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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: fopen

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_c3_250_5

Supervised Classification on fri_c3_250_5

Task 3610 Supervised Classification fri_c3_250_5 626 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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626 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9456, build_cpu_time: 0.0721, build_memory: 810722597.6, f_measure: 0.8676, kappa: 0.7302, kb_relative_information_score: 180.0096, mean_absolute_error: 0.1374, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.8679, predictive_accuracy: 0.868, prior_entropy: 0.9883, recall: 0.868, relative_absolute_error: 0.2793, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3442, root_relative_squared_error: 0.6941, scimark_benchmark: 893.4088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.938, build_cpu_time: 0.0325, build_memory: 473074259.2, f_measure: 0.8792, kappa: 0.7534, kb_relative_information_score: 186.5129, mean_absolute_error: 0.1244, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.8813, predictive_accuracy: 0.88, prior_entropy: 0.9883, recall: 0.88, relative_absolute_error: 0.2528, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3393, root_relative_squared_error: 0.6843, scimark_benchmark: 902.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, build_cpu_time: 0.0775, build_memory: 831705172.8, f_measure: 0.8917, kappa: 0.7793, kb_relative_information_score: 193.3684, mean_absolute_error: 0.111, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.8921, predictive_accuracy: 0.892, prior_entropy: 0.9883, recall: 0.892, relative_absolute_error: 0.2258, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3284, root_relative_squared_error: 0.6623, scimark_benchmark: 936.1433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9079, build_cpu_time: 0.1215, build_memory: 33350984.8, f_measure: 0.8794, kappa: 0.754, kb_relative_information_score: 189.8221, mean_absolute_error: 0.1171, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.8806, predictive_accuracy: 0.88, prior_entropy: 0.9883, recall: 0.88, relative_absolute_error: 0.2381, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.338, root_relative_squared_error: 0.6816, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, build_cpu_time: 0.2158, build_memory: 601620029.6, f_measure: 0.8754, kappa: 0.746, kb_relative_information_score: 186.8953, mean_absolute_error: 0.123, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.8763, predictive_accuracy: 0.876, prior_entropy: 0.9883, recall: 0.876, relative_absolute_error: 0.2502, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3485, root_relative_squared_error: 0.7029, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8939, build_cpu_time: 0.3085, build_memory: 722809655.2, f_measure: 0.8754, kappa: 0.746, kb_relative_information_score: 187.274, mean_absolute_error: 0.1225, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.8763, predictive_accuracy: 0.876, prior_entropy: 0.9883, recall: 0.876, relative_absolute_error: 0.249, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3477, root_relative_squared_error: 0.7012, scimark_benchmark: 937.6343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.848, build_cpu_time: 0.0177, build_memory: 338858534.4, f_measure: 0.8517, kappa: 0.6981, kb_relative_information_score: 173.0672, mean_absolute_error: 0.1511, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.8517, predictive_accuracy: 0.852, prior_entropy: 0.9883, recall: 0.852, relative_absolute_error: 0.3072, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.383, root_relative_squared_error: 0.7724, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.848, build_cpu_time: 0.0144, build_memory: 269145065.6, f_measure: 0.8517, kappa: 0.6981, kb_relative_information_score: 173.0672, mean_absolute_error: 0.1511, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.8517, predictive_accuracy: 0.852, prior_entropy: 0.9883, recall: 0.852, relative_absolute_error: 0.3072, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.383, root_relative_squared_error: 0.7724, scimark_benchmark: 873.8637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.848, build_cpu_time: 0.0098, build_memory: 877116267.2, f_measure: 0.8517, kappa: 0.6981, kb_relative_information_score: 173.0672, mean_absolute_error: 0.1511, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.8517, predictive_accuracy: 0.852, prior_entropy: 0.9883, recall: 0.852, relative_absolute_error: 0.3072, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.383, root_relative_squared_error: 0.7724, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9454, build_cpu_time: 0.1263, build_memory: 496820581.6, f_measure: 0.8877, kappa: 0.7713, kb_relative_information_score: 179.2953, mean_absolute_error: 0.1436, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.8879, predictive_accuracy: 0.888, prior_entropy: 0.9883, recall: 0.888, relative_absolute_error: 0.2919, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3069, root_relative_squared_error: 0.6189, scimark_benchmark: 945.0554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8908, build_cpu_time: 0.6306, build_memory: 1014181052.8, f_measure: 0.8758, kappa: 0.7471, kb_relative_information_score: 186.4209, mean_absolute_error: 0.1242, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.8758, predictive_accuracy: 0.876, prior_entropy: 0.9883, recall: 0.876, relative_absolute_error: 0.2525, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.352, root_relative_squared_error: 0.7099, scimark_benchmark: 931.6567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8963, build_cpu_time: 0.3244, build_memory: 751286345.6, f_measure: 0.872, kappa: 0.7397, kb_relative_information_score: 186.3833, mean_absolute_error: 0.1238, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.872, predictive_accuracy: 0.872, prior_entropy: 0.9883, recall: 0.872, relative_absolute_error: 0.2516, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3475, root_relative_squared_error: 0.7008, scimark_benchmark: 946.8618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9212, build_cpu_time: 0.1552, build_memory: 1071104935.2, f_measure: 0.8681, kappa: 0.7319, kb_relative_information_score: 181.2021, mean_absolute_error: 0.1342, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.8682, predictive_accuracy: 0.868, prior_entropy: 0.9883, recall: 0.868, relative_absolute_error: 0.2727, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3492, root_relative_squared_error: 0.7042, scimark_benchmark: 947.7459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9342, build_cpu_time: 0.1128, build_memory: 965204266.4, f_measure: 0.848, kappa: 0.6909, kb_relative_information_score: 172.2788, mean_absolute_error: 0.1517, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.848, predictive_accuracy: 0.848, prior_entropy: 0.9883, recall: 0.848, relative_absolute_error: 0.3084, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3671, root_relative_squared_error: 0.7403, scimark_benchmark: 937.2031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7234, build_cpu_time: 0.2675, build_memory: 195157533.6, f_measure: 0.665, kappa: 0.3225, kb_relative_information_score: 51.7723, mean_absolute_error: 0.3988, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.6674, predictive_accuracy: 0.664, prior_entropy: 0.9883, recall: 0.664, relative_absolute_error: 0.8108, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4673, root_relative_squared_error: 0.9425, scimark_benchmark: 920.2722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9512, build_cpu_time: 0.1062, build_memory: 922266386.4, f_measure: 0.8761, kappa: 0.7481, kb_relative_information_score: 184.9989, mean_absolute_error: 0.1271, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.8762, predictive_accuracy: 0.876, prior_entropy: 0.9883, recall: 0.876, relative_absolute_error: 0.2583, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3336, root_relative_squared_error: 0.6726, scimark_benchmark: 913.4921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9003, build_cpu_time: 0.0009, build_memory: 513794839.2, f_measure: 0.8324, kappa: 0.6605, kb_relative_information_score: 142.6454, mean_absolute_error: 0.2195, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.8338, predictive_accuracy: 0.832, prior_entropy: 0.9883, recall: 0.832, relative_absolute_error: 0.4462, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3543, root_relative_squared_error: 0.7145, scimark_benchmark: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9565, build_cpu_time: 0.0668, build_memory: 985786756.8, f_measure: 0.8721, kappa: 0.7403, kb_relative_information_score: 159.8906, mean_absolute_error: 0.1894, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.8724, predictive_accuracy: 0.872, prior_entropy: 0.9883, recall: 0.872, relative_absolute_error: 0.3851, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.2921, root_relative_squared_error: 0.5891, scimark_benchmark: 928.1083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8305, build_cpu_time: 0.0067, build_memory: 1483091692, f_measure: 0.8124, kappa: 0.6197, kb_relative_information_score: 134.9842, mean_absolute_error: 0.2361, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.8135, predictive_accuracy: 0.812, prior_entropy: 0.9883, recall: 0.812, relative_absolute_error: 0.4799, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3986, root_relative_squared_error: 0.8038, scimark_benchmark: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.848, build_cpu_time: 0.0001, build_memory: 759672945.6, f_measure: 0.8517, kappa: 0.6981, kb_relative_information_score: 173.0672, mean_absolute_error: 0.1511, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.8517, predictive_accuracy: 0.852, prior_entropy: 0.9883, recall: 0.852, relative_absolute_error: 0.3072, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.383, root_relative_squared_error: 0.7724, scimark_benchmark: 945.4085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.0204, build_memory: 285284175.2, f_measure: 0.4068, kb_relative_information_score: 26.7935, mean_absolute_error: 0.436, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.3181, predictive_accuracy: 0.564, prior_entropy: 0.9883, recall: 0.564, relative_absolute_error: 0.8864, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.6603, root_relative_squared_error: 1.3316, scimark_benchmark: 936.8995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6582, build_cpu_time: 0.0099, build_memory: 805041725.6, f_measure: 0.6678, kappa: 0.3218, kb_relative_information_score: 82.0715, mean_absolute_error: 0.328, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.6693, predictive_accuracy: 0.672, prior_entropy: 0.9883, recall: 0.672, relative_absolute_error: 0.6668, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.5727, root_relative_squared_error: 1.1549, scimark_benchmark: 945.4085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6574, build_cpu_time: 0.0092, build_memory: 232361428, f_measure: 0.6636, kappa: 0.3154, kb_relative_information_score: 77.9768, mean_absolute_error: 0.336, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.6633, predictive_accuracy: 0.664, prior_entropy: 0.9883, recall: 0.664, relative_absolute_error: 0.6831, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.5797, root_relative_squared_error: 1.1689, scimark_benchmark: 948.6597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7554, build_cpu_time: 0.0035, build_memory: 732060328, f_measure: 0.6918, kappa: 0.3731, kb_relative_information_score: 57.3669, mean_absolute_error: 0.3877, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.6917, predictive_accuracy: 0.692, prior_entropy: 0.9883, recall: 0.692, relative_absolute_error: 0.7882, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4463, root_relative_squared_error: 0.9, scimark_benchmark: 946.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7354, build_cpu_time: 0.0005, build_memory: 94608539.2, f_measure: 0.7337, kappa: 0.4564, kb_relative_information_score: 65.7413, mean_absolute_error: 0.3754, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.7349, predictive_accuracy: 0.736, prior_entropy: 0.9883, recall: 0.736, relative_absolute_error: 0.7633, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4567, root_relative_squared_error: 0.921, scimark_benchmark: 946.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7354, build_cpu_time: 0.0006, build_memory: 25243580.8, f_measure: 0.7337, kappa: 0.4564, kb_relative_information_score: 65.7413, mean_absolute_error: 0.3754, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.7349, predictive_accuracy: 0.736, prior_entropy: 0.9883, recall: 0.736, relative_absolute_error: 0.7633, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4567, root_relative_squared_error: 0.921, scimark_benchmark: 942.9279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, build_cpu_time: 0.0078, build_memory: 1036630896, f_measure: 0.8602, kappa: 0.7162, kb_relative_information_score: 143.8354, mean_absolute_error: 0.2224, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.8606, predictive_accuracy: 0.86, prior_entropy: 0.9883, recall: 0.86, relative_absolute_error: 0.4522, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3253, root_relative_squared_error: 0.6559, scimark_benchmark: 945.1122,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8685, build_cpu_time: 0.009, build_memory: 170716627.2, f_measure: 0.7723, kappa: 0.5378, kb_relative_information_score: 109.2638, mean_absolute_error: 0.2884, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.7729, predictive_accuracy: 0.772, prior_entropy: 0.9883, recall: 0.772, relative_absolute_error: 0.5863, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3808, root_relative_squared_error: 0.7679, scimark_benchmark: 945.4151,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8685, build_cpu_time: 0.0085, build_memory: 104769037.6, f_measure: 0.7723, kappa: 0.5378, kb_relative_information_score: 109.2638, mean_absolute_error: 0.2884, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.7729, predictive_accuracy: 0.772, prior_entropy: 0.9883, recall: 0.772, relative_absolute_error: 0.5863, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3808, root_relative_squared_error: 0.7679, scimark_benchmark: 945.1122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7545, build_cpu_time: 0.0007, build_memory: 664212720, f_measure: 0.7565, kappa: 0.5064, kb_relative_information_score: 125.0655, mean_absolute_error: 0.244, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.7577, predictive_accuracy: 0.756, prior_entropy: 0.9883, recall: 0.756, relative_absolute_error: 0.4961, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.494, root_relative_squared_error: 0.9961, scimark_benchmark: 947.5974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.873, build_cpu_time: 0.0021, build_memory: 569014806.4, f_measure: 0.8439, kappa: 0.6825, kb_relative_information_score: 162.181, mean_absolute_error: 0.1767, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.8439, predictive_accuracy: 0.844, prior_entropy: 0.9883, recall: 0.844, relative_absolute_error: 0.3593, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3758, root_relative_squared_error: 0.7579, scimark_benchmark: 949.9767,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9548, build_cpu_time: 0.7736, build_memory: 2119880160.8, f_measure: 0.8922, kappa: 0.7811, kb_relative_information_score: 169.7348, mean_absolute_error: 0.1668, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.8926, predictive_accuracy: 0.892, prior_entropy: 0.9883, recall: 0.892, relative_absolute_error: 0.3391, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.2878, root_relative_squared_error: 0.5804, scimark_benchmark: 902.3233,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9598, build_cpu_time: 5.4304, build_memory: 1640097710.4, f_measure: 0.8922, kappa: 0.7815, kb_relative_information_score: 167.067, mean_absolute_error: 0.1747, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.8932, predictive_accuracy: 0.892, prior_entropy: 0.9883, recall: 0.892, relative_absolute_error: 0.3553, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.2832, root_relative_squared_error: 0.5712, scimark_benchmark: 890.4487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9606, build_cpu_time: 10.4341, build_memory: 1044127328, f_measure: 0.8882, kappa: 0.7732, kb_relative_information_score: 166.7436, mean_absolute_error: 0.1757, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.8889, predictive_accuracy: 0.888, prior_entropy: 0.9883, recall: 0.888, relative_absolute_error: 0.3572, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.282, root_relative_squared_error: 0.5687, scimark_benchmark: 931.9798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.905, build_cpu_time: 1.1451, build_memory: 1352354609.6, f_measure: 0.8879, kappa: 0.7718, kb_relative_information_score: 190.8948, mean_absolute_error: 0.1158, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.8879, predictive_accuracy: 0.888, prior_entropy: 0.9883, recall: 0.888, relative_absolute_error: 0.2355, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3364, root_relative_squared_error: 0.6785, scimark_benchmark: 941.4198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9114, build_cpu_time: 0.4901, build_memory: 1216784949.6, f_measure: 0.8879, kappa: 0.7718, kb_relative_information_score: 192.6966, mean_absolute_error: 0.1118, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.8879, predictive_accuracy: 0.888, prior_entropy: 0.9883, recall: 0.888, relative_absolute_error: 0.2273, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3339, root_relative_squared_error: 0.6733, scimark_benchmark: 944.0892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9289, build_cpu_time: 0.2545, build_memory: 750000198.4, f_measure: 0.8879, kappa: 0.7718, kb_relative_information_score: 193.2431, mean_absolute_error: 0.1106, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.8879, predictive_accuracy: 0.888, prior_entropy: 0.9883, recall: 0.888, relative_absolute_error: 0.2249, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.33, root_relative_squared_error: 0.6655, scimark_benchmark: 944.2618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9273, build_cpu_time: 0.1583, build_memory: 1195646294.4, f_measure: 0.9001, kappa: 0.7969, kb_relative_information_score: 196.0682, mean_absolute_error: 0.1058, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.9001, predictive_accuracy: 0.9, prior_entropy: 0.9883, recall: 0.9, relative_absolute_error: 0.2151, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3125, root_relative_squared_error: 0.6303, scimark_benchmark: 944.0386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9466, build_cpu_time: 0.5169, build_memory: 73482857.6, f_measure: 0.8676, kappa: 0.7302, kb_relative_information_score: 152.4717, mean_absolute_error: 0.2053, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.8679, predictive_accuracy: 0.868, prior_entropy: 0.9883, recall: 0.868, relative_absolute_error: 0.4174, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3059, root_relative_squared_error: 0.6168, scimark_benchmark: 945.9692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9429, build_cpu_time: 0.7905, build_memory: 602345677.6, f_measure: 0.8758, kappa: 0.7471, kb_relative_information_score: 150.7219, mean_absolute_error: 0.209, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.8758, predictive_accuracy: 0.876, prior_entropy: 0.9883, recall: 0.876, relative_absolute_error: 0.4249, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3102, root_relative_squared_error: 0.6255, scimark_benchmark: 943.696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9431, build_cpu_time: 0.2156, build_memory: 543379479.2, f_measure: 0.864, kappa: 0.7235, kb_relative_information_score: 158.7139, mean_absolute_error: 0.1896, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.864, predictive_accuracy: 0.864, prior_entropy: 0.9883, recall: 0.864, relative_absolute_error: 0.3854, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3085, root_relative_squared_error: 0.622, scimark_benchmark: 944.2205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, build_cpu_time: 0.1021, build_memory: 1266657702.4, f_measure: 0.872, kappa: 0.7397, kb_relative_information_score: 158.9588, mean_absolute_error: 0.1888, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.872, predictive_accuracy: 0.872, prior_entropy: 0.9883, recall: 0.872, relative_absolute_error: 0.3839, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3091, root_relative_squared_error: 0.6232, scimark_benchmark: 944.8463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9344, build_cpu_time: 0.0477, build_memory: 2479789699.2, f_measure: 0.8558, kappa: 0.7066, kb_relative_information_score: 156.2872, mean_absolute_error: 0.1932, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.8558, predictive_accuracy: 0.856, prior_entropy: 0.9883, recall: 0.856, relative_absolute_error: 0.3927, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3165, root_relative_squared_error: 0.6382, scimark_benchmark: 935.1171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9307, build_cpu_time: 0.0315, build_memory: 144924376.8, f_measure: 0.8602, kappa: 0.7162, kb_relative_information_score: 157.1953, mean_absolute_error: 0.1908, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.8606, predictive_accuracy: 0.86, prior_entropy: 0.9883, recall: 0.86, relative_absolute_error: 0.3878, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3178, root_relative_squared_error: 0.6409, scimark_benchmark: 947.174,

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

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