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 ada_prior

Supervised Classification on ada_prior

Task 3890 Supervised Classification ada_prior 520 runs submitted
0 likes downloaded by 1 people , 1 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_107 study_15 study_20 study_41 under100k under1m
Issue #Downvotes for this reason By


Metric:

520 Runs

Fetching data
Fetching data
Search runs in more detail run
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7956, f_measure: 0.7994, kappa: 0.4522, kb_relative_information_score: 1465.3336, mean_absolute_error: 0.2262, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.7967, predictive_accuracy: 0.8036, prior_entropy: 0.8085, recall: 0.8036, relative_absolute_error: 0.6061, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3867, root_relative_squared_error: 0.8952, scimark_benchmark: 1442.7264, usercpu_time_millis: 2460, usercpu_time_millis_testing: 2460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7984, f_measure: 0.7759, kappa: 0.4817, kb_relative_information_score: 1286.9304, mean_absolute_error: 0.2396, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8374, predictive_accuracy: 0.7604, prior_entropy: 0.8085, recall: 0.7604, relative_absolute_error: 0.642, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4895, root_relative_squared_error: 1.1332, scimark_benchmark: 1363.454, usercpu_time_millis: 1980, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7073, f_measure: 0.8105, kappa: 0.4675, kb_relative_information_score: 2152.6279, mean_absolute_error: 0.1762, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8132, predictive_accuracy: 0.8238, prior_entropy: 0.8085, recall: 0.8238, relative_absolute_error: 0.4723, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4198, root_relative_squared_error: 0.9719, scimark_benchmark: 1336.3256, usercpu_time_millis: 42510, usercpu_time_millis_testing: 7500, usercpu_time_millis_training: 35010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7464, f_measure: 0.8312, kappa: 0.5323, kb_relative_information_score: 2353.326, mean_absolute_error: 0.1616, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8307, predictive_accuracy: 0.8384, prior_entropy: 0.8085, recall: 0.8384, relative_absolute_error: 0.4329, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.9306, scimark_benchmark: 1287.514, usercpu_time_millis: 8310, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 8300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8929, f_measure: 0.8335, kappa: 0.5399, kb_relative_information_score: 1755.1359, mean_absolute_error: 0.2221, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8325, predictive_accuracy: 0.8398, prior_entropy: 0.8085, recall: 0.8398, relative_absolute_error: 0.5952, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3318, root_relative_squared_error: 0.7683, scimark_benchmark: 942.9708, usercpu_time_millis: 3640, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 3620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5217, f_measure: 0.5925, kappa: 0.0359, kb_relative_information_score: -1370.0721, mean_absolute_error: 0.434, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.642, predictive_accuracy: 0.566, prior_entropy: 0.8085, recall: 0.566, relative_absolute_error: 1.163, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.6588, root_relative_squared_error: 1.5252, scimark_benchmark: 942.9708, usercpu_time_millis: 740, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.88, f_measure: 0.8297, kappa: 0.5313, kb_relative_information_score: 1889.8288, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8281, predictive_accuracy: 0.8352, prior_entropy: 0.8085, recall: 0.8352, relative_absolute_error: 0.5519, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3432, root_relative_squared_error: 0.7946, scimark_benchmark: 1028.5889, usercpu_time_millis: 204860, usercpu_time_millis_testing: 15790, usercpu_time_millis_training: 189070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6473, kappa: 0.0001, kb_relative_information_score: 1104.2053, mean_absolute_error: 0.253, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.6273, predictive_accuracy: 0.747, prior_entropy: 0.8085, recall: 0.747, relative_absolute_error: 0.6778, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.503, root_relative_squared_error: 1.1644, scimark_benchmark: 1372.2145, usercpu_time_millis: 41540, usercpu_time_millis_testing: 11940, usercpu_time_millis_training: 29600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8942, f_measure: 0.8291, kappa: 0.5587, kb_relative_information_score: 1897.6311, mean_absolute_error: 0.1969, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8388, predictive_accuracy: 0.824, prior_entropy: 0.8085, recall: 0.824, relative_absolute_error: 0.5276, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3631, root_relative_squared_error: 0.8405, scimark_benchmark: 918.6491, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9, f_measure: 0.8457, kappa: 0.5869, kb_relative_information_score: 2035.94, mean_absolute_error: 0.1911, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8459, predictive_accuracy: 0.8455, prior_entropy: 0.8085, recall: 0.8455, relative_absolute_error: 0.512, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3333, root_relative_squared_error: 0.7715, scimark_benchmark: 1325.2092, usercpu_time_millis: 150, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8994, f_measure: 0.8408, kappa: 0.5796, kb_relative_information_score: 2000.0469, mean_absolute_error: 0.1922, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8438, predictive_accuracy: 0.8387, prior_entropy: 0.8085, recall: 0.8387, relative_absolute_error: 0.5151, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3416, root_relative_squared_error: 0.7908, scimark_benchmark: 935.4444, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8771, f_measure: 0.8228, kappa: 0.5128, kb_relative_information_score: 1714.2239, mean_absolute_error: 0.2216, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8209, predictive_accuracy: 0.8284, prior_entropy: 0.8085, recall: 0.8284, relative_absolute_error: 0.5937, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3429, root_relative_squared_error: 0.7939, scimark_benchmark: 1313.5726, usercpu_time_millis: 1210, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7245, f_measure: 0.789, kappa: 0.4318, kb_relative_information_score: 1648.6844, mean_absolute_error: 0.2138, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.7881, predictive_accuracy: 0.79, prior_entropy: 0.8085, recall: 0.79, relative_absolute_error: 0.5728, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4519, root_relative_squared_error: 1.0462, scimark_benchmark: 1318.5526, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8401, f_measure: 0.8131, kappa: 0.4794, kb_relative_information_score: 1483.9875, mean_absolute_error: 0.2422, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8126, predictive_accuracy: 0.8229, prior_entropy: 0.8085, recall: 0.8229, relative_absolute_error: 0.6489, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.8374, scimark_benchmark: 1369.9744, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8483, f_measure: 0.8368, kappa: 0.5466, kb_relative_information_score: 1803.0268, mean_absolute_error: 0.2223, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8373, predictive_accuracy: 0.8446, prior_entropy: 0.8085, recall: 0.8446, relative_absolute_error: 0.5956, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3429, root_relative_squared_error: 0.7938, scimark_benchmark: 1290.1085, usercpu_time_millis: 2560, usercpu_time_millis_training: 2560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7279, f_measure: 0.7815, kappa: 0.4316, kb_relative_information_score: 1499.6104, mean_absolute_error: 0.224, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.7897, predictive_accuracy: 0.776, prior_entropy: 0.8085, recall: 0.776, relative_absolute_error: 0.6003, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4733, root_relative_squared_error: 1.0958, scimark_benchmark: 1294.7826, usercpu_time_millis: 4210, usercpu_time_millis_testing: 1860, usercpu_time_millis_training: 2350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6236, f_measure: 0.7518, kappa: 0.2935, kb_relative_information_score: 1526.5699, mean_absolute_error: 0.2221, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.7539, predictive_accuracy: 0.7779, prior_entropy: 0.8085, recall: 0.7779, relative_absolute_error: 0.595, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4712, root_relative_squared_error: 1.091, scimark_benchmark: 1337.7959, usercpu_time_millis: 6830, usercpu_time_millis_testing: 740, usercpu_time_millis_training: 6090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.818, f_measure: 0.817, kappa: 0.501, kb_relative_information_score: 1800.8164, mean_absolute_error: 0.2113, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8148, predictive_accuracy: 0.8205, prior_entropy: 0.8085, recall: 0.8205, relative_absolute_error: 0.5661, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3733, root_relative_squared_error: 0.8642, scimark_benchmark: 1392.1129, usercpu_time_millis: 900, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5938, f_measure: 0.7409, kappa: 0.2558, kb_relative_information_score: 1778.1913, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8261, predictive_accuracy: 0.7964, prior_entropy: 0.8085, recall: 0.7964, relative_absolute_error: 0.5457, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4513, root_relative_squared_error: 1.0448, scimark_benchmark: 1351.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6831, f_measure: 0.798, kappa: 0.4272, kb_relative_information_score: 2056.7722, mean_absolute_error: 0.1833, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8058, predictive_accuracy: 0.8167, prior_entropy: 0.8085, recall: 0.8167, relative_absolute_error: 0.4911, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4281, root_relative_squared_error: 0.9911, scimark_benchmark: 1353.5686, usercpu_time_millis: 240, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.6454, kb_relative_information_score: -0.5002, mean_absolute_error: 0.3732, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.5653, predictive_accuracy: 0.7519, prior_entropy: 0.8085, recall: 0.7519, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4319, root_relative_squared_error: 1, scimark_benchmark: 1330.0803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8256, f_measure: 0.8347, kappa: 0.5386, kb_relative_information_score: 1718.8768, mean_absolute_error: 0.2333, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8366, predictive_accuracy: 0.8439, prior_entropy: 0.8085, recall: 0.8439, relative_absolute_error: 0.6252, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3514, root_relative_squared_error: 0.8135, scimark_benchmark: 1501.4698, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8376, f_measure: 0.819, kappa: 0.495, kb_relative_information_score: 2221.5866, mean_absolute_error: 0.1714, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8193, predictive_accuracy: 0.8288, prior_entropy: 0.8085, recall: 0.8288, relative_absolute_error: 0.4594, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4063, root_relative_squared_error: 0.9406, scimark_benchmark: 927.0753, usercpu_time_millis: 420, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8283, f_measure: 0.8197, kappa: 0.4973, kb_relative_information_score: 1887.3162, mean_absolute_error: 0.209, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8198, predictive_accuracy: 0.8292, prior_entropy: 0.8085, recall: 0.8292, relative_absolute_error: 0.5599, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.36, root_relative_squared_error: 0.8336, scimark_benchmark: 941.7954, usercpu_time_millis: 410, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8351, f_measure: 0.8164, kappa: 0.4875, kb_relative_information_score: 1819.0007, mean_absolute_error: 0.2161, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8167, predictive_accuracy: 0.8266, prior_entropy: 0.8085, recall: 0.8266, relative_absolute_error: 0.5791, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3566, root_relative_squared_error: 0.8255, scimark_benchmark: 942.3168, usercpu_time_millis: 390, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8351, f_measure: 0.8164, kappa: 0.4875, kb_relative_information_score: 1819.0007, mean_absolute_error: 0.2161, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8167, predictive_accuracy: 0.8266, prior_entropy: 0.8085, recall: 0.8266, relative_absolute_error: 0.5791, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3566, root_relative_squared_error: 0.8255, scimark_benchmark: 939.7623, usercpu_time_millis: 410, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8904, f_measure: 0.8262, kappa: 0.509, kb_relative_information_score: 2321.8146, mean_absolute_error: 0.1668, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8348, predictive_accuracy: 0.8404, prior_entropy: 0.8085, recall: 0.8404, relative_absolute_error: 0.4469, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3671, root_relative_squared_error: 0.8499, scimark_benchmark: 936.6206, usercpu_time_millis: 1600, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8803, f_measure: 0.8245, kappa: 0.5079, kb_relative_information_score: 2237.9696, mean_absolute_error: 0.173, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8278, predictive_accuracy: 0.836, prior_entropy: 0.8085, recall: 0.836, relative_absolute_error: 0.4635, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3712, root_relative_squared_error: 0.8594, scimark_benchmark: 926.6717, usercpu_time_millis: 760, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, f_measure: 0.8147, kappa: 0.477, kb_relative_information_score: 2118.7694, mean_absolute_error: 0.1824, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8208, predictive_accuracy: 0.8295, prior_entropy: 0.8085, recall: 0.8295, relative_absolute_error: 0.4888, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3891, root_relative_squared_error: 0.9009, scimark_benchmark: 911.3823, usercpu_time_millis: 390, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8511, f_measure: 0.8112, kappa: 0.4686, kb_relative_information_score: 2075.9685, mean_absolute_error: 0.186, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8149, predictive_accuracy: 0.8251, prior_entropy: 0.8085, recall: 0.8251, relative_absolute_error: 0.4983, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3956, root_relative_squared_error: 0.916, scimark_benchmark: 938.4285, usercpu_time_millis: 250, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8158, f_measure: 0.7967, kappa: 0.4252, kb_relative_information_score: 1859.9697, mean_absolute_error: 0.2029, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8015, predictive_accuracy: 0.8139, prior_entropy: 0.8085, recall: 0.8139, relative_absolute_error: 0.5438, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4111, root_relative_squared_error: 0.9518, scimark_benchmark: 938.4285, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9036, f_measure: 0.8474, kappa: 0.5793, kb_relative_information_score: 2033.5021, mean_absolute_error: 0.1978, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8468, predictive_accuracy: 0.8527, prior_entropy: 0.8085, recall: 0.8527, relative_absolute_error: 0.53, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3209, root_relative_squared_error: 0.7429, scimark_benchmark: 933.8635, usercpu_time_millis: 1720, usercpu_time_millis_training: 1720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9019, f_measure: 0.8427, kappa: 0.5666, kb_relative_information_score: 2000.4244, mean_absolute_error: 0.2007, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8418, predictive_accuracy: 0.8481, prior_entropy: 0.8085, recall: 0.8481, relative_absolute_error: 0.5377, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3222, root_relative_squared_error: 0.746, scimark_benchmark: 924.6116, usercpu_time_millis: 640, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8975, f_measure: 0.843, kappa: 0.5667, kb_relative_information_score: 1939.8724, mean_absolute_error: 0.2058, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8424, predictive_accuracy: 0.8488, prior_entropy: 0.8085, recall: 0.8488, relative_absolute_error: 0.5514, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3247, root_relative_squared_error: 0.7517, scimark_benchmark: 924.6116, usercpu_time_millis: 320, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, f_measure: 0.8385, kappa: 0.5516, kb_relative_information_score: 1860.881, mean_absolute_error: 0.2132, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8388, predictive_accuracy: 0.8459, prior_entropy: 0.8085, recall: 0.8459, relative_absolute_error: 0.5713, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3274, root_relative_squared_error: 0.758, scimark_benchmark: 902.4773, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8823, f_measure: 0.8302, kappa: 0.5257, kb_relative_information_score: 1720.1762, mean_absolute_error: 0.2247, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8321, predictive_accuracy: 0.84, prior_entropy: 0.8085, recall: 0.84, relative_absolute_error: 0.6021, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3353, root_relative_squared_error: 0.7763, scimark_benchmark: 931.2336, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.6454, kb_relative_information_score: -0.5002, mean_absolute_error: 0.3732, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.5653, predictive_accuracy: 0.7519, prior_entropy: 0.8085, recall: 0.7519, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4319, root_relative_squared_error: 1, scimark_benchmark: 938.9865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8882, f_measure: 0.8273, kappa: 0.5572, kb_relative_information_score: 1546.9688, mean_absolute_error: 0.2302, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8395, predictive_accuracy: 0.8214, prior_entropy: 0.8085, recall: 0.8214, relative_absolute_error: 0.6169, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3429, root_relative_squared_error: 0.7939, scimark_benchmark: 943.2745, usercpu_time_millis: 1650, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8763, f_measure: 0.8323, kappa: 0.5349, kb_relative_information_score: 1748.2034, mean_absolute_error: 0.2215, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.832, predictive_accuracy: 0.8398, prior_entropy: 0.8085, recall: 0.8398, relative_absolute_error: 0.5936, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3388, root_relative_squared_error: 0.7844, scimark_benchmark: 943.2745, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8378, f_measure: 0.8093, kappa: 0.476, kb_relative_information_score: 1686.812, mean_absolute_error: 0.2169, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8068, predictive_accuracy: 0.815, prior_entropy: 0.8085, recall: 0.815, relative_absolute_error: 0.5811, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3687, root_relative_squared_error: 0.8536, scimark_benchmark: 929.566, usercpu_time_millis: 200, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.855, f_measure: 0.8226, kappa: 0.509, kb_relative_information_score: 1432.8388, mean_absolute_error: 0.2505, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8213, predictive_accuracy: 0.8299, prior_entropy: 0.8085, recall: 0.8299, relative_absolute_error: 0.6714, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3497, root_relative_squared_error: 0.8097, scimark_benchmark: 929.566, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8823, f_measure: 0.8302, kappa: 0.5257, kb_relative_information_score: 1720.1762, mean_absolute_error: 0.2247, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8321, predictive_accuracy: 0.84, prior_entropy: 0.8085, recall: 0.84, relative_absolute_error: 0.6021, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3353, root_relative_squared_error: 0.7763, scimark_benchmark: 911.0478, 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: 0.6454, kb_relative_information_score: 1170.1062, mean_absolute_error: 0.2481, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.5653, predictive_accuracy: 0.7519, prior_entropy: 0.8085, recall: 0.7519, relative_absolute_error: 0.6649, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4981, root_relative_squared_error: 1.1533, scimark_benchmark: 947.9494, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8256, f_measure: 0.8347, kappa: 0.5386, kb_relative_information_score: 1718.8768, mean_absolute_error: 0.2333, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8366, predictive_accuracy: 0.8439, prior_entropy: 0.8085, recall: 0.8439, relative_absolute_error: 0.6252, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3514, root_relative_squared_error: 0.8135, scimark_benchmark: 904.3001, usercpu_time_millis: 160, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8518, f_measure: 0.8348, kappa: 0.5418, kb_relative_information_score: 1614.9787, mean_absolute_error: 0.2405, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8347, predictive_accuracy: 0.8422, prior_entropy: 0.8085, recall: 0.8422, relative_absolute_error: 0.6444, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3497, root_relative_squared_error: 0.8097, scimark_benchmark: 947.9494, usercpu_time_millis: 15290, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 15280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7937, f_measure: 0.6631, kappa: 0.0458, kb_relative_information_score: 518.1038, mean_absolute_error: 0.3069, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8178, predictive_accuracy: 0.7595, prior_entropy: 0.8085, recall: 0.7595, relative_absolute_error: 0.8224, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3862, root_relative_squared_error: 0.894, scimark_benchmark: 917.7039, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8041, f_measure: 0.7742, kappa: 0.3942, kb_relative_information_score: 1452.4855, mean_absolute_error: 0.2282, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.774, predictive_accuracy: 0.7744, prior_entropy: 0.8085, recall: 0.7744, relative_absolute_error: 0.6114, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.408, root_relative_squared_error: 0.9445, scimark_benchmark: 945.6434, usercpu_time_millis: 74940, usercpu_time_millis_testing: 74900, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7692, f_measure: 0.8235, kappa: 0.518, kb_relative_information_score: 2201.8663, mean_absolute_error: 0.1725, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8214, predictive_accuracy: 0.8273, prior_entropy: 0.8085, recall: 0.8273, relative_absolute_error: 0.4622, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4127, root_relative_squared_error: 0.9556, scimark_benchmark: 943.6956, usercpu_time_millis: 12230, usercpu_time_millis_testing: 340, usercpu_time_millis_training: 11890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7612, f_measure: 0.8246, kappa: 0.5209, kb_relative_information_score: 2216.1153, mean_absolute_error: 0.1716, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8226, predictive_accuracy: 0.8284, prior_entropy: 0.8085, recall: 0.8284, relative_absolute_error: 0.4597, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4133, root_relative_squared_error: 0.9568, scimark_benchmark: 945.6434, usercpu_time_millis: 21660, usercpu_time_millis_testing: 840, usercpu_time_millis_training: 20820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8513, f_measure: 0.8155, kappa: 0.4994, kb_relative_information_score: 2073.7797, mean_absolute_error: 0.1807, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8137, predictive_accuracy: 0.8181, prior_entropy: 0.8085, recall: 0.8181, relative_absolute_error: 0.4842, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3965, root_relative_squared_error: 0.918, scimark_benchmark: 936.6206, usercpu_time_millis: 53230, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 53140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8838, f_measure: 0.8379, kappa: 0.5523, kb_relative_information_score: 1963.2548, mean_absolute_error: 0.2027, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.837, predictive_accuracy: 0.8439, prior_entropy: 0.8085, recall: 0.8439, relative_absolute_error: 0.5433, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3385, root_relative_squared_error: 0.7836, scimark_benchmark: 931.4202, usercpu_time_millis: 1830, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9, f_measure: 0.8457, kappa: 0.5869, kb_relative_information_score: 2035.94, mean_absolute_error: 0.1911, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8459, predictive_accuracy: 0.8455, prior_entropy: 0.8085, recall: 0.8455, relative_absolute_error: 0.512, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3333, root_relative_squared_error: 0.7715, scimark_benchmark: 917.7039, usercpu_time_millis: 190, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7073, f_measure: 0.8105, kappa: 0.4675, kb_relative_information_score: 2152.6279, mean_absolute_error: 0.1762, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8132, predictive_accuracy: 0.8238, prior_entropy: 0.8085, recall: 0.8238, relative_absolute_error: 0.4723, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4198, root_relative_squared_error: 0.9719, scimark_benchmark: 915.2795, usercpu_time_millis: 85660, usercpu_time_millis_testing: 16410, usercpu_time_millis_training: 69250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7534, f_measure: 0.8357, kappa: 0.5455, kb_relative_information_score: 2407.2449, mean_absolute_error: 0.1576, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8352, predictive_accuracy: 0.8424, prior_entropy: 0.8085, recall: 0.8424, relative_absolute_error: 0.4223, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.397, root_relative_squared_error: 0.9191, scimark_benchmark: 945.0164, usercpu_time_millis: 2020, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.871, build_cpu_time: 302.9981, build_memory: 584539499.0057, f_measure: 0.8344, kappa: 0.5417, kb_relative_information_score: 1915.7531, mean_absolute_error: 0.2063, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8337, predictive_accuracy: 0.8411, prior_entropy: 0.8085, recall: 0.8411, relative_absolute_error: 0.5527, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3504, root_relative_squared_error: 0.8112, scimark_benchmark: 939.1359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8711, build_cpu_time: 315.995, build_memory: 1323099730.4042, f_measure: 0.8342, kappa: 0.5412, kb_relative_information_score: 1917.2798, mean_absolute_error: 0.2062, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8335, predictive_accuracy: 0.8409, prior_entropy: 0.8085, recall: 0.8409, relative_absolute_error: 0.5526, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3503, root_relative_squared_error: 0.8111, scimark_benchmark: 927.1482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8706, build_cpu_time: 209.8363, build_memory: 748677982.1605, f_measure: 0.8343, kappa: 0.5414, kb_relative_information_score: 1908.4852, mean_absolute_error: 0.2069, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8337, predictive_accuracy: 0.8411, prior_entropy: 0.8085, recall: 0.8411, relative_absolute_error: 0.5545, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3506, root_relative_squared_error: 0.8117, scimark_benchmark: 937.3768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8708, build_cpu_time: 118.3822, build_memory: 525006273.6747, f_measure: 0.8324, kappa: 0.536, kb_relative_information_score: 1878.03, mean_absolute_error: 0.2098, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8317, predictive_accuracy: 0.8393, prior_entropy: 0.8085, recall: 0.8393, relative_absolute_error: 0.5622, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3507, root_relative_squared_error: 0.8118, scimark_benchmark: 919.6575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8549, build_cpu_time: 0.4359, build_memory: 117645904.1683, f_measure: 0.8182, kappa: 0.5043, kb_relative_information_score: 1904.1228, mean_absolute_error: 0.1977, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8161, predictive_accuracy: 0.8218, prior_entropy: 0.8085, recall: 0.8218, relative_absolute_error: 0.5298, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.8663, scimark_benchmark: 945.1987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8598, build_cpu_time: 0.8874, build_memory: 799000296.74, f_measure: 0.815, kappa: 0.4969, kb_relative_information_score: 1957.8887, mean_absolute_error: 0.1925, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.813, predictive_accuracy: 0.8181, prior_entropy: 0.8085, recall: 0.8181, relative_absolute_error: 0.5157, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3827, root_relative_squared_error: 0.8859, scimark_benchmark: 925.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8627, build_cpu_time: 1.5208, build_memory: 782001948.861, f_measure: 0.8161, kappa: 0.5007, kb_relative_information_score: 2030.4466, mean_absolute_error: 0.1861, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8143, predictive_accuracy: 0.8187, prior_entropy: 0.8085, recall: 0.8187, relative_absolute_error: 0.4986, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3887, root_relative_squared_error: 0.9, scimark_benchmark: 939.8609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8617, build_cpu_time: 2.7476, build_memory: 891488783.6212, f_measure: 0.8167, kappa: 0.5007, kb_relative_information_score: 2045.9977, mean_absolute_error: 0.1844, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8146, predictive_accuracy: 0.82, prior_entropy: 0.8085, recall: 0.82, relative_absolute_error: 0.4941, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3953, root_relative_squared_error: 0.9152, scimark_benchmark: 940.5101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8611, build_cpu_time: 3.871, build_memory: 103495331.9071, f_measure: 0.8173, kappa: 0.5024, kb_relative_information_score: 2048.0778, mean_absolute_error: 0.1839, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8153, predictive_accuracy: 0.8207, prior_entropy: 0.8085, recall: 0.8207, relative_absolute_error: 0.4929, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3967, root_relative_squared_error: 0.9183, scimark_benchmark: 940.159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7443, build_cpu_time: 2.8578, build_memory: 780577490.8128, f_measure: 0.8179, kappa: 0.5016, kb_relative_information_score: 2118.9435, mean_absolute_error: 0.1788, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8156, predictive_accuracy: 0.8222, prior_entropy: 0.8085, recall: 0.8222, relative_absolute_error: 0.4792, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4212, root_relative_squared_error: 0.9751, scimark_benchmark: 907.3828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7437, build_cpu_time: 1.4967, build_memory: 299254682.2499, f_measure: 0.8123, kappa: 0.4857, kb_relative_information_score: 2055.5508, mean_absolute_error: 0.1833, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8099, predictive_accuracy: 0.8172, prior_entropy: 0.8085, recall: 0.8172, relative_absolute_error: 0.4912, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4262, root_relative_squared_error: 0.9867, scimark_benchmark: 939.8609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7482, build_cpu_time: 0.8487, build_memory: 1997935015.1057, f_measure: 0.814, kappa: 0.492, kb_relative_information_score: 2065.1741, mean_absolute_error: 0.1827, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8117, predictive_accuracy: 0.8181, prior_entropy: 0.8085, recall: 0.8181, relative_absolute_error: 0.4895, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4255, root_relative_squared_error: 0.9852, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7588, build_cpu_time: 0.4203, build_memory: 2411447522.1184, f_measure: 0.8141, kappa: 0.4928, kb_relative_information_score: 2066.8844, mean_absolute_error: 0.1826, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8118, predictive_accuracy: 0.8178, prior_entropy: 0.8085, recall: 0.8178, relative_absolute_error: 0.4894, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4237, root_relative_squared_error: 0.9809, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7746, build_cpu_time: 0.1965, build_memory: 1510677386.5024, f_measure: 0.8083, kappa: 0.4784, kb_relative_information_score: 1978.7384, mean_absolute_error: 0.1889, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8061, predictive_accuracy: 0.8115, prior_entropy: 0.8085, recall: 0.8115, relative_absolute_error: 0.5062, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4281, root_relative_squared_error: 0.9912, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8765, build_cpu_time: 1.2598, build_memory: 892942986.5883, f_measure: 0.8228, kappa: 0.5133, kb_relative_information_score: 1709.9701, mean_absolute_error: 0.2218, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8208, predictive_accuracy: 0.8279, prior_entropy: 0.8085, recall: 0.8279, relative_absolute_error: 0.5944, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3433, root_relative_squared_error: 0.7949, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8765, build_cpu_time: 1.2677, build_memory: 2354247032.5436, f_measure: 0.8228, kappa: 0.5133, kb_relative_information_score: 1709.9701, mean_absolute_error: 0.2218, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8208, predictive_accuracy: 0.8279, prior_entropy: 0.8085, recall: 0.8279, relative_absolute_error: 0.5944, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3433, root_relative_squared_error: 0.7949, scimark_benchmark: 943.8094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8765, build_cpu_time: 1.3397, build_memory: 2149962888.5366, f_measure: 0.8228, kappa: 0.5133, kb_relative_information_score: 1709.9701, mean_absolute_error: 0.2218, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8208, predictive_accuracy: 0.8279, prior_entropy: 0.8085, recall: 0.8279, relative_absolute_error: 0.5944, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3433, root_relative_squared_error: 0.7949, scimark_benchmark: 945.5885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8765, build_cpu_time: 1.4057, build_memory: 1233211578.0097, f_measure: 0.8228, kappa: 0.5133, kb_relative_information_score: 1709.9701, mean_absolute_error: 0.2218, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8208, predictive_accuracy: 0.8279, prior_entropy: 0.8085, recall: 0.8279, relative_absolute_error: 0.5944, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3433, root_relative_squared_error: 0.7949, scimark_benchmark: 940.5537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8765, build_cpu_time: 1.4098, build_memory: 916680650.3884, f_measure: 0.8228, kappa: 0.5133, kb_relative_information_score: 1709.9701, mean_absolute_error: 0.2218, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8208, predictive_accuracy: 0.8279, prior_entropy: 0.8085, recall: 0.8279, relative_absolute_error: 0.5944, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3433, root_relative_squared_error: 0.7949, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6682, build_cpu_time: 1.7233, build_memory: 900140287.6528, f_measure: 0.6805, kappa: 0.1323, kb_relative_information_score: 243.0288, mean_absolute_error: 0.314, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.6764, predictive_accuracy: 0.6852, prior_entropy: 0.8085, recall: 0.6852, relative_absolute_error: 0.8415, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.5333, root_relative_squared_error: 1.2347, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6435, build_cpu_time: 0.9068, build_memory: 1337446097.8799, f_measure: 0.6749, kappa: 0.1142, kb_relative_information_score: 148.5069, mean_absolute_error: 0.3207, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.6697, predictive_accuracy: 0.6808, prior_entropy: 0.8085, recall: 0.6808, relative_absolute_error: 0.8592, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.532, root_relative_squared_error: 1.2318, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5957, build_cpu_time: 0.4399, build_memory: 672690590.676, f_measure: 0.6636, kappa: 0.0822, kb_relative_information_score: -8.018, mean_absolute_error: 0.3321, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.6577, predictive_accuracy: 0.6703, prior_entropy: 0.8085, recall: 0.6703, relative_absolute_error: 0.89, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.5245, root_relative_squared_error: 1.2144, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6214, build_cpu_time: 0.3158, build_memory: 1202986226.0149, f_measure: 0.6835, kappa: 0.1195, kb_relative_information_score: 250.8626, mean_absolute_error: 0.3172, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.673, predictive_accuracy: 0.6993, prior_entropy: 0.8085, recall: 0.6993, relative_absolute_error: 0.8499, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4851, root_relative_squared_error: 1.1232, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6478, build_cpu_time: 0.1223, build_memory: 845932677.2556, f_measure: 0.6956, kappa: 0.1456, kb_relative_information_score: 332.2654, mean_absolute_error: 0.3145, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.6846, predictive_accuracy: 0.7159, prior_entropy: 0.8085, recall: 0.7159, relative_absolute_error: 0.8429, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4572, root_relative_squared_error: 1.0585, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8347, build_cpu_time: 0.2664, build_memory: 975423527.1057, f_measure: 0.8164, kappa: 0.4875, kb_relative_information_score: 1816.558, mean_absolute_error: 0.2163, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8167, predictive_accuracy: 0.8266, prior_entropy: 0.8085, recall: 0.8266, relative_absolute_error: 0.5797, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3566, root_relative_squared_error: 0.8257, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8351, build_cpu_time: 0.307, build_memory: 1070788028.2227, f_measure: 0.8164, kappa: 0.4875, kb_relative_information_score: 1819.0007, mean_absolute_error: 0.2161, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8167, predictive_accuracy: 0.8266, prior_entropy: 0.8085, recall: 0.8266, relative_absolute_error: 0.5791, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3566, root_relative_squared_error: 0.8255, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8351, build_cpu_time: 0.2987, build_memory: 744448786.413, f_measure: 0.8164, kappa: 0.4875, kb_relative_information_score: 1819.0007, mean_absolute_error: 0.2161, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8167, predictive_accuracy: 0.8266, prior_entropy: 0.8085, recall: 0.8266, relative_absolute_error: 0.5791, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3566, root_relative_squared_error: 0.8255, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8351, build_cpu_time: 0.3229, build_memory: 1944025894.5989, f_measure: 0.8164, kappa: 0.4875, kb_relative_information_score: 1819.0007, mean_absolute_error: 0.2161, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8167, predictive_accuracy: 0.8266, prior_entropy: 0.8085, recall: 0.8266, relative_absolute_error: 0.5791, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3566, root_relative_squared_error: 0.8255, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8351, build_cpu_time: 0.3126, build_memory: 3017194770.1482, f_measure: 0.8164, kappa: 0.4875, kb_relative_information_score: 1819.0007, mean_absolute_error: 0.2161, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8167, predictive_accuracy: 0.8266, prior_entropy: 0.8085, recall: 0.8266, relative_absolute_error: 0.5791, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3566, root_relative_squared_error: 0.8255, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8684, build_cpu_time: 688.7214, build_memory: 987388124.5997, f_measure: 0.8262, kappa: 0.5129, kb_relative_information_score: 1749.4001, mean_absolute_error: 0.2221, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.829, predictive_accuracy: 0.8371, prior_entropy: 0.8085, recall: 0.8371, relative_absolute_error: 0.5952, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3444, root_relative_squared_error: 0.7974, scimark_benchmark: 937.5757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8856, build_cpu_time: 1449.2917, build_memory: 41925178.9829, f_measure: 0.8296, kappa: 0.5327, kb_relative_information_score: 1895.9296, mean_absolute_error: 0.2042, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8277, predictive_accuracy: 0.8341, prior_entropy: 0.8085, recall: 0.8341, relative_absolute_error: 0.5473, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3356, root_relative_squared_error: 0.777, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8912, build_cpu_time: 2799.9617, build_memory: 70302997.3696, f_measure: 0.8374, kappa: 0.5504, kb_relative_information_score: 2074.6604, mean_absolute_error: 0.1895, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8367, predictive_accuracy: 0.8437, prior_entropy: 0.8085, recall: 0.8437, relative_absolute_error: 0.5078, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3338, root_relative_squared_error: 0.7727, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8851, build_cpu_time: 11473.8167, build_memory: 946757416.3367, f_measure: 0.8317, kappa: 0.539, kb_relative_information_score: 2173.2424, mean_absolute_error: 0.1773, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8299, predictive_accuracy: 0.836, prior_entropy: 0.8085, recall: 0.836, relative_absolute_error: 0.4751, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3548, root_relative_squared_error: 0.8215, scimark_benchmark: 931.9671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7621, build_cpu_time: 4261.48, build_memory: 2304220736.5699, f_measure: 0.8236, kappa: 0.5198, kb_relative_information_score: 2187.6102, mean_absolute_error: 0.1737, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8217, predictive_accuracy: 0.8266, prior_entropy: 0.8085, recall: 0.8266, relative_absolute_error: 0.4655, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4158, root_relative_squared_error: 0.9626, scimark_benchmark: 924.8901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7687, build_cpu_time: 2069.0703, build_memory: 1514126536.1087, f_measure: 0.8237, kappa: 0.52, kb_relative_information_score: 2188.8521, mean_absolute_error: 0.1737, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8218, predictive_accuracy: 0.8268, prior_entropy: 0.8085, recall: 0.8268, relative_absolute_error: 0.4655, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4145, root_relative_squared_error: 0.9596, scimark_benchmark: 935.1241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7808, build_cpu_time: 1014.5352, build_memory: 1052020358.8602, f_measure: 0.8209, kappa: 0.5125, kb_relative_information_score: 2141.9477, mean_absolute_error: 0.1771, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.819, predictive_accuracy: 0.824, prior_entropy: 0.8085, recall: 0.824, relative_absolute_error: 0.4746, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.416, root_relative_squared_error: 0.963, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7987, build_cpu_time: 485.9757, build_memory: 910110313.0136, f_measure: 0.8145, kappa: 0.4973, kb_relative_information_score: 2049.967, mean_absolute_error: 0.1837, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8128, predictive_accuracy: 0.8167, prior_entropy: 0.8085, recall: 0.8167, relative_absolute_error: 0.4922, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4184, root_relative_squared_error: 0.9687, scimark_benchmark: 892.8005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8247, build_cpu_time: 242.3055, build_memory: 607689739.2617, f_measure: 0.8078, kappa: 0.4812, kb_relative_information_score: 1973.1594, mean_absolute_error: 0.1884, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8066, predictive_accuracy: 0.8093, prior_entropy: 0.8085, recall: 0.8093, relative_absolute_error: 0.5048, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4166, root_relative_squared_error: 0.9646, scimark_benchmark: 937.6343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.88, build_cpu_time: 36.2496, build_memory: 1156657263.2004, f_measure: 0.836, kappa: 0.5495, kb_relative_information_score: 1891.3178, mean_absolute_error: 0.2063, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8345, predictive_accuracy: 0.8409, prior_entropy: 0.8085, recall: 0.8409, relative_absolute_error: 0.5529, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3419, root_relative_squared_error: 0.7916, scimark_benchmark: 934.2858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8851, build_cpu_time: 64.844, build_memory: 391425895.8737, f_measure: 0.8375, kappa: 0.5558, kb_relative_information_score: 1967.9634, mean_absolute_error: 0.1996, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8358, predictive_accuracy: 0.8411, prior_entropy: 0.8085, recall: 0.8411, relative_absolute_error: 0.5348, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3393, root_relative_squared_error: 0.7854, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8869, build_cpu_time: 114.365, build_memory: 1568693830.6287, f_measure: 0.8371, kappa: 0.5549, kb_relative_information_score: 2009.4453, mean_absolute_error: 0.1951, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8354, predictive_accuracy: 0.8406, prior_entropy: 0.8085, recall: 0.8406, relative_absolute_error: 0.5228, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3391, root_relative_squared_error: 0.7851, scimark_benchmark: 916.8516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8911, build_cpu_time: 217.5145, build_memory: 401038648.1017, f_measure: 0.8391, kappa: 0.5602, kb_relative_information_score: 2087.7669, mean_absolute_error: 0.1888, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8375, predictive_accuracy: 0.8428, prior_entropy: 0.8085, recall: 0.8428, relative_absolute_error: 0.5058, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3373, root_relative_squared_error: 0.781, scimark_benchmark: 902.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8917, build_cpu_time: 389.851, build_memory: 604441945.6782, f_measure: 0.8372, kappa: 0.5544, kb_relative_information_score: 2133.0614, mean_absolute_error: 0.184, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8356, predictive_accuracy: 0.8413, prior_entropy: 0.8085, recall: 0.8413, relative_absolute_error: 0.493, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3386, root_relative_squared_error: 0.7838, scimark_benchmark: 902.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8745, build_cpu_time: 3.6043, build_memory: 275605110.071, f_measure: 0.8193, kappa: 0.5059, kb_relative_information_score: 1859.7387, mean_absolute_error: 0.2061, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8171, predictive_accuracy: 0.8235, prior_entropy: 0.8085, recall: 0.8235, relative_absolute_error: 0.5521, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3527, root_relative_squared_error: 0.8166, scimark_benchmark: 939.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8745, build_cpu_time: 3.7054, build_memory: 2546580138.8374, f_measure: 0.8193, kappa: 0.5059, kb_relative_information_score: 1859.7387, mean_absolute_error: 0.2061, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8171, predictive_accuracy: 0.8235, prior_entropy: 0.8085, recall: 0.8235, relative_absolute_error: 0.5521, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3527, root_relative_squared_error: 0.8166, scimark_benchmark: 916.8516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8744, build_cpu_time: 3.5481, build_memory: 840493619.4424, f_measure: 0.8197, kappa: 0.5068, kb_relative_information_score: 1859.7662, mean_absolute_error: 0.2061, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8175, predictive_accuracy: 0.824, prior_entropy: 0.8085, recall: 0.824, relative_absolute_error: 0.5524, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3528, root_relative_squared_error: 0.8168, scimark_benchmark: 939.6298,

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