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Line: 30
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File: /var/www/openml/index.php
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Function: require_once

A PHP Error was encountered

Severity: Warning

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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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File: /var/www/openml/openml_OS/controllers/Frontend.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:

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
Line: 117
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 balance-scale

Supervised Classification on balance-scale

Task 1775 Supervised Classification balance-scale 303 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9383, f_measure: 0.8372, kappa: 0.739, kb_relative_information_score: 1860.4088, mean_absolute_error: 0.1441, mean_prior_absolute_error: 0.3798, number_of_instances: 3125, precision: 0.8233, predictive_accuracy: 0.856, prior_entropy: 1.3212, recall: 0.856, relative_absolute_error: 0.3794, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2757, root_relative_squared_error: 0.6329, scimark_benchmark: 869.6028, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8864, f_measure: 0.8416, kappa: 0.7727, kb_relative_information_score: 1055.7644, mean_absolute_error: 0.2669, mean_prior_absolute_error: 0.3798, number_of_instances: 3125, precision: 0.8087, predictive_accuracy: 0.8774, prior_entropy: 1.3212, recall: 0.8774, relative_absolute_error: 0.7028, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3446, root_relative_squared_error: 0.7911, scimark_benchmark: 876.0664, usercpu_time_millis: 200, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.881, f_measure: 0.838, kappa: 0.7656, kb_relative_information_score: 1048.1418, mean_absolute_error: 0.2677, mean_prior_absolute_error: 0.3798, number_of_instances: 3125, precision: 0.8051, predictive_accuracy: 0.8736, prior_entropy: 1.3212, recall: 0.8736, relative_absolute_error: 0.705, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3458, root_relative_squared_error: 0.7939, scimark_benchmark: 1321.527, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, f_measure: 0.8444, kappa: 0.7694, kb_relative_information_score: 2155.8949, mean_absolute_error: 0.1222, mean_prior_absolute_error: 0.3798, number_of_instances: 3125, precision: 0.8523, predictive_accuracy: 0.8752, prior_entropy: 1.3212, recall: 0.8752, relative_absolute_error: 0.3217, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2293, root_relative_squared_error: 0.5264, scimark_benchmark: 895.5332, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8816, f_measure: 0.8367, kappa: 0.7632, kb_relative_information_score: 2184.3434, mean_absolute_error: 0.0851, mean_prior_absolute_error: 0.3798, number_of_instances: 3125, precision: 0.804, predictive_accuracy: 0.8723, prior_entropy: 1.3212, recall: 0.8723, relative_absolute_error: 0.2241, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2918, root_relative_squared_error: 0.6698, scimark_benchmark: 938.9967, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8472, f_measure: 0.7485, kappa: 0.5892, kb_relative_information_score: 1262.8423, mean_absolute_error: 0.2368, mean_prior_absolute_error: 0.3798, number_of_instances: 3125, precision: 0.74, predictive_accuracy: 0.7779, prior_entropy: 1.3212, recall: 0.7779, relative_absolute_error: 0.6236, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3428, root_relative_squared_error: 0.7871, scimark_benchmark: 1072.3689, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9456, f_measure: 0.8236, kappa: 0.6997, kb_relative_information_score: 1798.3731, mean_absolute_error: 0.1546, mean_prior_absolute_error: 0.3798, number_of_instances: 3125, precision: 0.8164, predictive_accuracy: 0.831, prior_entropy: 1.3212, recall: 0.831, relative_absolute_error: 0.4072, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2799, root_relative_squared_error: 0.6425, scimark_benchmark: 1301.9956, usercpu_time_millis: 150, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8315, f_measure: 0.7872, kappa: 0.6176, kb_relative_information_score: 1760.6693, mean_absolute_error: 0.147, mean_prior_absolute_error: 0.3798, number_of_instances: 3125, precision: 0.7952, predictive_accuracy: 0.7795, prior_entropy: 1.3212, recall: 0.7795, relative_absolute_error: 0.387, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3834, root_relative_squared_error: 0.8802, scimark_benchmark: 1307.4861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8541, f_measure: 0.7434, kappa: 0.5787, kb_relative_information_score: 1465.2804, mean_absolute_error: 0.2027, mean_prior_absolute_error: 0.3798, number_of_instances: 3125, precision: 0.7198, predictive_accuracy: 0.7715, prior_entropy: 1.3212, recall: 0.7715, relative_absolute_error: 0.5338, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.345, root_relative_squared_error: 0.792, scimark_benchmark: 1325.942, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8335, f_measure: 0.7551, kappa: 0.5989, kb_relative_information_score: 1546.9494, mean_absolute_error: 0.1925, mean_prior_absolute_error: 0.3798, number_of_instances: 3125, precision: 0.7347, predictive_accuracy: 0.7821, prior_entropy: 1.3212, recall: 0.7821, relative_absolute_error: 0.5068, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3516, root_relative_squared_error: 0.8072, scimark_benchmark: 1327.6929, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8264, f_measure: 0.781, kappa: 0.6179, kb_relative_information_score: 1768.2531, mean_absolute_error: 0.1444, mean_prior_absolute_error: 0.3798, number_of_instances: 3125, precision: 0.7786, predictive_accuracy: 0.7834, prior_entropy: 1.3212, recall: 0.7834, relative_absolute_error: 0.3803, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.38, root_relative_squared_error: 0.8725, scimark_benchmark: 1315.395, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.1637, kappa: -0.0026, kb_relative_information_score: -907.3964, mean_absolute_error: 0.5508, mean_prior_absolute_error: 0.3798, number_of_instances: 3125, precision: 0.2208, predictive_accuracy: 0.1738, prior_entropy: 1.3212, recall: 0.1738, relative_absolute_error: 1.4504, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.7422, root_relative_squared_error: 1.7039, scimark_benchmark: 1368.9272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8771, f_measure: 0.8119, kappa: 0.6776, kb_relative_information_score: 1882.0625, mean_absolute_error: 0.1425, mean_prior_absolute_error: 0.3798, number_of_instances: 3125, precision: 0.8056, predictive_accuracy: 0.8189, prior_entropy: 1.3212, recall: 0.8189, relative_absolute_error: 0.3751, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3225, root_relative_squared_error: 0.7403, scimark_benchmark: 1466.6185, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.63, f_measure: 0.5762, kappa: 0.2599, kb_relative_information_score: 894.7865, mean_absolute_error: 0.266, mean_prior_absolute_error: 0.3798, number_of_instances: 3125, precision: 0.5543, predictive_accuracy: 0.601, prior_entropy: 1.3212, recall: 0.601, relative_absolute_error: 0.7005, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.5158, root_relative_squared_error: 1.1841, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.815, f_measure: 0.7689, kappa: 0.6215, kb_relative_information_score: 1812.7288, mean_absolute_error: 0.1378, mean_prior_absolute_error: 0.3798, number_of_instances: 3125, precision: 0.7494, predictive_accuracy: 0.7933, prior_entropy: 1.3212, recall: 0.7933, relative_absolute_error: 0.3629, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3712, root_relative_squared_error: 0.8523, scimark_benchmark: 1028.5889, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.2907, kb_relative_information_score: 0.8296, mean_absolute_error: 0.3801, mean_prior_absolute_error: 0.3798, number_of_instances: 3125, precision: 0.2123, predictive_accuracy: 0.4608, prior_entropy: 1.3212, recall: 0.4608, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4356, root_relative_squared_error: 1, scimark_benchmark: 1028.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8399, f_measure: 0.768, kappa: 0.6154, kb_relative_information_score: 1656.406, mean_absolute_error: 0.1761, mean_prior_absolute_error: 0.3798, number_of_instances: 3125, precision: 0.7503, predictive_accuracy: 0.7888, prior_entropy: 1.3212, recall: 0.7888, relative_absolute_error: 0.4638, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3466, root_relative_squared_error: 0.7957, scimark_benchmark: 977.6382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, build_cpu_time: 0.2131, build_memory: 219787426.8314, f_measure: 0.838, kappa: 0.7656, kb_relative_information_score: 2146.9738, mean_absolute_error: 0.1281, mean_prior_absolute_error: 0.3798, number_of_instances: 3125, precision: 0.8051, predictive_accuracy: 0.8736, prior_entropy: 1.3212, recall: 0.8736, relative_absolute_error: 0.3373, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2423, root_relative_squared_error: 0.5562, scimark_benchmark: 908.0578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, build_cpu_time: 0.0929, build_memory: 2242454059.1642, f_measure: 0.838, kappa: 0.7656, kb_relative_information_score: 2146.9738, mean_absolute_error: 0.1281, mean_prior_absolute_error: 0.3798, number_of_instances: 3125, precision: 0.8051, predictive_accuracy: 0.8736, prior_entropy: 1.3212, recall: 0.8736, relative_absolute_error: 0.3373, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2423, root_relative_squared_error: 0.5562, scimark_benchmark: 938.8409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, build_cpu_time: 0.1356, build_memory: 982952570.5216, f_measure: 0.838, kappa: 0.7656, kb_relative_information_score: 2146.9738, mean_absolute_error: 0.1281, mean_prior_absolute_error: 0.3798, number_of_instances: 3125, precision: 0.8051, predictive_accuracy: 0.8736, prior_entropy: 1.3212, recall: 0.8736, relative_absolute_error: 0.3373, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2423, root_relative_squared_error: 0.5562, scimark_benchmark: 920.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, build_cpu_time: 0.1007, build_memory: 1369124466.4422, f_measure: 0.838, kappa: 0.7656, kb_relative_information_score: 2146.9738, mean_absolute_error: 0.1281, mean_prior_absolute_error: 0.3798, number_of_instances: 3125, precision: 0.8051, predictive_accuracy: 0.8736, prior_entropy: 1.3212, recall: 0.8736, relative_absolute_error: 0.3373, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2423, root_relative_squared_error: 0.5562, scimark_benchmark: 947.2691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, build_cpu_time: 0.0969, build_memory: 798723437.2275, f_measure: 0.838, kappa: 0.7656, kb_relative_information_score: 2146.9738, mean_absolute_error: 0.1281, mean_prior_absolute_error: 0.3798, number_of_instances: 3125, precision: 0.8051, predictive_accuracy: 0.8736, prior_entropy: 1.3212, recall: 0.8736, relative_absolute_error: 0.3373, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2423, root_relative_squared_error: 0.5562, scimark_benchmark: 925.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9387, build_cpu_time: 0.0122, build_memory: 850016712, f_measure: 0.8073, kappa: 0.6783, kb_relative_information_score: 1844.5166, mean_absolute_error: 0.1497, mean_prior_absolute_error: 0.3798, number_of_instances: 3125, precision: 0.7957, predictive_accuracy: 0.8214, prior_entropy: 1.3212, recall: 0.8214, relative_absolute_error: 0.3943, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2923, root_relative_squared_error: 0.671, scimark_benchmark: 935.1201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9378, build_cpu_time: 0.0103, build_memory: 300568991.9821, f_measure: 0.8079, kappa: 0.6774, kb_relative_information_score: 1850.9639, mean_absolute_error: 0.1491, mean_prior_absolute_error: 0.3798, number_of_instances: 3125, precision: 0.7971, predictive_accuracy: 0.8205, prior_entropy: 1.3212, recall: 0.8205, relative_absolute_error: 0.3925, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2933, root_relative_squared_error: 0.6734, scimark_benchmark: 941.7846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9378, build_cpu_time: 0.0105, build_memory: 1258846125.3862, f_measure: 0.8079, kappa: 0.6774, kb_relative_information_score: 1850.9639, mean_absolute_error: 0.1491, mean_prior_absolute_error: 0.3798, number_of_instances: 3125, precision: 0.7971, predictive_accuracy: 0.8205, prior_entropy: 1.3212, recall: 0.8205, relative_absolute_error: 0.3925, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2933, root_relative_squared_error: 0.6734, scimark_benchmark: 939.1359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9378, build_cpu_time: 0.0115, build_memory: 348242664.3533, f_measure: 0.8079, kappa: 0.6774, kb_relative_information_score: 1850.9639, mean_absolute_error: 0.1491, mean_prior_absolute_error: 0.3798, number_of_instances: 3125, precision: 0.7971, predictive_accuracy: 0.8205, prior_entropy: 1.3212, recall: 0.8205, relative_absolute_error: 0.3925, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2933, root_relative_squared_error: 0.6734, scimark_benchmark: 918.9027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9378, build_cpu_time: 0.0186, build_memory: 141568188.9126, f_measure: 0.8079, kappa: 0.6774, kb_relative_information_score: 1850.9639, mean_absolute_error: 0.1491, mean_prior_absolute_error: 0.3798, number_of_instances: 3125, precision: 0.7971, predictive_accuracy: 0.8205, prior_entropy: 1.3212, recall: 0.8205, relative_absolute_error: 0.3925, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2933, root_relative_squared_error: 0.6734, scimark_benchmark: 940.9906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8347, build_cpu_time: 0.004, build_memory: 302127397.5782, f_measure: 0.7913, kappa: 0.6245, kb_relative_information_score: 1786.9163, mean_absolute_error: 0.1444, mean_prior_absolute_error: 0.3798, number_of_instances: 3125, precision: 0.7996, predictive_accuracy: 0.7834, prior_entropy: 1.3212, recall: 0.7834, relative_absolute_error: 0.3803, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.38, root_relative_squared_error: 0.8725, scimark_benchmark: 926.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8347, build_cpu_time: 0.0048, build_memory: 2022217736.8653, f_measure: 0.7913, kappa: 0.6245, kb_relative_information_score: 1786.9163, mean_absolute_error: 0.1444, mean_prior_absolute_error: 0.3798, number_of_instances: 3125, precision: 0.7996, predictive_accuracy: 0.7834, prior_entropy: 1.3212, recall: 0.7834, relative_absolute_error: 0.3803, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.38, root_relative_squared_error: 0.8725, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8347, build_cpu_time: 0.0037, build_memory: 2666866196.8, f_measure: 0.7913, kappa: 0.6245, kb_relative_information_score: 1786.9163, mean_absolute_error: 0.1444, mean_prior_absolute_error: 0.3798, number_of_instances: 3125, precision: 0.7996, predictive_accuracy: 0.7834, prior_entropy: 1.3212, recall: 0.7834, relative_absolute_error: 0.3803, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.38, root_relative_squared_error: 0.8725, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8347, build_cpu_time: 0.0017, build_memory: 1938189012.8, f_measure: 0.7913, kappa: 0.6245, kb_relative_information_score: 1786.9163, mean_absolute_error: 0.1444, mean_prior_absolute_error: 0.3798, number_of_instances: 3125, precision: 0.7996, predictive_accuracy: 0.7834, prior_entropy: 1.3212, recall: 0.7834, relative_absolute_error: 0.3803, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.38, root_relative_squared_error: 0.8725, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8347, build_cpu_time: 0.0036, build_memory: 277465512, f_measure: 0.7913, kappa: 0.6245, kb_relative_information_score: 1786.9163, mean_absolute_error: 0.1444, mean_prior_absolute_error: 0.3798, number_of_instances: 3125, precision: 0.7996, predictive_accuracy: 0.7834, prior_entropy: 1.3212, recall: 0.7834, relative_absolute_error: 0.3803, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.38, root_relative_squared_error: 0.8725, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9444, build_cpu_time: 0.0633, build_memory: 1015471181.7882, f_measure: 0.8242, kappa: 0.6991, kb_relative_information_score: 1798.2023, mean_absolute_error: 0.1544, mean_prior_absolute_error: 0.3798, number_of_instances: 3125, precision: 0.8181, predictive_accuracy: 0.8304, prior_entropy: 1.3212, recall: 0.8304, relative_absolute_error: 0.4067, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2808, root_relative_squared_error: 0.6446, scimark_benchmark: 939.9709,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8596, build_cpu_time: 0.0036, build_memory: 1603325185.6, f_measure: 0.701, kappa: 0.5009, kb_relative_information_score: 717.1278, mean_absolute_error: 0.3174, mean_prior_absolute_error: 0.3798, number_of_instances: 3125, precision: 0.6736, predictive_accuracy: 0.7309, prior_entropy: 1.3212, recall: 0.7309, relative_absolute_error: 0.8358, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3683, root_relative_squared_error: 0.8454, scimark_benchmark: 916.1588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8596, build_cpu_time: 0.029, build_memory: 28834454.2694, f_measure: 0.701, kappa: 0.5009, kb_relative_information_score: 717.1278, mean_absolute_error: 0.3174, mean_prior_absolute_error: 0.3798, number_of_instances: 3125, precision: 0.6736, predictive_accuracy: 0.7309, prior_entropy: 1.3212, recall: 0.7309, relative_absolute_error: 0.8358, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3683, root_relative_squared_error: 0.8454, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8705, build_cpu_time: 1.3834, build_memory: 587031224.5555, f_measure: 0.8037, kappa: 0.6451, kb_relative_information_score: 1836.1582, mean_absolute_error: 0.1367, mean_prior_absolute_error: 0.3798, number_of_instances: 3125, precision: 0.8126, predictive_accuracy: 0.7952, prior_entropy: 1.3212, recall: 0.7952, relative_absolute_error: 0.3598, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3663, root_relative_squared_error: 0.8409, scimark_benchmark: 933.8536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.898, build_cpu_time: 0.7212, build_memory: 2338245166.6099, f_measure: 0.805, kappa: 0.6478, kb_relative_information_score: 1853.8566, mean_absolute_error: 0.1357, mean_prior_absolute_error: 0.3798, number_of_instances: 3125, precision: 0.8136, predictive_accuracy: 0.7968, prior_entropy: 1.3212, recall: 0.7968, relative_absolute_error: 0.3572, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.8304, scimark_benchmark: 943.1304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9278, build_cpu_time: 0.3199, build_memory: 2930894695.4624, f_measure: 0.8032, kappa: 0.6464, kb_relative_information_score: 1846.3037, mean_absolute_error: 0.1361, mean_prior_absolute_error: 0.3798, number_of_instances: 3125, precision: 0.8102, predictive_accuracy: 0.7965, prior_entropy: 1.3212, recall: 0.7965, relative_absolute_error: 0.3584, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3552, root_relative_squared_error: 0.8154, scimark_benchmark: 937.2031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.944, build_cpu_time: 0.2414, build_memory: 954800641.9789, f_measure: 0.8035, kappa: 0.6499, kb_relative_information_score: 1868.4203, mean_absolute_error: 0.1339, mean_prior_absolute_error: 0.3798, number_of_instances: 3125, precision: 0.8077, predictive_accuracy: 0.7994, prior_entropy: 1.3212, recall: 0.7994, relative_absolute_error: 0.3526, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3389, root_relative_squared_error: 0.778, scimark_benchmark: 905.4188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8706, build_cpu_time: 0.0009, build_memory: 1738137284.5414, f_measure: 0.7178, kappa: 0.5305, kb_relative_information_score: 1252.6047, mean_absolute_error: 0.232, mean_prior_absolute_error: 0.3798, number_of_instances: 3125, precision: 0.7154, predictive_accuracy: 0.7462, prior_entropy: 1.3212, recall: 0.7462, relative_absolute_error: 0.6108, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3346, root_relative_squared_error: 0.7681, scimark_benchmark: 933.9469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8707, build_cpu_time: 0.007, build_memory: 375193311.2038, f_measure: 0.7249, kappa: 0.5442, kb_relative_information_score: 1160.29, mean_absolute_error: 0.2449, mean_prior_absolute_error: 0.3798, number_of_instances: 3125, precision: 0.722, predictive_accuracy: 0.7536, prior_entropy: 1.3212, recall: 0.7536, relative_absolute_error: 0.6448, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3356, root_relative_squared_error: 0.7705, scimark_benchmark: 944.3832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9456, build_cpu_time: 0.0554, build_memory: 705339349.8598, f_measure: 0.8236, kappa: 0.6997, kb_relative_information_score: 1798.3731, mean_absolute_error: 0.1546, mean_prior_absolute_error: 0.3798, number_of_instances: 3125, precision: 0.8164, predictive_accuracy: 0.831, prior_entropy: 1.3212, recall: 0.831, relative_absolute_error: 0.4072, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2799, root_relative_squared_error: 0.6425, scimark_benchmark: 938.6628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8397, build_cpu_time: 0.0115, build_memory: 85504756.8896, f_measure: 0.764, kappa: 0.6226, kb_relative_information_score: 1554.1094, mean_absolute_error: 0.1933, mean_prior_absolute_error: 0.3798, number_of_instances: 3125, precision: 0.734, predictive_accuracy: 0.7965, prior_entropy: 1.3212, recall: 0.7965, relative_absolute_error: 0.5091, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3409, root_relative_squared_error: 0.7826, scimark_benchmark: 937.1859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9181, build_cpu_time: 0.0005, build_memory: 137153918.7917, f_measure: 0.8113, kappa: 0.6812, kb_relative_information_score: 1782.9649, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.3798, number_of_instances: 3125, precision: 0.8056, predictive_accuracy: 0.8214, prior_entropy: 1.3212, recall: 0.8214, relative_absolute_error: 0.3814, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3028, root_relative_squared_error: 0.6951, scimark_benchmark: 875.7999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8864, build_cpu_time: 0.06, build_memory: 139241579.7862, f_measure: 0.8416, kappa: 0.7727, kb_relative_information_score: 1055.7644, mean_absolute_error: 0.2669, mean_prior_absolute_error: 0.3798, number_of_instances: 3125, precision: 0.8087, predictive_accuracy: 0.8774, prior_entropy: 1.3212, recall: 0.8774, relative_absolute_error: 0.7028, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3446, root_relative_squared_error: 0.7911, scimark_benchmark: 937.4673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.881, build_cpu_time: 0.0262, build_memory: 125558895.4291, f_measure: 0.838, kappa: 0.7656, kb_relative_information_score: 1048.1418, mean_absolute_error: 0.2677, mean_prior_absolute_error: 0.3798, number_of_instances: 3125, precision: 0.8051, predictive_accuracy: 0.8736, prior_entropy: 1.3212, recall: 0.8736, relative_absolute_error: 0.705, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3458, root_relative_squared_error: 0.7939, scimark_benchmark: 928.1083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, build_cpu_time: 0.0098, build_memory: 125337310.5101, f_measure: 0.8874, kappa: 0.8053, kb_relative_information_score: 2432.1523, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.3798, number_of_instances: 3125, precision: 0.8853, predictive_accuracy: 0.8899, prior_entropy: 1.3212, recall: 0.8899, relative_absolute_error: 0.2386, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2119, root_relative_squared_error: 0.4865, scimark_benchmark: 947.9978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9215, build_cpu_time: 0.0114, build_memory: 707646321.408, f_measure: 0.7896, kappa: 0.6698, kb_relative_information_score: 1499.3453, mean_absolute_error: 0.1992, mean_prior_absolute_error: 0.3798, number_of_instances: 3125, precision: 0.7602, predictive_accuracy: 0.8214, prior_entropy: 1.3212, recall: 0.8214, relative_absolute_error: 0.5245, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2969, root_relative_squared_error: 0.6815, scimark_benchmark: 945.4151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9215, build_cpu_time: 0.0115, build_memory: 1077775349.5014, f_measure: 0.7896, kappa: 0.6698, kb_relative_information_score: 1499.3453, mean_absolute_error: 0.1992, mean_prior_absolute_error: 0.3798, number_of_instances: 3125, precision: 0.7602, predictive_accuracy: 0.8214, prior_entropy: 1.3212, recall: 0.8214, relative_absolute_error: 0.5245, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2969, root_relative_squared_error: 0.6815, scimark_benchmark: 933.4176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.63, build_cpu_time: 0.0005, build_memory: 909817261.2685, f_measure: 0.5762, kappa: 0.2599, kb_relative_information_score: 894.7865, mean_absolute_error: 0.266, mean_prior_absolute_error: 0.3798, number_of_instances: 3125, precision: 0.5543, predictive_accuracy: 0.601, prior_entropy: 1.3212, recall: 0.601, relative_absolute_error: 0.7005, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.5158, root_relative_squared_error: 1.1841, scimark_benchmark: 946.5615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, build_cpu_time: 0.0004, build_memory: 153614282.8902, f_measure: 0.8547, kappa: 0.7971, kb_relative_information_score: 1466.5958, mean_absolute_error: 0.2132, mean_prior_absolute_error: 0.3798, number_of_instances: 3125, precision: 0.8991, predictive_accuracy: 0.8906, prior_entropy: 1.3212, recall: 0.8906, relative_absolute_error: 0.5613, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.281, root_relative_squared_error: 0.645, scimark_benchmark: 947.7747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, build_cpu_time: 0.0007, build_memory: 618306647.255, f_measure: 0.8547, kappa: 0.7971, kb_relative_information_score: 1466.5958, mean_absolute_error: 0.2132, mean_prior_absolute_error: 0.3798, number_of_instances: 3125, precision: 0.8991, predictive_accuracy: 0.8906, prior_entropy: 1.3212, recall: 0.8906, relative_absolute_error: 0.5613, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.281, root_relative_squared_error: 0.645, scimark_benchmark: 938.2445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, build_cpu_time: 0.0005, build_memory: 461143210.0045, f_measure: 0.8547, kappa: 0.7971, kb_relative_information_score: 1466.5958, mean_absolute_error: 0.2132, mean_prior_absolute_error: 0.3798, number_of_instances: 3125, precision: 0.8991, predictive_accuracy: 0.8906, prior_entropy: 1.3212, recall: 0.8906, relative_absolute_error: 0.5613, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.281, root_relative_squared_error: 0.645, scimark_benchmark: 922.5645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9215, build_cpu_time: 0.1307, build_memory: 1504337107.776, f_measure: 0.8386, kappa: 0.7668, kb_relative_information_score: 1051.7564, mean_absolute_error: 0.2673, mean_prior_absolute_error: 0.3798, number_of_instances: 3125, precision: 0.8059, predictive_accuracy: 0.8742, prior_entropy: 1.3212, recall: 0.8742, relative_absolute_error: 0.7039, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.335, root_relative_squared_error: 0.7691, scimark_benchmark: 943.4668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9196, build_cpu_time: 0.2865, build_memory: 549681983.3549, f_measure: 0.8389, kappa: 0.7674, kb_relative_information_score: 1052.0024, mean_absolute_error: 0.2673, mean_prior_absolute_error: 0.3798, number_of_instances: 3125, precision: 0.8061, predictive_accuracy: 0.8746, prior_entropy: 1.3212, recall: 0.8746, relative_absolute_error: 0.7038, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3342, root_relative_squared_error: 0.7672, scimark_benchmark: 934.8065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, build_cpu_time: 0.5262, build_memory: 692176625.367, f_measure: 0.8401, kappa: 0.7697, kb_relative_information_score: 1051.9038, mean_absolute_error: 0.2673, mean_prior_absolute_error: 0.3798, number_of_instances: 3125, precision: 0.8072, predictive_accuracy: 0.8758, prior_entropy: 1.3212, recall: 0.8758, relative_absolute_error: 0.7038, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3322, root_relative_squared_error: 0.7627, scimark_benchmark: 927.8402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, build_cpu_time: 0.9378, build_memory: 977177564.2061, f_measure: 0.8389, kappa: 0.7674, kb_relative_information_score: 1051.7063, mean_absolute_error: 0.2673, mean_prior_absolute_error: 0.3798, number_of_instances: 3125, precision: 0.806, predictive_accuracy: 0.8746, prior_entropy: 1.3212, recall: 0.8746, relative_absolute_error: 0.7038, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3305, root_relative_squared_error: 0.7588, scimark_benchmark: 921.6213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, build_cpu_time: 0.9332, build_memory: 419761154.5856, f_measure: 0.8389, kappa: 0.7674, kb_relative_information_score: 1051.7063, mean_absolute_error: 0.2673, mean_prior_absolute_error: 0.3798, number_of_instances: 3125, precision: 0.806, predictive_accuracy: 0.8746, prior_entropy: 1.3212, recall: 0.8746, relative_absolute_error: 0.7038, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3305, root_relative_squared_error: 0.7588, scimark_benchmark: 938.2568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9111, build_cpu_time: 1.945, build_memory: 1395110380.1421, f_measure: 0.8392, kappa: 0.768, kb_relative_information_score: 1051.519, mean_absolute_error: 0.2673, mean_prior_absolute_error: 0.3798, number_of_instances: 3125, precision: 0.8063, predictive_accuracy: 0.8749, prior_entropy: 1.3212, recall: 0.8749, relative_absolute_error: 0.7038, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3306, root_relative_squared_error: 0.7589, scimark_benchmark: 944.9156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9391, build_cpu_time: 0.1239, build_memory: 1446718786.519, f_measure: 0.8139, kappa: 0.7179, kb_relative_information_score: 1522.7851, mean_absolute_error: 0.198, mean_prior_absolute_error: 0.3798, number_of_instances: 3125, precision: 0.7827, predictive_accuracy: 0.8477, prior_entropy: 1.3212, recall: 0.8477, relative_absolute_error: 0.5213, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2853, root_relative_squared_error: 0.6549, scimark_benchmark: 902.5808,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs