OpenML
Supervised Classification on hill-valley

Supervised Classification on hill-valley

Task 9970 Supervised Classification hill-valley 88527 runs submitted
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  • OpenML100 study_107 study_123 study_14 study_50 study_7
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.462, f_measure: 0.446, kappa: -0.0759, kb_relative_information_score: -92, mean_absolute_error: 0.538, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4571, predictive_accuracy: 0.462, prior_entropy: 1, recall: 0.462, relative_absolute_error: 1.0759, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7335, root_relative_squared_error: 1.4669,
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: 0.5635, f_measure: 0.4701, kappa: 0.1271, kb_relative_information_score: 154, mean_absolute_error: 0.4365, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.7157, 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: 0.467, f_measure: 0.4669, kappa: -0.066, kb_relative_information_score: -80, mean_absolute_error: 0.533, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.467, predictive_accuracy: 0.467, prior_entropy: 1, recall: 0.467, relative_absolute_error: 1.066, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7301, root_relative_squared_error: 1.4601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4934, f_measure: 0.4895, kappa: -0.0132, kb_relative_information_score: -16, mean_absolute_error: 0.5066, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4932, 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: 0.6625, f_measure: 0.6346, kappa: 0.3251, kb_relative_information_score: 394, mean_absolute_error: 0.3375, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.7341, 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: 0.4703, f_measure: 0.4631, kappa: -0.0594, kb_relative_information_score: -72, mean_absolute_error: 0.5297, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4686, 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: 0.4785, f_measure: 0.4785, kappa: -0.0429, kb_relative_information_score: -52, mean_absolute_error: 0.5215, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4785, predictive_accuracy: 0.4785, prior_entropy: 1, recall: 0.4785, relative_absolute_error: 1.0429, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7221, root_relative_squared_error: 1.4442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.467, f_measure: 0.4659, kappa: -0.066, kb_relative_information_score: -80, mean_absolute_error: 0.533, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4667, predictive_accuracy: 0.467, prior_entropy: 1, recall: 0.467, relative_absolute_error: 1.066, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7301, root_relative_squared_error: 1.4601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5503, f_measure: 0.5208, kappa: 0.1007, kb_relative_information_score: 122, mean_absolute_error: 0.4497, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5668, 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: 0.486, f_measure: 0.4755, kappa: -0.0281, kb_relative_information_score: -34, mean_absolute_error: 0.514, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4848, predictive_accuracy: 0.486, prior_entropy: 1, recall: 0.486, relative_absolute_error: 1.0281, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.717, root_relative_squared_error: 1.4339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5602, f_measure: 0.5325, kappa: 0.1205, kb_relative_information_score: 146, mean_absolute_error: 0.4398, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5789, predictive_accuracy: 0.5602, prior_entropy: 1, recall: 0.5602, relative_absolute_error: 0.8795, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6632, root_relative_squared_error: 1.3263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.467, f_measure: 0.4669, kappa: -0.066, kb_relative_information_score: -80, mean_absolute_error: 0.533, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.467, predictive_accuracy: 0.467, prior_entropy: 1, recall: 0.467, relative_absolute_error: 1.066, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7301, root_relative_squared_error: 1.4601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5602, f_measure: 0.508, kappa: 0.1205, kb_relative_information_score: 146, mean_absolute_error: 0.4398, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.6047, predictive_accuracy: 0.5602, prior_entropy: 1, recall: 0.5602, relative_absolute_error: 0.8795, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6632, root_relative_squared_error: 1.3263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4686, f_measure: 0.4575, kappa: -0.0627, kb_relative_information_score: -76, mean_absolute_error: 0.5314, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4658, 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: 0.4992, f_measure: 0.4991, kappa: -0.0017, kb_relative_information_score: -2, mean_absolute_error: 0.5008, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4992, 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: 0.5025, f_measure: 0.3886, kappa: 0.005, kb_relative_information_score: 6, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5097, predictive_accuracy: 0.5025, prior_entropy: 1, recall: 0.5025, relative_absolute_error: 0.995, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7054, root_relative_squared_error: 1.4107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5619, f_measure: 0.4915, kappa: 0.1238, kb_relative_information_score: 150, mean_absolute_error: 0.4381, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.6387, predictive_accuracy: 0.5619, prior_entropy: 1, recall: 0.5619, relative_absolute_error: 0.8762, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6619, root_relative_squared_error: 1.3238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4662, f_measure: 0.4573, kappa: -0.0677, kb_relative_information_score: -82, mean_absolute_error: 0.5338, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4638, 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: 0.5223, f_measure: 0.5166, kappa: 0.0446, kb_relative_information_score: 54, mean_absolute_error: 0.4777, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5234, predictive_accuracy: 0.5223, prior_entropy: 1, recall: 0.5223, relative_absolute_error: 0.9554, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6912, root_relative_squared_error: 1.3823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4934, f_measure: 0.4873, kappa: -0.0132, kb_relative_information_score: -16, mean_absolute_error: 0.5066, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4931, 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: 0.5454, f_measure: 0.5151, kappa: 0.0908, kb_relative_information_score: 110, mean_absolute_error: 0.4546, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5605, predictive_accuracy: 0.5454, prior_entropy: 1, recall: 0.5454, relative_absolute_error: 0.9092, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6743, root_relative_squared_error: 1.3485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.467, f_measure: 0.467, kappa: -0.066, kb_relative_information_score: -80, mean_absolute_error: 0.533, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.467, predictive_accuracy: 0.467, prior_entropy: 1, recall: 0.467, relative_absolute_error: 1.066, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7301, root_relative_squared_error: 1.4601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5173, f_measure: 0.4946, kappa: 0.0347, kb_relative_information_score: 42, mean_absolute_error: 0.4827, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5211, 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: 0.6931, f_measure: 0.6733, kappa: 0.3861, kb_relative_information_score: 468, mean_absolute_error: 0.3069, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.7546, 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: 0.4942, f_measure: 0.4942, kappa: -0.0116, kb_relative_information_score: -14, mean_absolute_error: 0.5058, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4942, 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: 0.495, f_measure: 0.495, kappa: -0.0099, kb_relative_information_score: -12, mean_absolute_error: 0.505, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.495, 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: 0.4719, f_measure: 0.4717, kappa: -0.0561, kb_relative_information_score: -68, mean_absolute_error: 0.5281, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4719, 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: 0.6469, f_measure: 0.6301, kappa: 0.2937, kb_relative_information_score: 356, mean_absolute_error: 0.3531, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.6794, predictive_accuracy: 0.6469, prior_entropy: 1, recall: 0.6469, relative_absolute_error: 0.7063, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5943, root_relative_squared_error: 1.1885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.467, f_measure: 0.4596, kappa: -0.066, kb_relative_information_score: -80, mean_absolute_error: 0.533, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4651, predictive_accuracy: 0.467, prior_entropy: 1, recall: 0.467, relative_absolute_error: 1.066, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7301, root_relative_squared_error: 1.4601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5008, f_measure: 0.4516, 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: 0.6592, f_measure: 0.6352, kappa: 0.3185, kb_relative_information_score: 386, mean_absolute_error: 0.3408, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.7162, predictive_accuracy: 0.6592, prior_entropy: 1, recall: 0.6592, relative_absolute_error: 0.6815, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5837, root_relative_squared_error: 1.1675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5718, f_measure: 0.4877, kappa: 0.1436, kb_relative_information_score: 174, mean_absolute_error: 0.4282, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.709, predictive_accuracy: 0.5718, prior_entropy: 1, recall: 0.5718, relative_absolute_error: 0.8564, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6544, root_relative_squared_error: 1.3088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4917, f_measure: 0.4552, kappa: -0.0165, kb_relative_information_score: -20, mean_absolute_error: 0.5083, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4887, 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: 0.6353, f_measure: 0.585, kappa: 0.2706, kb_relative_information_score: 328, mean_absolute_error: 0.3647, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.7627, predictive_accuracy: 0.6353, prior_entropy: 1, recall: 0.6353, relative_absolute_error: 0.7294, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6039, root_relative_squared_error: 1.2078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5578, f_measure: 0.4878, kappa: 0.1155, kb_relative_information_score: 140, mean_absolute_error: 0.4422, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.6274, predictive_accuracy: 0.5578, prior_entropy: 1, recall: 0.5578, relative_absolute_error: 0.8845, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.665, root_relative_squared_error: 1.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4983, f_measure: 0.4284, kappa: -0.0033, kb_relative_information_score: -4, mean_absolute_error: 0.5017, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4968, 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: 0.4629, f_measure: 0.4433, kappa: -0.0743, kb_relative_information_score: -90, mean_absolute_error: 0.5371, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4568, predictive_accuracy: 0.4629, prior_entropy: 1, recall: 0.4629, relative_absolute_error: 1.0743, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7329, root_relative_squared_error: 1.4658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.514, f_measure: 0.431, kappa: 0.0281, kb_relative_information_score: 34, mean_absolute_error: 0.486, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5337, 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: 0.6906, f_measure: 0.6653, kappa: 0.3812, kb_relative_information_score: 462, mean_absolute_error: 0.3094, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.773, predictive_accuracy: 0.6906, prior_entropy: 1, recall: 0.6906, relative_absolute_error: 0.6188, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5562, root_relative_squared_error: 1.1125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5726, f_measure: 0.5478, kappa: 0.1452, kb_relative_information_score: 176, mean_absolute_error: 0.4274, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.593, predictive_accuracy: 0.5726, prior_entropy: 1, recall: 0.5726, relative_absolute_error: 0.8548, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6538, root_relative_squared_error: 1.3075,
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: 0.4802, 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: 0.519, f_measure: 0.453, kappa: 0.038, kb_relative_information_score: 46, mean_absolute_error: 0.481, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5367, predictive_accuracy: 0.519, prior_entropy: 1, recall: 0.519, relative_absolute_error: 0.962, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6936, root_relative_squared_error: 1.3871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4934, f_measure: 0.4895, kappa: -0.0132, kb_relative_information_score: -16, mean_absolute_error: 0.5066, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4932, 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: 0.4934, f_measure: 0.4934, kappa: -0.0132, kb_relative_information_score: -16, mean_absolute_error: 0.5066, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4934, 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: 0.6337, f_measure: 0.5847, kappa: 0.2673, kb_relative_information_score: 324, mean_absolute_error: 0.3663, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.7528, predictive_accuracy: 0.6337, prior_entropy: 1, recall: 0.6337, relative_absolute_error: 0.7327, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6053, root_relative_squared_error: 1.2105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5116, f_measure: 0.447, kappa: 0.0231, kb_relative_information_score: 28, mean_absolute_error: 0.4884, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5217, predictive_accuracy: 0.5116, prior_entropy: 1, recall: 0.5116, relative_absolute_error: 0.9769, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6989, root_relative_squared_error: 1.3978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5495, f_measure: 0.445, kappa: 0.099, kb_relative_information_score: 120, mean_absolute_error: 0.4505, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.7008, predictive_accuracy: 0.5495, prior_entropy: 1, recall: 0.5495, relative_absolute_error: 0.901, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6712, root_relative_squared_error: 1.3424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5644, f_measure: 0.4715, kappa: 0.1287, kb_relative_information_score: 156, mean_absolute_error: 0.4356, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.7165, predictive_accuracy: 0.5644, prior_entropy: 1, recall: 0.5644, relative_absolute_error: 0.8713, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.66, root_relative_squared_error: 1.3201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7063, f_measure: 0.6907, kappa: 0.4125, kb_relative_information_score: 500, mean_absolute_error: 0.2937, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.7583, predictive_accuracy: 0.7063, prior_entropy: 1, recall: 0.7063, relative_absolute_error: 0.5875, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.542, root_relative_squared_error: 1.0839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.717, f_measure: 0.6987, kappa: 0.434, kb_relative_information_score: 526, mean_absolute_error: 0.283, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.7868, predictive_accuracy: 0.717, prior_entropy: 1, recall: 0.717, relative_absolute_error: 0.566, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.532, root_relative_squared_error: 1.064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.4259, kappa: -0.0017, kb_relative_information_score: -2, mean_absolute_error: 0.5008, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4983, 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: 0.4893, f_measure: 0.466, kappa: -0.0215, kb_relative_information_score: -26, mean_absolute_error: 0.5107, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.487, predictive_accuracy: 0.4893, prior_entropy: 1, recall: 0.4893, relative_absolute_error: 1.0215, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7147, root_relative_squared_error: 1.4293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4736, f_measure: 0.4733, kappa: -0.0528, kb_relative_information_score: -64, mean_absolute_error: 0.5264, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4735, predictive_accuracy: 0.4736, prior_entropy: 1, recall: 0.4736, relative_absolute_error: 1.0528, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7255, root_relative_squared_error: 1.4511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5957, f_measure: 0.5227, kappa: 0.1914, kb_relative_information_score: 232, mean_absolute_error: 0.4043, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.7465, predictive_accuracy: 0.5957, prior_entropy: 1, recall: 0.5957, relative_absolute_error: 0.8086, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6358, root_relative_squared_error: 1.2717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4686, f_measure: 0.4651, kappa: -0.0627, kb_relative_information_score: -76, mean_absolute_error: 0.5314, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4678, 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: 0.5116, f_measure: 0.5115, kappa: 0.0231, kb_relative_information_score: 28, mean_absolute_error: 0.4884, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5116, predictive_accuracy: 0.5116, prior_entropy: 1, recall: 0.5116, relative_absolute_error: 0.9769, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6989, root_relative_squared_error: 1.3978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5025, f_measure: 0.3876, kappa: 0.005, kb_relative_information_score: 6, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5099, predictive_accuracy: 0.5025, prior_entropy: 1, recall: 0.5025, relative_absolute_error: 0.995, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7054, root_relative_squared_error: 1.4107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6551, f_measure: 0.6257, kappa: 0.3102, kb_relative_information_score: 376, mean_absolute_error: 0.3449, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.7264, predictive_accuracy: 0.6551, prior_entropy: 1, recall: 0.6551, relative_absolute_error: 0.6898, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5873, root_relative_squared_error: 1.1745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7021, f_measure: 0.6781, kappa: 0.4043, kb_relative_information_score: 490, mean_absolute_error: 0.2979, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.7881, predictive_accuracy: 0.7021, prior_entropy: 1, recall: 0.7021, relative_absolute_error: 0.5957, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5458, root_relative_squared_error: 1.0915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4926, f_measure: 0.4414, kappa: -0.0149, kb_relative_information_score: -18, mean_absolute_error: 0.5074, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4883, 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: 0.604, f_measure: 0.5679, kappa: 0.2079, kb_relative_information_score: 252, mean_absolute_error: 0.396, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.656, predictive_accuracy: 0.604, prior_entropy: 1, recall: 0.604, relative_absolute_error: 0.7921, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6293, root_relative_squared_error: 1.2586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7145, f_measure: 0.701, kappa: 0.429, kb_relative_information_score: 520, mean_absolute_error: 0.2855, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.762, 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: 0.6807, f_measure: 0.6511, kappa: 0.3614, kb_relative_information_score: 438, mean_absolute_error: 0.3193, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.7735, predictive_accuracy: 0.6807, prior_entropy: 1, recall: 0.6807, relative_absolute_error: 0.6386, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5651, root_relative_squared_error: 1.1301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4909, f_measure: 0.4483, kappa: -0.0182, kb_relative_information_score: -22, mean_absolute_error: 0.5091, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4869, 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: 0.4934, f_measure: 0.4889, kappa: -0.0132, kb_relative_information_score: -16, mean_absolute_error: 0.5066, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4932, 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: 0.4662, f_measure: 0.4661, 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: 0.4959, f_measure: 0.4923, kappa: -0.0083, kb_relative_information_score: -10, mean_absolute_error: 0.5041, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4958, 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: 0.4703, 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: 0.4909, f_measure: 0.4477, kappa: -0.0182, kb_relative_information_score: -22, mean_absolute_error: 0.5091, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4868, 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: 0.5289, f_measure: 0.5226, kappa: 0.0578, kb_relative_information_score: 70, mean_absolute_error: 0.4711, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5305, predictive_accuracy: 0.5289, prior_entropy: 1, recall: 0.5289, relative_absolute_error: 0.9422, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6864, root_relative_squared_error: 1.3728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7252, f_measure: 0.7072, kappa: 0.4505, kb_relative_information_score: 546, mean_absolute_error: 0.2748, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.799, predictive_accuracy: 0.7252, prior_entropy: 1, recall: 0.7252, relative_absolute_error: 0.5495, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5242, root_relative_squared_error: 1.0483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4645, f_measure: 0.4644, kappa: -0.071, kb_relative_information_score: -86, mean_absolute_error: 0.5355, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4645, predictive_accuracy: 0.4645, prior_entropy: 1, recall: 0.4645, relative_absolute_error: 1.071, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7318, root_relative_squared_error: 1.4635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5388, f_measure: 0.4482, kappa: 0.0776, kb_relative_information_score: 94, mean_absolute_error: 0.4612, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.6129, predictive_accuracy: 0.5388, prior_entropy: 1, recall: 0.5388, relative_absolute_error: 0.9224, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6791, root_relative_squared_error: 1.3583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5396, f_measure: 0.5195, kappa: 0.0792, kb_relative_information_score: 96, mean_absolute_error: 0.4604, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5476, predictive_accuracy: 0.5396, prior_entropy: 1, recall: 0.5396, relative_absolute_error: 0.9208, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6785, root_relative_squared_error: 1.357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5974, f_measure: 0.5247, kappa: 0.1947, kb_relative_information_score: 236, mean_absolute_error: 0.4026, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.7508, predictive_accuracy: 0.5974, prior_entropy: 1, recall: 0.5974, relative_absolute_error: 0.8053, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6345, root_relative_squared_error: 1.2691,
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: 0.5272, f_measure: 0.5237, kappa: 0.0545, kb_relative_information_score: 66, mean_absolute_error: 0.4728, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5281, predictive_accuracy: 0.5272, prior_entropy: 1, recall: 0.5272, relative_absolute_error: 0.9455, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6876, root_relative_squared_error: 1.3752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5314, f_measure: 0.5012, kappa: 0.0627, kb_relative_information_score: 76, mean_absolute_error: 0.4686, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5414, predictive_accuracy: 0.5314, prior_entropy: 1, recall: 0.5314, relative_absolute_error: 0.9373, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6846, root_relative_squared_error: 1.3692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5264, f_measure: 0.5264, kappa: 0.0528, kb_relative_information_score: 64, mean_absolute_error: 0.4736, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5264, predictive_accuracy: 0.5264, prior_entropy: 1, recall: 0.5264, relative_absolute_error: 0.9472, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6882, root_relative_squared_error: 1.3764,
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: 0.5149, f_measure: 0.4656, kappa: 0.0297, kb_relative_information_score: 36, mean_absolute_error: 0.4851, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5235, predictive_accuracy: 0.5149, prior_entropy: 1, recall: 0.5149, relative_absolute_error: 0.9703, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6965, root_relative_squared_error: 1.3931,
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: 0.4802, 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: 0.5545, f_measure: 0.5258, kappa: 0.1089, kb_relative_information_score: 132, mean_absolute_error: 0.4455, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5718, predictive_accuracy: 0.5545, prior_entropy: 1, recall: 0.5545, relative_absolute_error: 0.8911, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6675, root_relative_squared_error: 1.335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4711, f_measure: 0.442, kappa: -0.0578, kb_relative_information_score: -70, mean_absolute_error: 0.5289, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4635, 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: 0.4818, f_measure: 0.4818, kappa: -0.0363, kb_relative_information_score: -44, mean_absolute_error: 0.5182, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4818, predictive_accuracy: 0.4818, prior_entropy: 1, recall: 0.4818, relative_absolute_error: 1.0363, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7198, root_relative_squared_error: 1.4397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3691, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5157, f_measure: 0.4448, kappa: 0.0314, kb_relative_information_score: 38, mean_absolute_error: 0.4843, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.532, 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: 0.4901, f_measure: 0.4596, kappa: -0.0198, kb_relative_information_score: -24, mean_absolute_error: 0.5099, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4872, predictive_accuracy: 0.4901, prior_entropy: 1, recall: 0.4901, relative_absolute_error: 1.0198, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7141, root_relative_squared_error: 1.4281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6122, f_measure: 0.5803, kappa: 0.2244, kb_relative_information_score: 272, mean_absolute_error: 0.3878, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.6612, predictive_accuracy: 0.6122, prior_entropy: 1, recall: 0.6122, relative_absolute_error: 0.7756, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6227, root_relative_squared_error: 1.2455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6271, f_measure: 0.5728, kappa: 0.2541, kb_relative_information_score: 308, mean_absolute_error: 0.3729, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.7584, predictive_accuracy: 0.6271, prior_entropy: 1, recall: 0.6271, relative_absolute_error: 0.7459, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6107, root_relative_squared_error: 1.2214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6048, f_measure: 0.5366, kappa: 0.2096, kb_relative_information_score: 254, mean_absolute_error: 0.3952, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.7548, predictive_accuracy: 0.6048, prior_entropy: 1, recall: 0.6048, relative_absolute_error: 0.7904, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6287, root_relative_squared_error: 1.2573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4975, f_measure: 0.4975, kappa: -0.005, kb_relative_information_score: -6, mean_absolute_error: 0.5025, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4975, predictive_accuracy: 0.4975, prior_entropy: 1, recall: 0.4975, relative_absolute_error: 1.005, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7089, root_relative_squared_error: 1.4177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4777, f_measure: 0.4777, 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: 0.4926, 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: 0.4827, f_measure: 0.4825, kappa: -0.0347, kb_relative_information_score: -42, mean_absolute_error: 0.5173, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4826, predictive_accuracy: 0.4827, prior_entropy: 1, recall: 0.4827, relative_absolute_error: 1.0347, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7193, root_relative_squared_error: 1.4385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6196, f_measure: 0.5967, kappa: 0.2393, kb_relative_information_score: 290, mean_absolute_error: 0.3804, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.6549, predictive_accuracy: 0.6196, prior_entropy: 1, recall: 0.6196, relative_absolute_error: 0.7607, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6167, root_relative_squared_error: 1.2335,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs