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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: 0.5985, f_measure: 0.5666, kappa: 0.1337, kb_relative_information_score: 68.2569, mean_absolute_error: 0.4768, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5669, predictive_accuracy: 0.5668, prior_entropy: 1, recall: 0.5668, relative_absolute_error: 0.9536, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4953, root_relative_squared_error: 0.9905, scimark_benchmark: 1375.8679, usercpu_time_millis: 33.776, usercpu_time_millis_testing: 0.262, usercpu_time_millis_training: 33.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6105, f_measure: 0.5873, kappa: 0.1749, kb_relative_information_score: 102.1697, mean_absolute_error: 0.4636, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5876, predictive_accuracy: 0.5875, prior_entropy: 1, recall: 0.5875, relative_absolute_error: 0.9273, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0003, scimark_benchmark: 1377.9828, usercpu_time_millis: 60.234, usercpu_time_millis_testing: 0.332, usercpu_time_millis_training: 59.902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5912, f_measure: 0.5644, kappa: 0.1287, kb_relative_information_score: 66.8153, mean_absolute_error: 0.4771, 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: 0.9542, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4981, root_relative_squared_error: 0.9963, scimark_benchmark: 1385.4262, usercpu_time_millis: 73.709, usercpu_time_millis_testing: 0.326, usercpu_time_millis_training: 73.383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5203, f_measure: 0.5275, kappa: 0.0561, kb_relative_information_score: 5.6986, mean_absolute_error: 0.4983, 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: 0.9966, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0002, scimark_benchmark: 1382.9738, usercpu_time_millis: 17.335, usercpu_time_millis_testing: 0.444, usercpu_time_millis_training: 16.891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5982, f_measure: 0.5693, kappa: 0.1386, kb_relative_information_score: 75.6313, mean_absolute_error: 0.474, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5693, predictive_accuracy: 0.5693, prior_entropy: 1, recall: 0.5693, relative_absolute_error: 0.9479, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4982, root_relative_squared_error: 0.9963, scimark_benchmark: 1381.6957, usercpu_time_millis: 278.176, usercpu_time_millis_testing: 0.913, usercpu_time_millis_training: 277.263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6084, f_measure: 0.5783, kappa: 0.1568, kb_relative_information_score: 80.9084, mean_absolute_error: 0.4723, 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: 0.9446, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4944, root_relative_squared_error: 0.9889, scimark_benchmark: 1380.0295, usercpu_time_millis: 38.112, usercpu_time_millis_testing: 0.439, usercpu_time_millis_training: 37.673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5194, f_measure: 0.5287, kappa: 0.0594, kb_relative_information_score: 5.9217, mean_absolute_error: 0.4982, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.53, predictive_accuracy: 0.5297, prior_entropy: 1, recall: 0.5297, relative_absolute_error: 0.9964, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0002, scimark_benchmark: 1387.9309, usercpu_time_millis: 16.326, usercpu_time_millis_testing: 0.299, usercpu_time_millis_training: 16.027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.4775, kappa: -0.0033, kb_relative_information_score: -0.0021, 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: 1371.5423, usercpu_time_millis: 1.295, usercpu_time_millis_testing: 0.237, usercpu_time_millis_training: 1.058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5555, f_measure: 0.5243, kappa: 0.0495, kb_relative_information_score: 33.3754, mean_absolute_error: 0.4888, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5249, predictive_accuracy: 0.5248, prior_entropy: 1, recall: 0.5248, relative_absolute_error: 0.9775, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4991, root_relative_squared_error: 0.9982, scimark_benchmark: 1381.5136, usercpu_time_millis: 19.546, usercpu_time_millis_testing: 0.577, usercpu_time_millis_training: 18.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.579, f_measure: 0.5486, kappa: 0.0974, kb_relative_information_score: 49.8982, mean_absolute_error: 0.4832, 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: 0.9664, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4978, root_relative_squared_error: 0.9956, scimark_benchmark: 1378.0092, usercpu_time_millis: 8.637, usercpu_time_millis_testing: 0.219, usercpu_time_millis_training: 8.418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5926, f_measure: 0.571, kappa: 0.1419, kb_relative_information_score: 65.2929, mean_absolute_error: 0.4778, 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: 0.9556, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.497, root_relative_squared_error: 0.994, scimark_benchmark: 1377.3409, usercpu_time_millis: 182.531, usercpu_time_millis_testing: 0.607, usercpu_time_millis_training: 181.924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5812, f_measure: 0.5568, kappa: 0.1139, kb_relative_information_score: 48.1985, mean_absolute_error: 0.484, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.557, predictive_accuracy: 0.5569, prior_entropy: 1, recall: 0.5569, relative_absolute_error: 0.968, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4962, root_relative_squared_error: 0.9924, scimark_benchmark: 1383.9344, usercpu_time_millis: 125.502, usercpu_time_millis_testing: 0.325, usercpu_time_millis_training: 125.177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.596, f_measure: 0.5743, kappa: 0.1485, kb_relative_information_score: 72.0541, mean_absolute_error: 0.4752, 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: 0.9504, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4974, root_relative_squared_error: 0.9948, scimark_benchmark: 1366.0169, usercpu_time_millis: 39.453, usercpu_time_millis_testing: 0.264, usercpu_time_millis_training: 39.189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5256, f_measure: 0.526, kappa: 0.0545, kb_relative_information_score: 7.8286, mean_absolute_error: 0.4976, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5275, predictive_accuracy: 0.5272, prior_entropy: 1, recall: 0.5272, 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: 1383.237, usercpu_time_millis: 44.342, usercpu_time_millis_testing: 0.422, usercpu_time_millis_training: 43.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5994, f_measure: 0.5665, kappa: 0.1337, kb_relative_information_score: 77.3705, mean_absolute_error: 0.4733, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.567, predictive_accuracy: 0.5668, prior_entropy: 1, recall: 0.5668, relative_absolute_error: 0.9467, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.498, root_relative_squared_error: 0.996, scimark_benchmark: 1383.4896, usercpu_time_millis: 26.347, usercpu_time_millis_testing: 0.22, usercpu_time_millis_training: 26.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.53, f_measure: 0.511, kappa: 0.0281, kb_relative_information_score: 12.472, mean_absolute_error: 0.496, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5144, predictive_accuracy: 0.514, prior_entropy: 1, recall: 0.514, relative_absolute_error: 0.9921, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4994, root_relative_squared_error: 0.9988, scimark_benchmark: 1372.034, usercpu_time_millis: 9.786, usercpu_time_millis_testing: 0.225, usercpu_time_millis_training: 9.561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5322, f_measure: 0.5158, kappa: 0.0363, kb_relative_information_score: 17.643, mean_absolute_error: 0.4942, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5185, predictive_accuracy: 0.5182, prior_entropy: 1, recall: 0.5182, relative_absolute_error: 0.9884, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4997, root_relative_squared_error: 0.9994, scimark_benchmark: 1356.4025, usercpu_time_millis: 3.921, usercpu_time_millis_testing: 0.092, usercpu_time_millis_training: 3.829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5826, f_measure: 0.561, kappa: 0.1221, kb_relative_information_score: 56.125, mean_absolute_error: 0.481, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5611, predictive_accuracy: 0.5611, prior_entropy: 1, recall: 0.5611, relative_absolute_error: 0.962, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4982, root_relative_squared_error: 0.9965, scimark_benchmark: 1378.5587, usercpu_time_millis: 112.187, usercpu_time_millis_testing: 1.125, usercpu_time_millis_training: 111.062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5142, f_measure: 0.5179, kappa: 0.0363, kb_relative_information_score: 3.9095, mean_absolute_error: 0.4988, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5182, predictive_accuracy: 0.5182, prior_entropy: 1, recall: 0.5182, relative_absolute_error: 0.9977, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0008, scimark_benchmark: 1372.9856, usercpu_time_millis: 38.745, usercpu_time_millis_testing: 0.469, usercpu_time_millis_training: 38.276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.4782, kappa: -0.0017, kb_relative_information_score: -0.0107, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.499, 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: 1381.0439, usercpu_time_millis: 1.214, usercpu_time_millis_testing: 0.227, usercpu_time_millis_training: 0.987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5748, f_measure: 0.5486, kappa: 0.0974, kb_relative_information_score: 49.3123, mean_absolute_error: 0.4833, 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: 0.9667, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4995, root_relative_squared_error: 0.999, scimark_benchmark: 1377.476, usercpu_time_millis: 43.882, usercpu_time_millis_testing: 1.397, usercpu_time_millis_training: 42.485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5581, f_measure: 0.5327, kappa: 0.0677, kb_relative_information_score: 32.0264, mean_absolute_error: 0.4893, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5342, predictive_accuracy: 0.5338, prior_entropy: 1, recall: 0.5338, relative_absolute_error: 0.9787, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4982, root_relative_squared_error: 0.9964, scimark_benchmark: 1376.4653, usercpu_time_millis: 88.276, usercpu_time_millis_testing: 0.688, usercpu_time_millis_training: 87.588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5066, f_measure: 0.5126, kappa: 0.0264, kb_relative_information_score: 3.0902, mean_absolute_error: 0.4991, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5133, predictive_accuracy: 0.5132, prior_entropy: 1, recall: 0.5132, relative_absolute_error: 0.9982, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5006, root_relative_squared_error: 1.0013, scimark_benchmark: 1374.0554, usercpu_time_millis: 0.784, usercpu_time_millis_testing: 0.146, usercpu_time_millis_training: 0.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.595, f_measure: 0.571, kappa: 0.1419, kb_relative_information_score: 69.9994, mean_absolute_error: 0.4761, 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: 0.9522, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4978, root_relative_squared_error: 0.9956, scimark_benchmark: 1384.0483, usercpu_time_millis: 154.834, usercpu_time_millis_testing: 1.067, usercpu_time_millis_training: 153.767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5901, f_measure: 0.5533, kappa: 0.1073, kb_relative_information_score: 57.6483, mean_absolute_error: 0.4805, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5538, predictive_accuracy: 0.5536, prior_entropy: 1, recall: 0.5536, relative_absolute_error: 0.961, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4955, root_relative_squared_error: 0.9909, scimark_benchmark: 1381.0088, usercpu_time_millis: 187.772, usercpu_time_millis_testing: 0.953, usercpu_time_millis_training: 186.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5854, f_measure: 0.5586, kappa: 0.1172, kb_relative_information_score: 58.0529, mean_absolute_error: 0.4803, 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: 0.9606, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4977, root_relative_squared_error: 0.9953, scimark_benchmark: 1381.9219, usercpu_time_millis: 51.19, usercpu_time_millis_testing: 0.48, usercpu_time_millis_training: 50.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6174, f_measure: 0.5813, kappa: 0.1634, kb_relative_information_score: 91.7189, mean_absolute_error: 0.4684, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.582, predictive_accuracy: 0.5817, prior_entropy: 1, recall: 0.5817, relative_absolute_error: 0.9369, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4932, root_relative_squared_error: 0.9865, scimark_benchmark: 1389.832, usercpu_time_millis: 80.264, usercpu_time_millis_testing: 0.516, usercpu_time_millis_training: 79.748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5107, f_measure: 0.5161, kappa: 0.0347, kb_relative_information_score: 4.5166, mean_absolute_error: 0.4986, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5175, predictive_accuracy: 0.5173, prior_entropy: 1, recall: 0.5173, relative_absolute_error: 0.9972, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.001, scimark_benchmark: 1382.5493, usercpu_time_millis: 30.048, usercpu_time_millis_testing: 0.257, usercpu_time_millis_training: 29.791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6015, f_measure: 0.5709, kappa: 0.1419, kb_relative_information_score: 75.9949, mean_absolute_error: 0.474, 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: 0.948, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4968, root_relative_squared_error: 0.9936, scimark_benchmark: 1380.7784, usercpu_time_millis: 30.906, usercpu_time_millis_testing: 0.219, usercpu_time_millis_training: 30.687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6032, f_measure: 0.5815, kappa: 0.1634, kb_relative_information_score: 75.2538, mean_absolute_error: 0.4744, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5818, predictive_accuracy: 0.5817, prior_entropy: 1, recall: 0.5817, relative_absolute_error: 0.9487, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4957, root_relative_squared_error: 0.9915, scimark_benchmark: 1374.613, usercpu_time_millis: 52.743, usercpu_time_millis_testing: 0.389, usercpu_time_millis_training: 52.354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5196, f_measure: 0.4985, kappa: 0.0033, kb_relative_information_score: 10.754, mean_absolute_error: 0.4965, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5017, predictive_accuracy: 0.5017, prior_entropy: 1, recall: 0.5017, relative_absolute_error: 0.993, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4999, root_relative_squared_error: 0.9998, scimark_benchmark: 1382.295, usercpu_time_millis: 9.683, usercpu_time_millis_testing: 0.46, usercpu_time_millis_training: 9.223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5619, f_measure: 0.5385, kappa: 0.0776, kb_relative_information_score: 36.177, mean_absolute_error: 0.4879, 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: 0.9758, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4981, root_relative_squared_error: 0.9962, scimark_benchmark: 1384.6266, usercpu_time_millis: 20.224, usercpu_time_millis_testing: 0.146, usercpu_time_millis_training: 20.078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5174, f_measure: 0.5087, kappa: 0.0231, kb_relative_information_score: 10.4462, mean_absolute_error: 0.4966, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5118, predictive_accuracy: 0.5116, prior_entropy: 1, recall: 0.5116, relative_absolute_error: 0.9932, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 0.9999, scimark_benchmark: 1373.7834, usercpu_time_millis: 5.801, usercpu_time_millis_testing: 0.265, usercpu_time_millis_training: 5.536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6098, f_measure: 0.5758, kappa: 0.1518, kb_relative_information_score: 85.585, mean_absolute_error: 0.4706, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.576, predictive_accuracy: 0.5759, prior_entropy: 1, recall: 0.5759, relative_absolute_error: 0.9411, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4955, root_relative_squared_error: 0.9909, scimark_benchmark: 1377.7163, usercpu_time_millis: 46.625, usercpu_time_millis_testing: 0.892, usercpu_time_millis_training: 45.733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5826, f_measure: 0.5561, kappa: 0.1122, kb_relative_information_score: 53.3117, mean_absolute_error: 0.482, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5561, predictive_accuracy: 0.5561, prior_entropy: 1, recall: 0.5561, relative_absolute_error: 0.9641, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.497, root_relative_squared_error: 0.9939, scimark_benchmark: 1360.0817, usercpu_time_millis: 327.105, usercpu_time_millis_testing: 0.92, usercpu_time_millis_training: 326.185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.555, f_measure: 0.539, kappa: 0.0825, kb_relative_information_score: 24.2736, mean_absolute_error: 0.4922, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5421, predictive_accuracy: 0.5413, prior_entropy: 1, recall: 0.5413, relative_absolute_error: 0.9844, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4973, root_relative_squared_error: 0.9947, scimark_benchmark: 1373.1506, usercpu_time_millis: 103.997, usercpu_time_millis_testing: 0.57, usercpu_time_millis_training: 103.427,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5626, f_measure: 0.528, kappa: 0.0561, kb_relative_information_score: 39.7614, mean_absolute_error: 0.4865, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5281, predictive_accuracy: 0.5281, prior_entropy: 1, recall: 0.5281, relative_absolute_error: 0.973, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4982, root_relative_squared_error: 0.9964, scimark_benchmark: 1379.1552, usercpu_time_millis: 74.431, usercpu_time_millis_testing: 0.682, usercpu_time_millis_training: 73.749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5979, f_measure: 0.5693, kappa: 0.1386, kb_relative_information_score: 99.1874, mean_absolute_error: 0.4643, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5693, predictive_accuracy: 0.5693, prior_entropy: 1, recall: 0.5693, relative_absolute_error: 0.9287, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5081, root_relative_squared_error: 1.0163, scimark_benchmark: 1382.0561, usercpu_time_millis: 88.469, usercpu_time_millis_testing: 0.237, usercpu_time_millis_training: 88.232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5981, f_measure: 0.5765, kappa: 0.1535, kb_relative_information_score: 65.6842, mean_absolute_error: 0.4779, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5769, predictive_accuracy: 0.5767, prior_entropy: 1, recall: 0.5767, relative_absolute_error: 0.9557, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4952, root_relative_squared_error: 0.9903, scimark_benchmark: 1382.6312, usercpu_time_millis: 26.807, usercpu_time_millis_testing: 0.308, usercpu_time_millis_training: 26.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5972, f_measure: 0.5776, kappa: 0.1551, kb_relative_information_score: 77.5105, mean_absolute_error: 0.4735, 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: 0.9469, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4991, root_relative_squared_error: 0.9981, scimark_benchmark: 1373.1795, usercpu_time_millis: 238.86, usercpu_time_millis_testing: 0.473, usercpu_time_millis_training: 238.387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4965, f_measure: 0.4915, kappa: -0.0066, kb_relative_information_score: -0.02, mean_absolute_error: 0.5, 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: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1379.3041, usercpu_time_millis: 1.137, usercpu_time_millis_testing: 0.175, usercpu_time_millis_training: 0.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5655, f_measure: 0.5435, kappa: 0.0891, kb_relative_information_score: 31.6201, mean_absolute_error: 0.4897, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.545, predictive_accuracy: 0.5446, prior_entropy: 1, recall: 0.5446, relative_absolute_error: 0.9794, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4966, root_relative_squared_error: 0.9931, scimark_benchmark: 1380.7568, usercpu_time_millis: 133.984, usercpu_time_millis_testing: 0.323, usercpu_time_millis_training: 133.661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5816, f_measure: 0.5426, kappa: 0.0858, kb_relative_information_score: 47.9703, mean_absolute_error: 0.484, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.543, predictive_accuracy: 0.5429, prior_entropy: 1, recall: 0.5429, relative_absolute_error: 0.968, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.496, root_relative_squared_error: 0.992, scimark_benchmark: 1361.8554, usercpu_time_millis: 54.21, usercpu_time_millis_testing: 0.202, usercpu_time_millis_training: 54.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5187, f_measure: 0.5272, kappa: 0.0545, kb_relative_information_score: 3.9478, mean_absolute_error: 0.4989, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5272, predictive_accuracy: 0.5272, prior_entropy: 1, recall: 0.5272, relative_absolute_error: 0.9977, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0009, scimark_benchmark: 1373.3459, usercpu_time_millis: 10.525, usercpu_time_millis_testing: 0.437, usercpu_time_millis_training: 10.088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5867, f_measure: 0.5619, kappa: 0.1238, kb_relative_information_score: 57.653, mean_absolute_error: 0.4806, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5619, predictive_accuracy: 0.5619, prior_entropy: 1, recall: 0.5619, relative_absolute_error: 0.9613, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.497, root_relative_squared_error: 0.9939, scimark_benchmark: 1371.6559, usercpu_time_millis: 141.52, usercpu_time_millis_testing: 0.271, usercpu_time_millis_training: 141.249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5487, f_measure: 0.5229, kappa: 0.0462, kb_relative_information_score: 31.2343, mean_absolute_error: 0.4894, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5231, predictive_accuracy: 0.5231, prior_entropy: 1, recall: 0.5231, relative_absolute_error: 0.9787, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4997, root_relative_squared_error: 0.9993, scimark_benchmark: 1365.0731, usercpu_time_millis: 43.487, usercpu_time_millis_testing: 0.741, usercpu_time_millis_training: 42.746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5219, f_measure: 0.5266, kappa: 0.0561, kb_relative_information_score: 7.4444, mean_absolute_error: 0.4977, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5284, predictive_accuracy: 0.5281, prior_entropy: 1, recall: 0.5281, relative_absolute_error: 0.9955, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4999, root_relative_squared_error: 0.9997, scimark_benchmark: 1382.8648, usercpu_time_millis: 2.166, usercpu_time_millis_testing: 0.135, usercpu_time_millis_training: 2.031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5697, f_measure: 0.531, kappa: 0.0627, kb_relative_information_score: 42.1188, mean_absolute_error: 0.4858, 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: 0.9715, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4977, root_relative_squared_error: 0.9953, scimark_benchmark: 1371.1274, usercpu_time_millis: 103.402, usercpu_time_millis_testing: 0.842, usercpu_time_millis_training: 102.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6147, f_measure: 0.5831, kappa: 0.1667, kb_relative_information_score: 95.9647, mean_absolute_error: 0.4666, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5836, predictive_accuracy: 0.5833, prior_entropy: 1, recall: 0.5833, relative_absolute_error: 0.9332, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4955, root_relative_squared_error: 0.9909, scimark_benchmark: 1365.2799, usercpu_time_millis: 87.231, usercpu_time_millis_testing: 0.622, usercpu_time_millis_training: 86.609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5254, f_measure: 0.5189, kappa: 0.0413, kb_relative_information_score: 9.9359, mean_absolute_error: 0.4969, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5209, predictive_accuracy: 0.5206, prior_entropy: 1, recall: 0.5206, relative_absolute_error: 0.9938, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4995, root_relative_squared_error: 0.9989, scimark_benchmark: 1378.5697, usercpu_time_millis: 23.98, usercpu_time_millis_testing: 0.442, usercpu_time_millis_training: 23.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5838, f_measure: 0.556, kappa: 0.1122, kb_relative_information_score: 51.347, mean_absolute_error: 0.483, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5562, predictive_accuracy: 0.5561, prior_entropy: 1, recall: 0.5561, relative_absolute_error: 0.9659, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4973, root_relative_squared_error: 0.9946, scimark_benchmark: 1371.5432, usercpu_time_millis: 44.355, usercpu_time_millis_testing: 0.142, usercpu_time_millis_training: 44.213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4965, f_measure: 0.4975, kappa: -0.005, kb_relative_information_score: -0.0139, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4975, predictive_accuracy: 0.4975, prior_entropy: 1, recall: 0.4975, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1369.2393, usercpu_time_millis: 2.324, usercpu_time_millis_testing: 0.338, usercpu_time_millis_training: 1.986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5185, f_measure: 0.5247, kappa: 0.0495, kb_relative_information_score: 4.317, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5248, predictive_accuracy: 0.5248, prior_entropy: 1, recall: 0.5248, relative_absolute_error: 0.9974, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0008, scimark_benchmark: 1369.6193, usercpu_time_millis: 0.718, usercpu_time_millis_testing: 0.078, usercpu_time_millis_training: 0.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.4949, kb_relative_information_score: -0.0052, 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: 1369.3181, usercpu_time_millis: 0.815, usercpu_time_millis_testing: 0.107, usercpu_time_millis_training: 0.708,
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: 1703.805, usercpu_time_millis: 2.467, usercpu_time_millis_testing: 0.46, usercpu_time_millis_training: 2.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6029, f_measure: 0.5759, kappa: 0.1518, kb_relative_information_score: 83.7023, mean_absolute_error: 0.471, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5759, predictive_accuracy: 0.5759, prior_entropy: 1, recall: 0.5759, relative_absolute_error: 0.942, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4981, root_relative_squared_error: 0.9963, scimark_benchmark: 1762.9709, usercpu_time_millis: 601.238, usercpu_time_millis_testing: 1.15, usercpu_time_millis_training: 600.088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5816, f_measure: 0.5519, kappa: 0.104, kb_relative_information_score: 51.3524, mean_absolute_error: 0.4828, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.552, predictive_accuracy: 0.552, prior_entropy: 1, recall: 0.552, relative_absolute_error: 0.9656, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4967, root_relative_squared_error: 0.9934, scimark_benchmark: 2139.83, usercpu_time_millis: 201.505, usercpu_time_millis_testing: 0.577, usercpu_time_millis_training: 200.928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5819, f_measure: 0.5564, kappa: 0.1139, kb_relative_information_score: 41.686, mean_absolute_error: 0.4864, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5572, predictive_accuracy: 0.5569, prior_entropy: 1, recall: 0.5569, relative_absolute_error: 0.9728, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4972, root_relative_squared_error: 0.9944, scimark_benchmark: 1748.3991, usercpu_time_millis: 160.264, usercpu_time_millis_testing: 0.542, usercpu_time_millis_training: 159.722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6049, f_measure: 0.5732, kappa: 0.1469, kb_relative_information_score: 80.0567, mean_absolute_error: 0.4725, 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: 0.9451, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4964, root_relative_squared_error: 0.9928, scimark_benchmark: 1765.9721, usercpu_time_millis: 149.066, usercpu_time_millis_testing: 0.594, usercpu_time_millis_training: 148.472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5812, f_measure: 0.5617, kappa: 0.1238, kb_relative_information_score: 47.54, mean_absolute_error: 0.4843, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.562, predictive_accuracy: 0.5619, prior_entropy: 1, recall: 0.5619, relative_absolute_error: 0.9686, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4968, root_relative_squared_error: 0.9936, scimark_benchmark: 2146.4758, usercpu_time_millis: 132.476, usercpu_time_millis_testing: 0.33, usercpu_time_millis_training: 132.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6053, f_measure: 0.5891, kappa: 0.1782, kb_relative_information_score: 100.4198, mean_absolute_error: 0.4644, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5891, predictive_accuracy: 0.5891, prior_entropy: 1, recall: 0.5891, relative_absolute_error: 0.9288, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.505, root_relative_squared_error: 1.01, scimark_benchmark: 1702.5447, usercpu_time_millis: 8.18, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 8.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6171, f_measure: 0.588, kappa: 0.1766, kb_relative_information_score: 117.0306, mean_absolute_error: 0.4578, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5885, predictive_accuracy: 0.5883, prior_entropy: 1, recall: 0.5883, relative_absolute_error: 0.9155, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5013, root_relative_squared_error: 1.0027, scimark_benchmark: 1753.1437, usercpu_time_millis: 386.201, usercpu_time_millis_testing: 1.497, usercpu_time_millis_training: 384.704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5902, f_measure: 0.5601, kappa: 0.1205, kb_relative_information_score: 57.9084, mean_absolute_error: 0.4806, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5603, predictive_accuracy: 0.5602, prior_entropy: 1, recall: 0.5602, relative_absolute_error: 0.9611, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4956, root_relative_squared_error: 0.9912, scimark_benchmark: 2146.3299, usercpu_time_millis: 178.759, usercpu_time_millis_testing: 0.539, usercpu_time_millis_training: 178.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6147, f_measure: 0.5823, kappa: 0.165, kb_relative_information_score: 94.7026, mean_absolute_error: 0.4671, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5826, predictive_accuracy: 0.5825, prior_entropy: 1, recall: 0.5825, relative_absolute_error: 0.9342, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.495, root_relative_squared_error: 0.99, scimark_benchmark: 1763.1992, usercpu_time_millis: 103.261, usercpu_time_millis_testing: 0.713, usercpu_time_millis_training: 102.548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5793, f_measure: 0.5551, kappa: 0.1106, kb_relative_information_score: 51.7126, mean_absolute_error: 0.4825, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5554, predictive_accuracy: 0.5553, prior_entropy: 1, recall: 0.5553, relative_absolute_error: 0.9651, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.498, root_relative_squared_error: 0.9961, scimark_benchmark: 1763.5516, usercpu_time_millis: 18.184, usercpu_time_millis_testing: 0.176, usercpu_time_millis_training: 18.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.55, f_measure: 0.5152, kappa: 0.033, kb_relative_information_score: 24.4389, mean_absolute_error: 0.492, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5167, predictive_accuracy: 0.5165, prior_entropy: 1, recall: 0.5165, relative_absolute_error: 0.984, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4988, root_relative_squared_error: 0.9975, scimark_benchmark: 1764.1309, usercpu_time_millis: 1.758, usercpu_time_millis_testing: 0.055, usercpu_time_millis_training: 1.703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5683, f_measure: 0.5428, kappa: 0.0875, kb_relative_information_score: 28.5395, mean_absolute_error: 0.4909, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5441, predictive_accuracy: 0.5437, prior_entropy: 1, recall: 0.5437, relative_absolute_error: 0.9819, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4964, root_relative_squared_error: 0.9929, scimark_benchmark: 1750.2645, usercpu_time_millis: 45.317, usercpu_time_millis_testing: 0.375, usercpu_time_millis_training: 44.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, f_measure: 0.4949, kb_relative_information_score: -0.0153, 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: 1766.8126, usercpu_time_millis: 0.54, usercpu_time_millis_testing: 0.072, usercpu_time_millis_training: 0.468,

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