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 heart-c

Supervised Classification on heart-c

Task 48 Supervised Classification heart-c 665 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • basic study_1 study_107 study_41 study_50 testing_tag under100k under1m
Issue #Downvotes for this reason By


Metric:

665 Runs

Fetching data
Fetching data
Search runs in more detail run
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7851, f_measure: 0.7625, kappa: 0.5215, kb_relative_information_score: 110.3586, mean_absolute_error: 0.129, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7627, predictive_accuracy: 0.7624, prior_entropy: 1.0792, recall: 0.7624, relative_absolute_error: 0.6436, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2714, root_relative_squared_error: 0.8615, scimark_benchmark: 946.3804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.893, f_measure: 0.8275, kappa: 0.6515, kb_relative_information_score: 134.8559, mean_absolute_error: 0.1127, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8293, predictive_accuracy: 0.8284, prior_entropy: 1.0792, recall: 0.8284, relative_absolute_error: 0.5625, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.227, root_relative_squared_error: 0.7208, scimark_benchmark: 910.9711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8167, f_measure: 0.8184, kappa: 0.6338, kb_relative_information_score: 36.2313, mean_absolute_error: 0.1818, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8184, predictive_accuracy: 0.8185, prior_entropy: 1.0792, recall: 0.8185, relative_absolute_error: 0.9073, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2896, root_relative_squared_error: 0.9192, scimark_benchmark: 947.7907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.89, f_measure: 0.8273, kappa: 0.6511, kb_relative_information_score: 134.499, mean_absolute_error: 0.1129, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8298, predictive_accuracy: 0.8284, prior_entropy: 1.0792, recall: 0.8284, relative_absolute_error: 0.5633, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2284, root_relative_squared_error: 0.7249, scimark_benchmark: 910.9539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.8374, kappa: 0.6714, kb_relative_information_score: -150.5303, mean_absolute_error: 0.29, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8396, predictive_accuracy: 0.8383, prior_entropy: 1.0792, recall: 0.8383, relative_absolute_error: 1.447, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.3636, root_relative_squared_error: 1.1542, scimark_benchmark: 948.6072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4866, f_measure: 0.384, kb_relative_information_score: -0.4664, mean_absolute_error: 0.2006, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.2965, predictive_accuracy: 0.5446, prior_entropy: 1.0792, recall: 0.5446, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.315, root_relative_squared_error: 1.0001, scimark_benchmark: 947.6967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9081, f_measure: 0.8251, kappa: 0.6476, kb_relative_information_score: 156.9432, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8252, predictive_accuracy: 0.8251, prior_entropy: 1.0792, recall: 0.8251, relative_absolute_error: 0.4723, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2182, root_relative_squared_error: 0.6927, scimark_benchmark: 947.644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8355, f_measure: 0.838, kappa: 0.673, kb_relative_information_score: 38.427, mean_absolute_error: 0.1807, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8382, predictive_accuracy: 0.8383, prior_entropy: 1.0792, recall: 0.8383, relative_absolute_error: 0.9016, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2876, root_relative_squared_error: 0.913, scimark_benchmark: 936.9045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8939, f_measure: 0.8275, kappa: 0.6515, kb_relative_information_score: 135.2973, mean_absolute_error: 0.1124, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8293, predictive_accuracy: 0.8284, prior_entropy: 1.0792, recall: 0.8284, relative_absolute_error: 0.5611, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2265, root_relative_squared_error: 0.7192, scimark_benchmark: 941.9883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8301, f_measure: 0.8341, kappa: 0.6649, kb_relative_information_score: 38.0434, mean_absolute_error: 0.1809, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8359, predictive_accuracy: 0.835, prior_entropy: 1.0792, recall: 0.835, relative_absolute_error: 0.9025, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2879, root_relative_squared_error: 0.9141, scimark_benchmark: 947.2291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8229, f_measure: 0.8273, kappa: 0.6511, kb_relative_information_score: 37.3038, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8298, predictive_accuracy: 0.8284, prior_entropy: 1.0792, recall: 0.8284, relative_absolute_error: 0.9044, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2886, root_relative_squared_error: 0.9161, scimark_benchmark: 944.0699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5145, f_measure: 0.413, kappa: 0.0315, kb_relative_information_score: 6.8949, mean_absolute_error: 0.1967, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.756, predictive_accuracy: 0.5578, prior_entropy: 1.0792, recall: 0.5578, relative_absolute_error: 0.9816, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.3142, root_relative_squared_error: 0.9976, scimark_benchmark: 947.9239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8797, f_measure: 0.8186, kappa: 0.6347, kb_relative_information_score: 154.0893, mean_absolute_error: 0.0951, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8189, predictive_accuracy: 0.8185, prior_entropy: 1.0792, recall: 0.8185, relative_absolute_error: 0.4745, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2323, root_relative_squared_error: 0.7375, scimark_benchmark: 942.4904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7497, f_measure: 0.7556, kappa: 0.507, kb_relative_information_score: 29.5616, mean_absolute_error: 0.1852, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7628, predictive_accuracy: 0.7591, prior_entropy: 1.0792, recall: 0.7591, relative_absolute_error: 0.9242, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2954, root_relative_squared_error: 0.9377, scimark_benchmark: 945.7203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4866, f_measure: 0.384, kb_relative_information_score: -0.4664, mean_absolute_error: 0.2006, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.2965, predictive_accuracy: 0.5446, prior_entropy: 1.0792, recall: 0.5446, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.315, root_relative_squared_error: 1.0001, scimark_benchmark: 910.4272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7885, f_measure: 0.7951, kappa: 0.5865, kb_relative_information_score: 148.0247, mean_absolute_error: 0.0998, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7951, predictive_accuracy: 0.7954, prior_entropy: 1.0792, recall: 0.7954, relative_absolute_error: 0.4979, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2703, root_relative_squared_error: 0.8581, scimark_benchmark: 897.4275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8325, f_measure: 0.8348, kappa: 0.6665, kb_relative_information_score: 38.0618, mean_absolute_error: 0.1809, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8348, predictive_accuracy: 0.835, prior_entropy: 1.0792, recall: 0.835, relative_absolute_error: 0.9025, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2879, root_relative_squared_error: 0.9141, scimark_benchmark: 925.7477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8982, f_measure: 0.8167, kappa: 0.6299, kb_relative_information_score: 148.8902, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8216, predictive_accuracy: 0.8185, prior_entropy: 1.0792, recall: 0.8185, relative_absolute_error: 0.4991, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2254, root_relative_squared_error: 0.7154, scimark_benchmark: 946.0158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7865, f_measure: 0.7886, kappa: 0.5737, kb_relative_information_score: 32.9218, mean_absolute_error: 0.1835, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7886, predictive_accuracy: 0.7888, prior_entropy: 1.0792, recall: 0.7888, relative_absolute_error: 0.9157, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2925, root_relative_squared_error: 0.9285, scimark_benchmark: 943.4304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7176, f_measure: 0.7222, kappa: 0.4391, kb_relative_information_score: 123.4793, mean_absolute_error: 0.1132, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7221, predictive_accuracy: 0.7228, prior_entropy: 1.0792, recall: 0.7228, relative_absolute_error: 0.565, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.3326, root_relative_squared_error: 1.0559, scimark_benchmark: 948.9835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8933, f_measure: 0.8307, kappa: 0.658, kb_relative_information_score: 169.3319, mean_absolute_error: 0.0838, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8329, predictive_accuracy: 0.8317, prior_entropy: 1.0792, recall: 0.8317, relative_absolute_error: 0.418, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2282, root_relative_squared_error: 0.7244, scimark_benchmark: 882.7661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8888, f_measure: 0.8275, kappa: 0.6515, kb_relative_information_score: 134.8727, mean_absolute_error: 0.1127, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8293, predictive_accuracy: 0.8284, prior_entropy: 1.0792, recall: 0.8284, relative_absolute_error: 0.5623, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2282, root_relative_squared_error: 0.7246, scimark_benchmark: 916.6097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8367, f_measure: 0.8382, kappa: 0.6738, kb_relative_information_score: 38.4362, mean_absolute_error: 0.1807, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8382, predictive_accuracy: 0.8383, prior_entropy: 1.0792, recall: 0.8383, relative_absolute_error: 0.9016, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2876, root_relative_squared_error: 0.913, scimark_benchmark: 925.2222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8928, f_measure: 0.8305, kappa: 0.6576, kb_relative_information_score: 135.0621, mean_absolute_error: 0.1126, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8335, predictive_accuracy: 0.8317, prior_entropy: 1.0792, recall: 0.8317, relative_absolute_error: 0.5619, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2269, root_relative_squared_error: 0.7202, scimark_benchmark: 946.7014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8211, f_measure: 0.7911, kappa: 0.5781, kb_relative_information_score: 143.4513, mean_absolute_error: 0.104, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7923, predictive_accuracy: 0.7921, prior_entropy: 1.0792, recall: 0.7921, relative_absolute_error: 0.519, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.255, root_relative_squared_error: 0.8094, scimark_benchmark: 948.3197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8159, f_measure: 0.7888, kappa: 0.5742, kb_relative_information_score: 141.3904, mean_absolute_error: 0.1056, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7888, predictive_accuracy: 0.7888, prior_entropy: 1.0792, recall: 0.7888, relative_absolute_error: 0.5268, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2591, root_relative_squared_error: 0.8225, scimark_benchmark: 947.2156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8111, f_measure: 0.7955, kappa: 0.588, kb_relative_information_score: 160.8761, mean_absolute_error: 0.088, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7957, predictive_accuracy: 0.7954, prior_entropy: 1.0792, recall: 0.7954, relative_absolute_error: 0.4391, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2683, root_relative_squared_error: 0.8518, scimark_benchmark: 913.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8461, f_measure: 0.812, kappa: 0.6214, kb_relative_information_score: 147.7048, mean_absolute_error: 0.099, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8123, predictive_accuracy: 0.8119, prior_entropy: 1.0792, recall: 0.8119, relative_absolute_error: 0.4942, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2491, root_relative_squared_error: 0.7907, scimark_benchmark: 946.4303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8993, f_measure: 0.818, kappa: 0.6325, kb_relative_information_score: 155.6796, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8184, predictive_accuracy: 0.8185, prior_entropy: 1.0792, recall: 0.8185, relative_absolute_error: 0.4736, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2228, root_relative_squared_error: 0.7074, scimark_benchmark: 946.2302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.832, f_measure: 0.8369, kappa: 0.6707, kb_relative_information_score: 38.3993, mean_absolute_error: 0.1807, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.841, predictive_accuracy: 0.8383, prior_entropy: 1.0792, recall: 0.8383, relative_absolute_error: 0.9016, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2876, root_relative_squared_error: 0.913, scimark_benchmark: 945.6794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7159, f_measure: 0.7217, kappa: 0.4418, kb_relative_information_score: 26.2244, mean_absolute_error: 0.1869, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7389, predictive_accuracy: 0.7294, prior_entropy: 1.0792, recall: 0.7294, relative_absolute_error: 0.9327, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2982, root_relative_squared_error: 0.9467, scimark_benchmark: 945.5901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6888, f_measure: 0.6926, kappa: 0.3894, kb_relative_information_score: 23.6222, mean_absolute_error: 0.1882, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7241, predictive_accuracy: 0.7063, prior_entropy: 1.0792, recall: 0.7063, relative_absolute_error: 0.9393, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.3004, root_relative_squared_error: 0.9537, scimark_benchmark: 948.7498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8952, f_measure: 0.8186, kappa: 0.6347, kb_relative_information_score: 156.2834, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8189, predictive_accuracy: 0.8185, prior_entropy: 1.0792, recall: 0.8185, relative_absolute_error: 0.4698, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2244, root_relative_squared_error: 0.7124, scimark_benchmark: 947.3121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.898, f_measure: 0.8212, kappa: 0.639, kb_relative_information_score: 158.8089, mean_absolute_error: 0.0926, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8218, predictive_accuracy: 0.8218, prior_entropy: 1.0792, recall: 0.8218, relative_absolute_error: 0.4621, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2216, root_relative_squared_error: 0.7036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.384, kb_relative_information_score: 5.4158, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.2965, predictive_accuracy: 0.5446, prior_entropy: 1.0792, recall: 0.5446, relative_absolute_error: 0.9854, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.3154, root_relative_squared_error: 1.0014, scimark_benchmark: 947.0449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8252, f_measure: 0.828, kappa: 0.6528, kb_relative_information_score: 37.3222, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8283, predictive_accuracy: 0.8284, prior_entropy: 1.0792, recall: 0.8284, relative_absolute_error: 0.9044, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2886, root_relative_squared_error: 0.9161, scimark_benchmark: 946.7822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.903, f_measure: 0.8314, kappa: 0.6597, kb_relative_information_score: 156.9161, mean_absolute_error: 0.0945, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8315, predictive_accuracy: 0.8317, prior_entropy: 1.0792, recall: 0.8317, relative_absolute_error: 0.4717, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2205, root_relative_squared_error: 0.7001, scimark_benchmark: 924.4523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8433, f_measure: 0.8448, kappa: 0.6871, kb_relative_information_score: 39.1711, mean_absolute_error: 0.1803, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8448, predictive_accuracy: 0.8449, prior_entropy: 1.0792, recall: 0.8449, relative_absolute_error: 0.8997, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2869, root_relative_squared_error: 0.9109, scimark_benchmark: 946.8815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8125, f_measure: 0.8149, kappa: 0.6265, kb_relative_information_score: 35.8569, mean_absolute_error: 0.182, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.815, predictive_accuracy: 0.8152, prior_entropy: 1.0792, recall: 0.8152, relative_absolute_error: 0.9082, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2899, root_relative_squared_error: 0.9203, scimark_benchmark: 948.8178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8979, f_measure: 0.8277, kappa: 0.652, kb_relative_information_score: 140.4774, mean_absolute_error: 0.1076, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8288, predictive_accuracy: 0.8284, prior_entropy: 1.0792, recall: 0.8284, relative_absolute_error: 0.5369, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2254, root_relative_squared_error: 0.7156, scimark_benchmark: 915.574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.8408, kappa: 0.6783, kb_relative_information_score: 167.8654, mean_absolute_error: 0.0862, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8426, predictive_accuracy: 0.8416, prior_entropy: 1.0792, recall: 0.8416, relative_absolute_error: 0.43, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2188, root_relative_squared_error: 0.6947, scimark_benchmark: 947.7916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7714, f_measure: 0.7654, kappa: 0.5268, kb_relative_information_score: 123.6236, mean_absolute_error: 0.1187, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7654, predictive_accuracy: 0.7657, prior_entropy: 1.0792, recall: 0.7657, relative_absolute_error: 0.5923, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2776, root_relative_squared_error: 0.8813, scimark_benchmark: 945.5172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6062, f_measure: 0.5835, kappa: 0.2249, kb_relative_information_score: 15.8063, mean_absolute_error: 0.1922, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7027, predictive_accuracy: 0.637, prior_entropy: 1.0792, recall: 0.637, relative_absolute_error: 0.959, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.3069, root_relative_squared_error: 0.9744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8978, f_measure: 0.8277, kappa: 0.652, kb_relative_information_score: 143.0156, mean_absolute_error: 0.1053, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8288, predictive_accuracy: 0.8284, prior_entropy: 1.0792, recall: 0.8284, relative_absolute_error: 0.5257, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2254, root_relative_squared_error: 0.7156, scimark_benchmark: 939.0104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.384, kb_relative_information_score: 5.4158, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.2965, predictive_accuracy: 0.5446, prior_entropy: 1.0792, recall: 0.5446, relative_absolute_error: 0.9854, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.3154, root_relative_squared_error: 1.0014, scimark_benchmark: 946.9547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8718, f_measure: 0.8015, kappa: 0.5994, kb_relative_information_score: 160.0551, mean_absolute_error: 0.0891, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8018, predictive_accuracy: 0.802, prior_entropy: 1.0792, recall: 0.802, relative_absolute_error: 0.4445, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2472, root_relative_squared_error: 0.7848, scimark_benchmark: 946.1256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.811, f_measure: 0.7727, kappa: 0.5439, kb_relative_information_score: 119.0818, mean_absolute_error: 0.1229, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7752, predictive_accuracy: 0.7723, prior_entropy: 1.0792, recall: 0.7723, relative_absolute_error: 0.6133, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2614, root_relative_squared_error: 0.8298, scimark_benchmark: 949.4005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4866, f_measure: 0.384, kb_relative_information_score: -0.4664, mean_absolute_error: 0.2006, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.2965, predictive_accuracy: 0.5446, prior_entropy: 1.0792, recall: 0.5446, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.315, root_relative_squared_error: 1.0001, scimark_benchmark: 949.7704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9012, f_measure: 0.8284, kappa: 0.654, kb_relative_information_score: 156.0128, mean_absolute_error: 0.0952, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8284, predictive_accuracy: 0.8284, prior_entropy: 1.0792, recall: 0.8284, relative_absolute_error: 0.4749, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2214, root_relative_squared_error: 0.7029, scimark_benchmark: 950.0545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8911, f_measure: 0.8273, kappa: 0.6511, kb_relative_information_score: 134.4192, mean_absolute_error: 0.113, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8298, predictive_accuracy: 0.8284, prior_entropy: 1.0792, recall: 0.8284, relative_absolute_error: 0.5642, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2277, root_relative_squared_error: 0.7229, scimark_benchmark: 947.3252,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.881, f_measure: 0.8273, kappa: 0.6511, kb_relative_information_score: 135.2919, mean_absolute_error: 0.1118, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8298, predictive_accuracy: 0.8284, prior_entropy: 1.0792, recall: 0.8284, relative_absolute_error: 0.5581, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2316, root_relative_squared_error: 0.7352, scimark_benchmark: 902.913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7883, f_measure: 0.789, kappa: 0.5752, kb_relative_information_score: 32.9356, mean_absolute_error: 0.1835, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7895, predictive_accuracy: 0.7888, prior_entropy: 1.0792, recall: 0.7888, relative_absolute_error: 0.9157, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2925, root_relative_squared_error: 0.9285, scimark_benchmark: 948.7838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8641, f_measure: 0.8206, kappa: 0.6377, kb_relative_information_score: 150.3801, mean_absolute_error: 0.0977, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8231, predictive_accuracy: 0.8218, prior_entropy: 1.0792, recall: 0.8218, relative_absolute_error: 0.4877, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2396, root_relative_squared_error: 0.7608, scimark_benchmark: 943.6071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8661, f_measure: 0.7381, kappa: 0.4709, kb_relative_information_score: 104.0969, mean_absolute_error: 0.1338, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7388, predictive_accuracy: 0.7393, prior_entropy: 1.0792, recall: 0.7393, relative_absolute_error: 0.6677, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.262, root_relative_squared_error: 0.8317, scimark_benchmark: 912.3481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.8408, kappa: 0.6783, kb_relative_information_score: 167.8654, mean_absolute_error: 0.0862, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8426, predictive_accuracy: 0.8416, prior_entropy: 1.0792, recall: 0.8416, relative_absolute_error: 0.43, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2188, root_relative_squared_error: 0.6947, scimark_benchmark: 940.5713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8294, f_measure: 0.7627, kappa: 0.5226, kb_relative_information_score: 123.8681, mean_absolute_error: 0.1185, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7636, predictive_accuracy: 0.7624, prior_entropy: 1.0792, recall: 0.7624, relative_absolute_error: 0.5911, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2585, root_relative_squared_error: 0.8208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7327, f_measure: 0.7356, kappa: 0.4665, kb_relative_information_score: 134.0206, mean_absolute_error: 0.1056, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7355, predictive_accuracy: 0.736, prior_entropy: 1.0792, recall: 0.736, relative_absolute_error: 0.527, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.325, root_relative_squared_error: 1.0317, scimark_benchmark: 946.2295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8258, f_measure: 0.8281, kappa: 0.6532, kb_relative_information_score: 37.3268, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8282, predictive_accuracy: 0.8284, prior_entropy: 1.0792, recall: 0.8284, relative_absolute_error: 0.9044, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2886, root_relative_squared_error: 0.9161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8216, f_measure: 0.8246, kappa: 0.6459, kb_relative_information_score: 36.9525, mean_absolute_error: 0.1814, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8251, predictive_accuracy: 0.8251, prior_entropy: 1.0792, recall: 0.8251, relative_absolute_error: 0.9054, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2889, root_relative_squared_error: 0.9172, scimark_benchmark: 948.4548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8958, f_measure: 0.8209, kappa: 0.6381, kb_relative_information_score: 167.9906, mean_absolute_error: 0.0845, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8226, predictive_accuracy: 0.8218, prior_entropy: 1.0792, recall: 0.8218, relative_absolute_error: 0.4217, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.228, root_relative_squared_error: 0.7238, scimark_benchmark: 946.0384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7409, f_measure: 0.7426, kappa: 0.481, kb_relative_information_score: 136.8138, mean_absolute_error: 0.1038, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7426, predictive_accuracy: 0.7426, prior_entropy: 1.0792, recall: 0.7426, relative_absolute_error: 0.5178, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.3199, root_relative_squared_error: 1.0155, scimark_benchmark: 917.8788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.788, f_measure: 0.7717, kappa: 0.539, kb_relative_information_score: 133.5846, mean_absolute_error: 0.1106, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7719, predictive_accuracy: 0.7723, prior_entropy: 1.0792, recall: 0.7723, relative_absolute_error: 0.5521, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2739, root_relative_squared_error: 0.8695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8016, f_measure: 0.8048, kappa: 0.6058, kb_relative_information_score: 34.7476, mean_absolute_error: 0.1826, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8051, predictive_accuracy: 0.8053, prior_entropy: 1.0792, recall: 0.8053, relative_absolute_error: 0.911, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2909, root_relative_squared_error: 0.9234, scimark_benchmark: 944.3005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7587, f_measure: 0.7364, kappa: 0.4733, kb_relative_information_score: 91.7383, mean_absolute_error: 0.1425, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7421, predictive_accuracy: 0.736, prior_entropy: 1.0792, recall: 0.736, relative_absolute_error: 0.7113, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2768, root_relative_squared_error: 0.8788, scimark_benchmark: 940.9064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8077, f_measure: 0.7524, kappa: 0.5007, kb_relative_information_score: 112.1612, mean_absolute_error: 0.1273, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7523, predictive_accuracy: 0.7525, prior_entropy: 1.0792, recall: 0.7525, relative_absolute_error: 0.6352, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2644, root_relative_squared_error: 0.8394, scimark_benchmark: 950.176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5815, f_measure: 0.5382, kappa: 0.1743, kb_relative_information_score: 13.5647, mean_absolute_error: 0.1933, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7274, predictive_accuracy: 0.6172, prior_entropy: 1.0792, recall: 0.6172, relative_absolute_error: 0.9647, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.3088, root_relative_squared_error: 0.9803, scimark_benchmark: 947.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8119, f_measure: 0.7687, kappa: 0.5331, kb_relative_information_score: 122.141, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7686, predictive_accuracy: 0.769, prior_entropy: 1.0792, recall: 0.769, relative_absolute_error: 0.599, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2644, root_relative_squared_error: 0.8395, scimark_benchmark: 920.4933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5332, f_measure: 0.452, kappa: 0.0718, kb_relative_information_score: 8.7484, mean_absolute_error: 0.1958, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7199, predictive_accuracy: 0.5743, prior_entropy: 1.0792, recall: 0.5743, relative_absolute_error: 0.9769, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.3127, root_relative_squared_error: 0.9928, scimark_benchmark: 911.1524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5416, f_measure: 0.4735, kappa: 0.0897, kb_relative_information_score: 9.4971, mean_absolute_error: 0.1954, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.6835, predictive_accuracy: 0.5809, prior_entropy: 1.0792, recall: 0.5809, relative_absolute_error: 0.975, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.3121, root_relative_squared_error: 0.9909, scimark_benchmark: 912.1229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8186, f_measure: 0.7516, kappa: 0.4983, kb_relative_information_score: 114.8943, mean_absolute_error: 0.1249, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.752, predictive_accuracy: 0.7525, prior_entropy: 1.0792, recall: 0.7525, relative_absolute_error: 0.6232, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.261, root_relative_squared_error: 0.8286, scimark_benchmark: 887.8971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7762, f_measure: 0.7715, kappa: 0.5384, kb_relative_information_score: 129.7699, mean_absolute_error: 0.1141, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.772, predictive_accuracy: 0.7723, prior_entropy: 1.0792, recall: 0.7723, relative_absolute_error: 0.5692, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2746, root_relative_squared_error: 0.8717, scimark_benchmark: 941.0897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.8408, kappa: 0.6783, kb_relative_information_score: 167.8654, mean_absolute_error: 0.0862, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8426, predictive_accuracy: 0.8416, prior_entropy: 1.0792, recall: 0.8416, relative_absolute_error: 0.43, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2188, root_relative_squared_error: 0.6947, scimark_benchmark: 911.3161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7798, f_measure: 0.782, kappa: 0.5603, kb_relative_information_score: 32.1868, mean_absolute_error: 0.1839, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.782, predictive_accuracy: 0.7822, prior_entropy: 1.0792, recall: 0.7822, relative_absolute_error: 0.9176, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2931, root_relative_squared_error: 0.9305, scimark_benchmark: 949.8596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5036, f_measure: 0.3914, kappa: 0.0079, kb_relative_information_score: 5.7856, mean_absolute_error: 0.1973, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.753, predictive_accuracy: 0.5479, prior_entropy: 1.0792, recall: 0.5479, relative_absolute_error: 0.9844, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.3151, root_relative_squared_error: 1.0004, scimark_benchmark: 947.2727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9025, f_measure: 0.8408, kappa: 0.6783, kb_relative_information_score: 168.1459, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8426, predictive_accuracy: 0.8416, prior_entropy: 1.0792, recall: 0.8416, relative_absolute_error: 0.429, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2184, root_relative_squared_error: 0.6934, scimark_benchmark: 948.9969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.384, kb_relative_information_score: 5.4158, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.2965, predictive_accuracy: 0.5446, prior_entropy: 1.0792, recall: 0.5446, relative_absolute_error: 0.9854, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.3154, root_relative_squared_error: 1.0014, scimark_benchmark: 924.5418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7994, f_measure: 0.792, kappa: 0.5806, kb_relative_information_score: 153.0659, mean_absolute_error: 0.095, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.792, predictive_accuracy: 0.7921, prior_entropy: 1.0792, recall: 0.7921, relative_absolute_error: 0.4743, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2702, root_relative_squared_error: 0.8577, scimark_benchmark: 949.5351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7327, f_measure: 0.7356, kappa: 0.4665, kb_relative_information_score: 134.0206, mean_absolute_error: 0.1056, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7355, predictive_accuracy: 0.736, prior_entropy: 1.0792, recall: 0.736, relative_absolute_error: 0.527, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.325, root_relative_squared_error: 1.0317, scimark_benchmark: 910.018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7815, f_measure: 0.753, kappa: 0.5048, kb_relative_information_score: 104.7726, mean_absolute_error: 0.1332, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7562, predictive_accuracy: 0.7525, prior_entropy: 1.0792, recall: 0.7525, relative_absolute_error: 0.6648, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2711, root_relative_squared_error: 0.8607, scimark_benchmark: 915.9564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8841, f_measure: 0.8271, kappa: 0.6507, kb_relative_information_score: 134.3414, mean_absolute_error: 0.113, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8305, predictive_accuracy: 0.8284, prior_entropy: 1.0792, recall: 0.8284, relative_absolute_error: 0.5641, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2298, root_relative_squared_error: 0.7294, scimark_benchmark: 943.6742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7655, f_measure: 0.743, kappa: 0.4835, kb_relative_information_score: 98.2918, mean_absolute_error: 0.1378, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7445, predictive_accuracy: 0.7426, prior_entropy: 1.0792, recall: 0.7426, relative_absolute_error: 0.6875, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2748, root_relative_squared_error: 0.8725, scimark_benchmark: 929.6033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8111, f_measure: 0.7955, kappa: 0.588, kb_relative_information_score: 160.8761, mean_absolute_error: 0.088, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7957, predictive_accuracy: 0.7954, prior_entropy: 1.0792, recall: 0.7954, relative_absolute_error: 0.4391, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2683, root_relative_squared_error: 0.8518, scimark_benchmark: 939.7088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5145, f_measure: 0.413, kappa: 0.0315, kb_relative_information_score: 6.8949, mean_absolute_error: 0.1967, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.756, predictive_accuracy: 0.5578, prior_entropy: 1.0792, recall: 0.5578, relative_absolute_error: 0.9816, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.3142, root_relative_squared_error: 0.9976, scimark_benchmark: 939.8179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8958, f_measure: 0.8246, kappa: 0.6459, kb_relative_information_score: 160.1304, mean_absolute_error: 0.0913, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8251, predictive_accuracy: 0.8251, prior_entropy: 1.0792, recall: 0.8251, relative_absolute_error: 0.4557, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.225, root_relative_squared_error: 0.7144, scimark_benchmark: 947.7355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6767, f_measure: 0.6787, kappa: 0.3661, kb_relative_information_score: 22.5037, mean_absolute_error: 0.1888, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7201, predictive_accuracy: 0.6964, prior_entropy: 1.0792, recall: 0.6964, relative_absolute_error: 0.9421, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.3014, root_relative_squared_error: 0.9567, scimark_benchmark: 948.9596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7847, f_measure: 0.7881, kappa: 0.5721, kb_relative_information_score: 32.908, mean_absolute_error: 0.1835, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7886, predictive_accuracy: 0.7888, prior_entropy: 1.0792, recall: 0.7888, relative_absolute_error: 0.9157, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2925, root_relative_squared_error: 0.9285, scimark_benchmark: 916.6566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7327, f_measure: 0.7356, kappa: 0.4665, kb_relative_information_score: 134.0206, mean_absolute_error: 0.1056, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7355, predictive_accuracy: 0.736, prior_entropy: 1.0792, recall: 0.736, relative_absolute_error: 0.527, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.325, root_relative_squared_error: 1.0317, scimark_benchmark: 919.3444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8931, f_measure: 0.8231, kappa: 0.6429, kb_relative_information_score: 123.8173, mean_absolute_error: 0.1222, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8294, predictive_accuracy: 0.8251, prior_entropy: 1.0792, recall: 0.8251, relative_absolute_error: 0.6099, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2295, root_relative_squared_error: 0.7286, scimark_benchmark: 919.7167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.696, f_measure: 0.7004, kappa: 0.4038, kb_relative_information_score: 24.3617, mean_absolute_error: 0.1878, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7297, predictive_accuracy: 0.7129, prior_entropy: 1.0792, recall: 0.7129, relative_absolute_error: 0.9374, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2998, root_relative_squared_error: 0.9517, scimark_benchmark: 947.9232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, f_measure: 0.8284, kappa: 0.654, kb_relative_information_score: 37.336, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8284, predictive_accuracy: 0.8284, prior_entropy: 1.0792, recall: 0.8284, relative_absolute_error: 0.9044, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2886, root_relative_squared_error: 0.9161, scimark_benchmark: 916.6159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.384, kb_relative_information_score: 5.4158, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.2965, predictive_accuracy: 0.5446, prior_entropy: 1.0792, recall: 0.5446, relative_absolute_error: 0.9854, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.3154, root_relative_squared_error: 1.0014, scimark_benchmark: 949.2413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8313, f_measure: 0.8345, kappa: 0.6657, kb_relative_information_score: 38.0526, mean_absolute_error: 0.1809, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8351, predictive_accuracy: 0.835, prior_entropy: 1.0792, recall: 0.835, relative_absolute_error: 0.9025, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2879, root_relative_squared_error: 0.9141, scimark_benchmark: 948.7707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8833, f_measure: 0.8312, kappa: 0.6593, kb_relative_information_score: 154.1439, mean_absolute_error: 0.0957, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8317, predictive_accuracy: 0.8317, prior_entropy: 1.0792, recall: 0.8317, relative_absolute_error: 0.4778, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2297, root_relative_squared_error: 0.7293, scimark_benchmark: 944.2291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8111, f_measure: 0.7955, kappa: 0.588, kb_relative_information_score: 160.8761, mean_absolute_error: 0.088, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7957, predictive_accuracy: 0.7954, prior_entropy: 1.0792, recall: 0.7954, relative_absolute_error: 0.4391, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2683, root_relative_squared_error: 0.8518, scimark_benchmark: 945.313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.806, f_measure: 0.749, kappa: 0.4937, kb_relative_information_score: 110.1353, mean_absolute_error: 0.1287, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7489, predictive_accuracy: 0.7492, prior_entropy: 1.0792, recall: 0.7492, relative_absolute_error: 0.6421, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2647, root_relative_squared_error: 0.8403, scimark_benchmark: 921.7348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7586, f_measure: 0.7594, kappa: 0.5157, kb_relative_information_score: 29.6306, mean_absolute_error: 0.1852, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7601, predictive_accuracy: 0.7591, prior_entropy: 1.0792, recall: 0.7591, relative_absolute_error: 0.9242, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2954, root_relative_squared_error: 0.9377, scimark_benchmark: 947.2903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8404, f_measure: 0.7741, kappa: 0.5438, kb_relative_information_score: 143.7551, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7761, predictive_accuracy: 0.7756, prior_entropy: 1.0792, recall: 0.7756, relative_absolute_error: 0.5032, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2564, root_relative_squared_error: 0.814, scimark_benchmark: 920.0687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6713, f_measure: 0.671, kappa: 0.3564, kb_relative_information_score: 22.1201, mean_absolute_error: 0.189, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7256, predictive_accuracy: 0.6931, prior_entropy: 1.0792, recall: 0.6931, relative_absolute_error: 0.943, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.3017, root_relative_squared_error: 0.9577, scimark_benchmark: 948.4192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8337, f_measure: 0.8375, kappa: 0.6718, kb_relative_information_score: 38.4132, mean_absolute_error: 0.1807, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.839, predictive_accuracy: 0.8383, prior_entropy: 1.0792, recall: 0.8383, relative_absolute_error: 0.9016, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2876, root_relative_squared_error: 0.913, scimark_benchmark: 923.9475,

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