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 auto93

Supervised Classification on auto93

Task 3725 Supervised Classification auto93 512 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 under100k under1m
Issue #Downvotes for this reason By


Metric:

512 Runs

Fetching data
Fetching data
Search runs in more detail run
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.852, f_measure: 0.7503, kappa: 0.464, kb_relative_information_score: 44.8255, mean_absolute_error: 0.2351, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.7495, predictive_accuracy: 0.7527, prior_entropy: 0.9573, recall: 0.7527, relative_absolute_error: 0.5001, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3827, root_relative_squared_error: 0.79, scimark_benchmark: 942.9518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7739, f_measure: 0.7937, kappa: 0.5573, kb_relative_information_score: 51.395, mean_absolute_error: 0.2043, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.7935, predictive_accuracy: 0.7957, prior_entropy: 0.9573, recall: 0.7957, relative_absolute_error: 0.4346, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.452, root_relative_squared_error: 0.933, scimark_benchmark: 1312.3073, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4791, kb_relative_information_score: 16.511, mean_absolute_error: 0.3763, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.3889, predictive_accuracy: 0.6237, prior_entropy: 0.9573, recall: 0.6237, relative_absolute_error: 0.8006, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.6135, root_relative_squared_error: 1.2663, scimark_benchmark: 916.6405, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7424, f_measure: 0.762, kappa: 0.4903, kb_relative_information_score: 44.8542, mean_absolute_error: 0.2366, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.7612, predictive_accuracy: 0.7634, prior_entropy: 0.9573, recall: 0.7634, relative_absolute_error: 0.5033, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.4864, root_relative_squared_error: 1.0039, scimark_benchmark: 1297.6599, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.897, f_measure: 0.8177, kappa: 0.6128, kb_relative_information_score: 49.7014, mean_absolute_error: 0.2221, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8184, predictive_accuracy: 0.8172, prior_entropy: 0.9573, recall: 0.8172, relative_absolute_error: 0.4724, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.7443, scimark_benchmark: 1335.643, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6049, f_measure: 0.6321, kappa: 0.2123, kb_relative_information_score: 18.6912, mean_absolute_error: 0.3656, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.6304, predictive_accuracy: 0.6344, prior_entropy: 0.9573, recall: 0.6344, relative_absolute_error: 0.7778, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.6046, root_relative_squared_error: 1.248, scimark_benchmark: 916.5955, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9025, f_measure: 0.8241, kappa: 0.6206, kb_relative_information_score: 49.028, mean_absolute_error: 0.2278, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8279, predictive_accuracy: 0.828, prior_entropy: 0.9573, recall: 0.828, relative_absolute_error: 0.4846, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3528, root_relative_squared_error: 0.7283, scimark_benchmark: 912.5006, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9204, f_measure: 0.9039, kappa: 0.7973, kb_relative_information_score: 66.4113, mean_absolute_error: 0.1377, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.9066, predictive_accuracy: 0.9032, prior_entropy: 0.9573, recall: 0.9032, relative_absolute_error: 0.293, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3096, root_relative_squared_error: 0.639, scimark_benchmark: 1350.9691, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9143, f_measure: 0.814, kappa: 0.5992, kb_relative_information_score: 39.9882, mean_absolute_error: 0.2816, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8158, predictive_accuracy: 0.8172, prior_entropy: 0.9573, recall: 0.8172, relative_absolute_error: 0.599, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3522, root_relative_squared_error: 0.7271, scimark_benchmark: 1336.2509, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7209, f_measure: 0.7264, kappa: 0.4106, kb_relative_information_score: 35.5662, mean_absolute_error: 0.2833, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.7261, predictive_accuracy: 0.7312, prior_entropy: 0.9573, recall: 0.7312, relative_absolute_error: 0.6027, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.4956, root_relative_squared_error: 1.0229, scimark_benchmark: 1319.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6456, f_measure: 0.6715, kappa: 0.3107, kb_relative_information_score: 20.1109, mean_absolute_error: 0.3672, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.7756, predictive_accuracy: 0.7204, prior_entropy: 0.9573, recall: 0.7204, relative_absolute_error: 0.7811, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.4772, root_relative_squared_error: 0.9849, scimark_benchmark: 1066.7184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8034, f_measure: 0.7443, kappa: 0.4624, kb_relative_information_score: 37.5071, mean_absolute_error: 0.2785, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.7494, predictive_accuracy: 0.7419, prior_entropy: 0.9573, recall: 0.7419, relative_absolute_error: 0.5925, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.4638, root_relative_squared_error: 0.9574, scimark_benchmark: 1290.1085, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.651, f_measure: 0.6858, kappa: 0.3201, kb_relative_information_score: 31.7727, mean_absolute_error: 0.3011, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.6903, predictive_accuracy: 0.6989, prior_entropy: 0.9573, recall: 0.6989, relative_absolute_error: 0.6405, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.5487, root_relative_squared_error: 1.1326, scimark_benchmark: 1341.5768, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5286, f_measure: 0.5262, kappa: 0.0703, kb_relative_information_score: 20.8715, mean_absolute_error: 0.3548, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.7738, predictive_accuracy: 0.6452, prior_entropy: 0.9573, recall: 0.6452, relative_absolute_error: 0.7549, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.5957, root_relative_squared_error: 1.2295, scimark_benchmark: 1361.1055, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8377, f_measure: 0.7443, kappa: 0.4624, kb_relative_information_score: 39.8811, mean_absolute_error: 0.2675, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.7494, predictive_accuracy: 0.7419, prior_entropy: 0.9573, recall: 0.7419, relative_absolute_error: 0.5691, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.41, root_relative_squared_error: 0.8464, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6369, f_measure: 0.676, kappa: 0.3069, kb_relative_information_score: 33.953, mean_absolute_error: 0.2903, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.7196, predictive_accuracy: 0.7097, prior_entropy: 0.9573, recall: 0.7097, relative_absolute_error: 0.6176, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.5388, root_relative_squared_error: 1.1122, scimark_benchmark: 1351.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7793, f_measure: 0.7772, kappa: 0.5373, kb_relative_information_score: 47.0345, mean_absolute_error: 0.2258, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.789, predictive_accuracy: 0.7742, prior_entropy: 0.9573, recall: 0.7742, relative_absolute_error: 0.4804, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.4752, root_relative_squared_error: 0.9808, scimark_benchmark: 1353.5686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4498, f_measure: 0.4791, kb_relative_information_score: -0.2139, mean_absolute_error: 0.4705, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.3889, predictive_accuracy: 0.6237, prior_entropy: 0.9573, recall: 0.6237, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.4849, root_relative_squared_error: 1.0009, scimark_benchmark: 1445.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8453, f_measure: 0.7766, kappa: 0.5322, kb_relative_information_score: 43.3509, mean_absolute_error: 0.2491, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.7836, predictive_accuracy: 0.7742, prior_entropy: 0.9573, recall: 0.7742, relative_absolute_error: 0.5299, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.4134, root_relative_squared_error: 0.8534, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8924, f_measure: 0.8167, kappa: 0.6084, kb_relative_information_score: 54.8871, mean_absolute_error: 0.1883, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8163, predictive_accuracy: 0.8172, prior_entropy: 0.9573, recall: 0.8172, relative_absolute_error: 0.4005, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.4023, root_relative_squared_error: 0.8305, scimark_benchmark: 931.2336, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9271, f_measure: 0.8925, kappa: 0.7709, kb_relative_information_score: 70.7807, mean_absolute_error: 0.1092, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8925, predictive_accuracy: 0.8925, prior_entropy: 0.9573, recall: 0.8925, relative_absolute_error: 0.2323, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3197, root_relative_squared_error: 0.6599, scimark_benchmark: 941.7954, usercpu_time_millis: 140, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9079, f_measure: 0.8716, kappa: 0.7282, kb_relative_information_score: 65.9136, mean_absolute_error: 0.1329, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8731, predictive_accuracy: 0.871, prior_entropy: 0.9573, recall: 0.871, relative_absolute_error: 0.2827, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3546, root_relative_squared_error: 0.7319, scimark_benchmark: 923.7642, usercpu_time_millis: 190, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9158, f_measure: 0.9039, kappa: 0.7973, kb_relative_information_score: 71.8747, mean_absolute_error: 0.1047, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.9066, predictive_accuracy: 0.9032, prior_entropy: 0.9573, recall: 0.9032, relative_absolute_error: 0.2227, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3137, root_relative_squared_error: 0.6475, scimark_benchmark: 894.7455, usercpu_time_millis: 390, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.917, f_measure: 0.8588, kappa: 0.6971, kb_relative_information_score: 66.2105, mean_absolute_error: 0.131, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8594, predictive_accuracy: 0.8602, prior_entropy: 0.9573, recall: 0.8602, relative_absolute_error: 0.2788, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3438, root_relative_squared_error: 0.7096, scimark_benchmark: 936.6206, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.916, f_measure: 0.8692, kappa: 0.7188, kb_relative_information_score: 65.8342, mean_absolute_error: 0.1345, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.871, predictive_accuracy: 0.871, prior_entropy: 0.9573, recall: 0.871, relative_absolute_error: 0.2861, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3469, root_relative_squared_error: 0.716, scimark_benchmark: 938.2848, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9047, f_measure: 0.8495, kappa: 0.6793, kb_relative_information_score: 60.1115, mean_absolute_error: 0.1637, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8495, predictive_accuracy: 0.8495, prior_entropy: 0.9573, recall: 0.8495, relative_absolute_error: 0.3483, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3683, root_relative_squared_error: 0.7603, scimark_benchmark: 936.6206, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8791, f_measure: 0.8154, kappa: 0.6039, kb_relative_information_score: 52.4655, mean_absolute_error: 0.2018, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8154, predictive_accuracy: 0.8172, prior_entropy: 0.9573, recall: 0.8172, relative_absolute_error: 0.4293, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.4152, root_relative_squared_error: 0.857, scimark_benchmark: 934.5243, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8729, f_measure: 0.8082, kappa: 0.5968, kb_relative_information_score: 51.4385, mean_absolute_error: 0.2061, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.813, predictive_accuracy: 0.8065, prior_entropy: 0.9573, recall: 0.8065, relative_absolute_error: 0.4385, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.4155, root_relative_squared_error: 0.8577, scimark_benchmark: 938.4285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.952, f_measure: 0.9023, kappa: 0.7903, kb_relative_information_score: 70.4772, mean_absolute_error: 0.1131, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.9034, predictive_accuracy: 0.9032, prior_entropy: 0.9573, recall: 0.9032, relative_absolute_error: 0.2405, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3083, root_relative_squared_error: 0.6363, scimark_benchmark: 933.8635, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9273, f_measure: 0.8588, kappa: 0.6971, kb_relative_information_score: 62.7443, mean_absolute_error: 0.1498, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8594, predictive_accuracy: 0.8602, prior_entropy: 0.9573, recall: 0.8602, relative_absolute_error: 0.3188, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3434, root_relative_squared_error: 0.7089, scimark_benchmark: 924.6116, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9079, f_measure: 0.814, kappa: 0.5992, kb_relative_information_score: 55.8418, mean_absolute_error: 0.1834, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8158, predictive_accuracy: 0.8172, prior_entropy: 0.9573, recall: 0.8172, relative_absolute_error: 0.3902, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3736, root_relative_squared_error: 0.7712, scimark_benchmark: 945.6434, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8818, f_measure: 0.8167, kappa: 0.6084, kb_relative_information_score: 52.0763, mean_absolute_error: 0.2092, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8163, predictive_accuracy: 0.8172, prior_entropy: 0.9573, recall: 0.8172, relative_absolute_error: 0.4451, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3777, root_relative_squared_error: 0.7796, scimark_benchmark: 947.9494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8618, f_measure: 0.8038, kappa: 0.5781, kb_relative_information_score: 45.7128, mean_absolute_error: 0.2402, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8044, predictive_accuracy: 0.8065, prior_entropy: 0.9573, recall: 0.8065, relative_absolute_error: 0.5111, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.8146, scimark_benchmark: 929.566, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4498, f_measure: 0.4791, kb_relative_information_score: -0.2139, mean_absolute_error: 0.4705, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.3889, predictive_accuracy: 0.6237, prior_entropy: 0.9573, recall: 0.6237, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.4849, root_relative_squared_error: 1.0009, scimark_benchmark: 938.9865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7882, f_measure: 0.7238, kappa: 0.424, kb_relative_information_score: 36.7153, mean_absolute_error: 0.2757, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.7332, predictive_accuracy: 0.7204, prior_entropy: 0.9573, recall: 0.7204, relative_absolute_error: 0.5865, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.4865, root_relative_squared_error: 1.0042, scimark_benchmark: 934.5243, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8961, f_measure: 0.8382, kappa: 0.6544, kb_relative_information_score: 54.7483, mean_absolute_error: 0.1933, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.838, predictive_accuracy: 0.8387, prior_entropy: 0.9573, recall: 0.8387, relative_absolute_error: 0.4113, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3668, root_relative_squared_error: 0.7571, scimark_benchmark: 947.9494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9182, f_measure: 0.8598, kappa: 0.7005, kb_relative_information_score: 46.8849, mean_absolute_error: 0.245, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8596, predictive_accuracy: 0.8602, prior_entropy: 0.9573, recall: 0.8602, relative_absolute_error: 0.5213, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3321, root_relative_squared_error: 0.6855, scimark_benchmark: 902.4773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4498, f_measure: 0.4791, kb_relative_information_score: -0.2139, mean_absolute_error: 0.4705, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.3889, predictive_accuracy: 0.6237, prior_entropy: 0.9573, recall: 0.6237, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.4849, root_relative_squared_error: 1.0009, scimark_benchmark: 929.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8983, f_measure: 0.7921, kappa: 0.5521, kb_relative_information_score: 46.4958, mean_absolute_error: 0.2406, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.7934, predictive_accuracy: 0.7957, prior_entropy: 0.9573, recall: 0.7957, relative_absolute_error: 0.5118, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3623, root_relative_squared_error: 0.7479, scimark_benchmark: 911.0478, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4791, kb_relative_information_score: 16.511, mean_absolute_error: 0.3763, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.3889, predictive_accuracy: 0.6237, prior_entropy: 0.9573, recall: 0.6237, relative_absolute_error: 0.8006, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.6135, root_relative_squared_error: 1.2663, scimark_benchmark: 947.9494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8453, f_measure: 0.7766, kappa: 0.5322, kb_relative_information_score: 43.3509, mean_absolute_error: 0.2491, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.7836, predictive_accuracy: 0.7742, prior_entropy: 0.9573, recall: 0.7742, relative_absolute_error: 0.5299, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.4134, root_relative_squared_error: 0.8534, scimark_benchmark: 904.3001, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9158, f_measure: 0.8256, kappa: 0.625, kb_relative_information_score: 30.7962, mean_absolute_error: 0.3354, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8266, predictive_accuracy: 0.828, prior_entropy: 0.9573, recall: 0.828, relative_absolute_error: 0.7135, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3727, root_relative_squared_error: 0.7692, scimark_benchmark: 918.4924, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8695, f_measure: 0.7758, kappa: 0.527, kb_relative_information_score: 36.1117, mean_absolute_error: 0.2953, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.7791, predictive_accuracy: 0.7742, prior_entropy: 0.9573, recall: 0.7742, relative_absolute_error: 0.6281, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3773, root_relative_squared_error: 0.7788, scimark_benchmark: 917.7039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4791, kb_relative_information_score: 16.511, mean_absolute_error: 0.3763, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.3889, predictive_accuracy: 0.6237, prior_entropy: 0.9573, recall: 0.6237, relative_absolute_error: 0.8006, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.6135, root_relative_squared_error: 1.2663, scimark_benchmark: 901.0726, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4791, kb_relative_information_score: 16.511, mean_absolute_error: 0.3763, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.3889, predictive_accuracy: 0.6237, prior_entropy: 0.9573, recall: 0.6237, relative_absolute_error: 0.8006, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.6135, root_relative_squared_error: 1.2663, scimark_benchmark: 947.0793, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4791, kb_relative_information_score: 16.511, mean_absolute_error: 0.3763, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.3889, predictive_accuracy: 0.6237, prior_entropy: 0.9573, recall: 0.6237, relative_absolute_error: 0.8006, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.6135, root_relative_squared_error: 1.2663, scimark_benchmark: 942.1229, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.7902, kappa: 0.5468, kb_relative_information_score: 48.4501, mean_absolute_error: 0.2233, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.7946, predictive_accuracy: 0.7957, prior_entropy: 0.9573, recall: 0.7957, relative_absolute_error: 0.475, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3772, root_relative_squared_error: 0.7786, scimark_benchmark: 936.6206, usercpu_time_millis: 2690, usercpu_time_millis_testing: 2670, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9182, f_measure: 0.8681, kappa: 0.7155, kb_relative_information_score: 67.6114, mean_absolute_error: 0.1231, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8734, predictive_accuracy: 0.871, prior_entropy: 0.9573, recall: 0.871, relative_absolute_error: 0.2618, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3426, root_relative_squared_error: 0.7071, scimark_benchmark: 904.3001, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9067, f_measure: 0.891, kappa: 0.7656, kb_relative_information_score: 71.4093, mean_absolute_error: 0.1052, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8932, predictive_accuracy: 0.8925, prior_entropy: 0.9573, recall: 0.8925, relative_absolute_error: 0.2238, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3189, root_relative_squared_error: 0.6583, scimark_benchmark: 915.2795, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8835, f_measure: 0.8241, kappa: 0.6206, kb_relative_information_score: 55.8212, mean_absolute_error: 0.1843, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8279, predictive_accuracy: 0.828, prior_entropy: 0.9573, recall: 0.828, relative_absolute_error: 0.3921, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.4075, root_relative_squared_error: 0.841, scimark_benchmark: 942.6953, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9298, f_measure: 0.8702, kappa: 0.722, kb_relative_information_score: 65.2043, mean_absolute_error: 0.139, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8702, predictive_accuracy: 0.871, prior_entropy: 0.9573, recall: 0.871, relative_absolute_error: 0.2957, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3189, root_relative_squared_error: 0.6583, scimark_benchmark: 945.6434, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9197, f_measure: 0.8256, kappa: 0.625, kb_relative_information_score: 57.7206, mean_absolute_error: 0.175, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8266, predictive_accuracy: 0.828, prior_entropy: 0.9573, recall: 0.828, relative_absolute_error: 0.3722, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3569, root_relative_squared_error: 0.7367, scimark_benchmark: 923.9763, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4791, kb_relative_information_score: 16.511, mean_absolute_error: 0.3763, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.3889, predictive_accuracy: 0.6237, prior_entropy: 0.9573, recall: 0.6237, relative_absolute_error: 0.8006, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.6135, root_relative_squared_error: 1.2663, scimark_benchmark: 947.0793, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7968, f_measure: 0.8154, kappa: 0.6039, kb_relative_information_score: 55.7555, mean_absolute_error: 0.1828, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8154, predictive_accuracy: 0.8172, prior_entropy: 0.9573, recall: 0.8172, relative_absolute_error: 0.3889, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.4275, root_relative_squared_error: 0.8825, scimark_benchmark: 934.5243, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7833, build_cpu_time: 0.2926, build_memory: 1814701924.043, f_measure: 0.7951, kappa: 0.5623, kb_relative_information_score: 51.395, mean_absolute_error: 0.2043, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.7947, predictive_accuracy: 0.7957, prior_entropy: 0.9573, recall: 0.7957, relative_absolute_error: 0.4346, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.452, root_relative_squared_error: 0.933, scimark_benchmark: 923.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.799, build_cpu_time: 0.122, build_memory: 1261192151.7419, f_measure: 0.7951, kappa: 0.5623, kb_relative_information_score: 51.3372, mean_absolute_error: 0.2043, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.7947, predictive_accuracy: 0.7957, prior_entropy: 0.9573, recall: 0.7957, relative_absolute_error: 0.4347, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.4451, root_relative_squared_error: 0.9188, scimark_benchmark: 947.2691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7983, build_cpu_time: 0.0611, build_memory: 700913782.8817, f_measure: 0.7937, kappa: 0.5573, kb_relative_information_score: 49.8325, mean_absolute_error: 0.2134, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.7935, predictive_accuracy: 0.7957, prior_entropy: 0.9573, recall: 0.7957, relative_absolute_error: 0.454, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.4518, root_relative_squared_error: 0.9326, scimark_benchmark: 926.4124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7835, build_cpu_time: 0.0046, build_memory: 617528088.9462, f_measure: 0.6764, kappa: 0.3, kb_relative_information_score: 29.2972, mean_absolute_error: 0.3155, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.6784, predictive_accuracy: 0.6882, prior_entropy: 0.9573, recall: 0.6882, relative_absolute_error: 0.6713, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.4592, root_relative_squared_error: 0.9478, scimark_benchmark: 943.678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7835, build_cpu_time: 0.0049, build_memory: 102265293.1613, f_measure: 0.6764, kappa: 0.3, kb_relative_information_score: 29.2972, mean_absolute_error: 0.3155, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.6784, predictive_accuracy: 0.6882, prior_entropy: 0.9573, recall: 0.6882, relative_absolute_error: 0.6713, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.4592, root_relative_squared_error: 0.9478, scimark_benchmark: 926.9332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7835, build_cpu_time: 0.0053, build_memory: 707480409.3763, f_measure: 0.6764, kappa: 0.3, kb_relative_information_score: 29.2972, mean_absolute_error: 0.3155, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.6784, predictive_accuracy: 0.6882, prior_entropy: 0.9573, recall: 0.6882, relative_absolute_error: 0.6713, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.4592, root_relative_squared_error: 0.9478, scimark_benchmark: 935.1201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7835, build_cpu_time: 0.0065, build_memory: 562014132.9032, f_measure: 0.6764, kappa: 0.3, kb_relative_information_score: 29.2972, mean_absolute_error: 0.3155, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.6784, predictive_accuracy: 0.6882, prior_entropy: 0.9573, recall: 0.6882, relative_absolute_error: 0.6713, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.4592, root_relative_squared_error: 0.9478, scimark_benchmark: 939.1359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7835, build_cpu_time: 0.0079, build_memory: 1342322315.0108, f_measure: 0.6764, kappa: 0.3, kb_relative_information_score: 29.2972, mean_absolute_error: 0.3155, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.6784, predictive_accuracy: 0.6882, prior_entropy: 0.9573, recall: 0.6882, relative_absolute_error: 0.6713, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.4592, root_relative_squared_error: 0.9478, scimark_benchmark: 916.3022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7791, build_cpu_time: 0.0051, build_memory: 785274494.4516, f_measure: 0.7602, kappa: 0.4844, kb_relative_information_score: 45.3217, mean_absolute_error: 0.2348, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.76, predictive_accuracy: 0.7634, prior_entropy: 0.9573, recall: 0.7634, relative_absolute_error: 0.4995, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.4659, root_relative_squared_error: 0.9617, scimark_benchmark: 907.3828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7791, build_cpu_time: 0.0023, build_memory: 125561960.3441, f_measure: 0.7602, kappa: 0.4844, kb_relative_information_score: 45.3217, mean_absolute_error: 0.2348, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.76, predictive_accuracy: 0.7634, prior_entropy: 0.9573, recall: 0.7634, relative_absolute_error: 0.4995, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.4659, root_relative_squared_error: 0.9617, scimark_benchmark: 926.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7791, build_cpu_time: 0.0019, build_memory: 2335823770.2366, f_measure: 0.7602, kappa: 0.4844, kb_relative_information_score: 45.3217, mean_absolute_error: 0.2348, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.76, predictive_accuracy: 0.7634, prior_entropy: 0.9573, recall: 0.7634, relative_absolute_error: 0.4995, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.4659, root_relative_squared_error: 0.9617, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7791, build_cpu_time: 0.0016, build_memory: 1993181526.5376, f_measure: 0.7602, kappa: 0.4844, kb_relative_information_score: 45.3217, mean_absolute_error: 0.2348, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.76, predictive_accuracy: 0.7634, prior_entropy: 0.9573, recall: 0.7634, relative_absolute_error: 0.4995, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.4659, root_relative_squared_error: 0.9617, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7791, build_cpu_time: 0.001, build_memory: 48781784.2581, f_measure: 0.7602, kappa: 0.4844, kb_relative_information_score: 45.3217, mean_absolute_error: 0.2348, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.76, predictive_accuracy: 0.7634, prior_entropy: 0.9573, recall: 0.7634, relative_absolute_error: 0.4995, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.4659, root_relative_squared_error: 0.9617, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9177, build_cpu_time: 0.0176, build_memory: 90192484.7312, f_measure: 0.8224, kappa: 0.6161, kb_relative_information_score: 40.3815, mean_absolute_error: 0.2814, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8309, predictive_accuracy: 0.828, prior_entropy: 0.9573, recall: 0.828, relative_absolute_error: 0.5986, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.35, root_relative_squared_error: 0.7224, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9177, build_cpu_time: 0.0174, build_memory: 1129066496.3441, f_measure: 0.8224, kappa: 0.6161, kb_relative_information_score: 40.3815, mean_absolute_error: 0.2814, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8309, predictive_accuracy: 0.828, prior_entropy: 0.9573, recall: 0.828, relative_absolute_error: 0.5986, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.35, root_relative_squared_error: 0.7224, scimark_benchmark: 943.8094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9177, build_cpu_time: 0.0267, build_memory: 864000382.2796, f_measure: 0.8224, kappa: 0.6161, kb_relative_information_score: 40.3815, mean_absolute_error: 0.2814, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8309, predictive_accuracy: 0.828, prior_entropy: 0.9573, recall: 0.828, relative_absolute_error: 0.5986, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.35, root_relative_squared_error: 0.7224, scimark_benchmark: 920.6725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9177, build_cpu_time: 0.023, build_memory: 786902854.3656, f_measure: 0.8224, kappa: 0.6161, kb_relative_information_score: 40.3815, mean_absolute_error: 0.2814, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8309, predictive_accuracy: 0.828, prior_entropy: 0.9573, recall: 0.828, relative_absolute_error: 0.5986, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.35, root_relative_squared_error: 0.7224, scimark_benchmark: 940.5537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9177, build_cpu_time: 0.0367, build_memory: 903214113.2903, f_measure: 0.8224, kappa: 0.6161, kb_relative_information_score: 40.3815, mean_absolute_error: 0.2814, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8309, predictive_accuracy: 0.828, prior_entropy: 0.9573, recall: 0.828, relative_absolute_error: 0.5986, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.35, root_relative_squared_error: 0.7224, scimark_benchmark: 915.8564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7451, build_cpu_time: 0.0858, build_memory: 999473990.2796, f_measure: 0.7657, kappa: 0.4931, kb_relative_information_score: 45.3108, mean_absolute_error: 0.2364, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.7735, predictive_accuracy: 0.7742, prior_entropy: 0.9573, recall: 0.7742, relative_absolute_error: 0.5029, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.4775, root_relative_squared_error: 0.9857, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7729, build_cpu_time: 0.0406, build_memory: 877358170.4946, f_measure: 0.7142, kappa: 0.3835, kb_relative_information_score: 37.1108, mean_absolute_error: 0.2746, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.7143, predictive_accuracy: 0.7204, prior_entropy: 0.9573, recall: 0.7204, relative_absolute_error: 0.5843, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.5042, root_relative_squared_error: 1.0408, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.781, build_cpu_time: 0.0217, build_memory: 1350085691.871, f_measure: 0.6922, kappa: 0.3361, kb_relative_information_score: 34.3795, mean_absolute_error: 0.2858, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.6916, predictive_accuracy: 0.6989, prior_entropy: 0.9573, recall: 0.6989, relative_absolute_error: 0.6081, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.517, root_relative_squared_error: 1.0672, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7468, build_cpu_time: 0.0067, build_memory: 929625050.5806, f_measure: 0.6702, kappa: 0.2886, kb_relative_information_score: 29.7485, mean_absolute_error: 0.3107, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.6689, predictive_accuracy: 0.6774, prior_entropy: 0.9573, recall: 0.6774, relative_absolute_error: 0.6609, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.5292, root_relative_squared_error: 1.0923, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7995, build_cpu_time: 0.0037, build_memory: 1130944955.0968, f_measure: 0.6826, kappa: 0.3164, kb_relative_information_score: 36.6777, mean_absolute_error: 0.2787, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.6812, predictive_accuracy: 0.6882, prior_entropy: 0.9573, recall: 0.6882, relative_absolute_error: 0.593, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.4623, root_relative_squared_error: 0.9543, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9355, build_cpu_time: 0.0158, build_memory: 703755978.8387, f_measure: 0.8814, kappa: 0.7466, kb_relative_information_score: 65.3645, mean_absolute_error: 0.1385, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8812, predictive_accuracy: 0.8817, prior_entropy: 0.9573, recall: 0.8817, relative_absolute_error: 0.2947, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3203, root_relative_squared_error: 0.6612, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9079, build_cpu_time: 0.0312, build_memory: 1628088400.086, f_measure: 0.8485, kappa: 0.6756, kb_relative_information_score: 61.8828, mean_absolute_error: 0.1535, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8484, predictive_accuracy: 0.8495, prior_entropy: 0.9573, recall: 0.8495, relative_absolute_error: 0.3266, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3605, root_relative_squared_error: 0.744, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, build_cpu_time: 0.0618, build_memory: 616768936.6022, f_measure: 0.8474, kappa: 0.6719, kb_relative_information_score: 63.8185, mean_absolute_error: 0.1434, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8488, predictive_accuracy: 0.8495, prior_entropy: 0.9573, recall: 0.8495, relative_absolute_error: 0.305, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3529, root_relative_squared_error: 0.7284, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9099, build_cpu_time: 0.1108, build_memory: 1581271766.1075, f_measure: 0.8814, kappa: 0.7466, kb_relative_information_score: 66.9661, mean_absolute_error: 0.1295, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8812, predictive_accuracy: 0.8817, prior_entropy: 0.9573, recall: 0.8817, relative_absolute_error: 0.2756, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3424, root_relative_squared_error: 0.7067, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, build_cpu_time: 0.2072, build_memory: 559401688.6022, f_measure: 0.8806, kappa: 0.7437, kb_relative_information_score: 67.9188, mean_absolute_error: 0.1236, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8814, predictive_accuracy: 0.8817, prior_entropy: 0.9573, recall: 0.8817, relative_absolute_error: 0.2629, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3402, root_relative_squared_error: 0.7023, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9249, build_cpu_time: 0.7294, build_memory: 35492105.9785, f_measure: 0.8925, kappa: 0.7709, kb_relative_information_score: 67.2027, mean_absolute_error: 0.1301, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8925, predictive_accuracy: 0.8925, prior_entropy: 0.9573, recall: 0.8925, relative_absolute_error: 0.2768, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.314, root_relative_squared_error: 0.6482, scimark_benchmark: 899.4388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9692, build_cpu_time: 1.1646, build_memory: 888154479.3978, f_measure: 0.9029, kappa: 0.7927, kb_relative_information_score: 71.5033, mean_absolute_error: 0.1073, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.9029, predictive_accuracy: 0.9032, prior_entropy: 0.9573, recall: 0.9032, relative_absolute_error: 0.2282, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3021, root_relative_squared_error: 0.6237, scimark_benchmark: 946.4503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9399, build_cpu_time: 2.4988, build_memory: 596811569.1183, f_measure: 0.924, kappa: 0.8369, kb_relative_information_score: 77.201, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.9254, predictive_accuracy: 0.9247, prior_entropy: 0.9573, recall: 0.9247, relative_absolute_error: 0.1647, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.266, root_relative_squared_error: 0.5491, scimark_benchmark: 944.3006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9554, build_cpu_time: 5.1095, build_memory: 794712243.4409, f_measure: 0.9464, kappa: 0.8861, kb_relative_information_score: 81.9118, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.9468, predictive_accuracy: 0.9462, prior_entropy: 0.9573, recall: 0.9462, relative_absolute_error: 0.1145, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.2318, root_relative_squared_error: 0.4785, scimark_benchmark: 943.8134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9283, build_cpu_time: 9.9507, build_memory: 1065179417.5484, f_measure: 0.9245, kappa: 0.8387, kb_relative_information_score: 77.5579, mean_absolute_error: 0.0753, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.9245, predictive_accuracy: 0.9247, prior_entropy: 0.9573, recall: 0.9247, relative_absolute_error: 0.1601, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.2743, root_relative_squared_error: 0.5663, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8155, build_cpu_time: 13.0438, build_memory: 437571230.4516, f_measure: 0.8154, kappa: 0.6039, kb_relative_information_score: 56.4541, mean_absolute_error: 0.1784, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8154, predictive_accuracy: 0.8172, prior_entropy: 0.9573, recall: 0.8172, relative_absolute_error: 0.3796, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.4184, root_relative_squared_error: 0.8636, scimark_benchmark: 943.4163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8204, build_cpu_time: 7.2947, build_memory: 1042380418.4086, f_measure: 0.8371, kappa: 0.6505, kb_relative_information_score: 60.634, mean_absolute_error: 0.1582, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8374, predictive_accuracy: 0.8387, prior_entropy: 0.9573, recall: 0.8387, relative_absolute_error: 0.3365, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3949, root_relative_squared_error: 0.8151, scimark_benchmark: 936.1433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8655, build_cpu_time: 3.125, build_memory: 1781908791.4839, f_measure: 0.8167, kappa: 0.6084, kb_relative_information_score: 55.7557, mean_absolute_error: 0.1828, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8163, predictive_accuracy: 0.8172, prior_entropy: 0.9573, recall: 0.8172, relative_absolute_error: 0.3889, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.4271, root_relative_squared_error: 0.8815, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8648, build_cpu_time: 1.6896, build_memory: 145619313.1183, f_measure: 0.8185, kappa: 0.6171, kb_relative_information_score: 55.0848, mean_absolute_error: 0.1861, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8216, predictive_accuracy: 0.8172, prior_entropy: 0.9573, recall: 0.8172, relative_absolute_error: 0.3959, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.4203, root_relative_squared_error: 0.8675, scimark_benchmark: 939.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9042, build_cpu_time: 0.8786, build_memory: 49323465.8925, f_measure: 0.8052, kappa: 0.583, kb_relative_information_score: 53.9089, mean_absolute_error: 0.1913, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8048, predictive_accuracy: 0.8065, prior_entropy: 0.9573, recall: 0.8065, relative_absolute_error: 0.407, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.4306, root_relative_squared_error: 0.8889, scimark_benchmark: 942.5053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8892, build_cpu_time: 0.2522, build_memory: 401697299.0108, f_measure: 0.8485, kappa: 0.6756, kb_relative_information_score: 61.1457, mean_absolute_error: 0.1567, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8484, predictive_accuracy: 0.8495, prior_entropy: 0.9573, recall: 0.8495, relative_absolute_error: 0.3334, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3782, root_relative_squared_error: 0.7806, scimark_benchmark: 933.4498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9212, build_cpu_time: 0.6428, build_memory: 264280506.4946, f_measure: 0.8702, kappa: 0.722, kb_relative_information_score: 66.6178, mean_absolute_error: 0.1299, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8702, predictive_accuracy: 0.871, prior_entropy: 0.9573, recall: 0.871, relative_absolute_error: 0.2764, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3513, root_relative_squared_error: 0.7252, scimark_benchmark: 942.5053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9057, build_cpu_time: 1.2261, build_memory: 215572518.8817, f_measure: 0.8796, kappa: 0.7407, kb_relative_information_score: 68.1381, mean_absolute_error: 0.1228, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8832, predictive_accuracy: 0.8817, prior_entropy: 0.9573, recall: 0.8817, relative_absolute_error: 0.2612, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3427, root_relative_squared_error: 0.7075, scimark_benchmark: 902.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8768, build_cpu_time: 4.4148, build_memory: 835744317.3333, f_measure: 0.8918, kappa: 0.7683, kb_relative_information_score: 71.0155, mean_absolute_error: 0.1075, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.892, predictive_accuracy: 0.8925, prior_entropy: 0.9573, recall: 0.8925, relative_absolute_error: 0.2288, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3279, root_relative_squared_error: 0.6768, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8805, build_cpu_time: 0.0963, build_memory: 427278747.7849, f_measure: 0.8598, kappa: 0.7005, kb_relative_information_score: 63.0413, mean_absolute_error: 0.1491, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8596, predictive_accuracy: 0.8602, prior_entropy: 0.9573, recall: 0.8602, relative_absolute_error: 0.3171, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3659, root_relative_squared_error: 0.7552, scimark_benchmark: 920.7965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8818, build_cpu_time: 0.0567, build_memory: 778392576.7742, f_measure: 0.8598, kappa: 0.7005, kb_relative_information_score: 63.042, mean_absolute_error: 0.1491, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8596, predictive_accuracy: 0.8602, prior_entropy: 0.9573, recall: 0.8602, relative_absolute_error: 0.3171, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3659, root_relative_squared_error: 0.7552, scimark_benchmark: 943.4039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.897, build_cpu_time: 0.0513, build_memory: 889842787.1828, f_measure: 0.8598, kappa: 0.7005, kb_relative_information_score: 62.8415, mean_absolute_error: 0.1494, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8596, predictive_accuracy: 0.8602, prior_entropy: 0.9573, recall: 0.8602, relative_absolute_error: 0.3178, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3645, root_relative_squared_error: 0.7524, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, build_cpu_time: 0.0332, build_memory: 375174462.2796, f_measure: 0.814, kappa: 0.5992, kb_relative_information_score: 54.4975, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8158, predictive_accuracy: 0.8172, prior_entropy: 0.9573, recall: 0.8172, relative_absolute_error: 0.4042, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.4102, root_relative_squared_error: 0.8467, scimark_benchmark: 945.0532,

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