DEVELOPMENT...

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
Line: 104
Function: query

File: /var/www/openml/openml_OS/helpers/cms_helper.php
Line: 19
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

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
Line: 124
Function: query

File: /var/www/openml/openml_OS/helpers/cms_helper.php
Line: 19
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

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
Line: 117
Function: query

File: /var/www/openml/openml_OS/helpers/cms_helper.php
Line: 19
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
OpenML
Supervised Classification on analcatdata_broadwaymult

Supervised Classification on analcatdata_broadwaymult

Task 3544 Supervised Classification analcatdata_broadwaymult 364 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • study_1 study_107 study_41 under100k under1m
Issue #Downvotes for this reason By


Metric:

364 Runs

Fetching data
Fetching data
Search runs in more detail run
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6575, build_cpu_time: 0.0052, build_memory: 277419965.3614, f_measure: 0.3622, kappa: 0.2821, kb_relative_information_score: 65.5238, mean_absolute_error: 0.1905, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.2855, predictive_accuracy: 0.5088, prior_entropy: 2.4897, recall: 0.5088, relative_absolute_error: 0.8645, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.309, root_relative_squared_error: 0.9324, scimark_benchmark: 936.1433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.755, build_cpu_time: 19.3269, build_memory: 734820048.1684, f_measure: 0.4844, kappa: 0.332, kb_relative_information_score: 107.9388, mean_absolute_error: 0.1443, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.545, predictive_accuracy: 0.4947, prior_entropy: 2.4897, recall: 0.4947, relative_absolute_error: 0.6549, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3707, root_relative_squared_error: 1.1184, scimark_benchmark: 912.091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7547, build_cpu_time: 9.9606, build_memory: 122195661.6702, f_measure: 0.4935, kappa: 0.3286, kb_relative_information_score: 109.9666, mean_absolute_error: 0.1443, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.5193, predictive_accuracy: 0.4912, prior_entropy: 2.4897, recall: 0.4912, relative_absolute_error: 0.6551, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3641, root_relative_squared_error: 1.0985, scimark_benchmark: 937.1932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7514, build_cpu_time: 8.4473, build_memory: 2416088663.6351, f_measure: 0.5173, kappa: 0.3644, kb_relative_information_score: 113.9419, mean_absolute_error: 0.1462, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.5284, predictive_accuracy: 0.5123, prior_entropy: 2.4897, recall: 0.5123, relative_absolute_error: 0.6635, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3482, root_relative_squared_error: 1.0506, scimark_benchmark: 944.3832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7666, build_cpu_time: 2.6196, build_memory: 1285452923.986, f_measure: 0.4965, kappa: 0.3422, kb_relative_information_score: 105.7439, mean_absolute_error: 0.1556, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.4998, predictive_accuracy: 0.5053, prior_entropy: 2.4897, recall: 0.5053, relative_absolute_error: 0.7063, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3252, root_relative_squared_error: 0.9811, scimark_benchmark: 940.4464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5811, build_cpu_time: 0.0025, build_memory: 1387238966.7088, f_measure: 0.2864, kappa: 0.0754, kb_relative_information_score: 38.3273, mean_absolute_error: 0.21, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.2646, predictive_accuracy: 0.3123, prior_entropy: 2.4897, recall: 0.3123, relative_absolute_error: 0.9531, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.396, root_relative_squared_error: 1.1947, scimark_benchmark: 918.4301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6466, build_cpu_time: 0.0606, build_memory: 709161299.593, f_measure: 0.3163, kappa: 0.0907, kb_relative_information_score: 44.6413, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.2892, predictive_accuracy: 0.3719, prior_entropy: 2.4897, recall: 0.3719, relative_absolute_error: 0.9351, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3324, root_relative_squared_error: 1.0029, scimark_benchmark: 936.8525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6067, build_cpu_time: 0.0198, build_memory: 1261312969.3754, f_measure: 0.352, kappa: 0.157, kb_relative_information_score: 39.6212, mean_absolute_error: 0.2016, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.4009, predictive_accuracy: 0.4526, prior_entropy: 2.4897, recall: 0.4526, relative_absolute_error: 0.9149, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3302, root_relative_squared_error: 0.9964, scimark_benchmark: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4549, build_cpu_time: 0.0001, build_memory: 1312424672.0842, f_measure: 0.2628, kappa: 0.0002, kb_relative_information_score: 29.775, mean_absolute_error: 0.2225, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.2674, predictive_accuracy: 0.2947, prior_entropy: 2.4897, recall: 0.2947, relative_absolute_error: 1.0099, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.4201, root_relative_squared_error: 1.2675, scimark_benchmark: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5706, build_cpu_time: 0.115, build_memory: 684830674.2737, f_measure: 0.2425, kb_relative_information_score: 18.4973, mean_absolute_error: 0.2274, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.1714, predictive_accuracy: 0.414, prior_entropy: 2.4897, recall: 0.414, relative_absolute_error: 1.0323, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3376, root_relative_squared_error: 1.0187, scimark_benchmark: 945.384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7678, build_cpu_time: 0.122, build_memory: 836855144.7018, f_measure: 0.5341, kappa: 0.4163, kb_relative_information_score: 55.7192, mean_absolute_error: 0.2177, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.5182, predictive_accuracy: 0.5684, prior_entropy: 2.4897, recall: 0.5684, relative_absolute_error: 0.9881, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3222, root_relative_squared_error: 0.972, scimark_benchmark: 942.9216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5719, build_cpu_time: 4.1129, build_memory: 86396988.1263, f_measure: 0.2963, kappa: 0.097, kb_relative_information_score: 43.7809, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.3075, predictive_accuracy: 0.2877, prior_entropy: 2.4897, recall: 0.2877, relative_absolute_error: 0.9322, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.4375, root_relative_squared_error: 1.3201, scimark_benchmark: 926.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4412, build_cpu_time: 0.0138, build_memory: 1227495664, f_measure: 0.2306, kappa: -0.02, kb_relative_information_score: 22.2502, mean_absolute_error: 0.2254, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.2337, predictive_accuracy: 0.2316, prior_entropy: 2.4897, recall: 0.2316, relative_absolute_error: 1.023, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3925, root_relative_squared_error: 1.1842, scimark_benchmark: 930.1524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6575, build_cpu_time: 0.0022, build_memory: 315659152, f_measure: 0.3622, kappa: 0.2821, kb_relative_information_score: 65.5238, mean_absolute_error: 0.1905, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.2855, predictive_accuracy: 0.5088, prior_entropy: 2.4897, recall: 0.5088, relative_absolute_error: 0.8645, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.309, root_relative_squared_error: 0.9324, scimark_benchmark: 930.1524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6575, build_cpu_time: 0.0024, build_memory: 276361083.3684, f_measure: 0.3622, kappa: 0.2821, kb_relative_information_score: 65.5238, mean_absolute_error: 0.1905, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.2855, predictive_accuracy: 0.5088, prior_entropy: 2.4897, recall: 0.5088, relative_absolute_error: 0.8645, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.309, root_relative_squared_error: 0.9324, scimark_benchmark: 934.4754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4746, build_cpu_time: 0.0005, build_memory: 794041376, f_measure: 0.2412, kappa: -0.0255, kb_relative_information_score: 32.0425, mean_absolute_error: 0.2035, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.2136, predictive_accuracy: 0.2877, prior_entropy: 2.4897, recall: 0.2877, relative_absolute_error: 0.9238, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.4511, root_relative_squared_error: 1.3611, scimark_benchmark: 943.9113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4746, build_cpu_time: 0.0003, build_memory: 294804504, f_measure: 0.2412, kappa: -0.0255, kb_relative_information_score: 32.0425, mean_absolute_error: 0.2035, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.2136, predictive_accuracy: 0.2877, prior_entropy: 2.4897, recall: 0.2877, relative_absolute_error: 0.9238, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.4511, root_relative_squared_error: 1.3611, scimark_benchmark: 947.5974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.473, build_cpu_time: 0.0003, build_memory: 714412724.2667, f_measure: 0.2425, kb_relative_information_score: 0.4879, mean_absolute_error: 0.2204, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.1714, predictive_accuracy: 0.414, prior_entropy: 2.4897, recall: 0.414, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3315, root_relative_squared_error: 1.0002, scimark_benchmark: 945.6567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.473, build_cpu_time: 0.0001, build_memory: 790044400, f_measure: 0.2425, kb_relative_information_score: 0.4879, mean_absolute_error: 0.2204, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.1714, predictive_accuracy: 0.414, prior_entropy: 2.4897, recall: 0.414, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3315, root_relative_squared_error: 1.0002, scimark_benchmark: 947.7747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.473, build_cpu_time: 0.0002, build_memory: 1000276584, f_measure: 0.2425, kb_relative_information_score: 0.4879, mean_absolute_error: 0.2204, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.1714, predictive_accuracy: 0.414, prior_entropy: 2.4897, recall: 0.414, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3315, root_relative_squared_error: 1.0002, scimark_benchmark: 922.5645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7799, build_cpu_time: 0.0005, build_memory: 367856824, f_measure: 0.4918, kappa: 0.358, kb_relative_information_score: 87.3677, mean_absolute_error: 0.1792, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.4839, predictive_accuracy: 0.5123, prior_entropy: 2.4897, recall: 0.5123, relative_absolute_error: 0.8133, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3039, root_relative_squared_error: 0.917, scimark_benchmark: 947.3376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7799, build_cpu_time: 0.0008, build_memory: 280112968, f_measure: 0.4918, kappa: 0.358, kb_relative_information_score: 87.3677, mean_absolute_error: 0.1792, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.4839, predictive_accuracy: 0.5123, prior_entropy: 2.4897, recall: 0.5123, relative_absolute_error: 0.8133, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3039, root_relative_squared_error: 0.917, scimark_benchmark: 946.9694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7799, build_cpu_time: 0.0005, build_memory: 57170282.9193, f_measure: 0.4918, kappa: 0.358, kb_relative_information_score: 87.3677, mean_absolute_error: 0.1792, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.4839, predictive_accuracy: 0.5123, prior_entropy: 2.4897, recall: 0.5123, relative_absolute_error: 0.8133, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3039, root_relative_squared_error: 0.917, scimark_benchmark: 938.2445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7903, build_cpu_time: 1.2742, build_memory: 521551739.2561, f_measure: 0.5159, kappa: 0.4003, kb_relative_information_score: 51.2855, mean_absolute_error: 0.2196, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.5099, predictive_accuracy: 0.5614, prior_entropy: 2.4897, recall: 0.5614, relative_absolute_error: 0.997, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3231, root_relative_squared_error: 0.9749, scimark_benchmark: 937.2747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7876, build_cpu_time: 2.4271, build_memory: 873077085.9789, f_measure: 0.5312, kappa: 0.4171, kb_relative_information_score: 50.8681, mean_absolute_error: 0.2198, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.5225, predictive_accuracy: 0.5719, prior_entropy: 2.4897, recall: 0.5719, relative_absolute_error: 0.9978, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3232, root_relative_squared_error: 0.9751, scimark_benchmark: 894.2099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7876, build_cpu_time: 2.366, build_memory: 672982872.1404, f_measure: 0.5312, kappa: 0.4171, kb_relative_information_score: 50.8681, mean_absolute_error: 0.2198, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.5225, predictive_accuracy: 0.5719, prior_entropy: 2.4897, recall: 0.5719, relative_absolute_error: 0.9978, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3232, root_relative_squared_error: 0.9751, scimark_benchmark: 937.2747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7876, build_cpu_time: 2.241, build_memory: 875818152.7018, f_measure: 0.5312, kappa: 0.4171, kb_relative_information_score: 50.8681, mean_absolute_error: 0.2198, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.5225, predictive_accuracy: 0.5719, prior_entropy: 2.4897, recall: 0.5719, relative_absolute_error: 0.9978, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3232, root_relative_squared_error: 0.9751, scimark_benchmark: 928.8874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.791, build_cpu_time: 4.0547, build_memory: 751422763.3404, f_measure: 0.5379, kappa: 0.4234, kb_relative_information_score: 51.3693, mean_absolute_error: 0.2198, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.5321, predictive_accuracy: 0.5754, prior_entropy: 2.4897, recall: 0.5754, relative_absolute_error: 0.9976, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3231, root_relative_squared_error: 0.9747, scimark_benchmark: 927.8402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7918, build_cpu_time: 9.1466, build_memory: 930073875.9298, f_measure: 0.5221, kappa: 0.4068, kb_relative_information_score: 51.3979, mean_absolute_error: 0.2198, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.5115, predictive_accuracy: 0.5649, prior_entropy: 2.4897, recall: 0.5649, relative_absolute_error: 0.9976, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.323, root_relative_squared_error: 0.9746, scimark_benchmark: 946.0329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4362, build_cpu_time: 0.1691, build_memory: 1044818430.6246, f_measure: 0.2374, kappa: -0.0257, kb_relative_information_score: 21.5209, mean_absolute_error: 0.2266, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.2239, predictive_accuracy: 0.2596, prior_entropy: 2.4897, recall: 0.2596, relative_absolute_error: 1.0288, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3926, root_relative_squared_error: 1.1845, scimark_benchmark: 949.2096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4362, build_cpu_time: 0.1811, build_memory: 1928736129.6842, f_measure: 0.2374, kappa: -0.0257, kb_relative_information_score: 21.5209, mean_absolute_error: 0.2266, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.2239, predictive_accuracy: 0.2596, prior_entropy: 2.4897, recall: 0.2596, relative_absolute_error: 1.0288, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3926, root_relative_squared_error: 1.1845, scimark_benchmark: 938.5838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4249, build_cpu_time: 0.1096, build_memory: 204373387.7614, f_measure: 0.2129, kappa: -0.0633, kb_relative_information_score: 20.9274, mean_absolute_error: 0.2271, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.2084, predictive_accuracy: 0.2246, prior_entropy: 2.4897, recall: 0.2246, relative_absolute_error: 1.0309, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3927, root_relative_squared_error: 1.1848, scimark_benchmark: 946.7087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4352, build_cpu_time: 0.0535, build_memory: 788180324.6877, f_measure: 0.2395, kappa: -0.0138, kb_relative_information_score: 22.0041, mean_absolute_error: 0.2261, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.2351, predictive_accuracy: 0.2491, prior_entropy: 2.4897, recall: 0.2491, relative_absolute_error: 1.0263, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3918, root_relative_squared_error: 1.1821, scimark_benchmark: 919.2952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7075, build_cpu_time: 0.0099, build_memory: 899963299.0596, f_measure: 0.3694, kappa: 0.159, kb_relative_information_score: 57.5285, mean_absolute_error: 0.1976, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.3658, predictive_accuracy: 0.4281, prior_entropy: 2.4897, recall: 0.4281, relative_absolute_error: 0.8971, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3212, root_relative_squared_error: 0.969, scimark_benchmark: 919.2952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6481, build_cpu_time: 0.0699, build_memory: 640720558.5965, f_measure: 0.3005, kappa: 0.0694, kb_relative_information_score: 45.0599, mean_absolute_error: 0.2064, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.2707, predictive_accuracy: 0.3649, prior_entropy: 2.4897, recall: 0.3649, relative_absolute_error: 0.9367, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3316, root_relative_squared_error: 1.0003, scimark_benchmark: 929.0404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6481, build_cpu_time: 0.0635, build_memory: 1108000289.1228, f_measure: 0.3005, kappa: 0.0694, kb_relative_information_score: 45.0599, mean_absolute_error: 0.2064, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.2707, predictive_accuracy: 0.3649, prior_entropy: 2.4897, recall: 0.3649, relative_absolute_error: 0.9367, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3316, root_relative_squared_error: 1.0003, scimark_benchmark: 931.0999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.669, build_cpu_time: 11.2074, build_memory: 2471838730.0772, f_measure: 0.3023, kappa: 0.0655, kb_relative_information_score: 44.683, mean_absolute_error: 0.2059, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.2807, predictive_accuracy: 0.393, prior_entropy: 2.4897, recall: 0.393, relative_absolute_error: 0.9346, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3255, root_relative_squared_error: 0.982, scimark_benchmark: 930.6943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6674, build_cpu_time: 5.0507, build_memory: 1399764339.0877, f_measure: 0.3085, kappa: 0.0739, kb_relative_information_score: 44.2178, mean_absolute_error: 0.2062, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.2886, predictive_accuracy: 0.3965, prior_entropy: 2.4897, recall: 0.3965, relative_absolute_error: 0.9359, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.326, root_relative_squared_error: 0.9835, scimark_benchmark: 910.0613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6674, build_cpu_time: 4.9864, build_memory: 1373829732.2105, f_measure: 0.3085, kappa: 0.0739, kb_relative_information_score: 44.2178, mean_absolute_error: 0.2062, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.2886, predictive_accuracy: 0.3965, prior_entropy: 2.4897, recall: 0.3965, relative_absolute_error: 0.9359, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.326, root_relative_squared_error: 0.9835, scimark_benchmark: 896.8858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6718, build_cpu_time: 2.042, build_memory: 1372521917.586, f_measure: 0.3239, kappa: 0.1014, kb_relative_information_score: 45.5334, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.304, predictive_accuracy: 0.414, prior_entropy: 2.4897, recall: 0.414, relative_absolute_error: 0.9325, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3252, root_relative_squared_error: 0.981, scimark_benchmark: 846.5128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6726, build_cpu_time: 0.506, build_memory: 1870299705.0105, f_measure: 0.3249, kappa: 0.0995, kb_relative_information_score: 46.2431, mean_absolute_error: 0.2044, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.3086, predictive_accuracy: 0.4105, prior_entropy: 2.4897, recall: 0.4105, relative_absolute_error: 0.9279, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3255, root_relative_squared_error: 0.982, scimark_benchmark: 902.1764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4547, build_cpu_time: 0.0037, build_memory: 62443259.9018, f_measure: 0.2416, kappa: -0.0283, kb_relative_information_score: 36.7543, mean_absolute_error: 0.2101, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.2189, predictive_accuracy: 0.2842, prior_entropy: 2.4897, recall: 0.2842, relative_absolute_error: 0.9538, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.4015, root_relative_squared_error: 1.2114, scimark_benchmark: 785.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4547, build_cpu_time: 0.0031, build_memory: 1413002547.8737, f_measure: 0.2416, kappa: -0.0283, kb_relative_information_score: 36.7543, mean_absolute_error: 0.2101, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.2189, predictive_accuracy: 0.2842, prior_entropy: 2.4897, recall: 0.2842, relative_absolute_error: 0.9538, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.4015, root_relative_squared_error: 1.2114, scimark_benchmark: 942.3187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4484, build_cpu_time: 0.0061, build_memory: 2463627207.2421, f_measure: 0.2436, kappa: -0.0261, kb_relative_information_score: 35.6304, mean_absolute_error: 0.2115, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.2168, predictive_accuracy: 0.2912, prior_entropy: 2.4897, recall: 0.2912, relative_absolute_error: 0.9599, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3991, root_relative_squared_error: 1.204, scimark_benchmark: 942.3187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8245, build_cpu_time: 3.4578, build_memory: 449167712.0842, f_measure: 0.4795, kappa: 0.3581, kb_relative_information_score: 96.5679, mean_absolute_error: 0.1713, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.4604, predictive_accuracy: 0.5368, prior_entropy: 2.4897, recall: 0.5368, relative_absolute_error: 0.7773, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.2906, root_relative_squared_error: 0.8767, scimark_benchmark: 926.9727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4502, build_cpu_time: 0.0123, build_memory: 1291336190.7368, f_measure: 0.2517, kappa: -0.0127, kb_relative_information_score: 35.3776, mean_absolute_error: 0.2115, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.2253, predictive_accuracy: 0.2982, prior_entropy: 2.4897, recall: 0.2982, relative_absolute_error: 0.9602, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3981, root_relative_squared_error: 1.2012, scimark_benchmark: 910.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4439, build_cpu_time: 0.0308, build_memory: 665038445.7263, f_measure: 0.2469, kappa: -0.0183, kb_relative_information_score: 34.2602, mean_absolute_error: 0.2127, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.2213, predictive_accuracy: 0.2912, prior_entropy: 2.4897, recall: 0.2912, relative_absolute_error: 0.9656, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3983, root_relative_squared_error: 1.2018, scimark_benchmark: 785.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8169, build_cpu_time: 0.8304, build_memory: 646939268.0421, f_measure: 0.4946, kappa: 0.3676, kb_relative_information_score: 97.3727, mean_absolute_error: 0.1684, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.4852, predictive_accuracy: 0.5439, prior_entropy: 2.4897, recall: 0.5439, relative_absolute_error: 0.7645, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.2925, root_relative_squared_error: 0.8825, scimark_benchmark: 942.4281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7828, build_cpu_time: 0.0597, build_memory: 1707064794.1333, f_measure: 0.4975, kappa: 0.3653, kb_relative_information_score: 85.3975, mean_absolute_error: 0.1823, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.4894, predictive_accuracy: 0.5193, prior_entropy: 2.4897, recall: 0.5193, relative_absolute_error: 0.8277, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3029, root_relative_squared_error: 0.9138, scimark_benchmark: 905.0866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7828, build_cpu_time: 0.0604, build_memory: 2149627064.8421, f_measure: 0.4975, kappa: 0.3653, kb_relative_information_score: 85.3975, mean_absolute_error: 0.1823, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.4894, predictive_accuracy: 0.5193, prior_entropy: 2.4897, recall: 0.5193, relative_absolute_error: 0.8277, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3029, root_relative_squared_error: 0.9138, scimark_benchmark: 932.5791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8589, build_cpu_time: 1635.9646, build_memory: 878890085.3333, f_measure: 0.607, kappa: 0.5151, kb_relative_information_score: 147.0021, mean_absolute_error: 0.1226, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.5917, predictive_accuracy: 0.6386, prior_entropy: 2.4897, recall: 0.6386, relative_absolute_error: 0.5564, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.2697, root_relative_squared_error: 0.8137, scimark_benchmark: 941.3226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8598, build_cpu_time: 3807.8432, build_memory: 310538811.8456, f_measure: 0.6131, kappa: 0.5191, kb_relative_information_score: 147.7327, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.6035, predictive_accuracy: 0.6421, prior_entropy: 2.4897, recall: 0.6421, relative_absolute_error: 0.5552, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.2685, root_relative_squared_error: 0.8102, scimark_benchmark: 864.1117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7818, build_cpu_time: 0.0265, build_memory: 1249711829.5298, f_measure: 0.3622, kappa: 0.2821, kb_relative_information_score: 71.7987, mean_absolute_error: 0.187, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.2855, predictive_accuracy: 0.5088, prior_entropy: 2.4897, recall: 0.5088, relative_absolute_error: 0.8486, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3034, root_relative_squared_error: 0.9153, scimark_benchmark: 940.8364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7819, build_cpu_time: 0.012, build_memory: 279843615.3263, f_measure: 0.3622, kappa: 0.2821, kb_relative_information_score: 71.6048, mean_absolute_error: 0.187, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.2855, predictive_accuracy: 0.5088, prior_entropy: 2.4897, recall: 0.5088, relative_absolute_error: 0.8486, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3033, root_relative_squared_error: 0.9152, scimark_benchmark: 941.0301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7834, build_cpu_time: 0.007, build_memory: 44090534.8491, f_measure: 0.3679, kappa: 0.2826, kb_relative_information_score: 71.7712, mean_absolute_error: 0.1865, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.3101, predictive_accuracy: 0.5088, prior_entropy: 2.4897, recall: 0.5088, relative_absolute_error: 0.8465, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3034, root_relative_squared_error: 0.9152, scimark_benchmark: 943.8359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.782, build_cpu_time: 0.0045, build_memory: 1855572092.9684, f_measure: 0.3796, kappa: 0.2933, kb_relative_information_score: 72.0423, mean_absolute_error: 0.1861, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.3238, predictive_accuracy: 0.5158, prior_entropy: 2.4897, recall: 0.5158, relative_absolute_error: 0.8446, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3034, root_relative_squared_error: 0.9153, scimark_benchmark: 938.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7832, build_cpu_time: 0.0028, build_memory: 1727642766.007, f_measure: 0.3846, kappa: 0.2954, kb_relative_information_score: 72.0381, mean_absolute_error: 0.1855, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.3105, predictive_accuracy: 0.5158, prior_entropy: 2.4897, recall: 0.5158, relative_absolute_error: 0.842, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3036, root_relative_squared_error: 0.9161, scimark_benchmark: 942.6348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7832, build_cpu_time: 0.0028, build_memory: 1912524213.8386, f_measure: 0.3846, kappa: 0.2954, kb_relative_information_score: 72.0381, mean_absolute_error: 0.1855, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.3105, predictive_accuracy: 0.5158, prior_entropy: 2.4897, recall: 0.5158, relative_absolute_error: 0.842, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3036, root_relative_squared_error: 0.9161, scimark_benchmark: 944.3501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7832, build_cpu_time: 0.0022, build_memory: 1361976173.2772, f_measure: 0.3846, kappa: 0.2954, kb_relative_information_score: 72.0381, mean_absolute_error: 0.1855, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.3105, predictive_accuracy: 0.5158, prior_entropy: 2.4897, recall: 0.5158, relative_absolute_error: 0.842, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3036, root_relative_squared_error: 0.9161, scimark_benchmark: 944.9147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8124, build_cpu_time: 12.9607, build_memory: 4006271242.5825, f_measure: 0.5213, kappa: 0.4126, kb_relative_information_score: 120.3277, mean_absolute_error: 0.1337, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.5096, predictive_accuracy: 0.5754, prior_entropy: 2.4897, recall: 0.5754, relative_absolute_error: 0.6068, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3073, root_relative_squared_error: 0.9271, scimark_benchmark: 944.3501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8137, build_cpu_time: 23.0077, build_memory: 118123894.3719, f_measure: 0.5163, kappa: 0.4064, kb_relative_information_score: 120.6599, mean_absolute_error: 0.1338, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.5084, predictive_accuracy: 0.5719, prior_entropy: 2.4897, recall: 0.5719, relative_absolute_error: 0.6074, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3054, root_relative_squared_error: 0.9215, scimark_benchmark: 941.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8178, build_cpu_time: 55.8181, build_memory: 62856406.9333, f_measure: 0.5091, kappa: 0.3976, kb_relative_information_score: 120.3265, mean_absolute_error: 0.1343, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.5015, predictive_accuracy: 0.5649, prior_entropy: 2.4897, recall: 0.5649, relative_absolute_error: 0.6097, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3042, root_relative_squared_error: 0.9177, scimark_benchmark: 941.6914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8142, build_cpu_time: 86.9381, build_memory: 108225337.7965, f_measure: 0.5147, kappa: 0.404, kb_relative_information_score: 119.8302, mean_absolute_error: 0.1352, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.506, predictive_accuracy: 0.5684, prior_entropy: 2.4897, recall: 0.5684, relative_absolute_error: 0.6137, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3042, root_relative_squared_error: 0.9179, scimark_benchmark: 937.9492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8166, build_cpu_time: 175.5879, build_memory: 1727783329.4877, f_measure: 0.5111, kappa: 0.4023, kb_relative_information_score: 120.1446, mean_absolute_error: 0.1351, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.5061, predictive_accuracy: 0.5684, prior_entropy: 2.4897, recall: 0.5684, relative_absolute_error: 0.6132, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3039, root_relative_squared_error: 0.917, scimark_benchmark: 940.9202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7726, build_cpu_time: 3.9536, build_memory: 345442499.6211, f_measure: 0.4202, kappa: 0.2683, kb_relative_information_score: 77.7391, mean_absolute_error: 0.1827, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.4237, predictive_accuracy: 0.4912, prior_entropy: 2.4897, recall: 0.4912, relative_absolute_error: 0.8293, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3044, root_relative_squared_error: 0.9185, scimark_benchmark: 807.9355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7494, build_cpu_time: 11.8413, build_memory: 2531655633.2632, f_measure: 0.3604, kappa: 0.2781, kb_relative_information_score: 77.1253, mean_absolute_error: 0.1822, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.2846, predictive_accuracy: 0.5053, prior_entropy: 2.4897, recall: 0.5053, relative_absolute_error: 0.8271, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3017, root_relative_squared_error: 0.9103, scimark_benchmark: 944.4678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7494, build_cpu_time: 0.1409, build_memory: 253270405.7825, f_measure: 0.3604, kappa: 0.2781, kb_relative_information_score: 77.1253, mean_absolute_error: 0.1822, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.2846, predictive_accuracy: 0.5053, prior_entropy: 2.4897, recall: 0.5053, relative_absolute_error: 0.8271, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3017, root_relative_squared_error: 0.9103, scimark_benchmark: 937.829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7533, build_cpu_time: 0.0778, build_memory: 114986399.3825, f_measure: 0.3622, kappa: 0.2821, kb_relative_information_score: 76.6018, mean_absolute_error: 0.1825, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.2855, predictive_accuracy: 0.5088, prior_entropy: 2.4897, recall: 0.5088, relative_absolute_error: 0.8283, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3018, root_relative_squared_error: 0.9105, scimark_benchmark: 926.6916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7482, build_cpu_time: 0.048, build_memory: 1968605411.7053, f_measure: 0.3622, kappa: 0.2821, kb_relative_information_score: 76.3748, mean_absolute_error: 0.1821, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.2855, predictive_accuracy: 0.5088, prior_entropy: 2.4897, recall: 0.5088, relative_absolute_error: 0.8267, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3021, root_relative_squared_error: 0.9116, scimark_benchmark: 931.4402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7424, build_cpu_time: 0.0161, build_memory: 1621050111.0456, f_measure: 0.3622, kappa: 0.2821, kb_relative_information_score: 76.8263, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.2855, predictive_accuracy: 0.5088, prior_entropy: 2.4897, recall: 0.5088, relative_absolute_error: 0.8223, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3022, root_relative_squared_error: 0.9117, scimark_benchmark: 942.1239,

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