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: 0.5255, f_measure: 0.5253, kappa: 0.0528, kb_relative_information_score: 8.4321, mean_absolute_error: 0.4974, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5266, predictive_accuracy: 0.5264, prior_entropy: 1, recall: 0.5264, relative_absolute_error: 0.9949, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4998, root_relative_squared_error: 0.9996, scimark_benchmark: 1835.3819, usercpu_time_millis: 30.965, usercpu_time_millis_testing: 0.461, usercpu_time_millis_training: 30.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5546, f_measure: 0.521, kappa: 0.0429, kb_relative_information_score: 33.9355, mean_absolute_error: 0.4884, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5215, predictive_accuracy: 0.5215, prior_entropy: 1, recall: 0.5215, relative_absolute_error: 0.9769, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4992, root_relative_squared_error: 0.9983, scimark_benchmark: 1754.6748, usercpu_time_millis: 22.951, usercpu_time_millis_testing: 0.2, usercpu_time_millis_training: 22.751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5018, f_measure: 0.5118, kappa: 0.0248, kb_relative_information_score: 2.2217, mean_absolute_error: 0.4993, 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: 0.9986, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.501, root_relative_squared_error: 1.0019, scimark_benchmark: 1869.7524, usercpu_time_millis: 23.444, usercpu_time_millis_testing: 0.253, usercpu_time_millis_training: 23.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5168, f_measure: 0.5253, kappa: 0.0528, kb_relative_information_score: 5.7439, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5266, predictive_accuracy: 0.5264, prior_entropy: 1, recall: 0.5264, relative_absolute_error: 0.9965, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0004, scimark_benchmark: 1871.2001, usercpu_time_millis: 3.83, usercpu_time_millis_testing: 0.374, usercpu_time_millis_training: 3.456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, f_measure: 0.4958, kappa: 0.0017, kb_relative_information_score: 0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5009, predictive_accuracy: 0.5008, prior_entropy: 1, recall: 0.5008, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1753.702, usercpu_time_millis: 2.071, usercpu_time_millis_testing: 0.414, usercpu_time_millis_training: 1.657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4962, f_measure: 0.4925, kappa: -0.005, kb_relative_information_score: -0.0109, 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: 1811.2931, usercpu_time_millis: 2.853, usercpu_time_millis_testing: 0.459, usercpu_time_millis_training: 2.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.613, f_measure: 0.5848, kappa: 0.17, kb_relative_information_score: 85.3678, mean_absolute_error: 0.4708, 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: 0.9416, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4939, root_relative_squared_error: 0.9878, scimark_benchmark: 1186.296, usercpu_time_millis: 517.891, usercpu_time_millis_testing: 1.821, usercpu_time_millis_training: 516.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6117, f_measure: 0.5774, kappa: 0.1551, kb_relative_information_score: 89.0932, mean_absolute_error: 0.4692, 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: 0.9385, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4956, root_relative_squared_error: 0.9911, scimark_benchmark: 1868.2531, usercpu_time_millis: 416.902, usercpu_time_millis_testing: 1.271, usercpu_time_millis_training: 415.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6028, f_measure: 0.5741, kappa: 0.1485, kb_relative_information_score: 83.6724, mean_absolute_error: 0.471, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5744, predictive_accuracy: 0.5743, prior_entropy: 1, recall: 0.5743, relative_absolute_error: 0.9421, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4984, root_relative_squared_error: 0.9968, scimark_benchmark: 1895.0051, usercpu_time_millis: 320.841, usercpu_time_millis_testing: 0.771, usercpu_time_millis_training: 320.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5604, f_measure: 0.53, kappa: 0.0627, kb_relative_information_score: 32.4404, mean_absolute_error: 0.4892, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5317, predictive_accuracy: 0.5314, prior_entropy: 1, recall: 0.5314, relative_absolute_error: 0.9785, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4977, root_relative_squared_error: 0.9953, scimark_benchmark: 1185.9799, usercpu_time_millis: 294.034, usercpu_time_millis_testing: 0.93, usercpu_time_millis_training: 293.104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.61, f_measure: 0.5757, kappa: 0.1518, kb_relative_information_score: 91.8037, mean_absolute_error: 0.468, 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: 0.936, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4968, root_relative_squared_error: 0.9935, scimark_benchmark: 1869.6309, usercpu_time_millis: 268.959, usercpu_time_millis_testing: 0.962, usercpu_time_millis_training: 267.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6051, f_measure: 0.5692, kappa: 0.1386, kb_relative_information_score: 86.897, mean_absolute_error: 0.4698, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5693, predictive_accuracy: 0.5693, prior_entropy: 1, recall: 0.5693, relative_absolute_error: 0.9396, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4982, root_relative_squared_error: 0.9964, scimark_benchmark: 1866.2865, usercpu_time_millis: 263.751, usercpu_time_millis_testing: 0.753, usercpu_time_millis_training: 262.998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6073, f_measure: 0.5866, kappa: 0.1733, kb_relative_information_score: 93.1124, mean_absolute_error: 0.4674, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5867, predictive_accuracy: 0.5866, prior_entropy: 1, recall: 0.5866, relative_absolute_error: 0.9348, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4986, root_relative_squared_error: 0.9972, scimark_benchmark: 1136.6599, usercpu_time_millis: 215.07, usercpu_time_millis_testing: 1.488, usercpu_time_millis_training: 213.582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.57, f_measure: 0.5395, kappa: 0.0792, kb_relative_information_score: 42.8485, mean_absolute_error: 0.4856, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5396, predictive_accuracy: 0.5396, prior_entropy: 1, recall: 0.5396, relative_absolute_error: 0.9712, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4975, root_relative_squared_error: 0.9951, scimark_benchmark: 1765.7031, usercpu_time_millis: 159.77, usercpu_time_millis_testing: 0.528, usercpu_time_millis_training: 159.242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5635, f_measure: 0.5294, kappa: 0.0594, kb_relative_information_score: 36.7222, mean_absolute_error: 0.4877, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5298, predictive_accuracy: 0.5297, prior_entropy: 1, recall: 0.5297, relative_absolute_error: 0.9754, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4978, root_relative_squared_error: 0.9955, scimark_benchmark: 1799.1012, usercpu_time_millis: 142.216, usercpu_time_millis_testing: 0.685, usercpu_time_millis_training: 141.531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6023, f_measure: 0.5643, kappa: 0.1287, kb_relative_information_score: 81.7463, mean_absolute_error: 0.4717, 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: 0.9434, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4979, root_relative_squared_error: 0.9959, scimark_benchmark: 1895.0051, usercpu_time_millis: 102.288, usercpu_time_millis_testing: 0.547, usercpu_time_millis_training: 101.741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5898, f_measure: 0.5747, kappa: 0.1502, kb_relative_information_score: 51.4765, mean_absolute_error: 0.483, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5754, predictive_accuracy: 0.5751, prior_entropy: 1, recall: 0.5751, relative_absolute_error: 0.966, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4962, root_relative_squared_error: 0.9925, scimark_benchmark: 1870.2139, usercpu_time_millis: 101.26, usercpu_time_millis_testing: 0.2, usercpu_time_millis_training: 101.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5845, f_measure: 0.5601, kappa: 0.1205, kb_relative_information_score: 56.7932, mean_absolute_error: 0.4808, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5603, predictive_accuracy: 0.5602, prior_entropy: 1, recall: 0.5602, relative_absolute_error: 0.9616, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.498, root_relative_squared_error: 0.996, scimark_benchmark: 1861.3749, usercpu_time_millis: 90.106, usercpu_time_millis_testing: 0.768, usercpu_time_millis_training: 89.338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5761, f_measure: 0.5425, kappa: 0.0858, kb_relative_information_score: 43.336, mean_absolute_error: 0.4856, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5431, predictive_accuracy: 0.5429, prior_entropy: 1, recall: 0.5429, relative_absolute_error: 0.9712, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4961, root_relative_squared_error: 0.9923, scimark_benchmark: 1873.4078, usercpu_time_millis: 87.424, usercpu_time_millis_testing: 0.458, usercpu_time_millis_training: 86.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5847, f_measure: 0.5561, kappa: 0.1122, kb_relative_information_score: 57.0326, mean_absolute_error: 0.4807, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5561, predictive_accuracy: 0.5561, prior_entropy: 1, recall: 0.5561, relative_absolute_error: 0.9614, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4975, root_relative_squared_error: 0.995, scimark_benchmark: 1870.5228, usercpu_time_millis: 83.101, usercpu_time_millis_testing: 0.529, usercpu_time_millis_training: 82.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5465, f_measure: 0.527, kappa: 0.0561, kb_relative_information_score: 14.4888, mean_absolute_error: 0.4956, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5283, predictive_accuracy: 0.5281, prior_entropy: 1, recall: 0.5281, relative_absolute_error: 0.9911, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4988, root_relative_squared_error: 0.9975, scimark_benchmark: 1891.9859, usercpu_time_millis: 64.131, usercpu_time_millis_testing: 0.498, usercpu_time_millis_training: 63.633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5706, f_measure: 0.5345, kappa: 0.0693, kb_relative_information_score: 43.6092, mean_absolute_error: 0.4853, 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: 0.9705, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4983, root_relative_squared_error: 0.9967, scimark_benchmark: 1873.5991, usercpu_time_millis: 67.199, usercpu_time_millis_testing: 0.719, usercpu_time_millis_training: 66.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5801, f_measure: 0.5461, kappa: 0.0924, kb_relative_information_score: 48.8665, mean_absolute_error: 0.4836, 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: 0.9672, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4972, root_relative_squared_error: 0.9944, scimark_benchmark: 1894.547, usercpu_time_millis: 49.62, usercpu_time_millis_testing: 0.834, usercpu_time_millis_training: 48.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5391, f_measure: 0.519, kappa: 0.0429, kb_relative_information_score: 15.4904, mean_absolute_error: 0.4951, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5219, predictive_accuracy: 0.5215, prior_entropy: 1, recall: 0.5215, relative_absolute_error: 0.9902, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4986, root_relative_squared_error: 0.9972, scimark_benchmark: 1197.2796, usercpu_time_millis: 46.236, usercpu_time_millis_testing: 0.309, usercpu_time_millis_training: 45.927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5769, f_measure: 0.5487, kappa: 0.0974, kb_relative_information_score: 48.1187, mean_absolute_error: 0.4838, 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: 0.9676, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4969, root_relative_squared_error: 0.9937, scimark_benchmark: 1868.6447, usercpu_time_millis: 35.353, usercpu_time_millis_testing: 0.193, usercpu_time_millis_training: 35.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5279, f_measure: 0.5211, kappa: 0.0462, kb_relative_information_score: 10.6927, mean_absolute_error: 0.4967, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5235, predictive_accuracy: 0.5231, prior_entropy: 1, recall: 0.5231, relative_absolute_error: 0.9934, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4992, root_relative_squared_error: 0.9985, scimark_benchmark: 1857.269, usercpu_time_millis: 51.3, usercpu_time_millis_testing: 0.27, usercpu_time_millis_training: 51.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5643, f_measure: 0.5362, kappa: 0.0726, kb_relative_information_score: 39.01, mean_absolute_error: 0.4868, 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: 0.9737, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4987, root_relative_squared_error: 0.9973, scimark_benchmark: 1788.9255, usercpu_time_millis: 32.939, usercpu_time_millis_testing: 0.382, usercpu_time_millis_training: 32.557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5233, f_measure: 0.523, kappa: 0.0479, kb_relative_information_score: 7.8441, mean_absolute_error: 0.4976, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5241, predictive_accuracy: 0.5239, prior_entropy: 1, recall: 0.5239, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4997, root_relative_squared_error: 0.9995, scimark_benchmark: 1769.0759, usercpu_time_millis: 13.616, usercpu_time_millis_testing: 0.397, usercpu_time_millis_training: 13.219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5241, f_measure: 0.5172, kappa: 0.038, kb_relative_information_score: 9.3307, mean_absolute_error: 0.4971, 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: 0.9942, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4995, root_relative_squared_error: 0.9991, scimark_benchmark: 1870.9768, usercpu_time_millis: 4.148, usercpu_time_millis_testing: 0.108, usercpu_time_millis_training: 4.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4965, f_measure: 0.4925, kappa: -0.005, kb_relative_information_score: -0.0148, 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: 1889.4848, usercpu_time_millis: 1.92, usercpu_time_millis_testing: 0.327, usercpu_time_millis_training: 1.593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5206, f_measure: 0.5068, kappa: 0.0198, kb_relative_information_score: 9.7977, mean_absolute_error: 0.4969, 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: 0.9937, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0002, scimark_benchmark: 1869.6309, usercpu_time_millis: 4.003, usercpu_time_millis_testing: 0.092, usercpu_time_millis_training: 3.911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.5, kb_relative_information_score: -0.0036, 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: 1892.7664, usercpu_time_millis: 2.099, usercpu_time_millis_testing: 0.313, usercpu_time_millis_training: 1.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5766, f_measure: 0.5725, kappa: 0.1452, kb_relative_information_score: 76.1983, mean_absolute_error: 0.4733, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5727, predictive_accuracy: 0.5726, prior_entropy: 1, recall: 0.5726, relative_absolute_error: 0.9467, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5181, root_relative_squared_error: 1.0361, scimark_benchmark: 1864.9656, usercpu_time_millis: 2.37, usercpu_time_millis_testing: 0.168, usercpu_time_millis_training: 2.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5617, f_measure: 0.5461, kappa: 0.0924, kb_relative_information_score: 43.3362, mean_absolute_error: 0.4852, 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: 0.9704, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5028, root_relative_squared_error: 1.0057, scimark_benchmark: 1802.615, usercpu_time_millis: 6.213, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 6.153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, f_measure: 0.4925, kappa: -0.005, kb_relative_information_score: -0.0204, 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: 1858.1823, usercpu_time_millis: 1.546, usercpu_time_millis_testing: 0.269, usercpu_time_millis_training: 1.277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5062, f_measure: 0.5024, kappa: 0.0083, kb_relative_information_score: 8.8, mean_absolute_error: 0.4969, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5042, predictive_accuracy: 0.5041, prior_entropy: 1, recall: 0.5041, relative_absolute_error: 0.9939, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5031, root_relative_squared_error: 1.0061, scimark_benchmark: 1802.7424, usercpu_time_millis: 0.856, usercpu_time_millis_testing: 0.083, usercpu_time_millis_training: 0.773,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5556, f_measure: 0.5309, kappa: 0.0644, kb_relative_information_score: 17.9374, mean_absolute_error: 0.4945, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5325, predictive_accuracy: 0.5322, prior_entropy: 1, recall: 0.5322, relative_absolute_error: 0.9889, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4981, root_relative_squared_error: 0.9961, scimark_benchmark: 1844.7028, usercpu_time_millis: 132.304, usercpu_time_millis_testing: 0.566, usercpu_time_millis_training: 131.738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5877, f_measure: 0.5635, kappa: 0.1271, kb_relative_information_score: 59.7697, mean_absolute_error: 0.4798, 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: 0.9595, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4974, root_relative_squared_error: 0.9947, scimark_benchmark: 1830.8384, usercpu_time_millis: 125.793, usercpu_time_millis_testing: 0.555, usercpu_time_millis_training: 125.238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6162, f_measure: 0.588, kappa: 0.1766, kb_relative_information_score: 102.8559, mean_absolute_error: 0.4637, 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: 0.9275, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4971, root_relative_squared_error: 0.9943, scimark_benchmark: 1842.8599, usercpu_time_millis: 106.938, usercpu_time_millis_testing: 0.544, usercpu_time_millis_training: 106.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5969, f_measure: 0.5701, kappa: 0.1403, kb_relative_information_score: 73.8451, mean_absolute_error: 0.4747, 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: 0.9493, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4979, root_relative_squared_error: 0.9958, scimark_benchmark: 1830.4699, usercpu_time_millis: 110.013, usercpu_time_millis_testing: 0.642, usercpu_time_millis_training: 109.371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5707, f_measure: 0.5318, kappa: 0.0644, kb_relative_information_score: 43.3298, mean_absolute_error: 0.4853, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5323, predictive_accuracy: 0.5322, prior_entropy: 1, recall: 0.5322, relative_absolute_error: 0.9706, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4973, root_relative_squared_error: 0.9946, scimark_benchmark: 1787.736, usercpu_time_millis: 103.629, usercpu_time_millis_testing: 0.947, usercpu_time_millis_training: 102.682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5535, f_measure: 0.531, kappa: 0.066, kb_relative_information_score: 26.7495, mean_absolute_error: 0.4912, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5336, predictive_accuracy: 0.533, prior_entropy: 1, recall: 0.533, relative_absolute_error: 0.9825, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4975, root_relative_squared_error: 0.9949, scimark_benchmark: 1852.8044, usercpu_time_millis: 97.485, usercpu_time_millis_testing: 0.582, usercpu_time_millis_training: 96.903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.605, f_measure: 0.5792, kappa: 0.1584, kb_relative_information_score: 89.3523, mean_absolute_error: 0.4688, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5792, predictive_accuracy: 0.5792, prior_entropy: 1, recall: 0.5792, relative_absolute_error: 0.9376, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.499, root_relative_squared_error: 0.9979, scimark_benchmark: 1865.8326, usercpu_time_millis: 72.478, usercpu_time_millis_testing: 0.299, usercpu_time_millis_training: 72.179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5868, f_measure: 0.5444, kappa: 0.0891, kb_relative_information_score: 56.1398, mean_absolute_error: 0.4811, 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: 0.9621, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4967, root_relative_squared_error: 0.9934, scimark_benchmark: 1799.7001, usercpu_time_millis: 75.198, usercpu_time_millis_testing: 0.247, usercpu_time_millis_training: 74.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.606, f_measure: 0.5774, kappa: 0.1551, kb_relative_information_score: 76.9354, mean_absolute_error: 0.4738, 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: 0.9475, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4946, root_relative_squared_error: 0.9893, scimark_benchmark: 1862.2771, usercpu_time_millis: 71.027, usercpu_time_millis_testing: 1.145, usercpu_time_millis_training: 69.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5737, f_measure: 0.5429, kappa: 0.0858, kb_relative_information_score: 47.3837, mean_absolute_error: 0.4839, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5429, predictive_accuracy: 0.5429, prior_entropy: 1, recall: 0.5429, relative_absolute_error: 0.9679, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4979, root_relative_squared_error: 0.9958, scimark_benchmark: 1858.6703, usercpu_time_millis: 67.509, usercpu_time_millis_testing: 0.484, usercpu_time_millis_training: 67.025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5897, f_measure: 0.5668, kappa: 0.1337, kb_relative_information_score: 63.9632, mean_absolute_error: 0.4782, 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: 0.9565, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.498, root_relative_squared_error: 0.9959, scimark_benchmark: 1863.8223, usercpu_time_millis: 41.285, usercpu_time_millis_testing: 0.667, usercpu_time_millis_training: 40.618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5946, f_measure: 0.5643, kappa: 0.1287, kb_relative_information_score: 62.6986, mean_absolute_error: 0.4788, 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: 0.9576, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4959, root_relative_squared_error: 0.9918, scimark_benchmark: 1845.9824, usercpu_time_millis: 20.481, usercpu_time_millis_testing: 0.366, usercpu_time_millis_training: 20.115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, f_measure: 0.4949, kb_relative_information_score: -0.0183, 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: 1863.5941, usercpu_time_millis: 0.682, usercpu_time_millis_testing: 0.087, usercpu_time_millis_training: 0.595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6146, f_measure: 0.5856, kappa: 0.1716, kb_relative_information_score: 125.13, mean_absolute_error: 0.4538, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.586, predictive_accuracy: 0.5858, prior_entropy: 1, recall: 0.5858, relative_absolute_error: 0.9076, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5076, root_relative_squared_error: 1.0151, scimark_benchmark: 1858.581, usercpu_time_millis: 657.664, usercpu_time_millis_testing: 1.739, usercpu_time_millis_training: 655.925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5922, f_measure: 0.5676, kappa: 0.1353, kb_relative_information_score: 61.3548, mean_absolute_error: 0.4793, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5677, predictive_accuracy: 0.5677, prior_entropy: 1, recall: 0.5677, relative_absolute_error: 0.9587, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.496, root_relative_squared_error: 0.992, scimark_benchmark: 1871.4349, usercpu_time_millis: 189.084, usercpu_time_millis_testing: 0.955, usercpu_time_millis_training: 188.129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5791, f_measure: 0.5519, kappa: 0.104, kb_relative_information_score: 50.7838, mean_absolute_error: 0.4829, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.552, predictive_accuracy: 0.552, prior_entropy: 1, recall: 0.552, relative_absolute_error: 0.9658, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4974, root_relative_squared_error: 0.9949, scimark_benchmark: 1859.6227, usercpu_time_millis: 160.014, usercpu_time_millis_testing: 1, usercpu_time_millis_training: 159.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5964, f_measure: 0.5767, kappa: 0.1535, kb_relative_information_score: 71.8446, mean_absolute_error: 0.4754, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5767, predictive_accuracy: 0.5767, prior_entropy: 1, recall: 0.5767, relative_absolute_error: 0.9509, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4976, root_relative_squared_error: 0.9951, scimark_benchmark: 1848.0952, usercpu_time_millis: 148.32, usercpu_time_millis_testing: 0.974, usercpu_time_millis_training: 147.346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5864, f_measure: 0.5634, kappa: 0.1271, kb_relative_information_score: 56.4868, mean_absolute_error: 0.481, 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: 0.962, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4973, root_relative_squared_error: 0.9947, scimark_benchmark: 1837.8738, usercpu_time_millis: 109.388, usercpu_time_millis_testing: 1.472, usercpu_time_millis_training: 107.916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5882, f_measure: 0.5594, kappa: 0.1188, kb_relative_information_score: 55.8532, mean_absolute_error: 0.4814, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5594, predictive_accuracy: 0.5594, prior_entropy: 1, recall: 0.5594, relative_absolute_error: 0.9627, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4959, root_relative_squared_error: 0.9918, scimark_benchmark: 1865.3794, usercpu_time_millis: 64.526, usercpu_time_millis_testing: 0.472, usercpu_time_millis_training: 64.054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5263, f_measure: 0.5043, kappa: 0.0149, kb_relative_information_score: 14.3131, mean_absolute_error: 0.4953, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5076, predictive_accuracy: 0.5074, prior_entropy: 1, recall: 0.5074, relative_absolute_error: 0.9907, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4992, root_relative_squared_error: 0.9985, scimark_benchmark: 1854.0903, usercpu_time_millis: 30.426, usercpu_time_millis_testing: 0.244, usercpu_time_millis_training: 30.182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6059, f_measure: 0.5766, kappa: 0.1535, kb_relative_information_score: 77.0476, mean_absolute_error: 0.4738, 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: 0.9477, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4948, root_relative_squared_error: 0.9896, scimark_benchmark: 1832.8385, usercpu_time_millis: 25.519, usercpu_time_millis_testing: 0.4, usercpu_time_millis_training: 25.119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5979, f_measure: 0.5767, kappa: 0.1535, kb_relative_information_score: 71.4613, mean_absolute_error: 0.4757, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5767, predictive_accuracy: 0.5767, prior_entropy: 1, recall: 0.5767, relative_absolute_error: 0.9515, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4973, root_relative_squared_error: 0.9946, scimark_benchmark: 1833.1675, usercpu_time_millis: 15.771, usercpu_time_millis_testing: 0.648, usercpu_time_millis_training: 15.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6035, f_measure: 0.5856, kappa: 0.1716, kb_relative_information_score: 96.9539, mean_absolute_error: 0.4656, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.586, predictive_accuracy: 0.5858, prior_entropy: 1, recall: 0.5858, relative_absolute_error: 0.9313, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5035, root_relative_squared_error: 1.007, scimark_benchmark: 1756.7229, usercpu_time_millis: 6.889, usercpu_time_millis_testing: 0.084, usercpu_time_millis_training: 6.805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4974, f_measure: 0.4975, kappa: -0.005, kb_relative_information_score: -0.0128, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4975, predictive_accuracy: 0.4975, prior_entropy: 1, recall: 0.4975, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1856.5192, usercpu_time_millis: 2.231, usercpu_time_millis_testing: 0.389, usercpu_time_millis_training: 1.842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5366, f_measure: 0.5276, kappa: 0.0561, kb_relative_information_score: 22.3035, mean_absolute_error: 0.4925, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5282, predictive_accuracy: 0.5281, prior_entropy: 1, recall: 0.5281, relative_absolute_error: 0.985, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5021, root_relative_squared_error: 1.0042, scimark_benchmark: 1853.321, usercpu_time_millis: 1.042, usercpu_time_millis_testing: 0.054, usercpu_time_millis_training: 0.988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.62, f_measure: 0.5905, kappa: 0.1815, kb_relative_information_score: 111.4881, mean_absolute_error: 0.4604, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.591, predictive_accuracy: 0.5908, prior_entropy: 1, recall: 0.5908, relative_absolute_error: 0.9208, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4974, root_relative_squared_error: 0.9949, scimark_benchmark: 1868.7112, usercpu_time_millis: 482.546, usercpu_time_millis_testing: 1.324, usercpu_time_millis_training: 481.222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.616, f_measure: 0.5881, kappa: 0.1766, kb_relative_information_score: 115.1664, mean_absolute_error: 0.4584, 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: 0.9168, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5013, root_relative_squared_error: 1.0026, scimark_benchmark: 1793.0388, usercpu_time_millis: 344.175, usercpu_time_millis_testing: 1.13, usercpu_time_millis_training: 343.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6, f_measure: 0.5726, kappa: 0.1452, kb_relative_information_score: 76.3724, mean_absolute_error: 0.4738, 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: 0.9476, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4973, root_relative_squared_error: 0.9946, scimark_benchmark: 1751.4872, usercpu_time_millis: 276.231, usercpu_time_millis_testing: 0.824, usercpu_time_millis_training: 275.407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6097, f_measure: 0.5774, kappa: 0.1551, kb_relative_information_score: 93.554, mean_absolute_error: 0.4673, 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: 0.9345, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4974, root_relative_squared_error: 0.9948, scimark_benchmark: 1769.8795, usercpu_time_millis: 391.376, usercpu_time_millis_testing: 1.416, usercpu_time_millis_training: 389.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5947, f_measure: 0.571, kappa: 0.1419, kb_relative_information_score: 69.3803, mean_absolute_error: 0.4763, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.571, predictive_accuracy: 0.571, prior_entropy: 1, recall: 0.571, relative_absolute_error: 0.9526, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4977, root_relative_squared_error: 0.9953, scimark_benchmark: 1755.4061, usercpu_time_millis: 183.742, usercpu_time_millis_testing: 0.859, usercpu_time_millis_training: 182.883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.614, f_measure: 0.5823, kappa: 0.165, kb_relative_information_score: 115.5688, mean_absolute_error: 0.4581, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5827, predictive_accuracy: 0.5825, prior_entropy: 1, recall: 0.5825, relative_absolute_error: 0.9161, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5031, root_relative_squared_error: 1.0062, scimark_benchmark: 1762.0907, usercpu_time_millis: 210.662, usercpu_time_millis_testing: 0.556, usercpu_time_millis_training: 210.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5263, f_measure: 0.5226, kappa: 0.0479, kb_relative_information_score: 8.427, mean_absolute_error: 0.4974, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5242, predictive_accuracy: 0.5239, prior_entropy: 1, recall: 0.5239, relative_absolute_error: 0.9949, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4995, root_relative_squared_error: 0.9991, scimark_benchmark: 1768.8741, usercpu_time_millis: 56.222, usercpu_time_millis_testing: 0.418, usercpu_time_millis_training: 55.804,

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

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs