OpenML
Supervised Classification on kc3

Supervised Classification on kc3

Task 3915 Supervised Classification kc3 564 runs submitted
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  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7822, f_measure: 0.8727, kappa: 0.1018, kb_relative_information_score: -32.8139, mean_absolute_error: 0.1246, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8729, predictive_accuracy: 0.9061, prior_entropy: 0.4551, recall: 0.9061, relative_absolute_error: 0.726, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2893, root_relative_squared_error: 0.9917, scimark_benchmark: 1840.6094, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7146, f_measure: 0.8772, kappa: 0.1373, kb_relative_information_score: -84.9556, mean_absolute_error: 0.1334, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8814, predictive_accuracy: 0.9083, prior_entropy: 0.4551, recall: 0.9083, relative_absolute_error: 0.7774, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3158, root_relative_squared_error: 1.0826, scimark_benchmark: 1840.6094, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7952, f_measure: 0.856, kappa: -0.02, kb_relative_information_score: -87.4134, mean_absolute_error: 0.1412, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8201, predictive_accuracy: 0.8952, prior_entropy: 0.4551, recall: 0.8952, relative_absolute_error: 0.8227, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2828, root_relative_squared_error: 0.9697, scimark_benchmark: 1873.1108, usercpu_time_millis: 62.5, usercpu_time_millis_testing: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7672, f_measure: 0.8808, kappa: 0.1964, kb_relative_information_score: -151.1794, mean_absolute_error: 0.1421, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8734, predictive_accuracy: 0.9017, prior_entropy: 0.4551, recall: 0.9017, relative_absolute_error: 0.8284, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2867, root_relative_squared_error: 0.9829, scimark_benchmark: 1873.1108, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5228, f_measure: 0.8635, kappa: 0.0664, kb_relative_information_score: 64.2574, mean_absolute_error: 0.1092, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8463, predictive_accuracy: 0.8908, prior_entropy: 0.4551, recall: 0.8908, relative_absolute_error: 0.6363, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3304, root_relative_squared_error: 1.1328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5221, f_measure: 0.8705, kappa: 0.0756, kb_relative_information_score: 126.3347, mean_absolute_error: 0.0917, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8871, predictive_accuracy: 0.9083, prior_entropy: 0.4551, recall: 0.9083, relative_absolute_error: 0.5345, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3028, root_relative_squared_error: 1.0382, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5208, f_measure: 0.8693, kappa: 0.0702, kb_relative_information_score: 118.575, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8712, predictive_accuracy: 0.9061, prior_entropy: 0.4551, recall: 0.9061, relative_absolute_error: 0.5472, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3064, root_relative_squared_error: 1.0505, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.718, f_measure: 0.8877, kappa: 0.2389, kb_relative_information_score: -14.9028, mean_absolute_error: 0.1441, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8846, predictive_accuracy: 0.9083, prior_entropy: 0.4551, recall: 0.9083, relative_absolute_error: 0.8401, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2829, root_relative_squared_error: 0.9699, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6613, f_measure: 0.8793, kappa: 0.1903, kb_relative_information_score: -73.393, mean_absolute_error: 0.1488, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8708, predictive_accuracy: 0.8996, prior_entropy: 0.4551, recall: 0.8996, relative_absolute_error: 0.8673, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2918, root_relative_squared_error: 1.0004, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4727, f_measure: 0.8615, kb_relative_information_score: -7.2965, mean_absolute_error: 0.1718, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.821, predictive_accuracy: 0.9061, prior_entropy: 0.4551, recall: 0.9061, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2917, root_relative_squared_error: 1.0001, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4727, f_measure: 0.8615, kb_relative_information_score: -7.2965, mean_absolute_error: 0.1718, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.821, predictive_accuracy: 0.9061, prior_entropy: 0.4551, recall: 0.9061, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2917, root_relative_squared_error: 1.0001, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8615, kb_relative_information_score: 118.575, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.821, predictive_accuracy: 0.9061, prior_entropy: 0.4551, recall: 0.9061, relative_absolute_error: 0.5472, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3064, root_relative_squared_error: 1.0505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7852, f_measure: 0.879, kappa: 0.296, kb_relative_information_score: -6.4654, mean_absolute_error: 0.1267, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8803, predictive_accuracy: 0.8777, prior_entropy: 0.4551, recall: 0.8777, relative_absolute_error: 0.7387, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3257, root_relative_squared_error: 1.1166, scimark_benchmark: 1732.2066, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7096, f_measure: 0.8552, kappa: 0.2444, kb_relative_information_score: -111.6299, mean_absolute_error: 0.157, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8739, predictive_accuracy: 0.8406, prior_entropy: 0.4551, recall: 0.8406, relative_absolute_error: 0.9152, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3932, root_relative_squared_error: 1.348, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5461, f_measure: 0.8716, kappa: 0.1302, kb_relative_information_score: 79.7767, mean_absolute_error: 0.1048, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8597, predictive_accuracy: 0.8952, prior_entropy: 0.4551, recall: 0.8952, relative_absolute_error: 0.6108, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3237, root_relative_squared_error: 1.1099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7852, f_measure: 0.879, kappa: 0.296, kb_relative_information_score: -6.4654, mean_absolute_error: 0.1267, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8803, predictive_accuracy: 0.8777, prior_entropy: 0.4551, recall: 0.8777, relative_absolute_error: 0.7387, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3257, root_relative_squared_error: 1.1166, scimark_benchmark: 1887.4343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6939, f_measure: 0.8905, kappa: 0.2867, kb_relative_information_score: -13.5974, mean_absolute_error: 0.1381, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8844, predictive_accuracy: 0.9039, prior_entropy: 0.4551, recall: 0.9039, relative_absolute_error: 0.8047, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2946, root_relative_squared_error: 1.0099, scimark_benchmark: 1806.5905, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6435, f_measure: 0.8859, kappa: 0.2898, kb_relative_information_score: 8.0239, mean_absolute_error: 0.1335, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8804, predictive_accuracy: 0.893, prior_entropy: 0.4551, recall: 0.893, relative_absolute_error: 0.7779, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3089, root_relative_squared_error: 1.059, scimark_benchmark: 1806.5905, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7711, f_measure: 0.8756, kappa: 0.1894, kb_relative_information_score: -108.8673, mean_absolute_error: 0.1431, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8659, predictive_accuracy: 0.8908, prior_entropy: 0.4551, recall: 0.8908, relative_absolute_error: 0.8338, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2858, root_relative_squared_error: 0.9798, scimark_benchmark: 1806.5905, usercpu_time_millis: 78.0005, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 62.4004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8362, f_measure: 0.8703, kappa: 0.1089, kb_relative_information_score: -95.7213, mean_absolute_error: 0.1405, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8582, predictive_accuracy: 0.8974, prior_entropy: 0.4551, recall: 0.8974, relative_absolute_error: 0.8189, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2746, root_relative_squared_error: 0.9414, scimark_benchmark: 1806.5905, usercpu_time_millis: 78.0005, usercpu_time_millis_training: 78.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7614, f_measure: 0.8897, kappa: 0.3447, kb_relative_information_score: 38.5412, mean_absolute_error: 0.1158, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8885, predictive_accuracy: 0.8908, prior_entropy: 0.4551, recall: 0.8908, relative_absolute_error: 0.6751, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3327, root_relative_squared_error: 1.1406, scimark_benchmark: 1806.5905, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7285, f_measure: 0.875, kappa: 0.2264, kb_relative_information_score: 31.4483, mean_absolute_error: 0.1191, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8692, predictive_accuracy: 0.8821, prior_entropy: 0.4551, recall: 0.8821, relative_absolute_error: 0.6943, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3425, root_relative_squared_error: 1.1744, scimark_benchmark: 1806.5905, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7852, f_measure: 0.879, kappa: 0.296, kb_relative_information_score: -6.4654, mean_absolute_error: 0.1267, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8803, predictive_accuracy: 0.8777, prior_entropy: 0.4551, recall: 0.8777, relative_absolute_error: 0.7387, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3257, root_relative_squared_error: 1.1166, scimark_benchmark: 1877.5305, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7096, f_measure: 0.8552, kappa: 0.2444, kb_relative_information_score: -111.6299, mean_absolute_error: 0.157, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8739, predictive_accuracy: 0.8406, prior_entropy: 0.4551, recall: 0.8406, relative_absolute_error: 0.9152, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3932, root_relative_squared_error: 1.348, scimark_benchmark: 1850.8887, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4727, f_measure: 0.8615, kb_relative_information_score: -7.2965, mean_absolute_error: 0.1718, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.821, predictive_accuracy: 0.9061, prior_entropy: 0.4551, recall: 0.9061, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2917, root_relative_squared_error: 1.0001, scimark_benchmark: 1850.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5689, f_measure: 0.8683, kappa: 0.1634, kb_relative_information_score: 25.4591, mean_absolute_error: 0.1201, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8592, predictive_accuracy: 0.8799, prior_entropy: 0.4551, recall: 0.8799, relative_absolute_error: 0.6999, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3465, root_relative_squared_error: 1.1881, usercpu_time_millis: 5.358, usercpu_time_millis_testing: 0.507, usercpu_time_millis_training: 4.851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5132, f_measure: 0.8532, kappa: 0.0342, kb_relative_information_score: 2.1801, mean_absolute_error: 0.1266, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8366, predictive_accuracy: 0.8734, prior_entropy: 0.4551, recall: 0.8734, relative_absolute_error: 0.7381, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3559, root_relative_squared_error: 1.2201, usercpu_time_millis: 2.11, usercpu_time_millis_testing: 0.065, usercpu_time_millis_training: 2.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5092, f_measure: 0.8644, kappa: 0.0316, kb_relative_information_score: 110.8154, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8538, predictive_accuracy: 0.9039, prior_entropy: 0.4551, recall: 0.9039, relative_absolute_error: 0.5599, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.31, root_relative_squared_error: 1.0627, usercpu_time_millis: 1.424, usercpu_time_millis_testing: 0.122, usercpu_time_millis_training: 1.302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6194, f_measure: 0.8628, kappa: 0.2226, kb_relative_information_score: -52.1375, mean_absolute_error: 0.1419, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.868, predictive_accuracy: 0.8581, prior_entropy: 0.4551, recall: 0.8581, relative_absolute_error: 0.8272, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3767, root_relative_squared_error: 1.2916, usercpu_time_millis: 3.741, usercpu_time_millis_testing: 0.057, usercpu_time_millis_training: 3.684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6839, f_measure: 0.8594, kappa: 0.2848, kb_relative_information_score: -106.4551, mean_absolute_error: 0.1572, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8824, predictive_accuracy: 0.8428, prior_entropy: 0.4551, recall: 0.8428, relative_absolute_error: 0.9162, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3965, root_relative_squared_error: 1.3594, usercpu_time_millis: 0.616, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 0.595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8615, kb_relative_information_score: 118.575, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.821, predictive_accuracy: 0.9061, prior_entropy: 0.4551, recall: 0.9061, relative_absolute_error: 0.5472, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3064, root_relative_squared_error: 1.0505, usercpu_time_millis: 0.665, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 0.619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5706, f_measure: 0.8808, kappa: 0.1964, kb_relative_information_score: 103.0557, mean_absolute_error: 0.0983, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8734, predictive_accuracy: 0.9017, prior_entropy: 0.4551, recall: 0.9017, relative_absolute_error: 0.5726, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3135, root_relative_squared_error: 1.0747, usercpu_time_millis: 27.247, usercpu_time_millis_testing: 1.354, usercpu_time_millis_training: 25.893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5677, f_measure: 0.8669, kappa: 0.1586, kb_relative_information_score: 17.6995, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8581, predictive_accuracy: 0.8777, prior_entropy: 0.4551, recall: 0.8777, relative_absolute_error: 0.7126, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3497, root_relative_squared_error: 1.1988, usercpu_time_millis: 0.379, usercpu_time_millis_testing: 0.095, usercpu_time_millis_training: 0.284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5068, f_measure: 0.862, kappa: 0.0225, kb_relative_information_score: 95.296, mean_absolute_error: 0.1004, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8409, predictive_accuracy: 0.8996, prior_entropy: 0.4551, recall: 0.8996, relative_absolute_error: 0.5854, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3169, root_relative_squared_error: 1.0865, usercpu_time_millis: 15.946, usercpu_time_millis_testing: 0.159, usercpu_time_millis_training: 15.787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.524, f_measure: 0.8648, kappa: 0.071, kb_relative_information_score: 72.0171, mean_absolute_error: 0.107, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8483, predictive_accuracy: 0.893, prior_entropy: 0.4551, recall: 0.893, relative_absolute_error: 0.6235, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3271, root_relative_squared_error: 1.1214, usercpu_time_millis: 23.363, usercpu_time_millis_testing: 3.487, usercpu_time_millis_training: 19.876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5357, f_measure: 0.869, kappa: 0.1038, kb_relative_information_score: 79.7767, mean_absolute_error: 0.1048, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8556, predictive_accuracy: 0.8952, prior_entropy: 0.4551, recall: 0.8952, relative_absolute_error: 0.6108, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3237, root_relative_squared_error: 1.1099, usercpu_time_millis: 6.74, usercpu_time_millis_testing: 0.173, usercpu_time_millis_training: 6.567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.524, f_measure: 0.8648, kappa: 0.071, kb_relative_information_score: 72.0171, mean_absolute_error: 0.107, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8483, predictive_accuracy: 0.893, prior_entropy: 0.4551, recall: 0.893, relative_absolute_error: 0.6235, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3271, root_relative_squared_error: 1.1214, usercpu_time_millis: 2.361, usercpu_time_millis_testing: 0.212, usercpu_time_millis_training: 2.149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5068, f_measure: 0.862, kappa: 0.0225, kb_relative_information_score: 95.296, mean_absolute_error: 0.1004, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8409, predictive_accuracy: 0.8996, prior_entropy: 0.4551, recall: 0.8996, relative_absolute_error: 0.5854, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3169, root_relative_squared_error: 1.0865, usercpu_time_millis: 0.216, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 0.184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5902, f_measure: 0.8836, kappa: 0.2341, kb_relative_information_score: 95.296, mean_absolute_error: 0.1004, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8759, predictive_accuracy: 0.8996, prior_entropy: 0.4551, recall: 0.8996, relative_absolute_error: 0.5854, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3169, root_relative_squared_error: 1.0865, usercpu_time_millis: 1.162, usercpu_time_millis_testing: 0.092, usercpu_time_millis_training: 1.07,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6527, f_measure: 0.8567, kappa: 0.2484, kb_relative_information_score: -106.4551, mean_absolute_error: 0.1572, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8745, predictive_accuracy: 0.8428, prior_entropy: 0.4551, recall: 0.8428, relative_absolute_error: 0.9162, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3965, root_relative_squared_error: 1.3594, usercpu_time_millis: 1.88, usercpu_time_millis_testing: 1.365, usercpu_time_millis_training: 0.515,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5172, f_measure: 0.8655, kappa: 0.0552, kb_relative_information_score: 95.296, mean_absolute_error: 0.1004, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8506, predictive_accuracy: 0.8996, prior_entropy: 0.4551, recall: 0.8996, relative_absolute_error: 0.5854, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3169, root_relative_squared_error: 1.0865, usercpu_time_millis: 0.154, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 0.135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5706, f_measure: 0.8808, kappa: 0.1964, kb_relative_information_score: 103.0557, mean_absolute_error: 0.0983, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8734, predictive_accuracy: 0.9017, prior_entropy: 0.4551, recall: 0.9017, relative_absolute_error: 0.5726, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3135, root_relative_squared_error: 1.0747, usercpu_time_millis: 0.36, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 0.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6098, f_measure: 0.8858, kappa: 0.267, kb_relative_information_score: 87.5364, mean_absolute_error: 0.1026, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8787, predictive_accuracy: 0.8974, prior_entropy: 0.4551, recall: 0.8974, relative_absolute_error: 0.5981, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3203, root_relative_squared_error: 1.0983, usercpu_time_millis: 0.582, usercpu_time_millis_testing: 0.116, usercpu_time_millis_training: 0.466,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5854, f_measure: 0.8775, kappa: 0.2102, kb_relative_information_score: 64.2574, mean_absolute_error: 0.1092, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8688, predictive_accuracy: 0.8908, prior_entropy: 0.4551, recall: 0.8908, relative_absolute_error: 0.6363, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3304, root_relative_squared_error: 1.1328, usercpu_time_millis: 3.491, usercpu_time_millis_testing: 0.993, usercpu_time_millis_training: 2.498,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.526, f_measure: 0.8583, kappa: 0.0675, kb_relative_information_score: 17.6995, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8431, predictive_accuracy: 0.8777, prior_entropy: 0.4551, recall: 0.8777, relative_absolute_error: 0.7126, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3497, root_relative_squared_error: 1.1988, usercpu_time_millis: 2.119, usercpu_time_millis_testing: 0.054, usercpu_time_millis_training: 2.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8615, kb_relative_information_score: 118.575, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.821, predictive_accuracy: 0.9061, prior_entropy: 0.4551, recall: 0.9061, relative_absolute_error: 0.5472, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3064, root_relative_squared_error: 1.0505, usercpu_time_millis: 5.845, usercpu_time_millis_testing: 0.38, usercpu_time_millis_training: 5.465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6375, f_measure: 0.8676, kappa: 0.0988, kb_relative_information_score: -69.3422, mean_absolute_error: 0.1546, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8533, predictive_accuracy: 0.893, prior_entropy: 0.4551, recall: 0.893, relative_absolute_error: 0.9013, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2974, root_relative_squared_error: 1.0196, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.745, f_measure: 0.8889, kappa: 0.2799, kb_relative_information_score: -298.0696, mean_absolute_error: 0.1802, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8823, predictive_accuracy: 0.9017, prior_entropy: 0.4551, recall: 0.9017, relative_absolute_error: 1.0504, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2988, root_relative_squared_error: 1.0243, scimark_benchmark: 972.587, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7683, f_measure: 0.8691, kappa: 0.2184, kb_relative_information_score: -98.4773, mean_absolute_error: 0.1487, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8671, predictive_accuracy: 0.8712, prior_entropy: 0.4551, recall: 0.8712, relative_absolute_error: 0.8666, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3009, root_relative_squared_error: 1.0316, scimark_benchmark: 851.2074, usercpu_time_millis: 240, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8615, kb_relative_information_score: 118.575, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.821, predictive_accuracy: 0.9061, prior_entropy: 0.4551, recall: 0.9061, relative_absolute_error: 0.5472, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3064, root_relative_squared_error: 1.0505, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8615, kb_relative_information_score: 118.575, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.821, predictive_accuracy: 0.9061, prior_entropy: 0.4551, recall: 0.9061, relative_absolute_error: 0.5472, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3064, root_relative_squared_error: 1.0505, scimark_benchmark: 916.0735, usercpu_time_millis: 170, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8027, f_measure: 0.8521, kappa: 0.2365, kb_relative_information_score: -234.7354, mean_absolute_error: 0.1747, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8729, predictive_accuracy: 0.8362, prior_entropy: 0.4551, recall: 0.8362, relative_absolute_error: 1.0184, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3443, root_relative_squared_error: 1.1805, scimark_benchmark: 941.6675, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8027, f_measure: 0.8521, kappa: 0.2365, kb_relative_information_score: -234.7354, mean_absolute_error: 0.1747, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8729, predictive_accuracy: 0.8362, prior_entropy: 0.4551, recall: 0.8362, relative_absolute_error: 1.0184, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3443, root_relative_squared_error: 1.1805, scimark_benchmark: 938.191, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.814, f_measure: 0.873, kappa: 0.1198, kb_relative_information_score: -68.972, mean_absolute_error: 0.1428, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8648, predictive_accuracy: 0.9017, prior_entropy: 0.4551, recall: 0.9017, relative_absolute_error: 0.8324, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2713, root_relative_squared_error: 0.9302, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7935, f_measure: 0.8764, kappa: 0.1785, kb_relative_information_score: -32.7223, mean_absolute_error: 0.1363, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8664, predictive_accuracy: 0.8952, prior_entropy: 0.4551, recall: 0.8952, relative_absolute_error: 0.7946, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2813, root_relative_squared_error: 0.9644, scimark_benchmark: 901.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8027, f_measure: 0.8521, kappa: 0.2365, kb_relative_information_score: -234.7354, mean_absolute_error: 0.1747, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8729, predictive_accuracy: 0.8362, prior_entropy: 0.4551, recall: 0.8362, relative_absolute_error: 1.0184, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3443, root_relative_squared_error: 1.1805, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7174, f_measure: 0.8937, kappa: 0.3007, kb_relative_information_score: 3.9229, mean_absolute_error: 0.131, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8889, predictive_accuracy: 0.9083, prior_entropy: 0.4551, recall: 0.9083, relative_absolute_error: 0.7635, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2822, root_relative_squared_error: 0.9675, scimark_benchmark: 927.2917, usercpu_time_millis: 890, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8615, kb_relative_information_score: 118.575, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.821, predictive_accuracy: 0.9061, prior_entropy: 0.4551, recall: 0.9061, relative_absolute_error: 0.5472, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3064, root_relative_squared_error: 1.0505, scimark_benchmark: 938.5498, usercpu_time_millis: 160, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8615, kb_relative_information_score: 118.575, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.821, predictive_accuracy: 0.9061, prior_entropy: 0.4551, recall: 0.9061, relative_absolute_error: 0.5472, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3064, root_relative_squared_error: 1.0505, scimark_benchmark: 932.438, usercpu_time_millis: 150, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7174, f_measure: 0.8937, kappa: 0.3007, kb_relative_information_score: 3.9229, mean_absolute_error: 0.131, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8889, predictive_accuracy: 0.9083, prior_entropy: 0.4551, recall: 0.9083, relative_absolute_error: 0.7635, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2822, root_relative_squared_error: 0.9675, scimark_benchmark: 939.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8362, f_measure: 0.8703, kappa: 0.1089, kb_relative_information_score: -95.7213, mean_absolute_error: 0.1405, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8582, predictive_accuracy: 0.8974, prior_entropy: 0.4551, recall: 0.8974, relative_absolute_error: 0.8189, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2746, root_relative_squared_error: 0.9414, scimark_benchmark: 943.1009, usercpu_time_millis: 140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6375, f_measure: 0.8676, kappa: 0.0988, kb_relative_information_score: -69.3422, mean_absolute_error: 0.1546, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8533, predictive_accuracy: 0.893, prior_entropy: 0.4551, recall: 0.893, relative_absolute_error: 0.9013, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2974, root_relative_squared_error: 1.0196, scimark_benchmark: 942.2392, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.745, f_measure: 0.8889, kappa: 0.2799, kb_relative_information_score: -298.0696, mean_absolute_error: 0.1802, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8823, predictive_accuracy: 0.9017, prior_entropy: 0.4551, recall: 0.9017, relative_absolute_error: 1.0504, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2988, root_relative_squared_error: 1.0243, scimark_benchmark: 901.6243, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8615, kb_relative_information_score: 118.575, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.821, predictive_accuracy: 0.9061, prior_entropy: 0.4551, recall: 0.9061, relative_absolute_error: 0.5472, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3064, root_relative_squared_error: 1.0505, scimark_benchmark: 730.6551, usercpu_time_millis: 860, usercpu_time_millis_testing: 400, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8615, kb_relative_information_score: 118.575, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.821, predictive_accuracy: 0.9061, prior_entropy: 0.4551, recall: 0.9061, relative_absolute_error: 0.5472, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3064, root_relative_squared_error: 1.0505, scimark_benchmark: 930.404, usercpu_time_millis: 150, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8027, f_measure: 0.8521, kappa: 0.2365, kb_relative_information_score: -234.7354, mean_absolute_error: 0.1747, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8729, predictive_accuracy: 0.8362, prior_entropy: 0.4551, recall: 0.8362, relative_absolute_error: 1.0184, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3443, root_relative_squared_error: 1.1805, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8027, f_measure: 0.8521, kappa: 0.2365, kb_relative_information_score: -234.7354, mean_absolute_error: 0.1747, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8729, predictive_accuracy: 0.8362, prior_entropy: 0.4551, recall: 0.8362, relative_absolute_error: 1.0184, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3443, root_relative_squared_error: 1.1805, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8027, f_measure: 0.8521, kappa: 0.2365, kb_relative_information_score: -234.7354, mean_absolute_error: 0.1747, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8729, predictive_accuracy: 0.8362, prior_entropy: 0.4551, recall: 0.8362, relative_absolute_error: 1.0184, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3443, root_relative_squared_error: 1.1805, scimark_benchmark: 933.3455, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.814, f_measure: 0.873, kappa: 0.1198, kb_relative_information_score: -68.972, mean_absolute_error: 0.1428, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8648, predictive_accuracy: 0.9017, prior_entropy: 0.4551, recall: 0.9017, relative_absolute_error: 0.8324, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2713, root_relative_squared_error: 0.9302, scimark_benchmark: 930.404, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7935, f_measure: 0.8764, kappa: 0.1785, kb_relative_information_score: -32.7223, mean_absolute_error: 0.1363, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8664, predictive_accuracy: 0.8952, prior_entropy: 0.4551, recall: 0.8952, relative_absolute_error: 0.7946, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2813, root_relative_squared_error: 0.9644, scimark_benchmark: 936.9595, usercpu_time_millis: 5420, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 5340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8027, f_measure: 0.8521, kappa: 0.2365, kb_relative_information_score: -234.7354, mean_absolute_error: 0.1747, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8729, predictive_accuracy: 0.8362, prior_entropy: 0.4551, recall: 0.8362, relative_absolute_error: 1.0184, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3443, root_relative_squared_error: 1.1805, scimark_benchmark: 945.6228, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,

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