DEVELOPMENT...

A PHP Error was encountered

Severity: Warning

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

Filename: models/Log.php

Line Number: 37

Backtrace:

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

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

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

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

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

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

A PHP Error was encountered

Severity: Warning

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

Filename: models/Log.php

Line Number: 37

Backtrace:

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

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

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

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

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

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

A PHP Error was encountered

Severity: Warning

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

Filename: models/Log.php

Line Number: 37

Backtrace:

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

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

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

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

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

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

OpenML
OpenML
Supervised Classification on breast-cancer

Supervised Classification on breast-cancer

Task 13 Supervised Classification breast-cancer 767 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • basic mythbusting mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_73 under100k under1m
Issue #Downvotes for this reason By


Metric:

767 Runs

Fetching data
Fetching data
Search runs in more detail run
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6425, f_measure: 0.6923, kappa: 0.245, kb_relative_information_score: 65.6641, mean_absolute_error: 0.2999, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.687, predictive_accuracy: 0.7028, prior_entropy: 0.8796, recall: 0.7028, relative_absolute_error: 0.717, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5201, root_relative_squared_error: 1.1379, scimark_benchmark: 942.6424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6765, f_measure: 0.7066, kappa: 0.266, kb_relative_information_score: 43.1163, mean_absolute_error: 0.3542, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7226, predictive_accuracy: 0.7413, prior_entropy: 0.8796, recall: 0.7413, relative_absolute_error: 0.8468, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4296, root_relative_squared_error: 0.9399, scimark_benchmark: 947.5366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5754, f_measure: 0.6605, kappa: 0.168, kb_relative_information_score: 11.7757, mean_absolute_error: 0.3933, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6539, predictive_accuracy: 0.6713, prior_entropy: 0.8796, recall: 0.6713, relative_absolute_error: 0.9403, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4547, root_relative_squared_error: 0.9949, scimark_benchmark: 945.833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6677, f_measure: 0.6982, kappa: 0.2454, kb_relative_information_score: 31.7598, mean_absolute_error: 0.3627, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7069, predictive_accuracy: 0.7308, prior_entropy: 0.8796, recall: 0.7308, relative_absolute_error: 0.8672, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.443, root_relative_squared_error: 0.9693, scimark_benchmark: 938.1812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5229, f_measure: 0.6159, kappa: 0.061, kb_relative_information_score: 70.049, mean_absolute_error: 0.2937, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.663, predictive_accuracy: 0.7063, prior_entropy: 0.8796, recall: 0.7063, relative_absolute_error: 0.7021, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5419, root_relative_squared_error: 1.1858, scimark_benchmark: 911.0954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5567, f_measure: 0.6809, kappa: 0.2087, kb_relative_information_score: 27.6918, mean_absolute_error: 0.3818, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7462, predictive_accuracy: 0.7413, prior_entropy: 0.8796, recall: 0.7413, relative_absolute_error: 0.9128, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4404, root_relative_squared_error: 0.9637, scimark_benchmark: 944.0138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6267, f_measure: 0.6864, kappa: 0.2518, kb_relative_information_score: 54.6642, mean_absolute_error: 0.3147, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6875, predictive_accuracy: 0.6853, prior_entropy: 0.8796, recall: 0.6853, relative_absolute_error: 0.7523, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.561, root_relative_squared_error: 1.2274, scimark_benchmark: 949.9364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5801, kb_relative_information_score: 67.4849, mean_absolute_error: 0.2972, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.4939, predictive_accuracy: 0.7028, prior_entropy: 0.8796, recall: 0.7028, relative_absolute_error: 0.7105, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5452, root_relative_squared_error: 1.1928, scimark_benchmark: 943.8097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6264, f_measure: 0.6665, kappa: 0.1738, kb_relative_information_score: 27.0862, mean_absolute_error: 0.3675, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6592, predictive_accuracy: 0.6853, prior_entropy: 0.8796, recall: 0.6853, relative_absolute_error: 0.8784, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4637, root_relative_squared_error: 1.0145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5229, f_measure: 0.6159, kappa: 0.061, kb_relative_information_score: 70.049, mean_absolute_error: 0.2937, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.663, predictive_accuracy: 0.7063, prior_entropy: 0.8796, recall: 0.7063, relative_absolute_error: 0.7021, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5419, root_relative_squared_error: 1.1858, scimark_benchmark: 949.0443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6654, f_measure: 0.6712, kappa: 0.1874, kb_relative_information_score: 39.1715, mean_absolute_error: 0.3575, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7478, predictive_accuracy: 0.7378, prior_entropy: 0.8796, recall: 0.7378, relative_absolute_error: 0.8547, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.437, root_relative_squared_error: 0.9562, scimark_benchmark: 921.6462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5861, f_measure: 0.6855, kappa: 0.2141, kb_relative_information_score: 33.3579, mean_absolute_error: 0.3684, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7087, predictive_accuracy: 0.7308, prior_entropy: 0.8796, recall: 0.7308, relative_absolute_error: 0.8806, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4481, root_relative_squared_error: 0.9804, scimark_benchmark: 942.5029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6742, f_measure: 0.6989, kappa: 0.2496, kb_relative_information_score: 47.8321, mean_absolute_error: 0.3422, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7466, predictive_accuracy: 0.7483, prior_entropy: 0.8796, recall: 0.7483, relative_absolute_error: 0.8181, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4349, root_relative_squared_error: 0.9515, scimark_benchmark: 947.8301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5801, kb_relative_information_score: 67.4849, mean_absolute_error: 0.2972, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.4939, predictive_accuracy: 0.7028, prior_entropy: 0.8796, recall: 0.7028, relative_absolute_error: 0.7105, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5452, root_relative_squared_error: 1.1928, scimark_benchmark: 948.1407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6555, f_measure: 0.7017, kappa: 0.254, kb_relative_information_score: 40.7422, mean_absolute_error: 0.3579, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7245, predictive_accuracy: 0.7413, prior_entropy: 0.8796, recall: 0.7413, relative_absolute_error: 0.8556, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.9499, scimark_benchmark: 940.868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5801, kb_relative_information_score: 67.4849, mean_absolute_error: 0.2972, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.4939, predictive_accuracy: 0.7028, prior_entropy: 0.8796, recall: 0.7028, relative_absolute_error: 0.7105, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5452, root_relative_squared_error: 1.1928, scimark_benchmark: 942.7666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5998, f_measure: 0.6927, kappa: 0.2319, kb_relative_information_score: 82.8696, mean_absolute_error: 0.2762, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6974, predictive_accuracy: 0.7238, prior_entropy: 0.8796, recall: 0.7238, relative_absolute_error: 0.6603, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5256, root_relative_squared_error: 1.15, scimark_benchmark: 947.2342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.633, f_measure: 0.7287, kappa: 0.3218, kb_relative_information_score: 113.6392, mean_absolute_error: 0.2343, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7655, predictive_accuracy: 0.7657, prior_entropy: 0.8796, recall: 0.7657, relative_absolute_error: 0.56, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.484, root_relative_squared_error: 1.059, scimark_benchmark: 936.9946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6485, f_measure: 0.7063, kappa: 0.2969, kb_relative_information_score: 70.049, mean_absolute_error: 0.2937, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7063, predictive_accuracy: 0.7063, prior_entropy: 0.8796, recall: 0.7063, relative_absolute_error: 0.7021, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5419, root_relative_squared_error: 1.1858, scimark_benchmark: 945.9313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5229, f_measure: 0.6159, kappa: 0.061, kb_relative_information_score: 70.049, mean_absolute_error: 0.2937, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.663, predictive_accuracy: 0.7063, prior_entropy: 0.8796, recall: 0.7063, relative_absolute_error: 0.7021, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5419, root_relative_squared_error: 1.1858, scimark_benchmark: 942.9803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5832, f_measure: 0.7072, kappa: 0.2682, kb_relative_information_score: 34.7056, mean_absolute_error: 0.3727, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7377, predictive_accuracy: 0.7483, prior_entropy: 0.8796, recall: 0.7483, relative_absolute_error: 0.8908, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4444, root_relative_squared_error: 0.9723, scimark_benchmark: 947.5222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5801, kb_relative_information_score: 67.4849, mean_absolute_error: 0.2972, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.4939, predictive_accuracy: 0.7028, prior_entropy: 0.8796, recall: 0.7028, relative_absolute_error: 0.7105, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5452, root_relative_squared_error: 1.1928, scimark_benchmark: 948.0508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4831, f_measure: 0.5801, kb_relative_information_score: -0.3776, mean_absolute_error: 0.4184, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.4939, predictive_accuracy: 0.7028, prior_entropy: 0.8796, recall: 0.7028, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4571, root_relative_squared_error: 1.0001, scimark_benchmark: 918.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6336, f_measure: 0.6944, kappa: 0.2416, kb_relative_information_score: 23.2934, mean_absolute_error: 0.3805, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6904, predictive_accuracy: 0.7133, prior_entropy: 0.8796, recall: 0.7133, relative_absolute_error: 0.9097, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4418, root_relative_squared_error: 0.9668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5881, f_measure: 0.6982, kappa: 0.2454, kb_relative_information_score: 39.0315, mean_absolute_error: 0.3582, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7069, predictive_accuracy: 0.7308, prior_entropy: 0.8796, recall: 0.7308, relative_absolute_error: 0.8563, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.469, root_relative_squared_error: 1.0261, scimark_benchmark: 925.8632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6483, f_measure: 0.681, kappa: 0.2052, kb_relative_information_score: 32.0501, mean_absolute_error: 0.3613, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6779, predictive_accuracy: 0.7063, prior_entropy: 0.8796, recall: 0.7063, relative_absolute_error: 0.8637, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4464, root_relative_squared_error: 0.9766, scimark_benchmark: 922.5927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6485, f_measure: 0.7063, kappa: 0.2969, kb_relative_information_score: 70.049, mean_absolute_error: 0.2937, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7063, predictive_accuracy: 0.7063, prior_entropy: 0.8796, recall: 0.7063, relative_absolute_error: 0.7021, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5419, root_relative_squared_error: 1.1858, scimark_benchmark: 947.5736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6533, f_measure: 0.723, kappa: 0.3072, kb_relative_information_score: 35.8793, mean_absolute_error: 0.3601, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7516, predictive_accuracy: 0.7587, prior_entropy: 0.8796, recall: 0.7587, relative_absolute_error: 0.8608, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4273, root_relative_squared_error: 0.935, scimark_benchmark: 946.9351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5943, f_measure: 0.7128, kappa: 0.2826, kb_relative_information_score: 38.5654, mean_absolute_error: 0.367, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7524, predictive_accuracy: 0.7552, prior_entropy: 0.8796, recall: 0.7552, relative_absolute_error: 0.8774, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.9446, scimark_benchmark: 926.0023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5229, f_measure: 0.6159, kappa: 0.061, kb_relative_information_score: 70.049, mean_absolute_error: 0.2937, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.663, predictive_accuracy: 0.7063, prior_entropy: 0.8796, recall: 0.7063, relative_absolute_error: 0.7021, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5419, root_relative_squared_error: 1.1858, scimark_benchmark: 887.7943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.637, f_measure: 0.6695, kappa: 0.1734, kb_relative_information_score: 25.198, mean_absolute_error: 0.3712, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.675, predictive_accuracy: 0.7098, prior_entropy: 0.8796, recall: 0.7098, relative_absolute_error: 0.8875, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.452, root_relative_squared_error: 0.9889, scimark_benchmark: 919.2797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6222, f_measure: 0.7178, kappa: 0.2943, kb_relative_information_score: 105.9468, mean_absolute_error: 0.2448, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7471, predictive_accuracy: 0.7552, prior_entropy: 0.8796, recall: 0.7552, relative_absolute_error: 0.5851, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4947, root_relative_squared_error: 1.0825, scimark_benchmark: 945.6126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5229, f_measure: 0.6159, kappa: 0.061, kb_relative_information_score: 70.049, mean_absolute_error: 0.2937, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.663, predictive_accuracy: 0.7063, prior_entropy: 0.8796, recall: 0.7063, relative_absolute_error: 0.7021, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5419, root_relative_squared_error: 1.1858, scimark_benchmark: 915.446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5801, kb_relative_information_score: 67.4849, mean_absolute_error: 0.2972, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.4939, predictive_accuracy: 0.7028, prior_entropy: 0.8796, recall: 0.7028, relative_absolute_error: 0.7105, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5452, root_relative_squared_error: 1.1928, scimark_benchmark: 947.1751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6081, f_measure: 0.6692, kappa: 0.1799, kb_relative_information_score: 38.998, mean_absolute_error: 0.3446, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6624, predictive_accuracy: 0.6888, prior_entropy: 0.8796, recall: 0.6888, relative_absolute_error: 0.8237, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5168, root_relative_squared_error: 1.1307, scimark_benchmark: 948.4648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6485, f_measure: 0.7063, kappa: 0.2969, kb_relative_information_score: 70.049, mean_absolute_error: 0.2937, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7063, predictive_accuracy: 0.7063, prior_entropy: 0.8796, recall: 0.7063, relative_absolute_error: 0.7021, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5419, root_relative_squared_error: 1.1858, scimark_benchmark: 948.8882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.684, f_measure: 0.6959, kappa: 0.2432, kb_relative_information_score: 47.7407, mean_absolute_error: 0.3449, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.751, predictive_accuracy: 0.7483, prior_entropy: 0.8796, recall: 0.7483, relative_absolute_error: 0.8244, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.432, root_relative_squared_error: 0.9452, scimark_benchmark: 921.3167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5659, f_measure: 0.6536, kappa: 0.1434, kb_relative_information_score: 44.4077, mean_absolute_error: 0.3287, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6452, predictive_accuracy: 0.6713, prior_entropy: 0.8796, recall: 0.6713, relative_absolute_error: 0.7857, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5733, root_relative_squared_error: 1.2544, scimark_benchmark: 924.8257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6749, f_measure: 0.6959, kappa: 0.2432, kb_relative_information_score: 45.7077, mean_absolute_error: 0.3461, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.751, predictive_accuracy: 0.7483, prior_entropy: 0.8796, recall: 0.7483, relative_absolute_error: 0.8273, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.435, root_relative_squared_error: 0.9517, scimark_benchmark: 905.6093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6736, f_measure: 0.6901, kappa: 0.2294, kb_relative_information_score: 44.0374, mean_absolute_error: 0.3499, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.746, predictive_accuracy: 0.7448, prior_entropy: 0.8796, recall: 0.7448, relative_absolute_error: 0.8364, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4345, root_relative_squared_error: 0.9506, scimark_benchmark: 915.7421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5276, f_measure: 0.6266, kappa: 0.0663, kb_relative_information_score: 46.9718, mean_absolute_error: 0.3252, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6188, predictive_accuracy: 0.6748, prior_entropy: 0.8796, recall: 0.6748, relative_absolute_error: 0.7773, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5702, root_relative_squared_error: 1.2477, scimark_benchmark: 917.3858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.656, f_measure: 0.6775, kappa: 0.1986, kb_relative_information_score: 30.6267, mean_absolute_error: 0.3582, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6722, predictive_accuracy: 0.6993, prior_entropy: 0.8796, recall: 0.6993, relative_absolute_error: 0.8562, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4574, root_relative_squared_error: 1.0009, scimark_benchmark: 910.4262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6644, f_measure: 0.6536, kappa: 0.1336, kb_relative_information_score: 26.0397, mean_absolute_error: 0.3703, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6537, predictive_accuracy: 0.6958, prior_entropy: 0.8796, recall: 0.6958, relative_absolute_error: 0.8853, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4442, root_relative_squared_error: 0.9719, scimark_benchmark: 943.5922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5276, f_measure: 0.6266, kappa: 0.0663, kb_relative_information_score: 46.9718, mean_absolute_error: 0.3252, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6188, predictive_accuracy: 0.6748, prior_entropy: 0.8796, recall: 0.6748, relative_absolute_error: 0.7773, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5702, root_relative_squared_error: 1.2477, scimark_benchmark: 947.1611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5708, f_measure: 0.6697, kappa: 0.1802, kb_relative_information_score: 87.9979, mean_absolute_error: 0.2692, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7191, predictive_accuracy: 0.7308, prior_entropy: 0.8796, recall: 0.7308, relative_absolute_error: 0.6436, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5189, root_relative_squared_error: 1.1353, scimark_benchmark: 912.8235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5932, f_measure: 0.7128, kappa: 0.2826, kb_relative_information_score: 38.3101, mean_absolute_error: 0.368, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7524, predictive_accuracy: 0.7552, prior_entropy: 0.8796, recall: 0.7552, relative_absolute_error: 0.8797, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4342, root_relative_squared_error: 0.95, scimark_benchmark: 911.0794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6594, f_measure: 0.6817, kappa: 0.2055, kb_relative_information_score: 30.7652, mean_absolute_error: 0.3628, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6804, predictive_accuracy: 0.7098, prior_entropy: 0.8796, recall: 0.7098, relative_absolute_error: 0.8674, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4437, root_relative_squared_error: 0.9709, scimark_benchmark: 946.4216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5831, f_measure: 0.7072, kappa: 0.2682, kb_relative_information_score: 34.5252, mean_absolute_error: 0.3728, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7377, predictive_accuracy: 0.7483, prior_entropy: 0.8796, recall: 0.7483, relative_absolute_error: 0.8912, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4445, root_relative_squared_error: 0.9726, scimark_benchmark: 944.2126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6081, f_measure: 0.6692, kappa: 0.1799, kb_relative_information_score: 38.998, mean_absolute_error: 0.3446, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6624, predictive_accuracy: 0.6888, prior_entropy: 0.8796, recall: 0.6888, relative_absolute_error: 0.8237, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5168, root_relative_squared_error: 1.1307, scimark_benchmark: 890.6063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5229, f_measure: 0.6159, kappa: 0.061, kb_relative_information_score: 70.049, mean_absolute_error: 0.2937, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.663, predictive_accuracy: 0.7063, prior_entropy: 0.8796, recall: 0.7063, relative_absolute_error: 0.7021, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5419, root_relative_squared_error: 1.1858, scimark_benchmark: 910.4133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6561, f_measure: 0.7375, kappa: 0.3477, kb_relative_information_score: 105.9468, mean_absolute_error: 0.2448, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7398, predictive_accuracy: 0.7552, prior_entropy: 0.8796, recall: 0.7552, relative_absolute_error: 0.5851, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4947, root_relative_squared_error: 1.0825, scimark_benchmark: 947.5383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5567, f_measure: 0.6809, kappa: 0.2087, kb_relative_information_score: 27.6918, mean_absolute_error: 0.3818, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7462, predictive_accuracy: 0.7413, prior_entropy: 0.8796, recall: 0.7413, relative_absolute_error: 0.9128, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4404, root_relative_squared_error: 0.9637, scimark_benchmark: 929.0321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6678, f_measure: 0.6809, kappa: 0.2087, kb_relative_information_score: 42.1018, mean_absolute_error: 0.3533, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7462, predictive_accuracy: 0.7413, prior_entropy: 0.8796, recall: 0.7413, relative_absolute_error: 0.8446, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.9531, scimark_benchmark: 917.8713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6749, f_measure: 0.6579, kappa: 0.1458, kb_relative_information_score: 25.991, mean_absolute_error: 0.3727, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6719, predictive_accuracy: 0.7098, prior_entropy: 0.8796, recall: 0.7098, relative_absolute_error: 0.891, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4394, root_relative_squared_error: 0.9614, scimark_benchmark: 947.7149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6711, f_measure: 0.6843, kappa: 0.2155, kb_relative_information_score: 43.7742, mean_absolute_error: 0.3506, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7408, predictive_accuracy: 0.7413, prior_entropy: 0.8796, recall: 0.7413, relative_absolute_error: 0.8382, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4357, root_relative_squared_error: 0.9533, scimark_benchmark: 910.9548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6679, f_measure: 0.6783, kappa: 0.2015, kb_relative_information_score: 42.1907, mean_absolute_error: 0.3522, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7353, predictive_accuracy: 0.7378, prior_entropy: 0.8796, recall: 0.7378, relative_absolute_error: 0.842, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4364, root_relative_squared_error: 0.9549, scimark_benchmark: 948.4488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5801, kb_relative_information_score: 67.4849, mean_absolute_error: 0.2972, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.4939, predictive_accuracy: 0.7028, prior_entropy: 0.8796, recall: 0.7028, relative_absolute_error: 0.7105, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5452, root_relative_squared_error: 1.1928, scimark_benchmark: 948.3877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6533, f_measure: 0.723, kappa: 0.3072, kb_relative_information_score: 35.8793, mean_absolute_error: 0.3601, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7516, predictive_accuracy: 0.7587, prior_entropy: 0.8796, recall: 0.7587, relative_absolute_error: 0.8608, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4273, root_relative_squared_error: 0.935, scimark_benchmark: 948.063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5747, f_measure: 0.628, kappa: 0.0841, kb_relative_information_score: 28.8674, mean_absolute_error: 0.3512, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6185, predictive_accuracy: 0.6434, prior_entropy: 0.8796, recall: 0.6434, relative_absolute_error: 0.8397, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5722, root_relative_squared_error: 1.2519, scimark_benchmark: 947.0444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5943, f_measure: 0.7128, kappa: 0.2826, kb_relative_information_score: 38.5654, mean_absolute_error: 0.367, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7524, predictive_accuracy: 0.7552, prior_entropy: 0.8796, recall: 0.7552, relative_absolute_error: 0.8774, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.9446, scimark_benchmark: 917.6866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5943, f_measure: 0.7128, kappa: 0.2826, kb_relative_information_score: 38.5654, mean_absolute_error: 0.367, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7524, predictive_accuracy: 0.7552, prior_entropy: 0.8796, recall: 0.7552, relative_absolute_error: 0.8774, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.9446, scimark_benchmark: 948.7654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6652, f_measure: 0.67, kappa: 0.1799, kb_relative_information_score: 30.586, mean_absolute_error: 0.3586, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6638, predictive_accuracy: 0.6923, prior_entropy: 0.8796, recall: 0.6923, relative_absolute_error: 0.8572, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4528, root_relative_squared_error: 0.9907, scimark_benchmark: 949.5694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.626, f_measure: 0.6637, kappa: 0.1677, kb_relative_information_score: 27.0286, mean_absolute_error: 0.3673, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6562, predictive_accuracy: 0.6818, prior_entropy: 0.8796, recall: 0.6818, relative_absolute_error: 0.878, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4639, root_relative_squared_error: 1.015, scimark_benchmark: 879.2553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6386, f_measure: 0.7067, kappa: 0.2686, kb_relative_information_score: 50.0539, mean_absolute_error: 0.3238, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7084, predictive_accuracy: 0.7308, prior_entropy: 0.8796, recall: 0.7308, relative_absolute_error: 0.774, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5008, root_relative_squared_error: 1.0958, scimark_benchmark: 947.7878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5567, f_measure: 0.6809, kappa: 0.2087, kb_relative_information_score: 27.6918, mean_absolute_error: 0.3818, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7462, predictive_accuracy: 0.7413, prior_entropy: 0.8796, recall: 0.7413, relative_absolute_error: 0.9128, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4404, root_relative_squared_error: 0.9637, scimark_benchmark: 910.3625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6612, f_measure: 0.6914, kappa: 0.2306, kb_relative_information_score: 26.7526, mean_absolute_error: 0.3699, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6906, predictive_accuracy: 0.7168, prior_entropy: 0.8796, recall: 0.7168, relative_absolute_error: 0.8843, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4457, root_relative_squared_error: 0.9753, scimark_benchmark: 947.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6793, f_measure: 0.6546, kappa: 0.1386, kb_relative_information_score: 27.4836, mean_absolute_error: 0.371, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6713, predictive_accuracy: 0.7098, prior_entropy: 0.8796, recall: 0.7098, relative_absolute_error: 0.8869, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4386, root_relative_squared_error: 0.9596, scimark_benchmark: 948.8091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5767, f_measure: 0.6757, kappa: 0.1943, kb_relative_information_score: 90.562, mean_absolute_error: 0.2657, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7252, predictive_accuracy: 0.7343, prior_entropy: 0.8796, recall: 0.7343, relative_absolute_error: 0.6352, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5155, root_relative_squared_error: 1.1279, scimark_benchmark: 921.2157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6129, f_measure: 0.71, kappa: 0.2754, kb_relative_information_score: 103.3827, mean_absolute_error: 0.2483, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7449, predictive_accuracy: 0.7517, prior_entropy: 0.8796, recall: 0.7517, relative_absolute_error: 0.5935, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4982, root_relative_squared_error: 1.0902, scimark_benchmark: 944.3559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5711, f_measure: 0.6901, kappa: 0.2294, kb_relative_information_score: 31.4817, mean_absolute_error: 0.3767, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.746, predictive_accuracy: 0.7448, prior_entropy: 0.8796, recall: 0.7448, relative_absolute_error: 0.9006, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4399, root_relative_squared_error: 0.9625, scimark_benchmark: 945.5461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5834, f_measure: 0.7072, kappa: 0.2682, kb_relative_information_score: 34.8021, mean_absolute_error: 0.3726, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7377, predictive_accuracy: 0.7483, prior_entropy: 0.8796, recall: 0.7483, relative_absolute_error: 0.8907, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4443, root_relative_squared_error: 0.9722, scimark_benchmark: 945.9589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5567, f_measure: 0.6809, kappa: 0.2087, kb_relative_information_score: 27.6918, mean_absolute_error: 0.3818, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7462, predictive_accuracy: 0.7413, prior_entropy: 0.8796, recall: 0.7413, relative_absolute_error: 0.9128, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4404, root_relative_squared_error: 0.9637, scimark_benchmark: 931.2383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5591, f_measure: 0.6496, kappa: 0.1306, kb_relative_information_score: 44.4077, mean_absolute_error: 0.3287, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6407, predictive_accuracy: 0.6713, prior_entropy: 0.8796, recall: 0.6713, relative_absolute_error: 0.7857, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5733, root_relative_squared_error: 1.2544, scimark_benchmark: 950.4319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6811, f_measure: 0.6521, kappa: 0.1319, kb_relative_information_score: 27.4565, mean_absolute_error: 0.3711, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6651, predictive_accuracy: 0.7063, prior_entropy: 0.8796, recall: 0.7063, relative_absolute_error: 0.8871, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4383, root_relative_squared_error: 0.9591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6723, f_measure: 0.6665, kappa: 0.1665, kb_relative_information_score: 26.4386, mean_absolute_error: 0.3702, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6788, predictive_accuracy: 0.7133, prior_entropy: 0.8796, recall: 0.7133, relative_absolute_error: 0.8851, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4414, root_relative_squared_error: 0.9657, scimark_benchmark: 918.0161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5616, f_measure: 0.6523, kappa: 0.1366, kb_relative_information_score: 46.9718, mean_absolute_error: 0.3252, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6438, predictive_accuracy: 0.6748, prior_entropy: 0.8796, recall: 0.6748, relative_absolute_error: 0.7773, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5702, root_relative_squared_error: 1.2477, scimark_benchmark: 945.9273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5903, f_measure: 0.6824, kappa: 0.2409, kb_relative_information_score: 16.8905, mean_absolute_error: 0.3867, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6829, predictive_accuracy: 0.6818, prior_entropy: 0.8796, recall: 0.6818, relative_absolute_error: 0.9244, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4476, root_relative_squared_error: 0.9794, scimark_benchmark: 914.0905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5213, f_measure: 0.6164, kappa: 0.0558, kb_relative_information_score: 64.9207, mean_absolute_error: 0.3007, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6392, predictive_accuracy: 0.6993, prior_entropy: 0.8796, recall: 0.6993, relative_absolute_error: 0.7188, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5484, root_relative_squared_error: 1.1998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5749, f_measure: 0.6653, kappa: 0.1675, kb_relative_information_score: 57.2283, mean_absolute_error: 0.3112, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6586, predictive_accuracy: 0.6888, prior_entropy: 0.8796, recall: 0.6888, relative_absolute_error: 0.7439, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5578, root_relative_squared_error: 1.2206, scimark_benchmark: 873.685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6608, f_measure: 0.6881, kappa: 0.2211, kb_relative_information_score: 48.1957, mean_absolute_error: 0.3317, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7154, predictive_accuracy: 0.7343, prior_entropy: 0.8796, recall: 0.7343, relative_absolute_error: 0.7929, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4551, root_relative_squared_error: 0.9958, scimark_benchmark: 885.9577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5801, kb_relative_information_score: 67.4849, mean_absolute_error: 0.2972, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.4939, predictive_accuracy: 0.7028, prior_entropy: 0.8796, recall: 0.7028, relative_absolute_error: 0.7105, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5452, root_relative_squared_error: 1.1928, scimark_benchmark: 946.8378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5935, f_measure: 0.7128, kappa: 0.2826, kb_relative_information_score: 38.5871, mean_absolute_error: 0.3678, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7524, predictive_accuracy: 0.7552, prior_entropy: 0.8796, recall: 0.7552, relative_absolute_error: 0.8792, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4362, root_relative_squared_error: 0.9544, scimark_benchmark: 945.6864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5898, f_measure: 0.6489, kappa: 0.1384, kb_relative_information_score: 9.7273, mean_absolute_error: 0.3876, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6414, predictive_accuracy: 0.6608, prior_entropy: 0.8796, recall: 0.6608, relative_absolute_error: 0.9267, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4933, root_relative_squared_error: 1.0794, scimark_benchmark: 938.5939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6533, f_measure: 0.723, kappa: 0.3072, kb_relative_information_score: 35.8793, mean_absolute_error: 0.3601, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7516, predictive_accuracy: 0.7587, prior_entropy: 0.8796, recall: 0.7587, relative_absolute_error: 0.8608, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4273, root_relative_squared_error: 0.935, scimark_benchmark: 911.709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.674, f_measure: 0.6942, kappa: 0.2372, kb_relative_information_score: 34.0859, mean_absolute_error: 0.358, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6946, predictive_accuracy: 0.7203, prior_entropy: 0.8796, recall: 0.7203, relative_absolute_error: 0.8558, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4392, root_relative_squared_error: 0.9609, scimark_benchmark: 951.3993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6665, f_measure: 0.655, kappa: 0.1445, kb_relative_information_score: 19.0905, mean_absolute_error: 0.3879, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6958, predictive_accuracy: 0.7203, prior_entropy: 0.8796, recall: 0.7203, relative_absolute_error: 0.9274, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4399, root_relative_squared_error: 0.9624, scimark_benchmark: 946.2791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5935, f_measure: 0.7128, kappa: 0.2826, kb_relative_information_score: 38.5871, mean_absolute_error: 0.3678, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7524, predictive_accuracy: 0.7552, prior_entropy: 0.8796, recall: 0.7552, relative_absolute_error: 0.8792, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4362, root_relative_squared_error: 0.9544, scimark_benchmark: 834.6058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5801, kb_relative_information_score: 67.4849, mean_absolute_error: 0.2972, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.4939, predictive_accuracy: 0.7028, prior_entropy: 0.8796, recall: 0.7028, relative_absolute_error: 0.7105, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5452, root_relative_squared_error: 1.1928, scimark_benchmark: 942.1175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6533, f_measure: 0.723, kappa: 0.3072, kb_relative_information_score: 35.8793, mean_absolute_error: 0.3601, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7516, predictive_accuracy: 0.7587, prior_entropy: 0.8796, recall: 0.7587, relative_absolute_error: 0.8608, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4273, root_relative_squared_error: 0.935, scimark_benchmark: 947.0837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5229, f_measure: 0.6159, kappa: 0.061, kb_relative_information_score: 70.049, mean_absolute_error: 0.2937, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.663, predictive_accuracy: 0.7063, prior_entropy: 0.8796, recall: 0.7063, relative_absolute_error: 0.7021, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5419, root_relative_squared_error: 1.1858, scimark_benchmark: 947.8112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6566, f_measure: 0.6692, kappa: 0.1799, kb_relative_information_score: 39.5624, mean_absolute_error: 0.3412, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6624, predictive_accuracy: 0.6888, prior_entropy: 0.8796, recall: 0.6888, relative_absolute_error: 0.8158, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4776, root_relative_squared_error: 1.045, scimark_benchmark: 943.4475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6533, f_measure: 0.723, kappa: 0.3072, kb_relative_information_score: 35.8793, mean_absolute_error: 0.3601, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7516, predictive_accuracy: 0.7587, prior_entropy: 0.8796, recall: 0.7587, relative_absolute_error: 0.8608, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4273, root_relative_squared_error: 0.935, scimark_benchmark: 938.6383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.646, f_measure: 0.7033, kappa: 0.291, kb_relative_information_score: 67.4849, mean_absolute_error: 0.2972, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7038, predictive_accuracy: 0.7028, prior_entropy: 0.8796, recall: 0.7028, relative_absolute_error: 0.7105, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5452, root_relative_squared_error: 1.1928, scimark_benchmark: 947.0031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5943, f_measure: 0.7128, kappa: 0.2826, kb_relative_information_score: 38.5654, mean_absolute_error: 0.367, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7524, predictive_accuracy: 0.7552, prior_entropy: 0.8796, recall: 0.7552, relative_absolute_error: 0.8774, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.9446, scimark_benchmark: 947.9728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5229, f_measure: 0.6159, kappa: 0.061, kb_relative_information_score: 70.049, mean_absolute_error: 0.2937, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.663, predictive_accuracy: 0.7063, prior_entropy: 0.8796, recall: 0.7063, relative_absolute_error: 0.7021, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5419, root_relative_squared_error: 1.1858, scimark_benchmark: 948.9773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5801, kb_relative_information_score: 67.4849, mean_absolute_error: 0.2972, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.4939, predictive_accuracy: 0.7028, prior_entropy: 0.8796, recall: 0.7028, relative_absolute_error: 0.7105, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5452, root_relative_squared_error: 1.1928, scimark_benchmark: 912.7497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5932, f_measure: 0.7128, kappa: 0.2826, kb_relative_information_score: 38.1427, mean_absolute_error: 0.3681, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7524, predictive_accuracy: 0.7552, prior_entropy: 0.8796, recall: 0.7552, relative_absolute_error: 0.8801, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4343, root_relative_squared_error: 0.9503, scimark_benchmark: 943.6022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5831, f_measure: 0.7072, kappa: 0.2682, kb_relative_information_score: 34.5252, mean_absolute_error: 0.3728, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7377, predictive_accuracy: 0.7483, prior_entropy: 0.8796, recall: 0.7483, relative_absolute_error: 0.8912, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4445, root_relative_squared_error: 0.9726, scimark_benchmark: 918.2457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6789, f_measure: 0.681, kappa: 0.2052, kb_relative_information_score: 35.7933, mean_absolute_error: 0.3556, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6779, predictive_accuracy: 0.7063, prior_entropy: 0.8796, recall: 0.7063, relative_absolute_error: 0.85, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4447, root_relative_squared_error: 0.9731, scimark_benchmark: 946.4665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7002, f_measure: 0.717, kappa: 0.3047, kb_relative_information_score: 56.4644, mean_absolute_error: 0.3256, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7129, predictive_accuracy: 0.7273, prior_entropy: 0.8796, recall: 0.7273, relative_absolute_error: 0.7783, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4523, root_relative_squared_error: 0.9897, scimark_benchmark: 923.7845,

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