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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 - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6163, f_measure: 0.5847, kappa: 0.17, kb_relative_information_score: 123.7722, mean_absolute_error: 0.4546, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5852, predictive_accuracy: 0.585, prior_entropy: 1, recall: 0.585, relative_absolute_error: 0.9093, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.505, root_relative_squared_error: 1.0099, scimark_benchmark: 1301.2238, usercpu_time_millis: 979.29, usercpu_time_millis_testing: 1.8, usercpu_time_millis_training: 977.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5419, f_measure: 0.5335, kappa: 0.0693, kb_relative_information_score: 13.212, mean_absolute_error: 0.496, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.535, predictive_accuracy: 0.5347, prior_entropy: 1, recall: 0.5347, relative_absolute_error: 0.9919, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4993, root_relative_squared_error: 0.9986, scimark_benchmark: 1331.2449, usercpu_time_millis: 5.93, usercpu_time_millis_testing: 0.12, usercpu_time_millis_training: 5.81,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5276, f_measure: 0.5187, kappa: 0.0446, kb_relative_information_score: 15.9938, mean_absolute_error: 0.4947, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.523, predictive_accuracy: 0.5223, prior_entropy: 1, recall: 0.5223, relative_absolute_error: 0.9895, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4995, root_relative_squared_error: 0.999, scimark_benchmark: 1351.5108, usercpu_time_millis: 16.19, usercpu_time_millis_testing: 0.59, usercpu_time_millis_training: 15.6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5754, f_measure: 0.5385, kappa: 0.0776, kb_relative_information_score: 47.3612, mean_absolute_error: 0.4839, 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: 0.9678, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4971, root_relative_squared_error: 0.9942, scimark_benchmark: 1321.0129, usercpu_time_millis: 65.39, usercpu_time_millis_testing: 0.27, usercpu_time_millis_training: 65.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6046, f_measure: 0.5741, kappa: 0.1485, kb_relative_information_score: 77.2569, mean_absolute_error: 0.4736, 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: 0.9472, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4952, root_relative_squared_error: 0.9904, scimark_benchmark: 1341.2406, usercpu_time_millis: 62.11, usercpu_time_millis_testing: 0.37, usercpu_time_millis_training: 61.74,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.597, f_measure: 0.5743, kappa: 0.1485, kb_relative_information_score: 69.3596, mean_absolute_error: 0.4765, 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: 0.953, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4966, root_relative_squared_error: 0.9932, scimark_benchmark: 1340.6714, usercpu_time_millis: 74, usercpu_time_millis_testing: 0.73, usercpu_time_millis_training: 73.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5683, f_measure: 0.5468, kappa: 0.0957, kb_relative_information_score: 31.6765, mean_absolute_error: 0.4898, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5483, predictive_accuracy: 0.5479, prior_entropy: 1, recall: 0.5479, relative_absolute_error: 0.9796, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4963, root_relative_squared_error: 0.9926, scimark_benchmark: 1264.9132, usercpu_time_millis: 216.73, usercpu_time_millis_testing: 0.62, usercpu_time_millis_training: 216.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4967, f_measure: 0.4915, kappa: -0.0066, kb_relative_information_score: -0.0169, 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: 1275.4653, usercpu_time_millis: 0.92, usercpu_time_millis_testing: 0.17, usercpu_time_millis_training: 0.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5716, f_measure: 0.5412, kappa: 0.0825, kb_relative_information_score: 45.0286, mean_absolute_error: 0.4847, 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: 0.9694, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4979, root_relative_squared_error: 0.9957, scimark_benchmark: 1338.4269, usercpu_time_millis: 47.98, usercpu_time_millis_testing: 0.23, usercpu_time_millis_training: 47.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.4941, kappa: -0.0017, kb_relative_information_score: -0.0026, 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: 1306.8263, usercpu_time_millis: 2.52, usercpu_time_millis_testing: 0.38, usercpu_time_millis_training: 2.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5175, f_measure: 0.5141, kappa: 0.033, kb_relative_information_score: 9.1159, mean_absolute_error: 0.4971, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5168, predictive_accuracy: 0.5165, prior_entropy: 1, recall: 0.5165, relative_absolute_error: 0.9942, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1311.6893, usercpu_time_millis: 75.58, usercpu_time_millis_testing: 0.69, usercpu_time_millis_training: 74.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5458, f_measure: 0.5362, kappa: 0.0726, kb_relative_information_score: 15.7578, mean_absolute_error: 0.4952, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5363, predictive_accuracy: 0.5363, prior_entropy: 1, recall: 0.5363, relative_absolute_error: 0.9903, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4996, root_relative_squared_error: 0.9991, scimark_benchmark: 1319.2287, usercpu_time_millis: 19.86, usercpu_time_millis_testing: 0.23, usercpu_time_millis_training: 19.63,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5475, f_measure: 0.5099, kappa: 0.0198, kb_relative_information_score: 29.6678, mean_absolute_error: 0.4899, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5099, predictive_accuracy: 0.5099, prior_entropy: 1, recall: 0.5099, relative_absolute_error: 0.9797, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4995, root_relative_squared_error: 0.9991, scimark_benchmark: 1287.3875, usercpu_time_millis: 31.4, usercpu_time_millis_testing: 0.45, usercpu_time_millis_training: 30.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4975, f_measure: 0.4932, kappa: -0.0033, kb_relative_information_score: -0.0288, 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: 1290.034, usercpu_time_millis: 0.76, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 0.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5614, f_measure: 0.532, kappa: 0.0644, kb_relative_information_score: 38.6118, mean_absolute_error: 0.4869, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5322, predictive_accuracy: 0.5322, prior_entropy: 1, recall: 0.5322, relative_absolute_error: 0.9738, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4981, root_relative_squared_error: 0.9962, scimark_benchmark: 1290.4501, usercpu_time_millis: 24.61, usercpu_time_millis_testing: 0.19, usercpu_time_millis_training: 24.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5562, f_measure: 0.5268, kappa: 0.0545, kb_relative_information_score: 33.1059, mean_absolute_error: 0.4888, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5273, predictive_accuracy: 0.5272, prior_entropy: 1, recall: 0.5272, relative_absolute_error: 0.9776, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4987, root_relative_squared_error: 0.9974, scimark_benchmark: 1295.181, usercpu_time_millis: 70.2, usercpu_time_millis_testing: 0.63, usercpu_time_millis_training: 69.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.581, f_measure: 0.5584, kappa: 0.1172, kb_relative_information_score: 40.1968, mean_absolute_error: 0.4869, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5587, predictive_accuracy: 0.5586, prior_entropy: 1, recall: 0.5586, relative_absolute_error: 0.9739, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4965, root_relative_squared_error: 0.9929, scimark_benchmark: 1303.2578, usercpu_time_millis: 216.64, usercpu_time_millis_testing: 0.98, usercpu_time_millis_training: 215.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5142, f_measure: 0.5, kappa: 0.005, kb_relative_information_score: 12.21, mean_absolute_error: 0.4959, 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: 0.9918, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0002, scimark_benchmark: 1271.4315, usercpu_time_millis: 42.22, usercpu_time_millis_testing: 0.55, usercpu_time_millis_training: 41.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5248, f_measure: 0.5174, kappa: 0.0396, kb_relative_information_score: 9.7399, mean_absolute_error: 0.497, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5202, predictive_accuracy: 0.5198, prior_entropy: 1, recall: 0.5198, relative_absolute_error: 0.994, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4995, root_relative_squared_error: 0.9989, scimark_benchmark: 1284.6223, usercpu_time_millis: 21.7, usercpu_time_millis_testing: 0.16, usercpu_time_millis_training: 21.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5585, f_measure: 0.5312, kappa: 0.0627, kb_relative_information_score: 36.6047, mean_absolute_error: 0.4876, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5314, predictive_accuracy: 0.5314, prior_entropy: 1, recall: 0.5314, relative_absolute_error: 0.9751, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.499, root_relative_squared_error: 0.9979, scimark_benchmark: 1300.5967, usercpu_time_millis: 50.44, usercpu_time_millis_testing: 0.56, usercpu_time_millis_training: 49.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5461, f_measure: 0.5252, kappa: 0.0545, kb_relative_information_score: 18.5597, mean_absolute_error: 0.4941, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5277, predictive_accuracy: 0.5272, prior_entropy: 1, recall: 0.5272, relative_absolute_error: 0.9883, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4982, root_relative_squared_error: 0.9965, scimark_benchmark: 1277.1525, usercpu_time_millis: 30.47, usercpu_time_millis_testing: 0.21, usercpu_time_millis_training: 30.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6061, f_measure: 0.5733, kappa: 0.1469, kb_relative_information_score: 89.8652, mean_absolute_error: 0.4687, 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: 0.9373, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4987, root_relative_squared_error: 0.9975, scimark_benchmark: 1290.1246, usercpu_time_millis: 278.62, usercpu_time_millis_testing: 0.5, usercpu_time_millis_training: 278.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5635, f_measure: 0.5354, kappa: 0.071, kb_relative_information_score: 42.658, mean_absolute_error: 0.4854, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5355, predictive_accuracy: 0.5355, prior_entropy: 1, recall: 0.5355, relative_absolute_error: 0.9708, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5006, root_relative_squared_error: 1.0012, scimark_benchmark: 1300.8808, usercpu_time_millis: 5.28, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 5.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5936, f_measure: 0.5611, kappa: 0.1221, kb_relative_information_score: 69.1871, mean_absolute_error: 0.4763, 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: 0.9527, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4982, root_relative_squared_error: 0.9963, scimark_benchmark: 1314.4158, usercpu_time_millis: 23.97, usercpu_time_millis_testing: 0.21, usercpu_time_millis_training: 23.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5268, f_measure: 0.5211, kappa: 0.0446, kb_relative_information_score: 7.7578, mean_absolute_error: 0.4976, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5225, predictive_accuracy: 0.5223, prior_entropy: 1, recall: 0.5223, relative_absolute_error: 0.9953, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4996, root_relative_squared_error: 0.9992, scimark_benchmark: 1301.7847, usercpu_time_millis: 54.8, usercpu_time_millis_testing: 0.38, usercpu_time_millis_training: 54.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5978, f_measure: 0.57, kappa: 0.1403, kb_relative_information_score: 68.9794, mean_absolute_error: 0.4766, 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: 0.9533, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4962, root_relative_squared_error: 0.9924, scimark_benchmark: 1297.2149, usercpu_time_millis: 64.73, usercpu_time_millis_testing: 0.52, usercpu_time_millis_training: 64.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.4792, kb_relative_information_score: -0.003, 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: 1285.4235, usercpu_time_millis: 2.26, usercpu_time_millis_testing: 0.33, usercpu_time_millis_training: 1.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5141, f_measure: 0.5196, kappa: 0.0396, kb_relative_information_score: 3.7162, mean_absolute_error: 0.4989, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5198, predictive_accuracy: 0.5198, prior_entropy: 1, recall: 0.5198, relative_absolute_error: 0.9978, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0008, scimark_benchmark: 1310.3472, usercpu_time_millis: 10.04, usercpu_time_millis_testing: 0.28, usercpu_time_millis_training: 9.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5929, f_measure: 0.5643, kappa: 0.1287, kb_relative_information_score: 63.3719, mean_absolute_error: 0.4786, 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: 0.9571, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4968, root_relative_squared_error: 0.9936, scimark_benchmark: 1316.288, usercpu_time_millis: 13.6, usercpu_time_millis_testing: 0.21, usercpu_time_millis_training: 13.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.597, f_measure: 0.5651, kappa: 0.1304, kb_relative_information_score: 67.8912, mean_absolute_error: 0.477, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5652, predictive_accuracy: 0.5652, prior_entropy: 1, recall: 0.5652, relative_absolute_error: 0.9539, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.496, root_relative_squared_error: 0.9919, scimark_benchmark: 1296.156, usercpu_time_millis: 163.97, usercpu_time_millis_testing: 1.26, usercpu_time_millis_training: 162.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4975, f_measure: 0.4775, kappa: -0.0033, kb_relative_information_score: -0.0107, 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: 1290.0097, usercpu_time_millis: 1.5, usercpu_time_millis_testing: 0.27, usercpu_time_millis_training: 1.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5332, f_measure: 0.5169, kappa: 0.038, kb_relative_information_score: 12.6166, mean_absolute_error: 0.4961, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5193, predictive_accuracy: 0.519, prior_entropy: 1, recall: 0.519, relative_absolute_error: 0.9921, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4992, root_relative_squared_error: 0.9984, scimark_benchmark: 1269.014, usercpu_time_millis: 17.32, usercpu_time_millis_testing: 0.32, usercpu_time_millis_training: 17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5505, f_measure: 0.5236, kappa: 0.0479, kb_relative_information_score: 31.3336, mean_absolute_error: 0.4894, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.524, predictive_accuracy: 0.5239, prior_entropy: 1, recall: 0.5239, relative_absolute_error: 0.9789, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5019, root_relative_squared_error: 1.0039, scimark_benchmark: 1281.3857, usercpu_time_millis: 12.53, usercpu_time_millis_testing: 0.68, usercpu_time_millis_training: 11.85,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5833, f_measure: 0.5576, kappa: 0.1155, kb_relative_information_score: 54.2485, mean_absolute_error: 0.4817, 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: 0.9635, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4975, root_relative_squared_error: 0.9949, scimark_benchmark: 1270.7942, usercpu_time_millis: 100.82, usercpu_time_millis_testing: 0.42, usercpu_time_millis_training: 100.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5213, f_measure: 0.5164, kappa: 0.033, kb_relative_information_score: 5.3635, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5165, predictive_accuracy: 0.5165, prior_entropy: 1, recall: 0.5165, relative_absolute_error: 0.9968, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0002, scimark_benchmark: 1301.3168, usercpu_time_millis: 4.35, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 4.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6107, f_measure: 0.5781, kappa: 0.1568, kb_relative_information_score: 86.0029, mean_absolute_error: 0.4705, 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: 0.941, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4952, root_relative_squared_error: 0.9904, scimark_benchmark: 1281.2488, usercpu_time_millis: 404.03, usercpu_time_millis_testing: 1.3, usercpu_time_millis_training: 402.73,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6186, f_measure: 0.593, kappa: 0.1865, kb_relative_information_score: 96.5247, mean_absolute_error: 0.4667, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5935, predictive_accuracy: 0.5932, prior_entropy: 1, recall: 0.5932, relative_absolute_error: 0.9333, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4941, root_relative_squared_error: 0.9882, scimark_benchmark: 1290.246, usercpu_time_millis: 122.31, usercpu_time_millis_testing: 0.83, usercpu_time_millis_training: 121.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5863, f_measure: 0.56, kappa: 0.1205, kb_relative_information_score: 50.6625, mean_absolute_error: 0.4832, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5604, predictive_accuracy: 0.5602, prior_entropy: 1, recall: 0.5602, relative_absolute_error: 0.9665, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4955, root_relative_squared_error: 0.991, scimark_benchmark: 1305.3479, usercpu_time_millis: 110.29, usercpu_time_millis_testing: 0.78, usercpu_time_millis_training: 109.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5807, f_measure: 0.5485, kappa: 0.0974, kb_relative_information_score: 50.8686, mean_absolute_error: 0.483, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5488, predictive_accuracy: 0.5487, prior_entropy: 1, recall: 0.5487, relative_absolute_error: 0.9659, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4969, root_relative_squared_error: 0.9938, scimark_benchmark: 1297.8306, usercpu_time_millis: 99.32, usercpu_time_millis_testing: 0.26, usercpu_time_millis_training: 99.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6147, f_measure: 0.5881, kappa: 0.1766, kb_relative_information_score: 93.7847, mean_absolute_error: 0.4674, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5884, predictive_accuracy: 0.5883, prior_entropy: 1, recall: 0.5883, relative_absolute_error: 0.9348, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4946, root_relative_squared_error: 0.9892, scimark_benchmark: 1285.425, usercpu_time_millis: 76.73, usercpu_time_millis_testing: 0.22, usercpu_time_millis_training: 76.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6143, f_measure: 0.5806, kappa: 0.1617, kb_relative_information_score: 94.5334, mean_absolute_error: 0.4672, 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: 0.9344, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4955, root_relative_squared_error: 0.991, scimark_benchmark: 1293.1694, usercpu_time_millis: 45.92, usercpu_time_millis_testing: 0.38, usercpu_time_millis_training: 45.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6046, f_measure: 0.5783, kappa: 0.1568, kb_relative_information_score: 95.7264, mean_absolute_error: 0.4661, 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: 0.9322, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5016, root_relative_squared_error: 1.0032, scimark_benchmark: 1852.2906, usercpu_time_millis: 365.375, usercpu_time_millis_testing: 1.227, usercpu_time_millis_training: 364.148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6136, f_measure: 0.5797, kappa: 0.1601, kb_relative_information_score: 86.7697, mean_absolute_error: 0.4703, 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: 0.9406, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4939, root_relative_squared_error: 0.9878, scimark_benchmark: 1750.8922, usercpu_time_millis: 289.938, usercpu_time_millis_testing: 1.139, usercpu_time_millis_training: 288.799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5676, f_measure: 0.5343, kappa: 0.0693, kb_relative_information_score: 38.2788, mean_absolute_error: 0.4873, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5348, predictive_accuracy: 0.5347, prior_entropy: 1, recall: 0.5347, relative_absolute_error: 0.9745, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4974, root_relative_squared_error: 0.9948, scimark_benchmark: 1851.5125, usercpu_time_millis: 159.745, usercpu_time_millis_testing: 0.947, usercpu_time_millis_training: 158.798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5864, f_measure: 0.5552, kappa: 0.1106, kb_relative_information_score: 57.1253, mean_absolute_error: 0.4806, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5553, predictive_accuracy: 0.5553, prior_entropy: 1, recall: 0.5553, relative_absolute_error: 0.9613, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4965, root_relative_squared_error: 0.993, scimark_benchmark: 1780.5392, usercpu_time_millis: 146.826, usercpu_time_millis_testing: 0.934, usercpu_time_millis_training: 145.892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6156, f_measure: 0.583, kappa: 0.1667, kb_relative_information_score: 99.3669, mean_absolute_error: 0.4653, 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: 0.9305, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4961, root_relative_squared_error: 0.9923, scimark_benchmark: 1745.3266, usercpu_time_millis: 143.772, usercpu_time_millis_testing: 0.6, usercpu_time_millis_training: 143.172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6048, f_measure: 0.5775, kappa: 0.1551, kb_relative_information_score: 91.8577, mean_absolute_error: 0.4677, 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: 0.9355, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0002, scimark_benchmark: 1871.5019, usercpu_time_millis: 21.551, usercpu_time_millis_testing: 0.122, usercpu_time_millis_training: 21.429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6004, f_measure: 0.5726, kappa: 0.1452, kb_relative_information_score: 79.5609, mean_absolute_error: 0.4726, 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: 0.9451, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.498, root_relative_squared_error: 0.9959, scimark_benchmark: 1829.3677, usercpu_time_millis: 587.675, usercpu_time_millis_testing: 1.429, usercpu_time_millis_training: 586.246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6134, f_measure: 0.5756, kappa: 0.1518, kb_relative_information_score: 88.5903, mean_absolute_error: 0.4695, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5761, predictive_accuracy: 0.5759, prior_entropy: 1, recall: 0.5759, relative_absolute_error: 0.939, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4944, root_relative_squared_error: 0.9888, scimark_benchmark: 1744.4044, usercpu_time_millis: 328.635, usercpu_time_millis_testing: 1.433, usercpu_time_millis_training: 327.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6149, f_measure: 0.5766, kappa: 0.1535, kb_relative_information_score: 93.8017, mean_absolute_error: 0.4674, 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: 0.9349, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.495, root_relative_squared_error: 0.99, scimark_benchmark: 1549.1079, usercpu_time_millis: 236.691, usercpu_time_millis_testing: 0.74, usercpu_time_millis_training: 235.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6077, f_measure: 0.5749, kappa: 0.1502, kb_relative_information_score: 80.6294, mean_absolute_error: 0.4724, 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: 0.9448, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.495, root_relative_squared_error: 0.9899, scimark_benchmark: 1822.5506, usercpu_time_millis: 65.712, usercpu_time_millis_testing: 0.689, usercpu_time_millis_training: 65.023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.585, f_measure: 0.5641, kappa: 0.1287, kb_relative_information_score: 57.133, mean_absolute_error: 0.4807, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5645, predictive_accuracy: 0.5644, prior_entropy: 1, recall: 0.5644, relative_absolute_error: 0.9613, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4973, root_relative_squared_error: 0.9946, scimark_benchmark: 1775.8191, usercpu_time_millis: 28.918, usercpu_time_millis_testing: 0.117, usercpu_time_millis_training: 28.801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.525, f_measure: 0.5239, kappa: 0.0495, kb_relative_information_score: 7.2118, mean_absolute_error: 0.4978, 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: 0.9956, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4999, root_relative_squared_error: 0.9998, scimark_benchmark: 1745.3654, usercpu_time_millis: 19.37, usercpu_time_millis_testing: 0.36, usercpu_time_millis_training: 19.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5423, f_measure: 0.5122, kappa: 0.0248, kb_relative_information_score: 25.7228, mean_absolute_error: 0.4913, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5124, predictive_accuracy: 0.5124, prior_entropy: 1, recall: 0.5124, relative_absolute_error: 0.9826, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5006, root_relative_squared_error: 1.0012, scimark_benchmark: 1763.8636, usercpu_time_millis: 9.41, usercpu_time_millis_testing: 0.67, usercpu_time_millis_training: 8.74,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5, kb_relative_information_score: -0.0033, 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: 1829.5479, usercpu_time_millis: 0.835, usercpu_time_millis_testing: 0.115, usercpu_time_millis_training: 0.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4977, f_measure: 0.4765, kappa: -0.005, kb_relative_information_score: -0.0302, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4971, 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: 1735.9214, usercpu_time_millis: 0.677, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 0.581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6132, f_measure: 0.5724, kappa: 0.1452, kb_relative_information_score: 89.9428, mean_absolute_error: 0.4689, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5728, predictive_accuracy: 0.5726, prior_entropy: 1, recall: 0.5726, relative_absolute_error: 0.9378, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4949, root_relative_squared_error: 0.9897, scimark_benchmark: 1820.3317, usercpu_time_millis: 239.716, usercpu_time_millis_testing: 1.2, usercpu_time_millis_training: 238.516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5623, f_measure: 0.5374, kappa: 0.0776, kb_relative_information_score: 32.1952, mean_absolute_error: 0.4894, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5393, predictive_accuracy: 0.5388, prior_entropy: 1, recall: 0.5388, relative_absolute_error: 0.9789, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4972, root_relative_squared_error: 0.9944, scimark_benchmark: 1750.3868, usercpu_time_millis: 72.317, usercpu_time_millis_testing: 0.217, usercpu_time_millis_training: 72.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5855, f_measure: 0.5584, kappa: 0.1172, kb_relative_information_score: 57.2105, mean_absolute_error: 0.4807, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5587, predictive_accuracy: 0.5586, prior_entropy: 1, recall: 0.5586, relative_absolute_error: 0.9613, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4975, root_relative_squared_error: 0.9949, scimark_benchmark: 1822.8597, usercpu_time_millis: 74.547, usercpu_time_millis_testing: 0.43, usercpu_time_millis_training: 74.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5327, f_measure: 0.5183, kappa: 0.0429, kb_relative_information_score: 17.0635, mean_absolute_error: 0.4945, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.522, predictive_accuracy: 0.5215, prior_entropy: 1, recall: 0.5215, relative_absolute_error: 0.9889, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4988, root_relative_squared_error: 0.9977, scimark_benchmark: 1767.2369, usercpu_time_millis: 64.952, usercpu_time_millis_testing: 0.469, usercpu_time_millis_training: 64.483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6054, f_measure: 0.5734, kappa: 0.1469, kb_relative_information_score: 83.0323, mean_absolute_error: 0.4714, 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: 0.9428, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4965, root_relative_squared_error: 0.993, scimark_benchmark: 1784.2305, usercpu_time_millis: 48.066, usercpu_time_millis_testing: 0.218, usercpu_time_millis_training: 47.848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, f_measure: 0.4925, kappa: -0.005, kb_relative_information_score: -0.0065, 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: 1937.4217, usercpu_time_millis: 1.827, usercpu_time_millis_testing: 0.306, usercpu_time_millis_training: 1.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5775, f_measure: 0.5391, kappa: 0.0792, kb_relative_information_score: 47.9864, mean_absolute_error: 0.4838, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5398, predictive_accuracy: 0.5396, prior_entropy: 1, recall: 0.5396, relative_absolute_error: 0.9675, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4969, root_relative_squared_error: 0.9938, scimark_benchmark: 1864.2743, usercpu_time_millis: 38.929, usercpu_time_millis_testing: 0.265, usercpu_time_millis_training: 38.664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6135, f_measure: 0.5972, kappa: 0.1947, kb_relative_information_score: 105.5506, mean_absolute_error: 0.4626, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5975, predictive_accuracy: 0.5974, prior_entropy: 1, recall: 0.5974, relative_absolute_error: 0.9252, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4992, root_relative_squared_error: 0.9984, scimark_benchmark: 1879.4858, usercpu_time_millis: 28.378, usercpu_time_millis_testing: 0.135, usercpu_time_millis_training: 28.243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5166, f_measure: 0.5173, kappa: 0.0347, kb_relative_information_score: 3.9975, mean_absolute_error: 0.4988, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5173, predictive_accuracy: 0.5173, prior_entropy: 1, recall: 0.5173, relative_absolute_error: 0.9976, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0008, scimark_benchmark: 1417.914, usercpu_time_millis: 0.496, usercpu_time_millis_testing: 0.056, usercpu_time_millis_training: 0.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4972, f_measure: 0.4925, kappa: -0.005, kb_relative_information_score: -0.0115, 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: 1751.6412, usercpu_time_millis: 1.216, usercpu_time_millis_testing: 0.179, usercpu_time_millis_training: 1.037,

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