Task
Supervised Classification on hill-valley

Supervised Classification on hill-valley

Task 145847 Supervised Classification hill-valley 92422 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5745, f_measure: 0.5512, kappa: 0.104, kb_relative_information_score: 36.6328, mean_absolute_error: 0.4881, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5523, predictive_accuracy: 0.552, prior_entropy: 1, recall: 0.552, relative_absolute_error: 0.9762, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4959, root_relative_squared_error: 0.9918, scimark_benchmark: 1741.2968, usercpu_time_millis: 232.972, usercpu_time_millis_testing: 0.733, usercpu_time_millis_training: 232.239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6164, f_measure: 0.588, kappa: 0.1766, kb_relative_information_score: 92.2792, mean_absolute_error: 0.4682, 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: 0.9364, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.494, root_relative_squared_error: 0.988, scimark_benchmark: 1749.5822, usercpu_time_millis: 213.769, usercpu_time_millis_testing: 1.039, usercpu_time_millis_training: 212.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6018, f_measure: 0.5774, kappa: 0.1551, kb_relative_information_score: 91.9197, mean_absolute_error: 0.4676, 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: 0.9352, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5024, root_relative_squared_error: 1.0047, scimark_benchmark: 1745.4265, usercpu_time_millis: 178.426, usercpu_time_millis_testing: 0.379, usercpu_time_millis_training: 178.047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5948, f_measure: 0.5659, kappa: 0.132, kb_relative_information_score: 63.9693, mean_absolute_error: 0.4784, 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: 0.9568, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4958, root_relative_squared_error: 0.9916, scimark_benchmark: 1747.8606, usercpu_time_millis: 152.859, usercpu_time_millis_testing: 0.764, usercpu_time_millis_training: 152.095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5305, f_measure: 0.5177, kappa: 0.0396, kb_relative_information_score: 12.1693, mean_absolute_error: 0.4962, 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: 0.9924, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4989, root_relative_squared_error: 0.9978, scimark_benchmark: 1751.8191, usercpu_time_millis: 109.639, usercpu_time_millis_testing: 0.479, usercpu_time_millis_training: 109.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.562, f_measure: 0.5382, kappa: 0.0792, kb_relative_information_score: 22.6074, mean_absolute_error: 0.4929, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5401, predictive_accuracy: 0.5396, prior_entropy: 1, recall: 0.5396, relative_absolute_error: 0.9859, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4979, root_relative_squared_error: 0.9958, scimark_benchmark: 1751.4184, usercpu_time_millis: 101.035, usercpu_time_millis_testing: 0.215, usercpu_time_millis_training: 100.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5635, f_measure: 0.5404, kappa: 0.0825, kb_relative_information_score: 31.9325, mean_absolute_error: 0.4895, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5416, predictive_accuracy: 0.5413, prior_entropy: 1, recall: 0.5413, relative_absolute_error: 0.9791, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4973, root_relative_squared_error: 0.9945, scimark_benchmark: 1746.226, usercpu_time_millis: 97.363, usercpu_time_millis_testing: 0.809, usercpu_time_millis_training: 96.554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6044, f_measure: 0.57, kappa: 0.1403, kb_relative_information_score: 85.1948, mean_absolute_error: 0.4703, 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: 0.9407, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4972, root_relative_squared_error: 0.9943, scimark_benchmark: 1733.6832, usercpu_time_millis: 53.901, usercpu_time_millis_testing: 0.235, usercpu_time_millis_training: 53.666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5199, f_measure: 0.528, kappa: 0.0578, kb_relative_information_score: 5.5703, mean_absolute_error: 0.4983, 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: 0.9966, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0002, scimark_benchmark: 1949.0136, usercpu_time_millis: 36.189, usercpu_time_millis_testing: 0.34, usercpu_time_millis_training: 35.849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5454, f_measure: 0.527, kappa: 0.0578, kb_relative_information_score: 22.8928, mean_absolute_error: 0.4925, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5294, predictive_accuracy: 0.5289, prior_entropy: 1, recall: 0.5289, relative_absolute_error: 0.985, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4979, root_relative_squared_error: 0.9958, scimark_benchmark: 1732.5591, usercpu_time_millis: 22.269, usercpu_time_millis_testing: 0.355, usercpu_time_millis_training: 21.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5907, f_measure: 0.5668, kappa: 0.1337, kb_relative_information_score: 66.391, mean_absolute_error: 0.4774, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5668, predictive_accuracy: 0.5668, prior_entropy: 1, recall: 0.5668, relative_absolute_error: 0.9547, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4985, root_relative_squared_error: 0.997, scimark_benchmark: 1750.3868, usercpu_time_millis: 16.571, usercpu_time_millis_testing: 0.56, usercpu_time_millis_training: 16.011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4965, f_measure: 0.4925, kappa: -0.005, kb_relative_information_score: -0.0189, 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: 1731.7648, usercpu_time_millis: 1.804, usercpu_time_millis_testing: 0.305, usercpu_time_millis_training: 1.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.549, f_measure: 0.5123, kappa: 0.0248, kb_relative_information_score: 33.5164, mean_absolute_error: 0.4885, 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: 0.9769, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5039, root_relative_squared_error: 1.0078, scimark_benchmark: 1750.8922, usercpu_time_millis: 1.438, usercpu_time_millis_testing: 0.055, usercpu_time_millis_training: 1.383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4972, f_measure: 0.4925, kappa: -0.005, kb_relative_information_score: -0.0118, 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: 1853.2563, usercpu_time_millis: 0.627, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 0.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.5, kb_relative_information_score: -0.0021, 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: 1749.1199, usercpu_time_millis: 1.75, usercpu_time_millis_testing: 0.251, usercpu_time_millis_training: 1.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5579, f_measure: 0.5527, kappa: 0.1056, kb_relative_information_score: 44.2942, mean_absolute_error: 0.4852, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5529, predictive_accuracy: 0.5528, prior_entropy: 1, recall: 0.5528, relative_absolute_error: 0.9705, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5125, root_relative_squared_error: 1.0249, scimark_benchmark: 1751.6408, usercpu_time_millis: 0.768, usercpu_time_millis_testing: 0.052, usercpu_time_millis_training: 0.716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.4941, kappa: -0.0017, kb_relative_information_score: -0.0042, 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: 1756.5535, usercpu_time_millis: 2.508, usercpu_time_millis_testing: 0.388, usercpu_time_millis_training: 2.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.57, f_measure: 0.5332, kappa: 0.0677, kb_relative_information_score: 40.053, mean_absolute_error: 0.4866, 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: 0.9732, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4974, root_relative_squared_error: 0.9948, scimark_benchmark: 1782.4914, usercpu_time_millis: 84.96, usercpu_time_millis_testing: 0.788, usercpu_time_millis_training: 84.172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5844, f_measure: 0.5527, kappa: 0.1056, kb_relative_information_score: 49.8181, mean_absolute_error: 0.4835, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5529, predictive_accuracy: 0.5528, prior_entropy: 1, recall: 0.5528, relative_absolute_error: 0.9671, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4958, root_relative_squared_error: 0.9916, scimark_benchmark: 1821.6094, usercpu_time_millis: 65.159, usercpu_time_millis_testing: 0.273, usercpu_time_millis_training: 64.886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6079, f_measure: 0.5765, kappa: 0.1535, kb_relative_information_score: 79.6449, mean_absolute_error: 0.4729, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5769, predictive_accuracy: 0.5767, prior_entropy: 1, recall: 0.5767, relative_absolute_error: 0.9457, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4946, root_relative_squared_error: 0.9892, scimark_benchmark: 1851.8346, usercpu_time_millis: 193.461, usercpu_time_millis_testing: 1.304, usercpu_time_millis_training: 192.157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.594, f_measure: 0.5743, kappa: 0.1485, kb_relative_information_score: 74.7126, mean_absolute_error: 0.4745, 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: 0.949, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1832.7977, usercpu_time_millis: 75.363, usercpu_time_millis_testing: 0.142, usercpu_time_millis_training: 75.221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.532, f_measure: 0.5108, kappa: 0.0248, kb_relative_information_score: 10.8709, mean_absolute_error: 0.4966, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5125, predictive_accuracy: 0.5124, prior_entropy: 1, recall: 0.5124, relative_absolute_error: 0.9933, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4996, root_relative_squared_error: 0.9992, scimark_benchmark: 1799.1216, usercpu_time_millis: 1.534, usercpu_time_millis_testing: 0.054, usercpu_time_millis_training: 1.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5901, f_measure: 0.566, kappa: 0.132, kb_relative_information_score: 62.4997, mean_absolute_error: 0.4788, 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: 0.9576, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4976, root_relative_squared_error: 0.9953, scimark_benchmark: 1815.5315, usercpu_time_millis: 17.36, usercpu_time_millis_testing: 0.235, usercpu_time_millis_training: 17.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6152, f_measure: 0.579, kappa: 0.1584, kb_relative_information_score: 129.6828, mean_absolute_error: 0.4518, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5793, predictive_accuracy: 0.5792, prior_entropy: 1, recall: 0.5792, relative_absolute_error: 0.9035, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5096, root_relative_squared_error: 1.0193, scimark_benchmark: 2144.544, usercpu_time_millis: 356.118, usercpu_time_millis_testing: 1.281, usercpu_time_millis_training: 354.837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5994, f_measure: 0.5783, kappa: 0.1568, kb_relative_information_score: 77.3034, mean_absolute_error: 0.4734, 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: 0.9469, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4981, root_relative_squared_error: 0.9961, scimark_benchmark: 1756.6381, usercpu_time_millis: 186.07, usercpu_time_millis_testing: 0.796, usercpu_time_millis_training: 185.274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5986, f_measure: 0.57, kappa: 0.1403, kb_relative_information_score: 65.5971, mean_absolute_error: 0.4779, 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: 0.9558, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4949, root_relative_squared_error: 0.9897, scimark_benchmark: 1826.5166, usercpu_time_millis: 135, usercpu_time_millis_testing: 0.749, usercpu_time_millis_training: 134.251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5362, f_measure: 0.5175, kappa: 0.0396, kb_relative_information_score: 13.7742, mean_absolute_error: 0.4957, 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: 0.9914, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4983, root_relative_squared_error: 0.9966, scimark_benchmark: 1758.2676, usercpu_time_millis: 116.228, usercpu_time_millis_testing: 0.456, usercpu_time_millis_training: 115.772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6111, f_measure: 0.578, kappa: 0.1568, kb_relative_information_score: 83.9101, mean_absolute_error: 0.4713, 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: 0.9426, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4943, root_relative_squared_error: 0.9886, scimark_benchmark: 1785.8814, usercpu_time_millis: 172.281, usercpu_time_millis_testing: 0.949, usercpu_time_millis_training: 171.332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5842, f_measure: 0.5626, kappa: 0.1254, kb_relative_information_score: 52.5592, mean_absolute_error: 0.4824, 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: 0.9648, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4965, root_relative_squared_error: 0.993, scimark_benchmark: 1771.0771, usercpu_time_millis: 109.732, usercpu_time_millis_testing: 0.807, usercpu_time_millis_training: 108.925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5664, f_measure: 0.5342, kappa: 0.0693, kb_relative_information_score: 40.4158, mean_absolute_error: 0.4864, 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: 0.9729, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4991, root_relative_squared_error: 0.9981, scimark_benchmark: 2160.5661, usercpu_time_millis: 25.01, usercpu_time_millis_testing: 0.487, usercpu_time_millis_training: 24.523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5652, f_measure: 0.5379, kappa: 0.0759, kb_relative_information_score: 42.0354, mean_absolute_error: 0.4857, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.538, predictive_accuracy: 0.538, prior_entropy: 1, recall: 0.538, relative_absolute_error: 0.9713, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4985, root_relative_squared_error: 0.9971, scimark_benchmark: 1827.0167, usercpu_time_millis: 7.58, usercpu_time_millis_testing: 0.152, usercpu_time_millis_training: 7.428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5351, f_measure: 0.5056, kappa: 0.0132, kb_relative_information_score: 21.5833, mean_absolute_error: 0.4927, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5067, predictive_accuracy: 0.5066, prior_entropy: 1, recall: 0.5066, relative_absolute_error: 0.9854, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4996, root_relative_squared_error: 0.9992, scimark_benchmark: 1774.9003, usercpu_time_millis: 31.527, usercpu_time_millis_testing: 0.271, usercpu_time_millis_training: 31.256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5534, f_measure: 0.5208, kappa: 0.0429, kb_relative_information_score: 32.8816, mean_absolute_error: 0.4889, 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: 0.9778, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0008, scimark_benchmark: 1785.4454, usercpu_time_millis: 24.291, usercpu_time_millis_testing: 0.941, usercpu_time_millis_training: 23.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6182, f_measure: 0.5847, kappa: 0.17, kb_relative_information_score: 118.1326, mean_absolute_error: 0.4573, 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: 0.9146, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.501, root_relative_squared_error: 1.0021, scimark_benchmark: 1372.561, usercpu_time_millis: 634.93, usercpu_time_millis_testing: 2.242, usercpu_time_millis_training: 632.688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6214, f_measure: 0.5824, kappa: 0.165, kb_relative_information_score: 127.8793, mean_absolute_error: 0.4532, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5826, predictive_accuracy: 0.5825, prior_entropy: 1, recall: 0.5825, relative_absolute_error: 0.9063, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5028, root_relative_squared_error: 1.0055, scimark_benchmark: 1373.704, usercpu_time_millis: 298.214, usercpu_time_millis_testing: 1.896, usercpu_time_millis_training: 296.318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5973, f_measure: 0.5627, kappa: 0.1254, kb_relative_information_score: 73.8974, mean_absolute_error: 0.4747, 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: 0.9494, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4978, root_relative_squared_error: 0.9957, scimark_benchmark: 1371.7109, usercpu_time_millis: 170.841, usercpu_time_millis_testing: 0.662, usercpu_time_millis_training: 170.179,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5718, f_measure: 0.5336, kappa: 0.0677, kb_relative_information_score: 44.5936, mean_absolute_error: 0.485, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5339, predictive_accuracy: 0.5338, prior_entropy: 1, recall: 0.5338, relative_absolute_error: 0.97, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4978, root_relative_squared_error: 0.9955, scimark_benchmark: 1370.2594, usercpu_time_millis: 29.716, usercpu_time_millis_testing: 0.392, usercpu_time_millis_training: 29.324,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6046, f_measure: 0.5782, kappa: 0.1568, kb_relative_information_score: 88.2984, mean_absolute_error: 0.4693, 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: 0.9386, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4992, root_relative_squared_error: 0.9984, scimark_benchmark: 1375.753, usercpu_time_millis: 163.552, usercpu_time_millis_testing: 0.604, usercpu_time_millis_training: 162.948,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.593, f_measure: 0.5667, kappa: 0.1337, kb_relative_information_score: 64.293, mean_absolute_error: 0.4782, 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: 0.9564, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4965, root_relative_squared_error: 0.993, scimark_benchmark: 1372.1339, usercpu_time_millis: 262.397, usercpu_time_millis_testing: 1.208, usercpu_time_millis_training: 261.189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6133, f_measure: 0.5791, kappa: 0.1584, kb_relative_information_score: 95.0589, mean_absolute_error: 0.4669, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5793, predictive_accuracy: 0.5792, prior_entropy: 1, recall: 0.5792, relative_absolute_error: 0.9338, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4963, root_relative_squared_error: 0.9926, scimark_benchmark: 1372.5795, usercpu_time_millis: 12.172, usercpu_time_millis_testing: 0.171, usercpu_time_millis_training: 12.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.606, f_measure: 0.5757, kappa: 0.1518, kb_relative_information_score: 82.7594, mean_absolute_error: 0.4715, 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: 0.943, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4962, root_relative_squared_error: 0.9923, scimark_benchmark: 1370.8682, usercpu_time_millis: 376.746, usercpu_time_millis_testing: 1.11, usercpu_time_millis_training: 375.636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5256, f_measure: 0.5063, kappa: 0.0165, kb_relative_information_score: 12.994, mean_absolute_error: 0.4958, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5084, predictive_accuracy: 0.5083, prior_entropy: 1, recall: 0.5083, relative_absolute_error: 0.9915, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4998, root_relative_squared_error: 0.9996, scimark_benchmark: 1365.2827, usercpu_time_millis: 5.733, usercpu_time_millis_testing: 0.148, usercpu_time_millis_training: 5.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6191, f_measure: 0.5849, kappa: 0.17, kb_relative_information_score: 125.0195, mean_absolute_error: 0.4544, 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: 0.9087, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5036, root_relative_squared_error: 1.0072, scimark_benchmark: 1368.9114, usercpu_time_millis: 149.159, usercpu_time_millis_testing: 0.533, usercpu_time_millis_training: 148.626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5563, f_measure: 0.5328, kappa: 0.066, kb_relative_information_score: 34.8477, mean_absolute_error: 0.4882, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5331, predictive_accuracy: 0.533, prior_entropy: 1, recall: 0.533, relative_absolute_error: 0.9765, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4988, root_relative_squared_error: 0.9975, scimark_benchmark: 1368.5638, usercpu_time_millis: 196.19, usercpu_time_millis_testing: 0.991, usercpu_time_millis_training: 195.199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.567, f_measure: 0.5364, kappa: 0.0743, kb_relative_information_score: 35.6078, mean_absolute_error: 0.4883, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5374, predictive_accuracy: 0.5371, prior_entropy: 1, recall: 0.5371, relative_absolute_error: 0.9766, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4971, root_relative_squared_error: 0.9943, scimark_benchmark: 1372.0809, usercpu_time_millis: 245.666, usercpu_time_millis_testing: 1.047, usercpu_time_millis_training: 244.619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5951, f_measure: 0.5684, kappa: 0.137, kb_relative_information_score: 72.09, mean_absolute_error: 0.4754, 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: 0.9508, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4985, root_relative_squared_error: 0.997, scimark_benchmark: 1376.5155, usercpu_time_millis: 73.149, usercpu_time_millis_testing: 1.692, usercpu_time_millis_training: 71.457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4979, f_measure: 0.4984, kappa: -0.0033, kb_relative_information_score: -0.011, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4984, predictive_accuracy: 0.4984, prior_entropy: 1, recall: 0.4984, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1372.1016, usercpu_time_millis: 2.032, usercpu_time_millis_testing: 0.419, usercpu_time_millis_training: 1.613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4965, f_measure: 0.4967, kappa: -0.0066, kb_relative_information_score: -0.0107, 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: 1374.3187, usercpu_time_millis: 1.246, usercpu_time_millis_testing: 0.31, usercpu_time_millis_training: 0.936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5394, f_measure: 0.516, kappa: 0.0363, kb_relative_information_score: 21.5631, mean_absolute_error: 0.4929, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5185, predictive_accuracy: 0.5182, prior_entropy: 1, recall: 0.5182, relative_absolute_error: 0.9858, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4989, root_relative_squared_error: 0.9977, scimark_benchmark: 1373.45, usercpu_time_millis: 94.894, usercpu_time_millis_testing: 0.748, usercpu_time_millis_training: 94.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5634, f_measure: 0.5346, kappa: 0.0693, kb_relative_information_score: 37.0799, mean_absolute_error: 0.4876, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5347, predictive_accuracy: 0.5347, prior_entropy: 1, recall: 0.5347, relative_absolute_error: 0.9752, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4991, root_relative_squared_error: 0.9983, scimark_benchmark: 1379.0547, usercpu_time_millis: 14.007, usercpu_time_millis_testing: 1.015, usercpu_time_millis_training: 12.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5567, f_measure: 0.5444, kappa: 0.0908, kb_relative_information_score: 29.8003, mean_absolute_error: 0.4902, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5458, predictive_accuracy: 0.5454, prior_entropy: 1, recall: 0.5454, relative_absolute_error: 0.9804, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4979, root_relative_squared_error: 0.9957, scimark_benchmark: 1376.994, usercpu_time_millis: 93.352, usercpu_time_millis_testing: 0.416, usercpu_time_millis_training: 92.936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5843, f_measure: 0.5621, kappa: 0.1254, kb_relative_information_score: 43.0561, mean_absolute_error: 0.486, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5631, predictive_accuracy: 0.5627, prior_entropy: 1, recall: 0.5627, relative_absolute_error: 0.972, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4953, root_relative_squared_error: 0.9906, scimark_benchmark: 1374.6905, usercpu_time_millis: 212.231, usercpu_time_millis_testing: 0.734, usercpu_time_millis_training: 211.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5883, f_measure: 0.5668, kappa: 0.1337, kb_relative_information_score: 60.0536, mean_absolute_error: 0.4796, 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: 0.9592, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4968, root_relative_squared_error: 0.9935, scimark_benchmark: 1378.5553, usercpu_time_millis: 118.985, usercpu_time_millis_testing: 0.653, usercpu_time_millis_training: 118.332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5954, f_measure: 0.5742, kappa: 0.1485, kb_relative_information_score: 66.7577, mean_absolute_error: 0.4774, 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: 0.9549, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4967, root_relative_squared_error: 0.9935, scimark_benchmark: 1374.0783, usercpu_time_millis: 22.301, usercpu_time_millis_testing: 0.531, usercpu_time_millis_training: 21.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5578, f_measure: 0.537, kappa: 0.0776, kb_relative_information_score: 25.3949, mean_absolute_error: 0.4919, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5394, predictive_accuracy: 0.5388, prior_entropy: 1, recall: 0.5388, relative_absolute_error: 0.9838, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4969, root_relative_squared_error: 0.9939, scimark_benchmark: 1378.5353, usercpu_time_millis: 68.424, usercpu_time_millis_testing: 0.401, usercpu_time_millis_training: 68.023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5264, f_measure: 0.516, kappa: 0.0363, kb_relative_information_score: 10.2549, mean_absolute_error: 0.4968, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5185, predictive_accuracy: 0.5182, prior_entropy: 1, recall: 0.5182, relative_absolute_error: 0.9936, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4992, root_relative_squared_error: 0.9984, scimark_benchmark: 1372.7604, usercpu_time_millis: 60.016, usercpu_time_millis_testing: 0.376, usercpu_time_millis_training: 59.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5726, f_measure: 0.5398, kappa: 0.0809, kb_relative_information_score: 41.1134, mean_absolute_error: 0.4863, 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: 0.9726, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4969, root_relative_squared_error: 0.9937, scimark_benchmark: 1374.0678, usercpu_time_millis: 310.965, usercpu_time_millis_testing: 0.83, usercpu_time_millis_training: 310.135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5805, f_measure: 0.5491, kappa: 0.099, kb_relative_information_score: 45.8656, mean_absolute_error: 0.4848, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5497, predictive_accuracy: 0.5495, prior_entropy: 1, recall: 0.5495, relative_absolute_error: 0.9696, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4959, root_relative_squared_error: 0.9917, scimark_benchmark: 1375.822, usercpu_time_millis: 96.097, usercpu_time_millis_testing: 0.326, usercpu_time_millis_training: 95.771,
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: 0.5729, f_measure: 0.5482, kappa: 0.0974, kb_relative_information_score: 41.7882, mean_absolute_error: 0.4861, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5489, predictive_accuracy: 0.5487, prior_entropy: 1, recall: 0.5487, relative_absolute_error: 0.9722, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4969, root_relative_squared_error: 0.9939, scimark_benchmark: 1373.1726, usercpu_time_millis: 90.449, usercpu_time_millis_testing: 0.291, usercpu_time_millis_training: 90.158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, f_measure: 0.4775, kappa: -0.0033, kb_relative_information_score: -0.0056, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.498, predictive_accuracy: 0.4984, prior_entropy: 1, recall: 0.4984, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1371.0274, usercpu_time_millis: 2.37, usercpu_time_millis_testing: 0.429, usercpu_time_millis_training: 1.941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, f_measure: 0.4925, kappa: -0.005, kb_relative_information_score: -0.0068, 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: 1378.6064, usercpu_time_millis: 2.134, usercpu_time_millis_testing: 0.448, usercpu_time_millis_training: 1.686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.597, f_measure: 0.5684, kappa: 0.137, kb_relative_information_score: 65.3042, mean_absolute_error: 0.478, 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: 0.956, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4954, root_relative_squared_error: 0.9909, scimark_benchmark: 1372.4453, usercpu_time_millis: 50.073, usercpu_time_millis_testing: 0.977, usercpu_time_millis_training: 49.096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5805, f_measure: 0.5494, kappa: 0.099, kb_relative_information_score: 51.3607, mean_absolute_error: 0.4827, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5495, predictive_accuracy: 0.5495, prior_entropy: 1, recall: 0.5495, relative_absolute_error: 0.9654, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4971, root_relative_squared_error: 0.9942, scimark_benchmark: 1371.2045, usercpu_time_millis: 156.079, usercpu_time_millis_testing: 0.953, usercpu_time_millis_training: 155.126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5392, f_measure: 0.5178, kappa: 0.0363, kb_relative_information_score: 25.5918, mean_absolute_error: 0.4913, 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: 0.9826, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4997, root_relative_squared_error: 0.9994, scimark_benchmark: 1369.1698, usercpu_time_millis: 39.473, usercpu_time_millis_testing: 0.603, usercpu_time_millis_training: 38.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4792, kb_relative_information_score: -0.0032, 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: 1372.2403, usercpu_time_millis: 2.246, usercpu_time_millis_testing: 0.554, usercpu_time_millis_training: 1.692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5866, f_measure: 0.555, kappa: 0.1106, kb_relative_information_score: 54.6692, mean_absolute_error: 0.4816, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5554, predictive_accuracy: 0.5553, prior_entropy: 1, recall: 0.5553, relative_absolute_error: 0.9631, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4961, root_relative_squared_error: 0.9921, scimark_benchmark: 1341.494, usercpu_time_millis: 233.376, usercpu_time_millis_testing: 1.039, usercpu_time_millis_training: 232.337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5474, f_measure: 0.5234, kappa: 0.0479, kb_relative_information_score: 29.7373, mean_absolute_error: 0.4899, 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: 0.9798, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5007, root_relative_squared_error: 1.0014, scimark_benchmark: 1370.2024, usercpu_time_millis: 12.353, usercpu_time_millis_testing: 0.736, usercpu_time_millis_training: 11.617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6222, f_measure: 0.5873, kappa: 0.1749, kb_relative_information_score: 121.915, mean_absolute_error: 0.456, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5876, predictive_accuracy: 0.5875, prior_entropy: 1, recall: 0.5875, relative_absolute_error: 0.912, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4999, root_relative_squared_error: 0.9998, scimark_benchmark: 1379.5929, usercpu_time_millis: 352.711, usercpu_time_millis_testing: 1.802, usercpu_time_millis_training: 350.909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.52, f_measure: 0.524, kappa: 0.0495, kb_relative_information_score: 5.3026, mean_absolute_error: 0.4984, 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: 0.9968, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0001, scimark_benchmark: 1377.6105, usercpu_time_millis: 34.501, usercpu_time_millis_testing: 0.516, usercpu_time_millis_training: 33.985,

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