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: 0.509, f_measure: 0.4972, kappa: 0.0033, kb_relative_information_score: 10.3704, mean_absolute_error: 0.4965, 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: 0.993, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5015, root_relative_squared_error: 1.003, scimark_benchmark: 1877.2162, usercpu_time_millis: 1.352, usercpu_time_millis_testing: 0.133, usercpu_time_millis_training: 1.219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5906, f_measure: 0.5551, kappa: 0.1106, kb_relative_information_score: 60.0806, mean_absolute_error: 0.4796, 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: 0.9592, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4958, root_relative_squared_error: 0.9917, scimark_benchmark: 1078.038, usercpu_time_millis: 212.931, usercpu_time_millis_testing: 0.973, usercpu_time_millis_training: 211.958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5372, f_measure: 0.5301, kappa: 0.0611, kb_relative_information_score: 24.1975, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5306, predictive_accuracy: 0.5305, prior_entropy: 1, recall: 0.5305, relative_absolute_error: 0.9832, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5088, root_relative_squared_error: 1.0176, scimark_benchmark: 1732.7889, usercpu_time_millis: 158.398, usercpu_time_millis_testing: 0.332, usercpu_time_millis_training: 158.066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5903, f_measure: 0.5651, kappa: 0.1304, kb_relative_information_score: 58.4269, mean_absolute_error: 0.4804, 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: 0.9607, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4963, root_relative_squared_error: 0.9926, scimark_benchmark: 1750.8922, usercpu_time_millis: 93.595, usercpu_time_millis_testing: 1.187, usercpu_time_millis_training: 92.408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5552, f_measure: 0.5246, kappa: 0.0495, kb_relative_information_score: 34.292, mean_absolute_error: 0.4884, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5248, predictive_accuracy: 0.5248, prior_entropy: 1, recall: 0.5248, relative_absolute_error: 0.9768, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.499, root_relative_squared_error: 0.998, scimark_benchmark: 1072.7964, usercpu_time_millis: 50.207, usercpu_time_millis_testing: 0.7, usercpu_time_millis_training: 49.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5651, f_measure: 0.53, kappa: 0.0627, kb_relative_information_score: 36.5345, mean_absolute_error: 0.4878, 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: 0.9756, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4974, root_relative_squared_error: 0.9949, scimark_benchmark: 1751.3544, usercpu_time_millis: 34.445, usercpu_time_millis_testing: 0.131, usercpu_time_millis_training: 34.314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5275, f_measure: 0.5108, kappa: 0.0231, kb_relative_information_score: 15.9359, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5116, predictive_accuracy: 0.5116, prior_entropy: 1, recall: 0.5116, relative_absolute_error: 0.9895, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5017, root_relative_squared_error: 1.0034, scimark_benchmark: 1083.5606, usercpu_time_millis: 18.456, usercpu_time_millis_testing: 1.439, usercpu_time_millis_training: 17.017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5826, f_measure: 0.5544, kappa: 0.1089, kb_relative_information_score: 53.8107, mean_absolute_error: 0.4818, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5545, predictive_accuracy: 0.5545, prior_entropy: 1, recall: 0.5545, relative_absolute_error: 0.9635, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4967, root_relative_squared_error: 0.9933, scimark_benchmark: 1744.1084, usercpu_time_millis: 24.114, usercpu_time_millis_testing: 0.303, usercpu_time_millis_training: 23.811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4729, f_measure: 0.3843, kappa: -0.0099, kb_relative_information_score: -1.2249, mean_absolute_error: 0.5004, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4824, predictive_accuracy: 0.495, prior_entropy: 1, recall: 0.495, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.501, root_relative_squared_error: 1.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5945, f_measure: 0.579, kappa: 0.1584, kb_relative_information_score: 77.454, mean_absolute_error: 0.4731, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5794, predictive_accuracy: 0.5792, prior_entropy: 1, recall: 0.5792, relative_absolute_error: 0.9462, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5008, root_relative_squared_error: 1.0016, scimark_benchmark: 1737.7751, usercpu_time_millis: 1.338, usercpu_time_millis_testing: 0.112, usercpu_time_millis_training: 1.226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.4949, kb_relative_information_score: 0.0054, 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: 1709.6337, usercpu_time_millis: 1.528, usercpu_time_millis_testing: 0.206, usercpu_time_millis_training: 1.322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5091, f_measure: 0.5168, kappa: 0.0347, kb_relative_information_score: 3.4448, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5174, predictive_accuracy: 0.5173, prior_entropy: 1, recall: 0.5173, relative_absolute_error: 0.998, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5009, root_relative_squared_error: 1.0018, scimark_benchmark: 1746.226, usercpu_time_millis: 3.372, usercpu_time_millis_testing: 0.254, usercpu_time_millis_training: 3.118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.4941, kappa: -0.0017, kb_relative_information_score: -0.0165, 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: 1085.191, usercpu_time_millis: 0.863, usercpu_time_millis_testing: 0.127, usercpu_time_millis_training: 0.736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, 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: 1912.8216, usercpu_time_millis: 2.068, usercpu_time_millis_testing: 0.344, usercpu_time_millis_training: 1.724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5031, f_measure: 0.4858, kappa: 0.0099, kb_relative_information_score: 0.7319, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5058, predictive_accuracy: 0.505, prior_entropy: 1, recall: 0.505, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6089, f_measure: 0.5833, kappa: 0.1667, kb_relative_information_score: 96.61, mean_absolute_error: 0.466, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5834, predictive_accuracy: 0.5833, prior_entropy: 1, recall: 0.5833, relative_absolute_error: 0.932, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4994, root_relative_squared_error: 0.9988, scimark_benchmark: 1834.565, usercpu_time_millis: 176.545, usercpu_time_millis_testing: 0.636, usercpu_time_millis_training: 175.909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6109, f_measure: 0.5775, kappa: 0.1551, kb_relative_information_score: 85.9125, mean_absolute_error: 0.4705, 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: 0.9411, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.495, root_relative_squared_error: 0.9899, scimark_benchmark: 1854.568, usercpu_time_millis: 91.131, usercpu_time_millis_testing: 1.234, usercpu_time_millis_training: 89.897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5933, f_measure: 0.5693, kappa: 0.1386, kb_relative_information_score: 72.104, mean_absolute_error: 0.4754, 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: 0.9508, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4992, root_relative_squared_error: 0.9984, scimark_benchmark: 1855.105, usercpu_time_millis: 118.077, usercpu_time_millis_testing: 0.27, usercpu_time_millis_training: 117.807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6163, f_measure: 0.5895, kappa: 0.1799, kb_relative_information_score: 101.7104, mean_absolute_error: 0.4644, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5903, predictive_accuracy: 0.5899, prior_entropy: 1, recall: 0.5899, relative_absolute_error: 0.9288, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4964, root_relative_squared_error: 0.9927, scimark_benchmark: 1724.8648, usercpu_time_millis: 105.038, usercpu_time_millis_testing: 0.335, usercpu_time_millis_training: 104.703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6069, f_measure: 0.5807, kappa: 0.1617, kb_relative_information_score: 80.2404, mean_absolute_error: 0.4725, 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: 0.9449, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4945, root_relative_squared_error: 0.989, scimark_benchmark: 1722.7118, usercpu_time_millis: 88.458, usercpu_time_millis_testing: 0.534, usercpu_time_millis_training: 87.924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6084, f_measure: 0.5858, kappa: 0.1716, kb_relative_information_score: 81.3097, mean_absolute_error: 0.4723, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5859, predictive_accuracy: 0.5858, prior_entropy: 1, recall: 0.5858, relative_absolute_error: 0.9447, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4951, root_relative_squared_error: 0.9901, scimark_benchmark: 1075.4628, usercpu_time_millis: 37.005, usercpu_time_millis_testing: 1.111, usercpu_time_millis_training: 35.894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5984, f_measure: 0.5718, kappa: 0.1436, kb_relative_information_score: 74.2537, mean_absolute_error: 0.4746, 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: 0.9491, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4975, root_relative_squared_error: 0.9949, scimark_benchmark: 1707.3161, usercpu_time_millis: 93.244, usercpu_time_millis_testing: 0.921, usercpu_time_millis_training: 92.323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5639, f_measure: 0.5315, kappa: 0.0644, kb_relative_information_score: 36.5972, mean_absolute_error: 0.4878, 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: 0.9755, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.498, root_relative_squared_error: 0.9959, scimark_benchmark: 1727.9675, usercpu_time_millis: 92.046, usercpu_time_millis_testing: 0.844, usercpu_time_millis_training: 91.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.596, f_measure: 0.5649, kappa: 0.1304, kb_relative_information_score: 63.1914, mean_absolute_error: 0.4787, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5653, predictive_accuracy: 0.5652, prior_entropy: 1, recall: 0.5652, relative_absolute_error: 0.9573, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.495, root_relative_squared_error: 0.99, scimark_benchmark: 1833.6579, usercpu_time_millis: 61.835, usercpu_time_millis_testing: 0.369, usercpu_time_millis_training: 61.466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5639, f_measure: 0.5394, kappa: 0.0809, kb_relative_information_score: 34.4572, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5408, predictive_accuracy: 0.5404, prior_entropy: 1, recall: 0.5404, relative_absolute_error: 0.9771, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4974, root_relative_squared_error: 0.9947, scimark_benchmark: 1717.4916, usercpu_time_millis: 76.147, usercpu_time_millis_testing: 0.414, usercpu_time_millis_training: 75.733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5957, f_measure: 0.5783, kappa: 0.1568, kb_relative_information_score: 68.277, mean_absolute_error: 0.4768, 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: 0.9536, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4969, root_relative_squared_error: 0.9938, scimark_benchmark: 1851.6628, usercpu_time_millis: 54.695, usercpu_time_millis_testing: 0.763, usercpu_time_millis_training: 53.932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5801, f_measure: 0.561, kappa: 0.1221, kb_relative_information_score: 52.836, mean_absolute_error: 0.4824, 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: 0.9647, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4999, root_relative_squared_error: 0.9997, scimark_benchmark: 1841.6688, usercpu_time_millis: 33.134, usercpu_time_millis_testing: 1.927, usercpu_time_millis_training: 31.207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6058, f_measure: 0.5781, kappa: 0.1568, kb_relative_information_score: 78.8641, mean_absolute_error: 0.4731, 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: 0.9462, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4953, root_relative_squared_error: 0.9907, scimark_benchmark: 1730.1287, usercpu_time_millis: 70.078, usercpu_time_millis_testing: 0.299, usercpu_time_millis_training: 69.779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5375, f_measure: 0.5153, kappa: 0.0347, kb_relative_information_score: 20.094, mean_absolute_error: 0.4934, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5176, predictive_accuracy: 0.5173, prior_entropy: 1, recall: 0.5173, relative_absolute_error: 0.9868, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4997, root_relative_squared_error: 0.9994, scimark_benchmark: 1866.8947, usercpu_time_millis: 19.257, usercpu_time_millis_testing: 0.565, usercpu_time_millis_training: 18.692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.594, f_measure: 0.575, kappa: 0.1502, kb_relative_information_score: 65.5963, mean_absolute_error: 0.4778, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5751, predictive_accuracy: 0.5751, prior_entropy: 1, recall: 0.5751, relative_absolute_error: 0.9556, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4968, root_relative_squared_error: 0.9936, scimark_benchmark: 1736.4936, usercpu_time_millis: 24.869, usercpu_time_millis_testing: 0.683, usercpu_time_millis_training: 24.186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5157, f_measure: 0.4975, kappa: -0.0017, kb_relative_information_score: 14.1375, mean_absolute_error: 0.495, 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: 0.9901, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5039, root_relative_squared_error: 1.0078, scimark_benchmark: 1731.7041, usercpu_time_millis: 4.836, usercpu_time_millis_testing: 0.429, usercpu_time_millis_training: 4.407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5761, f_measure: 0.5487, kappa: 0.0974, kb_relative_information_score: 45.7043, mean_absolute_error: 0.4848, 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: 0.9697, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4976, root_relative_squared_error: 0.9953, scimark_benchmark: 1726.6494, usercpu_time_millis: 10.318, usercpu_time_millis_testing: 0.244, usercpu_time_millis_training: 10.074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4941, kappa: -0.0017, kb_relative_information_score: -0.0016, 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: 1871.1046, usercpu_time_millis: 1.82, usercpu_time_millis_testing: 0.281, usercpu_time_millis_training: 1.539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5934, f_measure: 0.5701, kappa: 0.1403, kb_relative_information_score: 64.4925, mean_absolute_error: 0.4782, 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: 0.9564, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4962, root_relative_squared_error: 0.9923, scimark_benchmark: 2152.6173, usercpu_time_millis: 26.415, usercpu_time_millis_testing: 0.281, usercpu_time_millis_training: 26.134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5717, f_measure: 0.5561, kappa: 0.1122, kb_relative_information_score: 47.4227, mean_absolute_error: 0.4841, 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: 0.9682, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5012, root_relative_squared_error: 1.0024, scimark_benchmark: 1731.3294, usercpu_time_millis: 8.207, usercpu_time_millis_testing: 0.514, usercpu_time_millis_training: 7.693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4962, f_measure: 0.4925, kappa: -0.005, kb_relative_information_score: -0.0184, 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: 1871.1046, usercpu_time_millis: 1.393, usercpu_time_millis_testing: 0.255, usercpu_time_millis_training: 1.138,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5061, f_measure: 0.5142, kappa: 0.0297, kb_relative_information_score: 2.8314, mean_absolute_error: 0.4991, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5149, predictive_accuracy: 0.5149, prior_entropy: 1, recall: 0.5149, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5008, root_relative_squared_error: 1.0016, scimark_benchmark: 1811.0513, usercpu_time_millis: 34.293, usercpu_time_millis_testing: 0.34, usercpu_time_millis_training: 33.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5386, f_measure: 0.5186, kappa: 0.038, kb_relative_information_score: 24.5066, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.519, predictive_accuracy: 0.519, prior_entropy: 1, recall: 0.519, relative_absolute_error: 0.9833, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4997, root_relative_squared_error: 0.9995, scimark_benchmark: 1746.4232, usercpu_time_millis: 11.839, usercpu_time_millis_testing: 0.172, usercpu_time_millis_training: 11.667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5886, f_measure: 0.5485, kappa: 0.0974, kb_relative_information_score: 64.1569, mean_absolute_error: 0.4781, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5488, predictive_accuracy: 0.5487, prior_entropy: 1, recall: 0.5487, relative_absolute_error: 0.9561, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4986, root_relative_squared_error: 0.9971, scimark_benchmark: 1820.5629, usercpu_time_millis: 5.333, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 5.244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, f_measure: 0.4941, kappa: -0.0017, kb_relative_information_score: -0.0084, 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: 1778.3983, usercpu_time_millis: 0.547, usercpu_time_millis_testing: 0.075, usercpu_time_millis_training: 0.472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5889, f_measure: 0.565, kappa: 0.1304, kb_relative_information_score: 70.4986, mean_absolute_error: 0.4758, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5653, predictive_accuracy: 0.5652, prior_entropy: 1, recall: 0.5652, relative_absolute_error: 0.9515, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5011, root_relative_squared_error: 1.0022, scimark_benchmark: 2156.5736, usercpu_time_millis: 2.031, usercpu_time_millis_testing: 0.051, usercpu_time_millis_training: 1.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4932, kappa: -0.0033, kb_relative_information_score: 0.0008, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4983, predictive_accuracy: 0.4984, prior_entropy: 1, recall: 0.4984, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1821.4338, usercpu_time_millis: 0.448, usercpu_time_millis_testing: 0.057, usercpu_time_millis_training: 0.391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5013, f_measure: 0.5017, kappa: 0.0033, kb_relative_information_score: 0.0065, 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: 1749.6004, usercpu_time_millis: 0.876, usercpu_time_millis_testing: 0.119, usercpu_time_millis_training: 0.757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5, kb_relative_information_score: -0.0001, 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: 1736.7712, usercpu_time_millis: 0.734, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 0.634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6214, f_measure: 0.5922, kappa: 0.1848, kb_relative_information_score: 111.9197, mean_absolute_error: 0.4603, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5926, predictive_accuracy: 0.5924, prior_entropy: 1, recall: 0.5924, relative_absolute_error: 0.9205, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4965, root_relative_squared_error: 0.9931, scimark_benchmark: 1742.1373, usercpu_time_millis: 157.255, usercpu_time_millis_testing: 0.417, usercpu_time_millis_training: 156.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6042, f_measure: 0.5766, kappa: 0.1535, kb_relative_information_score: 74.3427, mean_absolute_error: 0.4748, 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: 0.9495, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4947, root_relative_squared_error: 0.9895, scimark_benchmark: 1750.5846, usercpu_time_millis: 75.056, usercpu_time_millis_testing: 0.879, usercpu_time_millis_training: 74.177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4974, f_measure: 0.4925, kappa: -0.005, kb_relative_information_score: -0.0114, 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: 1745.7787, usercpu_time_millis: 1.993, usercpu_time_millis_testing: 0.35, usercpu_time_millis_training: 1.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5256, f_measure: 0.5092, kappa: 0.0264, kb_relative_information_score: 14.0309, mean_absolute_error: 0.4954, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5137, predictive_accuracy: 0.5132, prior_entropy: 1, recall: 0.5132, relative_absolute_error: 0.9908, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0001, scimark_benchmark: 1780.4383, usercpu_time_millis: 4.486, usercpu_time_millis_testing: 0.103, usercpu_time_millis_training: 4.383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5246, f_measure: 0.506, kappa: 0.0165, kb_relative_information_score: 11.7844, mean_absolute_error: 0.4962, 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: 0.9924, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0004, scimark_benchmark: 1758.8335, usercpu_time_millis: 13.625, usercpu_time_millis_testing: 0.651, usercpu_time_millis_training: 12.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6027, f_measure: 0.5742, kappa: 0.1485, kb_relative_information_score: 81.5377, mean_absolute_error: 0.4718, 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: 0.9436, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4974, root_relative_squared_error: 0.9948, scimark_benchmark: 1739.1634, usercpu_time_millis: 206.72, usercpu_time_millis_testing: 0.553, usercpu_time_millis_training: 206.167,
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: 0.5937, f_measure: 0.5584, kappa: 0.1172, kb_relative_information_score: 63.0509, mean_absolute_error: 0.4786, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5587, predictive_accuracy: 0.5586, prior_entropy: 1, recall: 0.5586, relative_absolute_error: 0.9573, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4955, root_relative_squared_error: 0.9911, scimark_benchmark: 1802.7862, usercpu_time_millis: 183.94, usercpu_time_millis_testing: 0.936, usercpu_time_millis_training: 183.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5942, f_measure: 0.5635, kappa: 0.1271, kb_relative_information_score: 74.0955, mean_absolute_error: 0.4747, 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: 0.9495, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4995, root_relative_squared_error: 0.999, scimark_benchmark: 1810.8086, usercpu_time_millis: 149.896, usercpu_time_millis_testing: 0.669, usercpu_time_millis_training: 149.227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5951, f_measure: 0.5668, kappa: 0.1337, kb_relative_information_score: 66.0861, mean_absolute_error: 0.4777, 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: 0.9553, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4965, root_relative_squared_error: 0.9929, scimark_benchmark: 1824.736, usercpu_time_millis: 151.541, usercpu_time_millis_testing: 0.811, usercpu_time_millis_training: 150.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5808, f_measure: 0.5519, kappa: 0.104, kb_relative_information_score: 51.5408, mean_absolute_error: 0.4826, 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: 0.9652, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4969, root_relative_squared_error: 0.9938, scimark_benchmark: 1915.4781, usercpu_time_millis: 128.503, usercpu_time_millis_testing: 0.546, usercpu_time_millis_training: 127.957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6096, f_measure: 0.5815, kappa: 0.1634, kb_relative_information_score: 101.0394, mean_absolute_error: 0.464, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5818, predictive_accuracy: 0.5817, prior_entropy: 1, recall: 0.5817, relative_absolute_error: 0.9281, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0004, scimark_benchmark: 1799.9745, usercpu_time_millis: 35.519, usercpu_time_millis_testing: 0.128, usercpu_time_millis_training: 35.391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.5, kb_relative_information_score: 0.0015, 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: 1828.9018, usercpu_time_millis: 1.735, usercpu_time_millis_testing: 0.242, usercpu_time_millis_training: 1.493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, f_measure: 0.4925, kappa: -0.005, kb_relative_information_score: -0.015, 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: 1923.2518, usercpu_time_millis: 1.678, usercpu_time_millis_testing: 0.287, usercpu_time_millis_training: 1.391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7042, f_measure: 0.5724, kappa: 0.2475, kb_relative_information_score: 158.9889, mean_absolute_error: 0.4422, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.7382, predictive_accuracy: 0.6238, prior_entropy: 1, recall: 0.6238, relative_absolute_error: 0.8844, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4664, root_relative_squared_error: 0.9328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8642, f_measure: 0.7408, kappa: 0.4851, kb_relative_information_score: 445.0313, mean_absolute_error: 0.3272, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.7494, predictive_accuracy: 0.7426, prior_entropy: 1, recall: 0.7426, relative_absolute_error: 0.6544, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3965, root_relative_squared_error: 0.7931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5076, f_measure: 0.3575, kappa: 0.0083, kb_relative_information_score: 1.9698, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5474, predictive_accuracy: 0.5041, prior_entropy: 1, recall: 0.5041, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7027, f_measure: 0.6013, kappa: 0.2574, kb_relative_information_score: 175.6548, mean_absolute_error: 0.4339, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.6776, predictive_accuracy: 0.6287, prior_entropy: 1, recall: 0.6287, relative_absolute_error: 0.8679, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4628, root_relative_squared_error: 0.9255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5305, f_measure: 0.3695, kappa: 0.0248, kb_relative_information_score: 4.6155, mean_absolute_error: 0.4985, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.6325, predictive_accuracy: 0.5124, prior_entropy: 1, recall: 0.5124, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4991, root_relative_squared_error: 0.9982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.4338, kappa: 0.0149, kb_relative_information_score: 1.3899, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5155, predictive_accuracy: 0.5074, prior_entropy: 1, recall: 0.5074, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5009, root_relative_squared_error: 1.0017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6632, f_measure: 0.5943, kappa: 0.2063, kb_relative_information_score: 86.434, mean_absolute_error: 0.4695, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.613, predictive_accuracy: 0.6031, prior_entropy: 1, recall: 0.6031, relative_absolute_error: 0.939, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4809, root_relative_squared_error: 0.9618,

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

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Download this task directly in your environment and automatically upload your results

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

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