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 waveform-5000

Supervised Classification on waveform-5000

Task 58 Supervised Classification waveform-5000 14815 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • at2 basic OpenML100 study_1 study_107 study_123 study_14 study_41 study_7 study_70 study_73 under100k under1m
Issue #Downvotes for this reason By


Metric:

14815 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: 0.9177, f_measure: 0.832, kappa: 0.7483, kb_relative_information_score: 3813.3837, mean_absolute_error: 0.1178, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8322, predictive_accuracy: 0.8322, prior_entropy: 1.5849, recall: 0.8322, relative_absolute_error: 0.265, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3078, root_relative_squared_error: 0.6529, scimark_benchmark: 919.1673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9522, f_measure: 0.826, kappa: 0.7393, kb_relative_information_score: 3637.8061, mean_absolute_error: 0.1405, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8261, predictive_accuracy: 0.8262, prior_entropy: 1.5849, recall: 0.8262, relative_absolute_error: 0.3161, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2897, root_relative_squared_error: 0.6147, scimark_benchmark: 912.3869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.8641, kappa: 0.7966, kb_relative_information_score: 3654.031, mean_absolute_error: 0.1471, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8648, predictive_accuracy: 0.8644, prior_entropy: 1.5849, recall: 0.8644, relative_absolute_error: 0.3309, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2759, root_relative_squared_error: 0.5854, scimark_benchmark: 942.6693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8263, f_measure: 0.5884, kappa: 0.4727, kb_relative_information_score: 1355.2784, mean_absolute_error: 0.3619, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.6923, predictive_accuracy: 0.6474, prior_entropy: 1.5849, recall: 0.6474, relative_absolute_error: 0.8143, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4079, root_relative_squared_error: 0.8653, scimark_benchmark: 942.7727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9177, f_measure: 0.832, kappa: 0.7483, kb_relative_information_score: 3813.3837, mean_absolute_error: 0.1178, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8322, predictive_accuracy: 0.8322, prior_entropy: 1.5849, recall: 0.8322, relative_absolute_error: 0.265, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3078, root_relative_squared_error: 0.6529, scimark_benchmark: 937.7127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.8399, kappa: 0.7607, kb_relative_information_score: 3411.4828, mean_absolute_error: 0.1735, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.841, predictive_accuracy: 0.8404, prior_entropy: 1.5849, recall: 0.8404, relative_absolute_error: 0.3903, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2756, root_relative_squared_error: 0.5847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9714, f_measure: 0.8664, kappa: 0.7999, kb_relative_information_score: 3769.8799, mean_absolute_error: 0.1337, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.867, predictive_accuracy: 0.8666, prior_entropy: 1.5849, recall: 0.8666, relative_absolute_error: 0.3009, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2496, root_relative_squared_error: 0.5296, scimark_benchmark: 911.2401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9586, f_measure: 0.8381, kappa: 0.7573, kb_relative_information_score: 3886.518, mean_absolute_error: 0.1093, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8381, predictive_accuracy: 0.8382, prior_entropy: 1.5849, recall: 0.8382, relative_absolute_error: 0.2459, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3091, root_relative_squared_error: 0.6556, scimark_benchmark: 935.0973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7992, f_measure: 0.7323, kappa: 0.5986, kb_relative_information_score: 3167.4918, mean_absolute_error: 0.1786, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7322, predictive_accuracy: 0.7324, prior_entropy: 1.5849, recall: 0.7324, relative_absolute_error: 0.4018, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4222, root_relative_squared_error: 0.8957, scimark_benchmark: 945.4786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9124, f_measure: 0.8569, kappa: 0.7855, kb_relative_information_score: 4022.7653, mean_absolute_error: 0.0953, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.857, predictive_accuracy: 0.857, prior_entropy: 1.5849, recall: 0.857, relative_absolute_error: 0.2143, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3063, root_relative_squared_error: 0.6497, scimark_benchmark: 945.6682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8904, f_measure: 0.789, kappa: 0.7014, kb_relative_information_score: 3639.0013, mean_absolute_error: 0.1331, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8342, predictive_accuracy: 0.8006, prior_entropy: 1.5849, recall: 0.8006, relative_absolute_error: 0.2994, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3609, root_relative_squared_error: 0.7656, scimark_benchmark: 934.248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8831, f_measure: 0.7109, kappa: 0.5636, kb_relative_information_score: 2782.8085, mean_absolute_error: 0.2281, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7155, predictive_accuracy: 0.7092, prior_entropy: 1.5849, recall: 0.7092, relative_absolute_error: 0.5133, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3539, root_relative_squared_error: 0.7507, scimark_benchmark: 923.9334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9641, f_measure: 0.8662, kappa: 0.7996, kb_relative_information_score: 2742.3834, mean_absolute_error: 0.2534, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8668, predictive_accuracy: 0.8664, prior_entropy: 1.5849, recall: 0.8664, relative_absolute_error: 0.5703, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3192, root_relative_squared_error: 0.6772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8883, f_measure: 0.7131, kappa: 0.5669, kb_relative_information_score: 1949.2999, mean_absolute_error: 0.3121, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7304, predictive_accuracy: 0.7116, prior_entropy: 1.5849, recall: 0.7116, relative_absolute_error: 0.7023, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3675, root_relative_squared_error: 0.7796, scimark_benchmark: 881.7049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.8641, kappa: 0.7966, kb_relative_information_score: 3654.031, mean_absolute_error: 0.1471, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8648, predictive_accuracy: 0.8644, prior_entropy: 1.5849, recall: 0.8644, relative_absolute_error: 0.3309, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2759, root_relative_squared_error: 0.5854, scimark_benchmark: 919.9195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, f_measure: 0.7338, kappa: 0.6007, kb_relative_information_score: 3178.0689, mean_absolute_error: 0.1775, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7338, predictive_accuracy: 0.7338, prior_entropy: 1.5849, recall: 0.7338, relative_absolute_error: 0.3993, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4213, root_relative_squared_error: 0.8937, scimark_benchmark: 944.0644,
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: 0.9567, f_measure: 0.8308, kappa: 0.7468, kb_relative_information_score: 3404.4618, mean_absolute_error: 0.1725, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8315, predictive_accuracy: 0.8312, prior_entropy: 1.5849, recall: 0.8312, relative_absolute_error: 0.3881, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2821, root_relative_squared_error: 0.5984, scimark_benchmark: 941.6109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9618, f_measure: 0.8536, kappa: 0.7807, kb_relative_information_score: 3987.6112, mean_absolute_error: 0.0994, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8539, predictive_accuracy: 0.8538, prior_entropy: 1.5849, recall: 0.8538, relative_absolute_error: 0.2236, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2971, root_relative_squared_error: 0.6303, scimark_benchmark: 941.2171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.8502, kappa: 0.7756, kb_relative_information_score: 3962.2845, mean_absolute_error: 0.1018, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8504, predictive_accuracy: 0.8504, prior_entropy: 1.5849, recall: 0.8504, relative_absolute_error: 0.2291, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.301, root_relative_squared_error: 0.6386, scimark_benchmark: 936.9949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6503, f_measure: 0.5177, kappa: 0.3013, kb_relative_information_score: 1812.7136, mean_absolute_error: 0.3108, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.5124, predictive_accuracy: 0.5338, prior_entropy: 1.5849, recall: 0.5338, relative_absolute_error: 0.6993, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5575, root_relative_squared_error: 1.1827, scimark_benchmark: 930.1046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9714, f_measure: 0.8659, kappa: 0.799, kb_relative_information_score: 3855.2778, mean_absolute_error: 0.1222, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.866, predictive_accuracy: 0.866, prior_entropy: 1.5849, recall: 0.866, relative_absolute_error: 0.275, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2501, root_relative_squared_error: 0.5306, scimark_benchmark: 935.5368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, f_measure: 0.7338, kappa: 0.6007, kb_relative_information_score: 3178.0689, mean_absolute_error: 0.1775, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7338, predictive_accuracy: 0.7338, prior_entropy: 1.5849, recall: 0.7338, relative_absolute_error: 0.3993, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4213, root_relative_squared_error: 0.8937, scimark_benchmark: 929.4469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9637, f_measure: 0.8412, kappa: 0.7621, kb_relative_information_score: 3865.2469, mean_absolute_error: 0.1141, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8414, predictive_accuracy: 0.8414, prior_entropy: 1.5849, recall: 0.8414, relative_absolute_error: 0.2568, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2864, root_relative_squared_error: 0.6076, scimark_benchmark: 925.2343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9059, f_measure: 0.8541, kappa: 0.7813, kb_relative_information_score: 4000.838, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8541, predictive_accuracy: 0.8542, prior_entropy: 1.5849, recall: 0.8542, relative_absolute_error: 0.2192, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3094, root_relative_squared_error: 0.6563, scimark_benchmark: 909.8523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9416, f_measure: 0.8236, kappa: 0.7357, kb_relative_information_score: 3808.4891, mean_absolute_error: 0.1167, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8237, predictive_accuracy: 0.8238, prior_entropy: 1.5849, recall: 0.8238, relative_absolute_error: 0.2626, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3268, root_relative_squared_error: 0.6932, scimark_benchmark: 846.0994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8497, f_measure: 0.563, kappa: 0.4401, kb_relative_information_score: 1574.8008, mean_absolute_error: 0.3473, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.6956, predictive_accuracy: 0.6256, prior_entropy: 1.5849, recall: 0.6256, relative_absolute_error: 0.7814, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.404, root_relative_squared_error: 0.8571, scimark_benchmark: 947.3688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8241, f_measure: 0.755, kappa: 0.6325, kb_relative_information_score: 3305.3229, mean_absolute_error: 0.166, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.755, predictive_accuracy: 0.755, prior_entropy: 1.5849, recall: 0.755, relative_absolute_error: 0.3735, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3961, root_relative_squared_error: 0.8403, scimark_benchmark: 914.9991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9377, f_measure: 0.8457, kappa: 0.769, kb_relative_information_score: 3948.9799, mean_absolute_error: 0.1026, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8462, predictive_accuracy: 0.846, prior_entropy: 1.5849, recall: 0.846, relative_absolute_error: 0.2309, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3117, root_relative_squared_error: 0.6612, scimark_benchmark: 943.2859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9707, f_measure: 0.8684, kappa: 0.8029, kb_relative_information_score: 3789.7575, mean_absolute_error: 0.1308, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8687, predictive_accuracy: 0.8686, prior_entropy: 1.5849, recall: 0.8686, relative_absolute_error: 0.2943, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.251, root_relative_squared_error: 0.5324, scimark_benchmark: 902.5312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, f_measure: 0.7338, kappa: 0.6007, kb_relative_information_score: 3178.0689, mean_absolute_error: 0.1775, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7338, predictive_accuracy: 0.7338, prior_entropy: 1.5849, recall: 0.7338, relative_absolute_error: 0.3993, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4213, root_relative_squared_error: 0.8937, scimark_benchmark: 940.8796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9427, f_measure: 0.8368, kappa: 0.7555, kb_relative_information_score: 3889.2295, mean_absolute_error: 0.1086, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8372, predictive_accuracy: 0.837, prior_entropy: 1.5849, recall: 0.837, relative_absolute_error: 0.2443, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3171, root_relative_squared_error: 0.6726, scimark_benchmark: 946.0533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.768, f_measure: 0.4681, kappa: 0.3678, kb_relative_information_score: 1371.747, mean_absolute_error: 0.3629, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.5774, predictive_accuracy: 0.577, prior_entropy: 1.5849, recall: 0.577, relative_absolute_error: 0.8166, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4182, root_relative_squared_error: 0.8871, scimark_benchmark: 902.7898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8355, f_measure: 0.6503, kappa: 0.4775, kb_relative_information_score: 1684.4529, mean_absolute_error: 0.3336, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.6499, predictive_accuracy: 0.6516, prior_entropy: 1.5849, recall: 0.6516, relative_absolute_error: 0.7506, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3943, root_relative_squared_error: 0.8364, scimark_benchmark: 920.4027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9663, f_measure: 0.8499, kappa: 0.775, kb_relative_information_score: 3442.7953, mean_absolute_error: 0.1724, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8499, predictive_accuracy: 0.85, prior_entropy: 1.5849, recall: 0.85, relative_absolute_error: 0.388, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2686, root_relative_squared_error: 0.5698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8771, f_measure: 0.6558, kappa: 0.5238, kb_relative_information_score: 1151.6093, mean_absolute_error: 0.3771, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7232, predictive_accuracy: 0.6818, prior_entropy: 1.5849, recall: 0.6818, relative_absolute_error: 0.8486, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4106, root_relative_squared_error: 0.8711, scimark_benchmark: 943.4587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, f_measure: 0.7877, kappa: 0.6999, kb_relative_information_score: 3078.7567, mean_absolute_error: 0.2073, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8336, predictive_accuracy: 0.7996, prior_entropy: 1.5849, recall: 0.7996, relative_absolute_error: 0.4664, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3204, root_relative_squared_error: 0.6797, scimark_benchmark: 927.7733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8967, f_measure: 0.7877, kappa: 0.6999, kb_relative_information_score: 3071.0631, mean_absolute_error: 0.2082, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8336, predictive_accuracy: 0.7996, prior_entropy: 1.5849, recall: 0.7996, relative_absolute_error: 0.4684, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.6802, scimark_benchmark: 940.8079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.8641, kappa: 0.7966, kb_relative_information_score: 3654.031, mean_absolute_error: 0.1471, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8648, predictive_accuracy: 0.8644, prior_entropy: 1.5849, recall: 0.8644, relative_absolute_error: 0.3309, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2759, root_relative_squared_error: 0.5854, scimark_benchmark: 927.9783,
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: 0.9361, f_measure: 0.8445, kappa: 0.7669, kb_relative_information_score: 3938.1506, mean_absolute_error: 0.1038, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8446, predictive_accuracy: 0.8446, prior_entropy: 1.5849, recall: 0.8446, relative_absolute_error: 0.2336, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3122, root_relative_squared_error: 0.6623, scimark_benchmark: 945.8265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8967, f_measure: 0.7316, kappa: 0.5981, kb_relative_information_score: 2547.1443, mean_absolute_error: 0.2569, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7317, predictive_accuracy: 0.732, prior_entropy: 1.5849, recall: 0.732, relative_absolute_error: 0.5782, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3505, root_relative_squared_error: 0.7435, scimark_benchmark: 946.2007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, f_measure: 0.7877, kappa: 0.6999, kb_relative_information_score: 3078.7567, mean_absolute_error: 0.2073, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8336, predictive_accuracy: 0.7996, prior_entropy: 1.5849, recall: 0.7996, relative_absolute_error: 0.4664, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3204, root_relative_squared_error: 0.6797, scimark_benchmark: 935.1386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8367, f_measure: 0.7793, kappa: 0.673, kb_relative_information_score: 3508.5569, mean_absolute_error: 0.1455, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.79, predictive_accuracy: 0.7818, prior_entropy: 1.5849, recall: 0.7818, relative_absolute_error: 0.3273, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3814, root_relative_squared_error: 0.8091, scimark_benchmark: 933.4664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9446, f_measure: 0.7991, kappa: 0.702, kb_relative_information_score: 3511.172, mean_absolute_error: 0.1523, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8078, predictive_accuracy: 0.8012, prior_entropy: 1.5849, recall: 0.8012, relative_absolute_error: 0.3426, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3117, root_relative_squared_error: 0.6612, scimark_benchmark: 948.4564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8016, f_measure: 0.7356, kappa: 0.6034, kb_relative_information_score: 3189.8071, mean_absolute_error: 0.1763, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7356, predictive_accuracy: 0.7356, prior_entropy: 1.5849, recall: 0.7356, relative_absolute_error: 0.3968, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4199, root_relative_squared_error: 0.8907, scimark_benchmark: 945.1186,
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: 0.9613, f_measure: 0.8445, kappa: 0.7669, kb_relative_information_score: 3928.2859, mean_absolute_error: 0.1054, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8445, predictive_accuracy: 0.8446, prior_entropy: 1.5849, recall: 0.8446, relative_absolute_error: 0.2372, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3027, root_relative_squared_error: 0.6421, scimark_benchmark: 932.0647,
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: 0.698, f_measure: 0.4528, kappa: 0.3553, kb_relative_information_score: 1401.979, mean_absolute_error: 0.3635, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.3762, predictive_accuracy: 0.5686, prior_entropy: 1.5849, recall: 0.5686, relative_absolute_error: 0.8179, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4272, root_relative_squared_error: 0.9062, scimark_benchmark: 920.5076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.8641, kappa: 0.7966, kb_relative_information_score: 3654.031, mean_absolute_error: 0.1471, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8648, predictive_accuracy: 0.8644, prior_entropy: 1.5849, recall: 0.8644, relative_absolute_error: 0.3309, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2759, root_relative_squared_error: 0.5854, scimark_benchmark: 930.7883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9547, f_measure: 0.8315, kappa: 0.7474, kb_relative_information_score: 3823.7829, mean_absolute_error: 0.1162, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8315, predictive_accuracy: 0.8316, prior_entropy: 1.5849, recall: 0.8316, relative_absolute_error: 0.2614, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3103, root_relative_squared_error: 0.6582, scimark_benchmark: 944.3203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9602, f_measure: 0.8336, kappa: 0.7514, kb_relative_information_score: 3344.6817, mean_absolute_error: 0.1813, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.835, predictive_accuracy: 0.8342, prior_entropy: 1.5849, recall: 0.8342, relative_absolute_error: 0.4079, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2794, root_relative_squared_error: 0.5927, scimark_benchmark: 949.1453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9161, f_measure: 0.7372, kappa: 0.6061, kb_relative_information_score: 3199.7513, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7372, predictive_accuracy: 0.7374, prior_entropy: 1.5849, recall: 0.7374, relative_absolute_error: 0.405, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3441, root_relative_squared_error: 0.73, scimark_benchmark: 946.8552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9426, f_measure: 0.8376, kappa: 0.757, kb_relative_information_score: 3885.691, mean_absolute_error: 0.1092, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8382, predictive_accuracy: 0.838, prior_entropy: 1.5849, recall: 0.838, relative_absolute_error: 0.2456, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3187, root_relative_squared_error: 0.6761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9579, f_measure: 0.832, kappa: 0.7483, kb_relative_information_score: 3521.2209, mean_absolute_error: 0.1578, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8323, predictive_accuracy: 0.8322, prior_entropy: 1.5849, recall: 0.8322, relative_absolute_error: 0.355, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2781, root_relative_squared_error: 0.59, scimark_benchmark: 933.2295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7992, f_measure: 0.7323, kappa: 0.5986, kb_relative_information_score: 3167.4918, mean_absolute_error: 0.1786, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7322, predictive_accuracy: 0.7324, prior_entropy: 1.5849, recall: 0.7324, relative_absolute_error: 0.4018, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4222, root_relative_squared_error: 0.8957, scimark_benchmark: 937.1896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.1711, kb_relative_information_score: 0.311, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.1145, predictive_accuracy: 0.3384, prior_entropy: 1.5849, recall: 0.3384, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1, scimark_benchmark: 918.8355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.8533, kappa: 0.7811, kb_relative_information_score: 3255.4978, mean_absolute_error: 0.1954, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8559, predictive_accuracy: 0.854, prior_entropy: 1.5849, recall: 0.854, relative_absolute_error: 0.4397, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2774, root_relative_squared_error: 0.5884, scimark_benchmark: 946.465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9231, f_measure: 0.8295, kappa: 0.7447, kb_relative_information_score: 3850.0486, mean_absolute_error: 0.1122, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8299, predictive_accuracy: 0.8298, prior_entropy: 1.5849, recall: 0.8298, relative_absolute_error: 0.2526, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.325, root_relative_squared_error: 0.6894, scimark_benchmark: 944.7578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8771, f_measure: 0.6558, kappa: 0.5238, kb_relative_information_score: 1151.6093, mean_absolute_error: 0.3771, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7232, predictive_accuracy: 0.6818, prior_entropy: 1.5849, recall: 0.6818, relative_absolute_error: 0.8486, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4106, root_relative_squared_error: 0.8711, scimark_benchmark: 945.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8391, f_measure: 0.7667, kappa: 0.6509, kb_relative_information_score: 3124.8777, mean_absolute_error: 0.1938, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7669, predictive_accuracy: 0.7672, prior_entropy: 1.5849, recall: 0.7672, relative_absolute_error: 0.4361, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3708, root_relative_squared_error: 0.7866, scimark_benchmark: 946.7354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8883, f_measure: 0.7131, kappa: 0.5669, kb_relative_information_score: 1949.2999, mean_absolute_error: 0.3121, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7304, predictive_accuracy: 0.7116, prior_entropy: 1.5849, recall: 0.7116, relative_absolute_error: 0.7023, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3675, root_relative_squared_error: 0.7796, scimark_benchmark: 942.9638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, f_measure: 0.7338, kappa: 0.6007, kb_relative_information_score: 3178.0689, mean_absolute_error: 0.1775, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7338, predictive_accuracy: 0.7338, prior_entropy: 1.5849, recall: 0.7338, relative_absolute_error: 0.3993, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4213, root_relative_squared_error: 0.8937, scimark_benchmark: 946.0594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9284, f_measure: 0.8413, kappa: 0.7624, kb_relative_information_score: 3913.9876, mean_absolute_error: 0.1061, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8418, predictive_accuracy: 0.8416, prior_entropy: 1.5849, recall: 0.8416, relative_absolute_error: 0.2387, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3182, root_relative_squared_error: 0.6751, scimark_benchmark: 937.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, f_measure: 0.7877, kappa: 0.6999, kb_relative_information_score: 3078.7567, mean_absolute_error: 0.2073, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8336, predictive_accuracy: 0.7996, prior_entropy: 1.5849, recall: 0.7996, relative_absolute_error: 0.4664, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3204, root_relative_squared_error: 0.6797, scimark_benchmark: 945.2715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9689, f_measure: 0.8554, kappa: 0.7844, kb_relative_information_score: 3254.9929, mean_absolute_error: 0.1956, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8582, predictive_accuracy: 0.8562, prior_entropy: 1.5849, recall: 0.8562, relative_absolute_error: 0.4402, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2771, root_relative_squared_error: 0.5878, scimark_benchmark: 928.1803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, f_measure: 0.7877, kappa: 0.6999, kb_relative_information_score: 3078.7567, mean_absolute_error: 0.2073, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8336, predictive_accuracy: 0.7996, prior_entropy: 1.5849, recall: 0.7996, relative_absolute_error: 0.4664, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3204, root_relative_squared_error: 0.6797, scimark_benchmark: 945.0993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9573, f_measure: 0.8324, kappa: 0.7489, kb_relative_information_score: 3258.1458, mean_absolute_error: 0.1913, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8325, predictive_accuracy: 0.8326, prior_entropy: 1.5849, recall: 0.8326, relative_absolute_error: 0.4305, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.286, root_relative_squared_error: 0.6067, scimark_benchmark: 578.0847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9497, f_measure: 0.8177, kappa: 0.727, kb_relative_information_score: 3349.4077, mean_absolute_error: 0.1767, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8179, predictive_accuracy: 0.818, prior_entropy: 1.5849, recall: 0.818, relative_absolute_error: 0.3975, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2905, root_relative_squared_error: 0.6163, scimark_benchmark: 944.2435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9356, f_measure: 0.7972, kappa: 0.6958, kb_relative_information_score: 3312.3774, mean_absolute_error: 0.1761, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7972, predictive_accuracy: 0.7972, prior_entropy: 1.5849, recall: 0.7972, relative_absolute_error: 0.3962, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3114, root_relative_squared_error: 0.6606, scimark_benchmark: 942.2065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7992, f_measure: 0.7323, kappa: 0.5986, kb_relative_information_score: 3167.4918, mean_absolute_error: 0.1786, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7322, predictive_accuracy: 0.7324, prior_entropy: 1.5849, recall: 0.7324, relative_absolute_error: 0.4018, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4222, root_relative_squared_error: 0.8957, scimark_benchmark: 944.5252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9225, f_measure: 0.7356, kappa: 0.6037, kb_relative_information_score: 3193.4428, mean_absolute_error: 0.1804, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7356, predictive_accuracy: 0.7358, prior_entropy: 1.5849, recall: 0.7358, relative_absolute_error: 0.4059, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3433, root_relative_squared_error: 0.7282, scimark_benchmark: 946.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.8668, kappa: 0.8005, kb_relative_information_score: 2743.0903, mean_absolute_error: 0.2533, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8673, predictive_accuracy: 0.867, prior_entropy: 1.5849, recall: 0.867, relative_absolute_error: 0.5701, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3192, root_relative_squared_error: 0.6772, scimark_benchmark: 945.293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8984, f_measure: 0.8508, kappa: 0.7765, kb_relative_information_score: 3981.4542, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8509, predictive_accuracy: 0.851, prior_entropy: 1.5849, recall: 0.851, relative_absolute_error: 0.2234, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3135, root_relative_squared_error: 0.6651, scimark_benchmark: 943.8071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.8668, kappa: 0.8005, kb_relative_information_score: 2743.0903, mean_absolute_error: 0.2533, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8673, predictive_accuracy: 0.867, prior_entropy: 1.5849, recall: 0.867, relative_absolute_error: 0.5701, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3192, root_relative_squared_error: 0.6772, scimark_benchmark: 945.3815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, f_measure: 0.7877, kappa: 0.6999, kb_relative_information_score: 3078.7567, mean_absolute_error: 0.2073, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8336, predictive_accuracy: 0.7996, prior_entropy: 1.5849, recall: 0.7996, relative_absolute_error: 0.4664, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3204, root_relative_squared_error: 0.6797, scimark_benchmark: 946.5684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.8641, kappa: 0.7966, kb_relative_information_score: 3654.031, mean_absolute_error: 0.1471, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8648, predictive_accuracy: 0.8644, prior_entropy: 1.5849, recall: 0.8644, relative_absolute_error: 0.3309, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2759, root_relative_squared_error: 0.5854, scimark_benchmark: 945.3579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9044, f_measure: 0.8576, kappa: 0.7867, kb_relative_information_score: 4026.2532, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8577, predictive_accuracy: 0.8578, prior_entropy: 1.5849, recall: 0.8578, relative_absolute_error: 0.2136, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3067, root_relative_squared_error: 0.6507, scimark_benchmark: 946.1842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8679, f_measure: 0.7501, kappa: 0.626, kb_relative_information_score: 2966.9265, mean_absolute_error: 0.2098, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7503, predictive_accuracy: 0.7506, prior_entropy: 1.5849, recall: 0.7506, relative_absolute_error: 0.472, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3653, root_relative_squared_error: 0.775, scimark_benchmark: 947.9522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8771, f_measure: 0.6558, kappa: 0.5238, kb_relative_information_score: 1151.6093, mean_absolute_error: 0.3771, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7232, predictive_accuracy: 0.6818, prior_entropy: 1.5849, recall: 0.6818, relative_absolute_error: 0.8486, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4106, root_relative_squared_error: 0.8711, scimark_benchmark: 944.1272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9195, f_measure: 0.8396, kappa: 0.7594, kb_relative_information_score: 2650.2342, mean_absolute_error: 0.2579, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8396, predictive_accuracy: 0.8396, prior_entropy: 1.5849, recall: 0.8396, relative_absolute_error: 0.5803, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3313, root_relative_squared_error: 0.7027, scimark_benchmark: 947.9355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.1711, kb_relative_information_score: 0.311, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.1145, predictive_accuracy: 0.3384, prior_entropy: 1.5849, recall: 0.3384, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1, scimark_benchmark: 911.2426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7946, f_measure: 0.726, kappa: 0.5893, kb_relative_information_score: 3126.3248, mean_absolute_error: 0.1825, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.726, predictive_accuracy: 0.7262, prior_entropy: 1.5849, recall: 0.7262, relative_absolute_error: 0.4107, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4272, root_relative_squared_error: 0.9063, scimark_benchmark: 947.9292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6373, f_measure: 0.5029, kappa: 0.2754, kb_relative_information_score: 1694.5978, mean_absolute_error: 0.3223, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.4974, predictive_accuracy: 0.5166, prior_entropy: 1.5849, recall: 0.5166, relative_absolute_error: 0.7251, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5677, root_relative_squared_error: 1.2043, scimark_benchmark: 925.3578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9045, f_measure: 0.7671, kappa: 0.6515, kb_relative_information_score: 3064.982, mean_absolute_error: 0.2018, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7675, predictive_accuracy: 0.7676, prior_entropy: 1.5849, recall: 0.7676, relative_absolute_error: 0.4541, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3421, root_relative_squared_error: 0.7257, scimark_benchmark: 948.0179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9078, f_measure: 0.7548, kappa: 0.6325, kb_relative_information_score: 3159.0339, mean_absolute_error: 0.1874, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7548, predictive_accuracy: 0.755, prior_entropy: 1.5849, recall: 0.755, relative_absolute_error: 0.4218, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3502, root_relative_squared_error: 0.743, scimark_benchmark: 947.2246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1711, kb_relative_information_score: 450.9915, mean_absolute_error: 0.4427, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.1145, predictive_accuracy: 0.3384, prior_entropy: 1.5849, recall: 0.3384, relative_absolute_error: 0.9962, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5427, root_relative_squared_error: 1.1514, scimark_benchmark: 946.5982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.1711, kb_relative_information_score: 0.311, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.1145, predictive_accuracy: 0.3384, prior_entropy: 1.5849, recall: 0.3384, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1, scimark_benchmark: 948.7084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7037, f_measure: 0.2572, kappa: 0.0643, kb_relative_information_score: 1051.5122, mean_absolute_error: 0.3776, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.717, predictive_accuracy: 0.3806, prior_entropy: 1.5849, recall: 0.3806, relative_absolute_error: 0.8497, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.479, root_relative_squared_error: 1.0162, scimark_benchmark: 948.0242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8771, f_measure: 0.6558, kappa: 0.5238, kb_relative_information_score: 1151.6093, mean_absolute_error: 0.3771, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7232, predictive_accuracy: 0.6818, prior_entropy: 1.5849, recall: 0.6818, relative_absolute_error: 0.8486, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4106, root_relative_squared_error: 0.8711, scimark_benchmark: 947.4728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, f_measure: 0.87, kappa: 0.8053, kb_relative_information_score: 3771.5143, mean_absolute_error: 0.1333, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8703, predictive_accuracy: 0.8702, prior_entropy: 1.5849, recall: 0.8702, relative_absolute_error: 0.2999, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2512, root_relative_squared_error: 0.5329, scimark_benchmark: 946.6964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.894, f_measure: 0.73, kappa: 0.595, kb_relative_information_score: 3144.4668, mean_absolute_error: 0.1817, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7302, predictive_accuracy: 0.73, prior_entropy: 1.5849, recall: 0.73, relative_absolute_error: 0.4089, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4041, root_relative_squared_error: 0.8572, scimark_benchmark: 947.1131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9135, f_measure: 0.8276, kappa: 0.7414, kb_relative_information_score: 2611.5353, mean_absolute_error: 0.2607, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8276, predictive_accuracy: 0.8276, prior_entropy: 1.5849, recall: 0.8276, relative_absolute_error: 0.5865, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3353, root_relative_squared_error: 0.7114, scimark_benchmark: 947.6239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9276, f_measure: 0.859, kappa: 0.7901, kb_relative_information_score: 2715.2167, mean_absolute_error: 0.2534, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8649, predictive_accuracy: 0.86, prior_entropy: 1.5849, recall: 0.86, relative_absolute_error: 0.5701, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.6882, scimark_benchmark: 912.0564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.66, f_measure: 0.503, kappa: 0.3204, kb_relative_information_score: 1898.772, mean_absolute_error: 0.3027, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.5015, predictive_accuracy: 0.546, prior_entropy: 1.5849, recall: 0.546, relative_absolute_error: 0.681, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5502, root_relative_squared_error: 1.1671, scimark_benchmark: 949.7298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9084, f_measure: 0.7763, kappa: 0.6646, kb_relative_information_score: 3206.0951, mean_absolute_error: 0.1809, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7763, predictive_accuracy: 0.7764, prior_entropy: 1.5849, recall: 0.7764, relative_absolute_error: 0.4071, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3279, root_relative_squared_error: 0.6956, scimark_benchmark: 942.8669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9307, f_measure: 0.8636, kappa: 0.7961, kb_relative_information_score: 2727.6759, mean_absolute_error: 0.2524, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.865, predictive_accuracy: 0.864, prior_entropy: 1.5849, recall: 0.864, relative_absolute_error: 0.568, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3229, root_relative_squared_error: 0.6851, scimark_benchmark: 945.7823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9304, f_measure: 0.8621, kappa: 0.7936, kb_relative_information_score: 2722.2116, mean_absolute_error: 0.2528, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.863, predictive_accuracy: 0.8624, prior_entropy: 1.5849, recall: 0.8624, relative_absolute_error: 0.5689, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3236, root_relative_squared_error: 0.6864, scimark_benchmark: 945.5869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9594, f_measure: 0.833, kappa: 0.7505, kb_relative_information_score: 3346.8012, mean_absolute_error: 0.1806, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8343, predictive_accuracy: 0.8336, prior_entropy: 1.5849, recall: 0.8336, relative_absolute_error: 0.4064, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2801, root_relative_squared_error: 0.5942, scimark_benchmark: 940.4044,

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