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
Task
Supervised Classification on fri_c3_500_10

Supervised Classification on fri_c3_500_10

Task 3799 Supervised Classification fri_c3_500_10 578 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
Issue #Downvotes for this reason By


Metric:

578 Runs

Fetching data
Fetching data
Search runs in more detail run
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9465, build_cpu_time: 0.804, build_memory: 435326029.6, f_measure: 0.882, kappa: 0.7621, kb_relative_information_score: 381.7916, mean_absolute_error: 0.1169, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.882, predictive_accuracy: 0.882, prior_entropy: 0.9945, recall: 0.882, relative_absolute_error: 0.2357, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3223, root_relative_squared_error: 0.6471, scimark_benchmark: 920.7965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9446, build_cpu_time: 0.7212, build_memory: 790514221.6, f_measure: 0.874, kappa: 0.7459, kb_relative_information_score: 375.0944, mean_absolute_error: 0.1233, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.874, predictive_accuracy: 0.874, prior_entropy: 0.9945, recall: 0.874, relative_absolute_error: 0.2486, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3316, root_relative_squared_error: 0.6658, scimark_benchmark: 902.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9455, build_cpu_time: 0.5241, build_memory: 1286317149.6, f_measure: 0.8759, kappa: 0.7495, kb_relative_information_score: 376.1807, mean_absolute_error: 0.1225, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.876, predictive_accuracy: 0.876, prior_entropy: 0.9945, recall: 0.876, relative_absolute_error: 0.247, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3311, root_relative_squared_error: 0.6647, scimark_benchmark: 943.4039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9412, build_cpu_time: 0.3441, build_memory: 1005945062.4, f_measure: 0.8679, kappa: 0.7336, kb_relative_information_score: 364.3353, mean_absolute_error: 0.1345, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.8679, predictive_accuracy: 0.868, prior_entropy: 0.9945, recall: 0.868, relative_absolute_error: 0.2711, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3458, root_relative_squared_error: 0.6943, scimark_benchmark: 917.4547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9416, build_cpu_time: 0.3039, build_memory: 838708137.6, f_measure: 0.8681, kappa: 0.7343, kb_relative_information_score: 363.2253, mean_absolute_error: 0.1362, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.8683, predictive_accuracy: 0.868, prior_entropy: 0.9945, recall: 0.868, relative_absolute_error: 0.2746, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.343, root_relative_squared_error: 0.6888, scimark_benchmark: 902.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9418, build_cpu_time: 0.1215, build_memory: 338537184.8, f_measure: 0.884, kappa: 0.7662, kb_relative_information_score: 384.7472, mean_absolute_error: 0.1132, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.884, predictive_accuracy: 0.884, prior_entropy: 0.9945, recall: 0.884, relative_absolute_error: 0.2282, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3237, root_relative_squared_error: 0.65, scimark_benchmark: 920.7965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9237, build_cpu_time: 0.5073, build_memory: 930134022.4, f_measure: 0.8979, kappa: 0.7942, kb_relative_information_score: 396.3327, mean_absolute_error: 0.1026, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.8979, predictive_accuracy: 0.898, prior_entropy: 0.9945, recall: 0.898, relative_absolute_error: 0.2067, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3175, root_relative_squared_error: 0.6375, scimark_benchmark: 906.6607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9187, build_cpu_time: 1.0615, build_memory: 899414925.6, f_measure: 0.8999, kappa: 0.798, kb_relative_information_score: 398.0493, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.9, predictive_accuracy: 0.9, prior_entropy: 0.9945, recall: 0.9, relative_absolute_error: 0.2033, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3158, root_relative_squared_error: 0.6341, scimark_benchmark: 934.8107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9124, build_cpu_time: 1.947, build_memory: 2633164458.4, f_measure: 0.9079, kappa: 0.8143, kb_relative_information_score: 406.8325, mean_absolute_error: 0.0921, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.908, predictive_accuracy: 0.908, prior_entropy: 0.9945, recall: 0.908, relative_absolute_error: 0.1856, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3017, root_relative_squared_error: 0.6058, scimark_benchmark: 931.9671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6837, build_cpu_time: 0.0515, build_memory: 300003841.6, f_measure: 0.6861, kappa: 0.3673, kb_relative_information_score: 181.8715, mean_absolute_error: 0.3148, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.6861, predictive_accuracy: 0.686, prior_entropy: 0.9945, recall: 0.686, relative_absolute_error: 0.6345, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.5591, root_relative_squared_error: 1.1226, scimark_benchmark: 937.6343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6837, build_cpu_time: 0.0268, build_memory: 1282647646.4, f_measure: 0.6861, kappa: 0.3673, kb_relative_information_score: 181.8715, mean_absolute_error: 0.3148, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.6861, predictive_accuracy: 0.686, prior_entropy: 0.9945, recall: 0.686, relative_absolute_error: 0.6345, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.5591, root_relative_squared_error: 1.1226, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6837, build_cpu_time: 0.025, build_memory: 265367323.2, f_measure: 0.6861, kappa: 0.3673, kb_relative_information_score: 181.8715, mean_absolute_error: 0.3148, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.6861, predictive_accuracy: 0.686, prior_entropy: 0.9945, recall: 0.686, relative_absolute_error: 0.6345, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.5591, root_relative_squared_error: 1.1226, scimark_benchmark: 945.5885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9641, build_cpu_time: 0.2917, build_memory: 60617140, f_measure: 0.8959, kappa: 0.7901, kb_relative_information_score: 367.483, mean_absolute_error: 0.1381, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.896, predictive_accuracy: 0.896, prior_entropy: 0.9945, recall: 0.896, relative_absolute_error: 0.2783, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2718, root_relative_squared_error: 0.5457, scimark_benchmark: 926.7725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, build_cpu_time: 2.3489, build_memory: 959216701.6, f_measure: 0.8959, kappa: 0.7901, kb_relative_information_score: 395.2301, mean_absolute_error: 0.1036, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.896, predictive_accuracy: 0.896, prior_entropy: 0.9945, recall: 0.896, relative_absolute_error: 0.2088, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3183, root_relative_squared_error: 0.6391, scimark_benchmark: 942.6219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9369, build_cpu_time: 1.3516, build_memory: 840408255.2, f_measure: 0.902, kappa: 0.8025, kb_relative_information_score: 400.7378, mean_absolute_error: 0.0982, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.902, predictive_accuracy: 0.902, prior_entropy: 0.9945, recall: 0.902, relative_absolute_error: 0.1979, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3057, root_relative_squared_error: 0.6138, scimark_benchmark: 906.4221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, build_cpu_time: 0.6445, build_memory: 210626527.2, f_measure: 0.8901, kappa: 0.7787, kb_relative_information_score: 386.0283, mean_absolute_error: 0.1129, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.8904, predictive_accuracy: 0.89, prior_entropy: 0.9945, recall: 0.89, relative_absolute_error: 0.2275, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3228, root_relative_squared_error: 0.648, scimark_benchmark: 940.0851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9408, build_cpu_time: 0.2956, build_memory: 181610622.4, f_measure: 0.8701, kappa: 0.7382, kb_relative_information_score: 365.6612, mean_absolute_error: 0.1331, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.8702, predictive_accuracy: 0.87, prior_entropy: 0.9945, recall: 0.87, relative_absolute_error: 0.2684, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3403, root_relative_squared_error: 0.6833, scimark_benchmark: 938.8854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6543, build_cpu_time: 0.4009, build_memory: 1011183239.2, f_measure: 0.6267, kappa: 0.2517, kb_relative_information_score: 61.2397, mean_absolute_error: 0.4434, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.6297, predictive_accuracy: 0.626, prior_entropy: 0.9945, recall: 0.626, relative_absolute_error: 0.8938, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4888, root_relative_squared_error: 0.9813, scimark_benchmark: 892.0716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9593, build_cpu_time: 0.344, build_memory: 125367459.2, f_measure: 0.8878, kappa: 0.7736, kb_relative_information_score: 381.4283, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.8881, predictive_accuracy: 0.888, prior_entropy: 0.9945, recall: 0.888, relative_absolute_error: 0.2384, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3016, root_relative_squared_error: 0.6055, scimark_benchmark: 902.0906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, build_cpu_time: 0.0023, build_memory: 1169603644, f_measure: 0.8434, kappa: 0.6838, kb_relative_information_score: 302.2492, mean_absolute_error: 0.2068, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.8445, predictive_accuracy: 0.844, prior_entropy: 0.9945, recall: 0.844, relative_absolute_error: 0.4168, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3219, root_relative_squared_error: 0.6462, scimark_benchmark: 942.9279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9662, build_cpu_time: 0.2065, build_memory: 35096267.2, f_measure: 0.9059, kappa: 0.8101, kb_relative_information_score: 321.1308, mean_absolute_error: 0.196, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.9061, predictive_accuracy: 0.906, prior_entropy: 0.9945, recall: 0.906, relative_absolute_error: 0.395, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2769, root_relative_squared_error: 0.5559, scimark_benchmark: 941.6217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8657, build_cpu_time: 0.0241, build_memory: 320093413.6, f_measure: 0.8516, kappa: 0.7004, kb_relative_information_score: 310.4863, mean_absolute_error: 0.2004, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.8522, predictive_accuracy: 0.852, prior_entropy: 0.9945, recall: 0.852, relative_absolute_error: 0.404, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3587, root_relative_squared_error: 0.7202, scimark_benchmark: 920.2722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6837, build_cpu_time: 0.0003, build_memory: 311201857.6, f_measure: 0.6861, kappa: 0.3673, kb_relative_information_score: 181.8715, mean_absolute_error: 0.3148, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.6861, predictive_accuracy: 0.686, prior_entropy: 0.9945, recall: 0.686, relative_absolute_error: 0.6345, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.5591, root_relative_squared_error: 1.1226, scimark_benchmark: 906.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.1156, build_memory: 781160577.6, f_measure: 0.3833, kb_relative_information_score: 38.8824, mean_absolute_error: 0.456, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.2959, predictive_accuracy: 0.544, prior_entropy: 0.9945, recall: 0.544, relative_absolute_error: 0.9191, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.6753, root_relative_squared_error: 1.3558, scimark_benchmark: 940.4464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.626, build_cpu_time: 0.016, build_memory: 814796210.4, f_measure: 0.6308, kappa: 0.2546, kb_relative_information_score: 129.888, mean_absolute_error: 0.366, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.632, predictive_accuracy: 0.634, prior_entropy: 0.9945, recall: 0.634, relative_absolute_error: 0.7377, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.605, root_relative_squared_error: 1.2147, scimark_benchmark: 940.4464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.623, build_cpu_time: 0.0275, build_memory: 1438824952, f_measure: 0.6277, kappa: 0.2481, kb_relative_information_score: 125.8433, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.628, predictive_accuracy: 0.63, prior_entropy: 0.9945, recall: 0.63, relative_absolute_error: 0.7458, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.6083, root_relative_squared_error: 1.2213, scimark_benchmark: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6922, build_cpu_time: 0.0103, build_memory: 27075559.2, f_measure: 0.6409, kappa: 0.2751, kb_relative_information_score: 76.7644, mean_absolute_error: 0.4283, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.6407, predictive_accuracy: 0.642, prior_entropy: 0.9945, recall: 0.642, relative_absolute_error: 0.8632, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4705, root_relative_squared_error: 0.9446, scimark_benchmark: 946.8618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.947, build_cpu_time: 0.0438, build_memory: 491192722.4, f_measure: 0.8657, kappa: 0.729, kb_relative_information_score: 307.506, mean_absolute_error: 0.2049, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.8661, predictive_accuracy: 0.866, prior_entropy: 0.9945, recall: 0.866, relative_absolute_error: 0.4129, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3065, root_relative_squared_error: 0.6153, scimark_benchmark: 943.0033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.947, build_cpu_time: 0.0509, build_memory: 887590718.4, f_measure: 0.8657, kappa: 0.729, kb_relative_information_score: 307.506, mean_absolute_error: 0.2049, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.8661, predictive_accuracy: 0.866, prior_entropy: 0.9945, recall: 0.866, relative_absolute_error: 0.4129, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3065, root_relative_squared_error: 0.6153, scimark_benchmark: 934.4754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.87, build_cpu_time: 0.0297, build_memory: 250063734.4, f_measure: 0.808, kappa: 0.613, kb_relative_information_score: 196.1466, mean_absolute_error: 0.3207, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.808, predictive_accuracy: 0.808, prior_entropy: 0.9945, recall: 0.808, relative_absolute_error: 0.6463, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3829, root_relative_squared_error: 0.7688, scimark_benchmark: 933.4176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.87, build_cpu_time: 0.0319, build_memory: 57804244, f_measure: 0.808, kappa: 0.613, kb_relative_information_score: 196.1466, mean_absolute_error: 0.3207, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.808, predictive_accuracy: 0.808, prior_entropy: 0.9945, recall: 0.808, relative_absolute_error: 0.6463, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3829, root_relative_squared_error: 0.7688, scimark_benchmark: 945.4151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.87, build_cpu_time: 0.0279, build_memory: 438435325.6, f_measure: 0.808, kappa: 0.613, kb_relative_information_score: 196.1466, mean_absolute_error: 0.3207, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.808, predictive_accuracy: 0.808, prior_entropy: 0.9945, recall: 0.808, relative_absolute_error: 0.6463, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3829, root_relative_squared_error: 0.7688, scimark_benchmark: 933.0871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7199, build_cpu_time: 0.0025, build_memory: 320185308.8, f_measure: 0.7204, kappa: 0.438, kb_relative_information_score: 216.849, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.7217, predictive_accuracy: 0.72, prior_entropy: 0.9945, recall: 0.72, relative_absolute_error: 0.5644, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.5292, root_relative_squared_error: 1.0624, scimark_benchmark: 927.6633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6726, build_cpu_time: 0.0016, build_memory: 665142732, f_measure: 0.62, kappa: 0.2341, kb_relative_information_score: 74.4612, mean_absolute_error: 0.4297, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.62, predictive_accuracy: 0.62, prior_entropy: 0.9945, recall: 0.62, relative_absolute_error: 0.8662, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4824, root_relative_squared_error: 0.9686, scimark_benchmark: 945.6567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6726, build_cpu_time: 0.0015, build_memory: 1372930640, f_measure: 0.62, kappa: 0.2341, kb_relative_information_score: 74.4612, mean_absolute_error: 0.4297, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.62, predictive_accuracy: 0.62, prior_entropy: 0.9945, recall: 0.62, relative_absolute_error: 0.8662, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4824, root_relative_squared_error: 0.9686, scimark_benchmark: 922.2602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6876, build_cpu_time: 0.3627, build_memory: 1313982549.6, f_measure: 0.6468, kappa: 0.287, kb_relative_information_score: 123.6289, mean_absolute_error: 0.3738, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.6467, predictive_accuracy: 0.648, prior_entropy: 0.9945, recall: 0.648, relative_absolute_error: 0.7534, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.5271, root_relative_squared_error: 1.0583, scimark_benchmark: 941.7913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6876, build_cpu_time: 0.3095, build_memory: 104006425.6, f_measure: 0.6468, kappa: 0.287, kb_relative_information_score: 123.6289, mean_absolute_error: 0.3738, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.6467, predictive_accuracy: 0.648, prior_entropy: 0.9945, recall: 0.648, relative_absolute_error: 0.7534, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.5271, root_relative_squared_error: 1.0583, scimark_benchmark: 916.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6743, build_cpu_time: 0.1379, build_memory: 553280611.2, f_measure: 0.6346, kappa: 0.2621, kb_relative_information_score: 127.6385, mean_absolute_error: 0.3696, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.6345, predictive_accuracy: 0.636, prior_entropy: 0.9945, recall: 0.636, relative_absolute_error: 0.7449, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.5461, root_relative_squared_error: 1.0965, scimark_benchmark: 926.0021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6743, build_cpu_time: 0.1381, build_memory: 1212064418.4, f_measure: 0.6346, kappa: 0.2621, kb_relative_information_score: 127.6385, mean_absolute_error: 0.3696, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.6345, predictive_accuracy: 0.636, prior_entropy: 0.9945, recall: 0.636, relative_absolute_error: 0.7449, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.5461, root_relative_squared_error: 1.0965, scimark_benchmark: 929.8923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6802, build_cpu_time: 0.2782, build_memory: 486281034.4, f_measure: 0.647, kappa: 0.2872, kb_relative_information_score: 127.8585, mean_absolute_error: 0.3699, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.6484, predictive_accuracy: 0.65, prior_entropy: 0.9945, recall: 0.65, relative_absolute_error: 0.7456, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.5442, root_relative_squared_error: 1.0927, scimark_benchmark: 928.8874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6802, build_cpu_time: 0.2782, build_memory: 401145774.4, f_measure: 0.647, kappa: 0.2872, kb_relative_information_score: 127.8585, mean_absolute_error: 0.3699, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.6484, predictive_accuracy: 0.65, prior_entropy: 0.9945, recall: 0.65, relative_absolute_error: 0.7456, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.5442, root_relative_squared_error: 1.0927, scimark_benchmark: 937.2747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6827, build_cpu_time: 0.529, build_memory: 609462844, f_measure: 0.6442, kappa: 0.2818, kb_relative_information_score: 128.0627, mean_absolute_error: 0.3699, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.6464, predictive_accuracy: 0.648, prior_entropy: 0.9945, recall: 0.648, relative_absolute_error: 0.7456, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.5423, root_relative_squared_error: 1.0887, scimark_benchmark: 916.7338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6827, build_cpu_time: 0.546, build_memory: 792513752.8, f_measure: 0.6442, kappa: 0.2818, kb_relative_information_score: 128.0627, mean_absolute_error: 0.3699, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.6464, predictive_accuracy: 0.648, prior_entropy: 0.9945, recall: 0.648, relative_absolute_error: 0.7456, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.5423, root_relative_squared_error: 1.0887, scimark_benchmark: 942.0094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6827, build_cpu_time: 0.5356, build_memory: 656812632, f_measure: 0.6442, kappa: 0.2818, kb_relative_information_score: 128.0627, mean_absolute_error: 0.3699, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.6464, predictive_accuracy: 0.648, prior_entropy: 0.9945, recall: 0.648, relative_absolute_error: 0.7456, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.5423, root_relative_squared_error: 1.0887, scimark_benchmark: 941.6933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6827, build_cpu_time: 0.4843, build_memory: 503015245.6, f_measure: 0.6442, kappa: 0.2818, kb_relative_information_score: 128.0627, mean_absolute_error: 0.3699, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.6464, predictive_accuracy: 0.648, prior_entropy: 0.9945, recall: 0.648, relative_absolute_error: 0.7456, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.5423, root_relative_squared_error: 1.0887, scimark_benchmark: 946.5567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.685, build_cpu_time: 1.0267, build_memory: 318213928, f_measure: 0.6398, kappa: 0.2732, kb_relative_information_score: 128.8184, mean_absolute_error: 0.3693, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.6424, predictive_accuracy: 0.644, prior_entropy: 0.9945, recall: 0.644, relative_absolute_error: 0.7443, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.5418, root_relative_squared_error: 1.0879, scimark_benchmark: 946.0329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9547, build_cpu_time: 0.4144, build_memory: 737058975.2, f_measure: 0.88, kappa: 0.758, kb_relative_information_score: 311.1857, mean_absolute_error: 0.2038, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.8799, predictive_accuracy: 0.88, prior_entropy: 0.9945, recall: 0.88, relative_absolute_error: 0.4108, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2944, root_relative_squared_error: 0.591, scimark_benchmark: 933.4451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9547, build_cpu_time: 0.3485, build_memory: 85348427.2, f_measure: 0.88, kappa: 0.758, kb_relative_information_score: 311.1857, mean_absolute_error: 0.2038, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.8799, predictive_accuracy: 0.88, prior_entropy: 0.9945, recall: 0.88, relative_absolute_error: 0.4108, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2944, root_relative_squared_error: 0.591, scimark_benchmark: 943.2048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9547, build_cpu_time: 0.3997, build_memory: 604253420, f_measure: 0.88, kappa: 0.758, kb_relative_information_score: 311.1857, mean_absolute_error: 0.2038, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.8799, predictive_accuracy: 0.88, prior_entropy: 0.9945, recall: 0.88, relative_absolute_error: 0.4108, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2944, root_relative_squared_error: 0.591, scimark_benchmark: 946.7087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, build_cpu_time: 0.1798, build_memory: 98114828.8, f_measure: 0.876, kappa: 0.7499, kb_relative_information_score: 312.1341, mean_absolute_error: 0.2023, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.8759, predictive_accuracy: 0.876, prior_entropy: 0.9945, recall: 0.876, relative_absolute_error: 0.4078, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2946, root_relative_squared_error: 0.5916, scimark_benchmark: 944.9156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, build_cpu_time: 0.1922, build_memory: 951978488, f_measure: 0.876, kappa: 0.7499, kb_relative_information_score: 312.1341, mean_absolute_error: 0.2023, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.8759, predictive_accuracy: 0.876, prior_entropy: 0.9945, recall: 0.876, relative_absolute_error: 0.4078, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2946, root_relative_squared_error: 0.5916, scimark_benchmark: 949.2096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, build_cpu_time: 0.2151, build_memory: 962767025.6, f_measure: 0.876, kappa: 0.7499, kb_relative_information_score: 312.1341, mean_absolute_error: 0.2023, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.8759, predictive_accuracy: 0.876, prior_entropy: 0.9945, recall: 0.876, relative_absolute_error: 0.4078, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2946, root_relative_squared_error: 0.5916, scimark_benchmark: 939.8999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9552, build_cpu_time: 0.1292, build_memory: 1576650809.6, f_measure: 0.8739, kappa: 0.7458, kb_relative_information_score: 311.9897, mean_absolute_error: 0.202, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.8739, predictive_accuracy: 0.874, prior_entropy: 0.9945, recall: 0.874, relative_absolute_error: 0.4072, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2947, root_relative_squared_error: 0.5917, scimark_benchmark: 919.2952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9531, build_cpu_time: 0.0599, build_memory: 1303764262.4, f_measure: 0.868, kappa: 0.7341, kb_relative_information_score: 309.6977, mean_absolute_error: 0.2039, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.8681, predictive_accuracy: 0.868, prior_entropy: 0.9945, recall: 0.868, relative_absolute_error: 0.4109, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.298, root_relative_squared_error: 0.5983, scimark_benchmark: 947.4258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9531, build_cpu_time: 0.0651, build_memory: 2241118051.2, f_measure: 0.868, kappa: 0.7341, kb_relative_information_score: 309.6977, mean_absolute_error: 0.2039, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.8681, predictive_accuracy: 0.868, prior_entropy: 0.9945, recall: 0.868, relative_absolute_error: 0.4109, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.298, root_relative_squared_error: 0.5983, scimark_benchmark: 941.5201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9638, build_cpu_time: 0.1748, build_memory: 1051253023.2, f_measure: 0.9059, kappa: 0.8102, kb_relative_information_score: 316.6418, mean_absolute_error: 0.2011, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.906, predictive_accuracy: 0.906, prior_entropy: 0.9945, recall: 0.906, relative_absolute_error: 0.4052, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2801, root_relative_squared_error: 0.5624, scimark_benchmark: 941.0866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9673, build_cpu_time: 9.5081, build_memory: 1443847676, f_measure: 0.9037, kappa: 0.8055, kb_relative_information_score: 303.7751, mean_absolute_error: 0.2158, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.9048, predictive_accuracy: 0.904, prior_entropy: 0.9945, recall: 0.904, relative_absolute_error: 0.4349, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2843, root_relative_squared_error: 0.5709, scimark_benchmark: 890.0967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9673, build_cpu_time: 4.7103, build_memory: 1976150924, f_measure: 0.9017, kappa: 0.8016, kb_relative_information_score: 303.8024, mean_absolute_error: 0.2156, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.9027, predictive_accuracy: 0.902, prior_entropy: 0.9945, recall: 0.902, relative_absolute_error: 0.4346, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2843, root_relative_squared_error: 0.5708, scimark_benchmark: 922.9897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, build_cpu_time: 1.2197, build_memory: 1685796180, f_measure: 0.9018, kappa: 0.8018, kb_relative_information_score: 301.5989, mean_absolute_error: 0.2175, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.9022, predictive_accuracy: 0.902, prior_entropy: 0.9945, recall: 0.902, relative_absolute_error: 0.4384, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.287, root_relative_squared_error: 0.5763, scimark_benchmark: 902.1764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8568, build_cpu_time: 0.0148, build_memory: 1021993068, f_measure: 0.7822, kappa: 0.5663, kb_relative_information_score: 235.0599, mean_absolute_error: 0.27, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.791, predictive_accuracy: 0.782, prior_entropy: 0.9945, recall: 0.782, relative_absolute_error: 0.5442, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3932, root_relative_squared_error: 0.7894, scimark_benchmark: 941.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8568, build_cpu_time: 0.0207, build_memory: 1053579502.4, f_measure: 0.7822, kappa: 0.5663, kb_relative_information_score: 235.0599, mean_absolute_error: 0.27, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.791, predictive_accuracy: 0.782, prior_entropy: 0.9945, recall: 0.782, relative_absolute_error: 0.5442, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3932, root_relative_squared_error: 0.7894, scimark_benchmark: 910.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8568, build_cpu_time: 0.0131, build_memory: 568790346.4, f_measure: 0.7822, kappa: 0.5663, kb_relative_information_score: 235.0599, mean_absolute_error: 0.27, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.791, predictive_accuracy: 0.782, prior_entropy: 0.9945, recall: 0.782, relative_absolute_error: 0.5442, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3932, root_relative_squared_error: 0.7894, scimark_benchmark: 942.4281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8702, build_cpu_time: 0.0395, build_memory: 328627216, f_measure: 0.7864, kappa: 0.5725, kb_relative_information_score: 234.1888, mean_absolute_error: 0.2723, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.7907, predictive_accuracy: 0.786, prior_entropy: 0.9945, recall: 0.786, relative_absolute_error: 0.5488, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.383, root_relative_squared_error: 0.7689, scimark_benchmark: 910.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8722, build_cpu_time: 0.053, build_memory: 1099027739.2, f_measure: 0.7884, kappa: 0.5751, kb_relative_information_score: 230.5834, mean_absolute_error: 0.2766, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.7904, predictive_accuracy: 0.788, prior_entropy: 0.9945, recall: 0.788, relative_absolute_error: 0.5575, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.382, root_relative_squared_error: 0.7669, scimark_benchmark: 910.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8762, build_cpu_time: 0.1344, build_memory: 408397662.4, f_measure: 0.8003, kappa: 0.5986, kb_relative_information_score: 234.3164, mean_absolute_error: 0.273, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.8015, predictive_accuracy: 0.8, prior_entropy: 0.9945, recall: 0.8, relative_absolute_error: 0.5503, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.7612, scimark_benchmark: 940.6012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8762, build_cpu_time: 0.1375, build_memory: 363806992.8, f_measure: 0.8003, kappa: 0.5986, kb_relative_information_score: 234.3164, mean_absolute_error: 0.273, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.8015, predictive_accuracy: 0.8, prior_entropy: 0.9945, recall: 0.8, relative_absolute_error: 0.5503, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.7612, scimark_benchmark: 943.2191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, build_cpu_time: 0.3046, build_memory: 539608675.2, f_measure: 0.8759, kappa: 0.7497, kb_relative_information_score: 260.5406, mean_absolute_error: 0.2607, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.8759, predictive_accuracy: 0.876, prior_entropy: 0.9945, recall: 0.876, relative_absolute_error: 0.5255, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.317, root_relative_squared_error: 0.6365, scimark_benchmark: 942.3187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, build_cpu_time: 0.3226, build_memory: 363190187.2, f_measure: 0.8759, kappa: 0.7497, kb_relative_information_score: 260.5406, mean_absolute_error: 0.2607, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.8759, predictive_accuracy: 0.876, prior_entropy: 0.9945, recall: 0.876, relative_absolute_error: 0.5255, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.317, root_relative_squared_error: 0.6365, scimark_benchmark: 910.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, build_cpu_time: 0.2289, build_memory: 766584016, f_measure: 0.8759, kappa: 0.7497, kb_relative_information_score: 260.5406, mean_absolute_error: 0.2607, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.8759, predictive_accuracy: 0.876, prior_entropy: 0.9945, recall: 0.876, relative_absolute_error: 0.5255, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.317, root_relative_squared_error: 0.6365, scimark_benchmark: 939.4327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6728, build_cpu_time: 0.2206, build_memory: 2124254582.4, f_measure: 0.6179, kappa: 0.2298, kb_relative_information_score: 74.2917, mean_absolute_error: 0.4299, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.6179, predictive_accuracy: 0.618, prior_entropy: 0.9945, recall: 0.618, relative_absolute_error: 0.8665, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4814, root_relative_squared_error: 0.9666, scimark_benchmark: 932.5791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, build_cpu_time: 55.4935, build_memory: 999438232.8, f_measure: 0.9038, kappa: 0.8058, kb_relative_information_score: 363.2292, mean_absolute_error: 0.1472, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.9043, predictive_accuracy: 0.904, prior_entropy: 0.9945, recall: 0.904, relative_absolute_error: 0.2968, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2516, root_relative_squared_error: 0.5051, scimark_benchmark: 941.3226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, build_cpu_time: 110.7681, build_memory: 634940154.4, f_measure: 0.9019, kappa: 0.802, kb_relative_information_score: 363.5489, mean_absolute_error: 0.147, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.9021, predictive_accuracy: 0.902, prior_entropy: 0.9945, recall: 0.902, relative_absolute_error: 0.2963, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2517, root_relative_squared_error: 0.5054, scimark_benchmark: 942.4122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8076, build_cpu_time: 0.0324, build_memory: 155901944.8, f_measure: 0.7024, kappa: 0.4013, kb_relative_information_score: 111.5535, mean_absolute_error: 0.4016, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.7032, predictive_accuracy: 0.702, prior_entropy: 0.9945, recall: 0.702, relative_absolute_error: 0.8095, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4435, root_relative_squared_error: 0.8905, scimark_benchmark: 1212.2248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6623, build_cpu_time: 0.4079, build_memory: 1189604696.8, f_measure: 0.6175, kappa: 0.2275, kb_relative_information_score: 68.9806, mean_absolute_error: 0.4352, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.6178, predictive_accuracy: 0.62, prior_entropy: 0.9945, recall: 0.62, relative_absolute_error: 0.8772, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4854, root_relative_squared_error: 0.9746, scimark_benchmark: 943.0515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8075, build_cpu_time: 0.015, build_memory: 799640946.4, f_measure: 0.7003, kappa: 0.397, kb_relative_information_score: 111.1623, mean_absolute_error: 0.402, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.7011, predictive_accuracy: 0.7, prior_entropy: 0.9945, recall: 0.7, relative_absolute_error: 0.8102, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4434, root_relative_squared_error: 0.8903, scimark_benchmark: 928.9619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8075, build_cpu_time: 0.0159, build_memory: 279277950.4, f_measure: 0.7003, kappa: 0.397, kb_relative_information_score: 111.1623, mean_absolute_error: 0.402, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.7011, predictive_accuracy: 0.7, prior_entropy: 0.9945, recall: 0.7, relative_absolute_error: 0.8102, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4434, root_relative_squared_error: 0.8903, scimark_benchmark: 941.0301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8052, build_cpu_time: 0.0075, build_memory: 30755124, f_measure: 0.6984, kappa: 0.3937, kb_relative_information_score: 111.1352, mean_absolute_error: 0.402, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.6996, predictive_accuracy: 0.698, prior_entropy: 0.9945, recall: 0.698, relative_absolute_error: 0.8102, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4438, root_relative_squared_error: 0.891, scimark_benchmark: 943.8359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8017, build_cpu_time: 0.0044, build_memory: 41793648, f_measure: 0.6984, kappa: 0.3937, kb_relative_information_score: 110.7318, mean_absolute_error: 0.4022, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.6996, predictive_accuracy: 0.698, prior_entropy: 0.9945, recall: 0.698, relative_absolute_error: 0.8107, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4446, root_relative_squared_error: 0.8926, scimark_benchmark: 941.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7957, build_cpu_time: 0.0031, build_memory: 1745886212.8, f_measure: 0.7004, kappa: 0.3975, kb_relative_information_score: 111.0124, mean_absolute_error: 0.4018, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.7014, predictive_accuracy: 0.7, prior_entropy: 0.9945, recall: 0.7, relative_absolute_error: 0.8099, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4467, root_relative_squared_error: 0.8968, scimark_benchmark: 942.6348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7957, build_cpu_time: 0.0023, build_memory: 1909616256.8, f_measure: 0.7004, kappa: 0.3975, kb_relative_information_score: 111.0124, mean_absolute_error: 0.4018, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.7014, predictive_accuracy: 0.7, prior_entropy: 0.9945, recall: 0.7, relative_absolute_error: 0.8099, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4467, root_relative_squared_error: 0.8968, scimark_benchmark: 944.3501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9609, build_cpu_time: 1.9543, build_memory: 3364096451.2, f_measure: 0.8781, kappa: 0.7544, kb_relative_information_score: 343.0582, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.8782, predictive_accuracy: 0.878, prior_entropy: 0.9945, recall: 0.878, relative_absolute_error: 0.3334, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2799, root_relative_squared_error: 0.562, scimark_benchmark: 944.3501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9676, build_cpu_time: 3.6471, build_memory: 830378360, f_measure: 0.8979, kappa: 0.7942, kb_relative_information_score: 351.3602, mean_absolute_error: 0.1586, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.8979, predictive_accuracy: 0.898, prior_entropy: 0.9945, recall: 0.898, relative_absolute_error: 0.3198, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.268, root_relative_squared_error: 0.5381, scimark_benchmark: 939.0518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9702, build_cpu_time: 7.8144, build_memory: 49457468, f_measure: 0.9019, kappa: 0.8023, kb_relative_information_score: 355.5167, mean_absolute_error: 0.1543, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.902, predictive_accuracy: 0.902, prior_entropy: 0.9945, recall: 0.902, relative_absolute_error: 0.3111, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2629, root_relative_squared_error: 0.5278, scimark_benchmark: 941.6914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9707, build_cpu_time: 15.8787, build_memory: 73143524, f_measure: 0.9079, kappa: 0.8142, kb_relative_information_score: 356.7786, mean_absolute_error: 0.1537, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.908, predictive_accuracy: 0.908, prior_entropy: 0.9945, recall: 0.908, relative_absolute_error: 0.3098, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2609, root_relative_squared_error: 0.5239, scimark_benchmark: 942.4935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, build_cpu_time: 29.7662, build_memory: 1513039651.2, f_measure: 0.9099, kappa: 0.8181, kb_relative_information_score: 356.4469, mean_absolute_error: 0.1546, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.9101, predictive_accuracy: 0.91, prior_entropy: 0.9945, recall: 0.91, relative_absolute_error: 0.3116, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2604, root_relative_squared_error: 0.5228, scimark_benchmark: 940.9202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, build_cpu_time: 4.7604, build_memory: 1174321128.8, f_measure: 0.8921, kappa: 0.7829, kb_relative_information_score: 391.5178, mean_absolute_error: 0.1073, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.8927, predictive_accuracy: 0.892, prior_entropy: 0.9945, recall: 0.892, relative_absolute_error: 0.2162, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3175, root_relative_squared_error: 0.6374, scimark_benchmark: 935.2997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9379, build_cpu_time: 1.8414, build_memory: 1218221012, f_measure: 0.902, kappa: 0.8025, kb_relative_information_score: 399.2802, mean_absolute_error: 0.0997, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.902, predictive_accuracy: 0.902, prior_entropy: 0.9945, recall: 0.902, relative_absolute_error: 0.201, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3104, root_relative_squared_error: 0.6233, scimark_benchmark: 941.2105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9432, build_cpu_time: 1.0387, build_memory: 938166893.6, f_measure: 0.8959, kappa: 0.7901, kb_relative_information_score: 393.5542, mean_absolute_error: 0.1051, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.896, predictive_accuracy: 0.896, prior_entropy: 0.9945, recall: 0.896, relative_absolute_error: 0.2118, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3158, root_relative_squared_error: 0.634, scimark_benchmark: 942.4851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9432, build_cpu_time: 1.0212, build_memory: 814763295.2, f_measure: 0.8959, kappa: 0.7901, kb_relative_information_score: 393.5542, mean_absolute_error: 0.1051, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.896, predictive_accuracy: 0.896, prior_entropy: 0.9945, recall: 0.896, relative_absolute_error: 0.2118, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3158, root_relative_squared_error: 0.634, scimark_benchmark: 938.0657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9552, build_cpu_time: 0.5298, build_memory: 937103520, f_measure: 0.8876, kappa: 0.7731, kb_relative_information_score: 388.7369, mean_absolute_error: 0.1098, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.8887, predictive_accuracy: 0.888, prior_entropy: 0.9945, recall: 0.888, relative_absolute_error: 0.2213, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3171, root_relative_squared_error: 0.6367, scimark_benchmark: 945.6653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9552, build_cpu_time: 0.5431, build_memory: 690723808, f_measure: 0.8876, kappa: 0.7731, kb_relative_information_score: 388.7369, mean_absolute_error: 0.1098, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.8887, predictive_accuracy: 0.888, prior_entropy: 0.9945, recall: 0.888, relative_absolute_error: 0.2213, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3171, root_relative_squared_error: 0.6367, scimark_benchmark: 939.9671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9552, build_cpu_time: 0.5515, build_memory: 610067003.2, f_measure: 0.8876, kappa: 0.7731, kb_relative_information_score: 388.7369, mean_absolute_error: 0.1098, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.8887, predictive_accuracy: 0.888, prior_entropy: 0.9945, recall: 0.888, relative_absolute_error: 0.2213, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3171, root_relative_squared_error: 0.6367, scimark_benchmark: 943.1654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9552, build_cpu_time: 0.5026, build_memory: 872613128, f_measure: 0.8876, kappa: 0.7731, kb_relative_information_score: 388.7369, mean_absolute_error: 0.1098, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.8887, predictive_accuracy: 0.888, prior_entropy: 0.9945, recall: 0.888, relative_absolute_error: 0.2213, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3171, root_relative_squared_error: 0.6367, scimark_benchmark: 941.5865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9467, build_cpu_time: 0.2487, build_memory: 60840408.8, f_measure: 0.8898, kappa: 0.7777, kb_relative_information_score: 384.9298, mean_absolute_error: 0.1142, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.89, predictive_accuracy: 0.89, prior_entropy: 0.9945, recall: 0.89, relative_absolute_error: 0.2302, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3216, root_relative_squared_error: 0.6457, scimark_benchmark: 945.0342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9617, build_cpu_time: 4.295, build_memory: 195193785.6, f_measure: 0.8894, kappa: 0.7766, kb_relative_information_score: 328.0927, mean_absolute_error: 0.1853, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.892, predictive_accuracy: 0.89, prior_entropy: 0.9945, recall: 0.89, relative_absolute_error: 0.3734, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2829, root_relative_squared_error: 0.5681, scimark_benchmark: 849.5927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9614, build_cpu_time: 0.763, build_memory: 611121202.4, f_measure: 0.8938, kappa: 0.7857, kb_relative_information_score: 340.0092, mean_absolute_error: 0.1709, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.8942, predictive_accuracy: 0.894, prior_entropy: 0.9945, recall: 0.894, relative_absolute_error: 0.3444, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2787, root_relative_squared_error: 0.5597, scimark_benchmark: 938.9591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9603, build_cpu_time: 0.4553, build_memory: 1356495880.8, f_measure: 0.8939, kappa: 0.786, kb_relative_information_score: 338.9189, mean_absolute_error: 0.1716, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.894, predictive_accuracy: 0.894, prior_entropy: 0.9945, recall: 0.894, relative_absolute_error: 0.3459, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2808, root_relative_squared_error: 0.5637, scimark_benchmark: 940.7248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9585, build_cpu_time: 0.2576, build_memory: 2419888921.6, f_measure: 0.8879, kappa: 0.7739, kb_relative_information_score: 338.4573, mean_absolute_error: 0.1716, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.8879, predictive_accuracy: 0.888, prior_entropy: 0.9945, recall: 0.888, relative_absolute_error: 0.3458, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2833, root_relative_squared_error: 0.5689, scimark_benchmark: 929.9026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.954, build_cpu_time: 0.1183, build_memory: 134288994.4, f_measure: 0.8879, kappa: 0.7738, kb_relative_information_score: 336.8248, mean_absolute_error: 0.1728, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.888, predictive_accuracy: 0.888, prior_entropy: 0.9945, recall: 0.888, relative_absolute_error: 0.3483, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2881, root_relative_squared_error: 0.5785, scimark_benchmark: 927.2529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.954, build_cpu_time: 0.0976, build_memory: 121589368, f_measure: 0.8879, kappa: 0.7738, kb_relative_information_score: 336.8248, mean_absolute_error: 0.1728, mean_prior_absolute_error: 0.4961, number_of_instances: 500, precision: 0.888, predictive_accuracy: 0.888, prior_entropy: 0.9945, recall: 0.888, relative_absolute_error: 0.3483, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2881, root_relative_squared_error: 0.5785, scimark_benchmark: 919.0063,

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