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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: 0.5952, f_measure: 0.5676, kappa: 0.1353, kb_relative_information_score: 107.7476, mean_absolute_error: 0.4598, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5677, predictive_accuracy: 0.5677, prior_entropy: 1, recall: 0.5677, relative_absolute_error: 0.9196, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5183, root_relative_squared_error: 1.0367, scimark_benchmark: 1316.3358, usercpu_time_millis: 648.46, usercpu_time_millis_testing: 1.65, usercpu_time_millis_training: 646.81,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5525, f_measure: 0.5326, kappa: 0.0677, kb_relative_information_score: 19.1625, mean_absolute_error: 0.494, 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: 0.9881, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4982, root_relative_squared_error: 0.9964, scimark_benchmark: 1381.3346, usercpu_time_millis: 17.11, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 17.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6082, f_measure: 0.579, kappa: 0.1584, kb_relative_information_score: 111.2848, mean_absolute_error: 0.4595, 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: 0.9189, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5056, root_relative_squared_error: 1.0112, scimark_benchmark: 1371.3289, usercpu_time_millis: 209.83, usercpu_time_millis_testing: 0.84, usercpu_time_millis_training: 208.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, f_measure: 0.4915, kappa: -0.0066, kb_relative_information_score: -0.0166, 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: 1343.8537, usercpu_time_millis: 1.15, usercpu_time_millis_testing: 0.17, usercpu_time_millis_training: 0.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5832, f_measure: 0.5536, kappa: 0.1073, kb_relative_information_score: 52.9636, mean_absolute_error: 0.4823, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5536, predictive_accuracy: 0.5536, prior_entropy: 1, recall: 0.5536, relative_absolute_error: 0.9645, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4965, root_relative_squared_error: 0.993, scimark_benchmark: 1386.4962, usercpu_time_millis: 39.82, usercpu_time_millis_testing: 0.13, usercpu_time_millis_training: 39.69,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5515, f_measure: 0.5255, kappa: 0.0512, kb_relative_information_score: 32.8716, mean_absolute_error: 0.4888, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5256, predictive_accuracy: 0.5256, prior_entropy: 1, recall: 0.5256, relative_absolute_error: 0.9776, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4992, root_relative_squared_error: 0.9984, scimark_benchmark: 1371.9197, usercpu_time_millis: 64.58, usercpu_time_millis_testing: 0.75, usercpu_time_millis_training: 63.83,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6022, f_measure: 0.5701, kappa: 0.1403, kb_relative_information_score: 76.4007, mean_absolute_error: 0.4738, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5701, predictive_accuracy: 0.5701, prior_entropy: 1, recall: 0.5701, relative_absolute_error: 0.9477, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4963, root_relative_squared_error: 0.9926, scimark_benchmark: 1360.4776, usercpu_time_millis: 44.44, usercpu_time_millis_testing: 0.35, usercpu_time_millis_training: 44.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6071, f_measure: 0.5841, kappa: 0.1683, kb_relative_information_score: 100.7189, mean_absolute_error: 0.4641, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5842, predictive_accuracy: 0.5842, prior_entropy: 1, recall: 0.5842, relative_absolute_error: 0.9283, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5018, root_relative_squared_error: 1.0035, scimark_benchmark: 1368.7824, usercpu_time_millis: 234.26, usercpu_time_millis_testing: 1.97, usercpu_time_millis_training: 232.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5411, f_measure: 0.5213, kappa: 0.0479, kb_relative_information_score: 20.9705, mean_absolute_error: 0.4931, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5245, predictive_accuracy: 0.5239, prior_entropy: 1, recall: 0.5239, relative_absolute_error: 0.9862, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.499, root_relative_squared_error: 0.9979, scimark_benchmark: 1360.6717, usercpu_time_millis: 19.09, usercpu_time_millis_testing: 0.36, usercpu_time_millis_training: 18.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5942, f_measure: 0.5633, kappa: 0.1271, kb_relative_information_score: 64.1795, mean_absolute_error: 0.4782, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5636, predictive_accuracy: 0.5635, prior_entropy: 1, recall: 0.5635, relative_absolute_error: 0.9565, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4956, root_relative_squared_error: 0.9911, scimark_benchmark: 1381.8063, usercpu_time_millis: 342.67, usercpu_time_millis_testing: 1.03, usercpu_time_millis_training: 341.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6109, f_measure: 0.5754, kappa: 0.1518, kb_relative_information_score: 89.5835, mean_absolute_error: 0.469, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5762, predictive_accuracy: 0.5759, prior_entropy: 1, recall: 0.5759, relative_absolute_error: 0.9379, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4958, root_relative_squared_error: 0.9917, scimark_benchmark: 1387.7789, usercpu_time_millis: 238.93, usercpu_time_millis_testing: 0.93, usercpu_time_millis_training: 238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5976, f_measure: 0.5625, kappa: 0.1254, kb_relative_information_score: 68.2932, mean_absolute_error: 0.4768, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5628, predictive_accuracy: 0.5627, prior_entropy: 1, recall: 0.5627, relative_absolute_error: 0.9536, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4958, root_relative_squared_error: 0.9915, scimark_benchmark: 1356.8097, usercpu_time_millis: 61.08, usercpu_time_millis_testing: 0.58, usercpu_time_millis_training: 60.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5472, f_measure: 0.5223, kappa: 0.0495, kb_relative_information_score: 17.0677, mean_absolute_error: 0.4947, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5253, predictive_accuracy: 0.5248, prior_entropy: 1, recall: 0.5248, relative_absolute_error: 0.9893, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4982, root_relative_squared_error: 0.9964, scimark_benchmark: 1395.7186, usercpu_time_millis: 104.02, usercpu_time_millis_testing: 0.65, usercpu_time_millis_training: 103.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6227, f_measure: 0.589, kappa: 0.1782, kb_relative_information_score: 106.4384, mean_absolute_error: 0.4629, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5892, predictive_accuracy: 0.5891, prior_entropy: 1, recall: 0.5891, relative_absolute_error: 0.9258, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4949, root_relative_squared_error: 0.9898, scimark_benchmark: 1393.4852, usercpu_time_millis: 45.17, usercpu_time_millis_testing: 0.72, usercpu_time_millis_training: 44.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5921, f_measure: 0.5659, kappa: 0.132, kb_relative_information_score: 61.2226, mean_absolute_error: 0.4794, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.566, predictive_accuracy: 0.566, prior_entropy: 1, recall: 0.566, relative_absolute_error: 0.9587, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4961, root_relative_squared_error: 0.9922, scimark_benchmark: 1316.3063, usercpu_time_millis: 153.51, usercpu_time_millis_testing: 0.55, usercpu_time_millis_training: 152.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, f_measure: 0.4965, kappa: 0.0033, kb_relative_information_score: 0.0033, mean_absolute_error: 0.5, 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: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1368.8939, usercpu_time_millis: 1.5, usercpu_time_millis_testing: 0.2, usercpu_time_millis_training: 1.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6011, f_measure: 0.5725, kappa: 0.1452, kb_relative_information_score: 81.4928, mean_absolute_error: 0.4718, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5727, predictive_accuracy: 0.5726, prior_entropy: 1, recall: 0.5726, relative_absolute_error: 0.9435, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4984, root_relative_squared_error: 0.9967, scimark_benchmark: 1325.148, usercpu_time_millis: 118.19, usercpu_time_millis_testing: 0.47, usercpu_time_millis_training: 117.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5725, f_measure: 0.537, kappa: 0.0743, kb_relative_information_score: 46.4538, mean_absolute_error: 0.4843, 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: 0.9685, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4982, root_relative_squared_error: 0.9963, scimark_benchmark: 1316.6732, usercpu_time_millis: 104.02, usercpu_time_millis_testing: 0.68, usercpu_time_millis_training: 103.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4972, f_measure: 0.4925, kappa: -0.005, kb_relative_information_score: -0.0337, 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: 1367.4348, usercpu_time_millis: 0.5, usercpu_time_millis_testing: 0.12, usercpu_time_millis_training: 0.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5638, f_measure: 0.5412, kappa: 0.0842, kb_relative_information_score: 34.5437, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5424, predictive_accuracy: 0.5421, prior_entropy: 1, recall: 0.5421, relative_absolute_error: 0.9771, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4978, root_relative_squared_error: 0.9955, scimark_benchmark: 1328.8799, usercpu_time_millis: 69.18, usercpu_time_millis_testing: 0.55, usercpu_time_millis_training: 68.63,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5279, f_measure: 0.5203, kappa: 0.0446, kb_relative_information_score: 11.3659, mean_absolute_error: 0.4965, 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: 0.993, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4991, root_relative_squared_error: 0.9982, scimark_benchmark: 1314.0291, usercpu_time_millis: 43.41, usercpu_time_millis_testing: 0.36, usercpu_time_millis_training: 43.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5963, f_measure: 0.5734, kappa: 0.1469, kb_relative_information_score: 78.8238, mean_absolute_error: 0.473, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5734, predictive_accuracy: 0.5734, prior_entropy: 1, recall: 0.5734, relative_absolute_error: 0.946, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4998, root_relative_squared_error: 0.9997, scimark_benchmark: 1378.2182, usercpu_time_millis: 207.5, usercpu_time_millis_testing: 0.9, usercpu_time_millis_training: 206.6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6065, f_measure: 0.5725, kappa: 0.1452, kb_relative_information_score: 123.8057, mean_absolute_error: 0.4534, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5727, predictive_accuracy: 0.5726, prior_entropy: 1, recall: 0.5726, relative_absolute_error: 0.9068, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.516, root_relative_squared_error: 1.032, scimark_benchmark: 1361.9572, usercpu_time_millis: 651.81, usercpu_time_millis_testing: 1.5, usercpu_time_millis_training: 650.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6167, f_measure: 0.5887, kappa: 0.1782, kb_relative_information_score: 94.8735, mean_absolute_error: 0.4671, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5895, predictive_accuracy: 0.5891, prior_entropy: 1, recall: 0.5891, relative_absolute_error: 0.9343, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4944, root_relative_squared_error: 0.9887, scimark_benchmark: 1372.4052, usercpu_time_millis: 325.24, usercpu_time_millis_testing: 0.87, usercpu_time_millis_training: 324.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5679, f_measure: 0.5411, kappa: 0.0825, kb_relative_information_score: 40.7095, mean_absolute_error: 0.4864, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5413, predictive_accuracy: 0.5413, prior_entropy: 1, recall: 0.5413, relative_absolute_error: 0.9727, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4978, root_relative_squared_error: 0.9957, scimark_benchmark: 1365.8463, usercpu_time_millis: 117.49, usercpu_time_millis_testing: 0.68, usercpu_time_millis_training: 116.81,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5835, f_measure: 0.5577, kappa: 0.1155, kb_relative_information_score: 56.5107, mean_absolute_error: 0.4808, 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: 0.9616, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4976, root_relative_squared_error: 0.9952, scimark_benchmark: 1380.7824, usercpu_time_millis: 103.39, usercpu_time_millis_testing: 0.38, usercpu_time_millis_training: 103.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5708, f_measure: 0.5392, kappa: 0.0792, kb_relative_information_score: 45.0246, mean_absolute_error: 0.4848, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5397, predictive_accuracy: 0.5396, prior_entropy: 1, recall: 0.5396, relative_absolute_error: 0.9696, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4987, root_relative_squared_error: 0.9974, scimark_benchmark: 1350.579, usercpu_time_millis: 60.28, usercpu_time_millis_testing: 1, usercpu_time_millis_training: 59.28,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5534, f_measure: 0.5296, kappa: 0.0594, kb_relative_information_score: 35.1354, mean_absolute_error: 0.488, 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: 0.976, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4989, root_relative_squared_error: 0.9979, scimark_benchmark: 1348.8411, usercpu_time_millis: 42.13, usercpu_time_millis_testing: 0.21, usercpu_time_millis_training: 41.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5227, f_measure: 0.5282, kappa: 0.0578, kb_relative_information_score: 8.4804, mean_absolute_error: 0.4974, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5291, predictive_accuracy: 0.5289, prior_entropy: 1, recall: 0.5289, relative_absolute_error: 0.9948, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0001, scimark_benchmark: 1399.9409, usercpu_time_millis: 12.77, usercpu_time_millis_testing: 0.29, usercpu_time_millis_training: 12.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6058, f_measure: 0.5848, kappa: 0.17, kb_relative_information_score: 96.9491, mean_absolute_error: 0.4656, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5851, predictive_accuracy: 0.585, prior_entropy: 1, recall: 0.585, relative_absolute_error: 0.9313, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5014, root_relative_squared_error: 1.0029, scimark_benchmark: 1386.6274, usercpu_time_millis: 558.91, usercpu_time_millis_testing: 1.19, usercpu_time_millis_training: 557.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6148, f_measure: 0.5857, kappa: 0.1716, kb_relative_information_score: 110.1998, mean_absolute_error: 0.4605, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5859, predictive_accuracy: 0.5858, prior_entropy: 1, recall: 0.5858, relative_absolute_error: 0.921, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4999, root_relative_squared_error: 0.9997, scimark_benchmark: 1364.7793, usercpu_time_millis: 207.77, usercpu_time_millis_testing: 2.11, usercpu_time_millis_training: 205.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5544, f_measure: 0.5354, kappa: 0.0726, kb_relative_information_score: 31.423, mean_absolute_error: 0.4895, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5366, predictive_accuracy: 0.5363, prior_entropy: 1, recall: 0.5363, relative_absolute_error: 0.979, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4983, root_relative_squared_error: 0.9966, scimark_benchmark: 1383.3058, usercpu_time_millis: 142.81, usercpu_time_millis_testing: 0.57, usercpu_time_millis_training: 142.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5824, f_measure: 0.552, kappa: 0.104, kb_relative_information_score: 52.6508, mean_absolute_error: 0.4823, 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: 0.9645, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4963, root_relative_squared_error: 0.9927, scimark_benchmark: 1374.7654, usercpu_time_millis: 123.58, usercpu_time_millis_testing: 0.32, usercpu_time_millis_training: 123.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.556, f_measure: 0.5339, kappa: 0.071, kb_relative_information_score: 26.6535, mean_absolute_error: 0.4914, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.536, predictive_accuracy: 0.5355, prior_entropy: 1, recall: 0.5355, relative_absolute_error: 0.9827, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4971, root_relative_squared_error: 0.9942, scimark_benchmark: 1378.9863, usercpu_time_millis: 221.43, usercpu_time_millis_testing: 0.69, usercpu_time_millis_training: 220.74,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5622, f_measure: 0.537, kappa: 0.0759, kb_relative_information_score: 31.6512, mean_absolute_error: 0.4896, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5383, predictive_accuracy: 0.538, prior_entropy: 1, recall: 0.538, relative_absolute_error: 0.9793, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4976, root_relative_squared_error: 0.9951, scimark_benchmark: 1364.7925, usercpu_time_millis: 34.16, usercpu_time_millis_testing: 0.46, usercpu_time_millis_training: 33.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.517, f_measure: 0.5034, kappa: 0.0116, kb_relative_information_score: 9.869, mean_absolute_error: 0.4968, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5059, predictive_accuracy: 0.5058, prior_entropy: 1, recall: 0.5058, relative_absolute_error: 0.9936, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4999, root_relative_squared_error: 0.9999, scimark_benchmark: 1375.6843, usercpu_time_millis: 15.7, usercpu_time_millis_testing: 0.32, usercpu_time_millis_training: 15.38,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6047, f_measure: 0.5774, kappa: 0.1551, kb_relative_information_score: 81.4093, mean_absolute_error: 0.472, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5777, predictive_accuracy: 0.5776, prior_entropy: 1, recall: 0.5776, relative_absolute_error: 0.9441, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4966, root_relative_squared_error: 0.9932, scimark_benchmark: 1358.9302, usercpu_time_millis: 158.21, usercpu_time_millis_testing: 1.09, usercpu_time_millis_training: 157.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.614, f_measure: 0.5842, kappa: 0.17, kb_relative_information_score: 89.2196, mean_absolute_error: 0.4694, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5856, predictive_accuracy: 0.585, prior_entropy: 1, recall: 0.585, relative_absolute_error: 0.9387, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.494, root_relative_squared_error: 0.988, scimark_benchmark: 1429.202, usercpu_time_millis: 137.36, usercpu_time_millis_testing: 0.35, usercpu_time_millis_training: 137.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5296, f_measure: 0.5052, kappa: 0.0149, kb_relative_information_score: 19.3328, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5076, predictive_accuracy: 0.5074, prior_entropy: 1, recall: 0.5074, relative_absolute_error: 0.987, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4998, root_relative_squared_error: 0.9996, scimark_benchmark: 1374.2722, usercpu_time_millis: 40.84, usercpu_time_millis_testing: 0.49, usercpu_time_millis_training: 40.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.521, f_measure: 0.5329, kappa: 0.066, kb_relative_information_score: 6.6336, mean_absolute_error: 0.4981, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.533, predictive_accuracy: 0.533, prior_entropy: 1, recall: 0.533, relative_absolute_error: 0.9962, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.501, root_relative_squared_error: 1.0021, scimark_benchmark: 1367.1539, usercpu_time_millis: 2.89, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 2.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6236, f_measure: 0.5856, kappa: 0.1716, kb_relative_information_score: 129.4504, mean_absolute_error: 0.4528, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.586, predictive_accuracy: 0.5858, prior_entropy: 1, recall: 0.5858, relative_absolute_error: 0.9056, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5018, root_relative_squared_error: 1.0036, scimark_benchmark: 1384.526, usercpu_time_millis: 348.62, usercpu_time_millis_testing: 1.21, usercpu_time_millis_training: 347.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6028, f_measure: 0.5774, kappa: 0.1551, kb_relative_information_score: 119.7328, mean_absolute_error: 0.4549, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5777, predictive_accuracy: 0.5776, prior_entropy: 1, recall: 0.5776, relative_absolute_error: 0.9098, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5179, root_relative_squared_error: 1.0358, scimark_benchmark: 1378.0515, usercpu_time_millis: 670.5, usercpu_time_millis_testing: 1.16, usercpu_time_millis_training: 669.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5788, f_measure: 0.5511, kappa: 0.1023, kb_relative_information_score: 97.7197, mean_absolute_error: 0.4634, 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: 0.9267, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5345, root_relative_squared_error: 1.069, scimark_benchmark: 1402.5725, usercpu_time_millis: 579.31, usercpu_time_millis_testing: 0.91, usercpu_time_millis_training: 578.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.52, f_measure: 0.5224, kappa: 0.0462, kb_relative_information_score: 5.5902, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5232, predictive_accuracy: 0.5231, prior_entropy: 1, recall: 0.5231, relative_absolute_error: 0.9966, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0004, scimark_benchmark: 1367.7031, usercpu_time_millis: 2.26, usercpu_time_millis_testing: 0.11, usercpu_time_millis_training: 2.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5467, f_measure: 0.5322, kappa: 0.0677, kb_relative_information_score: 26.4803, mean_absolute_error: 0.4912, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5343, predictive_accuracy: 0.5338, prior_entropy: 1, recall: 0.5338, relative_absolute_error: 0.9823, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.499, root_relative_squared_error: 0.9979, scimark_benchmark: 1210.0005, usercpu_time_millis: 130.62, usercpu_time_millis_testing: 0.82, usercpu_time_millis_training: 129.8,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5645, f_measure: 0.5395, kappa: 0.0809, kb_relative_information_score: 33.5029, 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: 0.978, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4972, root_relative_squared_error: 0.9944, scimark_benchmark: 1383.8344, usercpu_time_millis: 16.72, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 16.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6186, f_measure: 0.5881, kappa: 0.1766, kb_relative_information_score: 99.0837, mean_absolute_error: 0.4656, 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: 0.9312, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4947, root_relative_squared_error: 0.9893, scimark_benchmark: 1357.0858, usercpu_time_millis: 123.97, usercpu_time_millis_testing: 0.64, usercpu_time_millis_training: 123.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.4775, kappa: -0.0033, kb_relative_information_score: -0.0152, 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: 1401.7594, usercpu_time_millis: 0.44, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 0.36,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5235, f_measure: 0.519, kappa: 0.0429, kb_relative_information_score: 9.9321, mean_absolute_error: 0.4969, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5219, predictive_accuracy: 0.5215, prior_entropy: 1, recall: 0.5215, relative_absolute_error: 0.9938, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4994, root_relative_squared_error: 0.9988, scimark_benchmark: 1373.0461, usercpu_time_millis: 14.42, usercpu_time_millis_testing: 0.44, usercpu_time_millis_training: 13.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5857, f_measure: 0.551, kappa: 0.1023, kb_relative_information_score: 55.9723, mean_absolute_error: 0.481, 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: 0.9621, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4964, root_relative_squared_error: 0.9929, scimark_benchmark: 1392.2039, usercpu_time_millis: 101.07, usercpu_time_millis_testing: 0.58, usercpu_time_millis_training: 100.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6133, f_measure: 0.5855, kappa: 0.1716, kb_relative_information_score: 98.1458, mean_absolute_error: 0.4656, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.586, predictive_accuracy: 0.5858, prior_entropy: 1, recall: 0.5858, relative_absolute_error: 0.9312, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4969, root_relative_squared_error: 0.9937, scimark_benchmark: 1372.4168, usercpu_time_millis: 533.58, usercpu_time_millis_testing: 1.5, usercpu_time_millis_training: 532.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.516, f_measure: 0.5004, kappa: 0.0083, kb_relative_information_score: 14.1882, mean_absolute_error: 0.4951, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5043, predictive_accuracy: 0.5041, prior_entropy: 1, recall: 0.5041, relative_absolute_error: 0.9902, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.502, root_relative_squared_error: 1.004, scimark_benchmark: 1395.0437, usercpu_time_millis: 1.64, usercpu_time_millis_testing: 0.11, usercpu_time_millis_training: 1.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5867, f_measure: 0.552, kappa: 0.104, kb_relative_information_score: 66.0508, mean_absolute_error: 0.477, 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: 0.9541, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4988, root_relative_squared_error: 0.9977, scimark_benchmark: 1357.3478, usercpu_time_millis: 9, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 8.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5957, f_measure: 0.5734, kappa: 0.1469, kb_relative_information_score: 90.0648, mean_absolute_error: 0.4682, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5734, predictive_accuracy: 0.5734, prior_entropy: 1, recall: 0.5734, relative_absolute_error: 0.9365, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5055, root_relative_squared_error: 1.0111, scimark_benchmark: 1383.402, usercpu_time_millis: 376.95, usercpu_time_millis_testing: 0.89, usercpu_time_millis_training: 376.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5643, f_measure: 0.5255, kappa: 0.0528, kb_relative_information_score: 35.688, mean_absolute_error: 0.4881, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5266, predictive_accuracy: 0.5264, prior_entropy: 1, recall: 0.5264, relative_absolute_error: 0.9762, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4977, root_relative_squared_error: 0.9955, scimark_benchmark: 1368.7485, usercpu_time_millis: 60.45, usercpu_time_millis_testing: 0.3, usercpu_time_millis_training: 60.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5969, f_measure: 0.5734, kappa: 0.1469, kb_relative_information_score: 73.3244, mean_absolute_error: 0.475, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5734, predictive_accuracy: 0.5734, prior_entropy: 1, recall: 0.5734, relative_absolute_error: 0.95, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4976, root_relative_squared_error: 0.9951, scimark_benchmark: 1359.0123, usercpu_time_millis: 340.35, usercpu_time_millis_testing: 0.94, usercpu_time_millis_training: 339.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5701, f_measure: 0.5383, kappa: 0.0776, kb_relative_information_score: 42.9693, mean_absolute_error: 0.4856, 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: 0.9711, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4983, root_relative_squared_error: 0.9967, scimark_benchmark: 1388.096, usercpu_time_millis: 53.65, usercpu_time_millis_testing: 0.64, usercpu_time_millis_training: 53.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5959, f_measure: 0.5667, kappa: 0.1337, kb_relative_information_score: 67.1959, mean_absolute_error: 0.4771, 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: 0.9542, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4959, root_relative_squared_error: 0.9919, scimark_benchmark: 1364.7094, usercpu_time_millis: 40.17, usercpu_time_millis_testing: 0.24, usercpu_time_millis_training: 39.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5737, f_measure: 0.5486, kappa: 0.0974, kb_relative_information_score: 46.2542, mean_absolute_error: 0.4844, 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: 0.9688, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4973, root_relative_squared_error: 0.9945, scimark_benchmark: 1370.3908, usercpu_time_millis: 146.81, usercpu_time_millis_testing: 0.37, usercpu_time_millis_training: 146.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5096, f_measure: 0.5122, kappa: 0.0264, kb_relative_information_score: 4.2471, mean_absolute_error: 0.4987, 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: 0.9974, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.001, scimark_benchmark: 1363.8016, usercpu_time_millis: 5.24, usercpu_time_millis_testing: 0.14, usercpu_time_millis_training: 5.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5902, f_measure: 0.5701, kappa: 0.1403, kb_relative_information_score: 61.5665, mean_absolute_error: 0.4792, 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: 0.9584, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4971, root_relative_squared_error: 0.9942, scimark_benchmark: 1359.7766, usercpu_time_millis: 394.45, usercpu_time_millis_testing: 0.75, usercpu_time_millis_training: 393.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6109, f_measure: 0.579, kappa: 0.1584, kb_relative_information_score: 86.1632, mean_absolute_error: 0.4704, 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: 0.9408, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4951, root_relative_squared_error: 0.9902, scimark_benchmark: 1357.6953, usercpu_time_millis: 395.14, usercpu_time_millis_testing: 1.48, usercpu_time_millis_training: 393.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.496, f_measure: 0.4915, kappa: -0.0066, kb_relative_information_score: -0.0238, 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: 1378.3384, usercpu_time_millis: 1.51, usercpu_time_millis_testing: 0.24, usercpu_time_millis_training: 1.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6171, f_measure: 0.5865, kappa: 0.1733, kb_relative_information_score: 131.5075, mean_absolute_error: 0.4513, 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: 0.9025, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5089, root_relative_squared_error: 1.0179, scimark_benchmark: 1369.1417, usercpu_time_millis: 318.7, usercpu_time_millis_testing: 0.61, usercpu_time_millis_training: 318.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5837, f_measure: 0.5619, kappa: 0.1238, kb_relative_information_score: 59.1104, mean_absolute_error: 0.4801, 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: 0.9601, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4999, root_relative_squared_error: 0.9998, scimark_benchmark: 1363.479, usercpu_time_millis: 8.56, usercpu_time_millis_testing: 0.37, usercpu_time_millis_training: 8.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6095, f_measure: 0.575, kappa: 0.1502, kb_relative_information_score: 90.1701, mean_absolute_error: 0.4687, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5752, predictive_accuracy: 0.5751, prior_entropy: 1, recall: 0.5751, relative_absolute_error: 0.9375, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.497, root_relative_squared_error: 0.994, scimark_benchmark: 1377.4744, usercpu_time_millis: 43.29, usercpu_time_millis_testing: 0.3, usercpu_time_millis_training: 42.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6096, f_measure: 0.5821, kappa: 0.165, kb_relative_information_score: 98.2872, mean_absolute_error: 0.4652, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5828, predictive_accuracy: 0.5825, prior_entropy: 1, recall: 0.5825, relative_absolute_error: 0.9304, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4988, root_relative_squared_error: 0.9976, scimark_benchmark: 1347.2184, usercpu_time_millis: 598.39, usercpu_time_millis_testing: 1.45, usercpu_time_millis_training: 596.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5566, f_measure: 0.5286, kappa: 0.0578, kb_relative_information_score: 31.9421, mean_absolute_error: 0.4893, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.529, predictive_accuracy: 0.5289, prior_entropy: 1, recall: 0.5289, relative_absolute_error: 0.9787, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4989, root_relative_squared_error: 0.9977, scimark_benchmark: 1394.0025, usercpu_time_millis: 16.46, usercpu_time_millis_testing: 0.15, usercpu_time_millis_training: 16.31,

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