OpenML
Supervised Classification on profb

Supervised Classification on profb

Task 3561 Supervised Classification profb 13173 runs submitted
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  • mythbusting_1 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 under100k under1m
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13173 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5019, kb_relative_information_score: -6.2713, mean_absolute_error: 0.4446, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4729, root_relative_squared_error: 1.0032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4411, kb_relative_information_score: 116.1955, mean_absolute_error: 0.3575, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.8042, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5414, root_relative_squared_error: 1.1485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4643, f_measure: 0.5171, kappa: -0.1184, kb_relative_information_score: -54.065, mean_absolute_error: 0.455, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.4938, predictive_accuracy: 0.5595, prior_entropy: 0.9188, recall: 0.5595, relative_absolute_error: 1.0233, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5147, root_relative_squared_error: 1.0918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.465, f_measure: 0.516, kappa: -0.1187, kb_relative_information_score: -49.7311, mean_absolute_error: 0.4527, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.488, predictive_accuracy: 0.5699, prior_entropy: 0.9188, recall: 0.5699, relative_absolute_error: 1.0181, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5092, root_relative_squared_error: 1.0801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, f_measure: 0.5283, kappa: -0.0206, kb_relative_information_score: -3.785, mean_absolute_error: 0.4435, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.4421, predictive_accuracy: 0.6563, prior_entropy: 0.9188, recall: 0.6563, relative_absolute_error: 0.9975, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4723, root_relative_squared_error: 1.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4892, kb_relative_information_score: -0.001, mean_absolute_error: 0.4445, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5459, kb_relative_information_score: 0.0755, mean_absolute_error: 0.4439, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4709, root_relative_squared_error: 0.9989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.48, kb_relative_information_score: -3.5611, mean_absolute_error: 0.445, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4721, root_relative_squared_error: 1.0014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5241, f_measure: 0.5213, kappa: 0.0255, kb_relative_information_score: -103.3169, mean_absolute_error: 0.4855, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5686, predictive_accuracy: 0.5074, prior_entropy: 0.9188, recall: 0.5074, relative_absolute_error: 1.0919, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.519, root_relative_squared_error: 1.101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5439, kb_relative_information_score: 0.3004, mean_absolute_error: 0.4406, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9909, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4697, root_relative_squared_error: 0.9965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4405, kb_relative_information_score: 104.2986, mean_absolute_error: 0.3677, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.827, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5287, root_relative_squared_error: 1.1216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4865, f_measure: 0.5352, kappa: -0.0146, kb_relative_information_score: -20.2249, mean_absolute_error: 0.4429, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5142, predictive_accuracy: 0.6548, prior_entropy: 0.9188, recall: 0.6548, relative_absolute_error: 0.9963, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4823, root_relative_squared_error: 1.0231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5252, f_measure: 0.5635, kappa: -0.0053, kb_relative_information_score: -15.139, mean_absolute_error: 0.4382, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5523, predictive_accuracy: 0.6205, prior_entropy: 0.9188, recall: 0.6205, relative_absolute_error: 0.9855, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4912, root_relative_squared_error: 1.0419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4788, f_measure: 0.5261, kappa: -0.0293, kb_relative_information_score: -25.6403, mean_absolute_error: 0.4469, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.4411, predictive_accuracy: 0.6518, prior_entropy: 0.9188, recall: 0.6518, relative_absolute_error: 1.005, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4851, root_relative_squared_error: 1.0292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4405, kb_relative_information_score: 105.1421, mean_absolute_error: 0.367, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.8254, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5296, root_relative_squared_error: 1.1234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4639, f_measure: 0.5446, kappa: -0.0405, kb_relative_information_score: -40.5747, mean_absolute_error: 0.4531, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5259, predictive_accuracy: 0.6176, prior_entropy: 0.9188, recall: 0.6176, relative_absolute_error: 1.0191, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.496, root_relative_squared_error: 1.0521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4861, f_measure: 0.5283, kappa: -0.0403, kb_relative_information_score: -24.2267, mean_absolute_error: 0.4452, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.4831, predictive_accuracy: 0.6414, prior_entropy: 0.9188, recall: 0.6414, relative_absolute_error: 1.0013, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4837, root_relative_squared_error: 1.0261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.525, f_measure: 0.5213, kappa: 0.0255, kb_relative_information_score: -101.5084, mean_absolute_error: 0.4844, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5686, predictive_accuracy: 0.5074, prior_entropy: 0.9188, recall: 0.5074, relative_absolute_error: 1.0895, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5193, root_relative_squared_error: 1.1016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5011, kappa: -0.0157, kb_relative_information_score: -122.8596, mean_absolute_error: 0.4946, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5475, predictive_accuracy: 0.4866, prior_entropy: 0.9188, recall: 0.4866, relative_absolute_error: 1.1125, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5153, root_relative_squared_error: 1.093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4857, f_measure: 0.4939, kappa: -0.0585, kb_relative_information_score: -122.5766, mean_absolute_error: 0.494, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5272, predictive_accuracy: 0.4792, prior_entropy: 0.9188, recall: 0.4792, relative_absolute_error: 1.1111, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5106, root_relative_squared_error: 1.0831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4417, kb_relative_information_score: 71.6181, mean_absolute_error: 0.3933, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.8845, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5032, root_relative_squared_error: 1.0674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4847, f_measure: 0.4966, kappa: -0.0567, kb_relative_information_score: -122.2006, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5282, predictive_accuracy: 0.4821, prior_entropy: 0.9188, recall: 0.4821, relative_absolute_error: 1.1106, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5101, root_relative_squared_error: 1.0822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4376, kb_relative_information_score: 113.1674, mean_absolute_error: 0.3601, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.81, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5378, root_relative_squared_error: 1.1408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.49, f_measure: 0.5209, kappa: -0.106, kb_relative_information_score: -47.4652, mean_absolute_error: 0.4514, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5056, predictive_accuracy: 0.5446, prior_entropy: 0.9188, recall: 0.5446, relative_absolute_error: 1.0154, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5542, root_relative_squared_error: 1.1757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4384, kb_relative_information_score: 141.134, mean_absolute_error: 0.335, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.7534, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5746, root_relative_squared_error: 1.219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4922, kb_relative_information_score: -1.2316, mean_absolute_error: 0.4446, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4715, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5149, f_measure: 0.529, kappa: -0.0177, kb_relative_information_score: -8.4573, mean_absolute_error: 0.44, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.4424, predictive_accuracy: 0.6577, prior_entropy: 0.9188, recall: 0.6577, relative_absolute_error: 0.9897, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4767, root_relative_squared_error: 1.0111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4362, kb_relative_information_score: 136.8112, mean_absolute_error: 0.339, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.7625, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5682, root_relative_squared_error: 1.2052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5208, f_measure: 0.5656, kb_relative_information_score: -17.5551, mean_absolute_error: 0.4403, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5556, predictive_accuracy: 0.6235, prior_entropy: 0.9188, recall: 0.6235, relative_absolute_error: 0.9903, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4902, root_relative_squared_error: 1.0399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.51, f_measure: 0.5111, kappa: 0.0078, kb_relative_information_score: -118.2512, mean_absolute_error: 0.4927, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5596, predictive_accuracy: 0.497, prior_entropy: 0.9188, recall: 0.497, relative_absolute_error: 1.1082, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5171, root_relative_squared_error: 1.0969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5216, f_measure: 0.5645, kappa: -0.0026, kb_relative_information_score: -17.2693, mean_absolute_error: 0.44, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5539, predictive_accuracy: 0.622, prior_entropy: 0.9188, recall: 0.622, relative_absolute_error: 0.9897, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4903, root_relative_squared_error: 1.0401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4366, kb_relative_information_score: 138.3461, mean_absolute_error: 0.3376, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.7593, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5704, root_relative_squared_error: 1.2099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5418, f_measure: 0.5802, kappa: 0.0277, kb_relative_information_score: -4.8235, mean_absolute_error: 0.4339, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5701, predictive_accuracy: 0.6176, prior_entropy: 0.9188, recall: 0.6176, relative_absolute_error: 0.9758, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4908, root_relative_squared_error: 1.041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4965, f_measure: 0.5612, kappa: 0.014, kb_relative_information_score: -20.0941, mean_absolute_error: 0.4441, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5702, predictive_accuracy: 0.6503, prior_entropy: 0.9188, recall: 0.6503, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4868, root_relative_squared_error: 1.0327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.52, f_measure: 0.5676, kappa: 0.0053, kb_relative_information_score: -17.9142, mean_absolute_error: 0.4406, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5589, predictive_accuracy: 0.6265, prior_entropy: 0.9188, recall: 0.6265, relative_absolute_error: 0.991, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4901, root_relative_squared_error: 1.0396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4675, f_measure: 0.5279, kappa: -0.0563, kb_relative_information_score: -33.2814, mean_absolute_error: 0.4484, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.4901, predictive_accuracy: 0.628, prior_entropy: 0.9188, recall: 0.628, relative_absolute_error: 1.0086, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4888, root_relative_squared_error: 1.0369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4924, kb_relative_information_score: -2.1798, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5137, f_measure: 0.5666, kappa: 0.0053, kb_relative_information_score: -19.9572, mean_absolute_error: 0.4425, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5591, predictive_accuracy: 0.6295, prior_entropy: 0.9188, recall: 0.6295, relative_absolute_error: 0.9953, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4891, root_relative_squared_error: 1.0375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5055, f_measure: 0.511, kappa: 0.0098, kb_relative_information_score: -120.8006, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5606, predictive_accuracy: 0.497, prior_entropy: 0.9188, recall: 0.497, relative_absolute_error: 1.1107, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5164, root_relative_squared_error: 1.0954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5249, f_measure: 0.5635, kappa: -0.0053, kb_relative_information_score: -15.3312, mean_absolute_error: 0.4383, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5523, predictive_accuracy: 0.6205, prior_entropy: 0.9188, recall: 0.6205, relative_absolute_error: 0.9859, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4911, root_relative_squared_error: 1.0418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5245, f_measure: 0.5635, kappa: -0.0053, kb_relative_information_score: -15.5927, mean_absolute_error: 0.4386, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5523, predictive_accuracy: 0.6205, prior_entropy: 0.9188, recall: 0.6205, relative_absolute_error: 0.9864, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.491, root_relative_squared_error: 1.0415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5202, f_measure: 0.5169, kappa: 0.0176, kb_relative_information_score: -108.6426, mean_absolute_error: 0.4884, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5646, predictive_accuracy: 0.503, prior_entropy: 0.9188, recall: 0.503, relative_absolute_error: 1.0984, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5184, root_relative_squared_error: 1.0997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5251, f_measure: 0.5227, kappa: 0.0294, kb_relative_information_score: -101.2858, mean_absolute_error: 0.4843, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5706, predictive_accuracy: 0.5089, prior_entropy: 0.9188, recall: 0.5089, relative_absolute_error: 1.0892, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5193, root_relative_squared_error: 1.1017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4845, f_measure: 0.4966, kappa: -0.0567, kb_relative_information_score: -122.1138, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5282, predictive_accuracy: 0.4821, prior_entropy: 0.9188, recall: 0.4821, relative_absolute_error: 1.1105, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.51, root_relative_squared_error: 1.082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5234, f_measure: 0.5169, kappa: 0.0176, kb_relative_information_score: -104.4374, mean_absolute_error: 0.4861, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5646, predictive_accuracy: 0.503, prior_entropy: 0.9188, recall: 0.503, relative_absolute_error: 1.0933, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5189, root_relative_squared_error: 1.1007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4676, f_measure: 0.5327, kappa: -0.0175, kb_relative_information_score: -29.8667, mean_absolute_error: 0.4491, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.498, predictive_accuracy: 0.6548, prior_entropy: 0.9188, recall: 0.6548, relative_absolute_error: 1.0102, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4841, root_relative_squared_error: 1.027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4363, kb_relative_information_score: 137.8848, mean_absolute_error: 0.338, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.7603, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5697, root_relative_squared_error: 1.2085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.457, f_measure: 0.5432, kappa: 0.0029, kb_relative_information_score: 25.2344, mean_absolute_error: 0.4247, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5638, predictive_accuracy: 0.6607, prior_entropy: 0.9188, recall: 0.6607, relative_absolute_error: 0.9552, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4859, root_relative_squared_error: 1.0308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5241, f_measure: 0.5635, kappa: -0.0053, kb_relative_information_score: -15.8687, mean_absolute_error: 0.4388, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5523, predictive_accuracy: 0.6205, prior_entropy: 0.9188, recall: 0.6205, relative_absolute_error: 0.987, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4909, root_relative_squared_error: 1.0413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5246, f_measure: 0.5228, kappa: 0.0275, kb_relative_information_score: -102.3714, mean_absolute_error: 0.4849, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5696, predictive_accuracy: 0.5089, prior_entropy: 0.9188, recall: 0.5089, relative_absolute_error: 1.0906, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5192, root_relative_squared_error: 1.1013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.525, f_measure: 0.5227, kappa: 0.0294, kb_relative_information_score: -101.4401, mean_absolute_error: 0.4843, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5706, predictive_accuracy: 0.5089, prior_entropy: 0.9188, recall: 0.5089, relative_absolute_error: 1.0894, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5193, root_relative_squared_error: 1.1016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4845, f_measure: 0.4966, kappa: -0.0567, kb_relative_information_score: -122.1033, mean_absolute_error: 0.4937, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5282, predictive_accuracy: 0.4821, prior_entropy: 0.9188, recall: 0.4821, relative_absolute_error: 1.1105, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.51, root_relative_squared_error: 1.082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4523, f_measure: 0.5408, kb_relative_information_score: 36.9636, mean_absolute_error: 0.4177, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5556, predictive_accuracy: 0.6607, prior_entropy: 0.9188, recall: 0.6607, relative_absolute_error: 0.9394, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4882, root_relative_squared_error: 1.0357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4405, kb_relative_information_score: 74.5968, mean_absolute_error: 0.3911, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.8796, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5045, root_relative_squared_error: 1.0702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5174, f_measure: 0.5681, kappa: 0.008, kb_relative_information_score: -18.9512, mean_absolute_error: 0.4416, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5608, predictive_accuracy: 0.6295, prior_entropy: 0.9188, recall: 0.6295, relative_absolute_error: 0.9931, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4896, root_relative_squared_error: 1.0386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5103, f_measure: 0.5315, kappa: -0.0692, kb_relative_information_score: -28.5986, mean_absolute_error: 0.4373, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5245, predictive_accuracy: 0.5402, prior_entropy: 0.9188, recall: 0.5402, relative_absolute_error: 0.9837, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.596, root_relative_squared_error: 1.2644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4815, f_measure: 0.532, kappa: -0.0426, kb_relative_information_score: -27.7095, mean_absolute_error: 0.4466, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.4998, predictive_accuracy: 0.6354, prior_entropy: 0.9188, recall: 0.6354, relative_absolute_error: 1.0045, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4864, root_relative_squared_error: 1.0318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4564, f_measure: 0.5326, kappa: -0.003, kb_relative_information_score: -27.0878, mean_absolute_error: 0.4487, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.4441, predictive_accuracy: 0.6652, prior_entropy: 0.9188, recall: 0.6652, relative_absolute_error: 1.0092, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.482, root_relative_squared_error: 1.0224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5244, f_measure: 0.5635, kappa: -0.0053, kb_relative_information_score: -15.6261, mean_absolute_error: 0.4386, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5523, predictive_accuracy: 0.6205, prior_entropy: 0.9188, recall: 0.6205, relative_absolute_error: 0.9865, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.491, root_relative_squared_error: 1.0415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4429, kb_relative_information_score: 65.255, mean_absolute_error: 0.398, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.8951, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4995, root_relative_squared_error: 1.0596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5224, f_measure: 0.5184, kappa: 0.0196, kb_relative_information_score: -105.6484, mean_absolute_error: 0.4868, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5656, predictive_accuracy: 0.5045, prior_entropy: 0.9188, recall: 0.5045, relative_absolute_error: 1.0948, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5187, root_relative_squared_error: 1.1004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4449, kb_relative_information_score: 142.2574, mean_absolute_error: 0.3339, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.751, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5764, root_relative_squared_error: 1.2227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4394, f_measure: 0.5312, kappa: -0.0089, kb_relative_information_score: 44.8454, mean_absolute_error: 0.4123, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.4434, predictive_accuracy: 0.6622, prior_entropy: 0.9188, recall: 0.6622, relative_absolute_error: 0.9273, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4899, root_relative_squared_error: 1.0392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.5294, kappa: -0.0234, kb_relative_information_score: -16.1425, mean_absolute_error: 0.4426, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.4721, predictive_accuracy: 0.6533, prior_entropy: 0.9188, recall: 0.6533, relative_absolute_error: 0.9955, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.479, root_relative_squared_error: 1.0161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5021, f_measure: 0.5541, kappa: -0.0309, kb_relative_information_score: -27.4582, mean_absolute_error: 0.443, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5382, predictive_accuracy: 0.6027, prior_entropy: 0.9188, recall: 0.6027, relative_absolute_error: 0.9963, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.496, root_relative_squared_error: 1.0522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4804, f_measure: 0.5283, kappa: -0.0206, kb_relative_information_score: -26.3617, mean_absolute_error: 0.4469, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.4421, predictive_accuracy: 0.6563, prior_entropy: 0.9188, recall: 0.6563, relative_absolute_error: 1.0051, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.485, root_relative_squared_error: 1.0289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4601, f_measure: 0.548, kappa: 0.0087, kb_relative_information_score: 18.9658, mean_absolute_error: 0.428, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5751, predictive_accuracy: 0.6607, prior_entropy: 0.9188, recall: 0.6607, relative_absolute_error: 0.9627, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4851, root_relative_squared_error: 1.0291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 15.5176, mean_absolute_error: 0.4346, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9775, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4723, root_relative_squared_error: 1.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5386, f_measure: 0.5619, kappa: 0.0197, kb_relative_information_score: 34.795, mean_absolute_error: 0.4117, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5785, predictive_accuracy: 0.6548, prior_entropy: 0.9188, recall: 0.6548, relative_absolute_error: 0.9259, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4915, root_relative_squared_error: 1.0425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, kb_relative_information_score: -21.9327, mean_absolute_error: 0.4519, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0164, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4722, root_relative_squared_error: 1.0017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4674, kb_relative_information_score: -27.2719, mean_absolute_error: 0.4479, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0073, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4841, root_relative_squared_error: 1.0269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5227, f_measure: 0.5645, kappa: -0.0026, kb_relative_information_score: -16.622, mean_absolute_error: 0.4395, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5539, predictive_accuracy: 0.622, prior_entropy: 0.9188, recall: 0.622, relative_absolute_error: 0.9885, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4906, root_relative_squared_error: 1.0407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5226, f_measure: 0.5184, kappa: 0.0196, kb_relative_information_score: -105.477, mean_absolute_error: 0.4867, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5656, predictive_accuracy: 0.5045, prior_entropy: 0.9188, recall: 0.5045, relative_absolute_error: 1.0946, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5188, root_relative_squared_error: 1.1004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4856, f_measure: 0.5463, kappa: -0.0377, kb_relative_information_score: -33.2654, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5285, predictive_accuracy: 0.6176, prior_entropy: 0.9188, recall: 0.6176, relative_absolute_error: 1.0058, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4961, root_relative_squared_error: 1.0523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4837, f_measure: 0.5365, kappa: -0.0661, kb_relative_information_score: -37.6813, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5134, predictive_accuracy: 0.5997, prior_entropy: 0.9188, recall: 0.5997, relative_absolute_error: 1.0134, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4958, root_relative_squared_error: 1.0517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5487, kb_relative_information_score: -0.5293, mean_absolute_error: 0.44, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9895, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4709, root_relative_squared_error: 0.9988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4723, f_measure: 0.529, kappa: -0.0177, kb_relative_information_score: -26.8894, mean_absolute_error: 0.4479, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.4424, predictive_accuracy: 0.6577, prior_entropy: 0.9188, recall: 0.6577, relative_absolute_error: 1.0074, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4864, root_relative_squared_error: 1.0318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4778, f_measure: 0.5286, kappa: -0.0781, kb_relative_information_score: -36.8575, mean_absolute_error: 0.4501, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.4994, predictive_accuracy: 0.6027, prior_entropy: 0.9188, recall: 0.6027, relative_absolute_error: 1.0124, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.495, root_relative_squared_error: 1.0501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: 0.2297, mean_absolute_error: 0.4445, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, kb_relative_information_score: -6.2163, mean_absolute_error: 0.4466, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0044, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4715, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5313, kb_relative_information_score: -2.8859, mean_absolute_error: 0.4397, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9889, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4732, root_relative_squared_error: 1.0038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.476, kb_relative_information_score: -6.0475, mean_absolute_error: 0.4441, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.473, root_relative_squared_error: 1.0034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5139, f_measure: 0.5126, kappa: 0.0079, kb_relative_information_score: -115.1981, mean_absolute_error: 0.4914, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5596, predictive_accuracy: 0.4985, prior_entropy: 0.9188, recall: 0.4985, relative_absolute_error: 1.1052, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5176, root_relative_squared_error: 1.0981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: 0.2297, mean_absolute_error: 0.4445, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4799, f_measure: 0.5398, kappa: 0.0029, kb_relative_information_score: -25.488, mean_absolute_error: 0.4463, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5698, predictive_accuracy: 0.6637, prior_entropy: 0.9188, recall: 0.6637, relative_absolute_error: 1.0038, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4848, root_relative_squared_error: 1.0283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5237, f_measure: 0.5183, kappa: 0.0215, kb_relative_information_score: -103.8837, mean_absolute_error: 0.4858, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5666, predictive_accuracy: 0.5045, prior_entropy: 0.9188, recall: 0.5045, relative_absolute_error: 1.0926, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5189, root_relative_squared_error: 1.1009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4576, f_measure: 0.5432, kappa: 0.0029, kb_relative_information_score: 23.9489, mean_absolute_error: 0.4254, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5638, predictive_accuracy: 0.6607, prior_entropy: 0.9188, recall: 0.6607, relative_absolute_error: 0.9568, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4857, root_relative_squared_error: 1.0304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5147, kb_relative_information_score: -3.307, mean_absolute_error: 0.4423, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9947, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4724, root_relative_squared_error: 1.0022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4448, kb_relative_information_score: 142.2566, mean_absolute_error: 0.3339, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.751, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5764, root_relative_squared_error: 1.2227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: 0.2297, mean_absolute_error: 0.4445, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: 0.2297, mean_absolute_error: 0.4445, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: 0.2297, mean_absolute_error: 0.4445, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, f_measure: 0.563, kappa: 0.0196, kb_relative_information_score: -19.6593, mean_absolute_error: 0.444, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.577, predictive_accuracy: 0.6533, prior_entropy: 0.9188, recall: 0.6533, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4866, root_relative_squared_error: 1.0323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5222, f_measure: 0.5645, kappa: -0.0026, kb_relative_information_score: -16.9752, mean_absolute_error: 0.4398, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5539, predictive_accuracy: 0.622, prior_entropy: 0.9188, recall: 0.622, relative_absolute_error: 0.9891, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4904, root_relative_squared_error: 1.0404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4623, f_measure: 0.5326, kappa: -0.003, kb_relative_information_score: -27.8687, mean_absolute_error: 0.4484, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.4441, predictive_accuracy: 0.6652, prior_entropy: 0.9188, recall: 0.6652, relative_absolute_error: 1.0085, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4841, root_relative_squared_error: 1.0269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.489, f_measure: 0.5471, kappa: -0.0465, kb_relative_information_score: -34.9808, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5289, predictive_accuracy: 0.5982, prior_entropy: 0.9188, recall: 0.5982, relative_absolute_error: 1.0059, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5252, f_measure: 0.5635, kappa: -0.0053, kb_relative_information_score: -15.0108, mean_absolute_error: 0.4381, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5523, predictive_accuracy: 0.6205, prior_entropy: 0.9188, recall: 0.6205, relative_absolute_error: 0.9852, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4912, root_relative_squared_error: 1.042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: 0.2297, mean_absolute_error: 0.4445, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5252, f_measure: 0.5227, kappa: 0.0294, kb_relative_information_score: -101.1816, mean_absolute_error: 0.4842, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5706, predictive_accuracy: 0.5089, prior_entropy: 0.9188, recall: 0.5089, relative_absolute_error: 1.089, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5194, root_relative_squared_error: 1.1017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.488, f_measure: 0.5269, kappa: -0.0264, kb_relative_information_score: -7.2211, mean_absolute_error: 0.4456, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.4414, predictive_accuracy: 0.6533, prior_entropy: 0.9188, recall: 0.6533, relative_absolute_error: 1.0023, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4747, root_relative_squared_error: 1.0069,

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