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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

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Function: loadpage

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

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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 white-clover

Supervised Classification on white-clover

Task 3501 Supervised Classification white-clover 348 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • study_1 study_41 under100k under1m
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348 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7157, build_cpu_time: 1.0241, build_memory: 311459431.746, f_measure: 0.675, kappa: 0.3709, kb_relative_information_score: 24.2586, mean_absolute_error: 0.1582, mean_prior_absolute_error: 0.2721, number_of_instances: 63, precision: 0.6794, predictive_accuracy: 0.6825, prior_entropy: 1.4097, recall: 0.6825, relative_absolute_error: 0.5815, root_mean_prior_squared_error: 0.3647, root_mean_squared_error: 0.3967, root_relative_squared_error: 1.0878, scimark_benchmark: 902.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7635, build_cpu_time: 0.4483, build_memory: 696676316.9524, f_measure: 0.6538, kappa: 0.3342, kb_relative_information_score: 22.4393, mean_absolute_error: 0.1678, mean_prior_absolute_error: 0.2721, number_of_instances: 63, precision: 0.6711, predictive_accuracy: 0.6667, prior_entropy: 1.4097, recall: 0.6667, relative_absolute_error: 0.6166, root_mean_prior_squared_error: 0.3647, root_mean_squared_error: 0.398, root_relative_squared_error: 1.0915, scimark_benchmark: 930.264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7382, build_cpu_time: 0.2063, build_memory: 805552691.8095, f_measure: 0.6538, kappa: 0.3342, kb_relative_information_score: 21.6715, mean_absolute_error: 0.1716, mean_prior_absolute_error: 0.2721, number_of_instances: 63, precision: 0.6711, predictive_accuracy: 0.6667, prior_entropy: 1.4097, recall: 0.6667, relative_absolute_error: 0.6307, root_mean_prior_squared_error: 0.3647, root_mean_squared_error: 0.3981, root_relative_squared_error: 1.0916, scimark_benchmark: 928.3554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7229, build_cpu_time: 0.2594, build_memory: 911539270.0952, f_measure: 0.6079, kappa: 0.2313, kb_relative_information_score: 19.8097, mean_absolute_error: 0.1823, mean_prior_absolute_error: 0.2721, number_of_instances: 63, precision: 0.6114, predictive_accuracy: 0.619, prior_entropy: 1.4097, recall: 0.619, relative_absolute_error: 0.67, root_mean_prior_squared_error: 0.3647, root_mean_squared_error: 0.3958, root_relative_squared_error: 1.0853, scimark_benchmark: 902.0906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7348, build_cpu_time: 0.0086, build_memory: 880937737.1429, f_measure: 0.6706, kappa: 0.3646, kb_relative_information_score: 20.1037, mean_absolute_error: 0.1917, mean_prior_absolute_error: 0.2721, number_of_instances: 63, precision: 0.6664, predictive_accuracy: 0.6825, prior_entropy: 1.4097, recall: 0.6825, relative_absolute_error: 0.7046, root_mean_prior_squared_error: 0.3647, root_mean_squared_error: 0.3506, root_relative_squared_error: 0.9615, scimark_benchmark: 942.9279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7563, build_cpu_time: 0.0271, build_memory: 892297208.7619, f_measure: 0.6712, kappa: 0.363, kb_relative_information_score: 14.1317, mean_absolute_error: 0.2249, mean_prior_absolute_error: 0.2721, number_of_instances: 63, precision: 0.6903, predictive_accuracy: 0.6984, prior_entropy: 1.4097, recall: 0.6984, relative_absolute_error: 0.8265, root_mean_prior_squared_error: 0.3647, root_mean_squared_error: 0.331, root_relative_squared_error: 0.9077, scimark_benchmark: 943.1817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5757, build_cpu_time: 0.0048, build_memory: 197842465.1429, f_measure: 0.5132, kappa: 0.0963, kb_relative_information_score: 7.6399, mean_absolute_error: 0.248, mean_prior_absolute_error: 0.2721, number_of_instances: 63, precision: 0.5236, predictive_accuracy: 0.5079, prior_entropy: 1.4097, recall: 0.5079, relative_absolute_error: 0.9114, root_mean_prior_squared_error: 0.3647, root_mean_squared_error: 0.4101, root_relative_squared_error: 1.1246, scimark_benchmark: 932.1837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6093, build_cpu_time: 0.0001, build_memory: 1019313630.8571, f_measure: 0.5596, kappa: 0.1658, kb_relative_information_score: 9.701, mean_absolute_error: 0.2249, mean_prior_absolute_error: 0.2721, number_of_instances: 63, precision: 0.5485, predictive_accuracy: 0.5714, prior_entropy: 1.4097, recall: 0.5714, relative_absolute_error: 0.8265, root_mean_prior_squared_error: 0.3647, root_mean_squared_error: 0.4483, root_relative_squared_error: 1.2293, scimark_benchmark: 928.1083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.0252, build_memory: 1182312233.0159, f_measure: 0.4539, kb_relative_information_score: -2.4563, mean_absolute_error: 0.291, mean_prior_absolute_error: 0.2721, number_of_instances: 63, precision: 0.3638, predictive_accuracy: 0.6032, prior_entropy: 1.4097, recall: 0.6032, relative_absolute_error: 1.0695, root_mean_prior_squared_error: 0.3647, root_mean_squared_error: 0.3718, root_relative_squared_error: 1.0196, scimark_benchmark: 941.5807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6892, build_cpu_time: 0.0206, build_memory: 364036460.3175, f_measure: 0.6402, kappa: 0.3087, kb_relative_information_score: 1.2922, mean_absolute_error: 0.2844, mean_prior_absolute_error: 0.2721, number_of_instances: 63, precision: 0.6595, predictive_accuracy: 0.6508, prior_entropy: 1.4097, recall: 0.6508, relative_absolute_error: 1.0452, root_mean_prior_squared_error: 0.3647, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.994, scimark_benchmark: 948.6597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7008, build_cpu_time: 0.026, build_memory: 875993687.746, f_measure: 0.6074, kappa: 0.2889, kb_relative_information_score: 16.3705, mean_absolute_error: 0.1954, mean_prior_absolute_error: 0.2721, number_of_instances: 63, precision: 0.6302, predictive_accuracy: 0.6032, prior_entropy: 1.4097, recall: 0.6032, relative_absolute_error: 0.718, root_mean_prior_squared_error: 0.3647, root_mean_squared_error: 0.4372, root_relative_squared_error: 1.1989, scimark_benchmark: 942.3674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7418, build_cpu_time: 0.0005, build_memory: 1132407248, f_measure: 0.6016, kappa: 0.2609, kb_relative_information_score: 17.0653, mean_absolute_error: 0.1925, mean_prior_absolute_error: 0.2721, number_of_instances: 63, precision: 0.6445, predictive_accuracy: 0.6032, prior_entropy: 1.4097, recall: 0.6032, relative_absolute_error: 0.7076, root_mean_prior_squared_error: 0.3647, root_mean_squared_error: 0.4215, root_relative_squared_error: 1.1558, scimark_benchmark: 942.4411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6406, build_cpu_time: 0.0089, build_memory: 382565000, f_measure: 0.5239, kappa: 0.087, kb_relative_information_score: 7.9253, mean_absolute_error: 0.246, mean_prior_absolute_error: 0.2721, number_of_instances: 63, precision: 0.5115, predictive_accuracy: 0.5397, prior_entropy: 1.4097, recall: 0.5397, relative_absolute_error: 0.9039, root_mean_prior_squared_error: 0.3647, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.9964, scimark_benchmark: 933.4176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6406, build_cpu_time: 0.007, build_memory: 1328788522.6667, f_measure: 0.5239, kappa: 0.087, kb_relative_information_score: 7.9253, mean_absolute_error: 0.246, mean_prior_absolute_error: 0.2721, number_of_instances: 63, precision: 0.5115, predictive_accuracy: 0.5397, prior_entropy: 1.4097, recall: 0.5397, relative_absolute_error: 0.9039, root_mean_prior_squared_error: 0.3647, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.9964, scimark_benchmark: 920.6941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6406, build_cpu_time: 0.0079, build_memory: 234373677.7143, f_measure: 0.5239, kappa: 0.087, kb_relative_information_score: 7.9253, mean_absolute_error: 0.246, mean_prior_absolute_error: 0.2721, number_of_instances: 63, precision: 0.5115, predictive_accuracy: 0.5397, prior_entropy: 1.4097, recall: 0.5397, relative_absolute_error: 0.9039, root_mean_prior_squared_error: 0.3647, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.9964, scimark_benchmark: 945.1122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5054, build_cpu_time: 0.0035, build_memory: 406808289.1429, f_measure: 0.4617, kappa: -0.0328, kb_relative_information_score: -2.9445, mean_absolute_error: 0.3093, mean_prior_absolute_error: 0.2721, number_of_instances: 63, precision: 0.4372, predictive_accuracy: 0.5714, prior_entropy: 1.4097, recall: 0.5714, relative_absolute_error: 1.1367, root_mean_prior_squared_error: 0.3647, root_mean_squared_error: 0.3898, root_relative_squared_error: 1.0689, scimark_benchmark: 945.1122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6019, build_cpu_time: 0.0006, build_memory: 631389649.7778, f_measure: 0.5997, kappa: 0.2261, kb_relative_information_score: 18.2173, mean_absolute_error: 0.1746, mean_prior_absolute_error: 0.2721, number_of_instances: 63, precision: 0.5873, predictive_accuracy: 0.6508, prior_entropy: 1.4097, recall: 0.6508, relative_absolute_error: 0.6417, root_mean_prior_squared_error: 0.3647, root_mean_squared_error: 0.4179, root_relative_squared_error: 1.1459, scimark_benchmark: 946.3269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6705, build_cpu_time: 0.0015, build_memory: 535149258.2857, f_measure: 0.655, kappa: 0.3788, kb_relative_information_score: 19.6318, mean_absolute_error: 0.1953, mean_prior_absolute_error: 0.2721, number_of_instances: 63, precision: 0.6774, predictive_accuracy: 0.6508, prior_entropy: 1.4097, recall: 0.6508, relative_absolute_error: 0.7179, root_mean_prior_squared_error: 0.3647, root_mean_squared_error: 0.4006, root_relative_squared_error: 1.0985, scimark_benchmark: 922.5645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6705, build_cpu_time: 0.0027, build_memory: 711812482.2857, f_measure: 0.655, kappa: 0.3788, kb_relative_information_score: 19.6318, mean_absolute_error: 0.1953, mean_prior_absolute_error: 0.2721, number_of_instances: 63, precision: 0.6774, predictive_accuracy: 0.6508, prior_entropy: 1.4097, recall: 0.6508, relative_absolute_error: 0.7179, root_mean_prior_squared_error: 0.3647, root_mean_squared_error: 0.4006, root_relative_squared_error: 1.0985, scimark_benchmark: 946.5615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4214, build_memory: 525481592, f_measure: 0.4539, kb_relative_information_score: -0.3208, mean_absolute_error: 0.2733, mean_prior_absolute_error: 0.2721, number_of_instances: 63, precision: 0.3638, predictive_accuracy: 0.6032, prior_entropy: 1.4097, recall: 0.6032, relative_absolute_error: 1.0046, root_mean_prior_squared_error: 0.3647, root_mean_squared_error: 0.3656, root_relative_squared_error: 1.0027, scimark_benchmark: 949.9767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4214, build_memory: 878463032, f_measure: 0.4539, kb_relative_information_score: -0.3208, mean_absolute_error: 0.2733, mean_prior_absolute_error: 0.2721, number_of_instances: 63, precision: 0.3638, predictive_accuracy: 0.6032, prior_entropy: 1.4097, recall: 0.6032, relative_absolute_error: 1.0046, root_mean_prior_squared_error: 0.3647, root_mean_squared_error: 0.3656, root_relative_squared_error: 1.0027, scimark_benchmark: 922.2602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7418, build_cpu_time: 0.0004, build_memory: 647513724.9524, f_measure: 0.6016, kappa: 0.2609, kb_relative_information_score: 17.0653, mean_absolute_error: 0.1925, mean_prior_absolute_error: 0.2721, number_of_instances: 63, precision: 0.6445, predictive_accuracy: 0.6032, prior_entropy: 1.4097, recall: 0.6032, relative_absolute_error: 0.7076, root_mean_prior_squared_error: 0.3647, root_mean_squared_error: 0.4215, root_relative_squared_error: 1.1558, scimark_benchmark: 946.9694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7418, build_cpu_time: 0.0004, build_memory: 840500576, f_measure: 0.6016, kappa: 0.2609, kb_relative_information_score: 17.0653, mean_absolute_error: 0.1925, mean_prior_absolute_error: 0.2721, number_of_instances: 63, precision: 0.6445, predictive_accuracy: 0.6032, prior_entropy: 1.4097, recall: 0.6032, relative_absolute_error: 0.7076, root_mean_prior_squared_error: 0.3647, root_mean_squared_error: 0.4215, root_relative_squared_error: 1.1558, scimark_benchmark: 940.3415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7418, build_cpu_time: 0.0005, build_memory: 632296885.3333, f_measure: 0.6016, kappa: 0.2609, kb_relative_information_score: 17.0653, mean_absolute_error: 0.1925, mean_prior_absolute_error: 0.2721, number_of_instances: 63, precision: 0.6445, predictive_accuracy: 0.6032, prior_entropy: 1.4097, recall: 0.6032, relative_absolute_error: 0.7076, root_mean_prior_squared_error: 0.3647, root_mean_squared_error: 0.4215, root_relative_squared_error: 1.1558, scimark_benchmark: 943.2554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7418, build_cpu_time: 0.0004, build_memory: 433264760, f_measure: 0.6016, kappa: 0.2609, kb_relative_information_score: 17.0653, mean_absolute_error: 0.1925, mean_prior_absolute_error: 0.2721, number_of_instances: 63, precision: 0.6445, predictive_accuracy: 0.6032, prior_entropy: 1.4097, recall: 0.6032, relative_absolute_error: 0.7076, root_mean_prior_squared_error: 0.3647, root_mean_squared_error: 0.4215, root_relative_squared_error: 1.1558, scimark_benchmark: 922.2602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6705, build_cpu_time: 0.004, build_memory: 90856988.8254, f_measure: 0.655, kappa: 0.3788, kb_relative_information_score: 19.6318, mean_absolute_error: 0.1953, mean_prior_absolute_error: 0.2721, number_of_instances: 63, precision: 0.6774, predictive_accuracy: 0.6508, prior_entropy: 1.4097, recall: 0.6508, relative_absolute_error: 0.7179, root_mean_prior_squared_error: 0.3647, root_mean_squared_error: 0.4006, root_relative_squared_error: 1.0985, scimark_benchmark: 926.9748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6705, build_cpu_time: 0.0018, build_memory: 1431487704, f_measure: 0.655, kappa: 0.3788, kb_relative_information_score: 19.6318, mean_absolute_error: 0.1953, mean_prior_absolute_error: 0.2721, number_of_instances: 63, precision: 0.6774, predictive_accuracy: 0.6508, prior_entropy: 1.4097, recall: 0.6508, relative_absolute_error: 0.7179, root_mean_prior_squared_error: 0.3647, root_mean_squared_error: 0.4006, root_relative_squared_error: 1.0985, scimark_benchmark: 943.6737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7883, build_cpu_time: 0.2882, build_memory: 507651413.9683, f_measure: 0.5996, kappa: 0.2533, kb_relative_information_score: 0.6417, mean_absolute_error: 0.2864, mean_prior_absolute_error: 0.2721, number_of_instances: 63, precision: 0.5841, predictive_accuracy: 0.619, prior_entropy: 1.4097, recall: 0.619, relative_absolute_error: 1.0526, root_mean_prior_squared_error: 0.3647, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.9877, scimark_benchmark: 934.8065,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7748, build_cpu_time: 0.483, build_memory: 1026338644.3175, f_measure: 0.6131, kappa: 0.278, kb_relative_information_score: 0.2706, mean_absolute_error: 0.288, mean_prior_absolute_error: 0.2721, number_of_instances: 63, precision: 0.594, predictive_accuracy: 0.6349, prior_entropy: 1.4097, recall: 0.6349, relative_absolute_error: 1.0586, root_mean_prior_squared_error: 0.3647, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.9921, scimark_benchmark: 936.5169,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8402, build_cpu_time: 5.4404, build_memory: 377288248.8889, f_measure: 0.661, kappa: 0.3562, kb_relative_information_score: 23.2303, mean_absolute_error: 0.1755, mean_prior_absolute_error: 0.2721, number_of_instances: 63, precision: 0.6571, predictive_accuracy: 0.6667, prior_entropy: 1.4097, recall: 0.6667, relative_absolute_error: 0.6451, root_mean_prior_squared_error: 0.3647, root_mean_squared_error: 0.3075, root_relative_squared_error: 0.8433, scimark_benchmark: 945.0883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8347, build_cpu_time: 10.6398, build_memory: 533558008, f_measure: 0.6435, kappa: 0.3196, kb_relative_information_score: 23.4445, mean_absolute_error: 0.1758, mean_prior_absolute_error: 0.2721, number_of_instances: 63, precision: 0.6384, predictive_accuracy: 0.6508, prior_entropy: 1.4097, recall: 0.6508, relative_absolute_error: 0.646, root_mean_prior_squared_error: 0.3647, root_mean_squared_error: 0.3042, root_relative_squared_error: 0.8342, scimark_benchmark: 943.3898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7157, build_cpu_time: 0.388, build_memory: 1138084470.9841, f_measure: 0.657, kappa: 0.3294, kb_relative_information_score: 12.2074, mean_absolute_error: 0.227, mean_prior_absolute_error: 0.2721, number_of_instances: 63, precision: 0.6775, predictive_accuracy: 0.6825, prior_entropy: 1.4097, recall: 0.6825, relative_absolute_error: 0.8344, root_mean_prior_squared_error: 0.3647, root_mean_squared_error: 0.3421, root_relative_squared_error: 0.9382, scimark_benchmark: 738.1496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7259, build_cpu_time: 0.5965, build_memory: 2680991110.6032, f_measure: 0.657, kappa: 0.3294, kb_relative_information_score: 13.4225, mean_absolute_error: 0.2226, mean_prior_absolute_error: 0.2721, number_of_instances: 63, precision: 0.6775, predictive_accuracy: 0.6825, prior_entropy: 1.4097, recall: 0.6825, relative_absolute_error: 0.818, root_mean_prior_squared_error: 0.3647, root_mean_squared_error: 0.3367, root_relative_squared_error: 0.9232, scimark_benchmark: 910.6904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7385, build_cpu_time: 0.0863, build_memory: 255761429.3333, f_measure: 0.6845, kappa: 0.3964, kb_relative_information_score: 14.8418, mean_absolute_error: 0.2221, mean_prior_absolute_error: 0.2721, number_of_instances: 63, precision: 0.6779, predictive_accuracy: 0.6984, prior_entropy: 1.4097, recall: 0.6984, relative_absolute_error: 0.8162, root_mean_prior_squared_error: 0.3647, root_mean_squared_error: 0.3312, root_relative_squared_error: 0.9081, scimark_benchmark: 933.6664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7385, build_cpu_time: 0.1318, build_memory: 1441172023.6191, f_measure: 0.6845, kappa: 0.3964, kb_relative_information_score: 14.8418, mean_absolute_error: 0.2221, mean_prior_absolute_error: 0.2721, number_of_instances: 63, precision: 0.6779, predictive_accuracy: 0.6984, prior_entropy: 1.4097, recall: 0.6984, relative_absolute_error: 0.8162, root_mean_prior_squared_error: 0.3647, root_mean_squared_error: 0.3312, root_relative_squared_error: 0.9081, scimark_benchmark: 942.6679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7265, build_cpu_time: 0.0542, build_memory: 3951005513.5238, f_measure: 0.6665, kappa: 0.3652, kb_relative_information_score: 14.3012, mean_absolute_error: 0.2246, mean_prior_absolute_error: 0.2721, number_of_instances: 63, precision: 0.6584, predictive_accuracy: 0.6825, prior_entropy: 1.4097, recall: 0.6825, relative_absolute_error: 0.8256, root_mean_prior_squared_error: 0.3647, root_mean_squared_error: 0.3352, root_relative_squared_error: 0.9193, scimark_benchmark: 942.0277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7265, build_cpu_time: 0.0221, build_memory: 2128041592, f_measure: 0.6847, kappa: 0.3858, kb_relative_information_score: 14.9331, mean_absolute_error: 0.2225, mean_prior_absolute_error: 0.2721, number_of_instances: 63, precision: 0.6889, predictive_accuracy: 0.6984, prior_entropy: 1.4097, recall: 0.6984, relative_absolute_error: 0.8177, root_mean_prior_squared_error: 0.3647, root_mean_squared_error: 0.3337, root_relative_squared_error: 0.9152, scimark_benchmark: 924.7895,

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