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A PHP Error was encountered

Severity: Warning

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Backtrace:

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

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File: /var/www/openml/index.php
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Function: require_once

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

File: /var/www/openml/index.php
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Function: require_once

OpenML
OpenML
Supervised Classification on fri_c1_500_5

Supervised Classification on fri_c1_500_5

Task 3734 Supervised Classification fri_c1_500_5 572 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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572 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9485, build_cpu_time: 0.47, build_memory: 771121219.2, f_measure: 0.8878, kappa: 0.7742, kb_relative_information_score: 390.211, mean_absolute_error: 0.109, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8885, predictive_accuracy: 0.888, prior_entropy: 0.9967, recall: 0.888, relative_absolute_error: 0.2191, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3181, root_relative_squared_error: 0.6376, scimark_benchmark: 930.5854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9513, build_cpu_time: 0.3306, build_memory: 2591752490.4, f_measure: 0.8918, kappa: 0.7824, kb_relative_information_score: 394.5396, mean_absolute_error: 0.1049, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8923, predictive_accuracy: 0.892, prior_entropy: 0.9967, recall: 0.892, relative_absolute_error: 0.2108, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3082, root_relative_squared_error: 0.6179, scimark_benchmark: 916.8516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9553, build_cpu_time: 0.1993, build_memory: 1083382813.6, f_measure: 0.8998, kappa: 0.7984, kb_relative_information_score: 398.2969, mean_absolute_error: 0.1016, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.9006, predictive_accuracy: 0.9, prior_entropy: 0.9967, recall: 0.9, relative_absolute_error: 0.2042, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3038, root_relative_squared_error: 0.6091, scimark_benchmark: 933.4498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9557, build_cpu_time: 0.1207, build_memory: 1249830455.2, f_measure: 0.8857, kappa: 0.77, kb_relative_information_score: 383.475, mean_absolute_error: 0.1164, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8869, predictive_accuracy: 0.886, prior_entropy: 0.9967, recall: 0.886, relative_absolute_error: 0.2338, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3179, root_relative_squared_error: 0.6372, scimark_benchmark: 930.5854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9436, build_cpu_time: 0.0622, build_memory: 943039008.8, f_measure: 0.8918, kappa: 0.7823, kb_relative_information_score: 392.4094, mean_absolute_error: 0.1069, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8926, predictive_accuracy: 0.892, prior_entropy: 0.9967, recall: 0.892, relative_absolute_error: 0.2148, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3134, root_relative_squared_error: 0.6282, scimark_benchmark: 934.2858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9264, build_cpu_time: 0.2605, build_memory: 106624430.4, f_measure: 0.8939, kappa: 0.7866, kb_relative_information_score: 390.2625, mean_absolute_error: 0.1092, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8941, predictive_accuracy: 0.894, prior_entropy: 0.9967, recall: 0.894, relative_absolute_error: 0.2195, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3251, root_relative_squared_error: 0.6517, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9065, build_cpu_time: 0.537, build_memory: 553948940, f_measure: 0.8878, kappa: 0.7745, kb_relative_information_score: 388.4902, mean_absolute_error: 0.1105, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8882, predictive_accuracy: 0.888, prior_entropy: 0.9967, recall: 0.888, relative_absolute_error: 0.2221, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3308, root_relative_squared_error: 0.6631, scimark_benchmark: 873.8637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9049, build_cpu_time: 1.1562, build_memory: 753538552.8, f_measure: 0.8978, kappa: 0.7944, kb_relative_information_score: 397.171, mean_absolute_error: 0.1022, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8985, predictive_accuracy: 0.898, prior_entropy: 0.9967, recall: 0.898, relative_absolute_error: 0.2053, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3185, root_relative_squared_error: 0.6385, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8199, build_cpu_time: 0.0262, build_memory: 335917036, f_measure: 0.8217, kappa: 0.6415, kb_relative_information_score: 319.7708, mean_absolute_error: 0.1794, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.822, predictive_accuracy: 0.822, prior_entropy: 0.9967, recall: 0.822, relative_absolute_error: 0.3605, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.421, root_relative_squared_error: 0.8439, scimark_benchmark: 890.3066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8199, build_cpu_time: 0.0402, build_memory: 838611790.4, f_measure: 0.8217, kappa: 0.6415, kb_relative_information_score: 319.7708, mean_absolute_error: 0.1794, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.822, predictive_accuracy: 0.822, prior_entropy: 0.9967, recall: 0.822, relative_absolute_error: 0.3605, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.421, root_relative_squared_error: 0.8439, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8199, build_cpu_time: 0.0242, build_memory: 63179109.6, f_measure: 0.8217, kappa: 0.6415, kb_relative_information_score: 319.7708, mean_absolute_error: 0.1794, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.822, predictive_accuracy: 0.822, prior_entropy: 0.9967, recall: 0.822, relative_absolute_error: 0.3605, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.421, root_relative_squared_error: 0.8439, scimark_benchmark: 919.5971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8199, build_cpu_time: 0.0384, build_memory: 460865080.8, f_measure: 0.8217, kappa: 0.6415, kb_relative_information_score: 319.7708, mean_absolute_error: 0.1794, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.822, predictive_accuracy: 0.822, prior_entropy: 0.9967, recall: 0.822, relative_absolute_error: 0.3605, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.421, root_relative_squared_error: 0.8439, scimark_benchmark: 944.4197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9517, build_cpu_time: 0.1978, build_memory: 45478724.8, f_measure: 0.8818, kappa: 0.7622, kb_relative_information_score: 353.7801, mean_absolute_error: 0.1514, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8824, predictive_accuracy: 0.882, prior_entropy: 0.9967, recall: 0.882, relative_absolute_error: 0.3043, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.2983, root_relative_squared_error: 0.5981, scimark_benchmark: 926.7725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8914, build_cpu_time: 1.4739, build_memory: 1251593503.2, f_measure: 0.8817, kappa: 0.7619, kb_relative_information_score: 382.1997, mean_absolute_error: 0.117, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8829, predictive_accuracy: 0.882, prior_entropy: 0.9967, recall: 0.882, relative_absolute_error: 0.235, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3404, root_relative_squared_error: 0.6823, scimark_benchmark: 923.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9143, build_cpu_time: 0.7833, build_memory: 354904158.4, f_measure: 0.8878, kappa: 0.7743, kb_relative_information_score: 389.4609, mean_absolute_error: 0.1097, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8883, predictive_accuracy: 0.888, prior_entropy: 0.9967, recall: 0.888, relative_absolute_error: 0.2205, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3274, root_relative_squared_error: 0.6563, scimark_benchmark: 946.6735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9264, build_cpu_time: 0.3734, build_memory: 633408050.4, f_measure: 0.8779, kappa: 0.7545, kb_relative_information_score: 378.256, mean_absolute_error: 0.1207, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.878, predictive_accuracy: 0.878, prior_entropy: 0.9967, recall: 0.878, relative_absolute_error: 0.2426, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.337, root_relative_squared_error: 0.6755, scimark_benchmark: 940.9619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9375, build_cpu_time: 0.1876, build_memory: 124871764.8, f_measure: 0.866, kappa: 0.7307, kb_relative_information_score: 363.6806, mean_absolute_error: 0.1355, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.866, predictive_accuracy: 0.866, prior_entropy: 0.9967, recall: 0.866, relative_absolute_error: 0.2722, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3512, root_relative_squared_error: 0.7039, scimark_benchmark: 938.8854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7017, build_cpu_time: 0.2968, build_memory: 56090095.2, f_measure: 0.6564, kappa: 0.3122, kb_relative_information_score: 84.4363, mean_absolute_error: 0.4258, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6585, predictive_accuracy: 0.656, prior_entropy: 0.9967, recall: 0.656, relative_absolute_error: 0.8555, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4728, root_relative_squared_error: 0.9478, scimark_benchmark: 919.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, build_cpu_time: 0.2059, build_memory: 117609823.2, f_measure: 0.8818, kappa: 0.7622, kb_relative_information_score: 376.6485, mean_absolute_error: 0.1238, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8824, predictive_accuracy: 0.882, prior_entropy: 0.9967, recall: 0.882, relative_absolute_error: 0.2487, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3155, root_relative_squared_error: 0.6324, scimark_benchmark: 902.0906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9067, build_cpu_time: 0.0018, build_memory: 630984325.6, f_measure: 0.8592, kappa: 0.7168, kb_relative_information_score: 305.2179, mean_absolute_error: 0.2046, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8625, predictive_accuracy: 0.86, prior_entropy: 0.9967, recall: 0.86, relative_absolute_error: 0.4111, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3367, root_relative_squared_error: 0.6749, scimark_benchmark: 933.1799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9568, build_cpu_time: 0.0866, build_memory: 192320828.8, f_measure: 0.8916, kappa: 0.7819, kb_relative_information_score: 343.8629, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8935, predictive_accuracy: 0.892, prior_entropy: 0.9967, recall: 0.892, relative_absolute_error: 0.3324, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.2869, root_relative_squared_error: 0.5751, scimark_benchmark: 938.6628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8633, build_cpu_time: 0.0236, build_memory: 266670857.6, f_measure: 0.8438, kappa: 0.6859, kb_relative_information_score: 310.7836, mean_absolute_error: 0.1985, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.844, predictive_accuracy: 0.844, prior_entropy: 0.9967, recall: 0.844, relative_absolute_error: 0.3988, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3629, root_relative_squared_error: 0.7275, scimark_benchmark: 933.9469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8199, build_cpu_time: 0.0002, build_memory: 780196717.6, f_measure: 0.8217, kappa: 0.6415, kb_relative_information_score: 319.7708, mean_absolute_error: 0.1794, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.822, predictive_accuracy: 0.822, prior_entropy: 0.9967, recall: 0.822, relative_absolute_error: 0.3605, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.421, root_relative_squared_error: 0.8439, scimark_benchmark: 938.6628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5043, build_cpu_time: 0.1324, build_memory: 1213098090.4, f_measure: 0.3807, kappa: 0.0092, kb_relative_information_score: 34.9143, mean_absolute_error: 0.462, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.7523, predictive_accuracy: 0.538, prior_entropy: 0.9967, recall: 0.538, relative_absolute_error: 0.9283, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.6797, root_relative_squared_error: 1.3626, scimark_benchmark: 940.4464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6989, build_cpu_time: 0.0078, build_memory: 985153704.8, f_measure: 0.7001, kappa: 0.3975, kb_relative_information_score: 197.9917, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.7002, predictive_accuracy: 0.7, prior_entropy: 0.9967, recall: 0.7, relative_absolute_error: 0.6028, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.098, scimark_benchmark: 942.9216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7126, build_cpu_time: 0.019, build_memory: 1311222712, f_measure: 0.7123, kappa: 0.4235, kb_relative_information_score: 210.0715, mean_absolute_error: 0.288, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.7138, predictive_accuracy: 0.712, prior_entropy: 0.9967, recall: 0.712, relative_absolute_error: 0.5787, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.5367, root_relative_squared_error: 1.0758, scimark_benchmark: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7228, build_cpu_time: 0.0041, build_memory: 31871966.4, f_measure: 0.6503, kappa: 0.2965, kb_relative_information_score: 90.8076, mean_absolute_error: 0.418, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6511, predictive_accuracy: 0.652, prior_entropy: 0.9967, recall: 0.652, relative_absolute_error: 0.8399, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4606, root_relative_squared_error: 0.9233, scimark_benchmark: 942.9216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9469, build_cpu_time: 0.0177, build_memory: 322910856, f_measure: 0.8756, kappa: 0.7498, kb_relative_information_score: 321.518, mean_absolute_error: 0.1901, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.877, predictive_accuracy: 0.876, prior_entropy: 0.9967, recall: 0.876, relative_absolute_error: 0.382, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3043, root_relative_squared_error: 0.6101, scimark_benchmark: 920.6941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9469, build_cpu_time: 0.017, build_memory: 659005930.4, f_measure: 0.8756, kappa: 0.7498, kb_relative_information_score: 321.518, mean_absolute_error: 0.1901, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.877, predictive_accuracy: 0.876, prior_entropy: 0.9967, recall: 0.876, relative_absolute_error: 0.382, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3043, root_relative_squared_error: 0.6101, scimark_benchmark: 933.0871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8721, build_cpu_time: 0.0166, build_memory: 134661006.4, f_measure: 0.7998, kappa: 0.5975, kb_relative_information_score: 225.1097, mean_absolute_error: 0.2896, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.7998, predictive_accuracy: 0.8, prior_entropy: 0.9967, recall: 0.8, relative_absolute_error: 0.5819, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3787, root_relative_squared_error: 0.7591, scimark_benchmark: 933.0871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, build_cpu_time: 0.0053, build_memory: 678850369.6, f_measure: 0.8537, kappa: 0.7058, kb_relative_information_score: 343.0983, mean_absolute_error: 0.1592, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8543, predictive_accuracy: 0.854, prior_entropy: 0.9967, recall: 0.854, relative_absolute_error: 0.3199, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3638, root_relative_squared_error: 0.7294, scimark_benchmark: 938.2445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, build_cpu_time: 0.0052, build_memory: 202905160, f_measure: 0.8537, kappa: 0.7058, kb_relative_information_score: 343.0983, mean_absolute_error: 0.1592, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8543, predictive_accuracy: 0.854, prior_entropy: 0.9967, recall: 0.854, relative_absolute_error: 0.3199, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3638, root_relative_squared_error: 0.7294, scimark_benchmark: 927.6633,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, build_cpu_time: 0.2803, build_memory: 841651667.2, f_measure: 0.8959, kappa: 0.7907, kb_relative_information_score: 392.8756, mean_absolute_error: 0.1064, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8961, predictive_accuracy: 0.896, prior_entropy: 0.9967, recall: 0.896, relative_absolute_error: 0.2138, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3103, root_relative_squared_error: 0.6221, scimark_benchmark: 941.4059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, build_cpu_time: 0.2799, build_memory: 1109003883.2, f_measure: 0.8959, kappa: 0.7907, kb_relative_information_score: 392.8756, mean_absolute_error: 0.1064, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8961, predictive_accuracy: 0.896, prior_entropy: 0.9967, recall: 0.896, relative_absolute_error: 0.2138, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3103, root_relative_squared_error: 0.6221, scimark_benchmark: 939.9671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9444, build_cpu_time: 0.1383, build_memory: 847429223.2, f_measure: 0.8779, kappa: 0.7547, kb_relative_information_score: 376.6538, mean_absolute_error: 0.1228, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.878, predictive_accuracy: 0.878, prior_entropy: 0.9967, recall: 0.878, relative_absolute_error: 0.2467, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3337, root_relative_squared_error: 0.6689, scimark_benchmark: 940.9202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9541, build_cpu_time: 1.3052, build_memory: 333577905.6, f_measure: 0.8854, kappa: 0.7695, kb_relative_information_score: 331.3634, mean_absolute_error: 0.1797, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8886, predictive_accuracy: 0.886, prior_entropy: 0.9967, recall: 0.886, relative_absolute_error: 0.3611, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.2924, root_relative_squared_error: 0.5861, scimark_benchmark: 939.7477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9551, build_cpu_time: 2.2902, build_memory: 2493678970.4, f_measure: 0.8774, kappa: 0.7533, kb_relative_information_score: 330.0592, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8805, predictive_accuracy: 0.878, prior_entropy: 0.9967, recall: 0.878, relative_absolute_error: 0.3641, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.2916, root_relative_squared_error: 0.5846, scimark_benchmark: 943.9124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, build_cpu_time: 0.5059, build_memory: 1233226148, f_measure: 0.8814, kappa: 0.7615, kb_relative_information_score: 344.8727, mean_absolute_error: 0.1638, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8841, predictive_accuracy: 0.882, prior_entropy: 0.9967, recall: 0.882, relative_absolute_error: 0.3291, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.2929, root_relative_squared_error: 0.5871, scimark_benchmark: 935.8496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9489, build_cpu_time: 0.2914, build_memory: 1033367253.6, f_measure: 0.8835, kappa: 0.7656, kb_relative_information_score: 344.3691, mean_absolute_error: 0.1641, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8859, predictive_accuracy: 0.884, prior_entropy: 0.9967, recall: 0.884, relative_absolute_error: 0.3297, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.2966, root_relative_squared_error: 0.5946, scimark_benchmark: 939.3051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9479, build_cpu_time: 0.1438, build_memory: 1266370802.4, f_measure: 0.8815, kappa: 0.7617, kb_relative_information_score: 343.6766, mean_absolute_error: 0.1647, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8836, predictive_accuracy: 0.882, prior_entropy: 0.9967, recall: 0.882, relative_absolute_error: 0.3309, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.299, root_relative_squared_error: 0.5994, scimark_benchmark: 946.6447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9503, build_cpu_time: 0.0852, build_memory: 1691165060.8, f_measure: 0.8735, kappa: 0.7455, kb_relative_information_score: 344.1868, mean_absolute_error: 0.1634, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8755, predictive_accuracy: 0.874, prior_entropy: 0.9967, recall: 0.874, relative_absolute_error: 0.3283, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.2967, root_relative_squared_error: 0.5947, scimark_benchmark: 943.7326,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

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

OpenML APIs