7289, root_relative_squared_error: 1.4579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4876, f_measure: 0.4876, kappa: -0.0248, kb_relative_information_score: -30, mean_absolute_error: 0.5124, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4876, predictive_accuracy: 0.4876, prior_entropy: 1, recall: 0.4876, relative_absolute_error: 1.0248, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7158, root_relative_squared_error: 1.4316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5083, f_measure: 0.5081, kappa: 0.0165, kb_relative_information_score: 20, mean_absolute_error: 0.4917, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5083, predictive_accuracy: 0.5083, prior_entropy: 1, recall: 0.5083, relative_absolute_error: 0.9835, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7012, root_relative_squared_error: 1.4025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4909, f_measure: 0.4673, kappa: -0.0182, kb_relative_information_score: -22, mean_absolute_error: 0.5091, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.489, predictive_accuracy: 0.4909, prior_entropy: 1, recall: 0.4909, relative_absolute_error: 1.0182, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7135, root_relative_squared_error: 1.427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6081, f_measure: 0.5781, kappa: 0.2162, kb_relative_information_score: 262, mean_absolute_error: 0.3919, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.651, predictive_accuracy: 0.6081, prior_entropy: 1, recall: 0.6081, relative_absolute_error: 0.7838, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.626, root_relative_squared_error: 1.2521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5091, f_measure: 0.5091, kappa: 0.0182, kb_relative_information_score: 22, mean_absolute_error: 0.4909, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5091, predictive_accuracy: 0.5091, prior_entropy: 1, recall: 0.5091, relative_absolute_error: 0.9818, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7007, root_relative_squared_error: 1.4013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4904, kappa: -0.0116, kb_relative_information_score: -14, mean_absolute_error: 0.5058, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.494, predictive_accuracy: 0.4942, prior_entropy: 1, recall: 0.4942, relative_absolute_error: 1.0116, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7112, root_relative_squared_error: 1.4224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4587, f_measure: 0.4494, kappa: -0.0825, kb_relative_information_score: -100, mean_absolute_error: 0.5413, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4557, predictive_accuracy: 0.4587, prior_entropy: 1, recall: 0.4587, relative_absolute_error: 1.0825, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7357, root_relative_squared_error: 1.4714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6493, f_measure: 0.6135, kappa: 0.2987, kb_relative_information_score: 362, mean_absolute_error: 0.3507, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.7373, predictive_accuracy: 0.6493, prior_entropy: 1, recall: 0.6493, relative_absolute_error: 0.7013, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5922, root_relative_squared_error: 1.1843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4653, f_measure: 0.4653, kappa: -0.0693, kb_relative_information_score: -84, mean_absolute_error: 0.5347, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4653, predictive_accuracy: 0.4653, prior_entropy: 1, recall: 0.4653, relative_absolute_error: 1.0693, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7312, root_relative_squared_error: 1.4624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.547, f_measure: 0.5337, kappa: 0.0941, kb_relative_information_score: 114, mean_absolute_error: 0.453, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5531, predictive_accuracy: 0.547, prior_entropy: 1, recall: 0.547, relative_absolute_error: 0.9059, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.673, root_relative_squared_error: 1.3461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6724, f_measure: 0.6413, kappa: 0.3449, kb_relative_information_score: 418, mean_absolute_error: 0.3276, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.7641, predictive_accuracy: 0.6724, prior_entropy: 1, recall: 0.6724, relative_absolute_error: 0.6551, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5723, root_relative_squared_error: 1.1447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5008, f_measure: 0.4522, kappa: 0.0017, kb_relative_information_score: 2, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5013, predictive_accuracy: 0.5008, prior_entropy: 1, recall: 0.5008, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7065, root_relative_squared_error: 1.413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4909, f_measure: 0.4759, kappa: -0.0182, kb_relative_information_score: -22, mean_absolute_error: 0.5091, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4898, predictive_accuracy: 0.4909, prior_entropy: 1, recall: 0.4909, relative_absolute_error: 1.0182, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7135, root_relative_squared_error: 1.427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4802, f_measure: 0.4659, kappa: -0.0396, kb_relative_information_score: -48, mean_absolute_error: 0.5198, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4778, predictive_accuracy: 0.4802, prior_entropy: 1, recall: 0.4802, relative_absolute_error: 1.0396, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.721, root_relative_squared_error: 1.4419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5611, f_measure: 0.4657, kappa: 0.1221, kb_relative_information_score: 148, mean_absolute_error: 0.4389, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.7134, predictive_accuracy: 0.5611, prior_entropy: 1, recall: 0.5611, relative_absolute_error: 0.8779, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6625, root_relative_squared_error: 1.3251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5503, f_measure: 0.5232, kappa: 0.1007, kb_relative_information_score: 122, mean_absolute_error: 0.4497, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5651, predictive_accuracy: 0.5503, prior_entropy: 1, recall: 0.5503, relative_absolute_error: 0.8993, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6706, root_relative_squared_error: 1.3411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4851, f_measure: 0.4851, kappa: -0.0297, kb_relative_information_score: -36, mean_absolute_error: 0.5149, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4851, predictive_accuracy: 0.4851, prior_entropy: 1, recall: 0.4851, relative_absolute_error: 1.0297, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7175, root_relative_squared_error: 1.4351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5124, f_measure: 0.4497, kappa: 0.0248, kb_relative_information_score: 30, mean_absolute_error: 0.4876, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5227, predictive_accuracy: 0.5124, prior_entropy: 1, recall: 0.5124, relative_absolute_error: 0.9752, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6983, root_relative_squared_error: 1.3966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4769, f_measure: 0.4733, kappa: -0.0462, kb_relative_information_score: -56, mean_absolute_error: 0.5231, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4763, predictive_accuracy: 0.4769, prior_entropy: 1, recall: 0.4769, relative_absolute_error: 1.0462, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7233, root_relative_squared_error: 1.4465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4695, f_measure: 0.4694, kappa: -0.0611, kb_relative_information_score: -74, mean_absolute_error: 0.5305, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4695, predictive_accuracy: 0.4695, prior_entropy: 1, recall: 0.4695, relative_absolute_error: 1.0611, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7284, root_relative_squared_error: 1.4567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4983, f_measure: 0.4498, kappa: -0.0033, kb_relative_information_score: -4, mean_absolute_error: 0.5017, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4974, predictive_accuracy: 0.4983, prior_entropy: 1, recall: 0.4983, relative_absolute_error: 1.0033, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7083, root_relative_squared_error: 1.4165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4686, f_measure: 0.4686, kappa: -0.0627, kb_relative_information_score: -76, mean_absolute_error: 0.5314, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4686, predictive_accuracy: 0.4686, prior_entropy: 1, recall: 0.4686, relative_absolute_error: 1.0627, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7289, root_relative_squared_error: 1.4579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6823, f_measure: 0.6612, kappa: 0.3647, kb_relative_information_score: 442, mean_absolute_error: 0.3177, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.7431, predictive_accuracy: 0.6823, prior_entropy: 1, recall: 0.6823, relative_absolute_error: 0.6353, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5636, root_relative_squared_error: 1.1272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4695, f_measure: 0.4648, kappa: -0.0611, kb_relative_information_score: -74, mean_absolute_error: 0.5305, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4684, predictive_accuracy: 0.4695, prior_entropy: 1, recall: 0.4695, relative_absolute_error: 1.0611, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7284, root_relative_squared_error: 1.4567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4703, f_measure: 0.4702, kappa: -0.0594, kb_relative_information_score: -72, mean_absolute_error: 0.5297, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4703, predictive_accuracy: 0.4703, prior_entropy: 1, recall: 0.4703, relative_absolute_error: 1.0594, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7278, root_relative_squared_error: 1.4556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5965, f_measure: 0.5233, kappa: 0.1931, kb_relative_information_score: 234, mean_absolute_error: 0.4035, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.7503, predictive_accuracy: 0.5965, prior_entropy: 1, recall: 0.5965, relative_absolute_error: 0.8069, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6352, root_relative_squared_error: 1.2704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4959, f_measure: 0.4911, kappa: -0.0083, kb_relative_information_score: -10, mean_absolute_error: 0.5041, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4957, predictive_accuracy: 0.4959, prior_entropy: 1, recall: 0.4959, relative_absolute_error: 1.0083, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.71, root_relative_squared_error: 1.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.599, f_measure: 0.5273, kappa: 0.198, kb_relative_information_score: 240, mean_absolute_error: 0.401, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.7517, predictive_accuracy: 0.599, prior_entropy: 1, recall: 0.599, relative_absolute_error: 0.802, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6332, root_relative_squared_error: 1.2665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6576, f_measure: 0.6351, kappa: 0.3152, kb_relative_information_score: 382, mean_absolute_error: 0.3424, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.7092, predictive_accuracy: 0.6576, prior_entropy: 1, recall: 0.6576, relative_absolute_error: 0.6848, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5852, root_relative_squared_error: 1.1703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.637, f_measure: 0.6071, kappa: 0.2739, kb_relative_information_score: 332, mean_absolute_error: 0.363, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.6967, predictive_accuracy: 0.637, prior_entropy: 1, recall: 0.637, relative_absolute_error: 0.7261, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6025, root_relative_squared_error: 1.205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4686, f_measure: 0.4413, kappa: -0.0627, kb_relative_information_score: -76, mean_absolute_error: 0.5314, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.461, predictive_accuracy: 0.4686, prior_entropy: 1, recall: 0.4686, relative_absolute_error: 1.0627, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7289, root_relative_squared_error: 1.4579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5668, f_measure: 0.4767, kappa: 0.1337, kb_relative_information_score: 162, mean_absolute_error: 0.4332, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.7149, predictive_accuracy: 0.5668, prior_entropy: 1, recall: 0.5668, relative_absolute_error: 0.8663, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6582, root_relative_squared_error: 1.3163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5165, f_measure: 0.4483, kappa: 0.033, kb_relative_information_score: 40, mean_absolute_error: 0.4835, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5326, predictive_accuracy: 0.5165, prior_entropy: 1, recall: 0.5165, relative_absolute_error: 0.967, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6953, root_relative_squared_error: 1.3907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4703, f_measure: 0.4703, kappa: -0.0594, kb_relative_information_score: -72, mean_absolute_error: 0.5297, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4703, predictive_accuracy: 0.4703, prior_entropy: 1, recall: 0.4703, relative_absolute_error: 1.0594, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7278, root_relative_squared_error: 1.4556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4917, f_measure: 0.4344, kappa: -0.0165, kb_relative_information_score: -20, mean_absolute_error: 0.5083, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4861, predictive_accuracy: 0.4917, prior_entropy: 1, recall: 0.4917, relative_absolute_error: 1.0165, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7129, root_relative_squared_error: 1.4258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5553, f_measure: 0.5293, kappa: 0.1106, kb_relative_information_score: 134, mean_absolute_error: 0.4447, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.571, predictive_accuracy: 0.5553, prior_entropy: 1, recall: 0.5553, relative_absolute_error: 0.8894, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6669, root_relative_squared_error: 1.3337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4695, f_measure: 0.4694, kappa: -0.0611, kb_relative_information_score: -74, mean_absolute_error: 0.5305, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4695, predictive_accuracy: 0.4695, prior_entropy: 1, recall: 0.4695, relative_absolute_error: 1.0611, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7284, root_relative_squared_error: 1.4567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5066, f_measure: 0.4456, kappa: 0.0132, kb_relative_information_score: 16, mean_absolute_error: 0.4934, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5118, predictive_accuracy: 0.5066, prior_entropy: 1, recall: 0.5066, relative_absolute_error: 0.9868, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7024, root_relative_squared_error: 1.4048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5437, f_measure: 0.5345, kappa: 0.0875, kb_relative_information_score: 106, mean_absolute_error: 0.4563, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5475, predictive_accuracy: 0.5437, prior_entropy: 1, recall: 0.5437, relative_absolute_error: 0.9125, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6755, root_relative_squared_error: 1.351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6213, f_measure: 0.601, kappa: 0.2426, kb_relative_information_score: 294, mean_absolute_error: 0.3787, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.6522, predictive_accuracy: 0.6213, prior_entropy: 1, recall: 0.6213, relative_absolute_error: 0.7574, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6154, root_relative_squared_error: 1.2308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5083, f_measure: 0.4084, kappa: 0.0165, kb_relative_information_score: 20, mean_absolute_error: 0.4917, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5254, predictive_accuracy: 0.5083, prior_entropy: 1, recall: 0.5083, relative_absolute_error: 0.9835, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7012, root_relative_squared_error: 1.4025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.505, f_measure: 0.4736, kappa: 0.0099, kb_relative_information_score: 12, mean_absolute_error: 0.495, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5065, predictive_accuracy: 0.505, prior_entropy: 1, recall: 0.505, relative_absolute_error: 0.9901, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7036, root_relative_squared_error: 1.4072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5908, f_measure: 0.5154, kappa: 0.1815, kb_relative_information_score: 220, mean_absolute_error: 0.4092, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.7402, predictive_accuracy: 0.5908, prior_entropy: 1, recall: 0.5908, relative_absolute_error: 0.8185, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6397, root_relative_squared_error: 1.2794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5239, f_measure: 0.455, kappa: 0.0479, kb_relative_information_score: 58, mean_absolute_error: 0.4761, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5484, predictive_accuracy: 0.5239, prior_entropy: 1, recall: 0.5239, relative_absolute_error: 0.9521, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.69, root_relative_squared_error: 1.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5033, f_measure: 0.388, kappa: 0.0066, kb_relative_information_score: 8, mean_absolute_error: 0.4967, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5134, predictive_accuracy: 0.5033, prior_entropy: 1, recall: 0.5033, relative_absolute_error: 0.9934, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7048, root_relative_squared_error: 1.4095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5355, f_measure: 0.5114, kappa: 0.071, kb_relative_information_score: 86, mean_absolute_error: 0.4645, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5442, predictive_accuracy: 0.5355, prior_entropy: 1, recall: 0.5355, relative_absolute_error: 0.929, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6816, root_relative_squared_error: 1.3631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7318, f_measure: 0.7259, kappa: 0.4637, kb_relative_information_score: 562, mean_absolute_error: 0.2682, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.754, predictive_accuracy: 0.7318, prior_entropy: 1, recall: 0.7318, relative_absolute_error: 0.5363, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5178, root_relative_squared_error: 1.0357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4926, f_measure: 0.4886, kappa: -0.0149, kb_relative_information_score: -18, mean_absolute_error: 0.5074, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4923, predictive_accuracy: 0.4926, prior_entropy: 1, recall: 0.4926, relative_absolute_error: 1.0149, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7123, root_relative_squared_error: 1.4247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5652, f_measure: 0.5437, kappa: 0.1304, kb_relative_information_score: 158, mean_absolute_error: 0.4348, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5803, predictive_accuracy: 0.5652, prior_entropy: 1, recall: 0.5652, relative_absolute_error: 0.8696, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6594, root_relative_squared_error: 1.3188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4761, f_measure: 0.4652, kappa: -0.0479, kb_relative_information_score: -58, mean_absolute_error: 0.5239, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4739, predictive_accuracy: 0.4761, prior_entropy: 1, recall: 0.4761, relative_absolute_error: 1.0479, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7238, root_relative_squared_error: 1.4477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4711, f_measure: 0.4711, kappa: -0.0578, kb_relative_information_score: -70, mean_absolute_error: 0.5289, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4711, predictive_accuracy: 0.4711, prior_entropy: 1, recall: 0.4711, relative_absolute_error: 1.0578, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7272, root_relative_squared_error: 1.4545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5091, f_measure: 0.4209, kappa: 0.0182, kb_relative_information_score: 22, mean_absolute_error: 0.4909, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5232, predictive_accuracy: 0.5091, prior_entropy: 1, recall: 0.5091, relative_absolute_error: 0.9818, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7007, root_relative_squared_error: 1.4013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4711, f_measure: 0.4711, kappa: -0.0578, kb_relative_information_score: -70, mean_absolute_error: 0.5289, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4711, predictive_accuracy: 0.4711, prior_entropy: 1, recall: 0.4711, relative_absolute_error: 1.0578, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7272, root_relative_squared_error: 1.4545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.651, f_measure: 0.6202, kappa: 0.302, kb_relative_information_score: 366, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.7234, predictive_accuracy: 0.651, prior_entropy: 1, recall: 0.651, relative_absolute_error: 0.698, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5908, root_relative_squared_error: 1.1815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5825, f_measure: 0.5204, kappa: 0.165, kb_relative_information_score: 200, mean_absolute_error: 0.4175, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.6711, predictive_accuracy: 0.5825, prior_entropy: 1, recall: 0.5825, relative_absolute_error: 0.835, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6461, root_relative_squared_error: 1.2923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4959, f_measure: 0.4959, kappa: -0.0083, kb_relative_information_score: -10, mean_absolute_error: 0.5041, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4959, predictive_accuracy: 0.4959, prior_entropy: 1, recall: 0.4959, relative_absolute_error: 1.0083, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.71, root_relative_squared_error: 1.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.4516, kappa: -0.0017, kb_relative_information_score: -2, mean_absolute_error: 0.5008, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4987, predictive_accuracy: 0.4992, prior_entropy: 1, recall: 0.4992, relative_absolute_error: 1.0017, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7077, root_relative_squared_error: 1.4154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5528, f_measure: 0.5323, kappa: 0.1056, kb_relative_information_score: 128, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5641, predictive_accuracy: 0.5528, prior_entropy: 1, recall: 0.5528, relative_absolute_error: 0.8944, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6687, root_relative_squared_error: 1.3375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.495, f_measure: 0.4913, kappa: -0.0099, kb_relative_information_score: -12, mean_absolute_error: 0.505, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4949, predictive_accuracy: 0.495, prior_entropy: 1, recall: 0.495, relative_absolute_error: 1.0099, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7106, root_relative_squared_error: 1.4212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6931, f_measure: 0.6678, kappa: 0.3861, kb_relative_information_score: 468, mean_absolute_error: 0.3069, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.7773, predictive_accuracy: 0.6931, prior_entropy: 1, recall: 0.6931, relative_absolute_error: 0.6139, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.554, root_relative_squared_error: 1.108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7417, f_measure: 0.7271, kappa: 0.4835, kb_relative_information_score: 586, mean_absolute_error: 0.2583, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.808, predictive_accuracy: 0.7417, prior_entropy: 1, recall: 0.7417, relative_absolute_error: 0.5165, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5082, root_relative_squared_error: 1.0164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4905, kappa: -0.0116, kb_relative_information_score: -14, mean_absolute_error: 0.5058, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4941, predictive_accuracy: 0.4942, prior_entropy: 1, recall: 0.4942, relative_absolute_error: 1.0116, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7112, root_relative_squared_error: 1.4224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4719, f_measure: 0.4481, kappa: -0.0561, kb_relative_information_score: -68, mean_absolute_error: 0.5281, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4661, predictive_accuracy: 0.4719, prior_entropy: 1, recall: 0.4719, relative_absolute_error: 1.0561, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7267, root_relative_squared_error: 1.4533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4777, f_measure: 0.4776, kappa: -0.0446, kb_relative_information_score: -54, mean_absolute_error: 0.5223, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4777, predictive_accuracy: 0.4777, prior_entropy: 1, recall: 0.4777, relative_absolute_error: 1.0446, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7227, root_relative_squared_error: 1.4454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4967, f_measure: 0.4515, kappa: -0.0066, kb_relative_information_score: -8, mean_absolute_error: 0.5033, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4951, predictive_accuracy: 0.4967, prior_entropy: 1, recall: 0.4967, relative_absolute_error: 1.0066, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7094, root_relative_squared_error: 1.4189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6172, f_measure: 0.5688, kappa: 0.2343, kb_relative_information_score: 284, mean_absolute_error: 0.3828, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.7126, predictive_accuracy: 0.6172, prior_entropy: 1, recall: 0.6172, relative_absolute_error: 0.7657, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6187, root_relative_squared_error: 1.2375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6691, f_measure: 0.6333, kappa: 0.3383, kb_relative_information_score: 410, mean_absolute_error: 0.3309, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.7778, predictive_accuracy: 0.6691, prior_entropy: 1, recall: 0.6691, relative_absolute_error: 0.6617, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5752, root_relative_squared_error: 1.1504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4637, f_measure: 0.4636, kappa: -0.0726, kb_relative_information_score: -88, mean_absolute_error: 0.5363, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4637, predictive_accuracy: 0.4637, prior_entropy: 1, recall: 0.4637, relative_absolute_error: 1.0726, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7323, root_relative_squared_error: 1.4647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4802, f_measure: 0.4802, kappa: -0.0396, kb_relative_information_score: -48, mean_absolute_error: 0.5198, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4802, predictive_accuracy: 0.4802, prior_entropy: 1, recall: 0.4802, relative_absolute_error: 1.0396, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.721, root_relative_squared_error: 1.4419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5751, f_measure: 0.4917, kappa: 0.1502, kb_relative_information_score: 182, mean_absolute_error: 0.4249, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.7186, predictive_accuracy: 0.5751, prior_entropy: 1, recall: 0.5751, relative_absolute_error: 0.8498, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6519, root_relative_squared_error: 1.3037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5091, f_measure: 0.4302, kappa: 0.0182, kb_relative_information_score: 22, mean_absolute_error: 0.4909, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5203, predictive_accuracy: 0.5091, prior_entropy: 1, recall: 0.5091, relative_absolute_error: 0.9818, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7007, root_relative_squared_error: 1.4013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5091, f_measure: 0.4481, kappa: 0.0182, kb_relative_information_score: 22, mean_absolute_error: 0.4909, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5163, predictive_accuracy: 0.5091, prior_entropy: 1, recall: 0.5091, relative_absolute_error: 0.9818, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7007, root_relative_squared_error: 1.4013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6881, f_measure: 0.6689, kappa: 0.3762, kb_relative_information_score: 456, mean_absolute_error: 0.3119, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.745, predictive_accuracy: 0.6881, prior_entropy: 1, recall: 0.6881, relative_absolute_error: 0.6238, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5585, root_relative_squared_error: 1.1169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5157, f_measure: 0.447, kappa: 0.0314, kb_relative_information_score: 38, mean_absolute_error: 0.4843, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5311, predictive_accuracy: 0.5157, prior_entropy: 1, recall: 0.5157, relative_absolute_error: 0.9686, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6959, root_relative_squared_error: 1.3919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5883, f_measure: 0.5631, kappa: 0.1766, kb_relative_information_score: 214, mean_absolute_error: 0.4117, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.6147, predictive_accuracy: 0.5883, prior_entropy: 1, recall: 0.5883, relative_absolute_error: 0.8234, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6417, root_relative_squared_error: 1.2833,

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