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Function: fopen

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

Supervised Classification on vehicle

Task 1817 Supervised Classification vehicle 327 runs submitted
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327 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.6865, kappa: 0.5821, kb_relative_information_score: 2580.7407, mean_absolute_error: 0.1757, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.6867, predictive_accuracy: 0.6868, prior_entropy: 1.9991, recall: 0.6868, relative_absolute_error: 0.4688, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3258, root_relative_squared_error: 0.7525, scimark_benchmark: 1333.5799, usercpu_time_millis: 100, usercpu_time_millis_testing: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6958, f_measure: 0.4174, kappa: 0.2648, kb_relative_information_score: 1028.4108, mean_absolute_error: 0.3287, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.4444, predictive_accuracy: 0.447, prior_entropy: 1.9991, recall: 0.447, relative_absolute_error: 0.8768, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4183, root_relative_squared_error: 0.9663, scimark_benchmark: 1372.2145, usercpu_time_millis: 960, usercpu_time_millis_testing: 370, usercpu_time_millis_training: 590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.846, f_measure: 0.6988, kappa: 0.6162, kb_relative_information_score: 1633.8393, mean_absolute_error: 0.2837, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.6952, predictive_accuracy: 0.7121, prior_entropy: 1.9991, recall: 0.7121, relative_absolute_error: 0.757, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.8345, scimark_benchmark: 939.449, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9283, f_measure: 0.7527, kappa: 0.6768, kb_relative_information_score: 2722.3945, mean_absolute_error: 0.1681, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.7492, predictive_accuracy: 0.7577, prior_entropy: 1.9991, recall: 0.7577, relative_absolute_error: 0.4484, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2805, root_relative_squared_error: 0.6479, scimark_benchmark: 1280.6952, usercpu_time_millis: 600, usercpu_time_millis_training: 600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7973, f_measure: 0.6842, kappa: 0.5959, kb_relative_information_score: 2687.6657, mean_absolute_error: 0.1514, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.684, predictive_accuracy: 0.6972, prior_entropy: 1.9991, recall: 0.6972, relative_absolute_error: 0.404, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3891, root_relative_squared_error: 0.8988, scimark_benchmark: 938.9967, usercpu_time_millis: 460, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8563, f_measure: 0.6752, kappa: 0.5671, kb_relative_information_score: 2443.2918, mean_absolute_error: 0.1855, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.6757, predictive_accuracy: 0.6754, prior_entropy: 1.9991, recall: 0.6754, relative_absolute_error: 0.4948, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3435, root_relative_squared_error: 0.7934, scimark_benchmark: 1315.3881, usercpu_time_millis: 2780, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 2750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9252, f_measure: 0.7367, kappa: 0.6612, kb_relative_information_score: 2678.1363, mean_absolute_error: 0.1726, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.7314, predictive_accuracy: 0.7459, prior_entropy: 1.9991, recall: 0.7459, relative_absolute_error: 0.4604, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2809, root_relative_squared_error: 0.6487, scimark_benchmark: 1073.494, usercpu_time_millis: 500, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7869, f_measure: 0.6803, kappa: 0.5746, kb_relative_information_score: 2604.0258, mean_absolute_error: 0.1595, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.6798, predictive_accuracy: 0.6811, prior_entropy: 1.9991, recall: 0.6811, relative_absolute_error: 0.4254, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3993, root_relative_squared_error: 0.9224, scimark_benchmark: 1315.0767, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8647, f_measure: 0.6782, kappa: 0.582, kb_relative_information_score: 2491.0998, mean_absolute_error: 0.1877, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.6739, predictive_accuracy: 0.6865, prior_entropy: 1.9991, recall: 0.6865, relative_absolute_error: 0.5008, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3326, root_relative_squared_error: 0.7682, scimark_benchmark: 1325.942, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8518, f_measure: 0.6837, kappa: 0.5863, kb_relative_information_score: 2549.042, mean_absolute_error: 0.1745, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.6803, predictive_accuracy: 0.6896, prior_entropy: 1.9991, recall: 0.6896, relative_absolute_error: 0.4655, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3439, root_relative_squared_error: 0.7943, scimark_benchmark: 1376.7478, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7289, f_measure: 0.5861, kappa: 0.4588, kb_relative_information_score: 2159.9623, mean_absolute_error: 0.2026, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.588, predictive_accuracy: 0.5948, prior_entropy: 1.9991, recall: 0.5948, relative_absolute_error: 0.5405, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4501, root_relative_squared_error: 1.0397, scimark_benchmark: 1372.2145, usercpu_time_millis: 130, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5027, f_measure: 0.1091, kappa: 0.0053, kb_relative_information_score: 420.0915, mean_absolute_error: 0.3727, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.5302, predictive_accuracy: 0.2546, prior_entropy: 1.9991, recall: 0.2546, relative_absolute_error: 0.9943, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.6105, root_relative_squared_error: 1.4102, scimark_benchmark: 1384.4418, usercpu_time_millis: 170, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8507, f_measure: 0.6911, kappa: 0.596, kb_relative_information_score: 2736.0402, mean_absolute_error: 0.1567, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.6932, predictive_accuracy: 0.6972, prior_entropy: 1.9991, recall: 0.6972, relative_absolute_error: 0.4179, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3397, root_relative_squared_error: 0.7847, scimark_benchmark: 1384.4418, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6732, f_measure: 0.4987, kappa: 0.3469, kb_relative_information_score: 1731.2798, mean_absolute_error: 0.2452, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.4971, predictive_accuracy: 0.5097, prior_entropy: 1.9991, recall: 0.5097, relative_absolute_error: 0.654, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4951, root_relative_squared_error: 1.1437, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7853, f_measure: 0.6708, kappa: 0.5715, kb_relative_information_score: 2592.4951, mean_absolute_error: 0.1606, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.6674, predictive_accuracy: 0.6787, prior_entropy: 1.9991, recall: 0.6787, relative_absolute_error: 0.4286, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4008, root_relative_squared_error: 0.9258, scimark_benchmark: 1028.5889, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.1742, kappa: -0.0008, kb_relative_information_score: 2.4102, mean_absolute_error: 0.3748, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.1319, predictive_accuracy: 0.2565, prior_entropy: 1.9991, recall: 0.2565, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4329, root_relative_squared_error: 1, scimark_benchmark: 1054.3694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8461, f_measure: 0.7114, kappa: 0.6181, kb_relative_information_score: 2774.547, mean_absolute_error: 0.1501, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.7096, predictive_accuracy: 0.7137, prior_entropy: 1.9991, recall: 0.7137, relative_absolute_error: 0.4005, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3422, root_relative_squared_error: 0.7905, scimark_benchmark: 977.6382, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8877, build_cpu_time: 0.2296, build_memory: 685845896, f_measure: 0.6988, kappa: 0.6162, kb_relative_information_score: 1883.8861, mean_absolute_error: 0.2533, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.6952, predictive_accuracy: 0.7121, prior_entropy: 1.9991, recall: 0.7121, relative_absolute_error: 0.6759, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3291, root_relative_squared_error: 0.7603, scimark_benchmark: 924.2934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8877, build_cpu_time: 0.215, build_memory: 882935570.4, f_measure: 0.6988, kappa: 0.6162, kb_relative_information_score: 1883.8861, mean_absolute_error: 0.2533, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.6952, predictive_accuracy: 0.7121, prior_entropy: 1.9991, recall: 0.7121, relative_absolute_error: 0.6759, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3291, root_relative_squared_error: 0.7603, scimark_benchmark: 895.3841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8877, build_cpu_time: 0.2222, build_memory: 832986724.8, f_measure: 0.6988, kappa: 0.6162, kb_relative_information_score: 1883.8861, mean_absolute_error: 0.2533, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.6952, predictive_accuracy: 0.7121, prior_entropy: 1.9991, recall: 0.7121, relative_absolute_error: 0.6759, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3291, root_relative_squared_error: 0.7603, scimark_benchmark: 874.2668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8877, build_cpu_time: 0.306, build_memory: 507480106.4, f_measure: 0.6988, kappa: 0.6162, kb_relative_information_score: 1883.8861, mean_absolute_error: 0.2533, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.6952, predictive_accuracy: 0.7121, prior_entropy: 1.9991, recall: 0.7121, relative_absolute_error: 0.6759, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3291, root_relative_squared_error: 0.7603, scimark_benchmark: 937.3768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8877, build_cpu_time: 0.2358, build_memory: 437775344, f_measure: 0.6988, kappa: 0.6162, kb_relative_information_score: 1883.8861, mean_absolute_error: 0.2533, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.6952, predictive_accuracy: 0.7121, prior_entropy: 1.9991, recall: 0.7121, relative_absolute_error: 0.6759, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3291, root_relative_squared_error: 0.7603, scimark_benchmark: 940.159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9081, build_cpu_time: 0.0712, build_memory: 597295858.4, f_measure: 0.7272, kappa: 0.6419, kb_relative_information_score: 2756.2365, mean_absolute_error: 0.1539, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.7238, predictive_accuracy: 0.7314, prior_entropy: 1.9991, recall: 0.7314, relative_absolute_error: 0.4105, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3095, root_relative_squared_error: 0.715, scimark_benchmark: 939.1359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, build_cpu_time: 0.1141, build_memory: 195850741.6, f_measure: 0.7369, kappa: 0.6551, kb_relative_information_score: 2864.1082, mean_absolute_error: 0.141, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.7333, predictive_accuracy: 0.7414, prior_entropy: 1.9991, recall: 0.7414, relative_absolute_error: 0.3762, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3103, root_relative_squared_error: 0.7168, scimark_benchmark: 941.7846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9113, build_cpu_time: 0.1417, build_memory: 1007495038.4, f_measure: 0.7359, kappa: 0.6539, kb_relative_information_score: 2872.0133, mean_absolute_error: 0.1403, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.7323, predictive_accuracy: 0.7404, prior_entropy: 1.9991, recall: 0.7404, relative_absolute_error: 0.3742, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3098, root_relative_squared_error: 0.7155, scimark_benchmark: 941.7891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9113, build_cpu_time: 0.1133, build_memory: 514422653.6, f_measure: 0.7359, kappa: 0.6539, kb_relative_information_score: 2872.0133, mean_absolute_error: 0.1403, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.7323, predictive_accuracy: 0.7404, prior_entropy: 1.9991, recall: 0.7404, relative_absolute_error: 0.3742, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3098, root_relative_squared_error: 0.7155, scimark_benchmark: 920.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9113, build_cpu_time: 0.136, build_memory: 292899883.2, f_measure: 0.7359, kappa: 0.6539, kb_relative_information_score: 2872.0133, mean_absolute_error: 0.1403, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.7323, predictive_accuracy: 0.7404, prior_entropy: 1.9991, recall: 0.7404, relative_absolute_error: 0.3742, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3098, root_relative_squared_error: 0.7155, scimark_benchmark: 895.3841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7767, build_cpu_time: 0.0065, build_memory: 891546331.2, f_measure: 0.6653, kappa: 0.5544, kb_relative_information_score: 2527.4819, mean_absolute_error: 0.167, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.6648, predictive_accuracy: 0.666, prior_entropy: 1.9991, recall: 0.666, relative_absolute_error: 0.4456, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4087, root_relative_squared_error: 0.944, scimark_benchmark: 874.2668,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9104, build_cpu_time: 1.1071, build_memory: 1356433302.4, f_measure: 0.7417, kappa: 0.6595, kb_relative_information_score: 2940.6277, mean_absolute_error: 0.1284, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.7396, predictive_accuracy: 0.7447, prior_entropy: 1.9991, recall: 0.7447, relative_absolute_error: 0.3425, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.34, root_relative_squared_error: 0.7854, scimark_benchmark: 930.264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9063, build_cpu_time: 0.598, build_memory: 877563476.8, f_measure: 0.7301, kappa: 0.6447, kb_relative_information_score: 2875.8041, mean_absolute_error: 0.1368, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.7277, predictive_accuracy: 0.7336, prior_entropy: 1.9991, recall: 0.7336, relative_absolute_error: 0.3649, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3362, root_relative_squared_error: 0.7766, scimark_benchmark: 943.521,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6982, build_cpu_time: 0.1396, build_memory: 852049241.6, f_measure: 0.4279, kappa: 0.2731, kb_relative_information_score: 1038.7101, mean_absolute_error: 0.3279, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.4556, predictive_accuracy: 0.4537, prior_entropy: 1.9991, recall: 0.4537, relative_absolute_error: 0.8749, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4174, root_relative_squared_error: 0.9641, scimark_benchmark: 945.4085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.846, build_cpu_time: 0.0421, build_memory: 556571695.2, f_measure: 0.6988, kappa: 0.6162, kb_relative_information_score: 1633.8393, mean_absolute_error: 0.2837, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.6952, predictive_accuracy: 0.7121, prior_entropy: 1.9991, recall: 0.7121, relative_absolute_error: 0.757, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.8345, scimark_benchmark: 931.9838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9217, build_cpu_time: 0.2743, build_memory: 40732573.6, f_measure: 0.7778, kappa: 0.7045, kb_relative_information_score: 3072.7229, mean_absolute_error: 0.124, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.7772, predictive_accuracy: 0.7785, prior_entropy: 1.9991, recall: 0.7785, relative_absolute_error: 0.3308, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2808, root_relative_squared_error: 0.6486, scimark_benchmark: 942.3674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7628, build_cpu_time: 0.0024, build_memory: 182883381.6, f_measure: 0.4033, kappa: 0.2543, kb_relative_information_score: 1435.0979, mean_absolute_error: 0.282, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.4847, predictive_accuracy: 0.4366, prior_entropy: 1.9991, recall: 0.4366, relative_absolute_error: 0.7522, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4657, root_relative_squared_error: 1.0756, scimark_benchmark: 946.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7628, build_cpu_time: 0.0023, build_memory: 30699187.2, f_measure: 0.4033, kappa: 0.2543, kb_relative_information_score: 1435.0979, mean_absolute_error: 0.282, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.4847, predictive_accuracy: 0.4366, prior_entropy: 1.9991, recall: 0.4366, relative_absolute_error: 0.7522, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4657, root_relative_squared_error: 1.0756, scimark_benchmark: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9095, build_cpu_time: 0.0559, build_memory: 152167272.8, f_measure: 0.7056, kappa: 0.6224, kb_relative_information_score: 2536.3905, mean_absolute_error: 0.1857, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.7005, predictive_accuracy: 0.7168, prior_entropy: 1.9991, recall: 0.7168, relative_absolute_error: 0.4955, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2993, root_relative_squared_error: 0.6913, scimark_benchmark: 934.4754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6514, build_cpu_time: 0.0031, build_memory: 127964226.4, f_measure: 0.3174, kappa: 0.2099, kb_relative_information_score: 838.6584, mean_absolute_error: 0.3378, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.2899, predictive_accuracy: 0.4021, prior_entropy: 1.9991, recall: 0.4021, relative_absolute_error: 0.9013, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4119, root_relative_squared_error: 0.9515, scimark_benchmark: 930.1524,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6732, build_cpu_time: 0.0024, build_memory: 621075165.6, f_measure: 0.4987, kappa: 0.3469, kb_relative_information_score: 1731.2798, mean_absolute_error: 0.2452, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.4971, predictive_accuracy: 0.5097, prior_entropy: 1.9991, recall: 0.5097, relative_absolute_error: 0.654, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4951, root_relative_squared_error: 1.1437, scimark_benchmark: 947.5974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8461, build_cpu_time: 0.0168, build_memory: 568390435.2, f_measure: 0.7114, kappa: 0.6181, kb_relative_information_score: 2774.547, mean_absolute_error: 0.1501, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.7096, predictive_accuracy: 0.7137, prior_entropy: 1.9991, recall: 0.7137, relative_absolute_error: 0.4005, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3422, root_relative_squared_error: 0.7905, scimark_benchmark: 946.9694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8461, build_cpu_time: 0.0156, build_memory: 307514291.2, f_measure: 0.7114, kappa: 0.6181, kb_relative_information_score: 2774.547, mean_absolute_error: 0.1501, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.7096, predictive_accuracy: 0.7137, prior_entropy: 1.9991, recall: 0.7137, relative_absolute_error: 0.4005, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3422, root_relative_squared_error: 0.7905, scimark_benchmark: 947.7747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, build_cpu_time: 0.0002, build_memory: 435806452, f_measure: 0.1742, kappa: -0.0008, kb_relative_information_score: 2.4102, mean_absolute_error: 0.3748, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.1319, predictive_accuracy: 0.2565, prior_entropy: 1.9991, recall: 0.2565, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4329, root_relative_squared_error: 1, scimark_benchmark: 922.2602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, build_cpu_time: 0.0001, build_memory: 222633016, f_measure: 0.1742, kappa: -0.0008, kb_relative_information_score: 2.4102, mean_absolute_error: 0.3748, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.1319, predictive_accuracy: 0.2565, prior_entropy: 1.9991, recall: 0.2565, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4329, root_relative_squared_error: 1, scimark_benchmark: 940.3415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5955, build_cpu_time: 0.0003, build_memory: 93904733.6, f_measure: 0.3019, kappa: 0.1911, kb_relative_information_score: 1123.0254, mean_absolute_error: 0.3066, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.4039, predictive_accuracy: 0.3868, prior_entropy: 1.9991, recall: 0.3868, relative_absolute_error: 0.818, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.5537, root_relative_squared_error: 1.2791, scimark_benchmark: 944.7664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8772, build_cpu_time: 0.3786, build_memory: 665441668, f_measure: 0.706, kappa: 0.6254, kb_relative_information_score: 1611.5176, mean_absolute_error: 0.2851, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.7023, predictive_accuracy: 0.7189, prior_entropy: 1.9991, recall: 0.7189, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3566, root_relative_squared_error: 0.8236, scimark_benchmark: 943.6737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8791, build_cpu_time: 0.6835, build_memory: 909351892, f_measure: 0.7043, kappa: 0.6241, kb_relative_information_score: 1609.4873, mean_absolute_error: 0.2853, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.7009, predictive_accuracy: 0.718, prior_entropy: 1.9991, recall: 0.718, relative_absolute_error: 0.761, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3564, root_relative_squared_error: 0.8232, scimark_benchmark: 927.8402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8804, build_cpu_time: 1.5182, build_memory: 699578615.2, f_measure: 0.707, kappa: 0.6276, kb_relative_information_score: 1607.7389, mean_absolute_error: 0.2854, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.7041, predictive_accuracy: 0.7206, prior_entropy: 1.9991, recall: 0.7206, relative_absolute_error: 0.7614, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3564, root_relative_squared_error: 0.8233, scimark_benchmark: 929.8923,

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