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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
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Function: sql

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Function: query

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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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Backtrace:

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Function: fopen

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

File: /var/www/openml/openml_OS/controllers/Frontend.php
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Function: loadpage

File: /var/www/openml/index.php
Line: 337
Function: require_once

OpenML
Task
Supervised Classification on iris

Supervised Classification on iris

Task 289 Supervised Classification iris 345 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
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345 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.9592, kappa: 0.9388, kb_relative_information_score: 44.5162, mean_absolute_error: 0.0493, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.9637, predictive_accuracy: 0.9592, prior_entropy: 1.585, recall: 0.9592, relative_absolute_error: 0.1108, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1648, root_relative_squared_error: 0.3497, scimark_benchmark: 937.6212, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5735, f_measure: 0.3111, kappa: 0.1445, kb_relative_information_score: 5.9753, mean_absolute_error: 0.4354, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.4309, predictive_accuracy: 0.4082, prior_entropy: 1.585, recall: 0.4082, relative_absolute_error: 0.9796, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5359, root_relative_squared_error: 1.1369, scimark_benchmark: 912.5006, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.9592, kappa: 0.9386, kb_relative_information_score: 29.6537, mean_absolute_error: 0.2313, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.9592, predictive_accuracy: 0.9592, prior_entropy: 1.585, recall: 0.9592, relative_absolute_error: 0.5204, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2883, root_relative_squared_error: 0.6117, scimark_benchmark: 1369.9744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9178, kappa: 0.8778, kb_relative_information_score: 43.6575, mean_absolute_error: 0.0593, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.9347, predictive_accuracy: 0.9184, prior_entropy: 1.585, recall: 0.9184, relative_absolute_error: 0.1334, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1609, root_relative_squared_error: 0.3412, scimark_benchmark: 944.0517, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.9178, kappa: 0.8778, kb_relative_information_score: 43.5237, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.9347, predictive_accuracy: 0.9184, prior_entropy: 1.585, recall: 0.9184, relative_absolute_error: 0.1224, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2333, root_relative_squared_error: 0.4949, scimark_benchmark: 939.449, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8912, f_measure: 0.8584, kappa: 0.7852, kb_relative_information_score: 35.6536, mean_absolute_error: 0.143, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.8626, predictive_accuracy: 0.8571, prior_entropy: 1.585, recall: 0.8571, relative_absolute_error: 0.3218, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3019, root_relative_squared_error: 0.6405, scimark_benchmark: 1066.7184, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9592, kappa: 0.9388, kb_relative_information_score: 44.4368, mean_absolute_error: 0.0503, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.9637, predictive_accuracy: 0.9592, prior_entropy: 1.585, recall: 0.9592, relative_absolute_error: 0.1133, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1637, root_relative_squared_error: 0.3473, scimark_benchmark: 1073.494, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9384, f_measure: 0.9184, kappa: 0.8775, kb_relative_information_score: 43.5237, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.9226, predictive_accuracy: 0.9184, prior_entropy: 1.585, recall: 0.9184, relative_absolute_error: 0.1224, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2333, root_relative_squared_error: 0.4949, scimark_benchmark: 1319.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.9386, kappa: 0.9078, kb_relative_information_score: 43.675, mean_absolute_error: 0.0585, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.9396, predictive_accuracy: 0.9388, prior_entropy: 1.585, recall: 0.9388, relative_absolute_error: 0.1317, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1945, root_relative_squared_error: 0.4126, scimark_benchmark: 1319.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.9386, kappa: 0.9078, kb_relative_information_score: 43.6693, mean_absolute_error: 0.0583, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.9396, predictive_accuracy: 0.9388, prior_entropy: 1.585, recall: 0.9388, relative_absolute_error: 0.1312, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1951, root_relative_squared_error: 0.4138, scimark_benchmark: 1341.5768, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9796, kappa: 0.9693, kb_relative_information_score: 47.6309, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.9808, predictive_accuracy: 0.9796, prior_entropy: 1.585, recall: 0.9796, relative_absolute_error: 0.0306, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1166, root_relative_squared_error: 0.2474, scimark_benchmark: 1442.7264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8065, f_measure: 0.7122, kappa: 0.626, kb_relative_information_score: 32.5712, mean_absolute_error: 0.1633, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.8531, predictive_accuracy: 0.7551, prior_entropy: 1.585, recall: 0.7551, relative_absolute_error: 0.3673, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4041, root_relative_squared_error: 0.8571, scimark_benchmark: 1384.4418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.93, f_measure: 0.8377, kappa: 0.7548, kb_relative_information_score: 39.0949, mean_absolute_error: 0.0952, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.8452, predictive_accuracy: 0.8367, prior_entropy: 1.585, recall: 0.8367, relative_absolute_error: 0.2143, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2916, root_relative_squared_error: 0.6186, scimark_benchmark: 1384.4418, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.9178, kappa: 0.8778, kb_relative_information_score: 43.5237, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.9347, predictive_accuracy: 0.9184, prior_entropy: 1.585, recall: 0.9184, relative_absolute_error: 0.1224, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2333, root_relative_squared_error: 0.4949, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.9386, kappa: 0.9082, kb_relative_information_score: 44.8928, mean_absolute_error: 0.0408, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.9484, predictive_accuracy: 0.9388, prior_entropy: 1.585, recall: 0.9388, relative_absolute_error: 0.0918, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.202, root_relative_squared_error: 0.4286, scimark_benchmark: 1028.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1435, kb_relative_information_score: 0.2655, mean_absolute_error: 0.4451, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.0937, predictive_accuracy: 0.3061, prior_entropy: 1.585, recall: 0.3061, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4722, root_relative_squared_error: 1.0017, scimark_benchmark: 1028.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.93, f_measure: 0.8377, kappa: 0.7548, kb_relative_information_score: 39.0949, mean_absolute_error: 0.0952, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.8452, predictive_accuracy: 0.8367, prior_entropy: 1.585, recall: 0.8367, relative_absolute_error: 0.2143, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2916, root_relative_squared_error: 0.6186, scimark_benchmark: 1054.3694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, build_cpu_time: 0.245, build_memory: 465384856, f_measure: 0.9592, kappa: 0.9388, kb_relative_information_score: 45.8955, mean_absolute_error: 0.0325, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.9637, predictive_accuracy: 0.9592, prior_entropy: 1.585, recall: 0.9592, relative_absolute_error: 0.0731, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1514, root_relative_squared_error: 0.3211, scimark_benchmark: 941.9296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, build_cpu_time: 0.201, build_memory: 599416576, f_measure: 0.9592, kappa: 0.9388, kb_relative_information_score: 45.8955, mean_absolute_error: 0.0325, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.9637, predictive_accuracy: 0.9592, prior_entropy: 1.585, recall: 0.9592, relative_absolute_error: 0.0731, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1514, root_relative_squared_error: 0.3211, scimark_benchmark: 940.9906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, build_cpu_time: 0.26, build_memory: 1716736640, f_measure: 0.9592, kappa: 0.9388, kb_relative_information_score: 45.8955, mean_absolute_error: 0.0325, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.9637, predictive_accuracy: 0.9592, prior_entropy: 1.585, recall: 0.9592, relative_absolute_error: 0.0731, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1514, root_relative_squared_error: 0.3211, scimark_benchmark: 929.9115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, build_cpu_time: 0.194, build_memory: 617068368, f_measure: 0.9592, kappa: 0.9388, kb_relative_information_score: 45.9029, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.9637, predictive_accuracy: 0.9592, prior_entropy: 1.585, recall: 0.9592, relative_absolute_error: 0.0729, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1511, root_relative_squared_error: 0.3206, scimark_benchmark: 874.2668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, build_cpu_time: 0.104, build_memory: 389901952, f_measure: 0.9796, kappa: 0.9693, kb_relative_information_score: 46.5882, mean_absolute_error: 0.0262, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.9808, predictive_accuracy: 0.9796, prior_entropy: 1.585, recall: 0.9796, relative_absolute_error: 0.059, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2742, scimark_benchmark: 925.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9502, build_cpu_time: 0.004, build_memory: 870097056, f_measure: 0.8776, kappa: 0.8163, kb_relative_information_score: 40.8275, mean_absolute_error: 0.081, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.8815, predictive_accuracy: 0.8776, prior_entropy: 1.585, recall: 0.8776, relative_absolute_error: 0.1823, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2836, root_relative_squared_error: 0.6016, scimark_benchmark: 940.5101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9608, build_cpu_time: 0.009, build_memory: 471094840, f_measure: 0.8776, kappa: 0.8163, kb_relative_information_score: 40.9896, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.8815, predictive_accuracy: 0.8776, prior_entropy: 1.585, recall: 0.8776, relative_absolute_error: 0.1775, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2768, root_relative_squared_error: 0.5872, scimark_benchmark: 939.8609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9608, build_cpu_time: 0.007, build_memory: 832718152, f_measure: 0.8776, kappa: 0.8163, kb_relative_information_score: 41.0097, mean_absolute_error: 0.0786, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.8815, predictive_accuracy: 0.8776, prior_entropy: 1.585, recall: 0.8776, relative_absolute_error: 0.1769, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2761, root_relative_squared_error: 0.5858, scimark_benchmark: 938.8409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9608, build_cpu_time: 0.008, build_memory: 249991752, f_measure: 0.8776, kappa: 0.8163, kb_relative_information_score: 41.0097, mean_absolute_error: 0.0786, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.8815, predictive_accuracy: 0.8776, prior_entropy: 1.585, recall: 0.8776, relative_absolute_error: 0.1769, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2761, root_relative_squared_error: 0.5858, scimark_benchmark: 907.1899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9608, build_cpu_time: 0.024, build_memory: 39397904, f_measure: 0.8776, kappa: 0.8163, kb_relative_information_score: 41.0097, mean_absolute_error: 0.0786, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.8815, predictive_accuracy: 0.8776, prior_entropy: 1.585, recall: 0.8776, relative_absolute_error: 0.1769, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2761, root_relative_squared_error: 0.5858, scimark_benchmark: 943.678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9071, build_cpu_time: 0.003, build_memory: 207605632, f_measure: 0.8776, kappa: 0.8163, kb_relative_information_score: 40.7856, mean_absolute_error: 0.0816, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.8815, predictive_accuracy: 0.8776, prior_entropy: 1.585, recall: 0.8776, relative_absolute_error: 0.1837, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2857, root_relative_squared_error: 0.6061, scimark_benchmark: 926.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9071, build_cpu_time: 0.003, build_memory: 1576761448, f_measure: 0.8776, kappa: 0.8163, kb_relative_information_score: 40.7856, mean_absolute_error: 0.0816, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.8815, predictive_accuracy: 0.8776, prior_entropy: 1.585, recall: 0.8776, relative_absolute_error: 0.1837, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2857, root_relative_squared_error: 0.6061, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9071, build_cpu_time: 0.002, build_memory: 2355695336, f_measure: 0.8776, kappa: 0.8163, kb_relative_information_score: 40.7856, mean_absolute_error: 0.0816, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.8815, predictive_accuracy: 0.8776, prior_entropy: 1.585, recall: 0.8776, relative_absolute_error: 0.1837, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2857, root_relative_squared_error: 0.6061, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9071, build_cpu_time: 0.001, build_memory: 1048044848, f_measure: 0.8776, kappa: 0.8163, kb_relative_information_score: 40.7856, mean_absolute_error: 0.0816, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.8815, predictive_accuracy: 0.8776, prior_entropy: 1.585, recall: 0.8776, relative_absolute_error: 0.1837, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2857, root_relative_squared_error: 0.6061, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9071, build_cpu_time: 0.001, build_memory: 862310536, f_measure: 0.8776, kappa: 0.8163, kb_relative_information_score: 40.7856, mean_absolute_error: 0.0816, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.8815, predictive_accuracy: 0.8776, prior_entropy: 1.585, recall: 0.8776, relative_absolute_error: 0.1837, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2857, root_relative_squared_error: 0.6061, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, build_cpu_time: 0.012, build_memory: 2040501328, f_measure: 0.9592, kappa: 0.9388, kb_relative_information_score: 44.451, mean_absolute_error: 0.0494, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.9637, predictive_accuracy: 0.9592, prior_entropy: 1.585, recall: 0.9592, relative_absolute_error: 0.1111, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1649, root_relative_squared_error: 0.3498, scimark_benchmark: 943.8094,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5735, build_cpu_time: 0.017, build_memory: 379165752, f_measure: 0.3111, kappa: 0.1445, kb_relative_information_score: 5.9753, mean_absolute_error: 0.4354, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.4309, predictive_accuracy: 0.4082, prior_entropy: 1.585, recall: 0.4082, relative_absolute_error: 0.9796, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5359, root_relative_squared_error: 1.1369, scimark_benchmark: 941.9254,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, build_memory: 202532344, f_measure: 0.9796, kappa: 0.9693, kb_relative_information_score: 46.2509, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.9808, predictive_accuracy: 0.9796, prior_entropy: 1.585, recall: 0.9796, relative_absolute_error: 0.07, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1295, root_relative_squared_error: 0.2748, scimark_benchmark: 942.9279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, build_memory: 147607288, f_measure: 0.9796, kappa: 0.9693, kb_relative_information_score: 46.2509, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.9808, predictive_accuracy: 0.9796, prior_entropy: 1.585, recall: 0.9796, relative_absolute_error: 0.07, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1295, root_relative_squared_error: 0.2748, scimark_benchmark: 946.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, build_cpu_time: 0.003, build_memory: 303653920, f_measure: 0.9592, kappa: 0.9388, kb_relative_information_score: 43.8535, mean_absolute_error: 0.0605, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.9637, predictive_accuracy: 0.9592, prior_entropy: 1.585, recall: 0.9592, relative_absolute_error: 0.136, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1544, root_relative_squared_error: 0.3276, scimark_benchmark: 945.4151,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.93, build_memory: 330503560, f_measure: 0.8377, kappa: 0.7548, kb_relative_information_score: 39.0949, mean_absolute_error: 0.0952, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.8452, predictive_accuracy: 0.8367, prior_entropy: 1.585, recall: 0.8367, relative_absolute_error: 0.2143, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2916, root_relative_squared_error: 0.6186, scimark_benchmark: 922.2602,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_memory: 1132792960, f_measure: 0.1435, kb_relative_information_score: 0.2655, mean_absolute_error: 0.4451, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.0937, predictive_accuracy: 0.3061, prior_entropy: 1.585, recall: 0.3061, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4722, root_relative_squared_error: 1.0017, scimark_benchmark: 922.5645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, build_memory: 205959712, f_measure: 0.9796, kappa: 0.9693, kb_relative_information_score: 46.2509, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.9808, predictive_accuracy: 0.9796, prior_entropy: 1.585, recall: 0.9796, relative_absolute_error: 0.07, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1295, root_relative_squared_error: 0.2748, scimark_benchmark: 943.2554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, build_memory: 30079040, f_measure: 0.9796, kappa: 0.9693, kb_relative_information_score: 46.2509, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.9808, predictive_accuracy: 0.9796, prior_entropy: 1.585, recall: 0.9796, relative_absolute_error: 0.07, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1295, root_relative_squared_error: 0.2748, scimark_benchmark: 946.9694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7273, build_memory: 132214528, f_measure: 0.5151, kappa: 0.4596, kb_relative_information_score: 24.3567, mean_absolute_error: 0.2449, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.4598, predictive_accuracy: 0.6327, prior_entropy: 1.585, recall: 0.6327, relative_absolute_error: 0.551, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4949, root_relative_squared_error: 1.0498, scimark_benchmark: 943.1371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7273, build_memory: 40491936, f_measure: 0.5151, kappa: 0.4596, kb_relative_information_score: 24.3567, mean_absolute_error: 0.2449, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.4598, predictive_accuracy: 0.6327, prior_entropy: 1.585, recall: 0.6327, relative_absolute_error: 0.551, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4949, root_relative_squared_error: 1.0498, scimark_benchmark: 938.8833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7273, build_memory: 80743976, f_measure: 0.5151, kappa: 0.4596, kb_relative_information_score: 24.3567, mean_absolute_error: 0.2449, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.4598, predictive_accuracy: 0.6327, prior_entropy: 1.585, recall: 0.6327, relative_absolute_error: 0.551, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4949, root_relative_squared_error: 1.0498, scimark_benchmark: 946.5187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7273, build_memory: 152257288, f_measure: 0.5151, kappa: 0.4596, kb_relative_information_score: 24.3567, mean_absolute_error: 0.2449, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.4598, predictive_accuracy: 0.6327, prior_entropy: 1.585, recall: 0.6327, relative_absolute_error: 0.551, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4949, root_relative_squared_error: 1.0498, scimark_benchmark: 944.7664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, build_cpu_time: 0.09, build_memory: 383544296, f_measure: 0.9795, kappa: 0.9693, kb_relative_information_score: 30.0341, mean_absolute_error: 0.2299, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.9807, predictive_accuracy: 0.9796, prior_entropy: 1.585, recall: 0.9796, relative_absolute_error: 0.5173, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2836, root_relative_squared_error: 0.6015, scimark_benchmark: 932.0191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, build_cpu_time: 0.246, build_memory: 92949312, f_measure: 0.9795, kappa: 0.9693, kb_relative_information_score: 29.9315, mean_absolute_error: 0.2308, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.9807, predictive_accuracy: 0.9796, prior_entropy: 1.585, recall: 0.9796, relative_absolute_error: 0.5194, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2848, root_relative_squared_error: 0.6042, scimark_benchmark: 929.1897,

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