DEVELOPMENT...

A PHP Error was encountered

Severity: Warning

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

Filename: models/Log.php

Line Number: 37

Backtrace:

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

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

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

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

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

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

A PHP Error was encountered

Severity: Warning

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

Filename: models/Log.php

Line Number: 37

Backtrace:

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

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

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

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

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

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

A PHP Error was encountered

Severity: Warning

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

Filename: models/Log.php

Line Number: 37

Backtrace:

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

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

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

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

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

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

OpenML
OpenML
Supervised Classification on tecator

Supervised Classification on tecator

Task 3716 Supervised Classification tecator 537 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 study_7 under100k under1m
Issue #Downvotes for this reason By


Metric:

537 Runs

Fetching data
Fetching data
Search runs in more detail run
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, build_cpu_time: 0.5216, build_memory: 729166964.8, f_measure: 0.9208, kappa: 0.8378, kb_relative_information_score: 201.3625, mean_absolute_error: 0.0778, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9208, predictive_accuracy: 0.9208, prior_entropy: 0.984, recall: 0.9208, relative_absolute_error: 0.1591, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.268, root_relative_squared_error: 0.5421, scimark_benchmark: 930.5854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, build_cpu_time: 0.2738, build_memory: 552691792.8, f_measure: 0.9252, kappa: 0.8477, kb_relative_information_score: 203.2719, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9266, predictive_accuracy: 0.925, prior_entropy: 0.984, recall: 0.925, relative_absolute_error: 0.151, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2642, root_relative_squared_error: 0.5345, scimark_benchmark: 930.5854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9509, build_cpu_time: 0.4986, build_memory: 493618603.2, f_measure: 0.9377, kappa: 0.8729, kb_relative_information_score: 209.184, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9387, predictive_accuracy: 0.9375, prior_entropy: 0.984, recall: 0.9375, relative_absolute_error: 0.1269, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2455, root_relative_squared_error: 0.4966, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9484, build_cpu_time: 1.0454, build_memory: 694490960, f_measure: 0.9417, kappa: 0.881, kb_relative_information_score: 210.1859, mean_absolute_error: 0.0602, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9419, predictive_accuracy: 0.9417, prior_entropy: 0.984, recall: 0.9417, relative_absolute_error: 0.1232, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2427, root_relative_squared_error: 0.4909, scimark_benchmark: 916.8516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9355, build_cpu_time: 2.1009, build_memory: 572552244.8, f_measure: 0.9292, kappa: 0.8553, kb_relative_information_score: 204.8215, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9293, predictive_accuracy: 0.9292, prior_entropy: 0.984, recall: 0.9292, relative_absolute_error: 0.1449, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2659, root_relative_squared_error: 0.5379, scimark_benchmark: 873.8637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9106, build_cpu_time: 0.0319, build_memory: 760421792.8, f_measure: 0.912, kappa: 0.8194, kb_relative_information_score: 195.3009, mean_absolute_error: 0.0911, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9132, predictive_accuracy: 0.9125, prior_entropy: 0.984, recall: 0.9125, relative_absolute_error: 0.1863, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2945, root_relative_squared_error: 0.5958, scimark_benchmark: 873.8637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9106, build_cpu_time: 0.034, build_memory: 168509056, f_measure: 0.912, kappa: 0.8194, kb_relative_information_score: 195.3009, mean_absolute_error: 0.0911, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9132, predictive_accuracy: 0.9125, prior_entropy: 0.984, recall: 0.9125, relative_absolute_error: 0.1863, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2945, root_relative_squared_error: 0.5958, scimark_benchmark: 943.4039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9106, build_cpu_time: 0.0251, build_memory: 1080879277.6, f_measure: 0.912, kappa: 0.8194, kb_relative_information_score: 195.3009, mean_absolute_error: 0.0911, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9132, predictive_accuracy: 0.9125, prior_entropy: 0.984, recall: 0.9125, relative_absolute_error: 0.1863, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2945, root_relative_squared_error: 0.5958, scimark_benchmark: 907.4175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, build_cpu_time: 1.2727, build_memory: 203666970.4, f_measure: 0.9333, kappa: 0.8636, kb_relative_information_score: 208.6484, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9333, predictive_accuracy: 0.9333, prior_entropy: 0.984, recall: 0.9333, relative_absolute_error: 0.1294, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2354, root_relative_squared_error: 0.4762, scimark_benchmark: 922.3661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, build_cpu_time: 6.7114, build_memory: 1015920356.8, f_measure: 0.9417, kappa: 0.8806, kb_relative_information_score: 211.1371, mean_absolute_error: 0.058, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9417, predictive_accuracy: 0.9417, prior_entropy: 0.984, recall: 0.9417, relative_absolute_error: 0.1187, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2391, root_relative_squared_error: 0.4836, scimark_benchmark: 913.1342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9585, build_cpu_time: 3.4711, build_memory: 1735015076.8, f_measure: 0.9417, kappa: 0.8806, kb_relative_information_score: 211.8307, mean_absolute_error: 0.0565, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9417, predictive_accuracy: 0.9417, prior_entropy: 0.984, recall: 0.9417, relative_absolute_error: 0.1155, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2348, root_relative_squared_error: 0.475, scimark_benchmark: 946.6735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, build_cpu_time: 1.8158, build_memory: 665288021.6, f_measure: 0.9416, kappa: 0.8803, kb_relative_information_score: 209.0995, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9416, predictive_accuracy: 0.9417, prior_entropy: 0.984, recall: 0.9417, relative_absolute_error: 0.1276, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2432, root_relative_squared_error: 0.492, scimark_benchmark: 945.5617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, build_cpu_time: 0.9115, build_memory: 1017183366.4, f_measure: 0.9376, kappa: 0.8726, kb_relative_information_score: 209.0784, mean_absolute_error: 0.0627, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.938, predictive_accuracy: 0.9375, prior_entropy: 0.984, recall: 0.9375, relative_absolute_error: 0.1283, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.4537, scimark_benchmark: 919.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9447, build_cpu_time: 1.1765, build_memory: 139039131.2, f_measure: 0.8696, kappa: 0.732, kb_relative_information_score: 167.6195, mean_absolute_error: 0.1515, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.8723, predictive_accuracy: 0.8708, prior_entropy: 0.984, recall: 0.8708, relative_absolute_error: 0.3099, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3074, root_relative_squared_error: 0.6219, scimark_benchmark: 902.0906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9706, build_cpu_time: 0.8952, build_memory: 2277802395.2, f_measure: 0.9416, kappa: 0.8803, kb_relative_information_score: 212.5965, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9416, predictive_accuracy: 0.9417, prior_entropy: 0.984, recall: 0.9417, relative_absolute_error: 0.1123, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2297, root_relative_squared_error: 0.4647, scimark_benchmark: 909.8271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, build_cpu_time: 1.1244, build_memory: 1395637975.2, f_measure: 0.9081, kappa: 0.8115, kb_relative_information_score: 193.5359, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9083, predictive_accuracy: 0.9083, prior_entropy: 0.984, recall: 0.9083, relative_absolute_error: 0.1942, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2658, root_relative_squared_error: 0.5376, scimark_benchmark: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, build_cpu_time: 0.1207, build_memory: 153745015.2, f_measure: 0.904, kappa: 0.8032, kb_relative_information_score: 150.7809, mean_absolute_error: 0.2014, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9041, predictive_accuracy: 0.9042, prior_entropy: 0.984, recall: 0.9042, relative_absolute_error: 0.412, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2708, root_relative_squared_error: 0.5478, scimark_benchmark: 946.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9113, build_cpu_time: 0.1127, build_memory: 128643194.4, f_measure: 0.8876, kappa: 0.7701, kb_relative_information_score: 168.8733, mean_absolute_error: 0.1538, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.8877, predictive_accuracy: 0.8875, prior_entropy: 0.984, recall: 0.8875, relative_absolute_error: 0.3146, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3142, root_relative_squared_error: 0.6356, scimark_benchmark: 933.9469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9106, build_cpu_time: 0.0003, build_memory: 1043349531.2, f_measure: 0.912, kappa: 0.8194, kb_relative_information_score: 195.3009, mean_absolute_error: 0.0911, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9132, predictive_accuracy: 0.9125, prior_entropy: 0.984, recall: 0.9125, relative_absolute_error: 0.1863, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2945, root_relative_squared_error: 0.5958, scimark_benchmark: 945.4085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6999, build_cpu_time: 0.0424, build_memory: 1164424919.2, f_measure: 0.7146, kappa: 0.4307, kb_relative_information_score: 111.8812, mean_absolute_error: 0.2583, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.7974, predictive_accuracy: 0.7417, prior_entropy: 0.984, recall: 0.7417, relative_absolute_error: 0.5285, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5083, root_relative_squared_error: 1.0282, scimark_benchmark: 945.4085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9352, build_cpu_time: 0.0167, build_memory: 453972405.6, f_measure: 0.9413, kappa: 0.8794, kb_relative_information_score: 211.0193, mean_absolute_error: 0.0583, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9431, predictive_accuracy: 0.9417, prior_entropy: 0.984, recall: 0.9417, relative_absolute_error: 0.1193, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2415, root_relative_squared_error: 0.4886, scimark_benchmark: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9209, build_cpu_time: 0.0842, build_memory: 937053417.6, f_measure: 0.921, kappa: 0.8386, kb_relative_information_score: 200.6925, mean_absolute_error: 0.0792, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9214, predictive_accuracy: 0.9208, prior_entropy: 0.984, recall: 0.9208, relative_absolute_error: 0.1619, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2814, root_relative_squared_error: 0.5692, scimark_benchmark: 945.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.913, build_cpu_time: 0.0633, build_memory: 155307377.6, f_measure: 0.9204, kappa: 0.8366, kb_relative_information_score: 200.6753, mean_absolute_error: 0.0792, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9216, predictive_accuracy: 0.9208, prior_entropy: 0.984, recall: 0.9208, relative_absolute_error: 0.162, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2814, root_relative_squared_error: 0.5692, scimark_benchmark: 943.1817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4864, build_cpu_time: 0.0005, build_memory: 451111573.6, f_measure: 0.4198, kb_relative_information_score: -0.0719, mean_absolute_error: 0.4889, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.3306, predictive_accuracy: 0.575, prior_entropy: 0.984, recall: 0.575, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4944, root_relative_squared_error: 1.0001, scimark_benchmark: 922.2602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8384, build_cpu_time: 0.1125, build_memory: 549473637.6, f_measure: 0.8541, kappa: 0.7002, kb_relative_information_score: 169.7118, mean_absolute_error: 0.1417, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.8724, predictive_accuracy: 0.8583, prior_entropy: 0.984, recall: 0.8583, relative_absolute_error: 0.2898, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3764, root_relative_squared_error: 0.7614, scimark_benchmark: 943.6737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, build_cpu_time: 1.0194, build_memory: 1335119535.2, f_measure: 0.95, kappa: 0.8977, kb_relative_information_score: 209.1166, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.95, predictive_accuracy: 0.95, prior_entropy: 0.984, recall: 0.95, relative_absolute_error: 0.1355, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.1883, root_relative_squared_error: 0.3809, scimark_benchmark: 933.5169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, build_cpu_time: 1.03, build_memory: 477677613.6, f_measure: 0.95, kappa: 0.8977, kb_relative_information_score: 209.1166, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.95, predictive_accuracy: 0.95, prior_entropy: 0.984, recall: 0.95, relative_absolute_error: 0.1355, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.1883, root_relative_squared_error: 0.3809, scimark_benchmark: 946.5567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, build_cpu_time: 0.3569, build_memory: 397240299.2, f_measure: 0.933, kappa: 0.8625, kb_relative_information_score: 207.7044, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9339, predictive_accuracy: 0.9333, prior_entropy: 0.984, recall: 0.9333, relative_absolute_error: 0.1351, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2167, root_relative_squared_error: 0.4383, scimark_benchmark: 916.7338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, build_cpu_time: 0.3787, build_memory: 913073772, f_measure: 0.933, kappa: 0.8625, kb_relative_information_score: 207.7044, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9339, predictive_accuracy: 0.9333, prior_entropy: 0.984, recall: 0.9333, relative_absolute_error: 0.1351, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2167, root_relative_squared_error: 0.4383, scimark_benchmark: 894.2099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9702, build_cpu_time: 0.7349, build_memory: 618748585.6, f_measure: 0.9414, kappa: 0.8797, kb_relative_information_score: 208.2024, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9424, predictive_accuracy: 0.9417, prior_entropy: 0.984, recall: 0.9417, relative_absolute_error: 0.1342, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2172, root_relative_squared_error: 0.4394, scimark_benchmark: 929.8923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9702, build_cpu_time: 0.7232, build_memory: 654980988, f_measure: 0.9414, kappa: 0.8797, kb_relative_information_score: 208.2024, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9424, predictive_accuracy: 0.9417, prior_entropy: 0.984, recall: 0.9417, relative_absolute_error: 0.1342, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2172, root_relative_squared_error: 0.4394, scimark_benchmark: 946.5567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, build_cpu_time: 1.5159, build_memory: 617753497.6, f_measure: 0.9413, kappa: 0.8794, kb_relative_information_score: 207.9732, mean_absolute_error: 0.0664, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9431, predictive_accuracy: 0.9417, prior_entropy: 0.984, recall: 0.9417, relative_absolute_error: 0.1357, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2152, root_relative_squared_error: 0.4353, scimark_benchmark: 946.5993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, build_cpu_time: 2.7914, build_memory: 1126508649.6, f_measure: 0.9413, kappa: 0.8794, kb_relative_information_score: 208.136, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9431, predictive_accuracy: 0.9417, prior_entropy: 0.984, recall: 0.9417, relative_absolute_error: 0.135, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2159, root_relative_squared_error: 0.4367, scimark_benchmark: 902.5808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, build_cpu_time: 1.1593, build_memory: 653589328.8, f_measure: 0.9251, kappa: 0.8469, kb_relative_information_score: 174.6134, mean_absolute_error: 0.1444, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9253, predictive_accuracy: 0.925, prior_entropy: 0.984, recall: 0.925, relative_absolute_error: 0.2953, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2487, root_relative_squared_error: 0.5031, scimark_benchmark: 941.3563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, build_cpu_time: 0.9938, build_memory: 309469422.4, f_measure: 0.9251, kappa: 0.8469, kb_relative_information_score: 174.6134, mean_absolute_error: 0.1444, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9253, predictive_accuracy: 0.925, prior_entropy: 0.984, recall: 0.925, relative_absolute_error: 0.2953, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2487, root_relative_squared_error: 0.5031, scimark_benchmark: 933.4451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, build_cpu_time: 1.0027, build_memory: 715926594.4, f_measure: 0.9251, kappa: 0.8469, kb_relative_information_score: 174.6134, mean_absolute_error: 0.1444, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9253, predictive_accuracy: 0.925, prior_entropy: 0.984, recall: 0.925, relative_absolute_error: 0.2953, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2487, root_relative_squared_error: 0.5031, scimark_benchmark: 938.8806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, build_cpu_time: 0.6401, build_memory: 858868188, f_measure: 0.9124, kappa: 0.8207, kb_relative_information_score: 174.0615, mean_absolute_error: 0.1457, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9124, predictive_accuracy: 0.9125, prior_entropy: 0.984, recall: 0.9125, relative_absolute_error: 0.2981, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2489, root_relative_squared_error: 0.5035, scimark_benchmark: 939.8999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, build_cpu_time: 0.6216, build_memory: 928243540, f_measure: 0.9124, kappa: 0.8207, kb_relative_information_score: 174.0615, mean_absolute_error: 0.1457, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9124, predictive_accuracy: 0.9125, prior_entropy: 0.984, recall: 0.9125, relative_absolute_error: 0.2981, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2489, root_relative_squared_error: 0.5035, scimark_benchmark: 943.4766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, build_cpu_time: 0.2868, build_memory: 1011039349.6, f_measure: 0.9041, kappa: 0.8037, kb_relative_information_score: 173.5207, mean_absolute_error: 0.1462, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9041, predictive_accuracy: 0.9042, prior_entropy: 0.984, recall: 0.9042, relative_absolute_error: 0.2991, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2513, root_relative_squared_error: 0.5083, scimark_benchmark: 947.4258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, build_cpu_time: 0.3115, build_memory: 2473778668, f_measure: 0.9041, kappa: 0.8037, kb_relative_information_score: 173.5207, mean_absolute_error: 0.1462, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9041, predictive_accuracy: 0.9042, prior_entropy: 0.984, recall: 0.9042, relative_absolute_error: 0.2991, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2513, root_relative_squared_error: 0.5083, scimark_benchmark: 949.2096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9501, build_cpu_time: 0.0195, build_memory: 260370167.2, f_measure: 0.896, kappa: 0.7877, kb_relative_information_score: 149.9005, mean_absolute_error: 0.1983, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.8965, predictive_accuracy: 0.8958, prior_entropy: 0.984, recall: 0.8958, relative_absolute_error: 0.4057, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2945, root_relative_squared_error: 0.5958, scimark_benchmark: 943.4766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.962, build_cpu_time: 0.0389, build_memory: 3610281279.2, f_measure: 0.8958, kappa: 0.7866, kb_relative_information_score: 151.1138, mean_absolute_error: 0.1981, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.8957, predictive_accuracy: 0.8958, prior_entropy: 0.984, recall: 0.8958, relative_absolute_error: 0.4053, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2823, root_relative_squared_error: 0.571, scimark_benchmark: 941.5201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, build_cpu_time: 0.1332, build_memory: 861777222.4, f_measure: 0.9081, kappa: 0.8115, kb_relative_information_score: 151.5251, mean_absolute_error: 0.1995, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9083, predictive_accuracy: 0.9083, prior_entropy: 0.984, recall: 0.9083, relative_absolute_error: 0.4082, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2717, root_relative_squared_error: 0.5496, scimark_benchmark: 874.7213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, build_cpu_time: 13.1666, build_memory: 3020470531.2, f_measure: 0.9124, kappa: 0.8207, kb_relative_information_score: 143.8678, mean_absolute_error: 0.2195, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9124, predictive_accuracy: 0.9125, prior_entropy: 0.984, recall: 0.9125, relative_absolute_error: 0.449, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2746, root_relative_squared_error: 0.5555, scimark_benchmark: 927.2522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, build_cpu_time: 0.9908, build_memory: 1535186460.8, f_measure: 0.9124, kappa: 0.8207, kb_relative_information_score: 143.4542, mean_absolute_error: 0.2201, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9124, predictive_accuracy: 0.9125, prior_entropy: 0.984, recall: 0.9125, relative_absolute_error: 0.4503, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2766, root_relative_squared_error: 0.5595, scimark_benchmark: 940.6012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, build_cpu_time: 0.8738, build_memory: 1086470824.8, f_measure: 0.9124, kappa: 0.8207, kb_relative_information_score: 143.4542, mean_absolute_error: 0.2201, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9124, predictive_accuracy: 0.9125, prior_entropy: 0.984, recall: 0.9125, relative_absolute_error: 0.4503, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2766, root_relative_squared_error: 0.5595, scimark_benchmark: 941.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, build_cpu_time: 8.4552, build_memory: 1255604828.8, f_measure: 0.9415, kappa: 0.88, kb_relative_information_score: 194.205, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9419, predictive_accuracy: 0.9417, prior_entropy: 0.984, recall: 0.9417, relative_absolute_error: 0.2045, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2136, root_relative_squared_error: 0.4321, scimark_benchmark: 943.2191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9463, build_cpu_time: 0.1285, build_memory: 1186778408.8, f_measure: 0.8791, kappa: 0.7525, kb_relative_information_score: 174.2202, mean_absolute_error: 0.1346, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.879, predictive_accuracy: 0.8792, prior_entropy: 0.984, recall: 0.8792, relative_absolute_error: 0.2753, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2975, root_relative_squared_error: 0.6019, scimark_benchmark: 910.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9463, build_cpu_time: 0.1728, build_memory: 324058615.2, f_measure: 0.8791, kappa: 0.7525, kb_relative_information_score: 174.2202, mean_absolute_error: 0.1346, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.879, predictive_accuracy: 0.8792, prior_entropy: 0.984, recall: 0.8792, relative_absolute_error: 0.2753, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2975, root_relative_squared_error: 0.6019, scimark_benchmark: 938.3567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9444, build_cpu_time: 0.2632, build_memory: 957941792.8, f_measure: 0.8791, kappa: 0.7525, kb_relative_information_score: 173.918, mean_absolute_error: 0.1363, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.879, predictive_accuracy: 0.8792, prior_entropy: 0.984, recall: 0.8792, relative_absolute_error: 0.2787, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2959, root_relative_squared_error: 0.5986, scimark_benchmark: 940.6012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9444, build_cpu_time: 0.3287, build_memory: 157149144.8, f_measure: 0.8791, kappa: 0.7525, kb_relative_information_score: 173.918, mean_absolute_error: 0.1363, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.879, predictive_accuracy: 0.8792, prior_entropy: 0.984, recall: 0.8792, relative_absolute_error: 0.2787, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2959, root_relative_squared_error: 0.5986, scimark_benchmark: 910.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, build_cpu_time: 2.129, build_memory: 720274032.8, f_measure: 0.9457, kappa: 0.8887, kb_relative_information_score: 196.7316, mean_absolute_error: 0.0953, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9459, predictive_accuracy: 0.9458, prior_entropy: 0.984, recall: 0.9458, relative_absolute_error: 0.1949, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2078, root_relative_squared_error: 0.4203, scimark_benchmark: 943.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, build_cpu_time: 2.1527, build_memory: 702261675.2, f_measure: 0.9457, kappa: 0.8887, kb_relative_information_score: 196.7316, mean_absolute_error: 0.0953, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9459, predictive_accuracy: 0.9458, prior_entropy: 0.984, recall: 0.9458, relative_absolute_error: 0.1949, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2078, root_relative_squared_error: 0.4203, scimark_benchmark: 941.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9499, build_cpu_time: 0.9665, build_memory: 182324900.8, f_measure: 0.8873, kappa: 0.7689, kb_relative_information_score: 176.6663, mean_absolute_error: 0.1312, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.8873, predictive_accuracy: 0.8875, prior_entropy: 0.984, recall: 0.8875, relative_absolute_error: 0.2683, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2887, root_relative_squared_error: 0.584, scimark_benchmark: 940.6012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9499, build_cpu_time: 0.8794, build_memory: 124579580, f_measure: 0.8873, kappa: 0.7689, kb_relative_information_score: 176.6663, mean_absolute_error: 0.1312, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.8873, predictive_accuracy: 0.8875, prior_entropy: 0.984, recall: 0.8875, relative_absolute_error: 0.2683, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2887, root_relative_squared_error: 0.584, scimark_benchmark: 943.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.755, build_cpu_time: 0.8103, build_memory: 422194740, f_measure: 0.6529, kappa: 0.2879, kb_relative_information_score: 73.8118, mean_absolute_error: 0.3348, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.6522, predictive_accuracy: 0.6542, prior_entropy: 0.984, recall: 0.6542, relative_absolute_error: 0.6848, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5413, root_relative_squared_error: 1.095, scimark_benchmark: 785.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.755, build_cpu_time: 0.6237, build_memory: 764679205.6, f_measure: 0.6529, kappa: 0.2879, kb_relative_information_score: 73.8118, mean_absolute_error: 0.3348, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.6522, predictive_accuracy: 0.6542, prior_entropy: 0.984, recall: 0.6542, relative_absolute_error: 0.6848, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5413, root_relative_squared_error: 1.095, scimark_benchmark: 939.6798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6712, build_cpu_time: 0.0596, build_memory: 83481668.8, f_measure: 0.6607, kappa: 0.3032, kb_relative_information_score: 72.1808, mean_absolute_error: 0.3389, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.66, predictive_accuracy: 0.6625, prior_entropy: 0.984, recall: 0.6625, relative_absolute_error: 0.6933, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5743, root_relative_squared_error: 1.1618, scimark_benchmark: 929.0695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, build_cpu_time: 2396.2218, build_memory: 1505643786.4, f_measure: 0.9457, kappa: 0.8887, kb_relative_information_score: 206.9728, mean_absolute_error: 0.0709, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9459, predictive_accuracy: 0.9458, prior_entropy: 0.984, recall: 0.9458, relative_absolute_error: 0.1451, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.1925, root_relative_squared_error: 0.3894, scimark_benchmark: 926.0297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, build_cpu_time: 3127.5988, build_memory: 814538408, f_measure: 0.9457, kappa: 0.8887, kb_relative_information_score: 206.9876, mean_absolute_error: 0.0706, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9459, predictive_accuracy: 0.9458, prior_entropy: 0.984, recall: 0.9458, relative_absolute_error: 0.1444, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.1933, root_relative_squared_error: 0.3911, scimark_benchmark: 942.7079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9459, build_cpu_time: 0.0213, build_memory: 970370949.6, f_measure: 0.8798, kappa: 0.7568, kb_relative_information_score: 157.6793, mean_absolute_error: 0.1814, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.8856, predictive_accuracy: 0.8792, prior_entropy: 0.984, recall: 0.8792, relative_absolute_error: 0.371, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2812, root_relative_squared_error: 0.5689, scimark_benchmark: 943.0515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9537, build_cpu_time: 6.6421, build_memory: 806561330.4, f_measure: 0.9457, kappa: 0.8887, kb_relative_information_score: 213.4883, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9459, predictive_accuracy: 0.9458, prior_entropy: 0.984, recall: 0.9458, relative_absolute_error: 0.1087, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2286, root_relative_squared_error: 0.4624, scimark_benchmark: 941.4198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.946, build_cpu_time: 0.0154, build_memory: 56584081.6, f_measure: 0.8798, kappa: 0.7568, kb_relative_information_score: 157.8593, mean_absolute_error: 0.1809, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.8856, predictive_accuracy: 0.8792, prior_entropy: 0.984, recall: 0.8792, relative_absolute_error: 0.37, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2816, root_relative_squared_error: 0.5696, scimark_benchmark: 872.1114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9459, build_cpu_time: 0.0071, build_memory: 1991273094.4, f_measure: 0.8757, kappa: 0.7494, kb_relative_information_score: 157.4072, mean_absolute_error: 0.1815, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.8842, predictive_accuracy: 0.875, prior_entropy: 0.984, recall: 0.875, relative_absolute_error: 0.3714, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2854, root_relative_squared_error: 0.5773, scimark_benchmark: 824.2652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, build_cpu_time: 1.982, build_memory: 60455185.6, f_measure: 0.9541, kappa: 0.9061, kb_relative_information_score: 218.3649, mean_absolute_error: 0.0431, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9541, predictive_accuracy: 0.9542, prior_entropy: 0.984, recall: 0.9542, relative_absolute_error: 0.0882, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2029, root_relative_squared_error: 0.4104, scimark_benchmark: 942.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9498, build_cpu_time: 0.003, build_memory: 1497448187.2, f_measure: 0.8757, kappa: 0.7494, kb_relative_information_score: 158.4302, mean_absolute_error: 0.1788, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.8842, predictive_accuracy: 0.875, prior_entropy: 0.984, recall: 0.875, relative_absolute_error: 0.3658, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2873, root_relative_squared_error: 0.5811, scimark_benchmark: 944.9147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9443, build_cpu_time: 0.0012, build_memory: 526857811.2, f_measure: 0.8716, kappa: 0.7413, kb_relative_information_score: 157.0831, mean_absolute_error: 0.1811, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.881, predictive_accuracy: 0.8708, prior_entropy: 0.984, recall: 0.8708, relative_absolute_error: 0.3704, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2968, root_relative_squared_error: 0.6003, scimark_benchmark: 813.0234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, build_cpu_time: 3.9612, build_memory: 1867843142.4, f_measure: 0.9583, kappa: 0.9147, kb_relative_information_score: 205.127, mean_absolute_error: 0.0771, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9583, predictive_accuracy: 0.9583, prior_entropy: 0.984, recall: 0.9583, relative_absolute_error: 0.1578, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.1847, root_relative_squared_error: 0.3736, scimark_benchmark: 876.9475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, build_cpu_time: 9.5317, build_memory: 852039005.6, f_measure: 0.9541, kappa: 0.9061, kb_relative_information_score: 204.7505, mean_absolute_error: 0.0779, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9541, predictive_accuracy: 0.9542, prior_entropy: 0.984, recall: 0.9542, relative_absolute_error: 0.1593, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.1855, root_relative_squared_error: 0.3753, scimark_benchmark: 941.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, build_cpu_time: 19.0559, build_memory: 1410976158.4, f_measure: 0.9583, kappa: 0.9147, kb_relative_information_score: 203.3019, mean_absolute_error: 0.0814, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9583, predictive_accuracy: 0.9583, prior_entropy: 0.984, recall: 0.9583, relative_absolute_error: 0.1666, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.1873, root_relative_squared_error: 0.3788, scimark_benchmark: 941.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, build_cpu_time: 35.7462, build_memory: 511104549.6, f_measure: 0.9625, kappa: 0.9232, kb_relative_information_score: 203.2621, mean_absolute_error: 0.0817, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9625, predictive_accuracy: 0.9625, prior_entropy: 0.984, recall: 0.9625, relative_absolute_error: 0.1672, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.1862, root_relative_squared_error: 0.3766, scimark_benchmark: 934.3289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, build_cpu_time: 70.6547, build_memory: 2032384366.4, f_measure: 0.9625, kappa: 0.9232, kb_relative_information_score: 203.2647, mean_absolute_error: 0.0817, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9625, predictive_accuracy: 0.9625, prior_entropy: 0.984, recall: 0.9625, relative_absolute_error: 0.1671, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.1866, root_relative_squared_error: 0.3776, scimark_benchmark: 942.7014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9517, build_cpu_time: 13.4647, build_memory: 1063084305.6, f_measure: 0.9417, kappa: 0.8806, kb_relative_information_score: 211.0282, mean_absolute_error: 0.0583, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9417, predictive_accuracy: 0.9417, prior_entropy: 0.984, recall: 0.9417, relative_absolute_error: 0.1193, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2414, root_relative_squared_error: 0.4884, scimark_benchmark: 944.7154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9562, build_cpu_time: 6.7299, build_memory: 1558851816.8, f_measure: 0.9459, kappa: 0.8893, kb_relative_information_score: 213.4769, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9459, predictive_accuracy: 0.9458, prior_entropy: 0.984, recall: 0.9458, relative_absolute_error: 0.1091, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2277, root_relative_squared_error: 0.4607, scimark_benchmark: 941.2105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.954, build_cpu_time: 5.0238, build_memory: 554919511.2, f_measure: 0.9375, kappa: 0.872, kb_relative_information_score: 209.0657, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9375, predictive_accuracy: 0.9375, prior_entropy: 0.984, recall: 0.9375, relative_absolute_error: 0.1273, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2479, root_relative_squared_error: 0.5014, scimark_benchmark: 928.3063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9604, build_cpu_time: 1.8347, build_memory: 637549369.6, f_measure: 0.9499, kappa: 0.8974, kb_relative_information_score: 215.087, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.95, predictive_accuracy: 0.95, prior_entropy: 0.984, recall: 0.95, relative_absolute_error: 0.1026, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2235, root_relative_squared_error: 0.452, scimark_benchmark: 941.4059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9604, build_cpu_time: 1.6922, build_memory: 937757559.2, f_measure: 0.9499, kappa: 0.8974, kb_relative_information_score: 215.087, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.95, predictive_accuracy: 0.95, prior_entropy: 0.984, recall: 0.95, relative_absolute_error: 0.1026, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2235, root_relative_squared_error: 0.452, scimark_benchmark: 931.9798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9547, build_cpu_time: 0.8704, build_memory: 1299257836, f_measure: 0.9333, kappa: 0.8636, kb_relative_information_score: 207.8434, mean_absolute_error: 0.0644, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9333, predictive_accuracy: 0.9333, prior_entropy: 0.984, recall: 0.9333, relative_absolute_error: 0.1316, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2423, root_relative_squared_error: 0.4901, scimark_benchmark: 941.5665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, build_cpu_time: 2.9985, build_memory: 772335135.2, f_measure: 0.9168, kappa: 0.8299, kb_relative_information_score: 180.0304, mean_absolute_error: 0.1335, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.917, predictive_accuracy: 0.9167, prior_entropy: 0.984, recall: 0.9167, relative_absolute_error: 0.273, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2368, root_relative_squared_error: 0.479, scimark_benchmark: 938.1098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, build_cpu_time: 5.9447, build_memory: 1740083024.8, f_measure: 0.9208, kappa: 0.8378, kb_relative_information_score: 180.5877, mean_absolute_error: 0.132, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9208, predictive_accuracy: 0.9208, prior_entropy: 0.984, recall: 0.9208, relative_absolute_error: 0.27, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2365, root_relative_squared_error: 0.4785, scimark_benchmark: 940.1168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, build_cpu_time: 1.7279, build_memory: 689013930.4, f_measure: 0.9082, kappa: 0.812, kb_relative_information_score: 183.4451, mean_absolute_error: 0.1227, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9082, predictive_accuracy: 0.9083, prior_entropy: 0.984, recall: 0.9083, relative_absolute_error: 0.2509, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2341, root_relative_squared_error: 0.4736, scimark_benchmark: 939.3036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, build_cpu_time: 0.9199, build_memory: 1056623072.8, f_measure: 0.9126, kappa: 0.8212, kb_relative_information_score: 183.1213, mean_absolute_error: 0.1232, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9126, predictive_accuracy: 0.9125, prior_entropy: 0.984, recall: 0.9125, relative_absolute_error: 0.252, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.236, root_relative_squared_error: 0.4773, scimark_benchmark: 933.8695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, build_cpu_time: 1.0321, build_memory: 26571753.6, f_measure: 0.9126, kappa: 0.8212, kb_relative_information_score: 183.1213, mean_absolute_error: 0.1232, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9126, predictive_accuracy: 0.9125, prior_entropy: 0.984, recall: 0.9125, relative_absolute_error: 0.252, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.236, root_relative_squared_error: 0.4773, scimark_benchmark: 863.1824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, build_cpu_time: 0.4795, build_memory: 2858432725.6, f_measure: 0.9166, kappa: 0.8291, kb_relative_information_score: 183.4403, mean_absolute_error: 0.1217, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9166, predictive_accuracy: 0.9167, prior_entropy: 0.984, recall: 0.9167, relative_absolute_error: 0.249, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2381, root_relative_squared_error: 0.4816, scimark_benchmark: 947.6892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, build_cpu_time: 0.2315, build_memory: 109631087.2, f_measure: 0.8997, kappa: 0.7943, kb_relative_information_score: 182.1545, mean_absolute_error: 0.1231, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.8999, predictive_accuracy: 0.9, prior_entropy: 0.984, recall: 0.9, relative_absolute_error: 0.2519, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.244, root_relative_squared_error: 0.4936, scimark_benchmark: 938.9629,

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