Task
Supervised Classification on analcatdata_authorship

Supervised Classification on analcatdata_authorship

Task 3549 Supervised Classification analcatdata_authorship 20531 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: 0.9845, build_cpu_time: 0.2158, build_memory: 1554148947.9572, f_measure: 0.8795, kappa: 0.8266, kb_relative_information_score: 581.8529, mean_absolute_error: 0.1376, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8835, predictive_accuracy: 0.8823, prior_entropy: 1.7898, recall: 0.8823, relative_absolute_error: 0.4001, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2185, root_relative_squared_error: 0.5271, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, build_cpu_time: 0.3706, build_memory: 690370522.0927, f_measure: 0.8973, kappa: 0.8531, kb_relative_information_score: 616.4185, mean_absolute_error: 0.1194, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9033, predictive_accuracy: 0.9001, prior_entropy: 1.7898, recall: 0.9001, relative_absolute_error: 0.3471, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2044, root_relative_squared_error: 0.4931, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, build_cpu_time: 0.3741, build_memory: 908864462.5351, f_measure: 0.8973, kappa: 0.8531, kb_relative_information_score: 616.8248, mean_absolute_error: 0.1191, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9033, predictive_accuracy: 0.9001, prior_entropy: 1.7898, recall: 0.9001, relative_absolute_error: 0.3464, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2042, root_relative_squared_error: 0.4926, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, build_cpu_time: 0.323, build_memory: 402036457.1034, f_measure: 0.9941, kappa: 0.9913, kb_relative_information_score: 733.0986, mean_absolute_error: 0.0675, 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: 0.1962, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1159, root_relative_squared_error: 0.2797, scimark_benchmark: 941.6106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, build_cpu_time: 0.3646, build_memory: 184491526.8966, f_measure: 0.9941, kappa: 0.9913, kb_relative_information_score: 733.0986, mean_absolute_error: 0.0675, 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: 0.1962, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1159, root_relative_squared_error: 0.2797, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, build_cpu_time: 13.2938, build_memory: 1181285607.4102, f_measure: 0.9881, kappa: 0.9827, kb_relative_information_score: 827.2196, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9881, predictive_accuracy: 0.9881, prior_entropy: 1.7898, recall: 0.9881, relative_absolute_error: 0.0173, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0771, root_relative_squared_error: 0.186, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, build_cpu_time: 6.9702, build_memory: 934575032.3044, f_measure: 0.9929, kappa: 0.9896, kb_relative_information_score: 832.5271, 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: 0.0589, root_relative_squared_error: 0.142, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, build_cpu_time: 3.6834, build_memory: 971235898.2449, f_measure: 0.9929, kappa: 0.9896, kb_relative_information_score: 832.2242, mean_absolute_error: 0.0038, 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: 0.011, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.06, root_relative_squared_error: 0.1448, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, build_cpu_time: 2.0032, build_memory: 1357715114.9108, f_measure: 0.9905, kappa: 0.9862, kb_relative_information_score: 830.3252, 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: 0.0135, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0675, root_relative_squared_error: 0.1628, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, build_cpu_time: 0.0865, build_memory: 471955016.5517, f_measure: 0.8439, kappa: 0.7814, kb_relative_information_score: 490.9535, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8593, predictive_accuracy: 0.8526, prior_entropy: 1.7898, recall: 0.8526, relative_absolute_error: 0.5268, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2555, root_relative_squared_error: 0.6163, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, build_cpu_time: 1.0005, build_memory: 803024635.6338, f_measure: 0.9917, kappa: 0.9879, kb_relative_information_score: 831.2805, mean_absolute_error: 0.004, 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: 0.0118, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0627, root_relative_squared_error: 0.1513, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, build_cpu_time: 0.3194, build_memory: 1153891990.3258, f_measure: 0.8973, kappa: 0.8531, kb_relative_information_score: 616.8248, mean_absolute_error: 0.1191, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9033, predictive_accuracy: 0.9001, prior_entropy: 1.7898, recall: 0.9001, relative_absolute_error: 0.3464, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2042, root_relative_squared_error: 0.4926, scimark_benchmark: 925.481,
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: 0.9982, 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: 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: 0.4924, 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: 0.9974, 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: 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: 0.9338, 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: 0.5, 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: 1, build_cpu_time: 156.6567, build_memory: 37790250.6445, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 826.7907, mean_absolute_error: 0.0081, 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: 0.0235, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0443, root_relative_squared_error: 0.1068, scimark_benchmark: 942.4935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 46.789, build_memory: 410555755.5386, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 826.1404, mean_absolute_error: 0.0085, 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: 0.0248, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0448, root_relative_squared_error: 0.1081, scimark_benchmark: 1317.1509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, build_cpu_time: 0.7777, build_memory: 233655851.2723, f_measure: 0.9678, kappa: 0.9533, kb_relative_information_score: 769.0202, mean_absolute_error: 0.039, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9681, predictive_accuracy: 0.9679, prior_entropy: 1.7898, recall: 0.9679, relative_absolute_error: 0.1133, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1189, root_relative_squared_error: 0.2869, scimark_benchmark: 927.4904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, build_cpu_time: 1.7458, build_memory: 34527940.4138, f_measure: 0.9691, kappa: 0.955, kb_relative_information_score: 769.6013, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9697, predictive_accuracy: 0.9691, prior_entropy: 1.7898, recall: 0.9691, relative_absolute_error: 0.1128, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1171, root_relative_squared_error: 0.2825, scimark_benchmark: 942.1793,
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: 0.9973, 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: 0.9989, 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: 0.9999, build_cpu_time: 0.3316, build_memory: 167131027.1201, f_measure: 0.9941, kappa: 0.9913, kb_relative_information_score: 733.0986, mean_absolute_error: 0.0675, 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: 0.1962, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1159, root_relative_squared_error: 0.2797, scimark_benchmark: 943.8094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, build_cpu_time: 0.3329, build_memory: 390644406.6683, f_measure: 0.9941, kappa: 0.9913, kb_relative_information_score: 733.0986, mean_absolute_error: 0.0675, 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: 0.1962, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1159, root_relative_squared_error: 0.2797, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9312, build_cpu_time: 0.01, build_memory: 2073792285.1558, 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: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9312, build_cpu_time: 0.0066, build_memory: 1968793445.6504, 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: 939.084,
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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,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9988, kappa: 0.9983, kb_relative_information_score: 833.0628, mean_absolute_error: 0.0043, 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: 0.0125, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.035, root_relative_squared_error: 0.0844, scimark_benchmark: 933.1776, usercpu_time_millis: 36090, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 36060,
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: 0.9999, 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: 1, build_cpu_time: 259.1195, build_memory: 188559946.321, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 826.3698, mean_absolute_error: 0.0084, 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: 0.0243, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0448, root_relative_squared_error: 0.1081, scimark_benchmark: 942.3742,
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: 0.9964, 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: 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: 0.7056, 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: 0.7006, 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: 0.7173, 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: 0.9945, 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: 0.9999, 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: 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: 0.8899, build_cpu_time: 0.067, build_memory: 930987614.5826, f_measure: 0.6589, kappa: 0.5394, kb_relative_information_score: 428.0455, mean_absolute_error: 0.1816, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.6546, predictive_accuracy: 0.7004, prior_entropy: 1.7898, recall: 0.7004, relative_absolute_error: 0.528, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3127, root_relative_squared_error: 0.7542, scimark_benchmark: 902.1764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, build_cpu_time: 3.0408, build_memory: 2826214825.9976, f_measure: 0.9905, kappa: 0.9862, kb_relative_information_score: 718.613, mean_absolute_error: 0.0765, 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: 0.2223, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1229, root_relative_squared_error: 0.2965, scimark_benchmark: 902.1764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, build_cpu_time: 11.54, build_memory: 674089728.7705, f_measure: 0.9905, kappa: 0.9862, kb_relative_information_score: 718.6018, mean_absolute_error: 0.0765, 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: 0.2225, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1225, root_relative_squared_error: 0.2956, scimark_benchmark: 846.5128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, build_cpu_time: 42.3388, build_memory: 1471936413.0131, f_measure: 0.9893, kappa: 0.9844, kb_relative_information_score: 718.3902, mean_absolute_error: 0.0766, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9893, predictive_accuracy: 0.9893, prior_entropy: 1.7898, recall: 0.9893, relative_absolute_error: 0.2228, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1228, root_relative_squared_error: 0.2961, scimark_benchmark: 899.8262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, build_cpu_time: 9.8088, build_memory: 1206372894.088, f_measure: 0.9941, kappa: 0.9913, kb_relative_information_score: 761.0586, mean_absolute_error: 0.0511, 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: 0.1487, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0933, root_relative_squared_error: 0.2251, scimark_benchmark: 938.3567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, build_cpu_time: 0.5925, build_memory: 656147758.5256, f_measure: 0.6835, kappa: 0.577, kb_relative_information_score: 425.497, mean_absolute_error: 0.1831, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.6648, predictive_accuracy: 0.7229, prior_entropy: 1.7898, recall: 0.7229, relative_absolute_error: 0.5323, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3012, root_relative_squared_error: 0.7265, scimark_benchmark: 899.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, build_cpu_time: 0.6268, build_memory: 154747523.434, f_measure: 0.6835, kappa: 0.577, kb_relative_information_score: 425.497, mean_absolute_error: 0.1831, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.6648, predictive_accuracy: 0.7229, prior_entropy: 1.7898, recall: 0.7229, relative_absolute_error: 0.5323, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3012, root_relative_squared_error: 0.7265, scimark_benchmark: 938.3567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, build_cpu_time: 237.4461, build_memory: 1999304477.308, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 836.0878, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9965, predictive_accuracy: 0.9964, prior_entropy: 1.7898, recall: 0.9964, relative_absolute_error: 0.0052, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0421, root_relative_squared_error: 0.1016, scimark_benchmark: 942.0692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, build_cpu_time: 2349.6977, build_memory: 631534705.893, f_measure: 0.9917, kappa: 0.9879, kb_relative_information_score: 829.2087, mean_absolute_error: 0.004, 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: 0.0116, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0618, root_relative_squared_error: 0.1492, scimark_benchmark: 944.2203,

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