OpenML
Supervised Classification on kr-vs-kp

Supervised Classification on kr-vs-kp

Task 3 Supervised Classification kr-vs-kp 173956 runs submitted
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  • at2 basic mythbusting mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_218 study_41 study_50 study_7 study_70 study_73 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9485, f_measure: 0.949, kappa: 0.8977, kb_relative_information_score: 0.8977, mean_absolute_error: 0.051, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9491, predictive_accuracy: 0.949, prior_entropy: 0.9986, recall: 0.949, relative_absolute_error: 0.1022, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2258, root_relative_squared_error: 0.4521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7998, f_measure: 0.8008, kappa: 0.6082, kb_relative_information_score: 0.6134, mean_absolute_error: 0.1927, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.8399, predictive_accuracy: 0.8073, prior_entropy: 0.9986, recall: 0.8073, relative_absolute_error: 0.3862, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.439, root_relative_squared_error: 0.8789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.96, f_measure: 0.9603, kappa: 0.9203, kb_relative_information_score: 0.9203, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9603, predictive_accuracy: 0.9603, prior_entropy: 0.9986, recall: 0.9603, relative_absolute_error: 0.0796, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1993, root_relative_squared_error: 0.3991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9928, kappa: 0.9856, kb_relative_information_score: 0.9856, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9928, predictive_accuracy: 0.9928, prior_entropy: 0.9986, recall: 0.9928, relative_absolute_error: 0.0144, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0848, root_relative_squared_error: 0.1698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.9571, kappa: 0.914, kb_relative_information_score: 0.914, mean_absolute_error: 0.0429, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9572, predictive_accuracy: 0.9571, prior_entropy: 0.9986, recall: 0.9571, relative_absolute_error: 0.0859, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.207, root_relative_squared_error: 0.4145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0417, mean_absolute_error: 0.4778, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 0.9575, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.6912, root_relative_squared_error: 1.3838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9937, kappa: 0.9875, kb_relative_information_score: 0.9874, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9937, predictive_accuracy: 0.9937, prior_entropy: 0.9986, recall: 0.9937, relative_absolute_error: 0.0125, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0791, root_relative_squared_error: 0.1584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9812, kappa: 0.9624, kb_relative_information_score: 0.9623, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9814, predictive_accuracy: 0.9812, prior_entropy: 0.9986, recall: 0.9812, relative_absolute_error: 0.0376, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.137, root_relative_squared_error: 0.2743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9953, kappa: 0.9906, kb_relative_information_score: 0.9906, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9953, predictive_accuracy: 0.9953, prior_entropy: 0.9986, recall: 0.9953, relative_absolute_error: 0.0094, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0685, root_relative_squared_error: 0.1372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0417, mean_absolute_error: 0.4778, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 0.9575, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.6912, root_relative_squared_error: 1.3838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8452, f_measure: 0.8477, kappa: 0.6995, kb_relative_information_score: 0.7032, mean_absolute_error: 0.148, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.8841, predictive_accuracy: 0.852, prior_entropy: 0.9986, recall: 0.852, relative_absolute_error: 0.2966, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3847, root_relative_squared_error: 0.7702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9709, kappa: 0.9417, kb_relative_information_score: 0.9416, mean_absolute_error: 0.0291, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.971, predictive_accuracy: 0.9709, prior_entropy: 0.9986, recall: 0.9709, relative_absolute_error: 0.0583, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1706, root_relative_squared_error: 0.3415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0417, mean_absolute_error: 0.4778, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 0.9575, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.6912, root_relative_squared_error: 1.3838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0417, mean_absolute_error: 0.4778, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 0.9575, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.6912, root_relative_squared_error: 1.3838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8452, f_measure: 0.8477, kappa: 0.6995, kb_relative_information_score: 0.7032, mean_absolute_error: 0.148, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.8841, predictive_accuracy: 0.852, prior_entropy: 0.9986, recall: 0.852, relative_absolute_error: 0.2966, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3847, root_relative_squared_error: 0.7702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0417, mean_absolute_error: 0.4778, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 0.9575, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.6912, root_relative_squared_error: 1.3838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0417, mean_absolute_error: 0.4778, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 0.9575, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.6912, root_relative_squared_error: 1.3838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9959, kappa: 0.9918, kb_relative_information_score: 3143.4668, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9959, predictive_accuracy: 0.9959, prior_entropy: 0.9986, recall: 0.9959, relative_absolute_error: 0.0188, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.058, root_relative_squared_error: 0.116, scimark_benchmark: 1278.4461, usercpu_time_millis: 4.42, usercpu_time_millis_testing: 0.264, usercpu_time_millis_training: 4.156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9959, kappa: 0.9918, kb_relative_information_score: 3122.373, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9959, predictive_accuracy: 0.9959, prior_entropy: 0.9986, recall: 0.9959, relative_absolute_error: 0.0269, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0661, root_relative_squared_error: 0.1323, scimark_benchmark: 1281.1783, usercpu_time_millis: 44.367, usercpu_time_millis_testing: 1.826, usercpu_time_millis_training: 42.541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9663, f_measure: 0.9141, kappa: 0.828, kb_relative_information_score: 1945.9194, mean_absolute_error: 0.2242, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9195, predictive_accuracy: 0.9146, prior_entropy: 0.9986, recall: 0.9146, relative_absolute_error: 0.4493, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2768, root_relative_squared_error: 0.5542, scimark_benchmark: 1230.8466, usercpu_time_millis: 21.323, usercpu_time_millis_testing: 0.867, usercpu_time_millis_training: 20.456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9962, kappa: 0.9925, kb_relative_information_score: 3133.6442, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9962, predictive_accuracy: 0.9962, prior_entropy: 0.9986, recall: 0.9962, relative_absolute_error: 0.0223, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0626, root_relative_squared_error: 0.1253, scimark_benchmark: 1251.4368, usercpu_time_millis: 13.634, usercpu_time_millis_testing: 0.388, usercpu_time_millis_training: 13.246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9912, kappa: 0.9824, kb_relative_information_score: 3012.2389, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9913, predictive_accuracy: 0.9912, prior_entropy: 0.9986, recall: 0.9912, relative_absolute_error: 0.0678, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0977, root_relative_squared_error: 0.1956, scimark_benchmark: 1249.54, usercpu_time_millis: 87.987, usercpu_time_millis_testing: 3.12, usercpu_time_millis_training: 84.867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9615, kappa: 0.9227, kb_relative_information_score: 1361.567, mean_absolute_error: 0.3208, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9625, predictive_accuracy: 0.9615, prior_entropy: 0.9986, recall: 0.9615, relative_absolute_error: 0.6428, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3355, root_relative_squared_error: 0.6718, scimark_benchmark: 1265.4699, usercpu_time_millis: 101.433, usercpu_time_millis_testing: 8.186, usercpu_time_millis_training: 93.247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.3583, kb_relative_information_score: -0.0843, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.2727, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1, scimark_benchmark: 1269.069, usercpu_time_millis: 6.388, usercpu_time_millis_testing: 0.487, usercpu_time_millis_training: 5.901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9473, kappa: 0.8944, kb_relative_information_score: 1273.2482, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9487, predictive_accuracy: 0.9474, prior_entropy: 0.9986, recall: 0.9474, relative_absolute_error: 0.6679, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.348, root_relative_squared_error: 0.6966, scimark_benchmark: 1250.9142, usercpu_time_millis: 3.1, usercpu_time_millis_testing: 0.286, usercpu_time_millis_training: 2.814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9966, kappa: 0.9931, kb_relative_information_score: 3143.4638, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9966, predictive_accuracy: 0.9966, prior_entropy: 0.9986, recall: 0.9966, relative_absolute_error: 0.0187, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0604, root_relative_squared_error: 0.1209, scimark_benchmark: 1247.3049, usercpu_time_millis: 255.964, usercpu_time_millis_testing: 6.869, usercpu_time_millis_training: 249.095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9407, kappa: 0.8812, kb_relative_information_score: 2679.6958, mean_absolute_error: 0.0874, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9422, predictive_accuracy: 0.9409, prior_entropy: 0.9986, recall: 0.9409, relative_absolute_error: 0.1751, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.196, root_relative_squared_error: 0.3925, scimark_benchmark: 1266.5528, usercpu_time_millis: 20.211, usercpu_time_millis_testing: 1.005, usercpu_time_millis_training: 19.206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9654, f_measure: 0.9407, kappa: 0.8812, kb_relative_information_score: 1999.2332, mean_absolute_error: 0.2149, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9422, predictive_accuracy: 0.9409, prior_entropy: 0.9986, recall: 0.9409, relative_absolute_error: 0.4305, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2699, root_relative_squared_error: 0.5404, scimark_benchmark: 1256.8062, usercpu_time_millis: 1.2, usercpu_time_millis_testing: 0.114, usercpu_time_millis_training: 1.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9925, kappa: 0.985, kb_relative_information_score: 3069.9408, mean_absolute_error: 0.0227, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9925, predictive_accuracy: 0.9925, prior_entropy: 0.9986, recall: 0.9925, relative_absolute_error: 0.0455, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0865, root_relative_squared_error: 0.1732, scimark_benchmark: 1249.2386, usercpu_time_millis: 27.345, usercpu_time_millis_testing: 1.162, usercpu_time_millis_training: 26.183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9646, kappa: 0.9291, kb_relative_information_score: 2620.4266, mean_absolute_error: 0.1031, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9646, predictive_accuracy: 0.9646, prior_entropy: 0.9986, recall: 0.9646, relative_absolute_error: 0.2065, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1825, root_relative_squared_error: 0.3653, scimark_benchmark: 1269.7191, usercpu_time_millis: 18.212, usercpu_time_millis_testing: 1.454, usercpu_time_millis_training: 16.758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9966, kappa: 0.9931, kb_relative_information_score: 3149.427, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9966, predictive_accuracy: 0.9966, prior_entropy: 0.9986, recall: 0.9966, relative_absolute_error: 0.0166, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0546, root_relative_squared_error: 0.1094, scimark_benchmark: 1323.1771, usercpu_time_millis: 82.643, usercpu_time_millis_testing: 2.709, usercpu_time_millis_training: 79.934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, f_measure: 0.3583, kb_relative_information_score: 0.0203, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.2727, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1, scimark_benchmark: 1257.5678, usercpu_time_millis: 14.225, usercpu_time_millis_testing: 1.412, usercpu_time_millis_training: 12.813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9837, kappa: 0.9674, kb_relative_information_score: 3028.935, mean_absolute_error: 0.0292, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9837, predictive_accuracy: 0.9837, prior_entropy: 0.9986, recall: 0.9837, relative_absolute_error: 0.0585, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1047, root_relative_squared_error: 0.2097, scimark_benchmark: 1268.1701, usercpu_time_millis: 95.125, usercpu_time_millis_testing: 3.141, usercpu_time_millis_training: 91.984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9966, kappa: 0.9931, kb_relative_information_score: 3158.4281, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9966, predictive_accuracy: 0.9966, prior_entropy: 0.9986, recall: 0.9966, relative_absolute_error: 0.0131, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0527, root_relative_squared_error: 0.1056, scimark_benchmark: 1254.1228, usercpu_time_millis: 128.959, usercpu_time_millis_testing: 3.461, usercpu_time_millis_training: 125.498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9407, kappa: 0.8812, kb_relative_information_score: 2417.7547, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9422, predictive_accuracy: 0.9409, prior_entropy: 0.9986, recall: 0.9409, relative_absolute_error: 0.2805, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2153, root_relative_squared_error: 0.431, scimark_benchmark: 1262.852, usercpu_time_millis: 23.271, usercpu_time_millis_testing: 1.463, usercpu_time_millis_training: 21.808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9931, kappa: 0.9862, kb_relative_information_score: 3026.0914, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 0.9986, recall: 0.9931, relative_absolute_error: 0.0632, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0913, root_relative_squared_error: 0.1828, scimark_benchmark: 1256.4655, usercpu_time_millis: 49.494, usercpu_time_millis_testing: 2.674, usercpu_time_millis_training: 46.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9953, kappa: 0.9906, kb_relative_information_score: 3100.5881, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9953, predictive_accuracy: 0.9953, prior_entropy: 0.9986, recall: 0.9953, relative_absolute_error: 0.0348, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0733, root_relative_squared_error: 0.1468, scimark_benchmark: 1261.2335, usercpu_time_millis: 164.403, usercpu_time_millis_testing: 6.589, usercpu_time_millis_training: 157.814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9407, kappa: 0.8812, kb_relative_information_score: 1934.465, mean_absolute_error: 0.2287, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9422, predictive_accuracy: 0.9409, prior_entropy: 0.9986, recall: 0.9409, relative_absolute_error: 0.4582, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2667, root_relative_squared_error: 0.5339, scimark_benchmark: 1252.8151, usercpu_time_millis: 50.639, usercpu_time_millis_testing: 3.35, usercpu_time_millis_training: 47.289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9687, kappa: 0.9373, kb_relative_information_score: 2881.747, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9687, predictive_accuracy: 0.9687, prior_entropy: 0.9986, recall: 0.9687, relative_absolute_error: 0.1079, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1479, root_relative_squared_error: 0.296, scimark_benchmark: 1254.9284, usercpu_time_millis: 135.549, usercpu_time_millis_testing: 5.613, usercpu_time_millis_training: 129.936,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.9035, kappa: 0.807, kb_relative_information_score: 1873.6828, mean_absolute_error: 0.2341, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9112, predictive_accuracy: 0.9043, prior_entropy: 0.9986, recall: 0.9043, relative_absolute_error: 0.469, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2913, root_relative_squared_error: 0.5833, scimark_benchmark: 1255.1011, usercpu_time_millis: 94.658, usercpu_time_millis_testing: 3.824, usercpu_time_millis_training: 90.834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3583, kb_relative_information_score: 0.0375, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.2727, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1, scimark_benchmark: 1258.743, usercpu_time_millis: 15.491, usercpu_time_millis_testing: 1.605, usercpu_time_millis_training: 13.886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, f_measure: 0.9115, kappa: 0.8228, kb_relative_information_score: 496.9983, mean_absolute_error: 0.4401, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9182, predictive_accuracy: 0.9121, prior_entropy: 0.9986, recall: 0.9121, relative_absolute_error: 0.8819, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4436, root_relative_squared_error: 0.8881, scimark_benchmark: 1242.2426, usercpu_time_millis: 15.089, usercpu_time_millis_testing: 1.67, usercpu_time_millis_training: 13.419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9467, kappa: 0.8931, kb_relative_information_score: 1123.4022, mean_absolute_error: 0.3555, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9483, predictive_accuracy: 0.9468, prior_entropy: 0.9986, recall: 0.9468, relative_absolute_error: 0.7124, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3668, root_relative_squared_error: 0.7343, scimark_benchmark: 1246.4007, usercpu_time_millis: 16.181, usercpu_time_millis_testing: 1.438, usercpu_time_millis_training: 14.743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9916, kappa: 0.9831, kb_relative_information_score: 2963.0193, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9916, predictive_accuracy: 0.9916, prior_entropy: 0.9986, recall: 0.9916, relative_absolute_error: 0.0882, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.101, root_relative_squared_error: 0.2022, scimark_benchmark: 1230.9653, usercpu_time_millis: 172.179, usercpu_time_millis_testing: 9.401, usercpu_time_millis_training: 162.778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9956, kappa: 0.9912, kb_relative_information_score: 3116.8995, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9956, predictive_accuracy: 0.9956, prior_entropy: 0.9986, recall: 0.9956, relative_absolute_error: 0.0289, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0666, root_relative_squared_error: 0.1333, scimark_benchmark: 1261.4851, usercpu_time_millis: 175.049, usercpu_time_millis_testing: 5.909, usercpu_time_millis_training: 169.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9912, kappa: 0.9824, kb_relative_information_score: 3070.1743, mean_absolute_error: 0.0223, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9913, predictive_accuracy: 0.9912, prior_entropy: 0.9986, recall: 0.9912, relative_absolute_error: 0.0447, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0903, root_relative_squared_error: 0.1809, scimark_benchmark: 1276.9314, usercpu_time_millis: 177.083, usercpu_time_millis_testing: 5.877, usercpu_time_millis_training: 171.206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, f_measure: 0.3583, kb_relative_information_score: 0.0161, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.2727, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1, scimark_benchmark: 1271.7769, usercpu_time_millis: 22.659, usercpu_time_millis_testing: 2.232, usercpu_time_millis_training: 20.427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9562, kappa: 0.9123, kb_relative_information_score: 2757.8446, mean_absolute_error: 0.0729, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9567, predictive_accuracy: 0.9562, prior_entropy: 0.9986, recall: 0.9562, relative_absolute_error: 0.146, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1823, root_relative_squared_error: 0.3649, scimark_benchmark: 1261.2765, usercpu_time_millis: 150.074, usercpu_time_millis_testing: 5.057, usercpu_time_millis_training: 145.017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9812, kappa: 0.9624, kb_relative_information_score: 2517.1851, mean_absolute_error: 0.1286, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9813, predictive_accuracy: 0.9812, prior_entropy: 0.9986, recall: 0.9812, relative_absolute_error: 0.2578, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1694, root_relative_squared_error: 0.3392, scimark_benchmark: 1269.7653, usercpu_time_millis: 47.691, usercpu_time_millis_testing: 3.59, usercpu_time_millis_training: 44.101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3583, kb_relative_information_score: -0.0593, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.2727, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1, scimark_benchmark: 1265.1688, usercpu_time_millis: 24.211, usercpu_time_millis_testing: 2.852, usercpu_time_millis_training: 21.359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, f_measure: 0.3583, kb_relative_information_score: -0.035, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.2727, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1, scimark_benchmark: 1279.0231, usercpu_time_millis: 12.331, usercpu_time_millis_testing: 1.082, usercpu_time_millis_training: 11.249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9684, kappa: 0.9367, kb_relative_information_score: 2446.277, mean_absolute_error: 0.139, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9684, predictive_accuracy: 0.9684, prior_entropy: 0.9986, recall: 0.9684, relative_absolute_error: 0.2785, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1897, root_relative_squared_error: 0.3797, scimark_benchmark: 1261.6991, usercpu_time_millis: 78.331, usercpu_time_millis_testing: 4.65, usercpu_time_millis_training: 73.681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9712, kappa: 0.9423, kb_relative_information_score: 2780.2202, mean_absolute_error: 0.076, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9713, predictive_accuracy: 0.9712, prior_entropy: 0.9986, recall: 0.9712, relative_absolute_error: 0.1523, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1454, root_relative_squared_error: 0.2911, scimark_benchmark: 1273.3225, usercpu_time_millis: 85.183, usercpu_time_millis_testing: 3.252, usercpu_time_millis_training: 81.931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9966, kappa: 0.9931, kb_relative_information_score: 3105.6303, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9966, predictive_accuracy: 0.9966, prior_entropy: 0.9986, recall: 0.9966, relative_absolute_error: 0.0335, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0715, root_relative_squared_error: 0.1432, scimark_benchmark: 1252.1764, usercpu_time_millis: 144.627, usercpu_time_millis_testing: 4.572, usercpu_time_millis_training: 140.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9947, kappa: 0.9893, kb_relative_information_score: 3091.8003, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9947, predictive_accuracy: 0.9947, prior_entropy: 0.9986, recall: 0.9947, relative_absolute_error: 0.0378, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0775, root_relative_squared_error: 0.1551, scimark_benchmark: 1246.4301, usercpu_time_millis: 43.774, usercpu_time_millis_testing: 2.043, usercpu_time_millis_training: 41.731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9959, kappa: 0.9919, kb_relative_information_score: 3126.0519, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9959, predictive_accuracy: 0.9959, prior_entropy: 0.9986, recall: 0.9959, relative_absolute_error: 0.0254, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0671, root_relative_squared_error: 0.1343, scimark_benchmark: 1223.2952, usercpu_time_millis: 47.577, usercpu_time_millis_testing: 1.249, usercpu_time_millis_training: 46.328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.989, kappa: 0.9781, kb_relative_information_score: 2791.4718, mean_absolute_error: 0.0779, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9891, predictive_accuracy: 0.989, prior_entropy: 0.9986, recall: 0.989, relative_absolute_error: 0.1561, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1242, root_relative_squared_error: 0.2486, scimark_benchmark: 1264.7174, usercpu_time_millis: 155.521, usercpu_time_millis_testing: 10.785, usercpu_time_millis_training: 144.736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9953, kappa: 0.9906, kb_relative_information_score: 3097.1936, mean_absolute_error: 0.018, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9953, predictive_accuracy: 0.9953, prior_entropy: 0.9986, recall: 0.9953, relative_absolute_error: 0.036, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0776, root_relative_squared_error: 0.1554, scimark_benchmark: 1273.4697, usercpu_time_millis: 76.433, usercpu_time_millis_testing: 2.072, usercpu_time_millis_training: 74.361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, f_measure: 0.3583, kb_relative_information_score: -0.2241, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.2727, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1, scimark_benchmark: 1235.7781, usercpu_time_millis: 4.768, usercpu_time_millis_testing: 0.433, usercpu_time_millis_training: 4.335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3583, kb_relative_information_score: -0.2118, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.2727, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1, scimark_benchmark: 1247.9159, usercpu_time_millis: 3.106, usercpu_time_millis_testing: 0.241, usercpu_time_millis_training: 2.865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9934, kappa: 0.9868, kb_relative_information_score: 3077.8967, mean_absolute_error: 0.0215, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9934, predictive_accuracy: 0.9934, prior_entropy: 0.9986, recall: 0.9934, relative_absolute_error: 0.0431, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0831, root_relative_squared_error: 0.1664, scimark_benchmark: 1261.3835, usercpu_time_millis: 121.089, usercpu_time_millis_testing: 4.013, usercpu_time_millis_training: 117.076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8927, f_measure: 0.6233, kappa: 0.3396, kb_relative_information_score: 682.5196, mean_absolute_error: 0.4003, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.8015, predictive_accuracy: 0.6605, prior_entropy: 0.9986, recall: 0.6605, relative_absolute_error: 0.8022, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4369, root_relative_squared_error: 0.8747, scimark_benchmark: 1259.9016, usercpu_time_millis: 12.807, usercpu_time_millis_testing: 0.655, usercpu_time_millis_training: 12.152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.995, kappa: 0.99, kb_relative_information_score: 3073.5975, mean_absolute_error: 0.0231, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.995, predictive_accuracy: 0.995, prior_entropy: 0.9986, recall: 0.995, relative_absolute_error: 0.0463, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0748, root_relative_squared_error: 0.1497, scimark_benchmark: 1216.2039, usercpu_time_millis: 139.699, usercpu_time_millis_testing: 7.01, usercpu_time_millis_training: 132.689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9643, kappa: 0.9286, kb_relative_information_score: 2739.7874, mean_absolute_error: 0.0776, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9645, predictive_accuracy: 0.9643, prior_entropy: 0.9986, recall: 0.9643, relative_absolute_error: 0.1555, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1792, root_relative_squared_error: 0.3588, scimark_benchmark: 1213.5002, usercpu_time_millis: 139.099, usercpu_time_millis_testing: 4.038, usercpu_time_millis_training: 135.061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9753, kappa: 0.9505, kb_relative_information_score: 2776.0021, mean_absolute_error: 0.0773, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9753, predictive_accuracy: 0.9753, prior_entropy: 0.9986, recall: 0.9753, relative_absolute_error: 0.1549, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1435, root_relative_squared_error: 0.2873, scimark_benchmark: 1249.1482, usercpu_time_millis: 7.183, usercpu_time_millis_testing: 0.612, usercpu_time_millis_training: 6.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9931, kappa: 0.9862, kb_relative_information_score: 3096.0799, mean_absolute_error: 0.0177, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9932, predictive_accuracy: 0.9931, prior_entropy: 0.9986, recall: 0.9931, relative_absolute_error: 0.0355, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0819, root_relative_squared_error: 0.164, scimark_benchmark: 1256.541, usercpu_time_millis: 136.995, usercpu_time_millis_testing: 3.582, usercpu_time_millis_training: 133.413,

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