DEVELOPMENT...

A PHP Error was encountered

Severity: Warning

Message: fopen(/data/log/sql.log): failed to open stream: Permission denied

Filename: models/Log.php

Line Number: 37

Backtrace:

File: /var/www/openml/openml_OS/models/Log.php
Line: 37
Function: fopen

File: /var/www/openml/openml_OS/core/MY_Database_Read_Model.php
Line: 30
Function: sql

File: /var/www/openml/openml_OS/views/pages/frontend/t/pre.php
Line: 104
Function: query

File: /var/www/openml/openml_OS/helpers/cms_helper.php
Line: 19
Function: view

File: /var/www/openml/openml_OS/controllers/Frontend.php
Line: 85
Function: loadpage

File: /var/www/openml/index.php
Line: 337
Function: require_once

A PHP Error was encountered

Severity: Warning

Message: fopen(/data/log/sql.log): failed to open stream: Permission denied

Filename: models/Log.php

Line Number: 37

Backtrace:

File: /var/www/openml/openml_OS/models/Log.php
Line: 37
Function: fopen

File: /var/www/openml/openml_OS/core/MY_Database_Read_Model.php
Line: 30
Function: sql

File: /var/www/openml/openml_OS/views/pages/frontend/t/pre.php
Line: 124
Function: query

File: /var/www/openml/openml_OS/helpers/cms_helper.php
Line: 19
Function: view

File: /var/www/openml/openml_OS/controllers/Frontend.php
Line: 85
Function: loadpage

File: /var/www/openml/index.php
Line: 337
Function: require_once

A PHP Error was encountered

Severity: Warning

Message: fopen(/data/log/sql.log): failed to open stream: Permission denied

Filename: models/Log.php

Line Number: 37

Backtrace:

File: /var/www/openml/openml_OS/models/Log.php
Line: 37
Function: fopen

File: /var/www/openml/openml_OS/core/MY_Database_Read_Model.php
Line: 30
Function: sql

File: /var/www/openml/openml_OS/views/pages/frontend/t/pre.php
Line: 117
Function: query

File: /var/www/openml/openml_OS/helpers/cms_helper.php
Line: 19
Function: view

File: /var/www/openml/openml_OS/controllers/Frontend.php
Line: 85
Function: loadpage

File: /var/www/openml/index.php
Line: 337
Function: require_once

OpenML
Task
Supervised Classification on 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: 0.9999, 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: 1404.1865, usercpu_time_millis: 90, usercpu_time_millis_testing: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6188, f_measure: 0.6702, kappa: 0.2552, kb_relative_information_score: 265.3303, mean_absolute_error: 0.3142, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6697, predictive_accuracy: 0.6858, prior_entropy: 0.9312, recall: 0.6858, relative_absolute_error: 0.6936, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5605, root_relative_squared_error: 1.1779, scimark_benchmark: 940.3347,
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: 916.5955, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6645, f_measure: 0.7256, kappa: 0.3861, kb_relative_information_score: 435.5474, mean_absolute_error: 0.237, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.804, predictive_accuracy: 0.763, prior_entropy: 0.9312, recall: 0.763, relative_absolute_error: 0.5231, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4868, root_relative_squared_error: 1.0229, scimark_benchmark: 1313.9994, usercpu_time_millis: 480, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 300,
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: 894.7222, usercpu_time_millis: 150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 678.4643, mean_absolute_error: 0.1615, 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: 0.3564, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2021, root_relative_squared_error: 0.4247, scimark_benchmark: 1315.395, usercpu_time_millis: 590, usercpu_time_millis_training: 590,
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: 1250.8301, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9843, kappa: 0.9652, kb_relative_information_score: 798.5042, mean_absolute_error: 0.0924, 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: 0.204, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1438, root_relative_squared_error: 0.3022, scimark_benchmark: 1363.434, usercpu_time_millis: 17270, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 17080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7476, f_measure: 0.6855, kappa: 0.29, kb_relative_information_score: 181.4946, mean_absolute_error: 0.368, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6856, predictive_accuracy: 0.6994, prior_entropy: 0.9312, recall: 0.6994, relative_absolute_error: 0.8122, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4294, root_relative_squared_error: 0.9024, scimark_benchmark: 1363.434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9238, f_measure: 0.8635, kappa: 0.6942, kb_relative_information_score: 570.0037, mean_absolute_error: 0.1907, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.866, predictive_accuracy: 0.8664, prior_entropy: 0.9312, recall: 0.8664, relative_absolute_error: 0.421, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3134, root_relative_squared_error: 0.6586, scimark_benchmark: 1335.4072, usercpu_time_millis: 610, usercpu_time_millis_training: 610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9716, kappa: 0.9369, kb_relative_information_score: 559.5447, mean_absolute_error: 0.2196, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9723, predictive_accuracy: 0.9718, prior_entropy: 0.9312, recall: 0.9718, relative_absolute_error: 0.4848, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2597, root_relative_squared_error: 0.5456, scimark_benchmark: 1346.9602, usercpu_time_millis: 170, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7794, f_measure: 0.7765, kappa: 0.5118, kb_relative_information_score: 469.3797, mean_absolute_error: 0.2217, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7798, predictive_accuracy: 0.7745, prior_entropy: 0.9312, recall: 0.7745, relative_absolute_error: 0.4893, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.453, root_relative_squared_error: 0.9519, scimark_benchmark: 1301.9956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8487, f_measure: 0.7932, kappa: 0.5378, kb_relative_information_score: 440.5752, mean_absolute_error: 0.2435, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7928, predictive_accuracy: 0.7965, prior_entropy: 0.9312, recall: 0.7965, relative_absolute_error: 0.5376, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.7975, scimark_benchmark: 1066.7184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.9454, kappa: 0.879, kb_relative_information_score: 803.9983, mean_absolute_error: 0.0749, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9456, predictive_accuracy: 0.9457, prior_entropy: 0.9312, recall: 0.9457, relative_absolute_error: 0.1653, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2117, root_relative_squared_error: 0.4448, scimark_benchmark: 1327.6929, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8794, f_measure: 0.8914, kappa: 0.76, kb_relative_information_score: 718.4758, mean_absolute_error: 0.1086, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8913, predictive_accuracy: 0.8914, prior_entropy: 0.9312, recall: 0.8914, relative_absolute_error: 0.2396, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3295, root_relative_squared_error: 0.6924, scimark_benchmark: 1294.7826, usercpu_time_millis: 90, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9042, f_measure: 0.8777, kappa: 0.7451, kb_relative_information_score: 681.6721, mean_absolute_error: 0.1253, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.908, predictive_accuracy: 0.8747, prior_entropy: 0.9312, recall: 0.8747, relative_absolute_error: 0.2765, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3539, root_relative_squared_error: 0.7437, scimark_benchmark: 1384.4418, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.9465, kappa: 0.8815, kb_relative_information_score: 824.131, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9466, predictive_accuracy: 0.9468, prior_entropy: 0.9312, recall: 0.9468, relative_absolute_error: 0.1397, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2157, root_relative_squared_error: 0.4532, scimark_benchmark: 1466.6185, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 1384.4418, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6709, f_measure: 0.7002, kappa: 0.34, kb_relative_information_score: 295.2333, mean_absolute_error: 0.3006, 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: 0.6636, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5483, root_relative_squared_error: 1.1522, scimark_benchmark: 1465.2979,
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: 940.3346, usercpu_time_millis: 5710, usercpu_time_millis_training: 5710,
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: 977.6382, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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: 1054.3694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8994, 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: 1054.3694, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8107, f_measure: 0.7111, kappa: 0.3472, kb_relative_information_score: 364.0616, mean_absolute_error: 0.2674, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7149, predictive_accuracy: 0.7255, prior_entropy: 0.9312, recall: 0.7255, relative_absolute_error: 0.5904, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4886, root_relative_squared_error: 1.0267, scimark_benchmark: 945.6434, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8895, f_measure: 0.7512, kappa: 0.4378, kb_relative_information_score: 451.7532, mean_absolute_error: 0.2276, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7596, predictive_accuracy: 0.7641, prior_entropy: 0.9312, recall: 0.7641, relative_absolute_error: 0.5024, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4409, root_relative_squared_error: 0.9264, scimark_benchmark: 945.6434, usercpu_time_millis: 100, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 70,
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: 945.6434, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
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: 911.0478, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.8837, kappa: 0.7394, kb_relative_information_score: 668.7031, mean_absolute_error: 0.1393, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.887, predictive_accuracy: 0.8862, prior_entropy: 0.9312, recall: 0.8862, relative_absolute_error: 0.3075, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2703, root_relative_squared_error: 0.568, scimark_benchmark: 939.7623, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9163, f_measure: 0.7978, kappa: 0.5424, kb_relative_information_score: 529.3994, mean_absolute_error: 0.1965, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8239, predictive_accuracy: 0.8121, prior_entropy: 0.9312, recall: 0.8121, relative_absolute_error: 0.4337, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3768, root_relative_squared_error: 0.7917, scimark_benchmark: 942.1229, usercpu_time_millis: 150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 140,
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: 936.6206, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8288, f_measure: 0.7286, kappa: 0.3864, kb_relative_information_score: 389.7528, mean_absolute_error: 0.2599, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7529, predictive_accuracy: 0.7516, prior_entropy: 0.9312, recall: 0.7516, relative_absolute_error: 0.5738, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4512, root_relative_squared_error: 0.9481, scimark_benchmark: 922.9039, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
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: 939.7623, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.749, 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, scimark_benchmark: 933.8635, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9821, kappa: 0.9603, kb_relative_information_score: 682.4175, mean_absolute_error: 0.1586, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9827, predictive_accuracy: 0.9823, prior_entropy: 0.9312, recall: 0.9823, relative_absolute_error: 0.3501, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2016, root_relative_squared_error: 0.4237, scimark_benchmark: 924.6116, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.902, kappa: 0.7795, kb_relative_information_score: 504.3395, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9103, predictive_accuracy: 0.905, prior_entropy: 0.9312, recall: 0.905, relative_absolute_error: 0.5318, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2901, root_relative_squared_error: 0.6096, scimark_benchmark: 902.4773, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.8165, kappa: 0.5855, kb_relative_information_score: 359.6668, mean_absolute_error: 0.2996, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8301, predictive_accuracy: 0.8257, prior_entropy: 0.9312, recall: 0.8257, relative_absolute_error: 0.6614, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3524, root_relative_squared_error: 0.7406, scimark_benchmark: 910.8389, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8453, f_measure: 0.7562, kappa: 0.4489, kb_relative_information_score: 271.5329, mean_absolute_error: 0.3336, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.766, predictive_accuracy: 0.7693, prior_entropy: 0.9312, recall: 0.7693, relative_absolute_error: 0.7364, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3916, root_relative_squared_error: 0.823, scimark_benchmark: 933.8635, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7997, f_measure: 0.7085, kappa: 0.3413, kb_relative_information_score: 220.1053, mean_absolute_error: 0.3526, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7125, predictive_accuracy: 0.7234, prior_entropy: 0.9312, recall: 0.7234, relative_absolute_error: 0.7784, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4122, root_relative_squared_error: 0.8662, scimark_benchmark: 943.2817, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 938.9865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.979, kappa: 0.9536, kb_relative_information_score: 900.2121, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9792, predictive_accuracy: 0.9791, prior_entropy: 0.9312, recall: 0.9791, relative_absolute_error: 0.0618, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1258, root_relative_squared_error: 0.2644, scimark_benchmark: 938.9865, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7952, f_measure: 0.7056, kappa: 0.334, kb_relative_information_score: 243.8668, mean_absolute_error: 0.3389, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7175, predictive_accuracy: 0.7265, prior_entropy: 0.9312, recall: 0.7265, relative_absolute_error: 0.7482, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4121, root_relative_squared_error: 0.8661, scimark_benchmark: 934.5243, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9266, kappa: 0.8373, kb_relative_information_score: 582.4154, mean_absolute_error: 0.1966, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9266, predictive_accuracy: 0.9269, prior_entropy: 0.9312, recall: 0.9269, relative_absolute_error: 0.434, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2645, root_relative_squared_error: 0.5558, scimark_benchmark: 930.32, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 938.9865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.6887, kappa: 0.2983, kb_relative_information_score: 213.6936, mean_absolute_error: 0.3541, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6877, predictive_accuracy: 0.7004, prior_entropy: 0.9312, recall: 0.7004, relative_absolute_error: 0.7817, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4142, root_relative_squared_error: 0.8704, scimark_benchmark: 941.7954, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5165, kb_relative_information_score: 194.0231, mean_absolute_error: 0.3466, 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: 0.765, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5887, root_relative_squared_error: 1.2371, scimark_benchmark: 929.0255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8994, 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: 918.4924, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9567, kappa: 0.9037, kb_relative_information_score: 276.8895, mean_absolute_error: 0.3545, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.958, predictive_accuracy: 0.9572, prior_entropy: 0.9312, recall: 0.9572, relative_absolute_error: 0.7825, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3626, root_relative_squared_error: 0.762, scimark_benchmark: 929.566, usercpu_time_millis: 380, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9916, kappa: 0.9815, kb_relative_information_score: 940.249, mean_absolute_error: 0.0078, 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: 0.0173, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0846, root_relative_squared_error: 0.1778, scimark_benchmark: 940.2751, usercpu_time_millis: 180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9937, kappa: 0.9861, kb_relative_information_score: 943.0851, mean_absolute_error: 0.0067, 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: 0.0148, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0781, root_relative_squared_error: 0.1641, scimark_benchmark: 911.3823, usercpu_time_millis: 310, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9948, kappa: 0.9884, kb_relative_information_score: 945.7327, mean_absolute_error: 0.0055, 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: 0.0121, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0727, root_relative_squared_error: 0.1528, scimark_benchmark: 1112.8112, usercpu_time_millis: 550, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9895, kappa: 0.9769, kb_relative_information_score: 933.2494, mean_absolute_error: 0.0112, 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: 0.0248, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1007, root_relative_squared_error: 0.2116, scimark_benchmark: 922.8983, usercpu_time_millis: 3580, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 3560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9739, kappa: 0.9424, kb_relative_information_score: 897.724, mean_absolute_error: 0.0277, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9739, predictive_accuracy: 0.9739, prior_entropy: 0.9312, recall: 0.9739, relative_absolute_error: 0.0611, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1466, root_relative_squared_error: 0.308, scimark_benchmark: 917.1386, usercpu_time_millis: 1790, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9654, kappa: 0.9235, kb_relative_information_score: 827.923, mean_absolute_error: 0.068, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9655, predictive_accuracy: 0.9656, prior_entropy: 0.9312, recall: 0.9656, relative_absolute_error: 0.1501, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1639, root_relative_squared_error: 0.3445, scimark_benchmark: 917.7039, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.9111, kappa: 0.8004, kb_relative_information_score: 480.6185, mean_absolute_error: 0.2483, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.917, predictive_accuracy: 0.9134, prior_entropy: 0.9312, recall: 0.9134, relative_absolute_error: 0.5481, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3013, root_relative_squared_error: 0.6332, scimark_benchmark: 945.6434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6645, f_measure: 0.7256, kappa: 0.3861, kb_relative_information_score: 435.5474, mean_absolute_error: 0.237, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.804, predictive_accuracy: 0.763, prior_entropy: 0.9312, recall: 0.763, relative_absolute_error: 0.5231, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4868, root_relative_squared_error: 1.0229, scimark_benchmark: 799.2185, usercpu_time_millis: 530, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 320,
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: 930.7738, usercpu_time_millis: 120, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, build_cpu_time: 3.9844, build_memory: 444184608.8852, f_measure: 0.9811, kappa: 0.9581, kb_relative_information_score: 904.709, mean_absolute_error: 0.025, 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: 0.0553, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1266, root_relative_squared_error: 0.266, scimark_benchmark: 945.1987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, build_cpu_time: 4.3951, build_memory: 874659305.2192, f_measure: 0.9811, kappa: 0.9581, kb_relative_information_score: 903.4104, mean_absolute_error: 0.0256, 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: 0.0566, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.128, root_relative_squared_error: 0.269, scimark_benchmark: 929.9115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, build_cpu_time: 3.8581, build_memory: 614266867.2568, f_measure: 0.9811, kappa: 0.9581, kb_relative_information_score: 902.6775, mean_absolute_error: 0.026, 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: 0.0574, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1283, root_relative_squared_error: 0.2696, scimark_benchmark: 919.6575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, build_cpu_time: 3.114, build_memory: 1479633306.0209, f_measure: 0.9801, kappa: 0.9558, kb_relative_information_score: 900.7017, mean_absolute_error: 0.027, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9804, predictive_accuracy: 0.9802, prior_entropy: 0.9312, recall: 0.9802, relative_absolute_error: 0.0596, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1296, root_relative_squared_error: 0.2724, scimark_benchmark: 916.3022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, build_cpu_time: 1.6551, build_memory: 136497018.4468, 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: 941.7846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, build_cpu_time: 0.0334, build_memory: 64861074.2965, 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: 926.9332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, build_cpu_time: 0.0625, build_memory: 741929786.714, f_measure: 0.9874, kappa: 0.9722, kb_relative_information_score: 920.5141, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9876, predictive_accuracy: 0.9875, prior_entropy: 0.9312, recall: 0.9875, relative_absolute_error: 0.04, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1021, root_relative_squared_error: 0.2145, scimark_benchmark: 935.1201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, build_cpu_time: 0.1293, build_memory: 556263002.238, f_measure: 0.9875, kappa: 0.9723, kb_relative_information_score: 930.2706, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9875, predictive_accuracy: 0.9875, prior_entropy: 0.9312, recall: 0.9875, relative_absolute_error: 0.0274, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1008, root_relative_squared_error: 0.2118, scimark_benchmark: 932.9956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, build_cpu_time: 0.2401, build_memory: 1128102941.8622, 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: 916.3022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, build_cpu_time: 0.6349, build_memory: 158227571.357, 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: 939.9885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7924, build_cpu_time: 0.0051, build_memory: 82325717.2944, 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: 947.5446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7924, build_cpu_time: 0.0053, build_memory: 2267124715.7912, 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: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7924, build_cpu_time: 0.0045, build_memory: 222531952.4509, 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: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7924, build_cpu_time: 0.0024, build_memory: 827242153.8539, 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: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7924, build_cpu_time: 0.0024, build_memory: 486813225.6701, 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: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, build_cpu_time: 0.143, build_memory: 1642750886.4468, f_measure: 0.9758, kappa: 0.9463, kb_relative_information_score: 560.0067, mean_absolute_error: 0.2205, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9764, predictive_accuracy: 0.976, prior_entropy: 0.9312, recall: 0.976, relative_absolute_error: 0.4867, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2581, root_relative_squared_error: 0.5424, scimark_benchmark: 943.8094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, build_cpu_time: 0.1691, build_memory: 1337136836.0334, f_measure: 0.9758, kappa: 0.9463, kb_relative_information_score: 560.0067, mean_absolute_error: 0.2205, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9764, predictive_accuracy: 0.976, prior_entropy: 0.9312, recall: 0.976, relative_absolute_error: 0.4867, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2581, root_relative_squared_error: 0.5424, scimark_benchmark: 924.9295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, build_cpu_time: 0.1036, build_memory: 2193949683.691, f_measure: 0.9758, kappa: 0.9463, kb_relative_information_score: 560.0067, mean_absolute_error: 0.2205, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9764, predictive_accuracy: 0.976, prior_entropy: 0.9312, recall: 0.976, relative_absolute_error: 0.4867, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2581, root_relative_squared_error: 0.5424, scimark_benchmark: 872.1114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, build_cpu_time: 0.1795, build_memory: 1486900718.4885, f_measure: 0.9758, kappa: 0.9463, kb_relative_information_score: 560.0067, mean_absolute_error: 0.2205, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9764, predictive_accuracy: 0.976, prior_entropy: 0.9312, recall: 0.976, relative_absolute_error: 0.4867, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2581, root_relative_squared_error: 0.5424, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, build_cpu_time: 0.1318, build_memory: 1156065899.0146, f_measure: 0.9758, kappa: 0.9463, kb_relative_information_score: 560.0067, mean_absolute_error: 0.2205, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9764, predictive_accuracy: 0.976, prior_entropy: 0.9312, recall: 0.976, relative_absolute_error: 0.4867, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2581, root_relative_squared_error: 0.5424, scimark_benchmark: 937.5757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, build_cpu_time: 0.1703, build_memory: 1420185037.1608, f_measure: 0.9362, kappa: 0.8573, kb_relative_information_score: 642.3093, mean_absolute_error: 0.1697, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9397, predictive_accuracy: 0.9374, prior_entropy: 0.9312, recall: 0.9374, relative_absolute_error: 0.3746, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2405, root_relative_squared_error: 0.5053, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9471, build_cpu_time: 0.1068, build_memory: 294144709.5866, f_measure: 0.8545, kappa: 0.6714, kb_relative_information_score: 477.6117, mean_absolute_error: 0.2426, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8689, predictive_accuracy: 0.8612, prior_entropy: 0.9312, recall: 0.8612, relative_absolute_error: 0.5356, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.6645, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8884, build_cpu_time: 0.036, build_memory: 1818682610.1962, 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: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8399, build_cpu_time: 0.0184, build_memory: 693674995.9499, f_measure: 0.748, kappa: 0.4302, kb_relative_information_score: 295.2468, mean_absolute_error: 0.3181, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7579, predictive_accuracy: 0.762, prior_entropy: 0.9312, recall: 0.762, relative_absolute_error: 0.7023, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3925, root_relative_squared_error: 0.8248, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7989, build_cpu_time: 0.0085, build_memory: 1141908261.7954, f_measure: 0.7144, kappa: 0.3542, kb_relative_information_score: 250.1441, mean_absolute_error: 0.3356, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7212, predictive_accuracy: 0.7307, prior_entropy: 0.9312, recall: 0.7307, relative_absolute_error: 0.7407, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4126, root_relative_squared_error: 0.867, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.908, build_cpu_time: 0.0224, build_memory: 644049832.4676, 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: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9514, build_cpu_time: 0.04, build_memory: 327817561.9457, f_measure: 0.867, kappa: 0.7024, kb_relative_information_score: 620.3183, mean_absolute_error: 0.1634, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8689, predictive_accuracy: 0.8695, prior_entropy: 0.9312, recall: 0.8695, relative_absolute_error: 0.3608, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2881, root_relative_squared_error: 0.6054, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9577, build_cpu_time: 0.056, build_memory: 739114170.2714, f_measure: 0.8766, kappa: 0.7237, kb_relative_information_score: 645.4646, mean_absolute_error: 0.1511, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8788, predictive_accuracy: 0.8789, prior_entropy: 0.9312, recall: 0.8789, relative_absolute_error: 0.3335, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2793, root_relative_squared_error: 0.587, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9587, build_cpu_time: 0.0682, build_memory: 1271343749.8121, 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, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9587, build_cpu_time: 0.0644, build_memory: 1272509170.2881, 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, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9283, build_cpu_time: 9.8298, build_memory: 108533451.0564, f_measure: 0.8667, kappa: 0.7062, kb_relative_information_score: 590.9455, mean_absolute_error: 0.1757, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.867, predictive_accuracy: 0.8664, prior_entropy: 0.9312, recall: 0.8664, relative_absolute_error: 0.3877, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.319, root_relative_squared_error: 0.6703, scimark_benchmark: 872.1114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9674, build_cpu_time: 21.5838, build_memory: 419036333.8205, f_measure: 0.9155, kappa: 0.8134, kb_relative_information_score: 738.1049, mean_absolute_error: 0.1045, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9155, predictive_accuracy: 0.9154, prior_entropy: 0.9312, recall: 0.9154, relative_absolute_error: 0.2306, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2573, root_relative_squared_error: 0.5407, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, build_cpu_time: 42.2928, build_memory: 993876051.9833, f_measure: 0.9499, kappa: 0.8894, kb_relative_information_score: 835.3726, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9499, predictive_accuracy: 0.9499, prior_entropy: 0.9312, recall: 0.9499, relative_absolute_error: 0.1268, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.204, root_relative_squared_error: 0.4287, scimark_benchmark: 939.8137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, build_cpu_time: 93.6447, build_memory: 204287521.6701, f_measure: 0.9707, kappa: 0.935, kb_relative_information_score: 889.4199, mean_absolute_error: 0.0314, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9708, predictive_accuracy: 0.9708, prior_entropy: 0.9312, recall: 0.9708, relative_absolute_error: 0.0693, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1596, root_relative_squared_error: 0.3355, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, build_cpu_time: 178.1893, build_memory: 60490132.6848, f_measure: 0.9812, kappa: 0.9583, kb_relative_information_score: 913.5288, mean_absolute_error: 0.0202, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9813, predictive_accuracy: 0.9812, prior_entropy: 0.9312, recall: 0.9812, relative_absolute_error: 0.0445, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1347, root_relative_squared_error: 0.2831, scimark_benchmark: 942.5873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, build_cpu_time: 393.6352, build_memory: 2054998148.785, f_measure: 0.9832, kappa: 0.9629, kb_relative_information_score: 920.907, mean_absolute_error: 0.0167, 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: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2715, scimark_benchmark: 942.0692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, build_cpu_time: 198.6112, build_memory: 2670187208.4843, f_measure: 0.9853, kappa: 0.9675, kb_relative_information_score: 924.7796, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9855, predictive_accuracy: 0.9854, prior_entropy: 0.9312, recall: 0.9854, relative_absolute_error: 0.033, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.121, root_relative_squared_error: 0.2542, scimark_benchmark: 931.9671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, build_cpu_time: 48.7537, build_memory: 96795605.1942, f_measure: 0.9791, kappa: 0.9536, kb_relative_information_score: 909.5386, mean_absolute_error: 0.0219, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9792, predictive_accuracy: 0.9791, prior_entropy: 0.9312, recall: 0.9791, relative_absolute_error: 0.0483, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1406, root_relative_squared_error: 0.2955, scimark_benchmark: 942.0692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, build_cpu_time: 26.5181, build_memory: 306124570.3299, f_measure: 0.9759, kappa: 0.9468, kb_relative_information_score: 899.9207, mean_absolute_error: 0.0263, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.976, predictive_accuracy: 0.976, prior_entropy: 0.9312, recall: 0.976, relative_absolute_error: 0.058, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1502, root_relative_squared_error: 0.3156, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, build_cpu_time: 1.2368, build_memory: 1102887806.5136, 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: 937.6343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, build_cpu_time: 2.1446, build_memory: 158595402.5971, 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: 937.9603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, build_cpu_time: 8.6078, build_memory: 122306418.6806, f_measure: 0.9969, kappa: 0.9931, kb_relative_information_score: 949.2612, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9969, predictive_accuracy: 0.9969, prior_entropy: 0.9312, recall: 0.9969, relative_absolute_error: 0.0091, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0519, root_relative_squared_error: 0.109, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 15.9608, build_memory: 571374893.3612, 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: 937.9603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, build_cpu_time: 0.8267, build_memory: 1170901006.2547, 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: 913.3372,

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