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A PHP Error was encountered

Severity: Warning

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Backtrace:

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Function: fopen

File: /var/www/openml/openml_OS/core/MY_Database_Read_Model.php
Line: 30
Function: sql

File: /var/www/openml/openml_OS/views/pages/frontend/t/pre.php
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Function: query

File: /var/www/openml/openml_OS/helpers/cms_helper.php
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File: /var/www/openml/index.php
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Function: require_once

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Severity: Warning

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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
Line: 337
Function: require_once

OpenML
OpenML
Supervised Classification on fri_c2_100_25

Supervised Classification on fri_c2_100_25

Task 3641 Supervised Classification fri_c2_100_25 564 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: 0.828, build_cpu_time: 0.1836, build_memory: 1218854847.2, f_measure: 0.7784, kappa: 0.546, kb_relative_information_score: 54.5439, mean_absolute_error: 0.221, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7793, predictive_accuracy: 0.78, prior_entropy: 0.9864, recall: 0.78, relative_absolute_error: 0.4506, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4591, root_relative_squared_error: 0.9273, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8154, build_cpu_time: 0.1269, build_memory: 1494034625.6, f_measure: 0.7592, kappa: 0.5076, kb_relative_information_score: 50.7568, mean_absolute_error: 0.239, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.759, predictive_accuracy: 0.76, prior_entropy: 0.9864, recall: 0.76, relative_absolute_error: 0.4874, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4799, root_relative_squared_error: 0.9692, scimark_benchmark: 934.8107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8299, build_cpu_time: 0.0678, build_memory: 870104757.6, f_measure: 0.7582, kappa: 0.5047, kb_relative_information_score: 50.9322, mean_absolute_error: 0.2381, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7589, predictive_accuracy: 0.76, prior_entropy: 0.9864, recall: 0.76, relative_absolute_error: 0.4856, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4755, root_relative_squared_error: 0.9605, scimark_benchmark: 933.4498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8027, build_cpu_time: 0.0502, build_memory: 756905171.2, f_measure: 0.7582, kappa: 0.5047, kb_relative_information_score: 49.2795, mean_absolute_error: 0.2473, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7589, predictive_accuracy: 0.76, prior_entropy: 0.9864, recall: 0.76, relative_absolute_error: 0.5042, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4648, root_relative_squared_error: 0.9389, scimark_benchmark: 902.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8005, build_cpu_time: 0.043, build_memory: 630713619.2, f_measure: 0.7688, kappa: 0.5267, kb_relative_information_score: 51.3297, mean_absolute_error: 0.2372, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.769, predictive_accuracy: 0.77, prior_entropy: 0.9864, recall: 0.77, relative_absolute_error: 0.4836, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4765, root_relative_squared_error: 0.9625, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8176, build_cpu_time: 0.0541, build_memory: 172302467.2, f_measure: 0.7889, kappa: 0.5679, kb_relative_information_score: 56.2627, mean_absolute_error: 0.2132, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7893, predictive_accuracy: 0.79, prior_entropy: 0.9864, recall: 0.79, relative_absolute_error: 0.4347, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4534, root_relative_squared_error: 0.9158, scimark_benchmark: 935.6292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8021, build_cpu_time: 0.106, build_memory: 135409332.8, f_measure: 0.78, kappa: 0.5512, kb_relative_information_score: 54.3467, mean_absolute_error: 0.2221, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.78, predictive_accuracy: 0.78, prior_entropy: 0.9864, recall: 0.78, relative_absolute_error: 0.453, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4678, root_relative_squared_error: 0.9449, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7834, build_cpu_time: 0.212, build_memory: 582172212.8, f_measure: 0.7582, kappa: 0.5047, kb_relative_information_score: 51.5026, mean_absolute_error: 0.2354, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7589, predictive_accuracy: 0.76, prior_entropy: 0.9864, recall: 0.76, relative_absolute_error: 0.4799, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4821, root_relative_squared_error: 0.9739, scimark_benchmark: 873.8637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8099, build_cpu_time: 0.451, build_memory: 836918755.2, f_measure: 0.7784, kappa: 0.546, kb_relative_information_score: 55.1508, mean_absolute_error: 0.2176, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7793, predictive_accuracy: 0.78, prior_entropy: 0.9864, recall: 0.78, relative_absolute_error: 0.4437, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4634, root_relative_squared_error: 0.936, scimark_benchmark: 890.3066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5541, build_cpu_time: 0.0141, build_memory: 207835029.6, f_measure: 0.5611, kappa: 0.1075, kb_relative_information_score: 9.3125, mean_absolute_error: 0.4413, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.5626, predictive_accuracy: 0.56, prior_entropy: 0.9864, recall: 0.56, relative_absolute_error: 0.8999, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.6562, root_relative_squared_error: 1.3254, scimark_benchmark: 936.1433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5541, build_cpu_time: 0.0076, build_memory: 106216356, f_measure: 0.5611, kappa: 0.1075, kb_relative_information_score: 9.3125, mean_absolute_error: 0.4413, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.5626, predictive_accuracy: 0.56, prior_entropy: 0.9864, recall: 0.56, relative_absolute_error: 0.8999, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.6562, root_relative_squared_error: 1.3254, scimark_benchmark: 923.3659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5541, build_cpu_time: 0.0059, build_memory: 754147769.6, f_measure: 0.5611, kappa: 0.1075, kb_relative_information_score: 9.3125, mean_absolute_error: 0.4413, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.5626, predictive_accuracy: 0.56, prior_entropy: 0.9864, recall: 0.56, relative_absolute_error: 0.8999, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.6562, root_relative_squared_error: 1.3254, scimark_benchmark: 907.4175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7781, build_cpu_time: 0.1319, build_memory: 149232260.8, f_measure: 0.7406, kappa: 0.4726, kb_relative_information_score: 48.058, mean_absolute_error: 0.2521, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7419, predictive_accuracy: 0.74, prior_entropy: 0.9864, recall: 0.74, relative_absolute_error: 0.514, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.483, root_relative_squared_error: 0.9756, scimark_benchmark: 922.3661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8152, build_cpu_time: 0.6645, build_memory: 863505292.8, f_measure: 0.7985, kappa: 0.5873, kb_relative_information_score: 59.2928, mean_absolute_error: 0.1971, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7997, predictive_accuracy: 0.8, prior_entropy: 0.9864, recall: 0.8, relative_absolute_error: 0.402, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.441, root_relative_squared_error: 0.8908, scimark_benchmark: 923.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8352, build_cpu_time: 0.3682, build_memory: 810734896.8, f_measure: 0.8071, kappa: 0.6045, kb_relative_information_score: 61.1034, mean_absolute_error: 0.1888, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8126, predictive_accuracy: 0.81, prior_entropy: 0.9864, recall: 0.81, relative_absolute_error: 0.3851, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.425, root_relative_squared_error: 0.8585, scimark_benchmark: 947.7459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8584, build_cpu_time: 0.1609, build_memory: 1033680783.2, f_measure: 0.8187, kappa: 0.6286, kb_relative_information_score: 61.6699, mean_absolute_error: 0.1867, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.82, predictive_accuracy: 0.82, prior_entropy: 0.9864, recall: 0.82, relative_absolute_error: 0.3808, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4164, root_relative_squared_error: 0.8412, scimark_benchmark: 947.7459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8423, build_cpu_time: 0.1258, build_memory: 1325636716, f_measure: 0.7879, kappa: 0.5654, kb_relative_information_score: 56.3965, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.79, predictive_accuracy: 0.79, prior_entropy: 0.9864, recall: 0.79, relative_absolute_error: 0.4344, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4307, root_relative_squared_error: 0.87, scimark_benchmark: 943.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6707, build_cpu_time: 0.2922, build_memory: 150686987.2, f_measure: 0.66, kappa: 0.3064, kb_relative_information_score: 21.7114, mean_absolute_error: 0.387, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.66, predictive_accuracy: 0.66, prior_entropy: 0.9864, recall: 0.66, relative_absolute_error: 0.7892, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.5157, root_relative_squared_error: 1.0417, scimark_benchmark: 905.4188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8537, build_cpu_time: 0.1021, build_memory: 365563144.8, f_measure: 0.78, kappa: 0.5512, kb_relative_information_score: 54.1303, mean_absolute_error: 0.2237, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.78, predictive_accuracy: 0.78, prior_entropy: 0.9864, recall: 0.78, relative_absolute_error: 0.4561, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4353, root_relative_squared_error: 0.8792, scimark_benchmark: 945.384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, build_cpu_time: 0.0216, build_memory: 40071614.4, f_measure: 0.8178, kappa: 0.6264, kb_relative_information_score: 56.4983, mean_absolute_error: 0.2189, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8217, predictive_accuracy: 0.82, prior_entropy: 0.9864, recall: 0.82, relative_absolute_error: 0.4464, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3817, root_relative_squared_error: 0.7709, scimark_benchmark: 947.4397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8851, build_cpu_time: 0.0418, build_memory: 193882940, f_measure: 0.8395, kappa: 0.6717, kb_relative_information_score: 42.6503, mean_absolute_error: 0.3044, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8396, predictive_accuracy: 0.84, prior_entropy: 0.9864, recall: 0.84, relative_absolute_error: 0.6207, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3643, root_relative_squared_error: 0.7359, scimark_benchmark: 928.1083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8299, build_cpu_time: 0.0051, build_memory: 586186752.8, f_measure: 0.8, kappa: 0.592, kb_relative_information_score: 52.005, mean_absolute_error: 0.2446, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 0.9864, recall: 0.8, relative_absolute_error: 0.4989, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4065, root_relative_squared_error: 0.8211, scimark_benchmark: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5541, build_cpu_time: 0.0002, build_memory: 669493816, f_measure: 0.5611, kappa: 0.1075, kb_relative_information_score: 9.3125, mean_absolute_error: 0.4413, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.5626, predictive_accuracy: 0.56, prior_entropy: 0.9864, recall: 0.56, relative_absolute_error: 0.8999, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.6562, root_relative_squared_error: 1.3254, scimark_benchmark: 933.1799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.0058, build_memory: 887601788, f_measure: 0.4139, kb_relative_information_score: 11.5598, mean_absolute_error: 0.43, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.3249, predictive_accuracy: 0.57, prior_entropy: 0.9864, recall: 0.57, relative_absolute_error: 0.8768, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.6557, root_relative_squared_error: 1.3245, scimark_benchmark: 931.9838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6444, build_cpu_time: 0.008, build_memory: 183505929.6, f_measure: 0.6505, kappa: 0.288, kb_relative_information_score: 28.0035, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.6511, predictive_accuracy: 0.65, prior_entropy: 0.9864, recall: 0.65, relative_absolute_error: 0.7137, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.195, scimark_benchmark: 937.4673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6591, build_cpu_time: 0.0099, build_memory: 725728392, f_measure: 0.6683, kappa: 0.321, kb_relative_information_score: 32.1144, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.6678, predictive_accuracy: 0.67, prior_entropy: 0.9864, recall: 0.67, relative_absolute_error: 0.6729, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.5745, root_relative_squared_error: 1.1603, scimark_benchmark: 945.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6552, build_cpu_time: 0.005, build_memory: 96605342.4, f_measure: 0.711, kappa: 0.4134, kb_relative_information_score: 24.7508, mean_absolute_error: 0.376, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7132, predictive_accuracy: 0.71, prior_entropy: 0.9864, recall: 0.71, relative_absolute_error: 0.7667, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.5157, root_relative_squared_error: 1.0417, scimark_benchmark: 943.1817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7809, build_cpu_time: 0.0008, build_memory: 276505734.4, f_measure: 0.7907, kappa: 0.5752, kb_relative_information_score: 47.9731, mean_absolute_error: 0.2652, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7928, predictive_accuracy: 0.79, prior_entropy: 0.9864, recall: 0.79, relative_absolute_error: 0.5407, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4164, root_relative_squared_error: 0.8411, scimark_benchmark: 945.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.835, build_cpu_time: 0.0067, build_memory: 921013441.6, f_measure: 0.8395, kappa: 0.6717, kb_relative_information_score: 46.5001, mean_absolute_error: 0.2821, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8396, predictive_accuracy: 0.84, prior_entropy: 0.9864, recall: 0.84, relative_absolute_error: 0.5752, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3758, root_relative_squared_error: 0.759, scimark_benchmark: 945.1122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.835, build_cpu_time: 0.0076, build_memory: 1297616444, f_measure: 0.8395, kappa: 0.6717, kb_relative_information_score: 46.5001, mean_absolute_error: 0.2821, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8396, predictive_accuracy: 0.84, prior_entropy: 0.9864, recall: 0.84, relative_absolute_error: 0.5752, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3758, root_relative_squared_error: 0.759, scimark_benchmark: 940.7816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.796, build_cpu_time: 0.0143, build_memory: 183218055.2, f_measure: 0.7592, kappa: 0.5076, kb_relative_information_score: 43.2201, mean_absolute_error: 0.287, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.759, predictive_accuracy: 0.76, prior_entropy: 0.9864, recall: 0.76, relative_absolute_error: 0.5852, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4431, root_relative_squared_error: 0.895, scimark_benchmark: 920.6941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.796, build_cpu_time: 0.0128, build_memory: 142818316, f_measure: 0.7592, kappa: 0.5076, kb_relative_information_score: 43.2201, mean_absolute_error: 0.287, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.759, predictive_accuracy: 0.76, prior_entropy: 0.9864, recall: 0.76, relative_absolute_error: 0.5852, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4431, root_relative_squared_error: 0.895, scimark_benchmark: 940.7816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.796, build_cpu_time: 0.0129, build_memory: 126151563.2, f_measure: 0.7592, kappa: 0.5076, kb_relative_information_score: 43.2201, mean_absolute_error: 0.287, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.759, predictive_accuracy: 0.76, prior_entropy: 0.9864, recall: 0.76, relative_absolute_error: 0.5852, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4431, root_relative_squared_error: 0.895, scimark_benchmark: 933.0871,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7895, build_cpu_time: 0.0889, build_memory: 1210813828.8, f_measure: 0.7793, kappa: 0.5486, kb_relative_information_score: 45.2633, mean_absolute_error: 0.2818, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7792, predictive_accuracy: 0.78, prior_entropy: 0.9864, recall: 0.78, relative_absolute_error: 0.5747, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4124, root_relative_squared_error: 0.8331, scimark_benchmark: 905.0866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7895, build_cpu_time: 0.089, build_memory: 1222875698.4, f_measure: 0.7793, kappa: 0.5486, kb_relative_information_score: 45.2633, mean_absolute_error: 0.2818, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7792, predictive_accuracy: 0.78, prior_entropy: 0.9864, recall: 0.78, relative_absolute_error: 0.5747, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4124, root_relative_squared_error: 0.8331, scimark_benchmark: 947.3846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8623, build_cpu_time: 0.0125, build_memory: 1197739865.6, f_measure: 0.8058, kappa: 0.6022, kb_relative_information_score: 62.503, mean_absolute_error: 0.1815, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8159, predictive_accuracy: 0.81, prior_entropy: 0.9864, recall: 0.81, relative_absolute_error: 0.3702, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4024, root_relative_squared_error: 0.8128, scimark_benchmark: 939.6798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6406, build_cpu_time: 0.0262, build_memory: 276720636, f_measure: 0.6895, kappa: 0.3658, kb_relative_information_score: 24.7021, mean_absolute_error: 0.3749, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.6892, predictive_accuracy: 0.69, prior_entropy: 0.9864, recall: 0.69, relative_absolute_error: 0.7646, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.5249, root_relative_squared_error: 1.0602, scimark_benchmark: 938.6306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6907, build_cpu_time: 37.4928, build_memory: 1475573005.6, f_measure: 0.7104, kappa: 0.4101, kb_relative_information_score: 25.0138, mean_absolute_error: 0.3775, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7109, predictive_accuracy: 0.71, prior_entropy: 0.9864, recall: 0.71, relative_absolute_error: 0.7697, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4848, root_relative_squared_error: 0.9793, scimark_benchmark: 911.5913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.705, build_cpu_time: 89.3999, build_memory: 53394846.4, f_measure: 0.7104, kappa: 0.4101, kb_relative_information_score: 26.8188, mean_absolute_error: 0.3689, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7109, predictive_accuracy: 0.71, prior_entropy: 0.9864, recall: 0.71, relative_absolute_error: 0.7523, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4768, root_relative_squared_error: 0.9632, scimark_benchmark: 938.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8246, build_cpu_time: 0.0225, build_memory: 2753218919.2, f_measure: 0.82, kappa: 0.6328, kb_relative_information_score: 46.5742, mean_absolute_error: 0.2797, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.82, predictive_accuracy: 0.82, prior_entropy: 0.9864, recall: 0.82, relative_absolute_error: 0.5703, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3834, root_relative_squared_error: 0.7745, scimark_benchmark: 813.0234,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7042, build_cpu_time: 0.4906, build_memory: 1109771352, f_measure: 0.68, kappa: 0.3472, kb_relative_information_score: 34.2294, mean_absolute_error: 0.3195, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.68, predictive_accuracy: 0.68, prior_entropy: 0.9864, recall: 0.68, relative_absolute_error: 0.6515, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.5532, root_relative_squared_error: 1.1175, scimark_benchmark: 944.3501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8327, build_cpu_time: 0.0099, build_memory: 26571532, f_measure: 0.84, kappa: 0.6736, kb_relative_information_score: 47.3979, mean_absolute_error: 0.2768, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.84, predictive_accuracy: 0.84, prior_entropy: 0.9864, recall: 0.84, relative_absolute_error: 0.5645, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3773, root_relative_squared_error: 0.7621, scimark_benchmark: 942.3073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7124, build_cpu_time: 0.2563, build_memory: 2303023460, f_measure: 0.7148, kappa: 0.4154, kb_relative_information_score: 40.6624, mean_absolute_error: 0.2898, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7193, predictive_accuracy: 0.72, prior_entropy: 0.9864, recall: 0.72, relative_absolute_error: 0.591, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.5179, root_relative_squared_error: 1.0462, scimark_benchmark: 938.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.838, build_cpu_time: 0.005, build_memory: 318429540, f_measure: 0.8388, kappa: 0.6698, kb_relative_information_score: 48.8933, mean_absolute_error: 0.27, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8404, predictive_accuracy: 0.84, prior_entropy: 0.9864, recall: 0.84, relative_absolute_error: 0.5506, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3704, root_relative_squared_error: 0.7482, scimark_benchmark: 942.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8307, build_cpu_time: 0.0011, build_memory: 346125183.2, f_measure: 0.8388, kappa: 0.6698, kb_relative_information_score: 46.8383, mean_absolute_error: 0.2799, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8404, predictive_accuracy: 0.84, prior_entropy: 0.9864, recall: 0.84, relative_absolute_error: 0.5707, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3763, root_relative_squared_error: 0.76, scimark_benchmark: 813.0234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8062, build_cpu_time: 0.3805, build_memory: 109797056.8, f_measure: 0.7784, kappa: 0.546, kb_relative_information_score: 38.2001, mean_absolute_error: 0.3194, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7793, predictive_accuracy: 0.78, prior_entropy: 0.9864, recall: 0.78, relative_absolute_error: 0.6514, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4105, root_relative_squared_error: 0.8292, scimark_benchmark: 821.7292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8193, build_cpu_time: 0.9216, build_memory: 125967001.6, f_measure: 0.8, kappa: 0.592, kb_relative_information_score: 41.2173, mean_absolute_error: 0.3067, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 0.9864, recall: 0.8, relative_absolute_error: 0.6254, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3971, root_relative_squared_error: 0.8021, scimark_benchmark: 942.6348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8127, build_cpu_time: 1.5891, build_memory: 1248287024, f_measure: 0.8, kappa: 0.592, kb_relative_information_score: 39.5047, mean_absolute_error: 0.3168, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 0.9864, recall: 0.8, relative_absolute_error: 0.646, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3997, root_relative_squared_error: 0.8073, scimark_benchmark: 942.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8091, build_cpu_time: 3.236, build_memory: 2595505193.6, f_measure: 0.7903, kappa: 0.5728, kb_relative_information_score: 39.4126, mean_absolute_error: 0.3172, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7907, predictive_accuracy: 0.79, prior_entropy: 0.9864, recall: 0.79, relative_absolute_error: 0.6469, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4005, root_relative_squared_error: 0.809, scimark_benchmark: 944.2629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8046, build_cpu_time: 6.8333, build_memory: 64163460, f_measure: 0.8103, kappa: 0.6135, kb_relative_information_score: 39.6489, mean_absolute_error: 0.316, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8107, predictive_accuracy: 0.81, prior_entropy: 0.9864, recall: 0.81, relative_absolute_error: 0.6444, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3995, root_relative_squared_error: 0.807, scimark_benchmark: 845.9233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8511, build_cpu_time: 1.2545, build_memory: 1523125824, f_measure: 0.8, kappa: 0.592, kb_relative_information_score: 58.1652, mean_absolute_error: 0.2044, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 0.9864, recall: 0.8, relative_absolute_error: 0.4168, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.416, root_relative_squared_error: 0.8402, scimark_benchmark: 936.9135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8605, build_cpu_time: 0.6676, build_memory: 1137183190.4, f_measure: 0.82, kappa: 0.6328, kb_relative_information_score: 61.5544, mean_absolute_error: 0.1883, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.82, predictive_accuracy: 0.82, prior_entropy: 0.9864, recall: 0.82, relative_absolute_error: 0.384, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3991, root_relative_squared_error: 0.8062, scimark_benchmark: 945.8425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8617, build_cpu_time: 0.2445, build_memory: 1774162448.8, f_measure: 0.82, kappa: 0.6328, kb_relative_information_score: 61.5544, mean_absolute_error: 0.1883, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.82, predictive_accuracy: 0.82, prior_entropy: 0.9864, recall: 0.82, relative_absolute_error: 0.384, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3991, root_relative_squared_error: 0.8062, scimark_benchmark: 909.9339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8564, build_cpu_time: 0.1247, build_memory: 1291469307.2, f_measure: 0.82, kappa: 0.6328, kb_relative_information_score: 61.4308, mean_absolute_error: 0.1891, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.82, predictive_accuracy: 0.82, prior_entropy: 0.9864, recall: 0.82, relative_absolute_error: 0.3857, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3992, root_relative_squared_error: 0.8063, scimark_benchmark: 943.1654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.845, build_cpu_time: 0.0647, build_memory: 432067254.4, f_measure: 0.7993, kappa: 0.5897, kb_relative_information_score: 57.9958, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7993, predictive_accuracy: 0.8, prior_entropy: 0.9864, recall: 0.8, relative_absolute_error: 0.418, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4151, root_relative_squared_error: 0.8384, scimark_benchmark: 941.5665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, build_cpu_time: 0.2747, build_memory: 469556113.6, f_measure: 0.8395, kappa: 0.6717, kb_relative_information_score: 48.2329, mean_absolute_error: 0.272, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8396, predictive_accuracy: 0.84, prior_entropy: 0.9864, recall: 0.84, relative_absolute_error: 0.5546, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.378, root_relative_squared_error: 0.7635, scimark_benchmark: 937.3136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8478, build_cpu_time: 0.6569, build_memory: 37033440, f_measure: 0.8492, kappa: 0.6914, kb_relative_information_score: 48.8323, mean_absolute_error: 0.2689, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.85, predictive_accuracy: 0.85, prior_entropy: 0.9864, recall: 0.85, relative_absolute_error: 0.5483, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3736, root_relative_squared_error: 0.7547, scimark_benchmark: 918.0102,

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