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: 0.4962, f_measure: 0.4915, kappa: -0.0066, kb_relative_information_score: -0.0267, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4966, predictive_accuracy: 0.4967, prior_entropy: 1, recall: 0.4967, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1748.66, usercpu_time_millis: 1.467, usercpu_time_millis_testing: 0.238, usercpu_time_millis_training: 1.229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.4958, kappa: 0.0017, kb_relative_information_score: -0.0046, 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: 1750.8922, usercpu_time_millis: 0.908, usercpu_time_millis_testing: 0.126, usercpu_time_millis_training: 0.782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.4782, kappa: -0.0017, kb_relative_information_score: -0.0307, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.499, 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: 1.0001, scimark_benchmark: 784.7532, usercpu_time_millis: 0.56, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 0.479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.5, kb_relative_information_score: -0.0027, 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: 787.8078, usercpu_time_millis: 4.007, usercpu_time_millis_testing: 0.544, usercpu_time_millis_training: 3.463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4977, f_measure: 0.4941, kappa: -0.0017, kb_relative_information_score: -0.0098, 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: 784.7532, usercpu_time_millis: 2.755, usercpu_time_millis_testing: 0.339, usercpu_time_millis_training: 2.416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5545, f_measure: 0.536, kappa: 0.0726, kb_relative_information_score: 33.5455, mean_absolute_error: 0.4887, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5364, predictive_accuracy: 0.5363, prior_entropy: 1, recall: 0.5363, relative_absolute_error: 0.9774, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4993, root_relative_squared_error: 0.9985, scimark_benchmark: 783.7467, usercpu_time_millis: 9.484, usercpu_time_millis_testing: 0.206, usercpu_time_millis_training: 9.278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5465, f_measure: 0.533, kappa: 0.066, kb_relative_information_score: 30.3107, mean_absolute_error: 0.4896, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.533, predictive_accuracy: 0.533, prior_entropy: 1, recall: 0.533, relative_absolute_error: 0.9792, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4996, root_relative_squared_error: 0.9992, scimark_benchmark: 1825.6744, usercpu_time_millis: 36.97, usercpu_time_millis_testing: 1.179, usercpu_time_millis_training: 35.791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5646, f_measure: 0.537, kappa: 0.0759, kb_relative_information_score: 33.8569, mean_absolute_error: 0.4888, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5383, predictive_accuracy: 0.538, prior_entropy: 1, recall: 0.538, relative_absolute_error: 0.9777, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4976, root_relative_squared_error: 0.9951, scimark_benchmark: 785.2573, usercpu_time_millis: 50.723, usercpu_time_millis_testing: 0.267, usercpu_time_millis_training: 50.456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6178, f_measure: 0.583, kappa: 0.1667, kb_relative_information_score: 93.3475, mean_absolute_error: 0.4678, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5836, predictive_accuracy: 0.5833, prior_entropy: 1, recall: 0.5833, relative_absolute_error: 0.9357, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4941, root_relative_squared_error: 0.9882, scimark_benchmark: 1827.4607, usercpu_time_millis: 65.708, usercpu_time_millis_testing: 0.782, usercpu_time_millis_training: 64.926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5698, f_measure: 0.5386, kappa: 0.0809, kb_relative_information_score: 35.631, mean_absolute_error: 0.4883, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5411, predictive_accuracy: 0.5404, prior_entropy: 1, recall: 0.5404, relative_absolute_error: 0.9766, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4955, root_relative_squared_error: 0.991, scimark_benchmark: 1763.3838, usercpu_time_millis: 71.803, usercpu_time_millis_testing: 1.02, usercpu_time_millis_training: 70.783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5481, f_measure: 0.525, kappa: 0.0528, kb_relative_information_score: 18.2697, mean_absolute_error: 0.4943, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5267, predictive_accuracy: 0.5264, prior_entropy: 1, recall: 0.5264, relative_absolute_error: 0.9885, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4982, root_relative_squared_error: 0.9964, scimark_benchmark: 1815.5706, usercpu_time_millis: 86.495, usercpu_time_millis_testing: 1.101, usercpu_time_millis_training: 85.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6241, f_measure: 0.5978, kappa: 0.1964, kb_relative_information_score: 107.3064, mean_absolute_error: 0.4625, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5985, predictive_accuracy: 0.5982, prior_entropy: 1, recall: 0.5982, relative_absolute_error: 0.925, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4937, root_relative_squared_error: 0.9873, scimark_benchmark: 1736.2365, usercpu_time_millis: 143.203, usercpu_time_millis_testing: 1.014, usercpu_time_millis_training: 142.189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.583, f_measure: 0.5485, kappa: 0.0974, kb_relative_information_score: 48.803, mean_absolute_error: 0.4838, 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: 0.9675, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4958, root_relative_squared_error: 0.9917, scimark_benchmark: 1957.7284, usercpu_time_millis: 171.847, usercpu_time_millis_testing: 1.399, usercpu_time_millis_training: 170.448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5656, f_measure: 0.5416, kappa: 0.0858, kb_relative_information_score: 23.3679, mean_absolute_error: 0.4927, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5434, predictive_accuracy: 0.5429, prior_entropy: 1, recall: 0.5429, relative_absolute_error: 0.9854, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4967, root_relative_squared_error: 0.9935, scimark_benchmark: 784.7532, usercpu_time_millis: 280.775, usercpu_time_millis_testing: 1.177, usercpu_time_millis_training: 279.598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.63, f_measure: 0.5956, kappa: 0.1914, kb_relative_information_score: 85.7959, mean_absolute_error: 0.4711, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5958, predictive_accuracy: 0.5957, prior_entropy: 1, recall: 0.5957, relative_absolute_error: 0.9423, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4875, root_relative_squared_error: 0.9751, scimark_benchmark: 784.5859, usercpu_time_millis: 315.421, usercpu_time_millis_testing: 1.699, usercpu_time_millis_training: 313.722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7563, f_measure: 0.6615, kappa: 0.3597, kb_relative_information_score: 315.3898, mean_absolute_error: 0.3764, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.7296, predictive_accuracy: 0.6799, prior_entropy: 1, recall: 0.6799, relative_absolute_error: 0.7527, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4312, root_relative_squared_error: 0.8625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6195, f_measure: 0.5882, kappa: 0.1766, kb_relative_information_score: 110.2313, mean_absolute_error: 0.4609, 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: 0.9218, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4973, root_relative_squared_error: 0.9945, scimark_benchmark: 1271.8284, usercpu_time_millis: 821.643, usercpu_time_millis_testing: 8.646, usercpu_time_millis_training: 812.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5985, f_measure: 0.5775, kappa: 0.1551, kb_relative_information_score: 67.5107, mean_absolute_error: 0.4772, 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: 0.9544, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4958, root_relative_squared_error: 0.9915, scimark_benchmark: 1287.7297, usercpu_time_millis: 255.041, usercpu_time_millis_testing: 5.095, usercpu_time_millis_training: 249.946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5711, f_measure: 0.5351, kappa: 0.071, kb_relative_information_score: 43.243, mean_absolute_error: 0.4855, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5356, predictive_accuracy: 0.5355, prior_entropy: 1, recall: 0.5355, relative_absolute_error: 0.9711, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4983, root_relative_squared_error: 0.9966, scimark_benchmark: 1279.5148, usercpu_time_millis: 308.182, usercpu_time_millis_testing: 3.609, usercpu_time_millis_training: 304.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6148, f_measure: 0.5857, kappa: 0.1716, kb_relative_information_score: 110.9521, mean_absolute_error: 0.4602, 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: 0.9205, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0005, scimark_benchmark: 1244.6853, usercpu_time_millis: 889.08, usercpu_time_millis_testing: 9.358, usercpu_time_millis_training: 879.722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5829, f_measure: 0.556, kappa: 0.1122, kb_relative_information_score: 51.6569, mean_absolute_error: 0.4827, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5562, predictive_accuracy: 0.5561, prior_entropy: 1, recall: 0.5561, relative_absolute_error: 0.9654, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4966, root_relative_squared_error: 0.9932, scimark_benchmark: 1245.6153, usercpu_time_millis: 319.393, usercpu_time_millis_testing: 4.499, usercpu_time_millis_training: 314.894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5953, f_measure: 0.5701, kappa: 0.1403, kb_relative_information_score: 70.9337, mean_absolute_error: 0.4757, 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: 0.9515, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4979, root_relative_squared_error: 0.9959, scimark_benchmark: 1244.3314, usercpu_time_millis: 347.692, usercpu_time_millis_testing: 4.689, usercpu_time_millis_training: 343.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5177, f_measure: 0.4939, kappa: -0.0066, kb_relative_information_score: 11.8033, mean_absolute_error: 0.4961, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4966, predictive_accuracy: 0.4967, prior_entropy: 1, recall: 0.4967, relative_absolute_error: 0.9922, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4998, root_relative_squared_error: 0.9995, scimark_benchmark: 1241.3477, usercpu_time_millis: 88.007, usercpu_time_millis_testing: 2.686, usercpu_time_millis_training: 85.321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.52, f_measure: 0.5297, kappa: 0.0594, kb_relative_information_score: 4.9255, mean_absolute_error: 0.4985, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5297, predictive_accuracy: 0.5297, prior_entropy: 1, recall: 0.5297, relative_absolute_error: 0.9971, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0004, scimark_benchmark: 1277.3147, usercpu_time_millis: 14.878, usercpu_time_millis_testing: 1.067, usercpu_time_millis_training: 13.811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5839, f_measure: 0.5543, kappa: 0.1089, kb_relative_information_score: 51.4879, mean_absolute_error: 0.4829, 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: 0.9657, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4961, root_relative_squared_error: 0.9923, scimark_benchmark: 1266.7727, usercpu_time_millis: 156.538, usercpu_time_millis_testing: 2.451, usercpu_time_millis_training: 154.087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.579, f_measure: 0.566, kappa: 0.132, kb_relative_information_score: 50.159, mean_absolute_error: 0.4832, 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: 0.9665, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4986, root_relative_squared_error: 0.9971, scimark_benchmark: 1264.0243, usercpu_time_millis: 173.279, usercpu_time_millis_testing: 7.133, usercpu_time_millis_training: 166.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5169, f_measure: 0.5291, kappa: 0.0594, kb_relative_information_score: 4.6515, mean_absolute_error: 0.4986, 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: 0.9972, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0005, scimark_benchmark: 1281.7357, usercpu_time_millis: 18.511, usercpu_time_millis_testing: 1.304, usercpu_time_millis_training: 17.207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5933, f_measure: 0.5701, kappa: 0.1403, kb_relative_information_score: 74.5074, mean_absolute_error: 0.4743, 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: 0.9486, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.001, scimark_benchmark: 1252.6114, usercpu_time_millis: 92.622, usercpu_time_millis_testing: 3.045, usercpu_time_millis_training: 89.577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5153, f_measure: 0.4988, kappa: 0.0033, kb_relative_information_score: 11.6955, mean_absolute_error: 0.4961, 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: 0.9922, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0009, scimark_benchmark: 1277.394, usercpu_time_millis: 27.394, usercpu_time_millis_testing: 1.214, usercpu_time_millis_training: 26.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5986, f_measure: 0.5751, kappa: 0.1502, kb_relative_information_score: 68.509, mean_absolute_error: 0.4769, 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: 0.9538, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4957, root_relative_squared_error: 0.9913, scimark_benchmark: 1279.6034, usercpu_time_millis: 199.127, usercpu_time_millis_testing: 2.715, usercpu_time_millis_training: 196.412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.592, f_measure: 0.5726, kappa: 0.1452, kb_relative_information_score: 67.764, mean_absolute_error: 0.4769, 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: 0.9538, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4987, root_relative_squared_error: 0.9975, scimark_benchmark: 1274.7529, usercpu_time_millis: 385.816, usercpu_time_millis_testing: 6.074, usercpu_time_millis_training: 379.742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6037, f_measure: 0.5726, kappa: 0.1452, kb_relative_information_score: 77.8373, mean_absolute_error: 0.4734, 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: 0.9468, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4962, root_relative_squared_error: 0.9924, scimark_benchmark: 1264.5233, usercpu_time_millis: 304.421, usercpu_time_millis_testing: 3.969, usercpu_time_millis_training: 300.452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.61, f_measure: 0.579, kappa: 0.1584, kb_relative_information_score: 106.6489, mean_absolute_error: 0.4617, 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: 0.9234, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5028, root_relative_squared_error: 1.0056, scimark_benchmark: 1258.8773, usercpu_time_millis: 15.702, usercpu_time_millis_testing: 0.35, usercpu_time_millis_training: 15.352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5975, f_measure: 0.5849, kappa: 0.17, kb_relative_information_score: 76.093, mean_absolute_error: 0.4741, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.585, predictive_accuracy: 0.585, prior_entropy: 1, recall: 0.585, relative_absolute_error: 0.9482, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4998, root_relative_squared_error: 0.9996, scimark_benchmark: 1250.5035, usercpu_time_millis: 49.689, usercpu_time_millis_testing: 2.762, usercpu_time_millis_training: 46.927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5607, f_measure: 0.5495, kappa: 0.099, kb_relative_information_score: 35.9676, mean_absolute_error: 0.4881, 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: 0.9761, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5006, root_relative_squared_error: 1.0013, scimark_benchmark: 1250.9787, usercpu_time_millis: 75.171, usercpu_time_millis_testing: 4.416, usercpu_time_millis_training: 70.755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5172, f_measure: 0.5118, kappa: 0.0297, kb_relative_information_score: 8.2965, mean_absolute_error: 0.4974, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5152, predictive_accuracy: 0.5149, prior_entropy: 1, recall: 0.5149, relative_absolute_error: 0.9948, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4999, root_relative_squared_error: 0.9999, scimark_benchmark: 1274.1181, usercpu_time_millis: 42.193, usercpu_time_millis_testing: 1.717, usercpu_time_millis_training: 40.476,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5813, f_measure: 0.5602, kappa: 0.1205, kb_relative_information_score: 53.5297, mean_absolute_error: 0.482, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5602, predictive_accuracy: 0.5602, prior_entropy: 1, recall: 0.5602, relative_absolute_error: 0.964, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.498, root_relative_squared_error: 0.996, scimark_benchmark: 1239.6902, usercpu_time_millis: 113.639, usercpu_time_millis_testing: 5.621, usercpu_time_millis_training: 108.018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5415, f_measure: 0.5182, kappa: 0.0396, kb_relative_information_score: 23.9123, mean_absolute_error: 0.492, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5201, predictive_accuracy: 0.5198, prior_entropy: 1, recall: 0.5198, relative_absolute_error: 0.984, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4997, root_relative_squared_error: 0.9993, scimark_benchmark: 1248.0071, usercpu_time_millis: 61.263, usercpu_time_millis_testing: 2.311, usercpu_time_millis_training: 58.952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5121, f_measure: 0.5028, kappa: 0.0116, kb_relative_information_score: 12.2749, mean_absolute_error: 0.4957, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5059, predictive_accuracy: 0.5058, prior_entropy: 1, recall: 0.5058, relative_absolute_error: 0.9915, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5028, root_relative_squared_error: 1.0056, scimark_benchmark: 1247.3779, usercpu_time_millis: 19.515, usercpu_time_millis_testing: 1.686, usercpu_time_millis_training: 17.829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.561, f_measure: 0.5296, kappa: 0.0594, kb_relative_information_score: 38.8303, mean_absolute_error: 0.4868, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5297, predictive_accuracy: 0.5297, prior_entropy: 1, recall: 0.5297, relative_absolute_error: 0.9736, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4992, root_relative_squared_error: 0.9984, scimark_benchmark: 1268.7202, usercpu_time_millis: 124.735, usercpu_time_millis_testing: 2.884, usercpu_time_millis_training: 121.851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5619, f_measure: 0.5437, kappa: 0.0875, kb_relative_information_score: 37.2241, mean_absolute_error: 0.4876, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5437, predictive_accuracy: 0.5437, prior_entropy: 1, recall: 0.5437, relative_absolute_error: 0.9751, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0006, scimark_benchmark: 1245.9237, usercpu_time_millis: 56.927, usercpu_time_millis_testing: 3.284, usercpu_time_millis_training: 53.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6063, f_measure: 0.5882, kappa: 0.1766, kb_relative_information_score: 74.9281, mean_absolute_error: 0.4747, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5883, predictive_accuracy: 0.5883, prior_entropy: 1, recall: 0.5883, relative_absolute_error: 0.9494, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4946, root_relative_squared_error: 0.9891, scimark_benchmark: 1267.7578, usercpu_time_millis: 250.528, usercpu_time_millis_testing: 4.167, usercpu_time_millis_training: 246.361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6056, f_measure: 0.5683, kappa: 0.137, kb_relative_information_score: 78.5803, mean_absolute_error: 0.4731, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5686, predictive_accuracy: 0.5685, prior_entropy: 1, recall: 0.5685, relative_absolute_error: 0.9462, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4952, root_relative_squared_error: 0.9904, scimark_benchmark: 1272.6726, usercpu_time_millis: 174.277, usercpu_time_millis_testing: 2.8, usercpu_time_millis_training: 171.477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6055, f_measure: 0.5684, kappa: 0.137, kb_relative_information_score: 85.8657, mean_absolute_error: 0.4702, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5686, predictive_accuracy: 0.5685, prior_entropy: 1, recall: 0.5685, relative_absolute_error: 0.9404, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.497, root_relative_squared_error: 0.994, scimark_benchmark: 1238.1634, usercpu_time_millis: 448.264, usercpu_time_millis_testing: 7.972, usercpu_time_millis_training: 440.292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4965, f_measure: 0.4967, kappa: -0.0066, kb_relative_information_score: -0.015, 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: 1239.2893, usercpu_time_millis: 9.314, usercpu_time_millis_testing: 1.335, usercpu_time_millis_training: 7.979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.541, f_measure: 0.5131, kappa: 0.0297, kb_relative_information_score: 19.0735, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5151, predictive_accuracy: 0.5149, prior_entropy: 1, recall: 0.5149, relative_absolute_error: 0.9876, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4995, root_relative_squared_error: 0.9989, scimark_benchmark: 1258.0577, usercpu_time_millis: 3.577, usercpu_time_millis_testing: 0.206, usercpu_time_millis_training: 3.371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5492, f_measure: 0.5271, kappa: 0.0545, kb_relative_information_score: 29.9157, mean_absolute_error: 0.4898, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5273, predictive_accuracy: 0.5272, prior_entropy: 1, recall: 0.5272, relative_absolute_error: 0.9797, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4997, root_relative_squared_error: 0.9995, scimark_benchmark: 1253.8031, usercpu_time_millis: 28.228, usercpu_time_millis_testing: 0.809, usercpu_time_millis_training: 27.419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5994, f_measure: 0.5808, kappa: 0.1617, kb_relative_information_score: 88.0647, mean_absolute_error: 0.4695, 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: 0.939, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.503, root_relative_squared_error: 1.006, scimark_benchmark: 1279.4834, usercpu_time_millis: 7.018, usercpu_time_millis_testing: 0.316, usercpu_time_millis_training: 6.702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5868, f_measure: 0.5569, kappa: 0.1139, kb_relative_information_score: 53.5927, mean_absolute_error: 0.4821, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.557, predictive_accuracy: 0.5569, prior_entropy: 1, recall: 0.5569, relative_absolute_error: 0.9642, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4959, root_relative_squared_error: 0.9917, scimark_benchmark: 1246.9399, usercpu_time_millis: 139.687, usercpu_time_millis_testing: 1.783, usercpu_time_millis_training: 137.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5844, f_measure: 0.5569, kappa: 0.1139, kb_relative_information_score: 57.5424, mean_absolute_error: 0.4806, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5569, predictive_accuracy: 0.5569, prior_entropy: 1, recall: 0.5569, relative_absolute_error: 0.9612, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4987, root_relative_squared_error: 0.9973, scimark_benchmark: 1259.0141, usercpu_time_millis: 235.85, usercpu_time_millis_testing: 5.406, usercpu_time_millis_training: 230.444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5853, f_measure: 0.5586, kappa: 0.1172, kb_relative_information_score: 61.1271, mean_absolute_error: 0.4792, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5586, predictive_accuracy: 0.5586, prior_entropy: 1, recall: 0.5586, relative_absolute_error: 0.9584, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4994, root_relative_squared_error: 0.9987, scimark_benchmark: 1244.5436, usercpu_time_millis: 87.504, usercpu_time_millis_testing: 1.93, usercpu_time_millis_training: 85.574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6182, f_measure: 0.5931, kappa: 0.1865, kb_relative_information_score: 114.1707, mean_absolute_error: 0.4591, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5933, predictive_accuracy: 0.5932, prior_entropy: 1, recall: 0.5932, relative_absolute_error: 0.9182, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.499, root_relative_squared_error: 0.9981, scimark_benchmark: 1283.7162, usercpu_time_millis: 582.146, usercpu_time_millis_testing: 6.52, usercpu_time_millis_training: 575.626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5144, f_measure: 0.5041, kappa: 0.0149, kb_relative_information_score: 7.8429, mean_absolute_error: 0.4975, 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: 0.995, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0006, scimark_benchmark: 1254.93, usercpu_time_millis: 36.167, usercpu_time_millis_testing: 2.186, usercpu_time_millis_training: 33.981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5863, f_measure: 0.5503, kappa: 0.1007, kb_relative_information_score: 55.8886, mean_absolute_error: 0.4812, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5503, predictive_accuracy: 0.5503, prior_entropy: 1, recall: 0.5503, relative_absolute_error: 0.9624, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4968, root_relative_squared_error: 0.9936, scimark_benchmark: 1250.05, usercpu_time_millis: 198.675, usercpu_time_millis_testing: 2.636, usercpu_time_millis_training: 196.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, f_measure: 0.4925, kappa: -0.005, kb_relative_information_score: -0.0237, 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: 1246.3236, usercpu_time_millis: 6.682, usercpu_time_millis_testing: 1.075, usercpu_time_millis_training: 5.607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.544, f_measure: 0.5259, kappa: 0.0545, kb_relative_information_score: 25.0176, mean_absolute_error: 0.4917, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5275, predictive_accuracy: 0.5272, prior_entropy: 1, recall: 0.5272, relative_absolute_error: 0.9833, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4995, root_relative_squared_error: 0.9989, scimark_benchmark: 1249.1658, usercpu_time_millis: 125.164, usercpu_time_millis_testing: 3.587, usercpu_time_millis_training: 121.577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6231, f_measure: 0.5989, kappa: 0.198, kb_relative_information_score: 103.4707, mean_absolute_error: 0.4641, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5991, predictive_accuracy: 0.599, prior_entropy: 1, recall: 0.599, relative_absolute_error: 0.9282, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4937, root_relative_squared_error: 0.9874, scimark_benchmark: 1255.2606, usercpu_time_millis: 502.355, usercpu_time_millis_testing: 10.355, usercpu_time_millis_training: 492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5656, f_measure: 0.5358, kappa: 0.0726, kb_relative_information_score: 33.7645, mean_absolute_error: 0.4889, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5364, predictive_accuracy: 0.5363, prior_entropy: 1, recall: 0.5363, relative_absolute_error: 0.9779, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4972, root_relative_squared_error: 0.9944, scimark_benchmark: 1274.0571, usercpu_time_millis: 221.637, usercpu_time_millis_testing: 3.845, usercpu_time_millis_training: 217.792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5249, f_measure: 0.5265, kappa: 0.0561, kb_relative_information_score: 9.3791, mean_absolute_error: 0.4971, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5284, predictive_accuracy: 0.5281, prior_entropy: 1, recall: 0.5281, relative_absolute_error: 0.9942, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4993, root_relative_squared_error: 0.9987, scimark_benchmark: 1271.3139, usercpu_time_millis: 39.242, usercpu_time_millis_testing: 1.077, usercpu_time_millis_training: 38.165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, f_measure: 0.4925, kappa: -0.005, kb_relative_information_score: -0.0067, 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: 1267.7956, usercpu_time_millis: 8.535, usercpu_time_millis_testing: 1.142, usercpu_time_millis_training: 7.393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.54, f_measure: 0.5229, kappa: 0.0479, kb_relative_information_score: 22.6721, mean_absolute_error: 0.4925, 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: 0.9849, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.001, scimark_benchmark: 1250.681, usercpu_time_millis: 39.635, usercpu_time_millis_testing: 2.126, usercpu_time_millis_training: 37.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5829, f_measure: 0.5569, kappa: 0.1139, kb_relative_information_score: 53.2956, mean_absolute_error: 0.4821, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.557, predictive_accuracy: 0.5569, prior_entropy: 1, recall: 0.5569, relative_absolute_error: 0.9643, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4977, root_relative_squared_error: 0.9954, scimark_benchmark: 1237.4991, usercpu_time_millis: 205.393, usercpu_time_millis_testing: 4.676, usercpu_time_millis_training: 200.717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5058, f_measure: 0.5149, kappa: 0.0314, kb_relative_information_score: 2.8095, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5158, predictive_accuracy: 0.5157, prior_entropy: 1, recall: 0.5157, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5007, root_relative_squared_error: 1.0014, scimark_benchmark: 1234.3783, usercpu_time_millis: 13.055, usercpu_time_millis_testing: 1.105, usercpu_time_millis_training: 11.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6111, f_measure: 0.5783, kappa: 0.1568, kb_relative_information_score: 86.5937, mean_absolute_error: 0.4703, 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: 0.9406, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4949, root_relative_squared_error: 0.9899, scimark_benchmark: 1272.2468, usercpu_time_millis: 171.461, usercpu_time_millis_testing: 3.391, usercpu_time_millis_training: 168.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5795, f_measure: 0.5619, kappa: 0.1238, kb_relative_information_score: 53.8956, mean_absolute_error: 0.4818, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5619, predictive_accuracy: 0.5619, prior_entropy: 1, recall: 0.5619, relative_absolute_error: 0.9637, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4995, root_relative_squared_error: 0.9991, scimark_benchmark: 1273.9331, usercpu_time_millis: 65.194, usercpu_time_millis_testing: 1.871, usercpu_time_millis_training: 63.323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.509, f_measure: 0.4848, kappa: -0.0231, kb_relative_information_score: 9.0183, mean_absolute_error: 0.497, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4881, predictive_accuracy: 0.4884, prior_entropy: 1, recall: 0.4884, relative_absolute_error: 0.994, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5007, root_relative_squared_error: 1.0014, scimark_benchmark: 1276.477, usercpu_time_millis: 5.96, usercpu_time_millis_testing: 0.437, usercpu_time_millis_training: 5.523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5523, f_measure: 0.5196, kappa: 0.0413, kb_relative_information_score: 32.3891, mean_absolute_error: 0.4891, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5208, predictive_accuracy: 0.5206, prior_entropy: 1, recall: 0.5206, relative_absolute_error: 0.9781, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0005, scimark_benchmark: 1239.2342, usercpu_time_millis: 82.944, usercpu_time_millis_testing: 2.826, usercpu_time_millis_training: 80.118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5792, f_measure: 0.5534, kappa: 0.1073, kb_relative_information_score: 42.2524, mean_absolute_error: 0.4862, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5537, predictive_accuracy: 0.5536, prior_entropy: 1, recall: 0.5536, relative_absolute_error: 0.9724, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4956, root_relative_squared_error: 0.9912, scimark_benchmark: 1243.2607, usercpu_time_millis: 39.927, usercpu_time_millis_testing: 0.887, usercpu_time_millis_training: 39.04,

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