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 mfeat-pixel

Supervised Classification on mfeat-pixel

Task 250 Supervised Classification mfeat-pixel 305 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

305 Runs

Fetching data
Fetching data
Search runs in more detail run
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9712, kappa: 0.968, kb_relative_information_score: 641.7664, mean_absolute_error: 0.0086, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9719, predictive_accuracy: 0.9712, prior_entropy: 3.3219, recall: 0.9712, relative_absolute_error: 0.0479, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.062, root_relative_squared_error: 0.2066, scimark_benchmark: 869.6028, usercpu_time_millis: 11190, usercpu_time_millis_testing: 11190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9849, kappa: 0.9832, kb_relative_information_score: 197.2613, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9851, predictive_accuracy: 0.9848, prior_entropy: 3.3219, recall: 0.9848, relative_absolute_error: 0.8899, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2725, root_relative_squared_error: 0.9082, scimark_benchmark: 930.5999, usercpu_time_millis: 242860, usercpu_time_millis_testing: 222920, usercpu_time_millis_training: 19940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9818, kappa: 0.9798, kb_relative_information_score: 197.1621, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9822, predictive_accuracy: 0.9818, prior_entropy: 3.3219, recall: 0.9818, relative_absolute_error: 0.8899, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2723, root_relative_squared_error: 0.9077, scimark_benchmark: 1321.527, usercpu_time_millis: 5110, usercpu_time_millis_testing: 610, usercpu_time_millis_training: 4500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9576, kappa: 0.9528, kb_relative_information_score: 634.3423, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9582, predictive_accuracy: 0.9576, prior_entropy: 3.3219, recall: 0.9576, relative_absolute_error: 0.0501, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0785, root_relative_squared_error: 0.2618, scimark_benchmark: 938.9967, usercpu_time_millis: 228750, usercpu_time_millis_testing: 420, usercpu_time_millis_training: 228330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9757, kappa: 0.973, kb_relative_information_score: 643.2679, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9761, predictive_accuracy: 0.9758, prior_entropy: 3.3219, recall: 0.9758, relative_absolute_error: 0.0269, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0696, root_relative_squared_error: 0.2321, scimark_benchmark: 1250.8301, usercpu_time_millis: 630, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9788, kappa: 0.9764, kb_relative_information_score: 645.8659, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9788, predictive_accuracy: 0.9788, prior_entropy: 3.3219, recall: 0.9788, relative_absolute_error: 0.0237, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0608, root_relative_squared_error: 0.2027, scimark_benchmark: 1355.9413, usercpu_time_millis: 53540, usercpu_time_millis_testing: 51040, usercpu_time_millis_training: 2500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9578, kappa: 0.9528, kb_relative_information_score: 630.6325, mean_absolute_error: 0.0088, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.959, predictive_accuracy: 0.9576, prior_entropy: 3.3219, recall: 0.9576, relative_absolute_error: 0.0489, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0905, root_relative_squared_error: 0.3016, scimark_benchmark: 1028.5889, usercpu_time_millis: 360, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9577, kappa: 0.9528, kb_relative_information_score: 631.161, mean_absolute_error: 0.0087, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9587, predictive_accuracy: 0.9576, prior_entropy: 3.3219, recall: 0.9576, relative_absolute_error: 0.0485, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0896, root_relative_squared_error: 0.2987, scimark_benchmark: 1327.8711, usercpu_time_millis: 2411690, usercpu_time_millis_testing: 6310, usercpu_time_millis_training: 2405380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9698, kappa: 0.9663, kb_relative_information_score: 501.5586, mean_absolute_error: 0.0786, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9705, predictive_accuracy: 0.9697, prior_entropy: 3.3219, recall: 0.9697, relative_absolute_error: 0.4368, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1485, root_relative_squared_error: 0.4952, scimark_benchmark: 1280.6952, usercpu_time_millis: 710, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8264, f_measure: 0.628, kappa: 0.5887, kb_relative_information_score: 415.8758, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.6349, predictive_accuracy: 0.6303, prior_entropy: 3.3219, recall: 0.6303, relative_absolute_error: 0.4189, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2556, root_relative_squared_error: 0.8522, scimark_benchmark: 1315.3881, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8926, f_measure: 0.7212, kappa: 0.6882, kb_relative_information_score: 468.4487, mean_absolute_error: 0.0654, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7249, predictive_accuracy: 0.7197, prior_entropy: 3.3219, recall: 0.7197, relative_absolute_error: 0.3631, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.6878, scimark_benchmark: 1066.7184, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9402, f_measure: 0.8537, kappa: 0.8366, kb_relative_information_score: 550.7952, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8559, predictive_accuracy: 0.853, prior_entropy: 3.3219, recall: 0.853, relative_absolute_error: 0.2051, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1608, root_relative_squared_error: 0.536, scimark_benchmark: 1327.6929, usercpu_time_millis: 43000, usercpu_time_millis_training: 43000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, f_measure: 0.8279, kappa: 0.8017, kb_relative_information_score: 536.6006, mean_absolute_error: 0.0358, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8724, predictive_accuracy: 0.8212, prior_entropy: 3.3219, recall: 0.8212, relative_absolute_error: 0.1987, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1891, root_relative_squared_error: 0.6303, scimark_benchmark: 1280.6952, usercpu_time_millis: 18510, usercpu_time_millis_testing: 10860, usercpu_time_millis_training: 7650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5026, f_measure: 0.0328, kappa: 0.0052, kb_relative_information_score: 52.4149, mean_absolute_error: 0.1761, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.3057, predictive_accuracy: 0.1197, prior_entropy: 3.3219, recall: 0.1197, relative_absolute_error: 0.9781, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4196, root_relative_squared_error: 1.3987, scimark_benchmark: 1368.9272, usercpu_time_millis: 9200, usercpu_time_millis_testing: 1810, usercpu_time_millis_training: 7390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9158, f_measure: 0.8251, kappa: 0.8062, kb_relative_information_score: 531.8824, mean_absolute_error: 0.0413, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8286, predictive_accuracy: 0.8258, prior_entropy: 3.3219, recall: 0.8258, relative_absolute_error: 0.2295, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1769, root_relative_squared_error: 0.5896, scimark_benchmark: 1466.6185, usercpu_time_millis: 770, usercpu_time_millis_training: 770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6902, f_measure: 0.4595, kappa: 0.3828, kb_relative_information_score: 279.3443, mean_absolute_error: 0.1103, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.5854, predictive_accuracy: 0.4485, prior_entropy: 3.3219, recall: 0.4485, relative_absolute_error: 0.6128, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3321, root_relative_squared_error: 1.1071, scimark_benchmark: 1466.6185, usercpu_time_millis: 5690, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 5680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5597, f_measure: 0.1026, kappa: 0.1196, kb_relative_information_score: 110.9773, mean_absolute_error: 0.1591, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.1322, predictive_accuracy: 0.2045, prior_entropy: 3.3219, recall: 0.2045, relative_absolute_error: 0.8838, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3989, root_relative_squared_error: 1.3295, scimark_benchmark: 1465.2979, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9116, f_measure: 0.8403, kappa: 0.8231, kb_relative_information_score: 550.1955, mean_absolute_error: 0.0318, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8405, predictive_accuracy: 0.8409, prior_entropy: 3.3219, recall: 0.8409, relative_absolute_error: 0.1768, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1784, root_relative_squared_error: 0.5946, scimark_benchmark: 977.6382, usercpu_time_millis: 18830, usercpu_time_millis_training: 18830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0137, kb_relative_information_score: 3.8825, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.0075, predictive_accuracy: 0.0864, prior_entropy: 3.3219, recall: 0.0864, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3002, root_relative_squared_error: 1.0006, scimark_benchmark: 1054.3694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9066, f_measure: 0.7788, kappa: 0.7525, kb_relative_information_score: 511.3512, mean_absolute_error: 0.049, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7882, predictive_accuracy: 0.7773, prior_entropy: 3.3219, recall: 0.7773, relative_absolute_error: 0.2721, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.6409, scimark_benchmark: 1066.833, usercpu_time_millis: 140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, build_cpu_time: 6.637, build_memory: 280938448, f_measure: 0.9818, kappa: 0.9798, kb_relative_information_score: 197.1621, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9822, predictive_accuracy: 0.9818, prior_entropy: 3.3219, recall: 0.9818, relative_absolute_error: 0.8899, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2723, root_relative_squared_error: 0.9077, scimark_benchmark: 943.0278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, build_cpu_time: 6.084, build_memory: 1059679800, f_measure: 0.9818, kappa: 0.9798, kb_relative_information_score: 197.1621, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9822, predictive_accuracy: 0.9818, prior_entropy: 3.3219, recall: 0.9818, relative_absolute_error: 0.8899, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2723, root_relative_squared_error: 0.9077, scimark_benchmark: 940.9906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, build_cpu_time: 6.672, build_memory: 370936016, f_measure: 0.9818, kappa: 0.9798, kb_relative_information_score: 197.1621, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9822, predictive_accuracy: 0.9818, prior_entropy: 3.3219, recall: 0.9818, relative_absolute_error: 0.8899, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2723, root_relative_squared_error: 0.9077, scimark_benchmark: 919.6575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, build_cpu_time: 6.418, build_memory: 259419944, f_measure: 0.9818, kappa: 0.9798, kb_relative_information_score: 197.1621, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9822, predictive_accuracy: 0.9818, prior_entropy: 3.3219, recall: 0.9818, relative_absolute_error: 0.8899, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2723, root_relative_squared_error: 0.9077, scimark_benchmark: 937.3768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, build_cpu_time: 6.954, build_memory: 1151325888, f_measure: 0.9818, kappa: 0.9798, kb_relative_information_score: 197.1621, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9822, predictive_accuracy: 0.9818, prior_entropy: 3.3219, recall: 0.9818, relative_absolute_error: 0.8899, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2723, root_relative_squared_error: 0.9077, scimark_benchmark: 943.1873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, build_cpu_time: 1.246, build_memory: 200217080, f_measure: 0.8905, kappa: 0.8771, kb_relative_information_score: 580.7007, mean_absolute_error: 0.0293, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8974, predictive_accuracy: 0.8894, prior_entropy: 3.3219, recall: 0.8894, relative_absolute_error: 0.163, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1236, root_relative_squared_error: 0.4121, scimark_benchmark: 942.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, build_cpu_time: 2.639, build_memory: 83667096, f_measure: 0.9337, kappa: 0.9259, kb_relative_information_score: 613.2979, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9356, predictive_accuracy: 0.9333, prior_entropy: 3.3219, recall: 0.9333, relative_absolute_error: 0.0938, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1026, root_relative_squared_error: 0.3419, scimark_benchmark: 942.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, build_cpu_time: 5.845, build_memory: 561106936, f_measure: 0.9517, kappa: 0.9461, kb_relative_information_score: 627.9434, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9526, predictive_accuracy: 0.9515, prior_entropy: 3.3219, recall: 0.9515, relative_absolute_error: 0.0597, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0884, root_relative_squared_error: 0.2946, scimark_benchmark: 932.9956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, build_cpu_time: 10.6, build_memory: 853569296, f_measure: 0.9683, kappa: 0.9646, kb_relative_information_score: 637.1293, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9689, predictive_accuracy: 0.9682, prior_entropy: 3.3219, recall: 0.9682, relative_absolute_error: 0.0382, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0777, root_relative_squared_error: 0.2589, scimark_benchmark: 927.1482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, build_cpu_time: 22.003, build_memory: 1326103888, f_measure: 0.9607, kappa: 0.9562, kb_relative_information_score: 633.6644, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9615, predictive_accuracy: 0.9606, prior_entropy: 3.3219, recall: 0.9606, relative_absolute_error: 0.0432, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.086, root_relative_squared_error: 0.2867, scimark_benchmark: 923.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8472, build_cpu_time: 0.021, build_memory: 162070864, f_measure: 0.6738, kappa: 0.6379, kb_relative_information_score: 445.4651, mean_absolute_error: 0.0662, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.6801, predictive_accuracy: 0.6742, prior_entropy: 3.3219, recall: 0.6742, relative_absolute_error: 0.3679, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2411, root_relative_squared_error: 0.8035, scimark_benchmark: 947.5446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8472, build_cpu_time: 0.022, build_memory: 1730738088, f_measure: 0.6738, kappa: 0.6379, kb_relative_information_score: 445.4651, mean_absolute_error: 0.0662, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.6801, predictive_accuracy: 0.6742, prior_entropy: 3.3219, recall: 0.6742, relative_absolute_error: 0.3679, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2411, root_relative_squared_error: 0.8035, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8472, build_cpu_time: 0.017, build_memory: 3103813992, f_measure: 0.6738, kappa: 0.6379, kb_relative_information_score: 445.4651, mean_absolute_error: 0.0662, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.6801, predictive_accuracy: 0.6742, prior_entropy: 3.3219, recall: 0.6742, relative_absolute_error: 0.3679, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2411, root_relative_squared_error: 0.8035, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8472, build_cpu_time: 0.019, build_memory: 288440512, f_measure: 0.6738, kappa: 0.6379, kb_relative_information_score: 445.4651, mean_absolute_error: 0.0662, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.6801, predictive_accuracy: 0.6742, prior_entropy: 3.3219, recall: 0.6742, relative_absolute_error: 0.3679, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2411, root_relative_squared_error: 0.8035, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8472, build_cpu_time: 0.02, build_memory: 1093648840, f_measure: 0.6738, kappa: 0.6379, kb_relative_information_score: 445.4651, mean_absolute_error: 0.0662, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.6801, predictive_accuracy: 0.6742, prior_entropy: 3.3219, recall: 0.6742, relative_absolute_error: 0.3679, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2411, root_relative_squared_error: 0.8035, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, build_cpu_time: 0.835, build_memory: 1448310488, f_measure: 0.9743, kappa: 0.9714, kb_relative_information_score: 502.3563, mean_absolute_error: 0.0779, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9747, predictive_accuracy: 0.9742, prior_entropy: 3.3219, recall: 0.9742, relative_absolute_error: 0.4329, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1483, root_relative_squared_error: 0.4943, scimark_benchmark: 943.8094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, build_cpu_time: 0.988, build_memory: 1066916400, f_measure: 0.9743, kappa: 0.9714, kb_relative_information_score: 502.3563, mean_absolute_error: 0.0779, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9747, predictive_accuracy: 0.9742, prior_entropy: 3.3219, recall: 0.9742, relative_absolute_error: 0.4329, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1483, root_relative_squared_error: 0.4943, scimark_benchmark: 924.9295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, build_cpu_time: 0.621, build_memory: 2724390472, f_measure: 0.9743, kappa: 0.9714, kb_relative_information_score: 502.3563, mean_absolute_error: 0.0779, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9747, predictive_accuracy: 0.9742, prior_entropy: 3.3219, recall: 0.9742, relative_absolute_error: 0.4329, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1483, root_relative_squared_error: 0.4943, scimark_benchmark: 872.1114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, build_cpu_time: 0.844, build_memory: 2269612232, f_measure: 0.9743, kappa: 0.9714, kb_relative_information_score: 502.3563, mean_absolute_error: 0.0779, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9747, predictive_accuracy: 0.9742, prior_entropy: 3.3219, recall: 0.9742, relative_absolute_error: 0.4329, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1483, root_relative_squared_error: 0.4943, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, build_cpu_time: 0.709, build_memory: 1790838872, f_measure: 0.9743, kappa: 0.9714, kb_relative_information_score: 502.3563, mean_absolute_error: 0.0779, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9747, predictive_accuracy: 0.9742, prior_entropy: 3.3219, recall: 0.9742, relative_absolute_error: 0.4329, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1483, root_relative_squared_error: 0.4943, scimark_benchmark: 937.5757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5648, build_cpu_time: 0.031, build_memory: 1153807544, f_measure: 0.1199, kappa: 0.1299, kb_relative_information_score: 118.2976, mean_absolute_error: 0.157, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.1182, predictive_accuracy: 0.2152, prior_entropy: 3.3219, recall: 0.2152, relative_absolute_error: 0.8721, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3962, root_relative_squared_error: 1.3206, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5648, build_cpu_time: 0.03, build_memory: 350777600, f_measure: 0.1199, kappa: 0.1299, kb_relative_information_score: 118.2976, mean_absolute_error: 0.157, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.1182, predictive_accuracy: 0.2152, prior_entropy: 3.3219, recall: 0.2152, relative_absolute_error: 0.8721, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3962, root_relative_squared_error: 1.3206, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5648, build_cpu_time: 0.02, build_memory: 1912434344, f_measure: 0.1199, kappa: 0.1299, kb_relative_information_score: 118.2976, mean_absolute_error: 0.157, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.1182, predictive_accuracy: 0.2152, prior_entropy: 3.3219, recall: 0.2152, relative_absolute_error: 0.8721, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3962, root_relative_squared_error: 1.3206, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5648, build_cpu_time: 0.019, build_memory: 929080680, f_measure: 0.1199, kappa: 0.1299, kb_relative_information_score: 118.2976, mean_absolute_error: 0.157, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.1182, predictive_accuracy: 0.2152, prior_entropy: 3.3219, recall: 0.2152, relative_absolute_error: 0.8721, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3962, root_relative_squared_error: 1.3206, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5648, build_cpu_time: 0.021, build_memory: 388632352, f_measure: 0.1199, kappa: 0.1299, kb_relative_information_score: 118.2976, mean_absolute_error: 0.157, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.1182, predictive_accuracy: 0.2152, prior_entropy: 3.3219, recall: 0.2152, relative_absolute_error: 0.8721, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3962, root_relative_squared_error: 1.3206, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, build_cpu_time: 2.756, build_memory: 1499675680, f_measure: 0.9433, kappa: 0.9377, kb_relative_information_score: 623.8261, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9444, predictive_accuracy: 0.9439, prior_entropy: 3.3219, recall: 0.9439, relative_absolute_error: 0.0631, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0992, root_relative_squared_error: 0.3308, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, build_cpu_time: 5.988, build_memory: 1369349936, f_measure: 0.9405, kappa: 0.9343, kb_relative_information_score: 623.0776, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9414, predictive_accuracy: 0.9409, prior_entropy: 3.3219, recall: 0.9409, relative_absolute_error: 0.0628, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1018, root_relative_squared_error: 0.3394, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, build_cpu_time: 11.686, build_memory: 489503496, f_measure: 0.9418, kappa: 0.9359, kb_relative_information_score: 621.0373, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9425, predictive_accuracy: 0.9424, prior_entropy: 3.3219, recall: 0.9424, relative_absolute_error: 0.063, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1048, root_relative_squared_error: 0.3494, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, build_cpu_time: 23.292, build_memory: 352631472, f_measure: 0.9358, kappa: 0.9292, kb_relative_information_score: 616.6504, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9366, predictive_accuracy: 0.9364, prior_entropy: 3.3219, recall: 0.9364, relative_absolute_error: 0.0708, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1114, root_relative_squared_error: 0.3712, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9704, build_cpu_time: 46.608, build_memory: 208654456, f_measure: 0.9405, kappa: 0.9343, kb_relative_information_score: 619.2399, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9411, predictive_accuracy: 0.9409, prior_entropy: 3.3219, recall: 0.9409, relative_absolute_error: 0.0656, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1085, root_relative_squared_error: 0.3616, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, build_cpu_time: 553.64, build_memory: 1348429760, f_measure: 0.8984, kappa: 0.8871, kb_relative_information_score: 565.12, mean_absolute_error: 0.0403, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8992, predictive_accuracy: 0.8985, prior_entropy: 3.3219, recall: 0.8985, relative_absolute_error: 0.2237, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1253, root_relative_squared_error: 0.4177, scimark_benchmark: 939.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, build_cpu_time: 848.064, build_memory: 175792360, f_measure: 0.9063, kappa: 0.8955, kb_relative_information_score: 600.7621, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9081, predictive_accuracy: 0.9061, prior_entropy: 3.3219, recall: 0.9061, relative_absolute_error: 0.1182, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1168, root_relative_squared_error: 0.3894, scimark_benchmark: 940.3132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, build_cpu_time: 863.761, build_memory: 219441952, f_measure: 0.9063, kappa: 0.8955, kb_relative_information_score: 600.7621, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9081, predictive_accuracy: 0.9061, prior_entropy: 3.3219, recall: 0.9061, relative_absolute_error: 0.1182, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1168, root_relative_squared_error: 0.3894, scimark_benchmark: 942.3919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, build_cpu_time: 838.871, build_memory: 760714048, f_measure: 0.9063, kappa: 0.8955, kb_relative_information_score: 600.7621, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9081, predictive_accuracy: 0.9061, prior_entropy: 3.3219, recall: 0.9061, relative_absolute_error: 0.1182, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1168, root_relative_squared_error: 0.3894, scimark_benchmark: 942.3945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, build_cpu_time: 881.513, build_memory: 47296808, f_measure: 0.9063, kappa: 0.8955, kb_relative_information_score: 600.7621, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9081, predictive_accuracy: 0.9061, prior_entropy: 3.3219, recall: 0.9061, relative_absolute_error: 0.1182, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1168, root_relative_squared_error: 0.3894, scimark_benchmark: 915.8564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, build_cpu_time: 40138.054, build_memory: 1836438920, f_measure: 0.9667, kappa: 0.9629, kb_relative_information_score: 636.9933, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9675, predictive_accuracy: 0.9667, prior_entropy: 3.3219, recall: 0.9667, relative_absolute_error: 0.037, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0816, root_relative_squared_error: 0.2722, scimark_benchmark: 935.1241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, build_cpu_time: 9826.789, build_memory: 672467928, f_measure: 0.9682, kappa: 0.9646, kb_relative_information_score: 638.617, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9687, predictive_accuracy: 0.9682, prior_entropy: 3.3219, recall: 0.9682, relative_absolute_error: 0.0348, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0781, root_relative_squared_error: 0.2603, scimark_benchmark: 925.7673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, build_cpu_time: 6340.517, build_memory: 293336016, f_measure: 0.9682, kappa: 0.9646, kb_relative_information_score: 638.6595, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9686, predictive_accuracy: 0.9682, prior_entropy: 3.3219, recall: 0.9682, relative_absolute_error: 0.035, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0783, root_relative_squared_error: 0.2611, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, build_cpu_time: 2893.566, build_memory: 914239448, f_measure: 0.9667, kappa: 0.9629, kb_relative_information_score: 637.1384, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9672, predictive_accuracy: 0.9667, prior_entropy: 3.3219, recall: 0.9667, relative_absolute_error: 0.0374, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0802, root_relative_squared_error: 0.2674, scimark_benchmark: 937.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, build_cpu_time: 418.431, build_memory: 32720960, f_measure: 0.9381, kappa: 0.9309, kb_relative_information_score: 593.5564, mean_absolute_error: 0.0289, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9389, predictive_accuracy: 0.9379, prior_entropy: 3.3219, recall: 0.9379, relative_absolute_error: 0.1606, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.102, root_relative_squared_error: 0.34, scimark_benchmark: 942.3919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, build_cpu_time: 794.788, build_memory: 269310584, f_measure: 0.9441, kappa: 0.9376, kb_relative_information_score: 614.5961, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9446, predictive_accuracy: 0.9439, prior_entropy: 3.3219, recall: 0.9439, relative_absolute_error: 0.1016, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0899, root_relative_squared_error: 0.2997, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, build_cpu_time: 1425.362, build_memory: 499481776, f_measure: 0.9486, kappa: 0.9427, kb_relative_information_score: 622.1767, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9489, predictive_accuracy: 0.9485, prior_entropy: 3.3219, recall: 0.9485, relative_absolute_error: 0.0821, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0845, root_relative_squared_error: 0.2818, scimark_benchmark: 923.3659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, build_cpu_time: 1231.151, build_memory: 354807144, f_measure: 0.9486, kappa: 0.9427, kb_relative_information_score: 622.1767, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9489, predictive_accuracy: 0.9485, prior_entropy: 3.3219, recall: 0.9485, relative_absolute_error: 0.0821, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0845, root_relative_squared_error: 0.2818, scimark_benchmark: 938.1146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, build_cpu_time: 1276.68, build_memory: 696899192, f_measure: 0.9486, kappa: 0.9427, kb_relative_information_score: 622.1767, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9489, predictive_accuracy: 0.9485, prior_entropy: 3.3219, recall: 0.9485, relative_absolute_error: 0.0821, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0845, root_relative_squared_error: 0.2818, scimark_benchmark: 924.2473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, build_cpu_time: 204.081, build_memory: 272015472, f_measure: 0.9743, kappa: 0.9714, kb_relative_information_score: 642.2206, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9747, predictive_accuracy: 0.9742, prior_entropy: 3.3219, recall: 0.9742, relative_absolute_error: 0.0286, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0718, root_relative_squared_error: 0.2392, scimark_benchmark: 920.7965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, build_cpu_time: 104.872, build_memory: 1703495344, f_measure: 0.9713, kappa: 0.968, kb_relative_information_score: 641.0555, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.972, predictive_accuracy: 0.9712, prior_entropy: 3.3219, recall: 0.9712, relative_absolute_error: 0.031, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0738, root_relative_squared_error: 0.2462, scimark_benchmark: 934.8107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, build_cpu_time: 52.257, build_memory: 260478400, f_measure: 0.9713, kappa: 0.968, kb_relative_information_score: 640.7632, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9719, predictive_accuracy: 0.9712, prior_entropy: 3.3219, recall: 0.9712, relative_absolute_error: 0.0311, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0734, root_relative_squared_error: 0.2446, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, build_cpu_time: 27.146, build_memory: 867188736, f_measure: 0.9698, kappa: 0.9663, kb_relative_information_score: 641.3443, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9703, predictive_accuracy: 0.9697, prior_entropy: 3.3219, recall: 0.9697, relative_absolute_error: 0.0325, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0723, root_relative_squared_error: 0.241, scimark_benchmark: 906.6607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, build_cpu_time: 11.673, build_memory: 912815936, f_measure: 0.9577, kappa: 0.9528, kb_relative_information_score: 635.71, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9586, predictive_accuracy: 0.9576, prior_entropy: 3.3219, recall: 0.9576, relative_absolute_error: 0.0446, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0792, root_relative_squared_error: 0.264, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, build_cpu_time: 1.149, build_memory: 723769128, f_measure: 0.9189, kappa: 0.9091, kb_relative_information_score: 605.7994, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9222, predictive_accuracy: 0.9182, prior_entropy: 3.3219, recall: 0.9182, relative_absolute_error: 0.0936, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1188, root_relative_squared_error: 0.396, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, build_cpu_time: 1.957, build_memory: 105720952, f_measure: 0.9341, kappa: 0.9259, kb_relative_information_score: 616.9498, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9375, predictive_accuracy: 0.9333, prior_entropy: 3.3219, recall: 0.9333, relative_absolute_error: 0.0729, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1092, root_relative_squared_error: 0.3638, scimark_benchmark: 893.4088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, build_cpu_time: 4.164, build_memory: 164501480, f_measure: 0.9457, kappa: 0.9394, kb_relative_information_score: 623.2806, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.947, predictive_accuracy: 0.9455, prior_entropy: 3.3219, recall: 0.9455, relative_absolute_error: 0.0601, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1016, root_relative_squared_error: 0.3388, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, build_cpu_time: 8.272, build_memory: 667307032, f_measure: 0.9503, kappa: 0.9444, kb_relative_information_score: 625.2007, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9518, predictive_accuracy: 0.95, prior_entropy: 3.3219, recall: 0.95, relative_absolute_error: 0.0565, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0996, root_relative_squared_error: 0.332, scimark_benchmark: 943.4039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, build_cpu_time: 15.966, build_memory: 390665368, f_measure: 0.9533, kappa: 0.9478, kb_relative_information_score: 627.5233, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9545, predictive_accuracy: 0.953, prior_entropy: 3.3219, recall: 0.953, relative_absolute_error: 0.0524, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0966, root_relative_squared_error: 0.3221, scimark_benchmark: 908.2898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, build_cpu_time: 2.144, build_memory: 74496112, f_measure: 0.9649, kappa: 0.9612, kb_relative_information_score: 637.0243, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9657, predictive_accuracy: 0.9652, prior_entropy: 3.3219, recall: 0.9652, relative_absolute_error: 0.0426, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0778, root_relative_squared_error: 0.2594, scimark_benchmark: 924.6733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, build_cpu_time: 2.504, build_memory: 1293050000, f_measure: 0.9649, kappa: 0.9612, kb_relative_information_score: 637.0243, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9657, predictive_accuracy: 0.9652, prior_entropy: 3.3219, recall: 0.9652, relative_absolute_error: 0.0426, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0778, root_relative_squared_error: 0.2594, scimark_benchmark: 916.1588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.71, build_cpu_time: 0.029, build_memory: 77857064, f_measure: 0.0543, kappa: 0.0853, kb_relative_information_score: 144.4089, mean_absolute_error: 0.1671, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.0322, predictive_accuracy: 0.1712, prior_entropy: 3.3219, recall: 0.1712, relative_absolute_error: 0.9283, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2895, root_relative_squared_error: 0.9649, scimark_benchmark: 939.7233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.71, build_cpu_time: 0.097, build_memory: 161955536, f_measure: 0.0543, kappa: 0.0853, kb_relative_information_score: 144.4089, mean_absolute_error: 0.1671, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.0322, predictive_accuracy: 0.1712, prior_entropy: 3.3219, recall: 0.1712, relative_absolute_error: 0.9283, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2895, root_relative_squared_error: 0.9649, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, build_cpu_time: 366.565, build_memory: 2862498280, f_measure: 0.9728, kappa: 0.9697, kb_relative_information_score: 641.0816, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9732, predictive_accuracy: 0.9727, prior_entropy: 3.3219, recall: 0.9727, relative_absolute_error: 0.0343, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0714, root_relative_squared_error: 0.2379, scimark_benchmark: 936.7073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, build_cpu_time: 188.964, build_memory: 1317148016, f_measure: 0.953, kappa: 0.9478, kb_relative_information_score: 629.1988, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9536, predictive_accuracy: 0.953, prior_entropy: 3.3219, recall: 0.953, relative_absolute_error: 0.0556, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0889, root_relative_squared_error: 0.2962, scimark_benchmark: 924.2934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, build_cpu_time: 2808.823, build_memory: 3607250704, f_measure: 0.9066, kappa: 0.8938, kb_relative_information_score: 596.0705, mean_absolute_error: 0.0202, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9117, predictive_accuracy: 0.9045, prior_entropy: 3.3219, recall: 0.9045, relative_absolute_error: 0.112, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1304, root_relative_squared_error: 0.4346, scimark_benchmark: 908.7121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, build_cpu_time: 0.841, build_memory: 870421120, f_measure: 0.9849, kappa: 0.9831, kb_relative_information_score: 649.2921, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.985, predictive_accuracy: 0.9848, prior_entropy: 3.3219, recall: 0.9848, relative_absolute_error: 0.0177, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0553, root_relative_squared_error: 0.1845, scimark_benchmark: 932.1837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, build_cpu_time: 0.76, build_memory: 380738792, f_measure: 0.9698, kappa: 0.9663, kb_relative_information_score: 501.5586, mean_absolute_error: 0.0786, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9705, predictive_accuracy: 0.9697, prior_entropy: 3.3219, recall: 0.9697, relative_absolute_error: 0.4368, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1485, root_relative_squared_error: 0.4952, scimark_benchmark: 938.6628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9509, build_cpu_time: 1.511, build_memory: 639435664, f_measure: 0.8925, kappa: 0.8804, kb_relative_information_score: 578.7865, mean_absolute_error: 0.0269, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8936, predictive_accuracy: 0.8924, prior_entropy: 3.3219, recall: 0.8924, relative_absolute_error: 0.1497, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1414, root_relative_squared_error: 0.4713, scimark_benchmark: 936.8525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, build_memory: 171068280, f_measure: 0.9649, kappa: 0.9612, kb_relative_information_score: 637.0243, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9657, predictive_accuracy: 0.9652, prior_entropy: 3.3219, recall: 0.9652, relative_absolute_error: 0.0426, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0778, root_relative_squared_error: 0.2594, scimark_benchmark: 875.7999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, build_cpu_time: 11.595, build_memory: 124440024, f_measure: 0.9849, kappa: 0.9832, kb_relative_information_score: 197.2613, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9851, predictive_accuracy: 0.9848, prior_entropy: 3.3219, recall: 0.9848, relative_absolute_error: 0.8899, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2725, root_relative_squared_error: 0.9082, scimark_benchmark: 920.2722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, build_cpu_time: 4.952, build_memory: 679849560, f_measure: 0.9818, kappa: 0.9798, kb_relative_information_score: 197.1621, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9822, predictive_accuracy: 0.9818, prior_entropy: 3.3219, recall: 0.9818, relative_absolute_error: 0.8899, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2723, root_relative_squared_error: 0.9077, scimark_benchmark: 926.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, build_cpu_time: 1.016, build_memory: 355469560, f_measure: 0.8546, kappa: 0.8366, kb_relative_information_score: 506.682, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8585, predictive_accuracy: 0.853, prior_entropy: 3.3219, recall: 0.853, relative_absolute_error: 0.3621, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1585, root_relative_squared_error: 0.5285, scimark_benchmark: 930.1524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, build_cpu_time: 1.225, build_memory: 1095549704, f_measure: 0.8546, kappa: 0.8366, kb_relative_information_score: 506.682, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8585, predictive_accuracy: 0.853, prior_entropy: 3.3219, recall: 0.853, relative_absolute_error: 0.3621, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1585, root_relative_squared_error: 0.5285, scimark_benchmark: 933.4176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.71, build_cpu_time: 0.028, build_memory: 127404848, f_measure: 0.0543, kappa: 0.0853, kb_relative_information_score: 144.4089, mean_absolute_error: 0.1671, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.0322, predictive_accuracy: 0.1712, prior_entropy: 3.3219, recall: 0.1712, relative_absolute_error: 0.9283, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2895, root_relative_squared_error: 0.9649, scimark_benchmark: 945.1122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.71, build_cpu_time: 0.044, build_memory: 311838376, f_measure: 0.0543, kappa: 0.0853, kb_relative_information_score: 144.4089, mean_absolute_error: 0.1671, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.0322, predictive_accuracy: 0.1712, prior_entropy: 3.3219, recall: 0.1712, relative_absolute_error: 0.9283, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2895, root_relative_squared_error: 0.9649, scimark_benchmark: 920.6941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5597, build_cpu_time: 0.04, build_memory: 267962504, f_measure: 0.1026, kappa: 0.1196, kb_relative_information_score: 110.9773, mean_absolute_error: 0.1591, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.1322, predictive_accuracy: 0.2045, prior_entropy: 3.3219, recall: 0.2045, relative_absolute_error: 0.8838, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3989, root_relative_squared_error: 1.3295, scimark_benchmark: 947.5974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5597, build_cpu_time: 0.039, build_memory: 537010416, f_measure: 0.1026, kappa: 0.1196, kb_relative_information_score: 110.9773, mean_absolute_error: 0.1591, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.1322, predictive_accuracy: 0.2045, prior_entropy: 3.3219, recall: 0.2045, relative_absolute_error: 0.8838, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3989, root_relative_squared_error: 1.3295, scimark_benchmark: 946.3269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_memory: 506180096, f_measure: 0.0137, kb_relative_information_score: 3.8825, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.0075, predictive_accuracy: 0.0864, prior_entropy: 3.3219, recall: 0.0864, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3002, root_relative_squared_error: 1.0006, scimark_benchmark: 940.3415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, build_cpu_time: 0.01, build_memory: 165578680, f_measure: 0.9577, kappa: 0.9528, kb_relative_information_score: 631.161, mean_absolute_error: 0.0087, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9587, predictive_accuracy: 0.9576, prior_entropy: 3.3219, recall: 0.9576, relative_absolute_error: 0.0485, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0896, root_relative_squared_error: 0.2987, scimark_benchmark: 949.9767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, build_cpu_time: 83.171, build_memory: 422523368, f_measure: 0.9833, kappa: 0.9815, kb_relative_information_score: 196.9911, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9835, predictive_accuracy: 0.9833, prior_entropy: 3.3219, recall: 0.9833, relative_absolute_error: 0.8901, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2721, root_relative_squared_error: 0.9069, scimark_benchmark: 926.0021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, build_cpu_time: 44.946, build_memory: 81063424, f_measure: 0.9833, kappa: 0.9815, kb_relative_information_score: 196.9911, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9835, predictive_accuracy: 0.9833, prior_entropy: 3.3219, recall: 0.9833, relative_absolute_error: 0.8901, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2721, root_relative_squared_error: 0.9069, scimark_benchmark: 916.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, build_cpu_time: 90.777, build_memory: 362981680, f_measure: 0.9834, kappa: 0.9815, kb_relative_information_score: 196.996, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9836, predictive_accuracy: 0.9833, prior_entropy: 3.3219, recall: 0.9833, relative_absolute_error: 0.8901, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.272, root_relative_squared_error: 0.9068, scimark_benchmark: 941.7913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, build_cpu_time: 89.459, build_memory: 1048785680, f_measure: 0.9834, kappa: 0.9815, kb_relative_information_score: 196.996, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9836, predictive_accuracy: 0.9833, prior_entropy: 3.3219, recall: 0.9833, relative_absolute_error: 0.8901, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.272, root_relative_squared_error: 0.9068, scimark_benchmark: 919.3675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, build_cpu_time: 88.677, build_memory: 955507216, f_measure: 0.9834, kappa: 0.9815, kb_relative_information_score: 196.996, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9836, predictive_accuracy: 0.9833, prior_entropy: 3.3219, recall: 0.9833, relative_absolute_error: 0.8901, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.272, root_relative_squared_error: 0.9068, scimark_benchmark: 938.2568,

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