Task
Supervised Classification on analcatdata_authorship

Supervised Classification on analcatdata_authorship

Task 3549 Supervised Classification analcatdata_authorship 23487 runs submitted
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  • OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_50 study_7 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9312, build_cpu_time: 0.0113, build_memory: 1272061321.3318, f_measure: 0.9037, kappa: 0.8599, kb_relative_information_score: 728.0139, mean_absolute_error: 0.0482, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9039, predictive_accuracy: 0.9037, prior_entropy: 1.7898, recall: 0.9037, relative_absolute_error: 0.14, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2194, root_relative_squared_error: 0.5293, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9312, build_cpu_time: 0.0253, build_memory: 33443425.6076, f_measure: 0.9037, kappa: 0.8599, kb_relative_information_score: 728.0139, mean_absolute_error: 0.0482, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9039, predictive_accuracy: 0.9037, prior_entropy: 1.7898, recall: 0.9037, relative_absolute_error: 0.14, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2194, root_relative_squared_error: 0.5293, scimark_benchmark: 923.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9312, build_cpu_time: 0.0137, build_memory: 921824668.1189, f_measure: 0.9037, kappa: 0.8599, kb_relative_information_score: 728.0139, mean_absolute_error: 0.0482, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9039, predictive_accuracy: 0.9037, prior_entropy: 1.7898, recall: 0.9037, relative_absolute_error: 0.14, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2194, root_relative_squared_error: 0.5293, scimark_benchmark: 939.8609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, build_cpu_time: 1.6282, build_memory: 487399251.4435, f_measure: 0.9881, kappa: 0.9827, kb_relative_information_score: 824.9735, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9882, predictive_accuracy: 0.9881, prior_entropy: 1.7898, recall: 0.9881, relative_absolute_error: 0.0186, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0745, root_relative_squared_error: 0.1796, scimark_benchmark: 918.9027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, build_cpu_time: 1.1769, build_memory: 944242882.9584, f_measure: 0.9869, kappa: 0.981, kb_relative_information_score: 824.2376, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.987, predictive_accuracy: 0.9869, prior_entropy: 1.7898, recall: 0.9869, relative_absolute_error: 0.0196, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0777, root_relative_squared_error: 0.1874, scimark_benchmark: 947.2691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, build_cpu_time: 1.041, build_memory: 1296366457.3318, f_measure: 0.9857, kappa: 0.9792, kb_relative_information_score: 822.9954, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9858, predictive_accuracy: 0.9857, prior_entropy: 1.7898, recall: 0.9857, relative_absolute_error: 0.0212, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0797, root_relative_squared_error: 0.1924, scimark_benchmark: 916.3022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, build_cpu_time: 0.4482, build_memory: 216614778.4542, f_measure: 0.9857, kappa: 0.9792, kb_relative_information_score: 822.504, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9858, predictive_accuracy: 0.9857, prior_entropy: 1.7898, recall: 0.9857, relative_absolute_error: 0.0222, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0783, root_relative_squared_error: 0.1889, scimark_benchmark: 940.159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, build_cpu_time: 0.2286, build_memory: 672830390.7158, f_measure: 0.9774, kappa: 0.9671, kb_relative_information_score: 813.8294, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9775, predictive_accuracy: 0.9774, prior_entropy: 1.7898, recall: 0.9774, relative_absolute_error: 0.0343, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0965, root_relative_squared_error: 0.2328, scimark_benchmark: 939.1359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, build_cpu_time: 0.0638, build_memory: 1193072745.0464, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 368.8079, mean_absolute_error: 0.2504, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9953, predictive_accuracy: 0.9952, prior_entropy: 1.7898, recall: 0.9952, relative_absolute_error: 0.7282, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3123, root_relative_squared_error: 0.7533, scimark_benchmark: 940.9906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, build_cpu_time: 0.0702, build_memory: 720419043.6718, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 368.8079, mean_absolute_error: 0.2504, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9953, predictive_accuracy: 0.9952, prior_entropy: 1.7898, recall: 0.9952, relative_absolute_error: 0.7282, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3123, root_relative_squared_error: 0.7533, scimark_benchmark: 874.2668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, build_cpu_time: 0.0865, build_memory: 1673398520.5993, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 368.8079, mean_absolute_error: 0.2504, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9953, predictive_accuracy: 0.9952, prior_entropy: 1.7898, recall: 0.9952, relative_absolute_error: 0.7282, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3123, root_relative_squared_error: 0.7533, scimark_benchmark: 923.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, build_cpu_time: 0.0682, build_memory: 761145395.5672, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 368.8079, mean_absolute_error: 0.2504, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9953, predictive_accuracy: 0.9952, prior_entropy: 1.7898, recall: 0.9952, relative_absolute_error: 0.7282, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3123, root_relative_squared_error: 0.7533, scimark_benchmark: 892.3025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9916, kappa: 0.9879, kb_relative_information_score: 367.6271, mean_absolute_error: 0.2508, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9917, predictive_accuracy: 0.9917, prior_entropy: 1.7898, recall: 0.9917, relative_absolute_error: 0.7293, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3131, root_relative_squared_error: 0.7552, scimark_benchmark: 931.4202, usercpu_time_millis: 1610, usercpu_time_millis_testing: 1060, usercpu_time_millis_training: 550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9988, kappa: 0.9983, kb_relative_information_score: 838.2454, mean_absolute_error: 0.0009, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 1.7898, recall: 0.9988, relative_absolute_error: 0.0026, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0244, root_relative_squared_error: 0.0588, scimark_benchmark: 915.2795, usercpu_time_millis: 7000, usercpu_time_millis_testing: 5580, usercpu_time_millis_training: 1420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9929, kappa: 0.9896, kb_relative_information_score: 830.4333, mean_absolute_error: 0.0036, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9929, predictive_accuracy: 0.9929, prior_entropy: 1.7898, recall: 0.9929, relative_absolute_error: 0.0104, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0597, root_relative_squared_error: 0.1441, scimark_benchmark: 1109.8407, usercpu_time_millis: 13770, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 13670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9917, kappa: 0.9879, kb_relative_information_score: 828.9732, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9917, predictive_accuracy: 0.9917, prior_entropy: 1.7898, recall: 0.9917, relative_absolute_error: 0.0121, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0643, root_relative_squared_error: 0.1551, scimark_benchmark: 945.3151, usercpu_time_millis: 6280, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 6230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9338, f_measure: 0.774, kappa: 0.7053, kb_relative_information_score: 361.1709, mean_absolute_error: 0.2444, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.7561, predictive_accuracy: 0.8002, prior_entropy: 1.7898, recall: 0.8002, relative_absolute_error: 0.7108, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3285, root_relative_squared_error: 0.7925, scimark_benchmark: 901.0726, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9703, kappa: 0.9567, kb_relative_information_score: 726.4322, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9704, predictive_accuracy: 0.9703, prior_entropy: 1.7898, recall: 0.9703, relative_absolute_error: 0.1905, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1322, root_relative_squared_error: 0.3188, scimark_benchmark: 933.8635, usercpu_time_millis: 6110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 6100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9725, kappa: 0.9601, kb_relative_information_score: 775.6481, mean_absolute_error: 0.0353, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.973, predictive_accuracy: 0.9727, prior_entropy: 1.7898, recall: 0.9727, relative_absolute_error: 0.1026, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.116, root_relative_squared_error: 0.2797, scimark_benchmark: 904.3001, usercpu_time_millis: 440, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2064, kb_relative_information_score: 111.2028, mean_absolute_error: 0.3115, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.1421, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.906, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.5582, root_relative_squared_error: 1.3464, scimark_benchmark: 947.9494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.994, kappa: 0.9913, kb_relative_information_score: 818.7161, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 1.7898, recall: 0.9941, relative_absolute_error: 0.0361, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0583, root_relative_squared_error: 0.1407, scimark_benchmark: 947.9494, usercpu_time_millis: 460, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4924, f_measure: 0.2064, kb_relative_information_score: 0.4529, mean_absolute_error: 0.3439, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.1421, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1, scimark_benchmark: 910.8389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9881, kappa: 0.9827, kb_relative_information_score: 741.4381, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9882, predictive_accuracy: 0.9881, prior_entropy: 1.7898, recall: 0.9881, relative_absolute_error: 0.1753, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1243, root_relative_squared_error: 0.2998, scimark_benchmark: 902.4773, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4924, f_measure: 0.2064, kb_relative_information_score: 0.4529, mean_absolute_error: 0.3439, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.1421, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1, scimark_benchmark: 940.2922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.994, kappa: 0.9913, kb_relative_information_score: 819.2742, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 1.7898, recall: 0.9941, relative_absolute_error: 0.0353, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0573, root_relative_squared_error: 0.1383, scimark_benchmark: 902.4773, usercpu_time_millis: 390, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9941, kappa: 0.9913, kb_relative_information_score: 829.3742, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 1.7898, recall: 0.9941, relative_absolute_error: 0.0161, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0456, root_relative_squared_error: 0.11, scimark_benchmark: 902.4773, usercpu_time_millis: 790, usercpu_time_millis_training: 790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 831.2291, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9953, predictive_accuracy: 0.9952, prior_entropy: 1.7898, recall: 0.9952, relative_absolute_error: 0.0121, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0465, root_relative_squared_error: 0.1122, scimark_benchmark: 924.6116, usercpu_time_millis: 1690, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9917, kappa: 0.9879, kb_relative_information_score: 829.7582, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9917, predictive_accuracy: 0.9917, prior_entropy: 1.7898, recall: 0.9917, relative_absolute_error: 0.0134, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0619, root_relative_squared_error: 0.1492, scimark_benchmark: 938.2848, usercpu_time_millis: 3240, usercpu_time_millis_training: 3240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9881, kappa: 0.9827, kb_relative_information_score: 825.6426, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9882, predictive_accuracy: 0.9881, prior_entropy: 1.7898, recall: 0.9881, relative_absolute_error: 0.0162, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0729, root_relative_squared_error: 0.1759, scimark_benchmark: 945.6434, usercpu_time_millis: 6420, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 6410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7056, f_measure: 0.4482, kappa: 0.3346, kb_relative_information_score: 190.1292, mean_absolute_error: 0.2906, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.5053, predictive_accuracy: 0.5434, prior_entropy: 1.7898, recall: 0.5434, relative_absolute_error: 0.845, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3695, root_relative_squared_error: 0.8912, scimark_benchmark: 938.9865, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7069, f_measure: 0.4129, kappa: 0.3338, kb_relative_information_score: 201.0921, mean_absolute_error: 0.2838, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.3335, predictive_accuracy: 0.5541, prior_entropy: 1.7898, recall: 0.5541, relative_absolute_error: 0.8254, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3708, root_relative_squared_error: 0.8945, scimark_benchmark: 922.9039, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7173, f_measure: 0.5198, kappa: 0.3339, kb_relative_information_score: 169.8978, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.5017, predictive_accuracy: 0.5493, prior_entropy: 1.7898, recall: 0.5493, relative_absolute_error: 0.8723, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3764, root_relative_squared_error: 0.908, scimark_benchmark: 911.3823, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7006, f_measure: 0.4166, kappa: 0.3393, kb_relative_information_score: 86.254, mean_absolute_error: 0.3453, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.3378, predictive_accuracy: 0.5589, prior_entropy: 1.7898, recall: 0.5589, relative_absolute_error: 1.0042, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4022, root_relative_squared_error: 0.9701, scimark_benchmark: 943.2817, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7006, f_measure: 0.4166, kappa: 0.3393, kb_relative_information_score: 86.254, mean_absolute_error: 0.3453, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.3378, predictive_accuracy: 0.5589, prior_entropy: 1.7898, recall: 0.5589, relative_absolute_error: 1.0042, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4022, root_relative_squared_error: 0.9701, scimark_benchmark: 894.7455, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9941, kappa: 0.9914, kb_relative_information_score: 833.7139, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 1.7898, recall: 0.9941, relative_absolute_error: 0.0087, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0545, root_relative_squared_error: 0.1315, scimark_benchmark: 936.7115, usercpu_time_millis: 26380, usercpu_time_millis_testing: 8520, usercpu_time_millis_training: 17860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9929, kappa: 0.9896, kb_relative_information_score: 832.4484, mean_absolute_error: 0.0036, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9929, predictive_accuracy: 0.9929, prior_entropy: 1.7898, recall: 0.9929, relative_absolute_error: 0.0106, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0598, root_relative_squared_error: 0.1442, scimark_benchmark: 926.6717, usercpu_time_millis: 15130, usercpu_time_millis_testing: 4990, usercpu_time_millis_training: 10140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 834.9062, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 1.7898, recall: 0.9952, relative_absolute_error: 0.0069, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0488, root_relative_squared_error: 0.1176, scimark_benchmark: 942.6953, usercpu_time_millis: 6420, usercpu_time_millis_testing: 2050, usercpu_time_millis_training: 4370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.9559, kappa: 0.9359, kb_relative_information_score: 783.2482, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.956, predictive_accuracy: 0.956, prior_entropy: 1.7898, recall: 0.956, relative_absolute_error: 0.0745, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1479, root_relative_squared_error: 0.3567, scimark_benchmark: 1384.4418, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.9512, kappa: 0.9291, kb_relative_information_score: 779.4352, mean_absolute_error: 0.026, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9517, predictive_accuracy: 0.9512, prior_entropy: 1.7898, recall: 0.9512, relative_absolute_error: 0.0755, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1535, root_relative_squared_error: 0.3703, scimark_benchmark: 1339.4189, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2064, kb_relative_information_score: 111.2028, mean_absolute_error: 0.3115, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.1421, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.906, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.5582, root_relative_squared_error: 1.3464, scimark_benchmark: 1339.4189, usercpu_time_millis: 1100, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 900,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.9703, kappa: 0.9567, kb_relative_information_score: 805.9795, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9707, predictive_accuracy: 0.9703, prior_entropy: 1.7898, recall: 0.9703, relative_absolute_error: 0.0432, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1219, root_relative_squared_error: 0.2941, scimark_benchmark: 1425.1294, usercpu_time_millis: 510, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.951, f_measure: 0.9223, kappa: 0.8874, kb_relative_information_score: 731.0578, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9226, predictive_accuracy: 0.9227, prior_entropy: 1.7898, recall: 0.9227, relative_absolute_error: 0.1418, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1919, root_relative_squared_error: 0.4629, scimark_benchmark: 1327.6929, usercpu_time_millis: 240, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, f_measure: 0.9248, kappa: 0.8907, kb_relative_information_score: 726.6458, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9254, predictive_accuracy: 0.9251, prior_entropy: 1.7898, recall: 0.9251, relative_absolute_error: 0.1537, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1811, root_relative_squared_error: 0.4368, scimark_benchmark: 1319.9043, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9917, kappa: 0.9879, kb_relative_information_score: 729.1565, mean_absolute_error: 0.0699, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9917, predictive_accuracy: 0.9917, prior_entropy: 1.7898, recall: 0.9917, relative_absolute_error: 0.2031, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1182, root_relative_squared_error: 0.2851, scimark_benchmark: 1336.2509, usercpu_time_millis: 330, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.95, kappa: 0.9273, kb_relative_information_score: 776.5825, mean_absolute_error: 0.0296, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9501, predictive_accuracy: 0.9501, prior_entropy: 1.7898, recall: 0.9501, relative_absolute_error: 0.0861, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.138, root_relative_squared_error: 0.3328, scimark_benchmark: 1250.8301, usercpu_time_millis: 11120, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 11010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9988, kappa: 0.9983, kb_relative_information_score: 838.2454, mean_absolute_error: 0.0009, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 1.7898, recall: 0.9988, relative_absolute_error: 0.0026, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0244, root_relative_squared_error: 0.0588, scimark_benchmark: 1337.7959, usercpu_time_millis: 5810, usercpu_time_millis_testing: 4710, usercpu_time_millis_training: 1100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 833.8213, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9953, predictive_accuracy: 0.9952, prior_entropy: 1.7898, recall: 0.9952, relative_absolute_error: 0.0069, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0488, root_relative_squared_error: 0.1176, scimark_benchmark: 935.5075, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9941, kappa: 0.9914, kb_relative_information_score: 831.9724, mean_absolute_error: 0.0045, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 1.7898, recall: 0.9941, relative_absolute_error: 0.013, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0423, root_relative_squared_error: 0.1019, scimark_benchmark: 938.343, usercpu_time_millis: 700, usercpu_time_millis_training: 700,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 830.329, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7898, recall: 0.9964, relative_absolute_error: 0.0167, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0428, root_relative_squared_error: 0.1033, scimark_benchmark: 916.6405, usercpu_time_millis: 960, usercpu_time_millis_testing: 960,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9536, kappa: 0.9324, kb_relative_information_score: 747.7817, mean_absolute_error: 0.0514, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9538, predictive_accuracy: 0.9536, prior_entropy: 1.7898, recall: 0.9536, relative_absolute_error: 0.1495, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1341, root_relative_squared_error: 0.3234, scimark_benchmark: 1342.5243, usercpu_time_millis: 2780, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.969, kappa: 0.955, kb_relative_information_score: 703.2438, mean_absolute_error: 0.0821, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9692, predictive_accuracy: 0.9691, prior_entropy: 1.7898, recall: 0.9691, relative_absolute_error: 0.2386, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1455, root_relative_squared_error: 0.3509, scimark_benchmark: 1338.9143, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9393, kappa: 0.9117, kb_relative_information_score: 757.5497, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9393, predictive_accuracy: 0.9394, prior_entropy: 1.7898, recall: 0.9394, relative_absolute_error: 0.1196, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1493, root_relative_squared_error: 0.3602, scimark_benchmark: 1331.6907, usercpu_time_millis: 780, usercpu_time_millis_training: 780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9393, kappa: 0.9117, kb_relative_information_score: 757.5497, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9393, predictive_accuracy: 0.9394, prior_entropy: 1.7898, recall: 0.9394, relative_absolute_error: 0.1196, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1493, root_relative_squared_error: 0.3602, scimark_benchmark: 1339.4189, usercpu_time_millis: 760, usercpu_time_millis_training: 760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.8723, kappa: 0.8134, kb_relative_information_score: 558.7383, mean_absolute_error: 0.1453, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8767, predictive_accuracy: 0.8728, prior_entropy: 1.7898, recall: 0.8728, relative_absolute_error: 0.4226, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2311, root_relative_squared_error: 0.5574, scimark_benchmark: 1370.6464, usercpu_time_millis: 440, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9905, kappa: 0.9862, kb_relative_information_score: 828.8998, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 1.7898, recall: 0.9905, relative_absolute_error: 0.0138, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0658, root_relative_squared_error: 0.1587, scimark_benchmark: 1363.454, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9644, f_measure: 0.8953, kappa: 0.8892, kb_relative_information_score: 618.9044, mean_absolute_error: 0.0953, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8701, predictive_accuracy: 0.9251, prior_entropy: 1.7898, recall: 0.9251, relative_absolute_error: 0.277, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1911, root_relative_squared_error: 0.4608, scimark_benchmark: 1315.4655, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9893, kappa: 0.9844, kb_relative_information_score: 828.9061, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9894, predictive_accuracy: 0.9893, prior_entropy: 1.7898, recall: 0.9893, relative_absolute_error: 0.0154, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0702, root_relative_squared_error: 0.1694, scimark_benchmark: 1301.9176, usercpu_time_millis: 70, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9893, kappa: 0.9844, kb_relative_information_score: 827.745, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9894, predictive_accuracy: 0.9893, prior_entropy: 1.7898, recall: 0.9893, relative_absolute_error: 0.0171, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0698, root_relative_squared_error: 0.1683, scimark_benchmark: 1341.994, usercpu_time_millis: 80, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9364, f_measure: 0.8726, kappa: 0.8147, kb_relative_information_score: 685.7492, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8738, predictive_accuracy: 0.8728, prior_entropy: 1.7898, recall: 0.8728, relative_absolute_error: 0.2036, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2369, root_relative_squared_error: 0.5716, scimark_benchmark: 1334.8495, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9798, kappa: 0.9706, kb_relative_information_score: 816.2909, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.98, predictive_accuracy: 0.9798, prior_entropy: 1.7898, recall: 0.9798, relative_absolute_error: 0.0319, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0985, root_relative_squared_error: 0.2375, scimark_benchmark: 1297.6356, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9798, kappa: 0.9706, kb_relative_information_score: 816.2909, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.98, predictive_accuracy: 0.9798, prior_entropy: 1.7898, recall: 0.9798, relative_absolute_error: 0.0319, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0985, root_relative_squared_error: 0.2375, scimark_benchmark: 1351.1897, usercpu_time_millis: 120, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9988, kappa: 0.9983, kb_relative_information_score: 838.0232, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 1.7898, recall: 0.9988, relative_absolute_error: 0.0029, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0269, root_relative_squared_error: 0.0649, scimark_benchmark: 1172.9279, usercpu_time_millis: 80, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2064, kb_relative_information_score: 111.2028, mean_absolute_error: 0.3115, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.1421, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.906, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.5582, root_relative_squared_error: 1.3464, scimark_benchmark: 1328.941, usercpu_time_millis: 2780, usercpu_time_millis_testing: 1760, usercpu_time_millis_training: 1020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9524, kappa: 0.9307, kb_relative_information_score: 748.2604, mean_absolute_error: 0.051, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9524, predictive_accuracy: 0.9524, prior_entropy: 1.7898, recall: 0.9524, relative_absolute_error: 0.1485, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1342, root_relative_squared_error: 0.3237, scimark_benchmark: 1313.6093, usercpu_time_millis: 720, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.994, kappa: 0.9913, kb_relative_information_score: 819.2742, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 1.7898, recall: 0.9941, relative_absolute_error: 0.0353, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0573, root_relative_squared_error: 0.1383, scimark_benchmark: 1332.6143, usercpu_time_millis: 250, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 831.2291, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9953, predictive_accuracy: 0.9952, prior_entropy: 1.7898, recall: 0.9952, relative_absolute_error: 0.0121, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0465, root_relative_squared_error: 0.1122, scimark_benchmark: 855.8522, usercpu_time_millis: 1090, usercpu_time_millis_training: 1090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9917, kappa: 0.9879, kb_relative_information_score: 829.7582, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9917, predictive_accuracy: 0.9917, prior_entropy: 1.7898, recall: 0.9917, relative_absolute_error: 0.0134, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0619, root_relative_squared_error: 0.1492, scimark_benchmark: 1335.5424, usercpu_time_millis: 2330, usercpu_time_millis_training: 2330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9881, kappa: 0.9827, kb_relative_information_score: 825.6426, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9882, predictive_accuracy: 0.9881, prior_entropy: 1.7898, recall: 0.9881, relative_absolute_error: 0.0162, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0729, root_relative_squared_error: 0.1759, scimark_benchmark: 898.1296, usercpu_time_millis: 4690, usercpu_time_millis_training: 4690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9701, kappa: 0.9567, kb_relative_information_score: 701.559, mean_absolute_error: 0.0848, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9704, predictive_accuracy: 0.9703, prior_entropy: 1.7898, recall: 0.9703, relative_absolute_error: 0.2465, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1398, root_relative_squared_error: 0.3372, scimark_benchmark: 1338.9438, usercpu_time_millis: 200, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9737, kappa: 0.9619, kb_relative_information_score: 708.9687, mean_absolute_error: 0.08, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9742, predictive_accuracy: 0.9738, prior_entropy: 1.7898, recall: 0.9738, relative_absolute_error: 0.2325, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1346, root_relative_squared_error: 0.3247, scimark_benchmark: 898.1296, usercpu_time_millis: 890, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9738, kappa: 0.9619, kb_relative_information_score: 709.6757, mean_absolute_error: 0.0797, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9742, predictive_accuracy: 0.9738, prior_entropy: 1.7898, recall: 0.9738, relative_absolute_error: 0.2317, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1336, root_relative_squared_error: 0.3224, scimark_benchmark: 1334.4761, usercpu_time_millis: 1770, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 1680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.9405, kappa: 0.9136, kb_relative_information_score: 765.1526, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9407, predictive_accuracy: 0.9405, prior_entropy: 1.7898, recall: 0.9405, relative_absolute_error: 0.1016, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1692, root_relative_squared_error: 0.4081, scimark_benchmark: 1328.941, usercpu_time_millis: 180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7498, f_measure: 0.4147, kappa: 0.3351, kb_relative_information_score: 350.3891, mean_absolute_error: 0.2489, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.3367, predictive_accuracy: 0.5565, prior_entropy: 1.7898, recall: 0.5565, relative_absolute_error: 0.7238, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3538, root_relative_squared_error: 0.8533, scimark_benchmark: 943.1756, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9822, kappa: 0.974, kb_relative_information_score: 820.3395, mean_absolute_error: 0.0089, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9822, predictive_accuracy: 0.9822, prior_entropy: 1.7898, recall: 0.9822, relative_absolute_error: 0.0259, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0944, root_relative_squared_error: 0.2278, scimark_benchmark: 1331.2332, usercpu_time_millis: 1190, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 835.1872, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 1.7898, recall: 0.9952, relative_absolute_error: 0.0069, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0488, root_relative_squared_error: 0.1176, scimark_benchmark: 1296.8947, usercpu_time_millis: 840, usercpu_time_millis_testing: 840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.8615, kappa: 0.8349, kb_relative_information_score: 482.6627, mean_absolute_error: 0.1962, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8407, predictive_accuracy: 0.8882, prior_entropy: 1.7898, recall: 0.8882, relative_absolute_error: 0.5707, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2885, root_relative_squared_error: 0.6959, scimark_benchmark: 1325.0605, usercpu_time_millis: 7220, usercpu_time_millis_testing: 7220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 833.8213, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9953, predictive_accuracy: 0.9952, prior_entropy: 1.7898, recall: 0.9952, relative_absolute_error: 0.0069, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0488, root_relative_squared_error: 0.1176, scimark_benchmark: 1358.4523, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7432, f_measure: 0.4166, kappa: 0.3393, kb_relative_information_score: 354.2692, mean_absolute_error: 0.2479, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.3378, predictive_accuracy: 0.5589, prior_entropy: 1.7898, recall: 0.5589, relative_absolute_error: 0.7208, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3521, root_relative_squared_error: 0.8493, scimark_benchmark: 1360.1753, usercpu_time_millis: 10, 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

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From your own software

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

OpenML APIs