OpenML
Supervised Classification on hill-valley

Supervised Classification on hill-valley

Task 9970 Supervised Classification hill-valley 88527 runs submitted
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  • OpenML100 study_107 study_123 study_14 study_50 study_7
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6086, f_measure: 0.5758, kappa: 0.1518, kb_relative_information_score: 85.2112, mean_absolute_error: 0.4707, 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: 0.9413, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4958, root_relative_squared_error: 0.9916, scimark_benchmark: 1267.8335, usercpu_time_millis: 711.993, usercpu_time_millis_testing: 8.824, usercpu_time_millis_training: 703.169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5587, f_measure: 0.5253, kappa: 0.0512, kb_relative_information_score: 35.7456, mean_absolute_error: 0.4879, 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: 0.9759, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4989, root_relative_squared_error: 0.9977, scimark_benchmark: 1239.5439, usercpu_time_millis: 99.758, usercpu_time_millis_testing: 2.197, usercpu_time_millis_training: 97.561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5661, f_measure: 0.5313, kappa: 0.0627, kb_relative_information_score: 41.6243, mean_absolute_error: 0.4859, 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: 0.9718, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4988, root_relative_squared_error: 0.9977, scimark_benchmark: 1267.9262, usercpu_time_millis: 129.063, usercpu_time_millis_testing: 2.771, usercpu_time_millis_training: 126.292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5137, f_measure: 0.4992, kappa: 0.0017, kb_relative_information_score: 13.4259, mean_absolute_error: 0.4953, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5008, predictive_accuracy: 0.5008, prior_entropy: 1, recall: 0.5008, relative_absolute_error: 0.9906, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5036, root_relative_squared_error: 1.0071, scimark_benchmark: 1283.0221, usercpu_time_millis: 42.129, usercpu_time_millis_testing: 3.337, usercpu_time_millis_training: 38.792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.623, f_measure: 0.5898, kappa: 0.1799, kb_relative_information_score: 118.6348, mean_absolute_error: 0.4574, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.59, predictive_accuracy: 0.5899, prior_entropy: 1, recall: 0.5899, relative_absolute_error: 0.9148, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4975, root_relative_squared_error: 0.9949, scimark_benchmark: 1250.5357, usercpu_time_millis: 61.326, usercpu_time_millis_testing: 1.139, usercpu_time_millis_training: 60.187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5401, f_measure: 0.5217, kappa: 0.0479, kb_relative_information_score: 20.5115, mean_absolute_error: 0.4933, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5244, predictive_accuracy: 0.5239, prior_entropy: 1, recall: 0.5239, relative_absolute_error: 0.9866, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4986, root_relative_squared_error: 0.9971, scimark_benchmark: 1255.4622, usercpu_time_millis: 73.257, usercpu_time_millis_testing: 1.448, usercpu_time_millis_training: 71.809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, f_measure: 0.4925, kappa: -0.005, kb_relative_information_score: -0.0252, 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: 1281.3929, usercpu_time_millis: 5.766, usercpu_time_millis_testing: 0.994, usercpu_time_millis_training: 4.772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5619, f_measure: 0.535, kappa: 0.071, kb_relative_information_score: 29.6472, mean_absolute_error: 0.4904, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5356, predictive_accuracy: 0.5355, prior_entropy: 1, recall: 0.5355, relative_absolute_error: 0.9807, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4975, root_relative_squared_error: 0.995, scimark_benchmark: 1285.0553, usercpu_time_millis: 87.015, usercpu_time_millis_testing: 2.296, usercpu_time_millis_training: 84.719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5415, f_measure: 0.5181, kappa: 0.0363, kb_relative_information_score: 25.4648, mean_absolute_error: 0.4914, 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: 0.9827, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5011, root_relative_squared_error: 1.0021, scimark_benchmark: 1251.7864, usercpu_time_millis: 9.562, usercpu_time_millis_testing: 0.689, usercpu_time_millis_training: 8.873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5112, f_measure: 0.5092, kappa: 0.0231, kb_relative_information_score: 6.1817, mean_absolute_error: 0.4981, 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: 0.9962, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0007, scimark_benchmark: 1276.0362, usercpu_time_millis: 28.797, usercpu_time_millis_testing: 2.13, usercpu_time_millis_training: 26.667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5225, f_measure: 0.5061, kappa: 0.0198, kb_relative_information_score: 15.6197, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5102, predictive_accuracy: 0.5099, prior_entropy: 1, recall: 0.5099, relative_absolute_error: 0.9896, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0007, scimark_benchmark: 1254.7237, usercpu_time_millis: 37.664, usercpu_time_millis_testing: 1.61, usercpu_time_millis_training: 36.054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5198, f_measure: 0.4889, kappa: -0.0165, kb_relative_information_score: 11.4677, mean_absolute_error: 0.4963, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4916, predictive_accuracy: 0.4917, prior_entropy: 1, recall: 0.4917, relative_absolute_error: 0.9925, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0001, scimark_benchmark: 1281.1828, usercpu_time_millis: 31.436, usercpu_time_millis_testing: 1.782, usercpu_time_millis_training: 29.654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5765, f_measure: 0.5461, kappa: 0.0924, kb_relative_information_score: 50.7965, mean_absolute_error: 0.4827, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5462, predictive_accuracy: 0.5462, prior_entropy: 1, recall: 0.5462, relative_absolute_error: 0.9655, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4985, root_relative_squared_error: 0.997, scimark_benchmark: 1263.7375, usercpu_time_millis: 45.176, usercpu_time_millis_testing: 1.083, usercpu_time_millis_training: 44.093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5853, f_measure: 0.5634, kappa: 0.1271, kb_relative_information_score: 53.9701, mean_absolute_error: 0.4819, 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: 0.9638, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4969, root_relative_squared_error: 0.9939, scimark_benchmark: 1282.1065, usercpu_time_millis: 248.44, usercpu_time_millis_testing: 6.157, usercpu_time_millis_training: 242.283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.57, f_measure: 0.5459, kappa: 0.0924, kb_relative_information_score: 43.9931, mean_absolute_error: 0.4852, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5463, predictive_accuracy: 0.5462, prior_entropy: 1, recall: 0.5462, relative_absolute_error: 0.9703, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4989, root_relative_squared_error: 0.9978, scimark_benchmark: 1257.5864, usercpu_time_millis: 191.727, usercpu_time_millis_testing: 3.662, usercpu_time_millis_training: 188.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5537, f_measure: 0.5363, kappa: 0.0726, kb_relative_information_score: 35.831, mean_absolute_error: 0.488, 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: 0.9759, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5047, root_relative_squared_error: 1.0094, scimark_benchmark: 1257.7611, usercpu_time_millis: 113.497, usercpu_time_millis_testing: 8.142, usercpu_time_millis_training: 105.355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6068, f_measure: 0.5717, kappa: 0.1436, kb_relative_information_score: 89.6156, mean_absolute_error: 0.4688, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5718, predictive_accuracy: 0.5718, prior_entropy: 1, recall: 0.5718, relative_absolute_error: 0.9375, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4974, root_relative_squared_error: 0.9948, scimark_benchmark: 1258.3641, usercpu_time_millis: 212.493, usercpu_time_millis_testing: 3.63, usercpu_time_millis_training: 208.863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5732, f_measure: 0.5478, kappa: 0.0957, kb_relative_information_score: 48.1114, mean_absolute_error: 0.4838, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5479, predictive_accuracy: 0.5479, prior_entropy: 1, recall: 0.5479, relative_absolute_error: 0.9675, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4997, root_relative_squared_error: 0.9994, scimark_benchmark: 1281.3872, usercpu_time_millis: 57.573, usercpu_time_millis_testing: 1.402, usercpu_time_millis_training: 56.171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5396, f_measure: 0.5126, kappa: 0.0264, kb_relative_information_score: 25.7312, mean_absolute_error: 0.4912, 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: 0.9824, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5015, root_relative_squared_error: 1.0031, scimark_benchmark: 1283.788, usercpu_time_millis: 38.832, usercpu_time_millis_testing: 2.026, usercpu_time_millis_training: 36.806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, f_measure: 0.4992, kappa: -0.0017, kb_relative_information_score: -0.0064, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4992, 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: 1285.968, usercpu_time_millis: 10.11, usercpu_time_millis_testing: 1.166, usercpu_time_millis_training: 8.944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5533, f_measure: 0.5256, kappa: 0.0512, kb_relative_information_score: 33.9541, mean_absolute_error: 0.4884, 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: 0.9769, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4995, root_relative_squared_error: 0.999, scimark_benchmark: 1291.0715, usercpu_time_millis: 50.707, usercpu_time_millis_testing: 1.775, usercpu_time_millis_training: 48.932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, f_measure: 0.4925, kappa: -0.005, kb_relative_information_score: -0.0219, 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: 1282.6379, usercpu_time_millis: 8.967, usercpu_time_millis_testing: 1.42, usercpu_time_millis_training: 7.547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.564, f_measure: 0.5281, kappa: 0.0578, kb_relative_information_score: 36.604, mean_absolute_error: 0.4878, 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: 0.9755, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.498, root_relative_squared_error: 0.996, scimark_benchmark: 1280.65, usercpu_time_millis: 320.322, usercpu_time_millis_testing: 4.934, usercpu_time_millis_training: 315.388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6203, f_measure: 0.5965, kappa: 0.1931, kb_relative_information_score: 100.2257, mean_absolute_error: 0.4652, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5966, predictive_accuracy: 0.5965, prior_entropy: 1, recall: 0.5965, relative_absolute_error: 0.9304, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4942, root_relative_squared_error: 0.9884, scimark_benchmark: 1262.9379, usercpu_time_millis: 414.828, usercpu_time_millis_testing: 6.541, usercpu_time_millis_training: 408.287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5826, f_measure: 0.5685, kappa: 0.137, kb_relative_information_score: 53.3371, mean_absolute_error: 0.4822, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5685, predictive_accuracy: 0.5685, prior_entropy: 1, recall: 0.5685, relative_absolute_error: 0.9644, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4984, root_relative_squared_error: 0.9968, scimark_benchmark: 1282.8199, usercpu_time_millis: 93.707, usercpu_time_millis_testing: 4.269, usercpu_time_millis_training: 89.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5945, f_measure: 0.5783, kappa: 0.1568, kb_relative_information_score: 66.2156, mean_absolute_error: 0.4777, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5784, predictive_accuracy: 0.5784, prior_entropy: 1, recall: 0.5784, relative_absolute_error: 0.9553, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4972, root_relative_squared_error: 0.9943, scimark_benchmark: 1259.0438, usercpu_time_millis: 267.35, usercpu_time_millis_testing: 7.32, usercpu_time_millis_training: 260.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5867, f_measure: 0.5644, kappa: 0.1287, kb_relative_information_score: 61.0541, mean_absolute_error: 0.4793, 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: 0.9587, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4987, root_relative_squared_error: 0.9975, scimark_benchmark: 1284.0749, usercpu_time_millis: 211.887, usercpu_time_millis_testing: 6.454, usercpu_time_millis_training: 205.433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4977, f_measure: 0.4941, kappa: -0.0017, kb_relative_information_score: -0.0163, 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: 1283.2111, usercpu_time_millis: 6.993, usercpu_time_millis_testing: 0.974, usercpu_time_millis_training: 6.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5763, f_measure: 0.5509, kappa: 0.1023, kb_relative_information_score: 48.2602, mean_absolute_error: 0.4837, 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: 0.9674, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4979, root_relative_squared_error: 0.9957, scimark_benchmark: 1285.007, usercpu_time_millis: 51.498, usercpu_time_millis_testing: 1.132, usercpu_time_millis_training: 50.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5321, f_measure: 0.5171, kappa: 0.0396, kb_relative_information_score: 17.7787, mean_absolute_error: 0.4942, 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: 0.9883, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4994, root_relative_squared_error: 0.9988, scimark_benchmark: 1285.7252, usercpu_time_millis: 14.316, usercpu_time_millis_testing: 0.483, usercpu_time_millis_training: 13.833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5669, f_measure: 0.5444, kappa: 0.0891, kb_relative_information_score: 40.1594, mean_absolute_error: 0.4865, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5446, predictive_accuracy: 0.5446, prior_entropy: 1, recall: 0.5446, relative_absolute_error: 0.9731, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4983, root_relative_squared_error: 0.9965, scimark_benchmark: 1249.007, usercpu_time_millis: 9.7, usercpu_time_millis_testing: 0.223, usercpu_time_millis_training: 9.477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5867, f_measure: 0.5651, kappa: 0.1304, kb_relative_information_score: 58.692, mean_absolute_error: 0.4802, 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: 0.9604, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4981, root_relative_squared_error: 0.9963, scimark_benchmark: 1240.3371, usercpu_time_millis: 77.203, usercpu_time_millis_testing: 1.293, usercpu_time_millis_training: 75.91,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5654, f_measure: 0.5391, kappa: 0.0792, kb_relative_information_score: 36.1036, mean_absolute_error: 0.4881, 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: 0.9761, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4977, root_relative_squared_error: 0.9955, scimark_benchmark: 1287.0653, usercpu_time_millis: 119.696, usercpu_time_millis_testing: 2.538, usercpu_time_millis_training: 117.158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6254, f_measure: 0.5973, kappa: 0.1947, kb_relative_information_score: 121.654, mean_absolute_error: 0.4565, 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: 0.913, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4972, root_relative_squared_error: 0.9944, scimark_benchmark: 1263.8801, usercpu_time_millis: 678.842, usercpu_time_millis_testing: 8.776, usercpu_time_millis_training: 670.066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5213, f_measure: 0.5223, kappa: 0.0446, kb_relative_information_score: 4.8325, mean_absolute_error: 0.4986, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5223, predictive_accuracy: 0.5223, prior_entropy: 1, recall: 0.5223, relative_absolute_error: 0.9972, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0006, scimark_benchmark: 1279.473, usercpu_time_millis: 28.181, usercpu_time_millis_testing: 1.72, usercpu_time_millis_training: 26.461,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6097, f_measure: 0.5899, kappa: 0.1799, kb_relative_information_score: 97.649, mean_absolute_error: 0.4657, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5899, predictive_accuracy: 0.5899, prior_entropy: 1, recall: 0.5899, relative_absolute_error: 0.9313, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4992, root_relative_squared_error: 0.9985, scimark_benchmark: 1285.6215, usercpu_time_millis: 210.633, usercpu_time_millis_testing: 2.665, usercpu_time_millis_training: 207.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.593, f_measure: 0.5618, kappa: 0.1238, kb_relative_information_score: 64.8787, mean_absolute_error: 0.4781, 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: 0.9561, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4975, root_relative_squared_error: 0.9951, scimark_benchmark: 1254.475, usercpu_time_millis: 139.332, usercpu_time_millis_testing: 5.08, usercpu_time_millis_training: 134.252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5622, f_measure: 0.5333, kappa: 0.0677, kb_relative_information_score: 38.462, mean_absolute_error: 0.487, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.534, predictive_accuracy: 0.5338, prior_entropy: 1, recall: 0.5338, relative_absolute_error: 0.974, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4992, root_relative_squared_error: 0.9984, scimark_benchmark: 1241.9524, usercpu_time_millis: 74.209, usercpu_time_millis_testing: 1.493, usercpu_time_millis_training: 72.716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5552, f_measure: 0.5412, kappa: 0.0825, kb_relative_information_score: 34.4341, mean_absolute_error: 0.4885, 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: 0.977, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5024, root_relative_squared_error: 1.0047, scimark_benchmark: 1279.7334, usercpu_time_millis: 106.685, usercpu_time_millis_testing: 7.201, usercpu_time_millis_training: 99.484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5802, f_measure: 0.5585, kappa: 0.1172, kb_relative_information_score: 53.3292, mean_absolute_error: 0.4822, 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: 0.9643, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0002, scimark_benchmark: 1265.5337, usercpu_time_millis: 141.077, usercpu_time_millis_testing: 8.618, usercpu_time_millis_training: 132.459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5561, f_measure: 0.5207, kappa: 0.0429, kb_relative_information_score: 32.4548, mean_absolute_error: 0.4891, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5216, predictive_accuracy: 0.5215, prior_entropy: 1, recall: 0.5215, relative_absolute_error: 0.9783, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4988, root_relative_squared_error: 0.9977, scimark_benchmark: 1284.854, usercpu_time_millis: 64.28, usercpu_time_millis_testing: 1.53, usercpu_time_millis_training: 62.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6068, f_measure: 0.5783, kappa: 0.1568, kb_relative_information_score: 75.9135, mean_absolute_error: 0.4743, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5784, predictive_accuracy: 0.5784, prior_entropy: 1, recall: 0.5784, relative_absolute_error: 0.9486, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4946, root_relative_squared_error: 0.9892, scimark_benchmark: 1279.0006, usercpu_time_millis: 276.331, usercpu_time_millis_testing: 5.895, usercpu_time_millis_training: 270.436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.614, f_measure: 0.5808, kappa: 0.1617, kb_relative_information_score: 103.2621, mean_absolute_error: 0.4634, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5809, predictive_accuracy: 0.5809, prior_entropy: 1, recall: 0.5809, relative_absolute_error: 0.9268, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4981, root_relative_squared_error: 0.9961, scimark_benchmark: 1249.7071, usercpu_time_millis: 691.701, usercpu_time_millis_testing: 7.112, usercpu_time_millis_training: 684.589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5372, f_measure: 0.5215, kappa: 0.0479, kb_relative_information_score: 18.9639, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5244, predictive_accuracy: 0.5239, prior_entropy: 1, recall: 0.5239, relative_absolute_error: 0.9877, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4988, root_relative_squared_error: 0.9976, scimark_benchmark: 1257.8504, usercpu_time_millis: 17.445, usercpu_time_millis_testing: 0.46, usercpu_time_millis_training: 16.985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5265, f_measure: 0.5247, kappa: 0.0528, kb_relative_information_score: 10.1788, mean_absolute_error: 0.4969, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5268, predictive_accuracy: 0.5264, prior_entropy: 1, recall: 0.5264, relative_absolute_error: 0.9937, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4991, root_relative_squared_error: 0.9982, scimark_benchmark: 1279.4569, usercpu_time_millis: 83.532, usercpu_time_millis_testing: 1.73, usercpu_time_millis_training: 81.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5582, f_measure: 0.5485, kappa: 0.0974, kb_relative_information_score: 37.3944, mean_absolute_error: 0.4874, 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: 0.9748, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5017, root_relative_squared_error: 1.0035, scimark_benchmark: 1282.9154, usercpu_time_millis: 85.947, usercpu_time_millis_testing: 3.524, usercpu_time_millis_training: 82.423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5306, f_measure: 0.5224, kappa: 0.0512, kb_relative_information_score: 12.4678, mean_absolute_error: 0.4961, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5263, predictive_accuracy: 0.5256, prior_entropy: 1, recall: 0.5256, relative_absolute_error: 0.9921, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4991, root_relative_squared_error: 0.9983, scimark_benchmark: 1247.3705, usercpu_time_millis: 76.744, usercpu_time_millis_testing: 2.057, usercpu_time_millis_training: 74.687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5997, f_measure: 0.5806, kappa: 0.1617, kb_relative_information_score: 67.7108, mean_absolute_error: 0.4772, 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: 0.9545, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4957, root_relative_squared_error: 0.9913, scimark_benchmark: 1253.8294, usercpu_time_millis: 182.678, usercpu_time_millis_testing: 2.746, usercpu_time_millis_training: 179.932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5291, f_measure: 0.5111, kappa: 0.0264, kb_relative_information_score: 17.9976, mean_absolute_error: 0.494, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5134, predictive_accuracy: 0.5132, prior_entropy: 1, recall: 0.5132, relative_absolute_error: 0.988, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0008, scimark_benchmark: 1280.1039, usercpu_time_millis: 17.482, usercpu_time_millis_testing: 0.904, usercpu_time_millis_training: 16.578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6099, f_measure: 0.5775, kappa: 0.1551, kb_relative_information_score: 81.6693, mean_absolute_error: 0.4722, 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: 0.9445, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4947, root_relative_squared_error: 0.9894, scimark_benchmark: 1284.1252, usercpu_time_millis: 82.03, usercpu_time_millis_testing: 1.423, usercpu_time_millis_training: 80.607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5959, f_measure: 0.5627, kappa: 0.1254, kb_relative_information_score: 69.7065, mean_absolute_error: 0.4763, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5627, predictive_accuracy: 0.5627, prior_entropy: 1, recall: 0.5627, relative_absolute_error: 0.9526, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4971, root_relative_squared_error: 0.9943, scimark_benchmark: 1256.4293, usercpu_time_millis: 29.914, usercpu_time_millis_testing: 0.791, usercpu_time_millis_training: 29.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5992, f_measure: 0.5718, kappa: 0.1436, kb_relative_information_score: 73.9993, mean_absolute_error: 0.4749, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5718, predictive_accuracy: 0.5718, prior_entropy: 1, recall: 0.5718, relative_absolute_error: 0.9498, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4975, root_relative_squared_error: 0.995, scimark_benchmark: 1280.3001, usercpu_time_millis: 371.647, usercpu_time_millis_testing: 6.805, usercpu_time_millis_training: 364.842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5295, f_measure: 0.5126, kappa: 0.0281, kb_relative_information_score: 18.8468, mean_absolute_error: 0.4936, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5142, predictive_accuracy: 0.514, prior_entropy: 1, recall: 0.514, relative_absolute_error: 0.9872, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5018, root_relative_squared_error: 1.0036, scimark_benchmark: 1271.1885, usercpu_time_millis: 11.238, usercpu_time_millis_testing: 0.729, usercpu_time_millis_training: 10.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5931, f_measure: 0.5652, kappa: 0.1304, kb_relative_information_score: 67.1863, mean_absolute_error: 0.4772, 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: 0.9544, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4981, root_relative_squared_error: 0.9962, scimark_benchmark: 1286.8369, usercpu_time_millis: 174.615, usercpu_time_millis_testing: 3.413, usercpu_time_millis_training: 171.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5468, f_measure: 0.5202, kappa: 0.0413, kb_relative_information_score: 28.0498, mean_absolute_error: 0.4906, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5207, predictive_accuracy: 0.5206, prior_entropy: 1, recall: 0.5206, relative_absolute_error: 0.9812, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5013, root_relative_squared_error: 1.0027, scimark_benchmark: 1268.3177, usercpu_time_millis: 64.968, usercpu_time_millis_testing: 3.607, usercpu_time_millis_training: 61.361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.588, f_measure: 0.5643, kappa: 0.1287, kb_relative_information_score: 66.1164, mean_absolute_error: 0.4774, 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: 0.9549, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0009, scimark_benchmark: 1256.9963, usercpu_time_millis: 206.928, usercpu_time_millis_testing: 7.52, usercpu_time_millis_training: 199.408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, f_measure: 0.5017, kappa: 0.0033, kb_relative_information_score: -0.0016, 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: 1282.0211, usercpu_time_millis: 10.512, usercpu_time_millis_testing: 1.173, usercpu_time_millis_training: 9.339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5589, f_measure: 0.5303, kappa: 0.0627, kb_relative_information_score: 32.523, mean_absolute_error: 0.4892, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5316, predictive_accuracy: 0.5314, prior_entropy: 1, recall: 0.5314, relative_absolute_error: 0.9784, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4982, root_relative_squared_error: 0.9964, scimark_benchmark: 1288.4028, usercpu_time_millis: 256.823, usercpu_time_millis_testing: 3.721, usercpu_time_millis_training: 253.102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.4951, 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: 1247.6642, usercpu_time_millis: 5.246, usercpu_time_millis_testing: 0.64, usercpu_time_millis_training: 4.606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5494, f_measure: 0.5314, kappa: 0.0644, kb_relative_information_score: 16.9754, mean_absolute_error: 0.4947, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5324, predictive_accuracy: 0.5322, prior_entropy: 1, recall: 0.5322, relative_absolute_error: 0.9894, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4987, root_relative_squared_error: 0.9974, scimark_benchmark: 1246.4146, usercpu_time_millis: 67.272, usercpu_time_millis_testing: 1.92, usercpu_time_millis_training: 65.352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5934, f_measure: 0.5611, kappa: 0.1221, kb_relative_information_score: 62.6817, mean_absolute_error: 0.4789, 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: 0.9578, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4963, root_relative_squared_error: 0.9927, scimark_benchmark: 1280.1523, usercpu_time_millis: 426.568, usercpu_time_millis_testing: 4.258, usercpu_time_millis_training: 422.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5933, f_measure: 0.5759, kappa: 0.1518, kb_relative_information_score: 73.4988, mean_absolute_error: 0.4747, 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: 0.9495, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0004, scimark_benchmark: 1263.583, usercpu_time_millis: 99.733, usercpu_time_millis_testing: 3.189, usercpu_time_millis_training: 96.544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4967, f_measure: 0.4967, kappa: -0.0066, kb_relative_information_score: -0.0138, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4967, 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: 1270.5944, usercpu_time_millis: 10.386, usercpu_time_millis_testing: 1.371, usercpu_time_millis_training: 9.015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5224, f_measure: 0.5179, kappa: 0.0396, kb_relative_information_score: 9.0166, mean_absolute_error: 0.4972, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5201, predictive_accuracy: 0.5198, prior_entropy: 1, recall: 0.5198, relative_absolute_error: 0.9944, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4998, root_relative_squared_error: 0.9996, scimark_benchmark: 1267.1778, usercpu_time_millis: 11.101, usercpu_time_millis_testing: 0.709, usercpu_time_millis_training: 10.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5156, f_measure: 0.5109, kappa: 0.0281, kb_relative_information_score: 8.5535, mean_absolute_error: 0.4973, 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: 0.9946, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4999, root_relative_squared_error: 0.9998, scimark_benchmark: 1244.2542, usercpu_time_millis: 21.059, usercpu_time_millis_testing: 1.316, usercpu_time_millis_training: 19.743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5967, f_measure: 0.5701, kappa: 0.1403, kb_relative_information_score: 73.6137, mean_absolute_error: 0.4748, 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: 0.9496, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4983, root_relative_squared_error: 0.9966, scimark_benchmark: 1270.7755, usercpu_time_millis: 41.701, usercpu_time_millis_testing: 1.344, usercpu_time_millis_training: 40.357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5869, f_measure: 0.5701, kappa: 0.1403, kb_relative_information_score: 58.6557, mean_absolute_error: 0.4803, 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: 0.9605, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4981, root_relative_squared_error: 0.9961, scimark_benchmark: 1253.244, usercpu_time_millis: 88.505, usercpu_time_millis_testing: 2.39, usercpu_time_millis_training: 86.115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5953, f_measure: 0.5658, kappa: 0.132, kb_relative_information_score: 69.9386, mean_absolute_error: 0.4761, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5661, predictive_accuracy: 0.566, prior_entropy: 1, recall: 0.566, relative_absolute_error: 0.9522, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4975, root_relative_squared_error: 0.995, scimark_benchmark: 1272.1312, usercpu_time_millis: 87.42, usercpu_time_millis_testing: 1.278, usercpu_time_millis_training: 86.142,

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