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Function: sql

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File: /var/www/openml/index.php
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File: /var/www/openml/openml_OS/core/MY_Database_Read_Model.php
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File: /var/www/openml/index.php
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Function: require_once

OpenML
OpenML
Supervised Classification on fri_c4_500_50

Supervised Classification on fri_c4_500_50

Task 3670 Supervised Classification fri_c4_500_50 568 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9143, build_cpu_time: 1.5138, build_memory: 1096807716.8, f_measure: 0.8458, kappa: 0.6904, kb_relative_information_score: 342.1085, mean_absolute_error: 0.1575, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.8461, predictive_accuracy: 0.846, prior_entropy: 0.9978, recall: 0.846, relative_absolute_error: 0.3161, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3637, root_relative_squared_error: 0.7285, scimark_benchmark: 933.4498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9105, build_cpu_time: 0.8441, build_memory: 722310805.6, f_measure: 0.8357, kappa: 0.6702, kb_relative_information_score: 326.3789, mean_absolute_error: 0.1749, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.8362, predictive_accuracy: 0.836, prior_entropy: 0.9978, recall: 0.836, relative_absolute_error: 0.351, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3745, root_relative_squared_error: 0.7503, scimark_benchmark: 893.4088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, build_cpu_time: 0.5765, build_memory: 410697546.4, f_measure: 0.856, kappa: 0.711, kb_relative_information_score: 347.574, mean_absolute_error: 0.1527, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.856, predictive_accuracy: 0.856, prior_entropy: 0.9978, recall: 0.856, relative_absolute_error: 0.3063, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3697, root_relative_squared_error: 0.7406, scimark_benchmark: 902.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9071, build_cpu_time: 1.1472, build_memory: 458137403.2, f_measure: 0.8519, kappa: 0.7027, kb_relative_information_score: 349.2879, mean_absolute_error: 0.1504, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.852, predictive_accuracy: 0.852, prior_entropy: 0.9978, recall: 0.852, relative_absolute_error: 0.3017, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3771, root_relative_squared_error: 0.7553, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9007, build_cpu_time: 2.401, build_memory: 3093793977.6, f_measure: 0.8579, kappa: 0.7147, kb_relative_information_score: 361.8918, mean_absolute_error: 0.1371, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.8581, predictive_accuracy: 0.858, prior_entropy: 0.9978, recall: 0.858, relative_absolute_error: 0.275, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.7268, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8888, build_cpu_time: 4.7383, build_memory: 1695830204.8, f_measure: 0.8578, kappa: 0.7145, kb_relative_information_score: 356.35, mean_absolute_error: 0.1431, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.8582, predictive_accuracy: 0.858, prior_entropy: 0.9978, recall: 0.858, relative_absolute_error: 0.2871, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3747, root_relative_squared_error: 0.7506, scimark_benchmark: 931.9671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8836, build_cpu_time: 9.6887, build_memory: 420789148, f_measure: 0.8718, kappa: 0.7426, kb_relative_information_score: 371.294, mean_absolute_error: 0.1282, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.8723, predictive_accuracy: 0.872, prior_entropy: 0.9978, recall: 0.872, relative_absolute_error: 0.2571, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3577, root_relative_squared_error: 0.7165, scimark_benchmark: 916.1588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.541, build_cpu_time: 0.1232, build_memory: 315647224.8, f_measure: 0.5402, kappa: 0.0816, kb_relative_information_score: 37.7915, mean_absolute_error: 0.4602, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.5426, predictive_accuracy: 0.54, prior_entropy: 0.9978, recall: 0.54, relative_absolute_error: 0.9232, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.6767, root_relative_squared_error: 1.3556, scimark_benchmark: 937.6343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.541, build_cpu_time: 0.1777, build_memory: 88121139.2, f_measure: 0.5402, kappa: 0.0816, kb_relative_information_score: 37.7915, mean_absolute_error: 0.4602, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.5426, predictive_accuracy: 0.54, prior_entropy: 0.9978, recall: 0.54, relative_absolute_error: 0.9232, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.6767, root_relative_squared_error: 1.3556, scimark_benchmark: 941.1411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.541, build_cpu_time: 0.0923, build_memory: 363278218.4, f_measure: 0.5402, kappa: 0.0816, kb_relative_information_score: 37.7915, mean_absolute_error: 0.4602, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.5426, predictive_accuracy: 0.54, prior_entropy: 0.9978, recall: 0.54, relative_absolute_error: 0.9232, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.6767, root_relative_squared_error: 1.3556, scimark_benchmark: 945.5885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9489, build_cpu_time: 1.5011, build_memory: 706597734.4, f_measure: 0.8781, kappa: 0.7556, kb_relative_information_score: 346.9895, mean_absolute_error: 0.1589, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.8785, predictive_accuracy: 0.878, prior_entropy: 0.9978, recall: 0.878, relative_absolute_error: 0.3187, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3021, root_relative_squared_error: 0.6051, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9002, build_cpu_time: 10.3067, build_memory: 1084905191.2, f_measure: 0.874, kappa: 0.747, kb_relative_information_score: 371.1635, mean_absolute_error: 0.1287, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.874, predictive_accuracy: 0.874, prior_entropy: 0.9978, recall: 0.874, relative_absolute_error: 0.2583, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3514, root_relative_squared_error: 0.7039, scimark_benchmark: 942.6219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9194, build_cpu_time: 5.0762, build_memory: 1226537544, f_measure: 0.8661, kappa: 0.7317, kb_relative_information_score: 360.4462, mean_absolute_error: 0.1396, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.8667, predictive_accuracy: 0.866, prior_entropy: 0.9978, recall: 0.866, relative_absolute_error: 0.28, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3597, root_relative_squared_error: 0.7205, scimark_benchmark: 947.7459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.912, build_cpu_time: 2.5754, build_memory: 1061529708, f_measure: 0.8458, kappa: 0.6904, kb_relative_information_score: 345.2641, mean_absolute_error: 0.1544, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.8461, predictive_accuracy: 0.846, prior_entropy: 0.9978, recall: 0.846, relative_absolute_error: 0.3097, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3716, root_relative_squared_error: 0.7443, scimark_benchmark: 947.7459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8908, build_cpu_time: 1.4052, build_memory: 1348044753.6, f_measure: 0.8179, kappa: 0.6344, kb_relative_information_score: 306.4334, mean_absolute_error: 0.1939, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.8179, predictive_accuracy: 0.818, prior_entropy: 0.9978, recall: 0.818, relative_absolute_error: 0.389, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4029, root_relative_squared_error: 0.8071, scimark_benchmark: 933.9589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6603, build_cpu_time: 0.9326, build_memory: 894869253.6, f_measure: 0.618, kappa: 0.2334, kb_relative_information_score: 85.3677, mean_absolute_error: 0.4206, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.6179, predictive_accuracy: 0.618, prior_entropy: 0.9978, recall: 0.618, relative_absolute_error: 0.8438, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4991, root_relative_squared_error: 0.9997, scimark_benchmark: 913.4921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9357, build_cpu_time: 1.3735, build_memory: 752423805.6, f_measure: 0.87, kappa: 0.7394, kb_relative_information_score: 359.0617, mean_absolute_error: 0.142, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.8701, predictive_accuracy: 0.87, prior_entropy: 0.9978, recall: 0.87, relative_absolute_error: 0.2848, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3348, root_relative_squared_error: 0.6706, scimark_benchmark: 920.2722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, build_cpu_time: 0.078, build_memory: 1994728681.6, f_measure: 0.8277, kappa: 0.6541, kb_relative_information_score: 281.6035, mean_absolute_error: 0.2296, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.8281, predictive_accuracy: 0.828, prior_entropy: 0.9978, recall: 0.828, relative_absolute_error: 0.4607, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3406, root_relative_squared_error: 0.6823, scimark_benchmark: 918.4301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9351, build_cpu_time: 0.2659, build_memory: 1155616482.4, f_measure: 0.856, kappa: 0.711, kb_relative_information_score: 167.4083, mean_absolute_error: 0.3579, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.856, predictive_accuracy: 0.856, prior_entropy: 0.9978, recall: 0.856, relative_absolute_error: 0.718, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3797, root_relative_squared_error: 0.7606, scimark_benchmark: 892.0716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8232, build_cpu_time: 0.1176, build_memory: 837240888, f_measure: 0.825, kappa: 0.6488, kb_relative_information_score: 278.508, mean_absolute_error: 0.2342, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.8288, predictive_accuracy: 0.826, prior_entropy: 0.9978, recall: 0.826, relative_absolute_error: 0.4698, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3865, root_relative_squared_error: 0.7743, scimark_benchmark: 933.1799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.541, build_cpu_time: 0.0007, build_memory: 1382357579.2, f_measure: 0.5402, kappa: 0.0816, kb_relative_information_score: 37.7915, mean_absolute_error: 0.4602, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.5426, predictive_accuracy: 0.54, prior_entropy: 0.9978, recall: 0.54, relative_absolute_error: 0.9232, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.6767, root_relative_squared_error: 1.3556, scimark_benchmark: 906.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5106, build_cpu_time: 0.1097, build_memory: 721831250.4, f_measure: 0.3869, kappa: 0.0223, kb_relative_information_score: 35.9106, mean_absolute_error: 0.462, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.7536, predictive_accuracy: 0.538, prior_entropy: 0.9978, recall: 0.538, relative_absolute_error: 0.9269, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.6797, root_relative_squared_error: 1.3615, scimark_benchmark: 941.9254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6129, build_cpu_time: 0.0995, build_memory: 358648681.6, f_measure: 0.614, kappa: 0.2257, kb_relative_information_score: 112.2528, mean_absolute_error: 0.386, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.6141, predictive_accuracy: 0.614, prior_entropy: 0.9978, recall: 0.614, relative_absolute_error: 0.7744, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.6213, root_relative_squared_error: 1.2445, scimark_benchmark: 936.7073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5761, build_cpu_time: 0.0807, build_memory: 180057164, f_measure: 0.5679, kappa: 0.1556, kb_relative_information_score: 86.1357, mean_absolute_error: 0.412, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.5926, predictive_accuracy: 0.588, prior_entropy: 0.9978, recall: 0.588, relative_absolute_error: 0.8266, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.6419, root_relative_squared_error: 1.2858, scimark_benchmark: 945.4085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6872, build_cpu_time: 0.0356, build_memory: 104698304.8, f_measure: 0.63, kappa: 0.2578, kb_relative_information_score: 93.624, mean_absolute_error: 0.4116, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.6301, predictive_accuracy: 0.63, prior_entropy: 0.9978, recall: 0.63, relative_absolute_error: 0.8258, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4853, root_relative_squared_error: 0.9722, scimark_benchmark: 943.1817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6706, build_cpu_time: 0.006, build_memory: 1046617688.8, f_measure: 0.6321, kappa: 0.262, kb_relative_information_score: 80.8803, mean_absolute_error: 0.4257, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.6322, predictive_accuracy: 0.632, prior_entropy: 0.9978, recall: 0.632, relative_absolute_error: 0.854, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.488, root_relative_squared_error: 0.9775, scimark_benchmark: 941.5807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9259, build_cpu_time: 0.1321, build_memory: 709230431.2, f_measure: 0.852, kappa: 0.7031, kb_relative_information_score: 284.845, mean_absolute_error: 0.2317, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.852, predictive_accuracy: 0.852, prior_entropy: 0.9978, recall: 0.852, relative_absolute_error: 0.4649, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3247, root_relative_squared_error: 0.6505, scimark_benchmark: 930.1524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9259, build_cpu_time: 0.1207, build_memory: 518858468.8, f_measure: 0.852, kappa: 0.7031, kb_relative_information_score: 284.845, mean_absolute_error: 0.2317, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.852, predictive_accuracy: 0.852, prior_entropy: 0.9978, recall: 0.852, relative_absolute_error: 0.4649, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3247, root_relative_squared_error: 0.6505, scimark_benchmark: 920.6941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8874, build_cpu_time: 0.1084, build_memory: 162634578.4, f_measure: 0.7981, kappa: 0.5952, kb_relative_information_score: 217.2643, mean_absolute_error: 0.299, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.7983, predictive_accuracy: 0.798, prior_entropy: 0.9978, recall: 0.798, relative_absolute_error: 0.5998, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3713, root_relative_squared_error: 0.7438, scimark_benchmark: 945.4151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8874, build_cpu_time: 0.115, build_memory: 26835236, f_measure: 0.7981, kappa: 0.5952, kb_relative_information_score: 217.2643, mean_absolute_error: 0.299, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.7983, predictive_accuracy: 0.798, prior_entropy: 0.9978, recall: 0.798, relative_absolute_error: 0.5998, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3713, root_relative_squared_error: 0.7438, scimark_benchmark: 933.4176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.745, build_cpu_time: 0.0114, build_memory: 535157083.2, f_measure: 0.7442, kappa: 0.4882, kb_relative_information_score: 242.8382, mean_absolute_error: 0.256, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.7459, predictive_accuracy: 0.744, prior_entropy: 0.9978, recall: 0.744, relative_absolute_error: 0.5136, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.506, root_relative_squared_error: 1.0135, scimark_benchmark: 929.8725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.745, build_cpu_time: 0.0102, build_memory: 475305699.2, f_measure: 0.7442, kappa: 0.4882, kb_relative_information_score: 242.8382, mean_absolute_error: 0.256, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.7459, predictive_accuracy: 0.744, prior_entropy: 0.9978, recall: 0.744, relative_absolute_error: 0.5136, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.506, root_relative_squared_error: 1.0135, scimark_benchmark: 943.9113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8019, build_cpu_time: 0.038, build_memory: 888623337.6, f_measure: 0.8099, kappa: 0.6185, kb_relative_information_score: 301.9362, mean_absolute_error: 0.1998, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.8099, predictive_accuracy: 0.81, prior_entropy: 0.9978, recall: 0.81, relative_absolute_error: 0.4008, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4283, root_relative_squared_error: 0.8579, scimark_benchmark: 922.5645,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7764, build_cpu_time: 0.5769, build_memory: 229955008, f_measure: 0.7042, kappa: 0.4069, kb_relative_information_score: 114.3131, mean_absolute_error: 0.3989, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.7045, predictive_accuracy: 0.704, prior_entropy: 0.9978, recall: 0.704, relative_absolute_error: 0.8003, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4404, root_relative_squared_error: 0.8822, scimark_benchmark: 943.2191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6703, build_cpu_time: 0.6867, build_memory: 918936992, f_measure: 0.6341, kappa: 0.2662, kb_relative_information_score: 75.0691, mean_absolute_error: 0.4321, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.6343, predictive_accuracy: 0.634, prior_entropy: 0.9978, recall: 0.634, relative_absolute_error: 0.8669, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.485, root_relative_squared_error: 0.9716, scimark_benchmark: 947.3846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6703, build_cpu_time: 0.6836, build_memory: 881290597.6, f_measure: 0.6341, kappa: 0.2662, kb_relative_information_score: 75.0691, mean_absolute_error: 0.4321, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.6343, predictive_accuracy: 0.634, prior_entropy: 0.9978, recall: 0.634, relative_absolute_error: 0.8669, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.485, root_relative_squared_error: 0.9716, scimark_benchmark: 905.0866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8697, build_cpu_time: 0.1264, build_memory: 588325412, f_measure: 0.8123, kappa: 0.6239, kb_relative_information_score: 304.8866, mean_absolute_error: 0.1945, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.8189, predictive_accuracy: 0.814, prior_entropy: 0.9978, recall: 0.814, relative_absolute_error: 0.3901, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.7939, scimark_benchmark: 905.0866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8697, build_cpu_time: 0.1297, build_memory: 270014215.2, f_measure: 0.8123, kappa: 0.6239, kb_relative_information_score: 304.8866, mean_absolute_error: 0.1945, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.8189, predictive_accuracy: 0.814, prior_entropy: 0.9978, recall: 0.814, relative_absolute_error: 0.3901, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.7939, scimark_benchmark: 937.6369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8697, build_cpu_time: 0.1298, build_memory: 495138603.2, f_measure: 0.8123, kappa: 0.6239, kb_relative_information_score: 304.8866, mean_absolute_error: 0.1945, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.8189, predictive_accuracy: 0.814, prior_entropy: 0.9978, recall: 0.814, relative_absolute_error: 0.3901, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.7939, scimark_benchmark: 941.5045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8697, build_cpu_time: 0.1208, build_memory: 178153155.2, f_measure: 0.8123, kappa: 0.6239, kb_relative_information_score: 304.8866, mean_absolute_error: 0.1945, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.8189, predictive_accuracy: 0.814, prior_entropy: 0.9978, recall: 0.814, relative_absolute_error: 0.3901, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.7939, scimark_benchmark: 932.5791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6837, build_cpu_time: 610.8607, build_memory: 975424917.6, f_measure: 0.63, kappa: 0.2575, kb_relative_information_score: 96.7467, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.6299, predictive_accuracy: 0.63, prior_entropy: 0.9978, recall: 0.63, relative_absolute_error: 0.8187, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4913, root_relative_squared_error: 0.9841, scimark_benchmark: 941.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6868, build_cpu_time: 1287.9308, build_memory: 183118972, f_measure: 0.632, kappa: 0.2617, kb_relative_information_score: 98.6153, mean_absolute_error: 0.4061, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.632, predictive_accuracy: 0.632, prior_entropy: 0.9978, recall: 0.632, relative_absolute_error: 0.8148, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4902, root_relative_squared_error: 0.9819, scimark_benchmark: 943.1529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7669, build_cpu_time: 0.0295, build_memory: 864005736.8, f_measure: 0.6791, kappa: 0.3557, kb_relative_information_score: 80.2724, mean_absolute_error: 0.4329, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.6796, predictive_accuracy: 0.68, prior_entropy: 0.9978, recall: 0.68, relative_absolute_error: 0.8685, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4528, root_relative_squared_error: 0.907, scimark_benchmark: 939.0518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6526, build_cpu_time: 1.4177, build_memory: 723915888.8, f_measure: 0.6048, kappa: 0.2065, kb_relative_information_score: 79.2816, mean_absolute_error: 0.4237, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.605, predictive_accuracy: 0.606, prior_entropy: 0.9978, recall: 0.606, relative_absolute_error: 0.85, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5096, root_relative_squared_error: 1.0208, scimark_benchmark: 942.9616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7682, build_cpu_time: 0.0167, build_memory: 1154900804, f_measure: 0.6791, kappa: 0.3557, kb_relative_information_score: 80.0667, mean_absolute_error: 0.4331, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.6796, predictive_accuracy: 0.68, prior_entropy: 0.9978, recall: 0.68, relative_absolute_error: 0.869, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4521, root_relative_squared_error: 0.9056, scimark_benchmark: 942.7079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7583, build_cpu_time: 0.0079, build_memory: 361644916.8, f_measure: 0.6754, kappa: 0.3482, kb_relative_information_score: 79.8501, mean_absolute_error: 0.4331, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.6755, predictive_accuracy: 0.676, prior_entropy: 0.9978, recall: 0.676, relative_absolute_error: 0.8689, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.455, root_relative_squared_error: 0.9115, scimark_benchmark: 941.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.644, build_cpu_time: 1.6329, build_memory: 2340715893.6, f_measure: 0.5977, kappa: 0.1928, kb_relative_information_score: 90.8988, mean_absolute_error: 0.4089, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.5987, predictive_accuracy: 0.6, prior_entropy: 0.9978, recall: 0.6, relative_absolute_error: 0.8203, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5562, root_relative_squared_error: 1.1141, scimark_benchmark: 938.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7556, build_cpu_time: 0.003, build_memory: 546604175.2, f_measure: 0.6696, kappa: 0.3366, kb_relative_information_score: 79.8525, mean_absolute_error: 0.433, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.6696, predictive_accuracy: 0.67, prior_entropy: 0.9978, recall: 0.67, relative_absolute_error: 0.8687, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4559, root_relative_squared_error: 0.9132, scimark_benchmark: 824.2652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7563, build_cpu_time: 0.0044, build_memory: 855990494.4, f_measure: 0.6781, kappa: 0.3544, kb_relative_information_score: 79.3579, mean_absolute_error: 0.4334, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.6782, predictive_accuracy: 0.678, prior_entropy: 0.9978, recall: 0.678, relative_absolute_error: 0.8696, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4544, root_relative_squared_error: 0.9103, scimark_benchmark: 939.0518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, build_cpu_time: 7.2516, build_memory: 1024514149.6, f_measure: 0.8441, kappa: 0.6873, kb_relative_information_score: 286.0522, mean_absolute_error: 0.2252, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.8442, predictive_accuracy: 0.844, prior_entropy: 0.9978, recall: 0.844, relative_absolute_error: 0.4519, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3302, root_relative_squared_error: 0.6613, scimark_benchmark: 942.6348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9329, build_cpu_time: 34.407, build_memory: 111286840.8, f_measure: 0.84, kappa: 0.679, kb_relative_information_score: 290.0863, mean_absolute_error: 0.2218, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.84, predictive_accuracy: 0.84, prior_entropy: 0.9978, recall: 0.84, relative_absolute_error: 0.4451, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3227, root_relative_squared_error: 0.6464, scimark_benchmark: 1212.2248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9391, build_cpu_time: 27.6321, build_memory: 1955939997.6, f_measure: 0.846, kappa: 0.6911, kb_relative_information_score: 292.0192, mean_absolute_error: 0.2214, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.846, predictive_accuracy: 0.846, prior_entropy: 0.9978, recall: 0.846, relative_absolute_error: 0.4442, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3154, root_relative_squared_error: 0.6318, scimark_benchmark: 942.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9392, build_cpu_time: 60.6882, build_memory: 1909572908.8, f_measure: 0.852, kappa: 0.7031, kb_relative_information_score: 288.0251, mean_absolute_error: 0.2265, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.852, predictive_accuracy: 0.852, prior_entropy: 0.9978, recall: 0.852, relative_absolute_error: 0.4545, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.6334, scimark_benchmark: 942.9632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9401, build_cpu_time: 126.8999, build_memory: 57943087.2, f_measure: 0.8619, kappa: 0.7229, kb_relative_information_score: 290.591, mean_absolute_error: 0.2241, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.862, predictive_accuracy: 0.862, prior_entropy: 0.9978, recall: 0.862, relative_absolute_error: 0.4496, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3142, root_relative_squared_error: 0.6295, scimark_benchmark: 946.2126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9044, build_cpu_time: 25.2476, build_memory: 292471754.4, f_measure: 0.8841, kappa: 0.7678, kb_relative_information_score: 383.7505, mean_absolute_error: 0.1159, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.8849, predictive_accuracy: 0.884, prior_entropy: 0.9978, recall: 0.884, relative_absolute_error: 0.2326, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3352, root_relative_squared_error: 0.6716, scimark_benchmark: 944.0386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9134, build_cpu_time: 9.6654, build_memory: 685044508, f_measure: 0.882, kappa: 0.7634, kb_relative_information_score: 378.0616, mean_absolute_error: 0.122, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.8821, predictive_accuracy: 0.882, prior_entropy: 0.9978, recall: 0.882, relative_absolute_error: 0.2448, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3431, root_relative_squared_error: 0.6873, scimark_benchmark: 945.8914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9217, build_cpu_time: 4.662, build_memory: 144270561.6, f_measure: 0.872, kappa: 0.7433, kb_relative_information_score: 370.5459, mean_absolute_error: 0.1289, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.8721, predictive_accuracy: 0.872, prior_entropy: 0.9978, recall: 0.872, relative_absolute_error: 0.2587, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3515, root_relative_squared_error: 0.7042, scimark_benchmark: 941.2105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9329, build_cpu_time: 3.0064, build_memory: 44795864.8, f_measure: 0.856, kappa: 0.7111, kb_relative_information_score: 357.6896, mean_absolute_error: 0.1412, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.856, predictive_accuracy: 0.856, prior_entropy: 0.9978, recall: 0.856, relative_absolute_error: 0.2833, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3639, root_relative_squared_error: 0.7289, scimark_benchmark: 941.9633,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.926, build_cpu_time: 1.2362, build_memory: 69769924, f_measure: 0.848, kappa: 0.6949, kb_relative_information_score: 347.8569, mean_absolute_error: 0.1515, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.848, predictive_accuracy: 0.848, prior_entropy: 0.9978, recall: 0.848, relative_absolute_error: 0.304, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3698, root_relative_squared_error: 0.7408, scimark_benchmark: 944.2618,

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