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 letter

Supervised Classification on letter

Task 6 Supervised Classification letter 35039 runs submitted
2 likes downloaded by 2 people , 5 total downloads 0 issues
Visibility: Public
  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_7 study_70 study_73 study_98 study_99 under100k under1m
Issue #Downvotes for this reason By


Metric:

35039 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail run
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.96, kappa: 0.9583, kb_relative_information_score: 19198.0047, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 4.6998, recall: 0.96, relative_absolute_error: 0.0431, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0549, root_relative_squared_error: 0.2855, scimark_benchmark: 924.1494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6363, f_measure: 0.1005, kappa: 0.1502, kb_relative_information_score: 4666.6544, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.0768, predictive_accuracy: 0.1835, prior_entropy: 4.6998, recall: 0.1835, relative_absolute_error: 0.863, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2187, root_relative_squared_error: 1.1371, scimark_benchmark: 923.8873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.507, f_measure: 0.0076, kappa: 0.014, kb_relative_information_score: 814.9256, mean_absolute_error: 0.0729, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.0041, predictive_accuracy: 0.0523, prior_entropy: 4.6998, recall: 0.0523, relative_absolute_error: 0.9857, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.27, root_relative_squared_error: 1.4041, scimark_benchmark: 946.6037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.8966, kappa: 0.892, kb_relative_information_score: 16215.8122, mean_absolute_error: 0.0269, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8993, predictive_accuracy: 0.8962, prior_entropy: 4.6998, recall: 0.8962, relative_absolute_error: 0.3631, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0905, root_relative_squared_error: 0.4707, scimark_benchmark: 946.9147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.899, kappa: 0.8945, kb_relative_information_score: 16406.6702, mean_absolute_error: 0.0253, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9015, predictive_accuracy: 0.8986, prior_entropy: 4.6998, recall: 0.8986, relative_absolute_error: 0.3422, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0889, root_relative_squared_error: 0.4623, scimark_benchmark: 942.8812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9292, f_measure: 0.8639, kappa: 0.8584, kb_relative_information_score: 17242.5355, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8641, predictive_accuracy: 0.8639, prior_entropy: 4.6998, recall: 0.8639, relative_absolute_error: 0.1416, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1023, root_relative_squared_error: 0.5322, scimark_benchmark: 934.7803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.948, kappa: 0.9457, kb_relative_information_score: 18573.7666, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9485, predictive_accuracy: 0.9478, prior_entropy: 4.6998, recall: 0.9478, relative_absolute_error: 0.1531, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0638, root_relative_squared_error: 0.3316, scimark_benchmark: 921.1062,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9586, f_measure: 0.6501, kappa: 0.6414, kb_relative_information_score: 13843.2018, mean_absolute_error: 0.033, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.666, predictive_accuracy: 0.6553, prior_entropy: 4.6998, recall: 0.6553, relative_absolute_error: 0.4464, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.136, root_relative_squared_error: 0.7074, scimark_benchmark: 950.0803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.8237, kappa: 0.8154, kb_relative_information_score: 8743.0195, mean_absolute_error: 0.0628, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8291, predictive_accuracy: 0.8226, prior_entropy: 4.6998, recall: 0.8226, relative_absolute_error: 0.8487, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1644, root_relative_squared_error: 0.8547, scimark_benchmark: 921.6269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9409, kappa: 0.9383, kb_relative_information_score: 18324.8663, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9416, predictive_accuracy: 0.9407, prior_entropy: 4.6998, recall: 0.9407, relative_absolute_error: 0.1786, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0692, root_relative_squared_error: 0.3596, scimark_benchmark: 946.3464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9003, kappa: 0.896, kb_relative_information_score: 17825.6779, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9013, predictive_accuracy: 0.9001, prior_entropy: 4.6998, recall: 0.9001, relative_absolute_error: 0.2104, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0783, root_relative_squared_error: 0.407, scimark_benchmark: 925.8985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9207, f_measure: 0.483, kappa: 0.4791, kb_relative_information_score: 9869.1914, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.4971, predictive_accuracy: 0.4992, prior_entropy: 4.6998, recall: 0.4992, relative_absolute_error: 0.7429, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1596, root_relative_squared_error: 0.8299, scimark_benchmark: 940.0226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.7716, kappa: 0.7643, kb_relative_information_score: 15561.7121, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.793, predictive_accuracy: 0.7734, prior_entropy: 4.6998, recall: 0.7734, relative_absolute_error: 0.2695, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1226, root_relative_squared_error: 0.6375, scimark_benchmark: 945.7328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6512, f_measure: 0.0109, kappa: 0.0329, kb_relative_information_score: 2445.7166, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.0059, predictive_accuracy: 0.0709, prior_entropy: 4.6998, recall: 0.0709, relative_absolute_error: 0.9815, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1905, root_relative_squared_error: 0.9907, scimark_benchmark: 932.5195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6512, f_measure: 0.0109, kappa: 0.0329, kb_relative_information_score: 2445.7166, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.0059, predictive_accuracy: 0.0709, prior_entropy: 4.6998, recall: 0.0709, relative_absolute_error: 0.9815, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1905, root_relative_squared_error: 0.9907, scimark_benchmark: 942.3893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9597, kappa: 0.958, kb_relative_information_score: 18429.9285, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9601, predictive_accuracy: 0.9597, prior_entropy: 4.6998, recall: 0.9597, relative_absolute_error: 0.1781, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0637, root_relative_squared_error: 0.3313, scimark_benchmark: 895.793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9292, f_measure: 0.8639, kappa: 0.8584, kb_relative_information_score: 17242.5355, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8641, predictive_accuracy: 0.8639, prior_entropy: 4.6998, recall: 0.8639, relative_absolute_error: 0.1416, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1023, root_relative_squared_error: 0.5322, scimark_benchmark: 946.0457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, f_measure: 0.0032, kb_relative_information_score: 1.6782, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.0017, predictive_accuracy: 0.0407, prior_entropy: 4.6998, recall: 0.0407, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1923, root_relative_squared_error: 1, scimark_benchmark: 934.7567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5691, f_measure: 0.0857, kappa: 0.1382, kb_relative_information_score: 3222.7949, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.0661, predictive_accuracy: 0.1719, prior_entropy: 4.6998, recall: 0.1719, relative_absolute_error: 0.8613, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2524, root_relative_squared_error: 1.3125, scimark_benchmark: 928.2917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9292, f_measure: 0.8639, kappa: 0.8584, kb_relative_information_score: 17242.5355, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8641, predictive_accuracy: 0.8639, prior_entropy: 4.6998, recall: 0.8639, relative_absolute_error: 0.1416, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1023, root_relative_squared_error: 0.5322, scimark_benchmark: 922.0311,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8863, f_measure: 0.3824, kappa: 0.3905, kb_relative_information_score: 3709.5974, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.6044, predictive_accuracy: 0.4142, prior_entropy: 4.6998, recall: 0.4142, relative_absolute_error: 0.9624, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1872, root_relative_squared_error: 0.9736, scimark_benchmark: 932.5629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6785, f_measure: 0.105, kappa: 0.1517, kb_relative_information_score: 4685.0393, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.101, predictive_accuracy: 0.1848, prior_entropy: 4.6998, recall: 0.1848, relative_absolute_error: 0.8633, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2149, root_relative_squared_error: 1.1176, scimark_benchmark: 926.2141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9207, f_measure: 0.483, kappa: 0.4791, kb_relative_information_score: 9869.1914, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.4971, predictive_accuracy: 0.4992, prior_entropy: 4.6998, recall: 0.4992, relative_absolute_error: 0.7429, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1596, root_relative_squared_error: 0.8299, scimark_benchmark: 942.9722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.7464, kappa: 0.7332, kb_relative_information_score: 15500.9604, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.7594, predictive_accuracy: 0.7435, prior_entropy: 4.6998, recall: 0.7435, relative_absolute_error: 0.3078, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1187, root_relative_squared_error: 0.6173, scimark_benchmark: 947.0111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8437, f_measure: 0.003, kb_relative_information_score: 1011.0861, mean_absolute_error: 0.0732, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.0016, predictive_accuracy: 0.0395, prior_entropy: 4.6998, recall: 0.0395, relative_absolute_error: 0.9894, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2299, root_relative_squared_error: 1.1956, scimark_benchmark: 900.2712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5691, f_measure: 0.0857, kappa: 0.1382, kb_relative_information_score: 3222.7949, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.0661, predictive_accuracy: 0.1719, prior_entropy: 4.6998, recall: 0.1719, relative_absolute_error: 0.8613, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2524, root_relative_squared_error: 1.3125, scimark_benchmark: 927.8655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5691, f_measure: 0.0857, kappa: 0.1382, kb_relative_information_score: 3222.7949, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.0661, predictive_accuracy: 0.1719, prior_entropy: 4.6998, recall: 0.1719, relative_absolute_error: 0.8613, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2524, root_relative_squared_error: 1.3125, scimark_benchmark: 926.383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8458, f_measure: 0.6379, kappa: 0.6267, kb_relative_information_score: 3032.4985, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.6562, predictive_accuracy: 0.6411, prior_entropy: 4.6998, recall: 0.6411, relative_absolute_error: 0.971, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1868, root_relative_squared_error: 0.9715, scimark_benchmark: 928.8994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9554, kappa: 0.9536, kb_relative_information_score: 19213.922, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9556, predictive_accuracy: 0.9554, prior_entropy: 4.6998, recall: 0.9554, relative_absolute_error: 0.0554, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.052, root_relative_squared_error: 0.2702, scimark_benchmark: 914.7562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9729, kappa: 0.9718, kb_relative_information_score: 19459.3363, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9729, predictive_accuracy: 0.9729, prior_entropy: 4.6998, recall: 0.9729, relative_absolute_error: 0.0281, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0453, root_relative_squared_error: 0.2354, scimark_benchmark: 942.1787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.8966, kappa: 0.892, kb_relative_information_score: 16215.8122, mean_absolute_error: 0.0269, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8993, predictive_accuracy: 0.8962, prior_entropy: 4.6998, recall: 0.8962, relative_absolute_error: 0.3631, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0905, root_relative_squared_error: 0.4707, scimark_benchmark: 940.3496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9608, kappa: 0.9593, kb_relative_information_score: 19367.0146, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9609, predictive_accuracy: 0.9609, prior_entropy: 4.6998, recall: 0.9609, relative_absolute_error: 0.0563, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0476, root_relative_squared_error: 0.2477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.96, kappa: 0.9583, kb_relative_information_score: 19198.0047, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 4.6998, recall: 0.96, relative_absolute_error: 0.0431, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0549, root_relative_squared_error: 0.2855, scimark_benchmark: 937.0436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.8948, kappa: 0.8901, kb_relative_information_score: 16150.9319, mean_absolute_error: 0.0273, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8975, predictive_accuracy: 0.8943, prior_entropy: 4.6998, recall: 0.8943, relative_absolute_error: 0.3691, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0913, root_relative_squared_error: 0.4746, scimark_benchmark: 945.5825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9729, kappa: 0.9718, kb_relative_information_score: 19459.3742, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.973, predictive_accuracy: 0.9729, prior_entropy: 4.6998, recall: 0.9729, relative_absolute_error: 0.0281, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0453, root_relative_squared_error: 0.2355, scimark_benchmark: 943.8531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.8245, kappa: 0.8164, kb_relative_information_score: 13186.9449, mean_absolute_error: 0.0359, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8293, predictive_accuracy: 0.8235, prior_entropy: 4.6998, recall: 0.8235, relative_absolute_error: 0.4854, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1344, root_relative_squared_error: 0.6991, scimark_benchmark: 940.9115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7035, f_measure: 0.0196, kappa: 0.0398, kb_relative_information_score: 2438.0656, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.019, predictive_accuracy: 0.0775, prior_entropy: 4.6998, recall: 0.0775, relative_absolute_error: 0.9815, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1905, root_relative_squared_error: 0.9904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9637, kappa: 0.9621, kb_relative_information_score: 19297.2479, mean_absolute_error: 0.0028, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9639, predictive_accuracy: 0.9636, prior_entropy: 4.6998, recall: 0.9636, relative_absolute_error: 0.0378, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0515, root_relative_squared_error: 0.2678, scimark_benchmark: 923.4644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8863, f_measure: 0.3824, kappa: 0.3905, kb_relative_information_score: 3709.5974, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.6044, predictive_accuracy: 0.4142, prior_entropy: 4.6998, recall: 0.4142, relative_absolute_error: 0.9624, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1872, root_relative_squared_error: 0.9736, scimark_benchmark: 945.3591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.932, f_measure: 0.5403, kappa: 0.535, kb_relative_information_score: 10226.2431, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.5634, predictive_accuracy: 0.5529, prior_entropy: 4.6998, recall: 0.5529, relative_absolute_error: 0.7391, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1563, root_relative_squared_error: 0.8125, scimark_benchmark: 940.7364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.8237, kappa: 0.8154, kb_relative_information_score: 8743.0195, mean_absolute_error: 0.0628, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8291, predictive_accuracy: 0.8226, prior_entropy: 4.6998, recall: 0.8226, relative_absolute_error: 0.8487, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1644, root_relative_squared_error: 0.8547, scimark_benchmark: 946.7049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.8274, kappa: 0.8189, kb_relative_information_score: 16219.772, mean_absolute_error: 0.0218, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8348, predictive_accuracy: 0.8259, prior_entropy: 4.6998, recall: 0.8259, relative_absolute_error: 0.2946, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.104, root_relative_squared_error: 0.5407, scimark_benchmark: 943.2867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.957, f_measure: 0.6381, kappa: 0.6271, kb_relative_information_score: 13779.0765, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.6564, predictive_accuracy: 0.6415, prior_entropy: 4.6998, recall: 0.6415, relative_absolute_error: 0.4374, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1384, root_relative_squared_error: 0.7197, scimark_benchmark: 936.1865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.96, kappa: 0.9583, kb_relative_information_score: 19198.0047, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 4.6998, recall: 0.96, relative_absolute_error: 0.0431, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0549, root_relative_squared_error: 0.2855, scimark_benchmark: 921.9721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8863, f_measure: 0.3824, kappa: 0.3905, kb_relative_information_score: 3709.5974, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.6044, predictive_accuracy: 0.4142, prior_entropy: 4.6998, recall: 0.4142, relative_absolute_error: 0.9624, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1872, root_relative_squared_error: 0.9736, scimark_benchmark: 921.8268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8458, f_measure: 0.6379, kappa: 0.6267, kb_relative_information_score: 3032.4985, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.6562, predictive_accuracy: 0.6411, prior_entropy: 4.6998, recall: 0.6411, relative_absolute_error: 0.971, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1868, root_relative_squared_error: 0.9715, scimark_benchmark: 945.9763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.7036, kappa: 0.6913, kb_relative_information_score: 14383.3985, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.7053, predictive_accuracy: 0.7032, prior_entropy: 4.6998, recall: 0.7032, relative_absolute_error: 0.4268, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1257, root_relative_squared_error: 0.6538, scimark_benchmark: 947.7226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9718, kappa: 0.9706, kb_relative_information_score: 19435.3685, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.972, predictive_accuracy: 0.9717, prior_entropy: 4.6998, recall: 0.9717, relative_absolute_error: 0.0294, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0463, root_relative_squared_error: 0.2407, scimark_benchmark: 578.1411,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9292, f_measure: 0.8639, kappa: 0.8584, kb_relative_information_score: 17242.5355, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8641, predictive_accuracy: 0.8639, prior_entropy: 4.6998, recall: 0.8639, relative_absolute_error: 0.1416, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1023, root_relative_squared_error: 0.5322, scimark_benchmark: 912.3879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9658, kappa: 0.9643, kb_relative_information_score: 19341.4323, mean_absolute_error: 0.0027, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.966, predictive_accuracy: 0.9657, prior_entropy: 4.6998, recall: 0.9657, relative_absolute_error: 0.0359, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.05, root_relative_squared_error: 0.2598, scimark_benchmark: 930.3877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.66, f_measure: 0.0252, kappa: 0.0323, kb_relative_information_score: 2445.2725, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.0175, predictive_accuracy: 0.0704, prior_entropy: 4.6998, recall: 0.0704, relative_absolute_error: 0.9814, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1905, root_relative_squared_error: 0.9906, scimark_benchmark: 940.9008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9686, kappa: 0.9673, kb_relative_information_score: 19380.8167, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9687, predictive_accuracy: 0.9686, prior_entropy: 4.6998, recall: 0.9686, relative_absolute_error: 0.0328, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0484, root_relative_squared_error: 0.2514, scimark_benchmark: 941.2882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9684, kappa: 0.9671, kb_relative_information_score: 19375.8505, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9687, predictive_accuracy: 0.9684, prior_entropy: 4.6998, recall: 0.9684, relative_absolute_error: 0.033, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0486, root_relative_squared_error: 0.2529, scimark_benchmark: 945.1898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.8237, kappa: 0.8154, kb_relative_information_score: 8743.0195, mean_absolute_error: 0.0628, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8291, predictive_accuracy: 0.8226, prior_entropy: 4.6998, recall: 0.8226, relative_absolute_error: 0.8487, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1644, root_relative_squared_error: 0.8547, scimark_benchmark: 929.3149,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.96, kappa: 0.9583, kb_relative_information_score: 19198.0047, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 4.6998, recall: 0.96, relative_absolute_error: 0.0431, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0549, root_relative_squared_error: 0.2855, scimark_benchmark: 943.2562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.8622, kappa: 0.856, kb_relative_information_score: 17624.8581, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8641, predictive_accuracy: 0.8616, prior_entropy: 4.6998, recall: 0.8616, relative_absolute_error: 0.1708, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0884, root_relative_squared_error: 0.4597, scimark_benchmark: 947.4193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8863, f_measure: 0.3824, kappa: 0.3905, kb_relative_information_score: 3709.5974, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.6044, predictive_accuracy: 0.4142, prior_entropy: 4.6998, recall: 0.4142, relative_absolute_error: 0.9624, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1872, root_relative_squared_error: 0.9736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9718, kappa: 0.9706, kb_relative_information_score: 19435.3685, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.972, predictive_accuracy: 0.9717, prior_entropy: 4.6998, recall: 0.9717, relative_absolute_error: 0.0294, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0463, root_relative_squared_error: 0.2407, scimark_benchmark: 914.9117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9718, kappa: 0.9706, kb_relative_information_score: 19435.3685, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.972, predictive_accuracy: 0.9717, prior_entropy: 4.6998, recall: 0.9717, relative_absolute_error: 0.0294, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0463, root_relative_squared_error: 0.2407, scimark_benchmark: 945.4879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9507, f_measure: 0.6549, kappa: 0.6319, kb_relative_information_score: 9232.7954, mean_absolute_error: 0.0563, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.6836, predictive_accuracy: 0.6461, prior_entropy: 4.6998, recall: 0.6461, relative_absolute_error: 0.7607, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1557, root_relative_squared_error: 0.8098, scimark_benchmark: 930.3458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9477, kappa: 0.9455, kb_relative_information_score: 18890.8393, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9484, predictive_accuracy: 0.9476, prior_entropy: 4.6998, recall: 0.9476, relative_absolute_error: 0.1269, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0599, root_relative_squared_error: 0.3114, scimark_benchmark: 945.4683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9215, kappa: 0.9183, kb_relative_information_score: 18546.6174, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9217, predictive_accuracy: 0.9214, prior_entropy: 4.6998, recall: 0.9214, relative_absolute_error: 0.0885, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0731, root_relative_squared_error: 0.3802, scimark_benchmark: 939.7221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6168, f_measure: 0.0033, kappa: 0.0001, kb_relative_information_score: 1201.8974, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.0018, predictive_accuracy: 0.0407, prior_entropy: 4.6998, recall: 0.0407, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1933, root_relative_squared_error: 1.0052, scimark_benchmark: 947.5292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6512, f_measure: 0.0109, kappa: 0.0329, kb_relative_information_score: 2445.7166, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.0059, predictive_accuracy: 0.0709, prior_entropy: 4.6998, recall: 0.0709, relative_absolute_error: 0.9815, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1905, root_relative_squared_error: 0.9907, scimark_benchmark: 946.6681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9215, kappa: 0.9183, kb_relative_information_score: 18546.6174, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9217, predictive_accuracy: 0.9214, prior_entropy: 4.6998, recall: 0.9214, relative_absolute_error: 0.0885, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0731, root_relative_squared_error: 0.3802, scimark_benchmark: 943.0513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9216, kappa: 0.9183, kb_relative_information_score: 18547.1273, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9218, predictive_accuracy: 0.9215, prior_entropy: 4.6998, recall: 0.9215, relative_absolute_error: 0.0885, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0731, root_relative_squared_error: 0.38, scimark_benchmark: 944.5164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9148, kappa: 0.9112, kb_relative_information_score: 17868.3212, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9156, predictive_accuracy: 0.9146, prior_entropy: 4.6998, recall: 0.9146, relative_absolute_error: 0.2161, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0759, root_relative_squared_error: 0.3945, scimark_benchmark: 947.7552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9149, kappa: 0.9113, kb_relative_information_score: 17870.4005, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9157, predictive_accuracy: 0.9148, prior_entropy: 4.6998, recall: 0.9148, relative_absolute_error: 0.2162, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0758, root_relative_squared_error: 0.394, scimark_benchmark: 947.5451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.8576, kappa: 0.8512, kb_relative_information_score: 4140.433, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8612, predictive_accuracy: 0.8569, prior_entropy: 4.6998, recall: 0.8569, relative_absolute_error: 0.9614, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.186, root_relative_squared_error: 0.9674, scimark_benchmark: 945.0116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.8576, kappa: 0.8512, kb_relative_information_score: 4140.433, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8612, predictive_accuracy: 0.8569, prior_entropy: 4.6998, recall: 0.8569, relative_absolute_error: 0.9614, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.186, root_relative_squared_error: 0.9674, scimark_benchmark: 946.7987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9216, kappa: 0.9183, kb_relative_information_score: 18547.1273, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9218, predictive_accuracy: 0.9215, prior_entropy: 4.6998, recall: 0.9215, relative_absolute_error: 0.0885, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0731, root_relative_squared_error: 0.38, scimark_benchmark: 912.2323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.8543, kappa: 0.8471, kb_relative_information_score: 4129.4307, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8602, predictive_accuracy: 0.853, prior_entropy: 4.6998, recall: 0.853, relative_absolute_error: 0.9615, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1861, root_relative_squared_error: 0.9677, scimark_benchmark: 943.7497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9216, kappa: 0.9183, kb_relative_information_score: 18547.1273, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9218, predictive_accuracy: 0.9215, prior_entropy: 4.6998, recall: 0.9215, relative_absolute_error: 0.0885, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0731, root_relative_squared_error: 0.38, scimark_benchmark: 948.2037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.8507, kappa: 0.8443, kb_relative_information_score: 4140.9678, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8529, predictive_accuracy: 0.8503, prior_entropy: 4.6998, recall: 0.8503, relative_absolute_error: 0.9614, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.186, root_relative_squared_error: 0.9671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9216, kappa: 0.9183, kb_relative_information_score: 18547.1273, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9218, predictive_accuracy: 0.9215, prior_entropy: 4.6998, recall: 0.9215, relative_absolute_error: 0.0885, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0731, root_relative_squared_error: 0.38, scimark_benchmark: 950.6956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.959, kappa: 0.9573, kb_relative_information_score: 18419.9197, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9593, predictive_accuracy: 0.9589, prior_entropy: 4.6998, recall: 0.9589, relative_absolute_error: 0.1783, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0642, root_relative_squared_error: 0.3338, scimark_benchmark: 947.8178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9216, kappa: 0.9183, kb_relative_information_score: 18547.1273, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9218, predictive_accuracy: 0.9215, prior_entropy: 4.6998, recall: 0.9215, relative_absolute_error: 0.0885, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0731, root_relative_squared_error: 0.38, scimark_benchmark: 947.7302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9216, kappa: 0.9183, kb_relative_information_score: 18547.1273, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9218, predictive_accuracy: 0.9215, prior_entropy: 4.6998, recall: 0.9215, relative_absolute_error: 0.0885, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0731, root_relative_squared_error: 0.38, scimark_benchmark: 947.6392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9215, kappa: 0.9183, kb_relative_information_score: 18546.6174, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9217, predictive_accuracy: 0.9214, prior_entropy: 4.6998, recall: 0.9214, relative_absolute_error: 0.0885, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0731, root_relative_squared_error: 0.3802, scimark_benchmark: 944.8963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9216, kappa: 0.9183, kb_relative_information_score: 18547.1273, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9218, predictive_accuracy: 0.9215, prior_entropy: 4.6998, recall: 0.9215, relative_absolute_error: 0.0885, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0731, root_relative_squared_error: 0.38, scimark_benchmark: 947.3014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9432, kappa: 0.9407, kb_relative_information_score: 18337.9017, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9438, predictive_accuracy: 0.943, prior_entropy: 4.6998, recall: 0.943, relative_absolute_error: 0.1786, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0685, root_relative_squared_error: 0.3563, scimark_benchmark: 947.6666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.8793, kappa: 0.8334, kb_relative_information_score: 3928.4881, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9514, predictive_accuracy: 0.8399, prior_entropy: 4.6998, recall: 0.8399, relative_absolute_error: 0.9641, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1867, root_relative_squared_error: 0.9709, scimark_benchmark: 948.6424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.8793, kappa: 0.8334, kb_relative_information_score: 3928.4881, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9514, predictive_accuracy: 0.8399, prior_entropy: 4.6998, recall: 0.8399, relative_absolute_error: 0.9641, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1867, root_relative_squared_error: 0.9709, scimark_benchmark: 947.5114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9009, kappa: 0.8967, kb_relative_information_score: 17781.3792, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9018, predictive_accuracy: 0.9007, prior_entropy: 4.6998, recall: 0.9007, relative_absolute_error: 0.215, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0787, root_relative_squared_error: 0.4094, scimark_benchmark: 945.5446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9497, kappa: 0.9476, kb_relative_information_score: 19014.7244, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9504, predictive_accuracy: 0.9496, prior_entropy: 4.6998, recall: 0.9496, relative_absolute_error: 0.1117, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0572, root_relative_squared_error: 0.2974, scimark_benchmark: 947.5825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, f_measure: 0.0032, kb_relative_information_score: 1.6782, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.0017, predictive_accuracy: 0.0407, prior_entropy: 4.6998, recall: 0.0407, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1923, root_relative_squared_error: 1, scimark_benchmark: 924.3822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5691, f_measure: 0.0918, kappa: 0.1383, kb_relative_information_score: 3226.6006, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.068, predictive_accuracy: 0.172, prior_entropy: 4.6998, recall: 0.172, relative_absolute_error: 0.8612, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2524, root_relative_squared_error: 1.3124, scimark_benchmark: 945.893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7502, f_measure: 0.1678, kappa: 0.1019, kb_relative_information_score: 1697.8226, mean_absolute_error: 0.0733, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8597, predictive_accuracy: 0.1382, prior_entropy: 4.6998, recall: 0.1382, relative_absolute_error: 0.9914, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.192, root_relative_squared_error: 0.9986, scimark_benchmark: 941.9085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.876, kappa: 0.8708, kb_relative_information_score: 17578.1396, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8765, predictive_accuracy: 0.8758, prior_entropy: 4.6998, recall: 0.8758, relative_absolute_error: 0.1526, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.091, root_relative_squared_error: 0.4732, scimark_benchmark: 940.7159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9215, kappa: 0.9183, kb_relative_information_score: 18546.6174, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9217, predictive_accuracy: 0.9214, prior_entropy: 4.6998, recall: 0.9214, relative_absolute_error: 0.0885, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0731, root_relative_squared_error: 0.3802, scimark_benchmark: 949.0316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9739, f_measure: 0.8314, kappa: 0.8243, kb_relative_information_score: 16801.9052, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8322, predictive_accuracy: 0.8311, prior_entropy: 4.6998, recall: 0.8311, relative_absolute_error: 0.2402, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0994, root_relative_squared_error: 0.5169, scimark_benchmark: 946.2114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.8767, kappa: 0.8717, kb_relative_information_score: 17719.9181, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8771, predictive_accuracy: 0.8766, prior_entropy: 4.6998, recall: 0.8766, relative_absolute_error: 0.2002, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0826, root_relative_squared_error: 0.4296, scimark_benchmark: 944.4852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.906, kappa: 0.9019, kb_relative_information_score: 4190.1445, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9076, predictive_accuracy: 0.9057, prior_entropy: 4.6998, recall: 0.9057, relative_absolute_error: 0.9608, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1859, root_relative_squared_error: 0.9665, scimark_benchmark: 948.4345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.8549, kappa: 0.8489, kb_relative_information_score: 4144.6835, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8565, predictive_accuracy: 0.8547, prior_entropy: 4.6998, recall: 0.8547, relative_absolute_error: 0.9613, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1859, root_relative_squared_error: 0.9668, scimark_benchmark: 947.341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.8605, kappa: 0.8547, kb_relative_information_score: 17392.3212, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8609, predictive_accuracy: 0.8603, prior_entropy: 4.6998, recall: 0.8603, relative_absolute_error: 0.1839, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0924, root_relative_squared_error: 0.4805, scimark_benchmark: 945.2136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9613, kappa: 0.9596, kb_relative_information_score: 4235.0011, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.962, predictive_accuracy: 0.9612, prior_entropy: 4.6998, recall: 0.9612, relative_absolute_error: 0.9603, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1859, root_relative_squared_error: 0.9665, scimark_benchmark: 945.5733,

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