Task
Supervised Classification on hill-valley

Supervised Classification on hill-valley

Task 145847 Supervised Classification hill-valley 92422 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.605, f_measure: 0.5781, kappa: 0.1568, kb_relative_information_score: 117.3215, mean_absolute_error: 0.4565, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5786, predictive_accuracy: 0.5784, prior_entropy: 1, recall: 0.5784, relative_absolute_error: 0.913, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5127, root_relative_squared_error: 1.0254, scimark_benchmark: 1722.5417, usercpu_time_millis: 201.983, usercpu_time_millis_testing: 0.436, usercpu_time_millis_training: 201.547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5785, f_measure: 0.5498, kappa: 0.1007, kb_relative_information_score: 40.0766, mean_absolute_error: 0.4869, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5506, predictive_accuracy: 0.5503, prior_entropy: 1, recall: 0.5503, relative_absolute_error: 0.9739, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4956, root_relative_squared_error: 0.9913, scimark_benchmark: 1728.4686, usercpu_time_millis: 203.582, usercpu_time_millis_testing: 0.64, usercpu_time_millis_training: 202.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5724, f_measure: 0.5334, kappa: 0.0677, kb_relative_information_score: 45.0599, mean_absolute_error: 0.4847, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.534, predictive_accuracy: 0.5338, prior_entropy: 1, recall: 0.5338, relative_absolute_error: 0.9694, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4975, root_relative_squared_error: 0.995, scimark_benchmark: 1733.7418, usercpu_time_millis: 101.508, usercpu_time_millis_testing: 1.133, usercpu_time_millis_training: 100.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6032, f_measure: 0.5766, kappa: 0.1535, kb_relative_information_score: 79.6912, mean_absolute_error: 0.4726, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5768, predictive_accuracy: 0.5767, prior_entropy: 1, recall: 0.5767, relative_absolute_error: 0.9453, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4968, root_relative_squared_error: 0.9936, scimark_benchmark: 1081.4245, usercpu_time_millis: 267.081, usercpu_time_millis_testing: 1.965, usercpu_time_millis_training: 265.116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5645, f_measure: 0.5348, kappa: 0.071, kb_relative_information_score: 39.0312, mean_absolute_error: 0.4868, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5357, predictive_accuracy: 0.5355, prior_entropy: 1, recall: 0.5355, relative_absolute_error: 0.9736, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4984, root_relative_squared_error: 0.9967, scimark_benchmark: 1722.2536, usercpu_time_millis: 105.708, usercpu_time_millis_testing: 1.052, usercpu_time_millis_training: 104.656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5828, f_measure: 0.5577, kappa: 0.1155, kb_relative_information_score: 55.3766, mean_absolute_error: 0.4813, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5578, predictive_accuracy: 0.5578, prior_entropy: 1, recall: 0.5578, relative_absolute_error: 0.9625, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.498, root_relative_squared_error: 0.996, scimark_benchmark: 1723.9607, usercpu_time_millis: 88.518, usercpu_time_millis_testing: 1.166, usercpu_time_millis_training: 87.352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6118, f_measure: 0.5709, kappa: 0.1419, kb_relative_information_score: 79.1295, mean_absolute_error: 0.4731, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.571, predictive_accuracy: 0.571, prior_entropy: 1, recall: 0.571, relative_absolute_error: 0.9463, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4929, root_relative_squared_error: 0.9859, scimark_benchmark: 1727.0501, usercpu_time_millis: 76.227, usercpu_time_millis_testing: 0.281, usercpu_time_millis_training: 75.946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6075, f_measure: 0.5733, kappa: 0.1469, kb_relative_information_score: 86.8795, mean_absolute_error: 0.4699, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5736, predictive_accuracy: 0.5734, prior_entropy: 1, recall: 0.5734, relative_absolute_error: 0.9399, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4966, root_relative_squared_error: 0.9932, scimark_benchmark: 1738.3274, usercpu_time_millis: 66.327, usercpu_time_millis_testing: 0.905, usercpu_time_millis_training: 65.422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5668, f_measure: 0.5383, kappa: 0.0776, kb_relative_information_score: 39.341, mean_absolute_error: 0.4868, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5389, predictive_accuracy: 0.5388, prior_entropy: 1, recall: 0.5388, relative_absolute_error: 0.9737, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4984, root_relative_squared_error: 0.9968, scimark_benchmark: 1726.6494, usercpu_time_millis: 57.01, usercpu_time_millis_testing: 0.726, usercpu_time_millis_training: 56.284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5972, f_measure: 0.5726, kappa: 0.1452, kb_relative_information_score: 69.8754, mean_absolute_error: 0.4764, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5726, predictive_accuracy: 0.5726, prior_entropy: 1, recall: 0.5726, relative_absolute_error: 0.9528, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4966, root_relative_squared_error: 0.9931, scimark_benchmark: 1752.9026, usercpu_time_millis: 199.543, usercpu_time_millis_testing: 0.836, usercpu_time_millis_training: 198.707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5411, f_measure: 0.5236, kappa: 0.0512, kb_relative_information_score: 20.0671, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.526, predictive_accuracy: 0.5256, prior_entropy: 1, recall: 0.5256, relative_absolute_error: 0.9869, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4988, root_relative_squared_error: 0.9976, scimark_benchmark: 1721.3501, usercpu_time_millis: 27.898, usercpu_time_millis_testing: 0.44, usercpu_time_millis_training: 27.458,
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: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1728.8693, usercpu_time_millis: 0.805, usercpu_time_millis_testing: 0.11, usercpu_time_millis_training: 0.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4974, f_measure: 0.4941, kappa: -0.0017, kb_relative_information_score: -0.0261, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4991, predictive_accuracy: 0.4992, prior_entropy: 1, recall: 0.4992, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1722.595, usercpu_time_millis: 0.582, usercpu_time_millis_testing: 0.082, usercpu_time_millis_training: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5515, f_measure: 0.531, kappa: 0.066, kb_relative_information_score: 21.4161, mean_absolute_error: 0.4932, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5336, predictive_accuracy: 0.533, prior_entropy: 1, recall: 0.533, relative_absolute_error: 0.9864, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4978, root_relative_squared_error: 0.9955, scimark_benchmark: 1734.4776, usercpu_time_millis: 118.164, usercpu_time_millis_testing: 0.69, usercpu_time_millis_training: 117.474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5801, f_measure: 0.5643, kappa: 0.1287, kb_relative_information_score: 56.2471, mean_absolute_error: 0.4811, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5644, predictive_accuracy: 0.5644, prior_entropy: 1, recall: 0.5644, relative_absolute_error: 0.9622, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0002, scimark_benchmark: 1742.7467, usercpu_time_millis: 4.514, usercpu_time_millis_testing: 0.149, usercpu_time_millis_training: 4.365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5711, f_measure: 0.5396, kappa: 0.0809, kb_relative_information_score: 34.1298, mean_absolute_error: 0.489, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5407, predictive_accuracy: 0.5404, prior_entropy: 1, recall: 0.5404, relative_absolute_error: 0.9779, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4965, root_relative_squared_error: 0.9931, scimark_benchmark: 1742.5561, usercpu_time_millis: 32.006, usercpu_time_millis_testing: 0.285, usercpu_time_millis_training: 31.721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5271, f_measure: 0.5136, kappa: 0.033, kb_relative_information_score: 12.4453, mean_absolute_error: 0.496, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5169, predictive_accuracy: 0.5165, prior_entropy: 1, recall: 0.5165, relative_absolute_error: 0.9921, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4993, root_relative_squared_error: 0.9986, scimark_benchmark: 1737.7751, usercpu_time_millis: 6.46, usercpu_time_millis_testing: 0.098, usercpu_time_millis_training: 6.362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6008, f_measure: 0.5833, kappa: 0.1667, kb_relative_information_score: 86.22, mean_absolute_error: 0.4699, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5834, predictive_accuracy: 0.5833, prior_entropy: 1, recall: 0.5833, relative_absolute_error: 0.9399, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0006, scimark_benchmark: 1753.245, usercpu_time_millis: 560.976, usercpu_time_millis_testing: 0.929, usercpu_time_millis_training: 560.047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5886, f_measure: 0.5594, kappa: 0.1188, kb_relative_information_score: 73.2128, mean_absolute_error: 0.4748, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5594, predictive_accuracy: 0.5594, prior_entropy: 1, recall: 0.5594, relative_absolute_error: 0.9497, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5027, root_relative_squared_error: 1.0053, scimark_benchmark: 1740.8521, usercpu_time_millis: 447.69, usercpu_time_millis_testing: 1.108, usercpu_time_millis_training: 446.582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.612, f_measure: 0.5797, kappa: 0.1601, kb_relative_information_score: 96.2154, mean_absolute_error: 0.4664, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5803, predictive_accuracy: 0.58, prior_entropy: 1, recall: 0.58, relative_absolute_error: 0.9328, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4972, root_relative_squared_error: 0.9943, scimark_benchmark: 1731.3812, usercpu_time_millis: 334.673, usercpu_time_millis_testing: 1.372, usercpu_time_millis_training: 333.301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6008, f_measure: 0.5798, kappa: 0.1601, kb_relative_information_score: 98.003, mean_absolute_error: 0.4649, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5802, predictive_accuracy: 0.58, prior_entropy: 1, recall: 0.58, relative_absolute_error: 0.9297, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5056, root_relative_squared_error: 1.0112, scimark_benchmark: 1758.8259, usercpu_time_millis: 228.304, usercpu_time_millis_testing: 0.433, usercpu_time_millis_training: 227.871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6115, f_measure: 0.5807, kappa: 0.1617, kb_relative_information_score: 125.6517, mean_absolute_error: 0.4534, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.581, predictive_accuracy: 0.5809, prior_entropy: 1, recall: 0.5809, relative_absolute_error: 0.9067, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5112, root_relative_squared_error: 1.0224, scimark_benchmark: 1758.8259, usercpu_time_millis: 128.656, usercpu_time_millis_testing: 0.474, usercpu_time_millis_training: 128.182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.619, f_measure: 0.5864, kappa: 0.1733, kb_relative_information_score: 96.2613, mean_absolute_error: 0.4668, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5868, predictive_accuracy: 0.5866, prior_entropy: 1, recall: 0.5866, relative_absolute_error: 0.9336, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4935, root_relative_squared_error: 0.987, scimark_benchmark: 1742.2915, usercpu_time_millis: 115.939, usercpu_time_millis_testing: 0.823, usercpu_time_millis_training: 115.116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5528, f_measure: 0.5319, kappa: 0.066, kb_relative_information_score: 18.5186, mean_absolute_error: 0.4942, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5333, predictive_accuracy: 0.533, prior_entropy: 1, recall: 0.533, relative_absolute_error: 0.9885, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4978, root_relative_squared_error: 0.9956, scimark_benchmark: 1736.0329, usercpu_time_millis: 88.677, usercpu_time_millis_testing: 0.316, usercpu_time_millis_training: 88.361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5642, f_measure: 0.5385, kappa: 0.0776, kb_relative_information_score: 39.5665, mean_absolute_error: 0.4866, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5389, predictive_accuracy: 0.5388, prior_entropy: 1, recall: 0.5388, relative_absolute_error: 0.9731, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.498, root_relative_squared_error: 0.9959, scimark_benchmark: 1748.66, usercpu_time_millis: 60.105, usercpu_time_millis_testing: 0.707, usercpu_time_millis_training: 59.398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5286, f_measure: 0.5204, kappa: 0.0446, kb_relative_information_score: 10.5309, mean_absolute_error: 0.4967, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5226, predictive_accuracy: 0.5223, prior_entropy: 1, recall: 0.5223, relative_absolute_error: 0.9935, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4993, root_relative_squared_error: 0.9985, scimark_benchmark: 1749.5206, usercpu_time_millis: 55.37, usercpu_time_millis_testing: 0.363, usercpu_time_millis_training: 55.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5522, f_measure: 0.5237, kappa: 0.0512, kb_relative_information_score: 26.2086, mean_absolute_error: 0.4914, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.526, predictive_accuracy: 0.5256, prior_entropy: 1, recall: 0.5256, relative_absolute_error: 0.9828, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4982, root_relative_squared_error: 0.9964, scimark_benchmark: 1739.9311, usercpu_time_millis: 60.917, usercpu_time_millis_testing: 0.966, usercpu_time_millis_training: 59.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5968, f_measure: 0.5685, kappa: 0.137, kb_relative_information_score: 69.0122, mean_absolute_error: 0.4767, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5685, predictive_accuracy: 0.5685, prior_entropy: 1, recall: 0.5685, relative_absolute_error: 0.9533, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.496, root_relative_squared_error: 0.992, scimark_benchmark: 1747.8037, usercpu_time_millis: 30.998, usercpu_time_millis_testing: 0.116, usercpu_time_millis_training: 30.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4974, f_measure: 0.4932, kappa: -0.0033, kb_relative_information_score: -0.0175, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4983, predictive_accuracy: 0.4984, prior_entropy: 1, recall: 0.4984, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1753.7679, usercpu_time_millis: 1.425, usercpu_time_millis_testing: 0.227, usercpu_time_millis_training: 1.198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6047, f_measure: 0.5774, kappa: 0.1551, kb_relative_information_score: 79.3854, mean_absolute_error: 0.4728, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5776, predictive_accuracy: 0.5776, prior_entropy: 1, recall: 0.5776, relative_absolute_error: 0.9456, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4958, root_relative_squared_error: 0.9916, scimark_benchmark: 1750.8515, usercpu_time_millis: 34.314, usercpu_time_millis_testing: 0.371, usercpu_time_millis_training: 33.943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4962, f_measure: 0.4925, kappa: -0.005, kb_relative_information_score: -0.0154, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4974, predictive_accuracy: 0.4975, prior_entropy: 1, recall: 0.4975, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1755.4795, usercpu_time_millis: 1.765, usercpu_time_millis_testing: 0.292, usercpu_time_millis_training: 1.473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4975, f_measure: 0.4984, kappa: -0.0033, kb_relative_information_score: -0.0159, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4984, predictive_accuracy: 0.4984, prior_entropy: 1, recall: 0.4984, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1727.5667, usercpu_time_millis: 1.695, usercpu_time_millis_testing: 0.278, usercpu_time_millis_training: 1.417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5237, f_measure: 0.5104, kappa: 0.0264, kb_relative_information_score: 10.6888, mean_absolute_error: 0.4966, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5135, predictive_accuracy: 0.5132, prior_entropy: 1, recall: 0.5132, relative_absolute_error: 0.9932, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4996, root_relative_squared_error: 0.9992, scimark_benchmark: 1747.6991, usercpu_time_millis: 13.198, usercpu_time_millis_testing: 0.636, usercpu_time_millis_training: 12.562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.4941, kappa: -0.0017, kb_relative_information_score: -0.043, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4991, predictive_accuracy: 0.4992, prior_entropy: 1, recall: 0.4992, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0001, scimark_benchmark: 1755.0172, usercpu_time_millis: 0.474, usercpu_time_millis_testing: 0.059, usercpu_time_millis_training: 0.415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6054, f_measure: 0.5732, kappa: 0.1469, kb_relative_information_score: 76.4425, mean_absolute_error: 0.4739, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5736, predictive_accuracy: 0.5734, prior_entropy: 1, recall: 0.5734, relative_absolute_error: 0.9478, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4947, root_relative_squared_error: 0.9895, scimark_benchmark: 1723.0479, usercpu_time_millis: 316.859, usercpu_time_millis_testing: 1.276, usercpu_time_millis_training: 315.583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6082, f_measure: 0.5741, kappa: 0.1485, kb_relative_information_score: 78.0887, mean_absolute_error: 0.4734, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5743, predictive_accuracy: 0.5743, prior_entropy: 1, recall: 0.5743, relative_absolute_error: 0.9468, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4941, root_relative_squared_error: 0.9883, scimark_benchmark: 1730.3001, usercpu_time_millis: 234.121, usercpu_time_millis_testing: 0.82, usercpu_time_millis_training: 233.301,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5961, f_measure: 0.5776, kappa: 0.1551, kb_relative_information_score: 69.5725, mean_absolute_error: 0.4764, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5776, predictive_accuracy: 0.5776, prior_entropy: 1, recall: 0.5776, relative_absolute_error: 0.9529, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4971, root_relative_squared_error: 0.9941, scimark_benchmark: 1724.3964, usercpu_time_millis: 206.127, usercpu_time_millis_testing: 0.653, usercpu_time_millis_training: 205.474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5784, f_measure: 0.5511, kappa: 0.1023, kb_relative_information_score: 50.8115, mean_absolute_error: 0.4829, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5512, predictive_accuracy: 0.5512, prior_entropy: 1, recall: 0.5512, relative_absolute_error: 0.9658, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4985, root_relative_squared_error: 0.997, scimark_benchmark: 1750.3868, usercpu_time_millis: 55.72, usercpu_time_millis_testing: 1.039, usercpu_time_millis_training: 54.681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6117, f_measure: 0.5849, kappa: 0.17, kb_relative_information_score: 102.7235, mean_absolute_error: 0.4636, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.585, predictive_accuracy: 0.585, prior_entropy: 1, recall: 0.585, relative_absolute_error: 0.9272, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4998, root_relative_squared_error: 0.9997, scimark_benchmark: 1747.0307, usercpu_time_millis: 45.61, usercpu_time_millis_testing: 0.408, usercpu_time_millis_training: 45.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5679, f_measure: 0.5408, kappa: 0.0825, kb_relative_information_score: 38.7324, mean_absolute_error: 0.4872, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5414, predictive_accuracy: 0.5413, prior_entropy: 1, recall: 0.5413, relative_absolute_error: 0.9743, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.498, root_relative_squared_error: 0.996, scimark_benchmark: 1741.2968, usercpu_time_millis: 16.368, usercpu_time_millis_testing: 0.366, usercpu_time_millis_training: 16.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5126, f_measure: 0.4925, kappa: -0.0066, kb_relative_information_score: 12.2594, mean_absolute_error: 0.4959, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4966, predictive_accuracy: 0.4967, prior_entropy: 1, recall: 0.4967, relative_absolute_error: 0.9917, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0008, scimark_benchmark: 1750.7876, usercpu_time_millis: 1.486, usercpu_time_millis_testing: 0.104, usercpu_time_millis_training: 1.382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5306, f_measure: 0.5052, kappa: 0.0132, kb_relative_information_score: 19.8233, mean_absolute_error: 0.4933, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5067, predictive_accuracy: 0.5066, prior_entropy: 1, recall: 0.5066, relative_absolute_error: 0.9866, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4999, root_relative_squared_error: 0.9998, scimark_benchmark: 1739.0223, usercpu_time_millis: 62.462, usercpu_time_millis_testing: 0.603, usercpu_time_millis_training: 61.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5912, f_measure: 0.5593, kappa: 0.1188, kb_relative_information_score: 61.5642, mean_absolute_error: 0.4791, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5594, predictive_accuracy: 0.5594, prior_entropy: 1, recall: 0.5594, relative_absolute_error: 0.9583, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4961, root_relative_squared_error: 0.9922, scimark_benchmark: 1745.3086, usercpu_time_millis: 81.012, usercpu_time_millis_testing: 0.437, usercpu_time_millis_training: 80.575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5792, f_measure: 0.5578, kappa: 0.1155, kb_relative_information_score: 54.8323, mean_absolute_error: 0.4815, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5578, predictive_accuracy: 0.5578, prior_entropy: 1, recall: 0.5578, relative_absolute_error: 0.963, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5006, root_relative_squared_error: 1.0012, scimark_benchmark: 1803.0507, usercpu_time_millis: 29.129, usercpu_time_millis_testing: 1.227, usercpu_time_millis_training: 27.902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5982, f_measure: 0.57, kappa: 0.1403, kb_relative_information_score: 76.7386, mean_absolute_error: 0.4736, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5702, predictive_accuracy: 0.5701, prior_entropy: 1, recall: 0.5701, relative_absolute_error: 0.9471, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4979, root_relative_squared_error: 0.9959, scimark_benchmark: 1744.9079, usercpu_time_millis: 12.618, usercpu_time_millis_testing: 0.223, usercpu_time_millis_training: 12.395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5363, f_measure: 0.5166, kappa: 0.038, kb_relative_information_score: 13.9852, mean_absolute_error: 0.4956, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5194, predictive_accuracy: 0.519, prior_entropy: 1, recall: 0.519, relative_absolute_error: 0.9912, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4986, root_relative_squared_error: 0.9972, scimark_benchmark: 1754.6748, usercpu_time_millis: 57.469, usercpu_time_millis_testing: 0.303, usercpu_time_millis_training: 57.166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5305, f_measure: 0.501, kappa: 0.005, kb_relative_information_score: 20.252, mean_absolute_error: 0.4931, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5025, predictive_accuracy: 0.5025, prior_entropy: 1, recall: 0.5025, relative_absolute_error: 0.9862, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5006, root_relative_squared_error: 1.0012, scimark_benchmark: 1712.5144, usercpu_time_millis: 4.322, usercpu_time_millis_testing: 0.215, usercpu_time_millis_training: 4.107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, f_measure: 0.4775, kappa: -0.0033, kb_relative_information_score: -0.0057, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.498, predictive_accuracy: 0.4984, prior_entropy: 1, recall: 0.4984, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1744.9079, usercpu_time_millis: 2.71, usercpu_time_millis_testing: 0.433, usercpu_time_millis_training: 2.277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.4775, kappa: -0.0033, kb_relative_information_score: -0.0049, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.498, predictive_accuracy: 0.4984, prior_entropy: 1, recall: 0.4984, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1747.0307, usercpu_time_millis: 2.227, usercpu_time_millis_testing: 0.329, usercpu_time_millis_training: 1.898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6017, f_measure: 0.5734, kappa: 0.1469, kb_relative_information_score: 71.4456, mean_absolute_error: 0.4757, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5735, predictive_accuracy: 0.5734, prior_entropy: 1, recall: 0.5734, relative_absolute_error: 0.9515, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4949, root_relative_squared_error: 0.9899, scimark_benchmark: 1739.8782, usercpu_time_millis: 29.837, usercpu_time_millis_testing: 0.337, usercpu_time_millis_training: 29.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5594, f_measure: 0.534, kappa: 0.0693, kb_relative_information_score: 33.0461, mean_absolute_error: 0.489, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5349, predictive_accuracy: 0.5347, prior_entropy: 1, recall: 0.5347, relative_absolute_error: 0.978, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4983, root_relative_squared_error: 0.9966, scimark_benchmark: 1745.3654, usercpu_time_millis: 8.883, usercpu_time_millis_testing: 0.171, usercpu_time_millis_training: 8.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5802, f_measure: 0.5594, kappa: 0.1188, kb_relative_information_score: 51.5022, mean_absolute_error: 0.4826, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5594, predictive_accuracy: 0.5594, prior_entropy: 1, recall: 0.5594, relative_absolute_error: 0.9653, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4976, root_relative_squared_error: 0.9952, scimark_benchmark: 1744.5659, usercpu_time_millis: 15.019, usercpu_time_millis_testing: 0.359, usercpu_time_millis_training: 14.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5272, f_measure: 0.5276, kappa: 0.0561, kb_relative_information_score: 7.1302, mean_absolute_error: 0.4978, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5282, predictive_accuracy: 0.5281, prior_entropy: 1, recall: 0.5281, relative_absolute_error: 0.9957, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4999, root_relative_squared_error: 0.9998, scimark_benchmark: 1742.2915, usercpu_time_millis: 1.361, usercpu_time_millis_testing: 0.069, usercpu_time_millis_training: 1.292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4962, f_measure: 0.4925, kappa: -0.005, kb_relative_information_score: -0.0229, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4974, predictive_accuracy: 0.4975, prior_entropy: 1, recall: 0.4975, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1794.0878, usercpu_time_millis: 1.215, usercpu_time_millis_testing: 0.219, usercpu_time_millis_training: 0.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6098, f_measure: 0.579, kappa: 0.1584, kb_relative_information_score: 112.087, mean_absolute_error: 0.4593, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5794, predictive_accuracy: 0.5792, prior_entropy: 1, recall: 0.5792, relative_absolute_error: 0.9186, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5051, root_relative_squared_error: 1.0101, scimark_benchmark: 1380.1223, usercpu_time_millis: 808.678, usercpu_time_millis_testing: 2.401, usercpu_time_millis_training: 806.277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6127, f_measure: 0.5788, kappa: 0.1584, kb_relative_information_score: 96.6807, mean_absolute_error: 0.4662, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5795, predictive_accuracy: 0.5792, prior_entropy: 1, recall: 0.5792, relative_absolute_error: 0.9324, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4969, root_relative_squared_error: 0.9938, scimark_benchmark: 1440.2345, usercpu_time_millis: 294.153, usercpu_time_millis_testing: 1.679, usercpu_time_millis_training: 292.474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6159, f_measure: 0.5944, kappa: 0.1898, kb_relative_information_score: 101.4519, mean_absolute_error: 0.4645, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5953, predictive_accuracy: 0.5949, prior_entropy: 1, recall: 0.5949, relative_absolute_error: 0.929, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4965, root_relative_squared_error: 0.9931, scimark_benchmark: 1376.3457, usercpu_time_millis: 151.867, usercpu_time_millis_testing: 0.515, usercpu_time_millis_training: 151.352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5929, f_measure: 0.5685, kappa: 0.137, kb_relative_information_score: 67.0156, mean_absolute_error: 0.4772, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5685, predictive_accuracy: 0.5685, prior_entropy: 1, recall: 0.5685, relative_absolute_error: 0.9544, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4975, root_relative_squared_error: 0.9951, scimark_benchmark: 1373.0656, usercpu_time_millis: 230.45, usercpu_time_millis_testing: 1.31, usercpu_time_millis_training: 229.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.57, f_measure: 0.5309, kappa: 0.0627, kb_relative_information_score: 40.2503, mean_absolute_error: 0.4866, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5315, predictive_accuracy: 0.5314, prior_entropy: 1, recall: 0.5314, relative_absolute_error: 0.9731, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4973, root_relative_squared_error: 0.9945, scimark_benchmark: 1372.4972, usercpu_time_millis: 166.34, usercpu_time_millis_testing: 0.873, usercpu_time_millis_training: 165.467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5913, f_measure: 0.5585, kappa: 0.1172, kb_relative_information_score: 69.1332, mean_absolute_error: 0.4761, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5586, predictive_accuracy: 0.5586, prior_entropy: 1, recall: 0.5586, relative_absolute_error: 0.9521, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4975, root_relative_squared_error: 0.9949, scimark_benchmark: 1431.0691, usercpu_time_millis: 7.352, usercpu_time_millis_testing: 0.095, usercpu_time_millis_training: 7.257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.559, f_measure: 0.537, kappa: 0.0743, kb_relative_information_score: 35.0883, mean_absolute_error: 0.4882, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5372, predictive_accuracy: 0.5371, prior_entropy: 1, recall: 0.5371, relative_absolute_error: 0.9764, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4987, root_relative_squared_error: 0.9975, scimark_benchmark: 1379.9464, usercpu_time_millis: 10.289, usercpu_time_millis_testing: 0.43, usercpu_time_millis_training: 9.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5871, f_measure: 0.5594, kappa: 0.1188, kb_relative_information_score: 54.9187, mean_absolute_error: 0.4817, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5594, predictive_accuracy: 0.5594, prior_entropy: 1, recall: 0.5594, relative_absolute_error: 0.9634, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4961, root_relative_squared_error: 0.9923, scimark_benchmark: 1380.6757, usercpu_time_millis: 112.587, usercpu_time_millis_testing: 0.609, usercpu_time_millis_training: 111.978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6148, f_measure: 0.579, kappa: 0.1584, kb_relative_information_score: 89.5105, mean_absolute_error: 0.4693, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5794, predictive_accuracy: 0.5792, prior_entropy: 1, recall: 0.5792, relative_absolute_error: 0.9386, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4943, root_relative_squared_error: 0.9886, scimark_benchmark: 1383.394, usercpu_time_millis: 119.188, usercpu_time_millis_testing: 0.867, usercpu_time_millis_training: 118.321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5256, f_measure: 0.518, kappa: 0.0396, kb_relative_information_score: 7.7746, mean_absolute_error: 0.4976, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5201, predictive_accuracy: 0.5198, prior_entropy: 1, recall: 0.5198, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4997, root_relative_squared_error: 0.9993, scimark_benchmark: 1376.3807, usercpu_time_millis: 15.493, usercpu_time_millis_testing: 0.127, usercpu_time_millis_training: 15.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6086, f_measure: 0.5782, kappa: 0.1568, kb_relative_information_score: 78.6813, mean_absolute_error: 0.4732, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5785, predictive_accuracy: 0.5784, prior_entropy: 1, recall: 0.5784, relative_absolute_error: 0.9465, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4942, root_relative_squared_error: 0.9884, scimark_benchmark: 1379.7834, usercpu_time_millis: 251.398, usercpu_time_millis_testing: 1.466, usercpu_time_millis_training: 249.932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5453, f_measure: 0.5252, kappa: 0.0512, kb_relative_information_score: 28.6882, mean_absolute_error: 0.4903, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5257, predictive_accuracy: 0.5256, prior_entropy: 1, recall: 0.5256, relative_absolute_error: 0.9805, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5026, root_relative_squared_error: 1.0052, scimark_benchmark: 1381.4078, usercpu_time_millis: 4.236, usercpu_time_millis_testing: 0.356, usercpu_time_millis_training: 3.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5836, f_measure: 0.5485, kappa: 0.0974, kb_relative_information_score: 55.3531, mean_absolute_error: 0.4812, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5487, predictive_accuracy: 0.5487, prior_entropy: 1, recall: 0.5487, relative_absolute_error: 0.9625, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.497, root_relative_squared_error: 0.9941, scimark_benchmark: 1372.6082, usercpu_time_millis: 33.447, usercpu_time_millis_testing: 0.165, usercpu_time_millis_training: 33.282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5681, f_measure: 0.5296, kappa: 0.0594, kb_relative_information_score: 42.7773, mean_absolute_error: 0.4855, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5297, predictive_accuracy: 0.5297, prior_entropy: 1, recall: 0.5297, relative_absolute_error: 0.971, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4976, root_relative_squared_error: 0.9953, scimark_benchmark: 1376.9145, usercpu_time_millis: 17.577, usercpu_time_millis_testing: 0.185, usercpu_time_millis_training: 17.392,

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