DEVELOPMENT...

A PHP Error was encountered

Severity: Warning

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

Filename: models/Log.php

Line Number: 37

Backtrace:

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

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

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

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

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

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

A PHP Error was encountered

Severity: Warning

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

Filename: models/Log.php

Line Number: 37

Backtrace:

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

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

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

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

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

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

A PHP Error was encountered

Severity: Warning

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

Filename: models/Log.php

Line Number: 37

Backtrace:

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

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

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

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

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

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

OpenML
Task
Supervised Classification on fri_c4_100_10

Supervised Classification on fri_c4_100_10

Task 3742 Supervised Classification fri_c4_100_10 769 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
Issue #Downvotes for this reason By


Metric:

769 Runs

Fetching data
Fetching data
Search runs in more detail run
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6905, f_measure: 0.6403, kappa: 0.2809, kb_relative_information_score: 23.9775, mean_absolute_error: 0.3809, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6426, predictive_accuracy: 0.64, prior_entropy: 0.9975, recall: 0.64, relative_absolute_error: 0.7645, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0022, scimark_benchmark: 942.9518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6495, f_measure: 0.6321, kappa: 0.2927, kb_relative_information_score: 27.6292, mean_absolute_error: 0.36, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6685, predictive_accuracy: 0.64, prior_entropy: 0.9975, recall: 0.64, relative_absolute_error: 0.7226, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6, root_relative_squared_error: 1.2022, scimark_benchmark: 1442.7264, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5426, f_measure: 0.4508, kappa: 0.0898, kb_relative_information_score: 13.5591, mean_absolute_error: 0.43, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7626, predictive_accuracy: 0.57, prior_entropy: 0.9975, recall: 0.57, relative_absolute_error: 0.863, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6557, root_relative_squared_error: 1.3139, scimark_benchmark: 916.6405, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6636, f_measure: 0.6595, kappa: 0.3241, kb_relative_information_score: 31.6493, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6674, predictive_accuracy: 0.66, prior_entropy: 0.9975, recall: 0.66, relative_absolute_error: 0.6824, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5831, root_relative_squared_error: 1.1683, scimark_benchmark: 938.343, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6716, f_measure: 0.6902, kappa: 0.3785, kb_relative_information_score: 15.4862, mean_absolute_error: 0.4296, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6904, predictive_accuracy: 0.69, prior_entropy: 0.9975, recall: 0.69, relative_absolute_error: 0.8623, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4843, root_relative_squared_error: 0.9704, scimark_benchmark: 938.343, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.68, f_measure: 0.6803, kappa: 0.3592, kb_relative_information_score: 35.6693, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6811, predictive_accuracy: 0.68, prior_entropy: 0.9975, recall: 0.68, relative_absolute_error: 0.6423, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5657, root_relative_squared_error: 1.1334, scimark_benchmark: 942.9708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7081, f_measure: 0.6498, kappa: 0.3033, kb_relative_information_score: 19.9996, mean_absolute_error: 0.4071, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6559, predictive_accuracy: 0.65, prior_entropy: 0.9975, recall: 0.65, relative_absolute_error: 0.8172, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4717, root_relative_squared_error: 0.9451, scimark_benchmark: 887.6719, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7019, f_measure: 0.6978, kappa: 0.3934, kb_relative_information_score: 29.1894, mean_absolute_error: 0.3643, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7007, predictive_accuracy: 0.7, prior_entropy: 0.9975, recall: 0.7, relative_absolute_error: 0.7311, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4783, root_relative_squared_error: 0.9584, scimark_benchmark: 1028.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7993, f_measure: 0.74, kappa: 0.4781, kb_relative_information_score: 42.0119, mean_absolute_error: 0.2984, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.74, predictive_accuracy: 0.74, prior_entropy: 0.9975, recall: 0.74, relative_absolute_error: 0.599, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4338, root_relative_squared_error: 0.8692, scimark_benchmark: 1250.8301, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9139, f_measure: 0.8397, kappa: 0.6781, kb_relative_information_score: 45.9559, mean_absolute_error: 0.2889, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8402, predictive_accuracy: 0.84, prior_entropy: 0.9975, recall: 0.84, relative_absolute_error: 0.5798, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3512, root_relative_squared_error: 0.7037, scimark_benchmark: 1327.8711, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7627, f_measure: 0.76, kappa: 0.5217, kb_relative_information_score: 51.7495, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7655, predictive_accuracy: 0.76, prior_entropy: 0.9975, recall: 0.76, relative_absolute_error: 0.4817, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4899, root_relative_squared_error: 0.9816, scimark_benchmark: 1318.5526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.778, f_measure: 0.76, kappa: 0.5183, kb_relative_information_score: 41.0391, mean_absolute_error: 0.3069, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.76, predictive_accuracy: 0.76, prior_entropy: 0.9975, recall: 0.76, relative_absolute_error: 0.616, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4304, root_relative_squared_error: 0.8624, scimark_benchmark: 1316.0472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6933, f_measure: 0.7301, kappa: 0.4587, kb_relative_information_score: 33.9526, mean_absolute_error: 0.3435, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7304, predictive_accuracy: 0.73, prior_entropy: 0.9975, recall: 0.73, relative_absolute_error: 0.6895, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4741, root_relative_squared_error: 0.9499, scimark_benchmark: 1310.8451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5853, f_measure: 0.5733, kappa: 0.1753, kb_relative_information_score: 19.5892, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6117, predictive_accuracy: 0.6, prior_entropy: 0.9975, recall: 0.6, relative_absolute_error: 0.8028, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2672, scimark_benchmark: 1291.6995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5411, f_measure: 0.455, kappa: 0.0787, kb_relative_information_score: 3.509, mean_absolute_error: 0.48, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.5856, predictive_accuracy: 0.52, prior_entropy: 0.9975, recall: 0.52, relative_absolute_error: 0.9634, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6928, root_relative_squared_error: 1.3881, scimark_benchmark: 1280.6952, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7782, f_measure: 0.7498, kappa: 0.4976, kb_relative_information_score: 46.2219, mean_absolute_error: 0.273, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7498, predictive_accuracy: 0.75, prior_entropy: 0.9975, recall: 0.75, relative_absolute_error: 0.5479, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4733, root_relative_squared_error: 0.9483, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6752, f_measure: 0.6777, kappa: 0.353, kb_relative_information_score: 35.6693, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6803, predictive_accuracy: 0.68, prior_entropy: 0.9975, recall: 0.68, relative_absolute_error: 0.6423, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5657, root_relative_squared_error: 1.1334, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7509, f_measure: 0.7502, kappa: 0.5, kb_relative_information_score: 49.7395, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7518, predictive_accuracy: 0.75, prior_entropy: 0.9975, recall: 0.75, relative_absolute_error: 0.5018, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0018, scimark_benchmark: 1353.5686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4578, f_measure: 0.3672, kb_relative_information_score: -0.1403, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.2809, predictive_accuracy: 0.53, prior_entropy: 0.9975, recall: 0.53, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.001, scimark_benchmark: 1418.5826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7507, f_measure: 0.7402, kappa: 0.4794, kb_relative_information_score: 45.0151, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.741, predictive_accuracy: 0.74, prior_entropy: 0.9975, recall: 0.74, relative_absolute_error: 0.5588, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4757, root_relative_squared_error: 0.953, scimark_benchmark: 1384.4418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7204, f_measure: 0.6698, kappa: 0.3368, kb_relative_information_score: 31.8721, mean_absolute_error: 0.3415, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6697, predictive_accuracy: 0.67, prior_entropy: 0.9975, recall: 0.67, relative_absolute_error: 0.6854, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5278, root_relative_squared_error: 1.0575, scimark_benchmark: 931.2336, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6847, f_measure: 0.649, kappa: 0.2949, kb_relative_information_score: 25.0918, mean_absolute_error: 0.3763, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6493, predictive_accuracy: 0.65, prior_entropy: 0.9975, recall: 0.65, relative_absolute_error: 0.7553, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5401, root_relative_squared_error: 1.0821, scimark_benchmark: 945.6434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6809, f_measure: 0.6698, kappa: 0.3368, kb_relative_information_score: 22.5774, mean_absolute_error: 0.3945, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6697, predictive_accuracy: 0.67, prior_entropy: 0.9975, recall: 0.67, relative_absolute_error: 0.7918, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5011, root_relative_squared_error: 1.004, scimark_benchmark: 941.7954, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6809, f_measure: 0.6698, kappa: 0.3368, kb_relative_information_score: 22.5774, mean_absolute_error: 0.3945, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6697, predictive_accuracy: 0.67, prior_entropy: 0.9975, recall: 0.67, relative_absolute_error: 0.7918, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5011, root_relative_squared_error: 1.004, scimark_benchmark: 923.7642, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6809, f_measure: 0.6698, kappa: 0.3368, kb_relative_information_score: 22.5774, mean_absolute_error: 0.3945, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6697, predictive_accuracy: 0.67, prior_entropy: 0.9975, recall: 0.67, relative_absolute_error: 0.7918, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5011, root_relative_squared_error: 1.004, scimark_benchmark: 894.7455, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8346, f_measure: 0.759, kappa: 0.5159, kb_relative_information_score: 51.7975, mean_absolute_error: 0.2389, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7605, predictive_accuracy: 0.76, prior_entropy: 0.9975, recall: 0.76, relative_absolute_error: 0.4796, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.476, root_relative_squared_error: 0.9537, scimark_benchmark: 894.7455, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8212, f_measure: 0.7389, kappa: 0.4756, kb_relative_information_score: 48.3189, mean_absolute_error: 0.2567, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7403, predictive_accuracy: 0.74, prior_entropy: 0.9975, recall: 0.74, relative_absolute_error: 0.5152, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.485, root_relative_squared_error: 0.9718, scimark_benchmark: 936.6206, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8232, f_measure: 0.7698, kappa: 0.5378, kb_relative_information_score: 51.0182, mean_absolute_error: 0.2461, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7698, predictive_accuracy: 0.77, prior_entropy: 0.9975, recall: 0.77, relative_absolute_error: 0.494, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4666, root_relative_squared_error: 0.9349, scimark_benchmark: 942.1229, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8083, f_measure: 0.7084, kappa: 0.4144, kb_relative_information_score: 43.1193, mean_absolute_error: 0.2836, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7104, predictive_accuracy: 0.71, prior_entropy: 0.9975, recall: 0.71, relative_absolute_error: 0.5692, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4848, root_relative_squared_error: 0.9714, scimark_benchmark: 934.5243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8009, f_measure: 0.7202, kappa: 0.4393, kb_relative_information_score: 44.706, mean_absolute_error: 0.2759, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.721, predictive_accuracy: 0.72, prior_entropy: 0.9975, recall: 0.72, relative_absolute_error: 0.5538, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4864, root_relative_squared_error: 0.9745, scimark_benchmark: 938.9865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8539, f_measure: 0.7596, kappa: 0.5171, kb_relative_information_score: 52.7877, mean_absolute_error: 0.2351, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7598, predictive_accuracy: 0.76, prior_entropy: 0.9975, recall: 0.76, relative_absolute_error: 0.4719, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4492, root_relative_squared_error: 0.9, scimark_benchmark: 938.4285, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8511, f_measure: 0.7698, kappa: 0.5378, kb_relative_information_score: 51.8313, mean_absolute_error: 0.2413, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7698, predictive_accuracy: 0.77, prior_entropy: 0.9975, recall: 0.77, relative_absolute_error: 0.4842, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4372, root_relative_squared_error: 0.8759, scimark_benchmark: 924.6116, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8487, f_measure: 0.7501, kappa: 0.4988, kb_relative_information_score: 48.9057, mean_absolute_error: 0.2563, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7504, predictive_accuracy: 0.75, prior_entropy: 0.9975, recall: 0.75, relative_absolute_error: 0.5145, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4236, root_relative_squared_error: 0.8487, scimark_benchmark: 924.6116, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8266, f_measure: 0.74, kappa: 0.4781, kb_relative_information_score: 44.3723, mean_absolute_error: 0.2825, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.74, predictive_accuracy: 0.74, prior_entropy: 0.9975, recall: 0.74, relative_absolute_error: 0.567, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.435, root_relative_squared_error: 0.8717, scimark_benchmark: 932.3943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8009, f_measure: 0.6995, kappa: 0.3964, kb_relative_information_score: 38.3844, mean_absolute_error: 0.3131, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6996, predictive_accuracy: 0.7, prior_entropy: 0.9975, recall: 0.7, relative_absolute_error: 0.6285, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4429, root_relative_squared_error: 0.8875, scimark_benchmark: 931.2336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4578, f_measure: 0.3672, kb_relative_information_score: -0.1403, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.2809, predictive_accuracy: 0.53, prior_entropy: 0.9975, recall: 0.53, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.001, scimark_benchmark: 940.2922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7025, f_measure: 0.6691, kappa: 0.3447, kb_relative_information_score: 21.1009, mean_absolute_error: 0.4017, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6792, predictive_accuracy: 0.67, prior_entropy: 0.9975, recall: 0.67, relative_absolute_error: 0.8063, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4795, root_relative_squared_error: 0.9608, scimark_benchmark: 934.5243, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7834, f_measure: 0.7668, kappa: 0.5333, kb_relative_information_score: 43.3106, mean_absolute_error: 0.2902, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7766, predictive_accuracy: 0.77, prior_entropy: 0.9975, recall: 0.77, relative_absolute_error: 0.5824, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4401, root_relative_squared_error: 0.8818, scimark_benchmark: 933.8635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8758, f_measure: 0.7602, kappa: 0.5206, kb_relative_information_score: 48.7243, mean_absolute_error: 0.261, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7628, predictive_accuracy: 0.76, prior_entropy: 0.9975, recall: 0.76, relative_absolute_error: 0.5238, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3905, root_relative_squared_error: 0.7824, scimark_benchmark: 933.8635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4578, f_measure: 0.3672, kb_relative_information_score: -0.1403, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.2809, predictive_accuracy: 0.53, prior_entropy: 0.9975, recall: 0.53, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.001, scimark_benchmark: 929.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8165, f_measure: 0.7694, kappa: 0.5367, kb_relative_information_score: 40.7201, mean_absolute_error: 0.3076, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7701, predictive_accuracy: 0.77, prior_entropy: 0.9975, recall: 0.77, relative_absolute_error: 0.6173, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4174, root_relative_squared_error: 0.8364, scimark_benchmark: 911.0478, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3672, kb_relative_information_score: 5.519, mean_absolute_error: 0.47, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.2809, predictive_accuracy: 0.53, prior_entropy: 0.9975, recall: 0.53, relative_absolute_error: 0.9433, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6856, root_relative_squared_error: 1.3736, scimark_benchmark: 933.8635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7507, f_measure: 0.7402, kappa: 0.4794, kb_relative_information_score: 45.0151, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.741, predictive_accuracy: 0.74, prior_entropy: 0.9975, recall: 0.74, relative_absolute_error: 0.5588, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4757, root_relative_squared_error: 0.953, scimark_benchmark: 904.3001, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8306, f_measure: 0.7902, kappa: 0.58, kb_relative_information_score: 16.2236, mean_absolute_error: 0.4341, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7918, predictive_accuracy: 0.79, prior_entropy: 0.9975, recall: 0.79, relative_absolute_error: 0.8713, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4446, root_relative_squared_error: 0.8909, scimark_benchmark: 933.8635, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.769, f_measure: 0.7402, kappa: 0.4806, kb_relative_information_score: 19.9271, mean_absolute_error: 0.4142, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7428, predictive_accuracy: 0.74, prior_entropy: 0.9975, recall: 0.74, relative_absolute_error: 0.8313, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4452, root_relative_squared_error: 0.892, scimark_benchmark: 901.0726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5426, f_measure: 0.4508, kappa: 0.0898, kb_relative_information_score: 13.5591, mean_absolute_error: 0.43, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7626, predictive_accuracy: 0.57, prior_entropy: 0.9975, recall: 0.57, relative_absolute_error: 0.863, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6557, root_relative_squared_error: 1.3139, scimark_benchmark: 942.1229, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7098, f_measure: 0.6385, kappa: 0.2739, kb_relative_information_score: 26.6255, mean_absolute_error: 0.3675, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6392, predictive_accuracy: 0.64, prior_entropy: 0.9975, recall: 0.64, relative_absolute_error: 0.7376, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5117, root_relative_squared_error: 1.0252, scimark_benchmark: 936.6206, usercpu_time_millis: 120, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7445, f_measure: 0.7396, kappa: 0.4769, kb_relative_information_score: 35.9028, mean_absolute_error: 0.331, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7398, predictive_accuracy: 0.74, prior_entropy: 0.9975, recall: 0.74, relative_absolute_error: 0.6643, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4594, root_relative_squared_error: 0.9204, scimark_benchmark: 942.1229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7969, f_measure: 0.7888, kappa: 0.5759, kb_relative_information_score: 57.2796, mean_absolute_error: 0.2129, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7917, predictive_accuracy: 0.79, prior_entropy: 0.9975, recall: 0.79, relative_absolute_error: 0.4272, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4589, root_relative_squared_error: 0.9194, scimark_benchmark: 935.8834, usercpu_time_millis: 210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.784, f_measure: 0.7791, kappa: 0.5563, kb_relative_information_score: 55.7445, mean_absolute_error: 0.2202, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7808, predictive_accuracy: 0.78, prior_entropy: 0.9975, recall: 0.78, relative_absolute_error: 0.4419, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4686, root_relative_squared_error: 0.9389, scimark_benchmark: 915.2795, usercpu_time_millis: 260, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8741, f_measure: 0.7992, kappa: 0.5966, kb_relative_information_score: 58.0928, mean_absolute_error: 0.2109, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.801, predictive_accuracy: 0.8, prior_entropy: 0.9975, recall: 0.8, relative_absolute_error: 0.4232, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4146, root_relative_squared_error: 0.8308, scimark_benchmark: 883.7187, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6658, f_measure: 0.62, kappa: 0.2427, kb_relative_information_score: 16.5129, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6245, predictive_accuracy: 0.62, prior_entropy: 0.9975, recall: 0.62, relative_absolute_error: 0.8474, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4944, root_relative_squared_error: 0.9906, scimark_benchmark: 947.0793, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7995, f_measure: 0.7502, kappa: 0.5, kb_relative_information_score: 48.8963, mean_absolute_error: 0.2545, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7518, predictive_accuracy: 0.75, prior_entropy: 0.9975, recall: 0.75, relative_absolute_error: 0.5107, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4936, root_relative_squared_error: 0.989, scimark_benchmark: 902.4773, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7236, f_measure: 0.6978, kappa: 0.3934, kb_relative_information_score: 29.0583, mean_absolute_error: 0.3645, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7007, predictive_accuracy: 0.7, prior_entropy: 0.9975, recall: 0.7, relative_absolute_error: 0.7316, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4756, root_relative_squared_error: 0.9529, scimark_benchmark: 935.8986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5426, f_measure: 0.4508, kappa: 0.0898, kb_relative_information_score: 13.5591, mean_absolute_error: 0.43, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7626, predictive_accuracy: 0.57, prior_entropy: 0.9975, recall: 0.57, relative_absolute_error: 0.863, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6557, root_relative_squared_error: 1.3139, scimark_benchmark: 935.8986, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6317, f_measure: 0.6302, kappa: 0.2618, kb_relative_information_score: 25.6192, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6335, predictive_accuracy: 0.63, prior_entropy: 0.9975, recall: 0.63, relative_absolute_error: 0.7426, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6083, root_relative_squared_error: 1.2187, scimark_benchmark: 934.5243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6528, build_cpu_time: 0.045, build_memory: 1210944772, f_measure: 0.6702, kappa: 0.3416, kb_relative_information_score: 18.7496, mean_absolute_error: 0.416, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6737, predictive_accuracy: 0.67, prior_entropy: 0.9975, recall: 0.67, relative_absolute_error: 0.8349, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4985, root_relative_squared_error: 0.9987, scimark_benchmark: 941.7891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6528, build_cpu_time: 0.0471, build_memory: 1089854240.8, f_measure: 0.6702, kappa: 0.3416, kb_relative_information_score: 18.7496, mean_absolute_error: 0.416, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6737, predictive_accuracy: 0.67, prior_entropy: 0.9975, recall: 0.67, relative_absolute_error: 0.8349, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4985, root_relative_squared_error: 0.9987, scimark_benchmark: 929.9115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6528, build_cpu_time: 0.0548, build_memory: 1143368564.8, f_measure: 0.6702, kappa: 0.3416, kb_relative_information_score: 18.7496, mean_absolute_error: 0.416, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6737, predictive_accuracy: 0.67, prior_entropy: 0.9975, recall: 0.67, relative_absolute_error: 0.8349, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4985, root_relative_squared_error: 0.9987, scimark_benchmark: 947.2691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6544, build_cpu_time: 0.0425, build_memory: 711349799.2, f_measure: 0.66, kappa: 0.3224, kb_relative_information_score: 18.7155, mean_absolute_error: 0.4162, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6648, predictive_accuracy: 0.66, prior_entropy: 0.9975, recall: 0.66, relative_absolute_error: 0.8353, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4971, root_relative_squared_error: 0.9959, scimark_benchmark: 926.9332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7768, build_cpu_time: 0.0127, build_memory: 483769728.8, f_measure: 0.68, kappa: 0.3623, kb_relative_information_score: 35.2716, mean_absolute_error: 0.3235, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6849, predictive_accuracy: 0.68, prior_entropy: 0.9975, recall: 0.68, relative_absolute_error: 0.6492, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.505, root_relative_squared_error: 1.0119, scimark_benchmark: 935.8685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8147, build_cpu_time: 0.0141, build_memory: 861336644.8, f_measure: 0.7101, kappa: 0.4186, kb_relative_information_score: 41.9507, mean_absolute_error: 0.2906, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7104, predictive_accuracy: 0.71, prior_entropy: 0.9975, recall: 0.71, relative_absolute_error: 0.5832, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4796, root_relative_squared_error: 0.961, scimark_benchmark: 926.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8236, build_cpu_time: 0.014, build_memory: 985828298.4, f_measure: 0.7302, kappa: 0.46, kb_relative_information_score: 44.7823, mean_absolute_error: 0.2774, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7318, predictive_accuracy: 0.73, prior_entropy: 0.9975, recall: 0.73, relative_absolute_error: 0.5568, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4689, root_relative_squared_error: 0.9396, scimark_benchmark: 939.1359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8236, build_cpu_time: 0.015, build_memory: 1474727088.8, f_measure: 0.7302, kappa: 0.46, kb_relative_information_score: 44.7823, mean_absolute_error: 0.2774, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7318, predictive_accuracy: 0.73, prior_entropy: 0.9975, recall: 0.73, relative_absolute_error: 0.5568, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4689, root_relative_squared_error: 0.9396, scimark_benchmark: 926.4124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8236, build_cpu_time: 0.0181, build_memory: 871837392, f_measure: 0.7302, kappa: 0.46, kb_relative_information_score: 44.7823, mean_absolute_error: 0.2774, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7318, predictive_accuracy: 0.73, prior_entropy: 0.9975, recall: 0.73, relative_absolute_error: 0.5568, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4689, root_relative_squared_error: 0.9396, scimark_benchmark: 916.3022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.778, build_cpu_time: 0.0051, build_memory: 902933388, f_measure: 0.7796, kappa: 0.5573, kb_relative_information_score: 55.7695, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7799, predictive_accuracy: 0.78, prior_entropy: 0.9975, recall: 0.78, relative_absolute_error: 0.4416, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.469, root_relative_squared_error: 0.9398, scimark_benchmark: 907.3828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.778, build_cpu_time: 0.0029, build_memory: 69095886.4, f_measure: 0.7796, kappa: 0.5573, kb_relative_information_score: 55.7695, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7799, predictive_accuracy: 0.78, prior_entropy: 0.9975, recall: 0.78, relative_absolute_error: 0.4416, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.469, root_relative_squared_error: 0.9398, scimark_benchmark: 923.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.778, build_cpu_time: 0.002, build_memory: 1932604664, f_measure: 0.7796, kappa: 0.5573, kb_relative_information_score: 55.7695, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7799, predictive_accuracy: 0.78, prior_entropy: 0.9975, recall: 0.78, relative_absolute_error: 0.4416, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.469, root_relative_squared_error: 0.9398, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.778, build_cpu_time: 0.001, build_memory: 2291213520.8, f_measure: 0.7796, kappa: 0.5573, kb_relative_information_score: 55.7695, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7799, predictive_accuracy: 0.78, prior_entropy: 0.9975, recall: 0.78, relative_absolute_error: 0.4416, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.469, root_relative_squared_error: 0.9398, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.778, build_cpu_time: 0.0012, build_memory: 287192715.2, f_measure: 0.7796, kappa: 0.5573, kb_relative_information_score: 55.7695, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7799, predictive_accuracy: 0.78, prior_entropy: 0.9975, recall: 0.78, relative_absolute_error: 0.4416, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.469, root_relative_squared_error: 0.9398, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8904, build_cpu_time: 0.0345, build_memory: 903059045.6, f_measure: 0.7899, kappa: 0.578, kb_relative_information_score: 42.9283, mean_absolute_error: 0.3023, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7899, predictive_accuracy: 0.79, prior_entropy: 0.9975, recall: 0.79, relative_absolute_error: 0.6067, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.7377, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8904, build_cpu_time: 0.0219, build_memory: 1037689046.4, f_measure: 0.7899, kappa: 0.578, kb_relative_information_score: 42.9283, mean_absolute_error: 0.3023, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7899, predictive_accuracy: 0.79, prior_entropy: 0.9975, recall: 0.79, relative_absolute_error: 0.6067, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.7377, scimark_benchmark: 943.8094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8904, build_cpu_time: 0.034, build_memory: 1757228989.6, f_measure: 0.7899, kappa: 0.578, kb_relative_information_score: 42.9283, mean_absolute_error: 0.3023, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7899, predictive_accuracy: 0.79, prior_entropy: 0.9975, recall: 0.79, relative_absolute_error: 0.6067, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.7377, scimark_benchmark: 920.6725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8904, build_cpu_time: 0.0248, build_memory: 861632718.4, f_measure: 0.7899, kappa: 0.578, kb_relative_information_score: 42.9283, mean_absolute_error: 0.3023, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7899, predictive_accuracy: 0.79, prior_entropy: 0.9975, recall: 0.79, relative_absolute_error: 0.6067, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.7377, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8904, build_cpu_time: 0.0379, build_memory: 804955143.2, f_measure: 0.7899, kappa: 0.578, kb_relative_information_score: 42.9283, mean_absolute_error: 0.3023, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7899, predictive_accuracy: 0.79, prior_entropy: 0.9975, recall: 0.79, relative_absolute_error: 0.6067, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.7377, scimark_benchmark: 915.8564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8075, build_cpu_time: 0.0493, build_memory: 998465863.2, f_measure: 0.7901, kappa: 0.579, kb_relative_information_score: 56.9096, mean_absolute_error: 0.2153, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7904, predictive_accuracy: 0.79, prior_entropy: 0.9975, recall: 0.79, relative_absolute_error: 0.432, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4595, root_relative_squared_error: 0.9207, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8141, build_cpu_time: 0.0263, build_memory: 982377084, f_measure: 0.7796, kappa: 0.5573, kb_relative_information_score: 54.5998, mean_absolute_error: 0.2271, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7799, predictive_accuracy: 0.78, prior_entropy: 0.9975, recall: 0.78, relative_absolute_error: 0.4558, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4649, root_relative_squared_error: 0.9314, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8384, build_cpu_time: 0.019, build_memory: 751041580, f_measure: 0.7901, kappa: 0.579, kb_relative_information_score: 55.7277, mean_absolute_error: 0.2212, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7904, predictive_accuracy: 0.79, prior_entropy: 0.9975, recall: 0.79, relative_absolute_error: 0.444, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4452, root_relative_squared_error: 0.8921, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8543, build_cpu_time: 0.0061, build_memory: 1773403536, f_measure: 0.7486, kappa: 0.4952, kb_relative_information_score: 50.8783, mean_absolute_error: 0.2442, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.751, predictive_accuracy: 0.75, prior_entropy: 0.9975, recall: 0.75, relative_absolute_error: 0.4901, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4613, root_relative_squared_error: 0.9242, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8322, build_cpu_time: 0.0033, build_memory: 455176400, f_measure: 0.7698, kappa: 0.5378, kb_relative_information_score: 48.9799, mean_absolute_error: 0.257, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7698, predictive_accuracy: 0.77, prior_entropy: 0.9975, recall: 0.77, relative_absolute_error: 0.5159, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4381, root_relative_squared_error: 0.8777, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6809, build_cpu_time: 0.0069, build_memory: 1998259892.8, f_measure: 0.6698, kappa: 0.3368, kb_relative_information_score: 22.5774, mean_absolute_error: 0.3945, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6697, predictive_accuracy: 0.67, prior_entropy: 0.9975, recall: 0.67, relative_absolute_error: 0.7918, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5011, root_relative_squared_error: 1.004, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6809, build_cpu_time: 0.007, build_memory: 1938757385.6, f_measure: 0.6698, kappa: 0.3368, kb_relative_information_score: 22.5774, mean_absolute_error: 0.3945, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6697, predictive_accuracy: 0.67, prior_entropy: 0.9975, recall: 0.67, relative_absolute_error: 0.7918, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5011, root_relative_squared_error: 1.004, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6809, build_cpu_time: 0.0072, build_memory: 1293549633.6, f_measure: 0.6698, kappa: 0.3368, kb_relative_information_score: 22.5774, mean_absolute_error: 0.3945, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6697, predictive_accuracy: 0.67, prior_entropy: 0.9975, recall: 0.67, relative_absolute_error: 0.7918, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5011, root_relative_squared_error: 1.004, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6809, build_cpu_time: 0.0092, build_memory: 1652643044, f_measure: 0.6698, kappa: 0.3368, kb_relative_information_score: 22.5774, mean_absolute_error: 0.3945, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6697, predictive_accuracy: 0.67, prior_entropy: 0.9975, recall: 0.67, relative_absolute_error: 0.7918, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5011, root_relative_squared_error: 1.004, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6809, build_cpu_time: 0.0151, build_memory: 310412716.8, f_measure: 0.6698, kappa: 0.3368, kb_relative_information_score: 22.5774, mean_absolute_error: 0.3945, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6697, predictive_accuracy: 0.67, prior_entropy: 0.9975, recall: 0.67, relative_absolute_error: 0.7918, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5011, root_relative_squared_error: 1.004, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.773, build_cpu_time: 0.6456, build_memory: 909628450.4, f_measure: 0.7002, kappa: 0.3993, kb_relative_information_score: 41.5863, mean_absolute_error: 0.29, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.701, predictive_accuracy: 0.7, prior_entropy: 0.9975, recall: 0.7, relative_absolute_error: 0.582, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4984, root_relative_squared_error: 0.9986, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8011, build_cpu_time: 1.2881, build_memory: 57461444.8, f_measure: 0.7502, kappa: 0.5, kb_relative_information_score: 48.842, mean_absolute_error: 0.2543, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7518, predictive_accuracy: 0.75, prior_entropy: 0.9975, recall: 0.75, relative_absolute_error: 0.5104, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4847, root_relative_squared_error: 0.9711, scimark_benchmark: 939.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7943, build_cpu_time: 2.7554, build_memory: 38274722.4, f_measure: 0.7502, kappa: 0.5, kb_relative_information_score: 50.0222, mean_absolute_error: 0.2488, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7518, predictive_accuracy: 0.75, prior_entropy: 0.9975, recall: 0.75, relative_absolute_error: 0.4993, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4914, root_relative_squared_error: 0.9846, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8017, build_cpu_time: 5.1239, build_memory: 130294208, f_measure: 0.7702, kappa: 0.54, kb_relative_information_score: 53.5146, mean_absolute_error: 0.2317, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7718, predictive_accuracy: 0.77, prior_entropy: 0.9975, recall: 0.77, relative_absolute_error: 0.4651, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4738, root_relative_squared_error: 0.9493, scimark_benchmark: 942.3945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.778, build_cpu_time: 9.8104, build_memory: 233319721.6, f_measure: 0.7701, kappa: 0.5389, kb_relative_information_score: 53.66, mean_absolute_error: 0.2307, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7704, predictive_accuracy: 0.77, prior_entropy: 0.9975, recall: 0.77, relative_absolute_error: 0.463, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4794, root_relative_squared_error: 0.9604, scimark_benchmark: 945.5885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7969, build_cpu_time: 7.1425, build_memory: 267448344.8, f_measure: 0.7796, kappa: 0.5573, kb_relative_information_score: 55.6617, mean_absolute_error: 0.2207, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7799, predictive_accuracy: 0.78, prior_entropy: 0.9975, recall: 0.78, relative_absolute_error: 0.443, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.469, root_relative_squared_error: 0.9396, scimark_benchmark: 943.4163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.822, build_cpu_time: 3.6012, build_memory: 103597676, f_measure: 0.78, kappa: 0.5584, kb_relative_information_score: 56.4854, mean_absolute_error: 0.2156, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.78, predictive_accuracy: 0.78, prior_entropy: 0.9975, recall: 0.78, relative_absolute_error: 0.4327, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4604, root_relative_squared_error: 0.9225, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8591, build_cpu_time: 0.8068, build_memory: 808389336, f_measure: 0.7501, kappa: 0.4988, kb_relative_information_score: 51.4677, mean_absolute_error: 0.2402, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7504, predictive_accuracy: 0.75, prior_entropy: 0.9975, recall: 0.75, relative_absolute_error: 0.482, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4692, root_relative_squared_error: 0.94, scimark_benchmark: 942.3919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8669, build_cpu_time: 0.44, build_memory: 97607820.8, f_measure: 0.7791, kappa: 0.5563, kb_relative_information_score: 56.4099, mean_absolute_error: 0.2161, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7808, predictive_accuracy: 0.78, prior_entropy: 0.9975, recall: 0.78, relative_absolute_error: 0.4337, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4442, root_relative_squared_error: 0.89, scimark_benchmark: 942.5053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8633, build_cpu_time: 0.0733, build_memory: 777277686.4, f_measure: 0.759, kappa: 0.5159, kb_relative_information_score: 52.7938, mean_absolute_error: 0.2349, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7605, predictive_accuracy: 0.76, prior_entropy: 0.9975, recall: 0.76, relative_absolute_error: 0.4716, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4594, root_relative_squared_error: 0.9205, scimark_benchmark: 923.3659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8828, build_cpu_time: 0.1353, build_memory: 816244652, f_measure: 0.7894, kappa: 0.577, kb_relative_information_score: 55.7251, mean_absolute_error: 0.2214, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7903, predictive_accuracy: 0.79, prior_entropy: 0.9975, recall: 0.79, relative_absolute_error: 0.4443, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4551, root_relative_squared_error: 0.9119, scimark_benchmark: 874.7324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8292, build_cpu_time: 0.3438, build_memory: 742570043.2, f_measure: 0.7802, kappa: 0.5595, kb_relative_information_score: 55.2122, mean_absolute_error: 0.2225, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.781, predictive_accuracy: 0.78, prior_entropy: 0.9975, recall: 0.78, relative_absolute_error: 0.4466, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4596, root_relative_squared_error: 0.9209, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8414, build_cpu_time: 0.5685, build_memory: 979925007.2, f_measure: 0.8089, kappa: 0.6163, kb_relative_information_score: 61.34, mean_absolute_error: 0.1927, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.812, predictive_accuracy: 0.81, prior_entropy: 0.9975, recall: 0.81, relative_absolute_error: 0.3867, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4301, root_relative_squared_error: 0.8617, scimark_benchmark: 939.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8278, build_cpu_time: 1.3233, build_memory: 584438352.8, f_measure: 0.8193, kappa: 0.637, kb_relative_information_score: 63.7315, mean_absolute_error: 0.1805, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8212, predictive_accuracy: 0.82, prior_entropy: 0.9975, recall: 0.82, relative_absolute_error: 0.3623, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4242, root_relative_squared_error: 0.85, scimark_benchmark: 902.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8254, build_cpu_time: 0.0651, build_memory: 361054527.2, f_measure: 0.7894, kappa: 0.577, kb_relative_information_score: 55.0092, mean_absolute_error: 0.226, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7903, predictive_accuracy: 0.79, prior_entropy: 0.9975, recall: 0.79, relative_absolute_error: 0.4536, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4561, root_relative_squared_error: 0.9138, scimark_benchmark: 945.0532,

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