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 breast-w

Supervised Classification on breast-w

Task 15 Supervised Classification breast-w 24605 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • at2 basic mythbusting mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_50 study_70 study_98 study_99 under100k under1m
Issue #Downvotes for this reason By


Metric:

24605 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail run
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, build_cpu_time: 0.175, build_memory: 456454827.9027, f_measure: 0.9544, kappa: 0.8995, kb_relative_information_score: 625.9321, mean_absolute_error: 0.0448, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9548, predictive_accuracy: 0.9542, prior_entropy: 0.9297, recall: 0.9542, relative_absolute_error: 0.0992, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2073, root_relative_squared_error: 0.4361, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, build_cpu_time: 0.1195, build_memory: 402520394.3348, f_measure: 0.9601, kappa: 0.912, kb_relative_information_score: 633.6341, mean_absolute_error: 0.0403, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9605, predictive_accuracy: 0.9599, prior_entropy: 0.9297, recall: 0.9599, relative_absolute_error: 0.0891, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1909, root_relative_squared_error: 0.4017, scimark_benchmark: 935.6292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, build_cpu_time: 0.0681, build_memory: 1504826324.0172, f_measure: 0.9657, kappa: 0.9242, kb_relative_information_score: 642.4995, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9657, predictive_accuracy: 0.9657, prior_entropy: 0.9297, recall: 0.9657, relative_absolute_error: 0.0776, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1822, root_relative_squared_error: 0.3833, scimark_benchmark: 917.4547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, build_cpu_time: 0.1462, build_memory: 74539586.1745, f_measure: 0.96, kappa: 0.9115, kb_relative_information_score: 636.1561, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.96, predictive_accuracy: 0.9599, prior_entropy: 0.9297, recall: 0.9599, relative_absolute_error: 0.0853, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1937, root_relative_squared_error: 0.4076, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9698, build_cpu_time: 0.2908, build_memory: 710427876.5322, f_measure: 0.9658, kappa: 0.9245, kb_relative_information_score: 643.206, mean_absolute_error: 0.0344, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.966, predictive_accuracy: 0.9657, prior_entropy: 0.9297, recall: 0.9657, relative_absolute_error: 0.0762, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1853, root_relative_squared_error: 0.3898, scimark_benchmark: 923.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, build_cpu_time: 0.5664, build_memory: 851124456.0114, f_measure: 0.9643, kappa: 0.9212, kb_relative_information_score: 641.2158, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9645, predictive_accuracy: 0.9642, prior_entropy: 0.9297, recall: 0.9642, relative_absolute_error: 0.0787, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1882, root_relative_squared_error: 0.396, scimark_benchmark: 908.2898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, build_cpu_time: 1.0073, build_memory: 487568092.4063, f_measure: 0.9658, kappa: 0.9246, kb_relative_information_score: 643.9055, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9662, predictive_accuracy: 0.9657, prior_entropy: 0.9297, recall: 0.9657, relative_absolute_error: 0.0749, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1829, root_relative_squared_error: 0.3848, scimark_benchmark: 916.1588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, build_cpu_time: 0.1902, build_memory: 1105089454.0773, f_measure: 0.957, kappa: 0.9048, kb_relative_information_score: 632.2789, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.957, predictive_accuracy: 0.9571, prior_entropy: 0.9297, recall: 0.9571, relative_absolute_error: 0.092, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.199, root_relative_squared_error: 0.4186, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, build_cpu_time: 0.0949, build_memory: 647286827.9714, f_measure: 0.9557, kappa: 0.9019, kb_relative_information_score: 623.6732, mean_absolute_error: 0.0477, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9557, predictive_accuracy: 0.9557, prior_entropy: 0.9297, recall: 0.9557, relative_absolute_error: 0.1055, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.188, root_relative_squared_error: 0.3955, scimark_benchmark: 945.0554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, build_cpu_time: 0.2528, build_memory: 68364909.3677, f_measure: 0.9557, kappa: 0.9019, kb_relative_information_score: 626.9383, mean_absolute_error: 0.0454, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9557, predictive_accuracy: 0.9557, prior_entropy: 0.9297, recall: 0.9557, relative_absolute_error: 0.1004, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1888, root_relative_squared_error: 0.3972, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, build_cpu_time: 2.1445, build_memory: 431604059.4678, f_measure: 0.9643, kappa: 0.9211, kb_relative_information_score: 641.1122, mean_absolute_error: 0.0357, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9644, predictive_accuracy: 0.9642, prior_entropy: 0.9297, recall: 0.9642, relative_absolute_error: 0.0789, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1885, root_relative_squared_error: 0.3967, scimark_benchmark: 923.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, build_cpu_time: 1.0348, build_memory: 1009981913.1216, f_measure: 0.9657, kappa: 0.9242, kb_relative_information_score: 642.7937, mean_absolute_error: 0.0347, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9657, predictive_accuracy: 0.9657, prior_entropy: 0.9297, recall: 0.9657, relative_absolute_error: 0.0768, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1844, root_relative_squared_error: 0.388, scimark_benchmark: 926.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, build_cpu_time: 0.6298, build_memory: 192029064.1373, f_measure: 0.9614, kappa: 0.9144, kb_relative_information_score: 637.7377, mean_absolute_error: 0.0379, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9613, predictive_accuracy: 0.9614, prior_entropy: 0.9297, recall: 0.9614, relative_absolute_error: 0.0838, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1909, root_relative_squared_error: 0.4016, scimark_benchmark: 908.1651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, build_cpu_time: 0.3632, build_memory: 717749172.4063, f_measure: 0.9614, kappa: 0.9148, kb_relative_information_score: 635.1061, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9615, predictive_accuracy: 0.9614, prior_entropy: 0.9297, recall: 0.9614, relative_absolute_error: 0.0878, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.4078, scimark_benchmark: 913.4921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, build_cpu_time: 0.3246, build_memory: 321277625.5222, f_measure: 0.9643, kappa: 0.9211, kb_relative_information_score: 640.3206, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9644, predictive_accuracy: 0.9642, prior_entropy: 0.9297, recall: 0.9642, relative_absolute_error: 0.0802, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1855, root_relative_squared_error: 0.3903, scimark_benchmark: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, build_cpu_time: 0.006, build_memory: 887761024.5951, f_measure: 0.9715, kappa: 0.937, kb_relative_information_score: 642.0291, mean_absolute_error: 0.037, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9717, predictive_accuracy: 0.9714, prior_entropy: 0.9297, recall: 0.9714, relative_absolute_error: 0.0818, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1596, root_relative_squared_error: 0.3359, scimark_benchmark: 942.4411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, build_cpu_time: 0.1285, build_memory: 880789539.9485, f_measure: 0.97, kappa: 0.9338, kb_relative_information_score: 611.8371, mean_absolute_error: 0.061, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9702, predictive_accuracy: 0.97, prior_entropy: 0.9297, recall: 0.97, relative_absolute_error: 0.1349, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1652, root_relative_squared_error: 0.3476, scimark_benchmark: 946.9374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, build_cpu_time: 0.0365, build_memory: 219840548.2461, f_measure: 0.9516, kappa: 0.8936, kb_relative_information_score: 605.1372, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9525, predictive_accuracy: 0.9514, prior_entropy: 0.9297, recall: 0.9514, relative_absolute_error: 0.1378, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2058, root_relative_squared_error: 0.4331, scimark_benchmark: 943.1817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, build_cpu_time: 0.0002, build_memory: 398583731.0443, f_measure: 0.957, kappa: 0.9048, kb_relative_information_score: 632.2789, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.957, predictive_accuracy: 0.9571, prior_entropy: 0.9297, recall: 0.9571, relative_absolute_error: 0.092, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.199, root_relative_squared_error: 0.4186, scimark_benchmark: 943.1817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9527, build_cpu_time: 0.0912, build_memory: 1332704364.269, f_measure: 0.9598, kappa: 0.9108, kb_relative_information_score: 634.0831, mean_absolute_error: 0.0401, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9599, predictive_accuracy: 0.9599, prior_entropy: 0.9297, recall: 0.9599, relative_absolute_error: 0.0886, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2001, root_relative_squared_error: 0.4211, scimark_benchmark: 915.7861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.963, build_cpu_time: 0.0078, build_memory: 157596534.4664, f_measure: 0.9657, kappa: 0.9242, kb_relative_information_score: 643.313, mean_absolute_error: 0.0343, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9657, predictive_accuracy: 0.9657, prior_entropy: 0.9297, recall: 0.9657, relative_absolute_error: 0.076, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1853, root_relative_squared_error: 0.3899, scimark_benchmark: 926.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, build_cpu_time: 0.0436, build_memory: 66536866.0486, f_measure: 0.9643, kappa: 0.9211, kb_relative_information_score: 641.0055, mean_absolute_error: 0.0358, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9644, predictive_accuracy: 0.9642, prior_entropy: 0.9297, recall: 0.9642, relative_absolute_error: 0.0791, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1891, root_relative_squared_error: 0.3979, scimark_benchmark: 948.6597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, build_cpu_time: 0.0217, build_memory: 582484888.1259, f_measure: 0.9657, kappa: 0.924, kb_relative_information_score: 626.2672, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9657, predictive_accuracy: 0.9657, prior_entropy: 0.9297, recall: 0.9657, relative_absolute_error: 0.108, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1655, root_relative_squared_error: 0.3482, scimark_benchmark: 941.5899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, build_cpu_time: 0.0014, build_memory: 699763659.7082, f_measure: 0.9616, kappa: 0.9158, kb_relative_information_score: 636.2096, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9628, predictive_accuracy: 0.9614, prior_entropy: 0.9297, recall: 0.9614, relative_absolute_error: 0.0858, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1951, root_relative_squared_error: 0.4104, scimark_benchmark: 940.7816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, build_cpu_time: 0.0222, build_memory: 289171311.9886, f_measure: 0.9585, kappa: 0.9083, kb_relative_information_score: 595.6603, mean_absolute_error: 0.0724, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9586, predictive_accuracy: 0.9585, prior_entropy: 0.9297, recall: 0.9585, relative_absolute_error: 0.1603, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1781, root_relative_squared_error: 0.3747, scimark_benchmark: 920.6941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, build_cpu_time: 0.0164, build_memory: 467835365.3448, f_measure: 0.9585, kappa: 0.9083, kb_relative_information_score: 595.6603, mean_absolute_error: 0.0724, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9586, predictive_accuracy: 0.9585, prior_entropy: 0.9297, recall: 0.9585, relative_absolute_error: 0.1603, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1781, root_relative_squared_error: 0.3747, scimark_benchmark: 930.1524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, build_cpu_time: 0.0153, build_memory: 185032138.6323, f_measure: 0.9513, kappa: 0.8919, kb_relative_information_score: 605.6027, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9512, predictive_accuracy: 0.9514, prior_entropy: 0.9297, recall: 0.9514, relative_absolute_error: 0.1351, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1985, root_relative_squared_error: 0.4177, scimark_benchmark: 930.1524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, build_cpu_time: 0.0169, build_memory: 310949857.0186, f_measure: 0.9513, kappa: 0.8919, kb_relative_information_score: 605.6027, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9512, predictive_accuracy: 0.9514, prior_entropy: 0.9297, recall: 0.9514, relative_absolute_error: 0.1351, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1985, root_relative_squared_error: 0.4177, scimark_benchmark: 945.4151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9589, build_cpu_time: 0.0055, build_memory: 642180133.2647, f_measure: 0.9458, kappa: 0.8806, kb_relative_information_score: 593.6566, mean_absolute_error: 0.0699, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9463, predictive_accuracy: 0.9456, prior_entropy: 0.9297, recall: 0.9456, relative_absolute_error: 0.1546, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2204, root_relative_squared_error: 0.4638, scimark_benchmark: 945.6567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9589, build_cpu_time: 0.0056, build_memory: 47756260.784, f_measure: 0.9458, kappa: 0.8806, kb_relative_information_score: 593.6566, mean_absolute_error: 0.0699, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9463, predictive_accuracy: 0.9456, prior_entropy: 0.9297, recall: 0.9456, relative_absolute_error: 0.1546, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2204, root_relative_squared_error: 0.4638, scimark_benchmark: 922.5645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8565, build_cpu_time: 0.0002, build_memory: 134307469.1159, f_measure: 0.86, kappa: 0.6946, kb_relative_information_score: 470.252, mean_absolute_error: 0.1416, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.8642, predictive_accuracy: 0.8584, prior_entropy: 0.9297, recall: 0.8584, relative_absolute_error: 0.3134, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.3763, root_relative_squared_error: 0.7918, scimark_benchmark: 941.5087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8565, build_cpu_time: 0.0006, build_memory: 70041035.2275, f_measure: 0.86, kappa: 0.6946, kb_relative_information_score: 470.252, mean_absolute_error: 0.1416, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.8642, predictive_accuracy: 0.8584, prior_entropy: 0.9297, recall: 0.8584, relative_absolute_error: 0.3134, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.3763, root_relative_squared_error: 0.7918, scimark_benchmark: 946.523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, build_cpu_time: 33552.9844, build_memory: 705091463.9199, f_measure: 0.9601, kappa: 0.912, kb_relative_information_score: 630.2098, mean_absolute_error: 0.0447, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9605, predictive_accuracy: 0.9599, prior_entropy: 0.9297, recall: 0.9599, relative_absolute_error: 0.0989, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1709, root_relative_squared_error: 0.3596, scimark_benchmark: 927.8402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, build_cpu_time: 0.3361, build_memory: 654245562.8727, f_measure: 0.9643, kappa: 0.9209, kb_relative_information_score: 638.6715, mean_absolute_error: 0.0376, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9643, predictive_accuracy: 0.9642, prior_entropy: 0.9297, recall: 0.9642, relative_absolute_error: 0.0833, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1753, root_relative_squared_error: 0.3689, scimark_benchmark: 934.8065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, build_cpu_time: 0.069, build_memory: 407974993.5908, f_measure: 0.9657, kappa: 0.9242, kb_relative_information_score: 642.2935, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9657, predictive_accuracy: 0.9657, prior_entropy: 0.9297, recall: 0.9657, relative_absolute_error: 0.0776, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1763, root_relative_squared_error: 0.371, scimark_benchmark: 946.5567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, build_cpu_time: 0.1431, build_memory: 842300463.6109, f_measure: 0.9657, kappa: 0.9242, kb_relative_information_score: 642.4217, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9657, predictive_accuracy: 0.9657, prior_entropy: 0.9297, recall: 0.9657, relative_absolute_error: 0.0777, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1735, root_relative_squared_error: 0.3651, scimark_benchmark: 919.3675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, build_cpu_time: 0.1619, build_memory: 919430941.7339, f_measure: 0.9657, kappa: 0.9242, kb_relative_information_score: 642.4217, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9657, predictive_accuracy: 0.9657, prior_entropy: 0.9297, recall: 0.9657, relative_absolute_error: 0.0777, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1735, root_relative_squared_error: 0.3651, scimark_benchmark: 933.5169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, build_cpu_time: 0.2939, build_memory: 968526854.8441, f_measure: 0.9671, kappa: 0.9274, kb_relative_information_score: 643.7532, mean_absolute_error: 0.0343, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9672, predictive_accuracy: 0.9671, prior_entropy: 0.9297, recall: 0.9671, relative_absolute_error: 0.0758, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1722, root_relative_squared_error: 0.3624, scimark_benchmark: 935.2304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, build_cpu_time: 0.6409, build_memory: 1468044854.3863, f_measure: 0.9671, kappa: 0.9274, kb_relative_information_score: 644.0719, mean_absolute_error: 0.034, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9672, predictive_accuracy: 0.9671, prior_entropy: 0.9297, recall: 0.9671, relative_absolute_error: 0.0753, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1718, root_relative_squared_error: 0.3614, scimark_benchmark: 945.7067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, build_cpu_time: 1.1069, build_memory: 2992553205.2532, f_measure: 0.9657, kappa: 0.9243, kb_relative_information_score: 643.8229, mean_absolute_error: 0.0342, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9659, predictive_accuracy: 0.9657, prior_entropy: 0.9297, recall: 0.9657, relative_absolute_error: 0.0758, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1722, root_relative_squared_error: 0.3622, scimark_benchmark: 949.2096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, build_cpu_time: 0.2507, build_memory: 504241081.0758, f_measure: 0.96, kappa: 0.9117, kb_relative_information_score: 596.8176, mean_absolute_error: 0.0727, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9602, predictive_accuracy: 0.9599, prior_entropy: 0.9297, recall: 0.9599, relative_absolute_error: 0.1608, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1731, root_relative_squared_error: 0.3642, scimark_benchmark: 944.9156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, build_cpu_time: 0.197, build_memory: 49933760.6981, f_measure: 0.96, kappa: 0.9115, kb_relative_information_score: 596.5467, mean_absolute_error: 0.0728, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.96, predictive_accuracy: 0.9599, prior_entropy: 0.9297, recall: 0.9599, relative_absolute_error: 0.161, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1731, root_relative_squared_error: 0.3642, scimark_benchmark: 902.5808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, build_cpu_time: 0.168, build_memory: 1646722993.03, f_measure: 0.96, kappa: 0.9115, kb_relative_information_score: 596.5467, mean_absolute_error: 0.0728, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.96, predictive_accuracy: 0.9599, prior_entropy: 0.9297, recall: 0.9599, relative_absolute_error: 0.161, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1731, root_relative_squared_error: 0.3642, scimark_benchmark: 943.4766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, build_cpu_time: 0.0909, build_memory: 2535951617.3391, f_measure: 0.9614, kappa: 0.9146, kb_relative_information_score: 594.3517, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9614, predictive_accuracy: 0.9614, prior_entropy: 0.9297, recall: 0.9614, relative_absolute_error: 0.1644, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1762, root_relative_squared_error: 0.3707, scimark_benchmark: 949.2096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, build_cpu_time: 0.0448, build_memory: 968742810.598, f_measure: 0.9599, kappa: 0.9113, kb_relative_information_score: 592.5191, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9599, predictive_accuracy: 0.9599, prior_entropy: 0.9297, recall: 0.9599, relative_absolute_error: 0.1662, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1776, root_relative_squared_error: 0.3737, scimark_benchmark: 947.4258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, build_cpu_time: 0.0371, build_memory: 748505830.9013, f_measure: 0.9628, kappa: 0.9178, kb_relative_information_score: 609.6979, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9629, predictive_accuracy: 0.9628, prior_entropy: 0.9297, recall: 0.9628, relative_absolute_error: 0.1361, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.17, root_relative_squared_error: 0.3576, scimark_benchmark: 947.4258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, build_cpu_time: 0.1043, build_memory: 2888239273.7396, f_measure: 0.9671, kappa: 0.9274, kb_relative_information_score: 611.5969, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9672, predictive_accuracy: 0.9671, prior_entropy: 0.9297, recall: 0.9671, relative_absolute_error: 0.1351, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1669, root_relative_squared_error: 0.3511, scimark_benchmark: 917.2088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, build_cpu_time: 0.2264, build_memory: 284132879.5079, f_measure: 0.9671, kappa: 0.9274, kb_relative_information_score: 612.1903, mean_absolute_error: 0.0607, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9672, predictive_accuracy: 0.9671, prior_entropy: 0.9297, recall: 0.9671, relative_absolute_error: 0.1344, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.166, root_relative_squared_error: 0.3493, scimark_benchmark: 917.0936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, build_cpu_time: 12.312, build_memory: 529803781.0243, f_measure: 0.97, kappa: 0.9338, kb_relative_information_score: 610.4185, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9702, predictive_accuracy: 0.97, prior_entropy: 0.9297, recall: 0.97, relative_absolute_error: 0.1382, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1648, root_relative_squared_error: 0.3467, scimark_benchmark: 937.7202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, build_cpu_time: 11.8497, build_memory: 972140932.8641, f_measure: 0.97, kappa: 0.9338, kb_relative_information_score: 610.4185, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9702, predictive_accuracy: 0.97, prior_entropy: 0.9297, recall: 0.97, relative_absolute_error: 0.1382, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1648, root_relative_squared_error: 0.3467, scimark_benchmark: 898.2186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, build_cpu_time: 6.0865, build_memory: 742866909.2074, f_measure: 0.97, kappa: 0.9338, kb_relative_information_score: 610.4967, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9702, predictive_accuracy: 0.97, prior_entropy: 0.9297, recall: 0.97, relative_absolute_error: 0.1381, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1647, root_relative_squared_error: 0.3465, scimark_benchmark: 934.8947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, build_cpu_time: 3.7013, build_memory: 528329329.4077, f_measure: 0.9701, kappa: 0.934, kb_relative_information_score: 610.549, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9704, predictive_accuracy: 0.97, prior_entropy: 0.9297, recall: 0.97, relative_absolute_error: 0.138, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1645, root_relative_squared_error: 0.3461, scimark_benchmark: 940.7056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, build_cpu_time: 2.9997, build_memory: 675189914.5751, f_measure: 0.9701, kappa: 0.934, kb_relative_information_score: 610.549, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9704, predictive_accuracy: 0.97, prior_entropy: 0.9297, recall: 0.97, relative_absolute_error: 0.138, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1645, root_relative_squared_error: 0.3461, scimark_benchmark: 941.0306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, build_cpu_time: 1.5496, build_memory: 2134525290.0372, f_measure: 0.97, kappa: 0.9338, kb_relative_information_score: 610.5924, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9702, predictive_accuracy: 0.97, prior_entropy: 0.9297, recall: 0.97, relative_absolute_error: 0.138, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1642, root_relative_squared_error: 0.3454, scimark_benchmark: 939.4327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, build_cpu_time: 0.8392, build_memory: 1177876175.5765, f_measure: 0.9715, kappa: 0.9372, kb_relative_information_score: 610.5121, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9719, predictive_accuracy: 0.9714, prior_entropy: 0.9297, recall: 0.9714, relative_absolute_error: 0.1382, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1649, root_relative_squared_error: 0.3469, scimark_benchmark: 926.9727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, build_cpu_time: 0.0078, build_memory: 1743654035.1931, f_measure: 0.9231, kappa: 0.828, kb_relative_information_score: 572.7684, mean_absolute_error: 0.0795, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9247, predictive_accuracy: 0.9242, prior_entropy: 0.9297, recall: 0.9242, relative_absolute_error: 0.176, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2434, root_relative_squared_error: 0.512, scimark_benchmark: 942.3187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, build_cpu_time: 1.2409, build_memory: 1292909167.1187, f_measure: 0.9758, kappa: 0.9467, kb_relative_information_score: 622.5116, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9764, predictive_accuracy: 0.9757, prior_entropy: 0.9297, recall: 0.9757, relative_absolute_error: 0.1207, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1548, root_relative_squared_error: 0.3258, scimark_benchmark: 910.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, build_cpu_time: 1.2572, build_memory: 1255457651.628, f_measure: 0.9758, kappa: 0.9467, kb_relative_information_score: 622.5116, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9764, predictive_accuracy: 0.9757, prior_entropy: 0.9297, recall: 0.9757, relative_absolute_error: 0.1207, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1548, root_relative_squared_error: 0.3258, scimark_benchmark: 942.4281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, build_cpu_time: 0.0242, build_memory: 635742738.9871, f_measure: 0.9217, kappa: 0.8249, kb_relative_information_score: 570.4954, mean_absolute_error: 0.0828, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9232, predictive_accuracy: 0.9227, prior_entropy: 0.9297, recall: 0.9227, relative_absolute_error: 0.1831, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2284, root_relative_squared_error: 0.4806, scimark_benchmark: 942.4281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, build_cpu_time: 0.5908, build_memory: 877866825.7969, f_measure: 0.9744, kappa: 0.9437, kb_relative_information_score: 623.2976, mean_absolute_error: 0.054, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9752, predictive_accuracy: 0.9742, prior_entropy: 0.9297, recall: 0.9742, relative_absolute_error: 0.1196, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1538, root_relative_squared_error: 0.3236, scimark_benchmark: 937.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, build_cpu_time: 0.0391, build_memory: 498362295.0501, f_measure: 0.9293, kappa: 0.8422, kb_relative_information_score: 572.7678, mean_absolute_error: 0.0817, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9299, predictive_accuracy: 0.9299, prior_entropy: 0.9297, recall: 0.9299, relative_absolute_error: 0.1807, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2272, root_relative_squared_error: 0.4781, scimark_benchmark: 785.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, build_cpu_time: 0.2987, build_memory: 852458426.8155, f_measure: 0.9715, kappa: 0.9374, kb_relative_information_score: 622.3267, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9723, predictive_accuracy: 0.9714, prior_entropy: 0.9297, recall: 0.9714, relative_absolute_error: 0.1208, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1572, root_relative_squared_error: 0.3308, scimark_benchmark: 942.4281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, build_cpu_time: 0.0606, build_memory: 356392728.7554, f_measure: 0.9381, kappa: 0.8621, kb_relative_information_score: 573.5191, mean_absolute_error: 0.0817, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9384, predictive_accuracy: 0.9385, prior_entropy: 0.9297, recall: 0.9385, relative_absolute_error: 0.1807, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2241, root_relative_squared_error: 0.4714, scimark_benchmark: 938.3567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, build_cpu_time: 0.0746, build_memory: 933079199.7139, f_measure: 0.9381, kappa: 0.8621, kb_relative_information_score: 573.5191, mean_absolute_error: 0.0817, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9384, predictive_accuracy: 0.9385, prior_entropy: 0.9297, recall: 0.9385, relative_absolute_error: 0.1807, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2241, root_relative_squared_error: 0.4714, scimark_benchmark: 785.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, build_cpu_time: 0.0547, build_memory: 434668639.6223, f_measure: 0.9381, kappa: 0.8621, kb_relative_information_score: 573.5191, mean_absolute_error: 0.0817, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9384, predictive_accuracy: 0.9385, prior_entropy: 0.9297, recall: 0.9385, relative_absolute_error: 0.1807, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2241, root_relative_squared_error: 0.4714, scimark_benchmark: 910.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, build_cpu_time: 0.0533, build_memory: 639602384.8698, f_measure: 0.9381, kappa: 0.8621, kb_relative_information_score: 573.5191, mean_absolute_error: 0.0817, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9384, predictive_accuracy: 0.9385, prior_entropy: 0.9297, recall: 0.9385, relative_absolute_error: 0.1807, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2241, root_relative_squared_error: 0.4714, scimark_benchmark: 943.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, build_cpu_time: 0.2176, build_memory: 651613100.2804, f_measure: 0.9687, kappa: 0.9312, kb_relative_information_score: 620.8543, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9695, predictive_accuracy: 0.9685, prior_entropy: 0.9297, recall: 0.9685, relative_absolute_error: 0.1218, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1589, root_relative_squared_error: 0.3343, scimark_benchmark: 940.6012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, build_cpu_time: 0.0778, build_memory: 172436309.7797, f_measure: 0.9729, kappa: 0.9404, kb_relative_information_score: 620.4031, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9734, predictive_accuracy: 0.9728, prior_entropy: 0.9297, recall: 0.9728, relative_absolute_error: 0.1238, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.16, root_relative_squared_error: 0.3367, scimark_benchmark: 942.4281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, build_cpu_time: 0.178, build_memory: 788782312.8011, f_measure: 0.9616, kappa: 0.9158, kb_relative_information_score: 635.6757, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9628, predictive_accuracy: 0.9614, prior_entropy: 0.9297, recall: 0.9614, relative_absolute_error: 0.0867, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1913, root_relative_squared_error: 0.4024, scimark_benchmark: 905.0866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, build_cpu_time: 0.0984, build_memory: 37034039.5765, f_measure: 0.9598, kappa: 0.9108, kb_relative_information_score: 628.5853, mean_absolute_error: 0.0459, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9599, predictive_accuracy: 0.9599, prior_entropy: 0.9297, recall: 0.9599, relative_absolute_error: 0.1016, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.172, root_relative_squared_error: 0.3618, scimark_benchmark: 932.9003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, build_cpu_time: 0.0148, build_memory: 165661998.2375, f_measure: 0.9616, kappa: 0.9158, kb_relative_information_score: 634.652, mean_absolute_error: 0.0402, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9628, predictive_accuracy: 0.9614, prior_entropy: 0.9297, recall: 0.9614, relative_absolute_error: 0.089, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1946, root_relative_squared_error: 0.4094, scimark_benchmark: 929.8459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, build_cpu_time: 0.0154, build_memory: 203957847.279, f_measure: 0.9616, kappa: 0.9158, kb_relative_information_score: 634.652, mean_absolute_error: 0.0402, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9628, predictive_accuracy: 0.9614, prior_entropy: 0.9297, recall: 0.9614, relative_absolute_error: 0.089, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1946, root_relative_squared_error: 0.4094, scimark_benchmark: 942.5344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, build_cpu_time: 72.3417, build_memory: 2571435469.4135, f_measure: 0.9644, kappa: 0.9214, kb_relative_information_score: 618.7726, mean_absolute_error: 0.0535, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9647, predictive_accuracy: 0.9642, prior_entropy: 0.9297, recall: 0.9642, relative_absolute_error: 0.1184, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1751, root_relative_squared_error: 0.3685, scimark_benchmark: 941.5509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9686, kappa: 0.9307, kb_relative_information_score: 0.8877, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9689, predictive_accuracy: 0.9685, prior_entropy: 0.9293, recall: 0.9685, relative_absolute_error: 0.1208, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1603, root_relative_squared_error: 0.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, build_cpu_time: 151.3164, build_memory: 715609665.9914, f_measure: 0.9644, kappa: 0.9214, kb_relative_information_score: 619.4625, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9647, predictive_accuracy: 0.9642, prior_entropy: 0.9297, recall: 0.9642, relative_absolute_error: 0.1176, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1737, root_relative_squared_error: 0.3655, scimark_benchmark: 915.7224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, build_cpu_time: 0.0442, build_memory: 607807619.1931, f_measure: 0.9545, kappa: 0.8999, kb_relative_information_score: 546.8982, mean_absolute_error: 0.1113, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9553, predictive_accuracy: 0.9542, prior_entropy: 0.9297, recall: 0.9542, relative_absolute_error: 0.2462, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1964, root_relative_squared_error: 0.4133, scimark_benchmark: 1225.9989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, build_cpu_time: 0.0216, build_memory: 178007791.7253, f_measure: 0.9587, kappa: 0.9092, kb_relative_information_score: 545.6053, mean_absolute_error: 0.1122, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9594, predictive_accuracy: 0.9585, prior_entropy: 0.9297, recall: 0.9585, relative_absolute_error: 0.2483, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1967, root_relative_squared_error: 0.4139, scimark_benchmark: 895.1097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, build_cpu_time: 0.0241, build_memory: 88852163.6624, f_measure: 0.9601, kappa: 0.912, kb_relative_information_score: 545.7126, mean_absolute_error: 0.1127, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9605, predictive_accuracy: 0.9599, prior_entropy: 0.9297, recall: 0.9599, relative_absolute_error: 0.2493, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1959, root_relative_squared_error: 0.4121, scimark_benchmark: 864.1117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, build_cpu_time: 0.6823, build_memory: 1465495973.3562, f_measure: 0.9686, kappa: 0.9306, kb_relative_information_score: 644.1346, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9687, predictive_accuracy: 0.9685, prior_entropy: 0.9297, recall: 0.9685, relative_absolute_error: 0.0771, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1763, root_relative_squared_error: 0.3708, scimark_benchmark: 942.7079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, build_cpu_time: 0.0033, build_memory: 1312909777.5908, f_measure: 0.9545, kappa: 0.8999, kb_relative_information_score: 545.5592, mean_absolute_error: 0.1124, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9553, predictive_accuracy: 0.9542, prior_entropy: 0.9297, recall: 0.9542, relative_absolute_error: 0.2488, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1977, root_relative_squared_error: 0.416, scimark_benchmark: 821.7292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, build_cpu_time: 0.0029, build_memory: 3344833802.5408, f_measure: 0.953, kappa: 0.8964, kb_relative_information_score: 549.1478, mean_absolute_error: 0.1093, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9535, predictive_accuracy: 0.9528, prior_entropy: 0.9297, recall: 0.9528, relative_absolute_error: 0.2419, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1979, root_relative_squared_error: 0.4164, scimark_benchmark: 944.9147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, build_cpu_time: 2.0958, build_memory: 1352485367.0615, f_measure: 0.96, kappa: 0.9115, kb_relative_information_score: 615.9436, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.96, predictive_accuracy: 0.9599, prior_entropy: 0.9297, recall: 0.9599, relative_absolute_error: 0.1233, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1715, root_relative_squared_error: 0.3608, scimark_benchmark: 942.3742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, build_cpu_time: 5.9489, build_memory: 724751120.9957, f_measure: 0.96, kappa: 0.9117, kb_relative_information_score: 615.4065, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9602, predictive_accuracy: 0.9599, prior_entropy: 0.9297, recall: 0.9599, relative_absolute_error: 0.1241, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1691, root_relative_squared_error: 0.3559, scimark_benchmark: 824.2652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, build_cpu_time: 9.169, build_memory: 91512437.4478, f_measure: 0.9614, kappa: 0.9146, kb_relative_information_score: 617.466, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9614, predictive_accuracy: 0.9614, prior_entropy: 0.9297, recall: 0.9614, relative_absolute_error: 0.1225, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1659, root_relative_squared_error: 0.3491, scimark_benchmark: 938.4414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9686, kappa: 0.9307, kb_relative_information_score: 0.8877, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9689, predictive_accuracy: 0.9685, prior_entropy: 0.9293, recall: 0.9685, relative_absolute_error: 0.1208, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1603, root_relative_squared_error: 0.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9686, kappa: 0.9307, kb_relative_information_score: 0.8877, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9689, predictive_accuracy: 0.9685, prior_entropy: 0.9293, recall: 0.9685, relative_absolute_error: 0.1208, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1603, root_relative_squared_error: 0.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, build_cpu_time: 17.5123, build_memory: 838794932.99, f_measure: 0.96, kappa: 0.9115, kb_relative_information_score: 618.6498, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.96, predictive_accuracy: 0.9599, prior_entropy: 0.9297, recall: 0.9599, relative_absolute_error: 0.121, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1637, root_relative_squared_error: 0.3443, scimark_benchmark: 935.2997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, build_cpu_time: 0.0006, build_memory: 475403160.1373, f_measure: 0.9616, kappa: 0.9158, kb_relative_information_score: 636.2096, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9628, predictive_accuracy: 0.9614, prior_entropy: 0.9297, recall: 0.9614, relative_absolute_error: 0.0858, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1951, root_relative_squared_error: 0.4104, scimark_benchmark: 1469.6837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, build_cpu_time: 33.2735, build_memory: 2243620398.5579, f_measure: 0.9628, kappa: 0.9178, kb_relative_information_score: 619.6358, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9629, predictive_accuracy: 0.9628, prior_entropy: 0.9297, recall: 0.9628, relative_absolute_error: 0.12, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1632, root_relative_squared_error: 0.3433, scimark_benchmark: 939.7104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, build_cpu_time: 32.6456, build_memory: 134764096.0916, f_measure: 0.9628, kappa: 0.9178, kb_relative_information_score: 619.6358, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9629, predictive_accuracy: 0.9628, prior_entropy: 0.9297, recall: 0.9628, relative_absolute_error: 0.12, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1632, root_relative_squared_error: 0.3433, scimark_benchmark: 931.9798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, build_cpu_time: 3.0484, build_memory: 2294937567.5079, f_measure: 0.9643, kappa: 0.9212, kb_relative_information_score: 641.0736, mean_absolute_error: 0.0357, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9645, predictive_accuracy: 0.9642, prior_entropy: 0.9297, recall: 0.9642, relative_absolute_error: 0.079, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1888, root_relative_squared_error: 0.3972, scimark_benchmark: 946.2416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, build_cpu_time: 1.58, build_memory: 802885616.5379, f_measure: 0.9643, kappa: 0.9212, kb_relative_information_score: 640.6293, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9645, predictive_accuracy: 0.9642, prior_entropy: 0.9297, recall: 0.9642, relative_absolute_error: 0.0798, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1893, root_relative_squared_error: 0.3982, scimark_benchmark: 945.8914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, build_cpu_time: 0.8996, build_memory: 78390658.9185, f_measure: 0.9643, kappa: 0.9212, kb_relative_information_score: 640.6087, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9645, predictive_accuracy: 0.9642, prior_entropy: 0.9297, recall: 0.9642, relative_absolute_error: 0.0798, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1893, root_relative_squared_error: 0.3983, scimark_benchmark: 947.8147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, build_cpu_time: 0.8937, build_memory: 1441675368.618, f_measure: 0.9643, kappa: 0.9212, kb_relative_information_score: 640.6087, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9645, predictive_accuracy: 0.9642, prior_entropy: 0.9297, recall: 0.9642, relative_absolute_error: 0.0798, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1893, root_relative_squared_error: 0.3983, scimark_benchmark: 942.9632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, build_cpu_time: 0.8233, build_memory: 43346258.804, f_measure: 0.9643, kappa: 0.9212, kb_relative_information_score: 640.6087, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9645, predictive_accuracy: 0.9642, prior_entropy: 0.9297, recall: 0.9642, relative_absolute_error: 0.0798, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1893, root_relative_squared_error: 0.3983, scimark_benchmark: 935.2997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, build_cpu_time: 0.8174, build_memory: 40448461.2074, f_measure: 0.9643, kappa: 0.9212, kb_relative_information_score: 640.6087, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9645, predictive_accuracy: 0.9642, prior_entropy: 0.9297, recall: 0.9642, relative_absolute_error: 0.0798, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1893, root_relative_squared_error: 0.3983, scimark_benchmark: 939.6491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, build_cpu_time: 0.5388, build_memory: 62449115.0443, f_measure: 0.9628, kappa: 0.9178, kb_relative_information_score: 638.1637, mean_absolute_error: 0.0376, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9629, predictive_accuracy: 0.9628, prior_entropy: 0.9297, recall: 0.9628, relative_absolute_error: 0.0832, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1901, root_relative_squared_error: 0.4, scimark_benchmark: 942.9632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, build_cpu_time: 1.1046, build_memory: 1104856763.3763, f_measure: 0.9686, kappa: 0.9309, kb_relative_information_score: 614.5345, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.969, predictive_accuracy: 0.9685, prior_entropy: 0.9297, recall: 0.9685, relative_absolute_error: 0.1303, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1657, root_relative_squared_error: 0.3487, scimark_benchmark: 936.4194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, build_cpu_time: 2.3497, build_memory: 3321981462.6266, f_measure: 0.9701, kappa: 0.934, kb_relative_information_score: 615.9719, mean_absolute_error: 0.058, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9704, predictive_accuracy: 0.97, prior_entropy: 0.9297, recall: 0.97, relative_absolute_error: 0.1283, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.3439, scimark_benchmark: 937.0592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, build_cpu_time: 0.48, build_memory: 1185482006.5007, f_measure: 0.9671, kappa: 0.9274, kb_relative_information_score: 607.3839, mean_absolute_error: 0.0639, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9672, predictive_accuracy: 0.9671, prior_entropy: 0.9297, recall: 0.9671, relative_absolute_error: 0.1414, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.171, root_relative_squared_error: 0.3597, scimark_benchmark: 934.3351,

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