Task
Supervised Classification on planning-relax

Supervised Classification on planning-relax

Task 9953 Supervised Classification planning-relax 110 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4151, f_measure: 0.5816, kappa: -0.066, kb_relative_information_score: -17.569, mean_absolute_error: 0.4278, mean_prior_absolute_error: 0.4092, number_of_instances: 182, precision: 0.5311, predictive_accuracy: 0.6703, prior_entropy: 0.8662, recall: 0.6703, relative_absolute_error: 1.0454, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.4921, root_relative_squared_error: 1.0893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4384, f_measure: 0.5926, kappa: -0.0109, kb_relative_information_score: -9.4135, mean_absolute_error: 0.4174, mean_prior_absolute_error: 0.4092, number_of_instances: 182, precision: 0.5091, predictive_accuracy: 0.7088, prior_entropy: 0.8662, recall: 0.7088, relative_absolute_error: 1.02, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.4698, root_relative_squared_error: 1.0399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5128, f_measure: 0.6322, kappa: 0.0804, kb_relative_information_score: 9.0704, mean_absolute_error: 0.388, mean_prior_absolute_error: 0.4092, number_of_instances: 182, precision: 0.8045, predictive_accuracy: 0.7308, prior_entropy: 0.8662, recall: 0.7308, relative_absolute_error: 0.9483, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.4416, root_relative_squared_error: 0.9775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 44.1373, mean_absolute_error: 0.2857, mean_prior_absolute_error: 0.4092, number_of_instances: 182, predictive_accuracy: 0.7143, prior_entropy: 0.8662, recall: 0.7143, relative_absolute_error: 0.6983, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.5345, root_relative_squared_error: 1.1832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4395, f_measure: 0.5926, kappa: -0.0109, kb_relative_information_score: -43.0279, mean_absolute_error: 0.4581, mean_prior_absolute_error: 0.4092, number_of_instances: 182, precision: 0.5091, predictive_accuracy: 0.7088, prior_entropy: 0.8662, recall: 0.7088, relative_absolute_error: 1.1196, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.4682, root_relative_squared_error: 1.0364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4203, kb_relative_information_score: -1.0825, mean_absolute_error: 0.407, mean_prior_absolute_error: 0.4092, number_of_instances: 182, predictive_accuracy: 0.7143, prior_entropy: 0.8662, recall: 0.7143, relative_absolute_error: 0.9946, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.4571, root_relative_squared_error: 1.0119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4384, f_measure: 0.5952, kb_relative_information_score: -3.6164, mean_absolute_error: 0.4109, mean_prior_absolute_error: 0.4092, number_of_instances: 182, precision: 0.5102, predictive_accuracy: 0.7143, prior_entropy: 0.8662, recall: 0.7143, relative_absolute_error: 1.0041, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.4583, root_relative_squared_error: 1.0145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4895, f_measure: 0.6018, kappa: -0.0103, kb_relative_information_score: -5.9764, mean_absolute_error: 0.4024, mean_prior_absolute_error: 0.4092, number_of_instances: 182, precision: 0.5805, predictive_accuracy: 0.6923, prior_entropy: 0.8662, recall: 0.6923, relative_absolute_error: 0.9834, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.4688, root_relative_squared_error: 1.0377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4403, f_measure: 0.5952, kb_relative_information_score: -2.9691, mean_absolute_error: 0.4103, mean_prior_absolute_error: 0.4092, number_of_instances: 182, precision: 0.5102, predictive_accuracy: 0.7143, prior_entropy: 0.8662, recall: 0.7143, relative_absolute_error: 1.0027, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.4553, root_relative_squared_error: 1.0079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4846, f_measure: 0.5952, kb_relative_information_score: 0.4085, mean_absolute_error: 0.4082, mean_prior_absolute_error: 0.4092, number_of_instances: 182, precision: 0.5102, predictive_accuracy: 0.7143, prior_entropy: 0.8662, recall: 0.7143, relative_absolute_error: 0.9977, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.4518, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4846, f_measure: 0.5952, kb_relative_information_score: -0.3069, mean_absolute_error: 0.4093, mean_prior_absolute_error: 0.4092, number_of_instances: 182, precision: 0.5102, predictive_accuracy: 0.7143, prior_entropy: 0.8662, recall: 0.7143, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.4518, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5291, f_measure: 0.6528, kappa: 0.1355, kb_relative_information_score: 5.252, mean_absolute_error: 0.3692, mean_prior_absolute_error: 0.4092, number_of_instances: 182, precision: 0.6475, predictive_accuracy: 0.6593, prior_entropy: 0.8662, recall: 0.6593, relative_absolute_error: 0.9022, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.5557, root_relative_squared_error: 1.2302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.471, f_measure: 0.5564, kappa: -0.1403, kb_relative_information_score: -20.9012, mean_absolute_error: 0.4259, mean_prior_absolute_error: 0.4092, number_of_instances: 182, precision: 0.5229, predictive_accuracy: 0.6044, prior_entropy: 0.8662, recall: 0.6044, relative_absolute_error: 1.0409, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.5345, root_relative_squared_error: 1.1832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4476, f_measure: 0.5952, kb_relative_information_score: -5.5924, mean_absolute_error: 0.416, mean_prior_absolute_error: 0.4092, number_of_instances: 182, precision: 0.5102, predictive_accuracy: 0.7143, prior_entropy: 0.8662, recall: 0.7143, relative_absolute_error: 1.0166, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.4624, root_relative_squared_error: 1.0235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4691, f_measure: 0.5767, kappa: -0.0874, kb_relative_information_score: -17.0045, mean_absolute_error: 0.4229, mean_prior_absolute_error: 0.4092, number_of_instances: 182, precision: 0.5349, predictive_accuracy: 0.6484, prior_entropy: 0.8662, recall: 0.6484, relative_absolute_error: 1.0335, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.4884, root_relative_squared_error: 1.081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.528, f_measure: 0.5926, kappa: -0.0109, kb_relative_information_score: -9.3359, mean_absolute_error: 0.4124, mean_prior_absolute_error: 0.4092, number_of_instances: 182, precision: 0.5091, predictive_accuracy: 0.7088, prior_entropy: 0.8662, recall: 0.7088, relative_absolute_error: 1.008, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.4547, root_relative_squared_error: 1.0066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4856, f_measure: 0.5826, kappa: -0.0744, kb_relative_information_score: -14.8856, mean_absolute_error: 0.4165, mean_prior_absolute_error: 0.4092, number_of_instances: 182, precision: 0.5519, predictive_accuracy: 0.6374, prior_entropy: 0.8662, recall: 0.6374, relative_absolute_error: 1.0179, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.4835, root_relative_squared_error: 1.0702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5594, f_measure: 0.5952, kb_relative_information_score: -3.5443, mean_absolute_error: 0.401, mean_prior_absolute_error: 0.4092, number_of_instances: 182, precision: 0.5102, predictive_accuracy: 0.7143, prior_entropy: 0.8662, recall: 0.7143, relative_absolute_error: 0.9801, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.4484, root_relative_squared_error: 0.9926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5952, kb_relative_information_score: 44.1373, mean_absolute_error: 0.2857, mean_prior_absolute_error: 0.4092, number_of_instances: 182, precision: 0.5102, predictive_accuracy: 0.7143, prior_entropy: 0.8662, recall: 0.7143, relative_absolute_error: 0.6983, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.5345, root_relative_squared_error: 1.1832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4846, f_measure: 0.5952, kb_relative_information_score: -0.3069, mean_absolute_error: 0.4093, mean_prior_absolute_error: 0.4092, number_of_instances: 182, precision: 0.5102, predictive_accuracy: 0.7143, prior_entropy: 0.8662, recall: 0.7143, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.4518, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.457, f_measure: 0.6049, kb_relative_information_score: -7.3614, mean_absolute_error: 0.4058, mean_prior_absolute_error: 0.4092, number_of_instances: 182, precision: 0.5918, predictive_accuracy: 0.6978, prior_entropy: 0.8662, recall: 0.6978, relative_absolute_error: 0.9918, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.4779, root_relative_squared_error: 1.0579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4851, f_measure: 0.5952, kb_relative_information_score: -7.7207, mean_absolute_error: 0.4139, mean_prior_absolute_error: 0.4092, number_of_instances: 182, precision: 0.5102, predictive_accuracy: 0.7143, prior_entropy: 0.8662, recall: 0.7143, relative_absolute_error: 1.0116, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.4568, root_relative_squared_error: 1.0111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4846, f_measure: 0.5952, kb_relative_information_score: -0.3069, mean_absolute_error: 0.4093, mean_prior_absolute_error: 0.4092, number_of_instances: 182, precision: 0.5102, predictive_accuracy: 0.7143, prior_entropy: 0.8662, recall: 0.7143, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.4518, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4797, f_measure: 0.5767, kappa: -0.0874, kb_relative_information_score: -16.9292, mean_absolute_error: 0.4138, mean_prior_absolute_error: 0.4092, number_of_instances: 182, precision: 0.5349, predictive_accuracy: 0.6484, prior_entropy: 0.8662, recall: 0.6484, relative_absolute_error: 1.0112, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.4945, root_relative_squared_error: 1.0946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4846, f_measure: 0.5952, kb_relative_information_score: 0.4055, mean_absolute_error: 0.4082, mean_prior_absolute_error: 0.4092, number_of_instances: 182, precision: 0.5102, predictive_accuracy: 0.7143, prior_entropy: 0.8662, recall: 0.7143, relative_absolute_error: 0.9977, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.4518, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5335, f_measure: 0.5666, kappa: -0.1155, kb_relative_information_score: -12.9996, mean_absolute_error: 0.403, mean_prior_absolute_error: 0.4092, number_of_instances: 182, precision: 0.5314, predictive_accuracy: 0.6209, prior_entropy: 0.8662, recall: 0.6209, relative_absolute_error: 0.9849, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.4908, root_relative_squared_error: 1.0865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4846, f_measure: 0.5952, kb_relative_information_score: 0.4085, mean_absolute_error: 0.4082, mean_prior_absolute_error: 0.4092, number_of_instances: 182, precision: 0.5102, predictive_accuracy: 0.7143, prior_entropy: 0.8662, recall: 0.7143, relative_absolute_error: 0.9977, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.4518, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4324, f_measure: 0.5726, kappa: -0.0943, kb_relative_information_score: -21.3666, mean_absolute_error: 0.4258, mean_prior_absolute_error: 0.4092, number_of_instances: 182, precision: 0.5207, predictive_accuracy: 0.6538, prior_entropy: 0.8662, recall: 0.6538, relative_absolute_error: 1.0406, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.4925, root_relative_squared_error: 1.0903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5952, kb_relative_information_score: 44.1373, mean_absolute_error: 0.2857, mean_prior_absolute_error: 0.4092, number_of_instances: 182, precision: 0.5102, predictive_accuracy: 0.7143, prior_entropy: 0.8662, recall: 0.7143, relative_absolute_error: 0.6983, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.5345, root_relative_squared_error: 1.1832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4406, f_measure: 0.5952, kb_relative_information_score: 3.2004, mean_absolute_error: 0.3863, mean_prior_absolute_error: 0.4092, number_of_instances: 182, precision: 0.5102, predictive_accuracy: 0.7143, prior_entropy: 0.8662, recall: 0.7143, relative_absolute_error: 0.9442, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.4802, root_relative_squared_error: 1.0629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4429, f_measure: 0.5924, kappa: -0.0403, kb_relative_information_score: -20.3942, mean_absolute_error: 0.4232, mean_prior_absolute_error: 0.4092, number_of_instances: 182, precision: 0.5574, predictive_accuracy: 0.6758, prior_entropy: 0.8662, recall: 0.6758, relative_absolute_error: 1.0342, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.4872, root_relative_squared_error: 1.0785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4314, f_measure: 0.6339, kappa: 0.0655, kb_relative_information_score: -13.9452, mean_absolute_error: 0.4159, mean_prior_absolute_error: 0.4092, number_of_instances: 182, precision: 0.6478, predictive_accuracy: 0.7088, prior_entropy: 0.8662, recall: 0.7088, relative_absolute_error: 1.0166, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.4767, root_relative_squared_error: 1.0553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5952, kb_relative_information_score: 44.1373, mean_absolute_error: 0.2857, mean_prior_absolute_error: 0.4092, number_of_instances: 182, precision: 0.5102, predictive_accuracy: 0.7143, prior_entropy: 0.8662, recall: 0.7143, relative_absolute_error: 0.6983, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.5345, root_relative_squared_error: 1.1832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4351, f_measure: 0.5665, kappa: -0.1125, kb_relative_information_score: -21.5932, mean_absolute_error: 0.4264, mean_prior_absolute_error: 0.4092, number_of_instances: 182, precision: 0.5152, predictive_accuracy: 0.6429, prior_entropy: 0.8662, recall: 0.6429, relative_absolute_error: 1.0421, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.4872, root_relative_squared_error: 1.0784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5952, kb_relative_information_score: 44.1373, mean_absolute_error: 0.2857, mean_prior_absolute_error: 0.4092, number_of_instances: 182, precision: 0.5102, predictive_accuracy: 0.7143, prior_entropy: 0.8662, recall: 0.7143, relative_absolute_error: 0.6983, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.5345, root_relative_squared_error: 1.1832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4497, f_measure: 0.5833, kappa: -0.0493, kb_relative_information_score: -25.6878, mean_absolute_error: 0.4308, mean_prior_absolute_error: 0.4092, number_of_instances: 182, precision: 0.5712, predictive_accuracy: 0.5989, prior_entropy: 0.8662, recall: 0.5989, relative_absolute_error: 1.0529, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.5484, root_relative_squared_error: 1.214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4846, f_measure: 0.5952, kb_relative_information_score: 0.4085, mean_absolute_error: 0.4082, mean_prior_absolute_error: 0.4092, number_of_instances: 182, precision: 0.5102, predictive_accuracy: 0.7143, prior_entropy: 0.8662, recall: 0.7143, relative_absolute_error: 0.9977, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.4518, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5291, f_measure: 0.5952, kb_relative_information_score: -2.2195, mean_absolute_error: 0.41, mean_prior_absolute_error: 0.4092, number_of_instances: 182, precision: 0.5102, predictive_accuracy: 0.7143, prior_entropy: 0.8662, recall: 0.7143, relative_absolute_error: 1.0021, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.456, root_relative_squared_error: 1.0094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4377, f_measure: 0.5638, kappa: -0.1226, kb_relative_information_score: -23.2895, mean_absolute_error: 0.4286, mean_prior_absolute_error: 0.4092, number_of_instances: 182, precision: 0.5224, predictive_accuracy: 0.6264, prior_entropy: 0.8662, recall: 0.6264, relative_absolute_error: 1.0474, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.5069, root_relative_squared_error: 1.122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5135, f_measure: 0.6063, kappa: 0.0274, kb_relative_information_score: -6.0022, mean_absolute_error: 0.3901, mean_prior_absolute_error: 0.4092, number_of_instances: 182, precision: 0.603, predictive_accuracy: 0.6099, prior_entropy: 0.8662, recall: 0.6099, relative_absolute_error: 0.9534, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.6246, root_relative_squared_error: 1.3826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4538, f_measure: 0.5591, kappa: -0.0951, kb_relative_information_score: -27.1136, mean_absolute_error: 0.4341, mean_prior_absolute_error: 0.4092, number_of_instances: 182, precision: 0.5529, predictive_accuracy: 0.5659, prior_entropy: 0.8662, recall: 0.5659, relative_absolute_error: 1.0609, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.6588, root_relative_squared_error: 1.4584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4673, f_measure: 0.5759, kappa: -0.0702, kb_relative_information_score: -13.919, mean_absolute_error: 0.4066, mean_prior_absolute_error: 0.4092, number_of_instances: 182, precision: 0.5623, predictive_accuracy: 0.5934, prior_entropy: 0.8662, recall: 0.5934, relative_absolute_error: 0.9937, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.6376, root_relative_squared_error: 1.4115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5952, kb_relative_information_score: 44.1373, mean_absolute_error: 0.2857, mean_prior_absolute_error: 0.4092, number_of_instances: 182, precision: 0.5102, predictive_accuracy: 0.7143, prior_entropy: 0.8662, recall: 0.7143, relative_absolute_error: 0.6983, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.5345, root_relative_squared_error: 1.1832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5173, f_measure: 0.6229, kappa: 0.0386, kb_relative_information_score: 12.4702, mean_absolute_error: 0.3516, mean_prior_absolute_error: 0.4092, number_of_instances: 182, precision: 0.6088, predictive_accuracy: 0.6484, prior_entropy: 0.8662, recall: 0.6484, relative_absolute_error: 0.8594, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.593, root_relative_squared_error: 1.3126, usercpu_time_millis: 410.987, usercpu_time_millis_testing: 6.011, usercpu_time_millis_training: 404.976,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5346, f_measure: 0.6332, kappa: 0.0744, kb_relative_information_score: 12.4702, mean_absolute_error: 0.3516, mean_prior_absolute_error: 0.4092, number_of_instances: 182, precision: 0.6231, predictive_accuracy: 0.6484, prior_entropy: 0.8662, recall: 0.6484, relative_absolute_error: 0.8594, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.593, root_relative_squared_error: 1.3126, usercpu_time_millis: 0.465, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 0.438,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5952, kb_relative_information_score: 44.1373, mean_absolute_error: 0.2857, mean_prior_absolute_error: 0.4092, number_of_instances: 182, precision: 0.5102, predictive_accuracy: 0.7143, prior_entropy: 0.8662, recall: 0.7143, relative_absolute_error: 0.6983, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.5345, root_relative_squared_error: 1.1832, usercpu_time_millis: 2.429, usercpu_time_millis_testing: 0.972, usercpu_time_millis_training: 1.457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5288, f_measure: 0.6234, kappa: 0.0601, kb_relative_information_score: 4.5535, mean_absolute_error: 0.3681, mean_prior_absolute_error: 0.4092, number_of_instances: 182, precision: 0.6166, predictive_accuracy: 0.6319, prior_entropy: 0.8662, recall: 0.6319, relative_absolute_error: 0.8997, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.6067, root_relative_squared_error: 1.3431, usercpu_time_millis: 2.323, usercpu_time_millis_testing: 0.889, usercpu_time_millis_training: 1.434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5952, kb_relative_information_score: 44.1373, mean_absolute_error: 0.2857, mean_prior_absolute_error: 0.4092, number_of_instances: 182, precision: 0.5102, predictive_accuracy: 0.7143, prior_entropy: 0.8662, recall: 0.7143, relative_absolute_error: 0.6983, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.5345, root_relative_squared_error: 1.1832, usercpu_time_millis: 42.417, usercpu_time_millis_testing: 2.441, usercpu_time_millis_training: 39.976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5952, kb_relative_information_score: 44.1373, mean_absolute_error: 0.2857, mean_prior_absolute_error: 0.4092, number_of_instances: 182, precision: 0.5102, predictive_accuracy: 0.7143, prior_entropy: 0.8662, recall: 0.7143, relative_absolute_error: 0.6983, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.5345, root_relative_squared_error: 1.1832, usercpu_time_millis: 10.464, usercpu_time_millis_testing: 0.752, usercpu_time_millis_training: 9.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5952, kb_relative_information_score: 44.1373, mean_absolute_error: 0.2857, mean_prior_absolute_error: 0.4092, number_of_instances: 182, precision: 0.5102, predictive_accuracy: 0.7143, prior_entropy: 0.8662, recall: 0.7143, relative_absolute_error: 0.6983, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.5345, root_relative_squared_error: 1.1832, usercpu_time_millis: 1.199, usercpu_time_millis_testing: 0.094, usercpu_time_millis_training: 1.105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5952, kb_relative_information_score: 44.1373, mean_absolute_error: 0.2857, mean_prior_absolute_error: 0.4092, number_of_instances: 182, precision: 0.5102, predictive_accuracy: 0.7143, prior_entropy: 0.8662, recall: 0.7143, relative_absolute_error: 0.6983, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.5345, root_relative_squared_error: 1.1832, usercpu_time_millis: 0.613, usercpu_time_millis_testing: 0.102, usercpu_time_millis_training: 0.511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5952, kb_relative_information_score: 44.1373, mean_absolute_error: 0.2857, mean_prior_absolute_error: 0.4092, number_of_instances: 182, precision: 0.5102, predictive_accuracy: 0.7143, prior_entropy: 0.8662, recall: 0.7143, relative_absolute_error: 0.6983, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.5345, root_relative_squared_error: 1.1832, usercpu_time_millis: 0.409, usercpu_time_millis_testing: 0.047, usercpu_time_millis_training: 0.362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5952, kb_relative_information_score: 44.1373, mean_absolute_error: 0.2857, mean_prior_absolute_error: 0.4092, number_of_instances: 182, precision: 0.5102, predictive_accuracy: 0.7143, prior_entropy: 0.8662, recall: 0.7143, relative_absolute_error: 0.6983, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.5345, root_relative_squared_error: 1.1832, usercpu_time_millis: 0.21, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 0.189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5423, f_measure: 0.6513, kappa: 0.1117, kb_relative_information_score: 49.4151, mean_absolute_error: 0.2747, mean_prior_absolute_error: 0.4092, number_of_instances: 182, precision: 0.6947, predictive_accuracy: 0.7253, prior_entropy: 0.8662, recall: 0.7253, relative_absolute_error: 0.6714, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.5241, root_relative_squared_error: 1.1602, usercpu_time_millis: 1.118, usercpu_time_millis_testing: 0.141, usercpu_time_millis_training: 0.977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5952, kb_relative_information_score: 44.1373, mean_absolute_error: 0.2857, mean_prior_absolute_error: 0.4092, number_of_instances: 182, precision: 0.5102, predictive_accuracy: 0.7143, prior_entropy: 0.8662, recall: 0.7143, relative_absolute_error: 0.6983, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.5345, root_relative_squared_error: 1.1832, usercpu_time_millis: 1.355, usercpu_time_millis_testing: 0.224, usercpu_time_millis_training: 1.131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4923, f_measure: 0.5899, kappa: -0.0216, kb_relative_information_score: 38.8594, mean_absolute_error: 0.2967, mean_prior_absolute_error: 0.4092, number_of_instances: 182, precision: 0.5079, predictive_accuracy: 0.7033, prior_entropy: 0.8662, recall: 0.7033, relative_absolute_error: 0.7252, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.5447, root_relative_squared_error: 1.2057, usercpu_time_millis: 0.641, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 0.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5365, f_measure: 0.6241, kappa: 0.0739, kb_relative_information_score: 1.9146, mean_absolute_error: 0.3736, mean_prior_absolute_error: 0.4092, number_of_instances: 182, precision: 0.622, predictive_accuracy: 0.6264, prior_entropy: 0.8662, recall: 0.6264, relative_absolute_error: 0.9132, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.6113, root_relative_squared_error: 1.353, usercpu_time_millis: 0.438, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 0.416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.475, f_measure: 0.5866, kappa: -0.0627, kb_relative_information_score: 15.1092, mean_absolute_error: 0.3462, mean_prior_absolute_error: 0.4092, number_of_instances: 182, precision: 0.5526, predictive_accuracy: 0.6538, prior_entropy: 0.8662, recall: 0.6538, relative_absolute_error: 0.846, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.5883, root_relative_squared_error: 1.3023, usercpu_time_millis: 1.654, usercpu_time_millis_testing: 0.274, usercpu_time_millis_training: 1.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4673, f_measure: 0.58, kappa: -0.0808, kb_relative_information_score: 9.8313, mean_absolute_error: 0.3571, mean_prior_absolute_error: 0.4092, number_of_instances: 182, precision: 0.5447, predictive_accuracy: 0.6429, prior_entropy: 0.8662, recall: 0.6429, relative_absolute_error: 0.8729, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.5976, root_relative_squared_error: 1.3229, usercpu_time_millis: 12.066, usercpu_time_millis_testing: 1.985, usercpu_time_millis_training: 10.081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, f_measure: 0.6277, kappa: 0.0685, kb_relative_information_score: -10.9619, mean_absolute_error: 0.4065, mean_prior_absolute_error: 0.4092, number_of_instances: 182, precision: 0.6202, predictive_accuracy: 0.6374, prior_entropy: 0.8662, recall: 0.6374, relative_absolute_error: 0.9935, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.5482, root_relative_squared_error: 1.2135, scimark_benchmark: 477.2625, usercpu_time_millis: 700, usercpu_time_millis_training: 700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5752, f_measure: 0.6374, kappa: 0.0832, kb_relative_information_score: -6.8999, mean_absolute_error: 0.4085, mean_prior_absolute_error: 0.4092, number_of_instances: 182, precision: 0.627, predictive_accuracy: 0.6538, prior_entropy: 0.8662, recall: 0.6538, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.5384, root_relative_squared_error: 1.1918, scimark_benchmark: 1262.0765, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4483, f_measure: 0.5695, kappa: -0.0454, kb_relative_information_score: -28.6961, mean_absolute_error: 0.44, mean_prior_absolute_error: 0.4092, number_of_instances: 182, precision: 0.5733, predictive_accuracy: 0.5659, prior_entropy: 0.8662, recall: 0.5659, relative_absolute_error: 1.0753, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.6422, root_relative_squared_error: 1.4216, scimark_benchmark: 1211.4339, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4321, f_measure: 0.5726, kappa: -0.0943, kb_relative_information_score: -21.1949, mean_absolute_error: 0.4254, mean_prior_absolute_error: 0.4092, number_of_instances: 182, precision: 0.5207, predictive_accuracy: 0.6538, prior_entropy: 0.8662, recall: 0.6538, relative_absolute_error: 1.0396, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0896, scimark_benchmark: 1223.5432, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5605, f_measure: 0.6234, kappa: 0.0601, kb_relative_information_score: 4.0803, mean_absolute_error: 0.3697, mean_prior_absolute_error: 0.4092, number_of_instances: 182, precision: 0.6166, predictive_accuracy: 0.6319, prior_entropy: 0.8662, recall: 0.6319, relative_absolute_error: 0.9035, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.6031, root_relative_squared_error: 1.3351, scimark_benchmark: 473.1656, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,

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