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 tic-tac-toe

Supervised Classification on tic-tac-toe

Task 49 Supervised Classification tic-tac-toe 112294 runs submitted
0 likes downloaded by 1 people , 1 total downloads 0 issues
Visibility: Public
  • at2 basic mythbusting mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_29 study_30 study_41 study_7 study_70 study_73 study_98 study_99 under100k under1m
Issue #Downvotes for this reason By


Metric:

112294 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: 0.8994, build_cpu_time: 0.0039, build_memory: 196377130.5553, f_measure: 0.8517, kappa: 0.6689, kb_relative_information_score: 599.7473, mean_absolute_error: 0.1681, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8523, predictive_accuracy: 0.8539, prior_entropy: 0.9312, recall: 0.8539, relative_absolute_error: 0.371, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3328, root_relative_squared_error: 0.6993, scimark_benchmark: 948.5428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8994, build_cpu_time: 0.0038, build_memory: 191921126.6973, f_measure: 0.8517, kappa: 0.6689, kb_relative_information_score: 599.7473, mean_absolute_error: 0.1681, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8523, predictive_accuracy: 0.8539, prior_entropy: 0.9312, recall: 0.8539, relative_absolute_error: 0.371, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3328, root_relative_squared_error: 0.6993, scimark_benchmark: 946.0472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6486, f_measure: 0.677, kappa: 0.2736, kb_relative_information_score: 96.9679, mean_absolute_error: 0.4107, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6745, predictive_accuracy: 0.6868, prior_entropy: 0.9312, recall: 0.6868, relative_absolute_error: 0.9066, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4551, root_relative_squared_error: 0.9564, scimark_benchmark: 929.0428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9622, f_measure: 0.8966, kappa: 0.7684, kb_relative_information_score: 712.6637, mean_absolute_error: 0.1141, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8999, predictive_accuracy: 0.8987, prior_entropy: 0.9312, recall: 0.8987, relative_absolute_error: 0.2519, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2839, root_relative_squared_error: 0.5966, scimark_benchmark: 595.1279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9948, kappa: 0.9884, kb_relative_information_score: 946.1986, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9948, predictive_accuracy: 0.9948, prior_entropy: 0.9312, recall: 0.9948, relative_absolute_error: 0.0115, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0722, root_relative_squared_error: 0.1518, scimark_benchmark: 943.9559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.665, f_measure: 0.7002, kappa: 0.34, kb_relative_information_score: 121.788, mean_absolute_error: 0.4005, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7011, predictive_accuracy: 0.6994, prior_entropy: 0.9312, recall: 0.6994, relative_absolute_error: 0.884, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4477, root_relative_squared_error: 0.9409, scimark_benchmark: 595.5058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9906, kappa: 0.9791, kb_relative_information_score: 630.6758, mean_absolute_error: 0.1865, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9907, predictive_accuracy: 0.9906, prior_entropy: 0.9312, recall: 0.9906, relative_absolute_error: 0.4116, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2264, root_relative_squared_error: 0.4757, scimark_benchmark: 597.0027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.749, f_measure: 0.6874, kappa: 0.2982, kb_relative_information_score: 271.5573, mean_absolute_error: 0.3139, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6848, predictive_accuracy: 0.6952, prior_entropy: 0.9312, recall: 0.6952, relative_absolute_error: 0.6928, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9085, kappa: 0.7944, kb_relative_information_score: 526.8957, mean_absolute_error: 0.2267, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9166, predictive_accuracy: 0.9113, prior_entropy: 0.9312, recall: 0.9113, relative_absolute_error: 0.5005, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2852, root_relative_squared_error: 0.5994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.807, f_measure: 0.7002, kappa: 0.34, kb_relative_information_score: 142.411, mean_absolute_error: 0.3907, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7011, predictive_accuracy: 0.6994, prior_entropy: 0.9312, recall: 0.6994, relative_absolute_error: 0.8624, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.438, root_relative_squared_error: 0.9204, scimark_benchmark: 944.1765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7924, f_measure: 0.7886, kappa: 0.537, kb_relative_information_score: 491.0386, mean_absolute_error: 0.2123, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7909, predictive_accuracy: 0.7871, prior_entropy: 0.9312, recall: 0.7871, relative_absolute_error: 0.4687, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4399, root_relative_squared_error: 0.9245, scimark_benchmark: 940.8337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 687.6042, mean_absolute_error: 0.156, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.3444, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1985, root_relative_squared_error: 0.4171, scimark_benchmark: 944.6444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 904.236, mean_absolute_error: 0.0269, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.0595, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1148, root_relative_squared_error: 0.2413, scimark_benchmark: 918.5567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 920.8961, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716, scimark_benchmark: 940.6646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9916, kappa: 0.9815, kb_relative_information_score: 938.9107, mean_absolute_error: 0.0085, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9917, predictive_accuracy: 0.9916, prior_entropy: 0.9312, recall: 0.9916, relative_absolute_error: 0.0189, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0902, root_relative_squared_error: 0.1895, scimark_benchmark: 880.8853,
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: 0.8484, f_measure: 0.7694, kappa: 0.4811, kb_relative_information_score: 351.1022, mean_absolute_error: 0.2882, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7714, predictive_accuracy: 0.7766, prior_entropy: 0.9312, recall: 0.7766, relative_absolute_error: 0.6363, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3826, root_relative_squared_error: 0.804, scimark_benchmark: 947.5603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9948, kappa: 0.9885, kb_relative_information_score: 947.302, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9948, predictive_accuracy: 0.9948, prior_entropy: 0.9312, recall: 0.9948, relative_absolute_error: 0.0102, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0643, root_relative_squared_error: 0.1352, scimark_benchmark: 939.7396,
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: 0.9816, f_measure: 0.9822, kappa: 0.9606, kb_relative_information_score: 918.3829, mean_absolute_error: 0.0179, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9823, predictive_accuracy: 0.9823, prior_entropy: 0.9312, recall: 0.9823, relative_absolute_error: 0.0395, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1333, root_relative_squared_error: 0.28, scimark_benchmark: 911.8443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9445, kappa: 0.8772, kb_relative_information_score: 767.471, mean_absolute_error: 0.0952, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9445, predictive_accuracy: 0.9447, prior_entropy: 0.9312, recall: 0.9447, relative_absolute_error: 0.2102, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2174, root_relative_squared_error: 0.4569, scimark_benchmark: 935.1864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9906, kappa: 0.9791, kb_relative_information_score: 630.6758, mean_absolute_error: 0.1865, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9907, predictive_accuracy: 0.9906, prior_entropy: 0.9312, recall: 0.9906, relative_absolute_error: 0.4116, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2264, root_relative_squared_error: 0.4757, scimark_benchmark: 947.265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8917, f_measure: 0.9093, kappa: 0.7981, kb_relative_information_score: 759.8799, mean_absolute_error: 0.0898, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9099, predictive_accuracy: 0.9102, prior_entropy: 0.9312, recall: 0.9102, relative_absolute_error: 0.1982, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2996, root_relative_squared_error: 0.6296, scimark_benchmark: 943.0262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9473, kappa: 0.8828, kb_relative_information_score: 843.3803, mean_absolute_error: 0.0519, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9482, predictive_accuracy: 0.9478, prior_entropy: 0.9312, recall: 0.9478, relative_absolute_error: 0.1145, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2066, root_relative_squared_error: 0.4342, scimark_benchmark: 938.598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9885, kappa: 0.9746, kb_relative_information_score: 932.3184, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9885, predictive_accuracy: 0.9885, prior_entropy: 0.9312, recall: 0.9885, relative_absolute_error: 0.0256, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1044, root_relative_squared_error: 0.2194, scimark_benchmark: 883.3937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8884, f_measure: 0.7967, kappa: 0.5402, kb_relative_information_score: 368.6974, mean_absolute_error: 0.2884, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8149, predictive_accuracy: 0.809, prior_entropy: 0.9312, recall: 0.809, relative_absolute_error: 0.6367, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3632, root_relative_squared_error: 0.7633, scimark_benchmark: 925.8907,
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: 0.666, f_measure: 0.7002, kappa: 0.34, kb_relative_information_score: 120.3289, mean_absolute_error: 0.4012, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7011, predictive_accuracy: 0.6994, prior_entropy: 0.9312, recall: 0.6994, relative_absolute_error: 0.8856, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4478, root_relative_squared_error: 0.9409, scimark_benchmark: 943.4503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9979, kappa: 0.9954, kb_relative_information_score: 953.8549, mean_absolute_error: 0.0017, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9979, predictive_accuracy: 0.9979, prior_entropy: 0.9312, recall: 0.9979, relative_absolute_error: 0.0037, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0355, root_relative_squared_error: 0.0747, scimark_benchmark: 937.2637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8065, f_measure: 0.7002, kappa: 0.34, kb_relative_information_score: 142.0195, mean_absolute_error: 0.3909, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7011, predictive_accuracy: 0.6994, prior_entropy: 0.9312, recall: 0.6994, relative_absolute_error: 0.8629, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4382, root_relative_squared_error: 0.9209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8698, f_measure: 0.8071, kappa: 0.5706, kb_relative_information_score: 425.5393, mean_absolute_error: 0.251, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8064, predictive_accuracy: 0.809, prior_entropy: 0.9312, recall: 0.809, relative_absolute_error: 0.5541, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3689, root_relative_squared_error: 0.7752, scimark_benchmark: 928.2521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.958, kappa: 0.9069, kb_relative_information_score: 739.292, mean_absolute_error: 0.1145, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9583, predictive_accuracy: 0.9582, prior_entropy: 0.9312, recall: 0.9582, relative_absolute_error: 0.2527, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2082, root_relative_squared_error: 0.4376, scimark_benchmark: 921.778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8754, f_measure: 0.8037, kappa: 0.5644, kb_relative_information_score: 436.1879, mean_absolute_error: 0.2452, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.803, predictive_accuracy: 0.8048, prior_entropy: 0.9312, recall: 0.8048, relative_absolute_error: 0.5412, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3667, root_relative_squared_error: 0.7706, scimark_benchmark: 933.4403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9937, kappa: 0.9861, kb_relative_information_score: 943.052, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9938, predictive_accuracy: 0.9937, prior_entropy: 0.9312, recall: 0.9937, relative_absolute_error: 0.0149, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0774, root_relative_squared_error: 0.1626, scimark_benchmark: 902.3353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8706, f_measure: 0.809, kappa: 0.5731, kb_relative_information_score: 419.3491, mean_absolute_error: 0.2566, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.809, predictive_accuracy: 0.8121, prior_entropy: 0.9312, recall: 0.8121, relative_absolute_error: 0.5665, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3686, root_relative_squared_error: 0.7747, scimark_benchmark: 941.2044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.9213, kappa: 0.8253, kb_relative_information_score: 777.5874, mean_absolute_error: 0.083, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9213, predictive_accuracy: 0.9217, prior_entropy: 0.9312, recall: 0.9217, relative_absolute_error: 0.1832, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2613, root_relative_squared_error: 0.549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9549, kappa: 0.9001, kb_relative_information_score: 836.6424, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.955, predictive_accuracy: 0.9551, prior_entropy: 0.9312, recall: 0.9551, relative_absolute_error: 0.1271, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1844, root_relative_squared_error: 0.3874, scimark_benchmark: 947.3123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7981, f_measure: 0.695, kappa: 0.3101, kb_relative_information_score: 326.1253, mean_absolute_error: 0.2864, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7003, predictive_accuracy: 0.7129, prior_entropy: 0.9312, recall: 0.7129, relative_absolute_error: 0.6323, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4794, root_relative_squared_error: 1.0075, scimark_benchmark: 942.196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9712, f_measure: 0.9645, kappa: 0.9217, kb_relative_information_score: 871.9698, mean_absolute_error: 0.0406, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9646, predictive_accuracy: 0.9645, prior_entropy: 0.9312, recall: 0.9645, relative_absolute_error: 0.0897, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1791, root_relative_squared_error: 0.3763, scimark_benchmark: 940.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9843, kappa: 0.9652, kb_relative_information_score: 923.1963, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9844, predictive_accuracy: 0.9843, prior_entropy: 0.9312, recall: 0.9843, relative_absolute_error: 0.0346, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1251, root_relative_squared_error: 0.2629, scimark_benchmark: 927.0244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7495, f_measure: 0.6895, kappa: 0.2988, kb_relative_information_score: 179.1238, mean_absolute_error: 0.3689, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6901, predictive_accuracy: 0.7035, prior_entropy: 0.9312, recall: 0.7035, relative_absolute_error: 0.8144, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.9029, scimark_benchmark: 936.5655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.977, kappa: 0.9491, kb_relative_information_score: 897.2973, mean_absolute_error: 0.0291, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.977, predictive_accuracy: 0.977, prior_entropy: 0.9312, recall: 0.977, relative_absolute_error: 0.0643, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1295, root_relative_squared_error: 0.2722, scimark_benchmark: 946.979,
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: 0.992, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 690.8585, mean_absolute_error: 0.1544, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.3408, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.4135, scimark_benchmark: 944.8957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9559, kappa: 0.902, kb_relative_information_score: 736.0601, mean_absolute_error: 0.1159, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9563, predictive_accuracy: 0.9562, prior_entropy: 0.9312, recall: 0.9562, relative_absolute_error: 0.2559, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2109, root_relative_squared_error: 0.4432, scimark_benchmark: 932.1384,
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: 0.9973, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 920.8773, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2715, scimark_benchmark: 944.3165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9927, kappa: 0.9838, kb_relative_information_score: 941.6481, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9928, predictive_accuracy: 0.9927, prior_entropy: 0.9312, recall: 0.9927, relative_absolute_error: 0.0161, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0851, root_relative_squared_error: 0.1788, scimark_benchmark: 920.7581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7482, f_measure: 0.6873, kappa: 0.2939, kb_relative_information_score: 179.1304, mean_absolute_error: 0.3693, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6878, predictive_accuracy: 0.7015, prior_entropy: 0.9312, recall: 0.7015, relative_absolute_error: 0.8151, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4294, root_relative_squared_error: 0.9022, scimark_benchmark: 948.8684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9479, kappa: 0.8834, kb_relative_information_score: 625.6499, mean_absolute_error: 0.1807, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9518, predictive_accuracy: 0.9489, prior_entropy: 0.9312, recall: 0.9489, relative_absolute_error: 0.3988, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2388, root_relative_squared_error: 0.5019, scimark_benchmark: 944.812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7152, f_measure: 0.6893, kappa: 0.3044, kb_relative_information_score: 114.5241, mean_absolute_error: 0.4034, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6866, predictive_accuracy: 0.6952, prior_entropy: 0.9312, recall: 0.6952, relative_absolute_error: 0.8905, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4445, root_relative_squared_error: 0.934, scimark_benchmark: 934.7269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8397, f_measure: 0.7732, kappa: 0.4875, kb_relative_information_score: 327.8598, mean_absolute_error: 0.2989, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7837, predictive_accuracy: 0.785, prior_entropy: 0.9312, recall: 0.785, relative_absolute_error: 0.6599, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.385, root_relative_squared_error: 0.809, scimark_benchmark: 908.6783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9865, kappa: 0.9703, kb_relative_information_score: 927.7968, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9869, predictive_accuracy: 0.9864, prior_entropy: 0.9312, recall: 0.9864, relative_absolute_error: 0.03, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1165, root_relative_squared_error: 0.2448, scimark_benchmark: 888.3671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9641, kappa: 0.9202, kb_relative_information_score: 525.9337, mean_absolute_error: 0.2376, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9654, predictive_accuracy: 0.9645, prior_entropy: 0.9312, recall: 0.9645, relative_absolute_error: 0.5245, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2729, root_relative_squared_error: 0.5734, scimark_benchmark: 931.8674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, f_measure: 0.5165, kb_relative_information_score: -0.1639, mean_absolute_error: 0.453, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 942.8722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.908, f_measure: 0.8246, kappa: 0.6064, kb_relative_information_score: 495.1061, mean_absolute_error: 0.222, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8268, predictive_accuracy: 0.8288, prior_entropy: 0.9312, recall: 0.8288, relative_absolute_error: 0.4901, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.34, root_relative_squared_error: 0.7146, scimark_benchmark: 920.9832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9496, kappa: 0.8883, kb_relative_information_score: 846.1605, mean_absolute_error: 0.051, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9498, predictive_accuracy: 0.9499, prior_entropy: 0.9312, recall: 0.9499, relative_absolute_error: 0.1125, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2099, root_relative_squared_error: 0.4411, scimark_benchmark: 883.9178,
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: 0.9972, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 861.9871, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.12, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1253, root_relative_squared_error: 0.2634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9749, kappa: 0.9445, kb_relative_information_score: 899.6717, mean_absolute_error: 0.0273, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9749, predictive_accuracy: 0.9749, prior_entropy: 0.9312, recall: 0.9749, relative_absolute_error: 0.0603, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1336, root_relative_squared_error: 0.2808, scimark_benchmark: 944.4135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.798, f_measure: 0.6874, kappa: 0.2954, kb_relative_information_score: 316.41, mean_absolute_error: 0.2894, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6865, predictive_accuracy: 0.6994, prior_entropy: 0.9312, recall: 0.6994, relative_absolute_error: 0.6388, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4818, root_relative_squared_error: 1.0124, scimark_benchmark: 941.1998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9622, f_measure: 0.8847, kappa: 0.7416, kb_relative_information_score: 679.5012, mean_absolute_error: 0.1335, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8882, predictive_accuracy: 0.8873, prior_entropy: 0.9312, recall: 0.8873, relative_absolute_error: 0.2947, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2679, root_relative_squared_error: 0.563, scimark_benchmark: 944.7321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9299, f_measure: 0.8558, kappa: 0.6779, kb_relative_information_score: 632.0632, mean_absolute_error: 0.151, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8566, predictive_accuracy: 0.858, prior_entropy: 0.9312, recall: 0.858, relative_absolute_error: 0.3334, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.333, root_relative_squared_error: 0.6997, scimark_benchmark: 937.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9895, kappa: 0.9769, kb_relative_information_score: 928.9412, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9896, predictive_accuracy: 0.9896, prior_entropy: 0.9312, recall: 0.9896, relative_absolute_error: 0.0309, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0961, root_relative_squared_error: 0.2019, scimark_benchmark: 940.1629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7924, f_measure: 0.7886, kappa: 0.537, kb_relative_information_score: 491.0386, mean_absolute_error: 0.2123, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7909, predictive_accuracy: 0.7871, prior_entropy: 0.9312, recall: 0.7871, relative_absolute_error: 0.4687, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4399, root_relative_squared_error: 0.9245, scimark_benchmark: 926.5788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9696, kappa: 0.9326, kb_relative_information_score: 886.5883, mean_absolute_error: 0.0326, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9698, predictive_accuracy: 0.9697, prior_entropy: 0.9312, recall: 0.9697, relative_absolute_error: 0.072, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1656, root_relative_squared_error: 0.3481, scimark_benchmark: 939.7153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9811, kappa: 0.9581, kb_relative_information_score: 900.882, mean_absolute_error: 0.0272, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9815, predictive_accuracy: 0.9812, prior_entropy: 0.9312, recall: 0.9812, relative_absolute_error: 0.0601, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.128, root_relative_squared_error: 0.269, scimark_benchmark: 943.2867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7924, f_measure: 0.7886, kappa: 0.537, kb_relative_information_score: 491.0386, mean_absolute_error: 0.2123, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7909, predictive_accuracy: 0.7871, prior_entropy: 0.9312, recall: 0.7871, relative_absolute_error: 0.4687, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4399, root_relative_squared_error: 0.9245, scimark_benchmark: 932.3402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7433, f_measure: 0.6733, kappa: 0.2624, kb_relative_information_score: 269.6515, mean_absolute_error: 0.3141, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6725, predictive_accuracy: 0.6879, prior_entropy: 0.9312, recall: 0.6879, relative_absolute_error: 0.6934, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.49, root_relative_squared_error: 1.0298, scimark_benchmark: 939.3857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9822, kappa: 0.9605, kb_relative_information_score: 914.5397, mean_absolute_error: 0.0202, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9824, predictive_accuracy: 0.9823, prior_entropy: 0.9312, recall: 0.9823, relative_absolute_error: 0.0445, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1201, root_relative_squared_error: 0.2523, scimark_benchmark: 942.5848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8539, f_measure: 0.756, kappa: 0.4479, kb_relative_information_score: 437.8993, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7762, predictive_accuracy: 0.7735, prior_entropy: 0.9312, recall: 0.7735, relative_absolute_error: 0.5262, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4296, root_relative_squared_error: 0.9028, scimark_benchmark: 927.6853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.926, kappa: 0.8338, kb_relative_information_score: 538.3692, mean_absolute_error: 0.2239, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9331, predictive_accuracy: 0.928, prior_entropy: 0.9312, recall: 0.928, relative_absolute_error: 0.4943, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2769, root_relative_squared_error: 0.5819, scimark_benchmark: 946.1978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.977, kappa: 0.9491, kb_relative_information_score: 905.8414, mean_absolute_error: 0.0237, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.977, predictive_accuracy: 0.977, prior_entropy: 0.9312, recall: 0.977, relative_absolute_error: 0.0523, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1437, root_relative_squared_error: 0.302, scimark_benchmark: 946.7155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9801, kappa: 0.9561, kb_relative_information_score: 912.3413, mean_absolute_error: 0.0207, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9802, predictive_accuracy: 0.9802, prior_entropy: 0.9312, recall: 0.9802, relative_absolute_error: 0.0456, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1402, root_relative_squared_error: 0.2947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7708, f_measure: 0.7069, kappa: 0.3405, kb_relative_information_score: 231.9933, mean_absolute_error: 0.3433, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7059, predictive_accuracy: 0.7161, prior_entropy: 0.9312, recall: 0.7161, relative_absolute_error: 0.7578, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4218, root_relative_squared_error: 0.8865, scimark_benchmark: 941.3743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9781, kappa: 0.9516, kb_relative_information_score: 887.3003, mean_absolute_error: 0.0355, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9781, predictive_accuracy: 0.9781, prior_entropy: 0.9312, recall: 0.9781, relative_absolute_error: 0.0784, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1298, root_relative_squared_error: 0.2727, scimark_benchmark: 942.8328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9284, f_measure: 0.8376, kappa: 0.6384, kb_relative_information_score: 337.8334, mean_absolute_error: 0.3073, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8373, predictive_accuracy: 0.8392, prior_entropy: 0.9312, recall: 0.8392, relative_absolute_error: 0.6784, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3561, root_relative_squared_error: 0.7484, scimark_benchmark: 916.944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9895, kappa: 0.9769, kb_relative_information_score: 928.9412, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9896, predictive_accuracy: 0.9896, prior_entropy: 0.9312, recall: 0.9896, relative_absolute_error: 0.0309, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0961, root_relative_squared_error: 0.2019, scimark_benchmark: 942.2352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9769, kappa: 0.9489, kb_relative_information_score: 789.7056, mean_absolute_error: 0.0914, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9772, predictive_accuracy: 0.977, prior_entropy: 0.9312, recall: 0.977, relative_absolute_error: 0.2018, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.173, root_relative_squared_error: 0.3636, scimark_benchmark: 944.734,
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 - 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: 0.6641, f_measure: 0.7002, kappa: 0.34, kb_relative_information_score: 122.5591, mean_absolute_error: 0.4001, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7011, predictive_accuracy: 0.6994, prior_entropy: 0.9312, recall: 0.6994, relative_absolute_error: 0.8832, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4477, root_relative_squared_error: 0.9407, scimark_benchmark: 926.147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9916, kappa: 0.9815, kb_relative_information_score: 938.7791, mean_absolute_error: 0.0086, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9917, predictive_accuracy: 0.9916, prior_entropy: 0.9312, recall: 0.9916, relative_absolute_error: 0.0191, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0892, root_relative_squared_error: 0.1874, scimark_benchmark: 946.2614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9622, f_measure: 0.9446, kappa: 0.8776, kb_relative_information_score: 815.7529, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9446, predictive_accuracy: 0.9447, prior_entropy: 0.9312, recall: 0.9447, relative_absolute_error: 0.1472, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2233, root_relative_squared_error: 0.4693, scimark_benchmark: 942.5958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9291, kappa: 0.8407, kb_relative_information_score: 541.4809, mean_absolute_error: 0.2235, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9372, predictive_accuracy: 0.9311, prior_entropy: 0.9312, recall: 0.9311, relative_absolute_error: 0.4935, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2746, root_relative_squared_error: 0.5771, scimark_benchmark: 921.6323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 920.8961, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716, scimark_benchmark: 940.5938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.9484, kappa: 0.885, kb_relative_information_score: 716.5899, mean_absolute_error: 0.1249, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9493, predictive_accuracy: 0.9489, prior_entropy: 0.9312, recall: 0.9489, relative_absolute_error: 0.2758, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2283, root_relative_squared_error: 0.4798, scimark_benchmark: 883.1156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9906, kappa: 0.9792, kb_relative_information_score: 931.24, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9907, predictive_accuracy: 0.9906, prior_entropy: 0.9312, recall: 0.9906, relative_absolute_error: 0.0286, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0905, root_relative_squared_error: 0.1901, scimark_benchmark: 881.9318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9587, f_measure: 0.8797, kappa: 0.7306, kb_relative_information_score: 648.9627, mean_absolute_error: 0.1494, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8822, predictive_accuracy: 0.882, prior_entropy: 0.9312, recall: 0.882, relative_absolute_error: 0.3299, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2775, root_relative_squared_error: 0.5831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9833, kappa: 0.9629, kb_relative_information_score: 922.3055, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9834, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.0353, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1228, root_relative_squared_error: 0.2581, scimark_benchmark: 945.2103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9958, kappa: 0.9908, kb_relative_information_score: 948.0369, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9959, predictive_accuracy: 0.9958, prior_entropy: 0.9312, recall: 0.9958, relative_absolute_error: 0.0098, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0641, root_relative_squared_error: 0.1346, scimark_benchmark: 944.506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9523, kappa: 0.8935, kb_relative_information_score: 627.2713, mean_absolute_error: 0.1795, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9549, predictive_accuracy: 0.953, prior_entropy: 0.9312, recall: 0.953, relative_absolute_error: 0.3962, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2386, root_relative_squared_error: 0.5014, scimark_benchmark: 946.2957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9937, kappa: 0.9861, kb_relative_information_score: 943.8759, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9938, predictive_accuracy: 0.9937, prior_entropy: 0.9312, recall: 0.9937, relative_absolute_error: 0.0139, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0791, root_relative_squared_error: 0.1663, scimark_benchmark: 934.2133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9874, kappa: 0.9721, kb_relative_information_score: 627.27, mean_absolute_error: 0.1872, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9877, predictive_accuracy: 0.9875, prior_entropy: 0.9312, recall: 0.9875, relative_absolute_error: 0.4133, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2295, root_relative_squared_error: 0.4822, scimark_benchmark: 943.0269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9916, kappa: 0.9815, kb_relative_information_score: 937.5795, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9917, predictive_accuracy: 0.9916, prior_entropy: 0.9312, recall: 0.9916, relative_absolute_error: 0.0207, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0877, root_relative_squared_error: 0.1842, scimark_benchmark: 946.2863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.977, kappa: 0.9491, kb_relative_information_score: 905.8414, mean_absolute_error: 0.0237, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.977, predictive_accuracy: 0.977, prior_entropy: 0.9312, recall: 0.977, relative_absolute_error: 0.0523, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1437, root_relative_squared_error: 0.302, scimark_benchmark: 946.879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9315, f_measure: 0.8479, kappa: 0.6627, kb_relative_information_score: 339.0601, mean_absolute_error: 0.3067, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8475, predictive_accuracy: 0.8486, prior_entropy: 0.9312, recall: 0.8486, relative_absolute_error: 0.677, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3555, root_relative_squared_error: 0.7471, scimark_benchmark: 945.7769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9822, kappa: 0.9604, kb_relative_information_score: 899.8512, mean_absolute_error: 0.0287, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9826, predictive_accuracy: 0.9823, prior_entropy: 0.9312, recall: 0.9823, relative_absolute_error: 0.0634, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1211, root_relative_squared_error: 0.2545, scimark_benchmark: 944.6772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9906, kappa: 0.9792, kb_relative_information_score: 931.1554, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9907, predictive_accuracy: 0.9906, prior_entropy: 0.9312, recall: 0.9906, relative_absolute_error: 0.0288, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0905, root_relative_squared_error: 0.1901, scimark_benchmark: 905.2297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9927, kappa: 0.9838, kb_relative_information_score: 941.8065, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9927, predictive_accuracy: 0.9927, prior_entropy: 0.9312, recall: 0.9927, relative_absolute_error: 0.0158, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0817, root_relative_squared_error: 0.1716, scimark_benchmark: 852.53,

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