Task
Supervised Classification on kr-vs-kp

Supervised Classification on kr-vs-kp

Task 233 Supervised Classification kr-vs-kp 346 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9715, kappa: 0.9427, kb_relative_information_score: 718.3404, mean_absolute_error: 0.1862, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.9716, predictive_accuracy: 0.9715, prior_entropy: 0.9986, recall: 0.9715, relative_absolute_error: 0.3736, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.2244, root_relative_squared_error: 0.4497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9886, kappa: 0.9771, kb_relative_information_score: 1020.8814, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.9886, predictive_accuracy: 0.9886, prior_entropy: 0.9986, recall: 0.9886, relative_absolute_error: 0.0323, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.1043, root_relative_squared_error: 0.2091, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9649, kappa: 0.9294, kb_relative_information_score: 847.6122, mean_absolute_error: 0.1121, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.9649, predictive_accuracy: 0.9649, prior_entropy: 0.9986, recall: 0.9649, relative_absolute_error: 0.2248, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.1874, root_relative_squared_error: 0.3756, scimark_benchmark: 972.587, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9649, kappa: 0.9294, kb_relative_information_score: 872.4919, mean_absolute_error: 0.0992, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.9649, predictive_accuracy: 0.9649, prior_entropy: 0.9986, recall: 0.9649, relative_absolute_error: 0.199, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.1884, root_relative_squared_error: 0.3777, scimark_benchmark: 851.2074, usercpu_time_millis: 850, usercpu_time_millis_training: 850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.9411, kappa: 0.8814, kb_relative_information_score: 927.9005, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.9418, predictive_accuracy: 0.9412, prior_entropy: 0.9986, recall: 0.9412, relative_absolute_error: 0.118, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.2425, root_relative_squared_error: 0.4861, scimark_benchmark: 941.6675, usercpu_time_millis: 7340, usercpu_time_millis_testing: 2920, usercpu_time_millis_training: 4420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.9106, kappa: 0.8201, kb_relative_information_score: 698.3796, mean_absolute_error: 0.1828, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.9115, predictive_accuracy: 0.9108, prior_entropy: 0.9986, recall: 0.9108, relative_absolute_error: 0.3667, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.2701, root_relative_squared_error: 0.5414, scimark_benchmark: 941.6675, usercpu_time_millis: 80, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.9106, kappa: 0.8201, kb_relative_information_score: 698.3796, mean_absolute_error: 0.1828, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.9115, predictive_accuracy: 0.9108, prior_entropy: 0.9986, recall: 0.9108, relative_absolute_error: 0.3667, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.2701, root_relative_squared_error: 0.5414, scimark_benchmark: 938.191, usercpu_time_millis: 120, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9886, kappa: 0.9771, kb_relative_information_score: 1003.7752, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.9886, predictive_accuracy: 0.9886, prior_entropy: 0.9986, recall: 0.9886, relative_absolute_error: 0.0518, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.1037, root_relative_squared_error: 0.2078, scimark_benchmark: 941.6675, usercpu_time_millis: 540, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.9106, kappa: 0.8201, kb_relative_information_score: 698.3796, mean_absolute_error: 0.1828, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.9115, predictive_accuracy: 0.9108, prior_entropy: 0.9986, recall: 0.9108, relative_absolute_error: 0.3667, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.2701, root_relative_squared_error: 0.5414, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9896, kappa: 0.979, kb_relative_information_score: 936.3976, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.9896, predictive_accuracy: 0.9896, prior_entropy: 0.9986, recall: 0.9896, relative_absolute_error: 0.1337, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.1213, root_relative_squared_error: 0.2432, scimark_benchmark: 931.771, usercpu_time_millis: 1080, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.9411, kappa: 0.8814, kb_relative_information_score: 927.9005, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.9418, predictive_accuracy: 0.9412, prior_entropy: 0.9986, recall: 0.9412, relative_absolute_error: 0.118, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.2425, root_relative_squared_error: 0.4861, scimark_benchmark: 937.5117, usercpu_time_millis: 5040, usercpu_time_millis_testing: 1730, usercpu_time_millis_training: 3310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9801, kappa: 0.9599, kb_relative_information_score: 988.8765, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.9803, predictive_accuracy: 0.9801, prior_entropy: 0.9986, recall: 0.9801, relative_absolute_error: 0.0658, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.1302, root_relative_squared_error: 0.261, scimark_benchmark: 938.5498, usercpu_time_millis: 8090, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 8070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9896, kappa: 0.979, kb_relative_information_score: 936.3976, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.9896, predictive_accuracy: 0.9896, prior_entropy: 0.9986, recall: 0.9896, relative_absolute_error: 0.1337, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.1213, root_relative_squared_error: 0.2432, scimark_benchmark: 943.1009, usercpu_time_millis: 1050, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9886, kappa: 0.9771, kb_relative_information_score: 1020.8814, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.9886, predictive_accuracy: 0.9886, prior_entropy: 0.9986, recall: 0.9886, relative_absolute_error: 0.0323, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.1043, root_relative_squared_error: 0.2091, scimark_benchmark: 819.5729, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9649, kappa: 0.9294, kb_relative_information_score: 847.6122, mean_absolute_error: 0.1121, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.9649, predictive_accuracy: 0.9649, prior_entropy: 0.9986, recall: 0.9649, relative_absolute_error: 0.2248, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.1874, root_relative_squared_error: 0.3756, scimark_benchmark: 935.2002, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9649, kappa: 0.9294, kb_relative_information_score: 872.4919, mean_absolute_error: 0.0992, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.9649, predictive_accuracy: 0.9649, prior_entropy: 0.9986, recall: 0.9649, relative_absolute_error: 0.199, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.1884, root_relative_squared_error: 0.3777, scimark_benchmark: 936.2574, usercpu_time_millis: 710, usercpu_time_millis_training: 710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.9411, kappa: 0.8814, kb_relative_information_score: 927.9005, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.9418, predictive_accuracy: 0.9412, prior_entropy: 0.9986, recall: 0.9412, relative_absolute_error: 0.118, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.2425, root_relative_squared_error: 0.4861, scimark_benchmark: 859.5223, usercpu_time_millis: 4610, usercpu_time_millis_testing: 1480, usercpu_time_millis_training: 3130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.9106, kappa: 0.8201, kb_relative_information_score: 698.3796, mean_absolute_error: 0.1828, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.9115, predictive_accuracy: 0.9108, prior_entropy: 0.9986, recall: 0.9108, relative_absolute_error: 0.3667, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.2701, root_relative_squared_error: 0.5414, scimark_benchmark: 903.2737, usercpu_time_millis: 80, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.9106, kappa: 0.8201, kb_relative_information_score: 698.3796, mean_absolute_error: 0.1828, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.9115, predictive_accuracy: 0.9108, prior_entropy: 0.9986, recall: 0.9108, relative_absolute_error: 0.3667, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.2701, root_relative_squared_error: 0.5414, scimark_benchmark: 933.3455, usercpu_time_millis: 80, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.9106, kappa: 0.8201, kb_relative_information_score: 698.3796, mean_absolute_error: 0.1828, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.9115, predictive_accuracy: 0.9108, prior_entropy: 0.9986, recall: 0.9108, relative_absolute_error: 0.3667, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.2701, root_relative_squared_error: 0.5414, scimark_benchmark: 903.2737, usercpu_time_millis: 90, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9886, kappa: 0.9771, kb_relative_information_score: 1003.7752, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.9886, predictive_accuracy: 0.9886, prior_entropy: 0.9986, recall: 0.9886, relative_absolute_error: 0.0518, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.1037, root_relative_squared_error: 0.2078, scimark_benchmark: 941.4991, usercpu_time_millis: 330, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9886, kappa: 0.9771, kb_relative_information_score: 972.4346, mean_absolute_error: 0.0448, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.9886, predictive_accuracy: 0.9886, prior_entropy: 0.9986, recall: 0.9886, relative_absolute_error: 0.0898, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.1128, root_relative_squared_error: 0.226, scimark_benchmark: 730.6551, usercpu_time_millis: 445580, usercpu_time_millis_testing: 3150, usercpu_time_millis_training: 442430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.9106, kappa: 0.8201, kb_relative_information_score: 698.3796, mean_absolute_error: 0.1828, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.9115, predictive_accuracy: 0.9108, prior_entropy: 0.9986, recall: 0.9108, relative_absolute_error: 0.3667, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.2701, root_relative_squared_error: 0.5414, scimark_benchmark: 944.0133, usercpu_time_millis: 140, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9801, kappa: 0.9599, kb_relative_information_score: 988.8765, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.9803, predictive_accuracy: 0.9801, prior_entropy: 0.9986, recall: 0.9801, relative_absolute_error: 0.0658, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.1302, root_relative_squared_error: 0.261, scimark_benchmark: 936.3213, usercpu_time_millis: 8230, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 8210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9896, kappa: 0.979, kb_relative_information_score: 936.3976, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.9896, predictive_accuracy: 0.9896, prior_entropy: 0.9986, recall: 0.9896, relative_absolute_error: 0.1337, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.1213, root_relative_squared_error: 0.2432, scimark_benchmark: 936.9595, usercpu_time_millis: 820, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9924, kappa: 0.9847, kb_relative_information_score: 958.5318, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.9924, predictive_accuracy: 0.9924, prior_entropy: 0.9986, recall: 0.9924, relative_absolute_error: 0.1082, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.1153, root_relative_squared_error: 0.231, scimark_benchmark: 873.7533, usercpu_time_millis: 99700, usercpu_time_millis_testing: 46290, usercpu_time_millis_training: 53410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9905, kappa: 0.9809, kb_relative_information_score: 959.6217, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 0.9986, recall: 0.9905, relative_absolute_error: 0.1063, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.1159, root_relative_squared_error: 0.2324, scimark_benchmark: 934.695, usercpu_time_millis: 35850, usercpu_time_millis_testing: 14660, usercpu_time_millis_training: 21190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9924, kappa: 0.9847, kb_relative_information_score: 961.5546, mean_absolute_error: 0.0521, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.9924, predictive_accuracy: 0.9924, prior_entropy: 0.9986, recall: 0.9924, relative_absolute_error: 0.1046, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.113, root_relative_squared_error: 0.2264, scimark_benchmark: 944.235, usercpu_time_millis: 15970, usercpu_time_millis_testing: 4650, usercpu_time_millis_training: 11320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9924, kappa: 0.9847, kb_relative_information_score: 939.7339, mean_absolute_error: 0.0639, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.9924, predictive_accuracy: 0.9924, prior_entropy: 0.9986, recall: 0.9924, relative_absolute_error: 0.1282, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.1289, root_relative_squared_error: 0.2583, scimark_benchmark: 939.7883, usercpu_time_millis: 9390, usercpu_time_millis_testing: 3030, usercpu_time_millis_training: 6360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9886, kappa: 0.9771, kb_relative_information_score: 981.3234, mean_absolute_error: 0.0403, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.9886, predictive_accuracy: 0.9886, prior_entropy: 0.9986, recall: 0.9886, relative_absolute_error: 0.0809, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.1048, root_relative_squared_error: 0.2099, scimark_benchmark: 889.4922, usercpu_time_millis: 3420, usercpu_time_millis_testing: 670, usercpu_time_millis_training: 2750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9582, kappa: 0.916, kb_relative_information_score: 940.4919, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.9583, predictive_accuracy: 0.9583, prior_entropy: 0.9986, recall: 0.9583, relative_absolute_error: 0.1126, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.1712, root_relative_squared_error: 0.3432, scimark_benchmark: 929.0296, usercpu_time_millis: 150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9582, kappa: 0.916, kb_relative_information_score: 940.4919, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.9583, predictive_accuracy: 0.9583, prior_entropy: 0.9986, recall: 0.9583, relative_absolute_error: 0.1126, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.1712, root_relative_squared_error: 0.3432, scimark_benchmark: 926.5859, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9582, kappa: 0.9161, kb_relative_information_score: 935.703, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.9583, predictive_accuracy: 0.9583, prior_entropy: 0.9986, recall: 0.9583, relative_absolute_error: 0.1176, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.1745, root_relative_squared_error: 0.3497, scimark_benchmark: 936.1714, usercpu_time_millis: 200, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9449, kappa: 0.8892, kb_relative_information_score: 900.313, mean_absolute_error: 0.0773, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.9451, predictive_accuracy: 0.945, prior_entropy: 0.9986, recall: 0.945, relative_absolute_error: 0.1552, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.1946, root_relative_squared_error: 0.39, scimark_benchmark: 926.5859, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8427, f_measure: 0.7656, kappa: 0.5411, kb_relative_information_score: 364.497, mean_absolute_error: 0.3441, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.8242, predictive_accuracy: 0.778, prior_entropy: 0.9986, recall: 0.778, relative_absolute_error: 0.6904, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3941, root_relative_squared_error: 0.7899, scimark_benchmark: 929.0296, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.9106, kappa: 0.8201, kb_relative_information_score: 698.3796, mean_absolute_error: 0.1828, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.9115, predictive_accuracy: 0.9108, prior_entropy: 0.9986, recall: 0.9108, relative_absolute_error: 0.3667, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.2701, root_relative_squared_error: 0.5414, scimark_benchmark: 1336.0954, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.9106, kappa: 0.8201, kb_relative_information_score: 698.3796, mean_absolute_error: 0.1828, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.9115, predictive_accuracy: 0.9108, prior_entropy: 0.9986, recall: 0.9108, relative_absolute_error: 0.3667, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.2701, root_relative_squared_error: 0.5414, scimark_benchmark: 1362.9924, usercpu_time_millis: 60, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, f_measure: 0.8738, kappa: 0.7463, kb_relative_information_score: 640.0804, mean_absolute_error: 0.2084, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.8738, predictive_accuracy: 0.8738, prior_entropy: 0.9986, recall: 0.8738, relative_absolute_error: 0.4182, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3061, root_relative_squared_error: 0.6135, scimark_benchmark: 1331.2559, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.9106, kappa: 0.8201, kb_relative_information_score: 698.3796, mean_absolute_error: 0.1828, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.9115, predictive_accuracy: 0.9108, prior_entropy: 0.9986, recall: 0.9108, relative_absolute_error: 0.3667, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.2701, root_relative_squared_error: 0.5414, scimark_benchmark: 1349.1517, usercpu_time_millis: 60, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.9106, kappa: 0.8201, kb_relative_information_score: 698.3796, mean_absolute_error: 0.1828, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.9115, predictive_accuracy: 0.9108, prior_entropy: 0.9986, recall: 0.9108, relative_absolute_error: 0.3667, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.2701, root_relative_squared_error: 0.5414, scimark_benchmark: 1303.5632, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.9106, kappa: 0.8201, kb_relative_information_score: 698.3796, mean_absolute_error: 0.1828, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.9115, predictive_accuracy: 0.9108, prior_entropy: 0.9986, recall: 0.9108, relative_absolute_error: 0.3667, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.2701, root_relative_squared_error: 0.5414, scimark_benchmark: 1347.6543, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, f_measure: 0.8738, kappa: 0.7463, kb_relative_information_score: 640.0804, mean_absolute_error: 0.2084, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.8738, predictive_accuracy: 0.8738, prior_entropy: 0.9986, recall: 0.8738, relative_absolute_error: 0.4182, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3061, root_relative_squared_error: 0.6135, scimark_benchmark: 1333.202, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.9106, kappa: 0.8201, kb_relative_information_score: 698.3796, mean_absolute_error: 0.1828, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.9115, predictive_accuracy: 0.9108, prior_entropy: 0.9986, recall: 0.9108, relative_absolute_error: 0.3667, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.2701, root_relative_squared_error: 0.5414, scimark_benchmark: 1340.9749, usercpu_time_millis: 50, usercpu_time_millis_testing: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.9106, kappa: 0.8201, kb_relative_information_score: 698.3796, mean_absolute_error: 0.1828, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.9115, predictive_accuracy: 0.9108, prior_entropy: 0.9986, recall: 0.9108, relative_absolute_error: 0.3667, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.2701, root_relative_squared_error: 0.5414, scimark_benchmark: 1333.202, usercpu_time_millis: 60, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9886, kappa: 0.9771, kb_relative_information_score: 1020.8814, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.9886, predictive_accuracy: 0.9886, prior_entropy: 0.9986, recall: 0.9886, relative_absolute_error: 0.0323, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.1043, root_relative_squared_error: 0.2091, scimark_benchmark: 1340.5125, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.9106, kappa: 0.8201, kb_relative_information_score: 698.3796, mean_absolute_error: 0.1828, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.9115, predictive_accuracy: 0.9108, prior_entropy: 0.9986, recall: 0.9108, relative_absolute_error: 0.3667, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.2701, root_relative_squared_error: 0.5414, scimark_benchmark: 1324.6442, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.9106, kappa: 0.8201, kb_relative_information_score: 698.3796, mean_absolute_error: 0.1828, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.9115, predictive_accuracy: 0.9108, prior_entropy: 0.9986, recall: 0.9108, relative_absolute_error: 0.3667, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.2701, root_relative_squared_error: 0.5414, scimark_benchmark: 1317.5857, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9886, kappa: 0.9771, kb_relative_information_score: 972.4346, mean_absolute_error: 0.0448, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.9886, predictive_accuracy: 0.9886, prior_entropy: 0.9986, recall: 0.9886, relative_absolute_error: 0.0898, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.1128, root_relative_squared_error: 0.226, scimark_benchmark: 1349.1517, usercpu_time_millis: 336940, usercpu_time_millis_testing: 2860, usercpu_time_millis_training: 334080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.9411, kappa: 0.8814, kb_relative_information_score: 927.9005, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.9418, predictive_accuracy: 0.9412, prior_entropy: 0.9986, recall: 0.9412, relative_absolute_error: 0.118, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.2425, root_relative_squared_error: 0.4861, scimark_benchmark: 1310.6554, usercpu_time_millis: 3160, usercpu_time_millis_testing: 1260, usercpu_time_millis_training: 1900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9886, kappa: 0.9771, kb_relative_information_score: 972.4346, mean_absolute_error: 0.0448, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.9886, predictive_accuracy: 0.9886, prior_entropy: 0.9986, recall: 0.9886, relative_absolute_error: 0.0898, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.1128, root_relative_squared_error: 0.226, scimark_benchmark: 1343.3311, usercpu_time_millis: 360980, usercpu_time_millis_testing: 2980, usercpu_time_millis_training: 358000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9896, kappa: 0.979, kb_relative_information_score: 936.3976, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.9896, predictive_accuracy: 0.9896, prior_entropy: 0.9986, recall: 0.9896, relative_absolute_error: 0.1337, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.1213, root_relative_squared_error: 0.2432, scimark_benchmark: 1345.6844, usercpu_time_millis: 520, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9649, kappa: 0.9294, kb_relative_information_score: 847.6122, mean_absolute_error: 0.1121, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.9649, predictive_accuracy: 0.9649, prior_entropy: 0.9986, recall: 0.9649, relative_absolute_error: 0.2248, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.1874, root_relative_squared_error: 0.3756, scimark_benchmark: 1358.6198, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9649, kappa: 0.9294, kb_relative_information_score: 872.4919, mean_absolute_error: 0.0992, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.9649, predictive_accuracy: 0.9649, prior_entropy: 0.9986, recall: 0.9649, relative_absolute_error: 0.199, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.1884, root_relative_squared_error: 0.3777, scimark_benchmark: 1345.6844, usercpu_time_millis: 730, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.9411, kappa: 0.8814, kb_relative_information_score: 927.9005, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.9418, predictive_accuracy: 0.9412, prior_entropy: 0.9986, recall: 0.9412, relative_absolute_error: 0.118, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.2425, root_relative_squared_error: 0.4861, scimark_benchmark: 1321.8321, usercpu_time_millis: 4350, usercpu_time_millis_testing: 1400, usercpu_time_millis_training: 2950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, f_measure: 0.8738, kappa: 0.7463, kb_relative_information_score: 640.0804, mean_absolute_error: 0.2084, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.8738, predictive_accuracy: 0.8738, prior_entropy: 0.9986, recall: 0.8738, relative_absolute_error: 0.4182, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3061, root_relative_squared_error: 0.6135, scimark_benchmark: 1326.2019, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.9106, kappa: 0.8201, kb_relative_information_score: 698.3796, mean_absolute_error: 0.1828, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.9115, predictive_accuracy: 0.9108, prior_entropy: 0.9986, recall: 0.9108, relative_absolute_error: 0.3667, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.2701, root_relative_squared_error: 0.5414, scimark_benchmark: 1337.1928, usercpu_time_millis: 50, usercpu_time_millis_testing: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.9106, kappa: 0.8201, kb_relative_information_score: 698.3796, mean_absolute_error: 0.1828, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.9115, predictive_accuracy: 0.9108, prior_entropy: 0.9986, recall: 0.9108, relative_absolute_error: 0.3667, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.2701, root_relative_squared_error: 0.5414, scimark_benchmark: 1333.0982, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.9106, kappa: 0.8201, kb_relative_information_score: 698.3796, mean_absolute_error: 0.1828, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.9115, predictive_accuracy: 0.9108, prior_entropy: 0.9986, recall: 0.9108, relative_absolute_error: 0.3667, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.2701, root_relative_squared_error: 0.5414, scimark_benchmark: 1342.2845, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.9106, kappa: 0.8201, kb_relative_information_score: 698.3796, mean_absolute_error: 0.1828, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.9115, predictive_accuracy: 0.9108, prior_entropy: 0.9986, recall: 0.9108, relative_absolute_error: 0.3667, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.2701, root_relative_squared_error: 0.5414, scimark_benchmark: 1317.6232, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9801, kappa: 0.9599, kb_relative_information_score: 988.8765, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.9803, predictive_accuracy: 0.9801, prior_entropy: 0.9986, recall: 0.9801, relative_absolute_error: 0.0658, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.1302, root_relative_squared_error: 0.261, scimark_benchmark: 1350.8432, usercpu_time_millis: 11190, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 11120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9886, kappa: 0.9771, kb_relative_information_score: 1020.8814, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.9886, predictive_accuracy: 0.9886, prior_entropy: 0.9986, recall: 0.9886, relative_absolute_error: 0.0323, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.1043, root_relative_squared_error: 0.2091, scimark_benchmark: 1331.0047, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.9411, kappa: 0.8814, kb_relative_information_score: 927.9005, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.9418, predictive_accuracy: 0.9412, prior_entropy: 0.9986, recall: 0.9412, relative_absolute_error: 0.118, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.2425, root_relative_squared_error: 0.4861, scimark_benchmark: 1345.9182, usercpu_time_millis: 9150, usercpu_time_millis_testing: 1350, usercpu_time_millis_training: 7800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.9411, kappa: 0.8814, kb_relative_information_score: 927.9005, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.9418, predictive_accuracy: 0.9412, prior_entropy: 0.9986, recall: 0.9412, relative_absolute_error: 0.118, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.2425, root_relative_squared_error: 0.4861, scimark_benchmark: 1347.7267, usercpu_time_millis: 4480, usercpu_time_millis_testing: 1360, usercpu_time_millis_training: 3120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.9411, kappa: 0.8814, kb_relative_information_score: 927.9005, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.9418, predictive_accuracy: 0.9412, prior_entropy: 0.9986, recall: 0.9412, relative_absolute_error: 0.118, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.2425, root_relative_squared_error: 0.4861, scimark_benchmark: 1352.3373, usercpu_time_millis: 4890, usercpu_time_millis_testing: 1360, usercpu_time_millis_training: 3530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.9106, kappa: 0.8201, kb_relative_information_score: 698.3796, mean_absolute_error: 0.1828, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.9115, predictive_accuracy: 0.9108, prior_entropy: 0.9986, recall: 0.9108, relative_absolute_error: 0.3667, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.2701, root_relative_squared_error: 0.5414, scimark_benchmark: 1321.8321, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 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

OpenML bootcamp

From your own software

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

OpenML APIs