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 profb

Supervised Classification on profb

Task 3561 Supervised Classification profb 13173 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 under100k under1m
Issue #Downvotes for this reason By


Metric:

13173 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: 0.4345, f_measure: 0.4971, kappa: -0.1377, kb_relative_information_score: -108.1473, mean_absolute_error: 0.4896, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.4943, predictive_accuracy: 0.5, prior_entropy: 0.9188, recall: 0.5, relative_absolute_error: 1.1012, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5655, root_relative_squared_error: 1.1996, scimark_benchmark: 854.5188, usercpu_time_millis: 120, usercpu_time_millis_testing: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7143, f_measure: 0.712, kappa: 0.3914, kb_relative_information_score: 201.8883, mean_absolute_error: 0.2961, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7421, predictive_accuracy: 0.7039, prior_entropy: 0.9188, recall: 0.7039, relative_absolute_error: 0.666, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5442, root_relative_squared_error: 1.1544, scimark_benchmark: 940.3347, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5333, kb_relative_information_score: 142.8743, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.4444, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.7497, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2247, scimark_benchmark: 887.6719, usercpu_time_millis: 410, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6406, f_measure: 0.6994, kappa: 0.3055, kb_relative_information_score: 220.7727, mean_absolute_error: 0.2842, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.701, predictive_accuracy: 0.7158, prior_entropy: 0.9188, recall: 0.7158, relative_absolute_error: 0.6393, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5331, root_relative_squared_error: 1.1309, scimark_benchmark: 1386.5717, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7566, f_measure: 0.7315, kappa: 0.3814, kb_relative_information_score: 141.5846, mean_absolute_error: 0.3503, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7324, predictive_accuracy: 0.7426, prior_entropy: 0.9188, recall: 0.7426, relative_absolute_error: 0.788, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4272, root_relative_squared_error: 0.9062, scimark_benchmark: 938.343, usercpu_time_millis: 560, usercpu_time_millis_training: 560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.548, f_measure: 0.6073, kappa: 0.1004, kb_relative_information_score: 64.9759, mean_absolute_error: 0.3824, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.601, predictive_accuracy: 0.6176, prior_entropy: 0.9188, recall: 0.6176, relative_absolute_error: 0.8602, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6184, root_relative_squared_error: 1.3119, scimark_benchmark: 1331.6907, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6405, f_measure: 0.6095, kappa: 0.0992, kb_relative_information_score: 40.4096, mean_absolute_error: 0.4139, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6151, predictive_accuracy: 0.6577, prior_entropy: 0.9188, recall: 0.6577, relative_absolute_error: 0.9309, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4619, root_relative_squared_error: 0.9798, scimark_benchmark: 1325.2092, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5985, f_measure: 0.6064, kappa: 0.0903, kb_relative_information_score: 44.194, mean_absolute_error: 0.4073, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.607, predictive_accuracy: 0.6503, prior_entropy: 0.9188, recall: 0.6503, relative_absolute_error: 0.9161, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4833, root_relative_squared_error: 1.0253, scimark_benchmark: 1319.6463, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5421, f_measure: 0.5612, kappa: -0.013, kb_relative_information_score: -11.5406, mean_absolute_error: 0.4397, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.548, predictive_accuracy: 0.6131, prior_entropy: 0.9188, recall: 0.6131, relative_absolute_error: 0.989, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4864, root_relative_squared_error: 1.0319, scimark_benchmark: 1280.6952, usercpu_time_millis: 120, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4975, f_measure: 0.5569, kappa: -0.0115, kb_relative_information_score: -48.2698, mean_absolute_error: 0.4545, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5504, predictive_accuracy: 0.5655, prior_entropy: 0.9188, recall: 0.5655, relative_absolute_error: 1.0223, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6217, root_relative_squared_error: 1.3189, scimark_benchmark: 1315.3881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5615, f_measure: 0.5699, kappa: 0.0456, kb_relative_information_score: 8.1134, mean_absolute_error: 0.4363, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6224, predictive_accuracy: 0.6682, prior_entropy: 0.9188, recall: 0.6682, relative_absolute_error: 0.9813, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4748, root_relative_squared_error: 1.0072, scimark_benchmark: 1306.6379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6073, f_measure: 0.6389, kappa: 0.1669, kb_relative_information_score: 62.993, mean_absolute_error: 0.4035, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6551, predictive_accuracy: 0.683, prior_entropy: 0.9188, recall: 0.683, relative_absolute_error: 0.9076, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4765, root_relative_squared_error: 1.0109, scimark_benchmark: 1376.7478, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5067, f_measure: 0.5613, kappa: 0.0134, kb_relative_information_score: -24.7254, mean_absolute_error: 0.439, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5615, predictive_accuracy: 0.561, prior_entropy: 0.9188, recall: 0.561, relative_absolute_error: 0.9874, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6626, root_relative_squared_error: 1.4055, scimark_benchmark: 1425.1294, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6502, f_measure: 0.7043, kappa: 0.3272, kb_relative_information_score: 202.9924, mean_absolute_error: 0.2974, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7018, predictive_accuracy: 0.7083, prior_entropy: 0.9188, recall: 0.7083, relative_absolute_error: 0.6689, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5293, root_relative_squared_error: 1.1227, scimark_benchmark: 868.2731, usercpu_time_millis: 203770, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 203560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5301, f_measure: 0.5975, kappa: 0.0695, kb_relative_information_score: 102.7448, mean_absolute_error: 0.3586, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5947, predictive_accuracy: 0.6414, prior_entropy: 0.9188, recall: 0.6414, relative_absolute_error: 0.8066, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5989, root_relative_squared_error: 1.2704, scimark_benchmark: 1339.4189, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5906, f_measure: 0.6491, kappa: 0.1891, kb_relative_information_score: 66.0186, mean_absolute_error: 0.3939, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6456, predictive_accuracy: 0.6682, prior_entropy: 0.9188, recall: 0.6682, relative_absolute_error: 0.886, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5007, root_relative_squared_error: 1.0622, scimark_benchmark: 1339.4189, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5078, f_measure: 0.5619, kappa: 0.0197, kb_relative_information_score: 123.9898, mean_absolute_error: 0.3452, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5785, predictive_accuracy: 0.6548, prior_entropy: 0.9188, recall: 0.6548, relative_absolute_error: 0.7765, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5876, root_relative_squared_error: 1.2464, scimark_benchmark: 1351.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5379, f_measure: 0.6003, kappa: 0.0934, kb_relative_information_score: 152.3165, mean_absolute_error: 0.3274, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6353, predictive_accuracy: 0.6726, prior_entropy: 0.9188, recall: 0.6726, relative_absolute_error: 0.7363, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5722, root_relative_squared_error: 1.2138, scimark_benchmark: 1505.597, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, f_measure: 0.5333, kb_relative_information_score: -0.2372, mean_absolute_error: 0.4446, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.4444, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1, scimark_benchmark: 1353.5686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5665, f_measure: 0.6299, kappa: 0.1429, kb_relative_information_score: 57.0705, mean_absolute_error: 0.4068, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.629, predictive_accuracy: 0.6607, prior_entropy: 0.9188, recall: 0.6607, relative_absolute_error: 0.9151, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4954, root_relative_squared_error: 1.0509, scimark_benchmark: 1384.4418, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7406, f_measure: 0.7238, kappa: 0.3695, kb_relative_information_score: 207.9418, mean_absolute_error: 0.2981, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7216, predictive_accuracy: 0.7292, prior_entropy: 0.9188, recall: 0.7292, relative_absolute_error: 0.6705, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4623, root_relative_squared_error: 0.9806, scimark_benchmark: 942.6953, usercpu_time_millis: 220, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7251, f_measure: 0.7048, kappa: 0.3268, kb_relative_information_score: 167.8357, mean_absolute_error: 0.3266, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7021, predictive_accuracy: 0.7098, prior_entropy: 0.9188, recall: 0.7098, relative_absolute_error: 0.7346, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4574, root_relative_squared_error: 0.9702, scimark_benchmark: 926.6717, usercpu_time_millis: 90, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7251, f_measure: 0.7048, kappa: 0.3268, kb_relative_information_score: 167.8357, mean_absolute_error: 0.3266, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7021, predictive_accuracy: 0.7098, prior_entropy: 0.9188, recall: 0.7098, relative_absolute_error: 0.7346, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4574, root_relative_squared_error: 0.9702, scimark_benchmark: 936.7115, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.653, f_measure: 0.5565, kappa: 0.0231, kb_relative_information_score: 132.7974, mean_absolute_error: 0.3434, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5987, predictive_accuracy: 0.6637, prior_entropy: 0.9188, recall: 0.6637, relative_absolute_error: 0.7723, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5118, root_relative_squared_error: 1.0857, scimark_benchmark: 894.7455, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6554, f_measure: 0.5928, kappa: 0.0837, kb_relative_information_score: 128.7577, mean_absolute_error: 0.3459, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6403, predictive_accuracy: 0.6741, prior_entropy: 0.9188, recall: 0.6741, relative_absolute_error: 0.7779, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0609, scimark_benchmark: 936.6206, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6489, f_measure: 0.5469, kappa: 0.0237, kb_relative_information_score: 130.0596, mean_absolute_error: 0.3459, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7804, predictive_accuracy: 0.6726, prior_entropy: 0.9188, recall: 0.6726, relative_absolute_error: 0.7781, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5127, root_relative_squared_error: 1.0876, scimark_benchmark: 911.3823, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.637, f_measure: 0.5544, kappa: 0.0262, kb_relative_information_score: 120.6875, mean_absolute_error: 0.3513, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6253, predictive_accuracy: 0.6682, prior_entropy: 0.9188, recall: 0.6682, relative_absolute_error: 0.79, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5021, root_relative_squared_error: 1.0652, scimark_benchmark: 933.8635, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6303, f_measure: 0.5333, kb_relative_information_score: 123.0874, mean_absolute_error: 0.3504, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.4444, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.788, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5153, root_relative_squared_error: 1.093, scimark_benchmark: 938.9865, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7368, f_measure: 0.7107, kappa: 0.3425, kb_relative_information_score: 148.8345, mean_absolute_error: 0.3424, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7085, predictive_accuracy: 0.7143, prior_entropy: 0.9188, recall: 0.7143, relative_absolute_error: 0.7701, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4404, root_relative_squared_error: 0.9342, scimark_benchmark: 945.6434, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7314, f_measure: 0.7018, kappa: 0.3153, kb_relative_information_score: 126.1373, mean_absolute_error: 0.3589, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6995, predictive_accuracy: 0.7113, prior_entropy: 0.9188, recall: 0.7113, relative_absolute_error: 0.8071, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4387, root_relative_squared_error: 0.9306, scimark_benchmark: 938.2848, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6948, f_measure: 0.6762, kappa: 0.2518, kb_relative_information_score: 86.5296, mean_absolute_error: 0.382, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6752, predictive_accuracy: 0.6935, prior_entropy: 0.9188, recall: 0.6935, relative_absolute_error: 0.8592, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4512, root_relative_squared_error: 0.957, scimark_benchmark: 924.6116, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6357, f_measure: 0.6141, kappa: 0.1065, kb_relative_information_score: 43.3287, mean_absolute_error: 0.4068, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6123, predictive_accuracy: 0.6503, prior_entropy: 0.9188, recall: 0.6503, relative_absolute_error: 0.9149, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4673, root_relative_squared_error: 0.9913, scimark_benchmark: 902.4773, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6462, f_measure: 0.6147, kappa: 0.1135, kb_relative_information_score: 42.9316, mean_absolute_error: 0.4091, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6274, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9202, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4613, root_relative_squared_error: 0.9785, scimark_benchmark: 902.4773, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, f_measure: 0.5333, kb_relative_information_score: -0.2372, mean_absolute_error: 0.4446, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.4444, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1, scimark_benchmark: 940.2922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7703, f_measure: 0.7222, kappa: 0.3987, kb_relative_information_score: 154.0703, mean_absolute_error: 0.337, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7387, predictive_accuracy: 0.7158, prior_entropy: 0.9188, recall: 0.7158, relative_absolute_error: 0.7579, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4368, root_relative_squared_error: 0.9266, scimark_benchmark: 943.2745, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.625, f_measure: 0.6119, kappa: 0.1015, kb_relative_information_score: 39.6928, mean_absolute_error: 0.41, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6099, predictive_accuracy: 0.6488, prior_entropy: 0.9188, recall: 0.6488, relative_absolute_error: 0.922, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4672, root_relative_squared_error: 0.9911, scimark_benchmark: 930.32, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5761, f_measure: 0.6051, kappa: 0.086, kb_relative_information_score: 14.0657, mean_absolute_error: 0.4227, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5976, predictive_accuracy: 0.631, prior_entropy: 0.9188, recall: 0.631, relative_absolute_error: 0.9508, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0602, scimark_benchmark: 902.4773, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, f_measure: 0.5333, kb_relative_information_score: -0.2372, mean_absolute_error: 0.4446, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.4444, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1, scimark_benchmark: 910.8389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6039, f_measure: 0.5357, kappa: -0.0059, kb_relative_information_score: 20.0916, mean_absolute_error: 0.4255, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5271, predictive_accuracy: 0.6607, prior_entropy: 0.9188, recall: 0.6607, relative_absolute_error: 0.9569, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4601, root_relative_squared_error: 0.976, scimark_benchmark: 947.9494, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5333, kb_relative_information_score: 142.8743, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.4444, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.7497, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2247, scimark_benchmark: 947.9494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5665, f_measure: 0.6299, kappa: 0.1429, kb_relative_information_score: 57.0705, mean_absolute_error: 0.4068, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.629, predictive_accuracy: 0.6607, prior_entropy: 0.9188, recall: 0.6607, relative_absolute_error: 0.9151, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4954, root_relative_squared_error: 1.0509, scimark_benchmark: 904.3001, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6384, f_measure: 0.5464, kappa: 0.0147, kb_relative_information_score: 20.5664, mean_absolute_error: 0.4278, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6128, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9621, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4603, root_relative_squared_error: 0.9765, scimark_benchmark: 901.0726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6589, f_measure: 0.6697, kappa: 0.2465, kb_relative_information_score: 151.5116, mean_absolute_error: 0.329, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6662, predictive_accuracy: 0.6756, prior_entropy: 0.9188, recall: 0.6756, relative_absolute_error: 0.74, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5574, root_relative_squared_error: 1.1823, scimark_benchmark: 945.3151, usercpu_time_millis: 480, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6322, f_measure: 0.6492, kappa: 0.1988, kb_relative_information_score: 128.5602, mean_absolute_error: 0.3422, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.645, predictive_accuracy: 0.6563, prior_entropy: 0.9188, recall: 0.6563, relative_absolute_error: 0.7696, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5756, root_relative_squared_error: 1.221, scimark_benchmark: 1109.8407, usercpu_time_millis: 1000, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6233, f_measure: 0.6467, kappa: 0.2009, kb_relative_information_score: 96.218, mean_absolute_error: 0.3631, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6449, predictive_accuracy: 0.6488, prior_entropy: 0.9188, recall: 0.6488, relative_absolute_error: 0.8167, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5504, root_relative_squared_error: 1.1675, scimark_benchmark: 911.3823, usercpu_time_millis: 2350, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6517, f_measure: 0.6327, kappa: 0.1531, kb_relative_information_score: 69.4422, mean_absolute_error: 0.3874, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6269, predictive_accuracy: 0.6488, prior_entropy: 0.9188, recall: 0.6488, relative_absolute_error: 0.8713, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4783, root_relative_squared_error: 1.0146, scimark_benchmark: 931.4202, usercpu_time_millis: 180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5333, kb_relative_information_score: 142.8743, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.4444, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.7497, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2247, scimark_benchmark: 931.4202, usercpu_time_millis: 640, usercpu_time_millis_testing: 360, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6708, f_measure: 0.7165, kappa: 0.3529, kb_relative_information_score: 230.215, mean_absolute_error: 0.2783, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.714, predictive_accuracy: 0.7217, prior_entropy: 0.9188, recall: 0.7217, relative_absolute_error: 0.6259, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5275, root_relative_squared_error: 1.119, scimark_benchmark: 934.5243, usercpu_time_millis: 180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7227, build_cpu_time: 1.4491, build_memory: 429377732.6905, f_measure: 0.6946, kappa: 0.3007, kb_relative_information_score: 167.9462, mean_absolute_error: 0.3268, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6916, predictive_accuracy: 0.7024, prior_entropy: 0.9188, recall: 0.7024, relative_absolute_error: 0.7351, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4587, root_relative_squared_error: 0.9731, scimark_benchmark: 937.1392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7227, build_cpu_time: 1.5954, build_memory: 696635833.5714, f_measure: 0.6946, kappa: 0.3007, kb_relative_information_score: 167.9462, mean_absolute_error: 0.3268, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6916, predictive_accuracy: 0.7024, prior_entropy: 0.9188, recall: 0.7024, relative_absolute_error: 0.7351, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4587, root_relative_squared_error: 0.9731, scimark_benchmark: 940.5101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7221, build_cpu_time: 1.2605, build_memory: 627734435.8929, f_measure: 0.6954, kappa: 0.3018, kb_relative_information_score: 167.3222, mean_absolute_error: 0.3273, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6925, predictive_accuracy: 0.7039, prior_entropy: 0.9188, recall: 0.7039, relative_absolute_error: 0.7362, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4587, root_relative_squared_error: 0.9731, scimark_benchmark: 943.678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7207, build_cpu_time: 0.8488, build_memory: 739823380.5238, f_measure: 0.6946, kappa: 0.3007, kb_relative_information_score: 164.13, mean_absolute_error: 0.3294, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6916, predictive_accuracy: 0.7024, prior_entropy: 0.9188, recall: 0.7024, relative_absolute_error: 0.741, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4591, root_relative_squared_error: 0.9739, scimark_benchmark: 935.8685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6192, build_cpu_time: 0.0291, build_memory: 351998888.7857, f_measure: 0.6163, kappa: 0.1125, kb_relative_information_score: 45.1827, mean_absolute_error: 0.4015, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.61, predictive_accuracy: 0.6399, prior_entropy: 0.9188, recall: 0.6399, relative_absolute_error: 0.9031, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4879, root_relative_squared_error: 1.035, scimark_benchmark: 941.7846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6224, build_cpu_time: 0.0557, build_memory: 478370551.2381, f_measure: 0.6219, kappa: 0.1262, kb_relative_information_score: 50.5881, mean_absolute_error: 0.399, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6158, predictive_accuracy: 0.6429, prior_entropy: 0.9188, recall: 0.6429, relative_absolute_error: 0.8974, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4882, root_relative_squared_error: 1.0356, scimark_benchmark: 874.2668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6224, build_cpu_time: 0.048, build_memory: 1346400165.8333, f_measure: 0.6219, kappa: 0.1262, kb_relative_information_score: 50.5881, mean_absolute_error: 0.399, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6158, predictive_accuracy: 0.6429, prior_entropy: 0.9188, recall: 0.6429, relative_absolute_error: 0.8974, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4882, root_relative_squared_error: 1.0356, scimark_benchmark: 874.2668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6224, build_cpu_time: 0.0427, build_memory: 336571306.619, f_measure: 0.6219, kappa: 0.1262, kb_relative_information_score: 50.5881, mean_absolute_error: 0.399, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6158, predictive_accuracy: 0.6429, prior_entropy: 0.9188, recall: 0.6429, relative_absolute_error: 0.8974, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4882, root_relative_squared_error: 1.0356, scimark_benchmark: 907.3828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6224, build_cpu_time: 0.0382, build_memory: 379810629.9048, f_measure: 0.6219, kappa: 0.1262, kb_relative_information_score: 50.5881, mean_absolute_error: 0.399, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6158, predictive_accuracy: 0.6429, prior_entropy: 0.9188, recall: 0.6429, relative_absolute_error: 0.8974, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4882, root_relative_squared_error: 1.0356, scimark_benchmark: 920.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5039, build_cpu_time: 0.0583, build_memory: 282742391.5238, f_measure: 0.5647, kb_relative_information_score: -20.6416, mean_absolute_error: 0.4378, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5556, predictive_accuracy: 0.5789, prior_entropy: 0.9188, recall: 0.5789, relative_absolute_error: 0.9847, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6196, root_relative_squared_error: 1.3144, scimark_benchmark: 877.9084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, build_cpu_time: 0.0808, build_memory: 34208482.2857, f_measure: 0.5647, kb_relative_information_score: -20.5773, mean_absolute_error: 0.4378, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5556, predictive_accuracy: 0.5789, prior_entropy: 0.9188, recall: 0.5789, relative_absolute_error: 0.9846, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6194, root_relative_squared_error: 1.314, scimark_benchmark: 923.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4952, build_cpu_time: 0.0187, build_memory: 1757050236.2976, f_measure: 0.5593, kappa: -0.0118, kb_relative_information_score: -30.1771, mean_absolute_error: 0.4439, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5502, predictive_accuracy: 0.5729, prior_entropy: 0.9188, recall: 0.5729, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6244, root_relative_squared_error: 1.3245, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.487, build_cpu_time: 0.0103, build_memory: 1885164271.1191, f_measure: 0.5508, kappa: -0.0331, kb_relative_information_score: -39.4925, mean_absolute_error: 0.4497, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5403, predictive_accuracy: 0.567, prior_entropy: 0.9188, recall: 0.567, relative_absolute_error: 1.0114, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6285, root_relative_squared_error: 1.3332, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4931, build_cpu_time: 0.0041, build_memory: 273281489.2857, f_measure: 0.5597, kappa: -0.0118, kb_relative_information_score: -28.6021, mean_absolute_error: 0.4429, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5502, predictive_accuracy: 0.5744, prior_entropy: 0.9188, recall: 0.5744, relative_absolute_error: 0.9962, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6218, root_relative_squared_error: 1.3191, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5463, build_cpu_time: 0.1435, build_memory: 534015862.9524, f_measure: 0.5666, kappa: 0.0026, kb_relative_information_score: -6.1545, mean_absolute_error: 0.4376, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5572, predictive_accuracy: 0.625, prior_entropy: 0.9188, recall: 0.625, relative_absolute_error: 0.9843, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4838, root_relative_squared_error: 1.0263, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5463, build_cpu_time: 0.1306, build_memory: 204091413.9167, f_measure: 0.5666, kappa: 0.0026, kb_relative_information_score: -6.1545, mean_absolute_error: 0.4376, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5572, predictive_accuracy: 0.625, prior_entropy: 0.9188, recall: 0.625, relative_absolute_error: 0.9843, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4838, root_relative_squared_error: 1.0263, scimark_benchmark: 943.8094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5463, build_cpu_time: 0.1521, build_memory: 397833538.7381, f_measure: 0.5666, kappa: 0.0026, kb_relative_information_score: -6.1545, mean_absolute_error: 0.4376, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5572, predictive_accuracy: 0.625, prior_entropy: 0.9188, recall: 0.625, relative_absolute_error: 0.9843, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4838, root_relative_squared_error: 1.0263, scimark_benchmark: 920.6725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5463, build_cpu_time: 0.1451, build_memory: 285430776.7143, f_measure: 0.5666, kappa: 0.0026, kb_relative_information_score: -6.1545, mean_absolute_error: 0.4376, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5572, predictive_accuracy: 0.625, prior_entropy: 0.9188, recall: 0.625, relative_absolute_error: 0.9843, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4838, root_relative_squared_error: 1.0263, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5463, build_cpu_time: 0.1276, build_memory: 356414512.3929, f_measure: 0.5666, kappa: 0.0026, kb_relative_information_score: -6.1545, mean_absolute_error: 0.4376, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5572, predictive_accuracy: 0.625, prior_entropy: 0.9188, recall: 0.625, relative_absolute_error: 0.9843, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4838, root_relative_squared_error: 1.0263, scimark_benchmark: 941.6106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7046, build_cpu_time: 0.1259, build_memory: 1218515425.0357, f_measure: 0.6809, kappa: 0.2708, kb_relative_information_score: 140.6154, mean_absolute_error: 0.3424, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6774, predictive_accuracy: 0.6875, prior_entropy: 0.9188, recall: 0.6875, relative_absolute_error: 0.7702, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4681, root_relative_squared_error: 0.9929, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7032, build_cpu_time: 0.0976, build_memory: 1139636214.1905, f_measure: 0.6748, kappa: 0.2569, kb_relative_information_score: 133.6906, mean_absolute_error: 0.3478, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6712, predictive_accuracy: 0.6815, prior_entropy: 0.9188, recall: 0.6815, relative_absolute_error: 0.7823, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4646, root_relative_squared_error: 0.9856, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6928, build_cpu_time: 0.0659, build_memory: 273886344.0476, f_measure: 0.675, kappa: 0.2518, kb_relative_information_score: 118.3032, mean_absolute_error: 0.3595, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6718, predictive_accuracy: 0.6875, prior_entropy: 0.9188, recall: 0.6875, relative_absolute_error: 0.8086, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4626, root_relative_squared_error: 0.9813, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6785, build_cpu_time: 0.0212, build_memory: 1908792313.4524, f_measure: 0.675, kappa: 0.25, kb_relative_information_score: 101.4825, mean_absolute_error: 0.3727, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6729, predictive_accuracy: 0.6905, prior_entropy: 0.9188, recall: 0.6905, relative_absolute_error: 0.8384, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4599, root_relative_squared_error: 0.9755, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6308, build_cpu_time: 0.0104, build_memory: 384473302.0714, f_measure: 0.6227, kappa: 0.1283, kb_relative_information_score: 45.7333, mean_absolute_error: 0.4067, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6165, predictive_accuracy: 0.6429, prior_entropy: 0.9188, recall: 0.6429, relative_absolute_error: 0.9148, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4733, root_relative_squared_error: 1.0039, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7247, build_cpu_time: 0.0363, build_memory: 987228299.381, f_measure: 0.7095, kappa: 0.336, kb_relative_information_score: 168.2377, mean_absolute_error: 0.3274, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7069, predictive_accuracy: 0.7158, prior_entropy: 0.9188, recall: 0.7158, relative_absolute_error: 0.7365, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4551, root_relative_squared_error: 0.9655, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7257, build_cpu_time: 0.0643, build_memory: 494047151.7381, f_measure: 0.7061, kappa: 0.3295, kb_relative_information_score: 168.2996, mean_absolute_error: 0.3264, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7034, predictive_accuracy: 0.7113, prior_entropy: 0.9188, recall: 0.7113, relative_absolute_error: 0.7342, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4571, root_relative_squared_error: 0.9697, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7251, build_cpu_time: 0.0657, build_memory: 1161588548.6667, f_measure: 0.7048, kappa: 0.3268, kb_relative_information_score: 167.8357, mean_absolute_error: 0.3266, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7021, predictive_accuracy: 0.7098, prior_entropy: 0.9188, recall: 0.7098, relative_absolute_error: 0.7346, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4574, root_relative_squared_error: 0.9702, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7251, build_cpu_time: 0.0808, build_memory: 372064041.0476, f_measure: 0.7048, kappa: 0.3268, kb_relative_information_score: 167.8357, mean_absolute_error: 0.3266, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7021, predictive_accuracy: 0.7098, prior_entropy: 0.9188, recall: 0.7098, relative_absolute_error: 0.7346, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4574, root_relative_squared_error: 0.9702, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7251, build_cpu_time: 0.0631, build_memory: 3104793914.7262, f_measure: 0.7048, kappa: 0.3268, kb_relative_information_score: 167.8357, mean_absolute_error: 0.3266, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7021, predictive_accuracy: 0.7098, prior_entropy: 0.9188, recall: 0.7098, relative_absolute_error: 0.7346, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4574, root_relative_squared_error: 0.9702, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6006, build_cpu_time: 11.0416, build_memory: 900489008.4762, f_measure: 0.6226, kappa: 0.1433, kb_relative_information_score: 46.6986, mean_absolute_error: 0.3999, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6195, predictive_accuracy: 0.6265, prior_entropy: 0.9188, recall: 0.6265, relative_absolute_error: 0.8993, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5154, root_relative_squared_error: 1.0934, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6173, build_cpu_time: 20.6169, build_memory: 36672016.2857, f_measure: 0.6226, kappa: 0.1433, kb_relative_information_score: 67.7796, mean_absolute_error: 0.3823, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6195, predictive_accuracy: 0.6265, prior_entropy: 0.9188, recall: 0.6265, relative_absolute_error: 0.8598, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5375, root_relative_squared_error: 1.1401, scimark_benchmark: 923.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6459, build_cpu_time: 40.277, build_memory: 1059229226.2976, f_measure: 0.6519, kappa: 0.2137, kb_relative_information_score: 103.2308, mean_absolute_error: 0.3605, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6506, predictive_accuracy: 0.6533, prior_entropy: 0.9188, recall: 0.6533, relative_absolute_error: 0.8108, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5376, root_relative_squared_error: 1.1404, scimark_benchmark: 935.6292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6601, build_cpu_time: 88.6237, build_memory: 696633556.6429, f_measure: 0.6555, kappa: 0.2267, kb_relative_information_score: 116.3465, mean_absolute_error: 0.3499, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6563, predictive_accuracy: 0.6548, prior_entropy: 0.9188, recall: 0.6548, relative_absolute_error: 0.7871, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5519, root_relative_squared_error: 1.1707, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6568, build_cpu_time: 153.2933, build_memory: 34213016.5714, f_measure: 0.6681, kappa: 0.2607, kb_relative_information_score: 127.7802, mean_absolute_error: 0.3436, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6718, predictive_accuracy: 0.6652, prior_entropy: 0.9188, recall: 0.6652, relative_absolute_error: 0.7728, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5668, root_relative_squared_error: 1.2024, scimark_benchmark: 939.4403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6493, build_cpu_time: 178.1213, build_memory: 381697917.4405, f_measure: 0.6844, kappa: 0.2794, kb_relative_information_score: 181.6153, mean_absolute_error: 0.3089, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6811, predictive_accuracy: 0.6905, prior_entropy: 0.9188, recall: 0.6905, relative_absolute_error: 0.6947, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5532, root_relative_squared_error: 1.1735, scimark_benchmark: 902.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6377, build_cpu_time: 86.5616, build_memory: 1018244566.6548, f_measure: 0.6718, kappa: 0.2456, kb_relative_information_score: 168.5278, mean_absolute_error: 0.3171, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6681, predictive_accuracy: 0.683, prior_entropy: 0.9188, recall: 0.683, relative_absolute_error: 0.7132, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5582, root_relative_squared_error: 1.184, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6523, build_cpu_time: 44.1927, build_memory: 1358278581.9167, f_measure: 0.6677, kappa: 0.2395, kb_relative_information_score: 157.1931, mean_absolute_error: 0.3246, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6637, predictive_accuracy: 0.6756, prior_entropy: 0.9188, recall: 0.6756, relative_absolute_error: 0.73, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5585, root_relative_squared_error: 1.1847, scimark_benchmark: 945.0554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.656, build_cpu_time: 24.0014, build_memory: 209856723.2619, f_measure: 0.6636, kappa: 0.229, kb_relative_information_score: 153.3513, mean_absolute_error: 0.3265, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6594, predictive_accuracy: 0.6726, prior_entropy: 0.9188, recall: 0.6726, relative_absolute_error: 0.7345, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5526, root_relative_squared_error: 1.1723, scimark_benchmark: 937.9603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6457, build_cpu_time: 10.0079, build_memory: 555149230.0952, f_measure: 0.6431, kappa: 0.185, kb_relative_information_score: 124.3496, mean_absolute_error: 0.3437, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6387, predictive_accuracy: 0.6503, prior_entropy: 0.9188, recall: 0.6503, relative_absolute_error: 0.773, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5505, root_relative_squared_error: 1.1679, scimark_benchmark: 920.2874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6322, build_cpu_time: 2.2183, build_memory: 1039916343.2381, f_measure: 0.6305, kappa: 0.1509, kb_relative_information_score: 67.8771, mean_absolute_error: 0.388, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6246, predictive_accuracy: 0.6429, prior_entropy: 0.9188, recall: 0.6429, relative_absolute_error: 0.8727, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4872, root_relative_squared_error: 1.0335, scimark_benchmark: 916.8516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6479, build_cpu_time: 3.7622, build_memory: 843558836.7976, f_measure: 0.6353, kappa: 0.1597, kb_relative_information_score: 84.677, mean_absolute_error: 0.3749, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6296, predictive_accuracy: 0.6503, prior_entropy: 0.9188, recall: 0.6503, relative_absolute_error: 0.8431, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4874, root_relative_squared_error: 1.0339, scimark_benchmark: 944.4197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6751, build_cpu_time: 8.3648, build_memory: 942694207.3095, f_measure: 0.6711, kappa: 0.2447, kb_relative_information_score: 131.0246, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6673, predictive_accuracy: 0.6815, prior_entropy: 0.9188, recall: 0.6815, relative_absolute_error: 0.7796, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4832, root_relative_squared_error: 1.025, scimark_benchmark: 923.3659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.703, build_cpu_time: 37.1234, build_memory: 1117700575.2381, f_measure: 0.6875, kappa: 0.2834, kb_relative_information_score: 184.2651, mean_absolute_error: 0.3084, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6843, predictive_accuracy: 0.6964, prior_entropy: 0.9188, recall: 0.6964, relative_absolute_error: 0.6936, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5038, root_relative_squared_error: 1.0688, scimark_benchmark: 914.1182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6338, build_cpu_time: 0.1393, build_memory: 116094129.1905, f_measure: 0.6456, kappa: 0.1805, kb_relative_information_score: 67.7235, mean_absolute_error: 0.3935, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6425, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.8851, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4718, root_relative_squared_error: 1.0009, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6338, build_cpu_time: 0.1886, build_memory: 1065689669.1191, f_measure: 0.6456, kappa: 0.1805, kb_relative_information_score: 67.7235, mean_absolute_error: 0.3935, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6425, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.8851, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4718, root_relative_squared_error: 1.0009, scimark_benchmark: 902.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6338, build_cpu_time: 0.1574, build_memory: 793228545.6548, f_measure: 0.6456, kappa: 0.1805, kb_relative_information_score: 67.7235, mean_absolute_error: 0.3935, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6425, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.8851, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4718, root_relative_squared_error: 1.0009, scimark_benchmark: 923.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6308, build_cpu_time: 0.1317, build_memory: 749255221.5833, f_measure: 0.6444, kappa: 0.1778, kb_relative_information_score: 65.9721, mean_absolute_error: 0.3948, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.641, predictive_accuracy: 0.6652, prior_entropy: 0.9188, recall: 0.6652, relative_absolute_error: 0.8879, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4726, root_relative_squared_error: 1.0026, scimark_benchmark: 917.4547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6412, build_cpu_time: 0.1014, build_memory: 547608094.1667, f_measure: 0.6508, kappa: 0.1924, kb_relative_information_score: 70.5767, mean_absolute_error: 0.3922, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.648, predictive_accuracy: 0.6711, prior_entropy: 0.9188, recall: 0.6711, relative_absolute_error: 0.8822, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4688, root_relative_squared_error: 0.9945, scimark_benchmark: 902.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6577, build_cpu_time: 0.0353, build_memory: 354182306.25, f_measure: 0.6621, kappa: 0.2274, kb_relative_information_score: 110.019, mean_absolute_error: 0.3592, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.658, predictive_accuracy: 0.6696, prior_entropy: 0.9188, recall: 0.6696, relative_absolute_error: 0.8079, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.0618, scimark_benchmark: 935.6292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6523, build_cpu_time: 0.1188, build_memory: 872403965.0357, f_measure: 0.6574, kappa: 0.215, kb_relative_information_score: 135.7772, mean_absolute_error: 0.3414, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.653, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5228, root_relative_squared_error: 1.109, scimark_benchmark: 936.1433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6546, build_cpu_time: 0.1588, build_memory: 578907816.2857, f_measure: 0.6741, kappa: 0.2586, kb_relative_information_score: 150.0271, mean_absolute_error: 0.3304, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6711, predictive_accuracy: 0.6786, prior_entropy: 0.9188, recall: 0.6786, relative_absolute_error: 0.7431, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5391, root_relative_squared_error: 1.1436, scimark_benchmark: 916.8516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6589, build_cpu_time: 0.3338, build_memory: 836474057.3333, f_measure: 0.6697, kappa: 0.2465, kb_relative_information_score: 151.5116, mean_absolute_error: 0.329, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6662, predictive_accuracy: 0.6756, prior_entropy: 0.9188, recall: 0.6756, relative_absolute_error: 0.74, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5574, root_relative_squared_error: 1.1823, scimark_benchmark: 943.4039,

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