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A PHP Error was encountered

Severity: Warning

Message: fopen(/data/log/sql.log): failed to open stream: Permission denied

Filename: models/Log.php

Line Number: 37

Backtrace:

File: /var/www/openml/openml_OS/models/Log.php
Line: 37
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: loadpage

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

A PHP Error was encountered

Severity: Warning

Message: fopen(/data/log/sql.log): failed to open stream: Permission denied

Filename: models/Log.php

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Backtrace:

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Line: 37
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
Line: 85
Function: loadpage

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

OpenML
Task
Supervised Classification on fri_c2_500_50

Supervised Classification on fri_c2_500_50

Task 3783 Supervised Classification fri_c2_500_50 552 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: 0.9333, build_cpu_time: 2.5857, build_memory: 68475603.2, f_measure: 0.8976, kappa: 0.7877, kb_relative_information_score: 388.3202, mean_absolute_error: 0.1074, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8978, predictive_accuracy: 0.898, prior_entropy: 0.9767, recall: 0.898, relative_absolute_error: 0.2219, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3049, root_relative_squared_error: 0.6199, scimark_benchmark: 919.5971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9278, build_cpu_time: 1.4427, build_memory: 503588470.4, f_measure: 0.8935, kappa: 0.7791, kb_relative_information_score: 380.7965, mean_absolute_error: 0.1153, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8939, predictive_accuracy: 0.894, prior_entropy: 0.9767, recall: 0.894, relative_absolute_error: 0.2382, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.315, root_relative_squared_error: 0.6404, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9208, build_cpu_time: 0.9321, build_memory: 968145546.4, f_measure: 0.8778, kappa: 0.7469, kb_relative_information_score: 366.3717, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8777, predictive_accuracy: 0.878, prior_entropy: 0.9767, recall: 0.878, relative_absolute_error: 0.2671, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3286, root_relative_squared_error: 0.668, scimark_benchmark: 923.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9289, build_cpu_time: 0.5103, build_memory: 443458409.6, f_measure: 0.87, kappa: 0.7311, kb_relative_information_score: 366.7927, mean_absolute_error: 0.1267, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8699, predictive_accuracy: 0.87, prior_entropy: 0.9767, recall: 0.87, relative_absolute_error: 0.2617, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3351, root_relative_squared_error: 0.6813, scimark_benchmark: 902.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9298, build_cpu_time: 1.0116, build_memory: 556774994.4, f_measure: 0.8998, kappa: 0.7924, kb_relative_information_score: 394.547, mean_absolute_error: 0.1006, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8998, predictive_accuracy: 0.9, prior_entropy: 0.9767, recall: 0.9, relative_absolute_error: 0.208, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3127, root_relative_squared_error: 0.6359, scimark_benchmark: 893.4088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9149, build_cpu_time: 2.2426, build_memory: 1898947172, f_measure: 0.9116, kappa: 0.8167, kb_relative_information_score: 407.1905, mean_absolute_error: 0.0887, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.912, predictive_accuracy: 0.912, prior_entropy: 0.9767, recall: 0.912, relative_absolute_error: 0.1832, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.2943, root_relative_squared_error: 0.5984, scimark_benchmark: 934.2858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9102, build_cpu_time: 4.3529, build_memory: 633067879.2, f_measure: 0.9033, kappa: 0.7992, kb_relative_information_score: 398.9192, mean_absolute_error: 0.0965, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.9046, predictive_accuracy: 0.904, prior_entropy: 0.9767, recall: 0.904, relative_absolute_error: 0.1994, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3084, root_relative_squared_error: 0.627, scimark_benchmark: 873.8637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9065, build_cpu_time: 8.8886, build_memory: 756996612, f_measure: 0.9035, kappa: 0.7998, kb_relative_information_score: 399.3085, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.9041, predictive_accuracy: 0.904, prior_entropy: 0.9767, recall: 0.904, relative_absolute_error: 0.1984, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3098, root_relative_squared_error: 0.6299, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5626, build_cpu_time: 0.1349, build_memory: 358209008.8, f_measure: 0.5802, kappa: 0.1272, kb_relative_information_score: 63.6624, mean_absolute_error: 0.4164, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.5782, predictive_accuracy: 0.584, prior_entropy: 0.9767, recall: 0.584, relative_absolute_error: 0.8605, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.6436, root_relative_squared_error: 1.3085, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5626, build_cpu_time: 0.0931, build_memory: 1211480745.6, f_measure: 0.5802, kappa: 0.1272, kb_relative_information_score: 63.6624, mean_absolute_error: 0.4164, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.5782, predictive_accuracy: 0.584, prior_entropy: 0.9767, recall: 0.584, relative_absolute_error: 0.8605, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.6436, root_relative_squared_error: 1.3085, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5626, build_cpu_time: 0.1866, build_memory: 228167884.8, f_measure: 0.5802, kappa: 0.1272, kb_relative_information_score: 63.6624, mean_absolute_error: 0.4164, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.5782, predictive_accuracy: 0.584, prior_entropy: 0.9767, recall: 0.584, relative_absolute_error: 0.8605, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.6436, root_relative_squared_error: 1.3085, scimark_benchmark: 945.0554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9572, build_cpu_time: 1.4263, build_memory: 732242404, f_measure: 0.8813, kappa: 0.7537, kb_relative_information_score: 368.3232, mean_absolute_error: 0.1289, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8819, predictive_accuracy: 0.882, prior_entropy: 0.9767, recall: 0.882, relative_absolute_error: 0.2664, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.2912, root_relative_squared_error: 0.592, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.936, build_cpu_time: 9.1932, build_memory: 1187603698.4, f_measure: 0.9158, kappa: 0.8256, kb_relative_information_score: 411.8304, mean_absolute_error: 0.084, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.9159, predictive_accuracy: 0.916, prior_entropy: 0.9767, recall: 0.916, relative_absolute_error: 0.1736, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.2854, root_relative_squared_error: 0.5803, scimark_benchmark: 913.1342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9447, build_cpu_time: 4.474, build_memory: 1329260830.4, f_measure: 0.8977, kappa: 0.7881, kb_relative_information_score: 398.6655, mean_absolute_error: 0.0959, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8978, predictive_accuracy: 0.898, prior_entropy: 0.9767, recall: 0.898, relative_absolute_error: 0.1982, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3005, root_relative_squared_error: 0.6109, scimark_benchmark: 939.6177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9379, build_cpu_time: 2.444, build_memory: 912562152.8, f_measure: 0.8896, kappa: 0.7711, kb_relative_information_score: 388.136, mean_absolute_error: 0.1066, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8898, predictive_accuracy: 0.89, prior_entropy: 0.9767, recall: 0.89, relative_absolute_error: 0.2204, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3123, root_relative_squared_error: 0.635, scimark_benchmark: 916.0736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9349, build_cpu_time: 1.264, build_memory: 268574561.6, f_measure: 0.8798, kappa: 0.7512, kb_relative_information_score: 370.5427, mean_absolute_error: 0.1245, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8797, predictive_accuracy: 0.88, prior_entropy: 0.9767, recall: 0.88, relative_absolute_error: 0.2573, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3261, root_relative_squared_error: 0.6631, scimark_benchmark: 932.5237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7272, build_cpu_time: 1.0301, build_memory: 543188708, f_measure: 0.6603, kappa: 0.306, kb_relative_information_score: 122.7098, mean_absolute_error: 0.3669, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.6658, predictive_accuracy: 0.658, prior_entropy: 0.9767, recall: 0.658, relative_absolute_error: 0.7582, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.4833, root_relative_squared_error: 0.9826, scimark_benchmark: 943.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9575, build_cpu_time: 1.3768, build_memory: 28228932, f_measure: 0.9018, kappa: 0.7967, kb_relative_information_score: 393.9159, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.9018, predictive_accuracy: 0.902, prior_entropy: 0.9767, recall: 0.902, relative_absolute_error: 0.2109, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.2919, root_relative_squared_error: 0.5935, scimark_benchmark: 931.8628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, build_cpu_time: 0.1609, build_memory: 1180110640, f_measure: 0.8793, kappa: 0.7494, kb_relative_information_score: 333.0819, mean_absolute_error: 0.1685, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.88, predictive_accuracy: 0.88, prior_entropy: 0.9767, recall: 0.88, relative_absolute_error: 0.3481, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.325, root_relative_squared_error: 0.6609, scimark_benchmark: 933.9469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, build_cpu_time: 0.2364, build_memory: 167480271.2, f_measure: 0.8678, kappa: 0.7263, kb_relative_information_score: 210.2995, mean_absolute_error: 0.3054, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8677, predictive_accuracy: 0.868, prior_entropy: 0.9767, recall: 0.868, relative_absolute_error: 0.6313, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.348, root_relative_squared_error: 0.7076, scimark_benchmark: 946.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8704, build_cpu_time: 0.1061, build_memory: 187916332.8, f_measure: 0.8719, kappa: 0.735, kb_relative_information_score: 333.4719, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8718, predictive_accuracy: 0.872, prior_entropy: 0.9767, recall: 0.872, relative_absolute_error: 0.3513, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3394, root_relative_squared_error: 0.6901, scimark_benchmark: 943.7068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.1441, build_memory: 523129218.4, f_measure: 0.4379, kb_relative_information_score: 70.2252, mean_absolute_error: 0.41, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.3481, predictive_accuracy: 0.59, prior_entropy: 0.9767, recall: 0.59, relative_absolute_error: 0.8473, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.6403, root_relative_squared_error: 1.3019, scimark_benchmark: 942.9279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6886, build_cpu_time: 0.0786, build_memory: 993211743.2, f_measure: 0.6953, kappa: 0.3736, kb_relative_information_score: 179.2169, mean_absolute_error: 0.306, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.6974, predictive_accuracy: 0.694, prior_entropy: 0.9767, recall: 0.694, relative_absolute_error: 0.6324, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.5532, root_relative_squared_error: 1.1247, scimark_benchmark: 943.1817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.694, build_cpu_time: 0.1159, build_memory: 767210328, f_measure: 0.6843, kappa: 0.3712, kb_relative_information_score: 166.6409, mean_absolute_error: 0.318, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.7069, predictive_accuracy: 0.682, prior_entropy: 0.9767, recall: 0.682, relative_absolute_error: 0.6572, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.5639, root_relative_squared_error: 1.1466, scimark_benchmark: 945.4085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7472, build_cpu_time: 0.0298, build_memory: 94325639.2, f_measure: 0.6859, kappa: 0.3505, kb_relative_information_score: 129.2583, mean_absolute_error: 0.3618, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.6858, predictive_accuracy: 0.686, prior_entropy: 0.9767, recall: 0.686, relative_absolute_error: 0.7477, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.4606, root_relative_squared_error: 0.9366, scimark_benchmark: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9485, build_cpu_time: 0.1239, build_memory: 684372478.4, f_measure: 0.8849, kappa: 0.7606, kb_relative_information_score: 325.4222, mean_absolute_error: 0.1821, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8871, predictive_accuracy: 0.886, prior_entropy: 0.9767, recall: 0.886, relative_absolute_error: 0.3763, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.2919, root_relative_squared_error: 0.5936, scimark_benchmark: 930.1524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9223, build_cpu_time: 0.1159, build_memory: 206831787.2, f_measure: 0.8458, kappa: 0.681, kb_relative_information_score: 282.6027, mean_absolute_error: 0.222, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8457, predictive_accuracy: 0.846, prior_entropy: 0.9767, recall: 0.846, relative_absolute_error: 0.4588, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3292, root_relative_squared_error: 0.6694, scimark_benchmark: 920.6941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7789, build_cpu_time: 0.0111, build_memory: 540764055.2, f_measure: 0.789, kappa: 0.5624, kb_relative_information_score: 279.8246, mean_absolute_error: 0.21, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.7888, predictive_accuracy: 0.79, prior_entropy: 0.9767, recall: 0.79, relative_absolute_error: 0.434, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.4583, root_relative_squared_error: 0.9317, scimark_benchmark: 946.8522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4897, build_cpu_time: 0.0001, build_memory: 632804211.2, f_measure: 0.4379, kb_relative_information_score: -0.0991, mean_absolute_error: 0.4839, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.3481, predictive_accuracy: 0.59, prior_entropy: 0.9767, recall: 0.59, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.4919, root_relative_squared_error: 1, scimark_benchmark: 922.5645,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7738, build_cpu_time: 0.0064, build_memory: 822949749.6, f_measure: 0.7928, kappa: 0.5739, kb_relative_information_score: 196.3948, mean_absolute_error: 0.3074, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.7945, predictive_accuracy: 0.792, prior_entropy: 0.9767, recall: 0.792, relative_absolute_error: 0.6352, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.4295, root_relative_squared_error: 0.8733, scimark_benchmark: 943.2554,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9235, build_cpu_time: 23.8044, build_memory: 1746376570.4, f_measure: 0.9077, kappa: 0.8087, kb_relative_information_score: 402.9154, mean_absolute_error: 0.0925, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.9079, predictive_accuracy: 0.908, prior_entropy: 0.9767, recall: 0.908, relative_absolute_error: 0.1912, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3013, root_relative_squared_error: 0.6127, scimark_benchmark: 945.8425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9305, build_cpu_time: 9.3875, build_memory: 814361381.6, f_measure: 0.9078, kappa: 0.809, kb_relative_information_score: 404.4935, mean_absolute_error: 0.0908, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.9078, predictive_accuracy: 0.908, prior_entropy: 0.9767, recall: 0.908, relative_absolute_error: 0.1877, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.2966, root_relative_squared_error: 0.603, scimark_benchmark: 934.1739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9426, build_cpu_time: 5.5637, build_memory: 1769229870.4, f_measure: 0.9118, kappa: 0.8173, kb_relative_information_score: 409.6614, mean_absolute_error: 0.0858, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.9119, predictive_accuracy: 0.912, prior_entropy: 0.9767, recall: 0.912, relative_absolute_error: 0.1774, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.287, root_relative_squared_error: 0.5836, scimark_benchmark: 941.4198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9479, build_cpu_time: 2.3915, build_memory: 673982944, f_measure: 0.9097, kappa: 0.813, kb_relative_information_score: 402.9776, mean_absolute_error: 0.0929, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.9099, predictive_accuracy: 0.91, prior_entropy: 0.9767, recall: 0.91, relative_absolute_error: 0.192, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.2938, root_relative_squared_error: 0.5973, scimark_benchmark: 938.0657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9443, build_cpu_time: 1.223, build_memory: 2189049359.2, f_measure: 0.8976, kappa: 0.7877, kb_relative_information_score: 391.849, mean_absolute_error: 0.1034, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8978, predictive_accuracy: 0.898, prior_entropy: 0.9767, recall: 0.898, relative_absolute_error: 0.2136, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3087, root_relative_squared_error: 0.6276, scimark_benchmark: 944.2629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9604, build_cpu_time: 12.3016, build_memory: 559909498.4, f_measure: 0.9031, kappa: 0.7986, kb_relative_information_score: 329.2029, mean_absolute_error: 0.1813, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.9053, predictive_accuracy: 0.904, prior_entropy: 0.9767, recall: 0.904, relative_absolute_error: 0.3748, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.2772, root_relative_squared_error: 0.5637, scimark_benchmark: 940.581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9514, build_cpu_time: 3.0668, build_memory: 859836276, f_measure: 0.9033, kappa: 0.7992, kb_relative_information_score: 341.7213, mean_absolute_error: 0.1657, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.9046, predictive_accuracy: 0.904, prior_entropy: 0.9767, recall: 0.904, relative_absolute_error: 0.3425, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.2805, root_relative_squared_error: 0.5703, scimark_benchmark: 941.2652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9504, build_cpu_time: 1.541, build_memory: 2953459071.2, f_measure: 0.8954, kappa: 0.7828, kb_relative_information_score: 340.2009, mean_absolute_error: 0.1663, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8962, predictive_accuracy: 0.896, prior_entropy: 0.9767, recall: 0.896, relative_absolute_error: 0.3438, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.2842, root_relative_squared_error: 0.5779, scimark_benchmark: 946.772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9468, build_cpu_time: 0.8695, build_memory: 585261968, f_measure: 0.9015, kappa: 0.7955, kb_relative_information_score: 341.2567, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.9022, predictive_accuracy: 0.902, prior_entropy: 0.9767, recall: 0.902, relative_absolute_error: 0.3418, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.2847, root_relative_squared_error: 0.5788, scimark_benchmark: 943.7313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9434, build_cpu_time: 0.3796, build_memory: 93681464.8, f_measure: 0.8914, kappa: 0.7748, kb_relative_information_score: 338.3039, mean_absolute_error: 0.1671, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.892, predictive_accuracy: 0.892, prior_entropy: 0.9767, recall: 0.892, relative_absolute_error: 0.3454, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.2911, root_relative_squared_error: 0.5919, scimark_benchmark: 947.6317,

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