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Severity: Warning

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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 glass

Supervised Classification on glass

Task 270 Supervised Classification glass 325 runs submitted
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325 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.895, build_cpu_time: 0.092, build_memory: 1096301936, f_measure: 0.6585, kappa: 0.5481, kb_relative_information_score: 37.1173, mean_absolute_error: 0.1336, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.6871, predictive_accuracy: 0.6714, prior_entropy: 2.2315, recall: 0.6714, relative_absolute_error: 0.6281, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2506, root_relative_squared_error: 0.7684, scimark_benchmark: 943.4766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8861, build_cpu_time: 0.046, build_memory: 2105962480, f_measure: 0.6323, kappa: 0.5183, kb_relative_information_score: 37.4925, mean_absolute_error: 0.1334, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.6914, predictive_accuracy: 0.6571, prior_entropy: 2.2315, recall: 0.6571, relative_absolute_error: 0.6275, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2513, root_relative_squared_error: 0.7706, scimark_benchmark: 949.2096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8885, build_cpu_time: 0.024, build_memory: 937665416, f_measure: 0.648, kappa: 0.5644, kb_relative_information_score: 38.4015, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.6583, predictive_accuracy: 0.6857, prior_entropy: 2.2315, recall: 0.6857, relative_absolute_error: 0.6077, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2502, root_relative_squared_error: 0.7673, scimark_benchmark: 941.5201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8885, build_cpu_time: 0.023, build_memory: 2848958440, f_measure: 0.648, kappa: 0.5644, kb_relative_information_score: 38.4015, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.6583, predictive_accuracy: 0.6857, prior_entropy: 2.2315, recall: 0.6857, relative_absolute_error: 0.6077, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2502, root_relative_squared_error: 0.7673, scimark_benchmark: 949.2096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8885, build_cpu_time: 0.023, build_memory: 1071254304, f_measure: 0.648, kappa: 0.5644, kb_relative_information_score: 38.4015, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.6583, predictive_accuracy: 0.6857, prior_entropy: 2.2315, recall: 0.6857, relative_absolute_error: 0.6077, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2502, root_relative_squared_error: 0.7673, scimark_benchmark: 947.4258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9056, build_cpu_time: 0.035, build_memory: 1715129800, f_measure: 0.6612, kappa: 0.5485, kb_relative_information_score: 40.1186, mean_absolute_error: 0.1191, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.6774, predictive_accuracy: 0.6714, prior_entropy: 2.2315, recall: 0.6714, relative_absolute_error: 0.5599, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2466, root_relative_squared_error: 0.7563, scimark_benchmark: 931.0999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9056, build_cpu_time: 0.036, build_memory: 631612664, f_measure: 0.6612, kappa: 0.5485, kb_relative_information_score: 40.1186, mean_absolute_error: 0.1191, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.6774, predictive_accuracy: 0.6714, prior_entropy: 2.2315, recall: 0.6714, relative_absolute_error: 0.5599, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2466, root_relative_squared_error: 0.7563, scimark_benchmark: 929.0404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9162, build_cpu_time: 0.07, build_memory: 2617739880, f_measure: 0.6854, kappa: 0.5632, kb_relative_information_score: 41.114, mean_absolute_error: 0.1171, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.7111, predictive_accuracy: 0.6857, prior_entropy: 2.2315, recall: 0.6857, relative_absolute_error: 0.5506, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2405, root_relative_squared_error: 0.7376, scimark_benchmark: 917.2088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9175, build_cpu_time: 0.132, build_memory: 648805768, f_measure: 0.6655, kappa: 0.5407, kb_relative_information_score: 41.5508, mean_absolute_error: 0.1164, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.691, predictive_accuracy: 0.6714, prior_entropy: 2.2315, recall: 0.6714, relative_absolute_error: 0.5475, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2382, root_relative_squared_error: 0.7303, scimark_benchmark: 940.4855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9206, build_cpu_time: 6.825, build_memory: 387204776, f_measure: 0.7561, kappa: 0.6672, kb_relative_information_score: 40.4506, mean_absolute_error: 0.1215, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.7678, predictive_accuracy: 0.7571, prior_entropy: 2.2315, recall: 0.7571, relative_absolute_error: 0.5715, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2369, root_relative_squared_error: 0.7264, scimark_benchmark: 936.6824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9204, build_cpu_time: 3.308, build_memory: 2628120128, f_measure: 0.7413, kappa: 0.646, kb_relative_information_score: 40.8111, mean_absolute_error: 0.1206, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.7549, predictive_accuracy: 0.7429, prior_entropy: 2.2315, recall: 0.7429, relative_absolute_error: 0.5668, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.236, root_relative_squared_error: 0.7237, scimark_benchmark: 939.4881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9209, build_cpu_time: 2.299, build_memory: 122425136, f_measure: 0.7242, kappa: 0.6241, kb_relative_information_score: 40.7822, mean_absolute_error: 0.1202, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.7391, predictive_accuracy: 0.7286, prior_entropy: 2.2315, recall: 0.7286, relative_absolute_error: 0.5651, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2371, root_relative_squared_error: 0.7271, scimark_benchmark: 941.0306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9209, build_cpu_time: 2.041, build_memory: 592439456, f_measure: 0.7242, kappa: 0.6241, kb_relative_information_score: 40.7822, mean_absolute_error: 0.1202, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.7391, predictive_accuracy: 0.7286, prior_entropy: 2.2315, recall: 0.7286, relative_absolute_error: 0.5651, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2371, root_relative_squared_error: 0.7271, scimark_benchmark: 912.7662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.913, build_cpu_time: 1.028, build_memory: 1591586080, f_measure: 0.7242, kappa: 0.6241, kb_relative_information_score: 40.6395, mean_absolute_error: 0.1202, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.7391, predictive_accuracy: 0.7286, prior_entropy: 2.2315, recall: 0.7286, relative_absolute_error: 0.565, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2402, root_relative_squared_error: 0.7367, scimark_benchmark: 939.4327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9075, build_cpu_time: 0.629, build_memory: 848474072, f_measure: 0.6586, kappa: 0.5573, kb_relative_information_score: 39.2691, mean_absolute_error: 0.1228, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.6485, predictive_accuracy: 0.6857, prior_entropy: 2.2315, recall: 0.6857, relative_absolute_error: 0.5774, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2463, root_relative_squared_error: 0.7552, scimark_benchmark: 910.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9075, build_cpu_time: 0.412, build_memory: 1577959616, f_measure: 0.6586, kappa: 0.5573, kb_relative_information_score: 39.2691, mean_absolute_error: 0.1228, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.6485, predictive_accuracy: 0.6857, prior_entropy: 2.2315, recall: 0.6857, relative_absolute_error: 0.5774, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2463, root_relative_squared_error: 0.7552, scimark_benchmark: 902.1764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7321, build_cpu_time: 0.003, build_memory: 1071407936, f_measure: 0.3936, kappa: 0.2048, kb_relative_information_score: 21.9215, mean_absolute_error: 0.1612, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.3669, predictive_accuracy: 0.4571, prior_entropy: 2.2315, recall: 0.4571, relative_absolute_error: 0.7581, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.32, root_relative_squared_error: 0.9813, scimark_benchmark: 902.1764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7321, build_cpu_time: 0.004, build_memory: 784619440, f_measure: 0.3936, kappa: 0.2048, kb_relative_information_score: 21.9215, mean_absolute_error: 0.1612, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.3669, predictive_accuracy: 0.4571, prior_entropy: 2.2315, recall: 0.4571, relative_absolute_error: 0.7581, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.32, root_relative_squared_error: 0.9813, scimark_benchmark: 940.6012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7317, build_cpu_time: 0.01, build_memory: 497243736, f_measure: 0.4196, kappa: 0.2347, kb_relative_information_score: 19.2083, mean_absolute_error: 0.1645, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.3895, predictive_accuracy: 0.4857, prior_entropy: 2.2315, recall: 0.4857, relative_absolute_error: 0.7735, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.3178, root_relative_squared_error: 0.9745, scimark_benchmark: 942.4281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7317, build_cpu_time: 0.006, build_memory: 401522368, f_measure: 0.4196, kappa: 0.2347, kb_relative_information_score: 19.2083, mean_absolute_error: 0.1645, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.3895, predictive_accuracy: 0.4857, prior_entropy: 2.2315, recall: 0.4857, relative_absolute_error: 0.7735, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.3178, root_relative_squared_error: 0.9745, scimark_benchmark: 926.9727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9231, build_cpu_time: 0.272, build_memory: 219734400, f_measure: 0.7241, kappa: 0.6264, kb_relative_information_score: 40.6081, mean_absolute_error: 0.1217, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.7375, predictive_accuracy: 0.7286, prior_entropy: 2.2315, recall: 0.7286, relative_absolute_error: 0.5721, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2345, root_relative_squared_error: 0.7192, scimark_benchmark: 939.4327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7348, build_cpu_time: 0.012, build_memory: 327545888, f_measure: 0.4196, kappa: 0.2347, kb_relative_information_score: 19.5376, mean_absolute_error: 0.1642, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.3895, predictive_accuracy: 0.4857, prior_entropy: 2.2315, recall: 0.4857, relative_absolute_error: 0.772, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.3127, root_relative_squared_error: 0.9588, scimark_benchmark: 938.3567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7348, build_cpu_time: 0.014, build_memory: 1046318096, f_measure: 0.4196, kappa: 0.2347, kb_relative_information_score: 19.5376, mean_absolute_error: 0.1642, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.3895, predictive_accuracy: 0.4857, prior_entropy: 2.2315, recall: 0.4857, relative_absolute_error: 0.772, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.3127, root_relative_squared_error: 0.9588, scimark_benchmark: 785.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9154, build_cpu_time: 0.147, build_memory: 424982240, f_measure: 0.7142, kappa: 0.6108, kb_relative_information_score: 40.4204, mean_absolute_error: 0.1229, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.7256, predictive_accuracy: 0.7143, prior_entropy: 2.2315, recall: 0.7143, relative_absolute_error: 0.5778, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2384, root_relative_squared_error: 0.7309, scimark_benchmark: 899.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9154, build_cpu_time: 0.138, build_memory: 441288936, f_measure: 0.7142, kappa: 0.6108, kb_relative_information_score: 40.4204, mean_absolute_error: 0.1229, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.7256, predictive_accuracy: 0.7143, prior_entropy: 2.2315, recall: 0.7143, relative_absolute_error: 0.5778, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2384, root_relative_squared_error: 0.7309, scimark_benchmark: 943.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7818, build_cpu_time: 0.024, build_memory: 426610072, f_measure: 0.4637, kappa: 0.3078, kb_relative_information_score: 21.8042, mean_absolute_error: 0.159, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.4233, predictive_accuracy: 0.5286, prior_entropy: 2.2315, recall: 0.5286, relative_absolute_error: 0.7478, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2984, root_relative_squared_error: 0.915, scimark_benchmark: 910.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9022, build_cpu_time: 0.056, build_memory: 322203000, f_measure: 0.7145, kappa: 0.614, kb_relative_information_score: 42.0179, mean_absolute_error: 0.1165, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.7267, predictive_accuracy: 0.7143, prior_entropy: 2.2315, recall: 0.7143, relative_absolute_error: 0.5476, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2385, root_relative_squared_error: 0.7314, scimark_benchmark: 943.2191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.78, build_cpu_time: 0.06, build_memory: 428995496, f_measure: 0.5327, kappa: 0.4116, kb_relative_information_score: 32.6263, mean_absolute_error: 0.1528, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.6163, predictive_accuracy: 0.5571, prior_entropy: 2.2315, recall: 0.5571, relative_absolute_error: 0.7186, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2984, root_relative_squared_error: 0.9151, scimark_benchmark: 939.6798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.78, build_cpu_time: 0.059, build_memory: 1330840352, f_measure: 0.5327, kappa: 0.4116, kb_relative_information_score: 32.6263, mean_absolute_error: 0.1528, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.6163, predictive_accuracy: 0.5571, prior_entropy: 2.2315, recall: 0.5571, relative_absolute_error: 0.7186, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2984, root_relative_squared_error: 0.9151, scimark_benchmark: 905.0866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.911, build_cpu_time: 30.227, build_memory: 128305480, f_measure: 0.6764, kappa: 0.5671, kb_relative_information_score: 39.6207, mean_absolute_error: 0.1239, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.6967, predictive_accuracy: 0.6857, prior_entropy: 2.2315, recall: 0.6857, relative_absolute_error: 0.5828, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2418, root_relative_squared_error: 0.7415, scimark_benchmark: 941.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9104, build_cpu_time: 83.988, build_memory: 1398954856, f_measure: 0.6668, kappa: 0.5509, kb_relative_information_score: 39.2959, mean_absolute_error: 0.1251, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.6786, predictive_accuracy: 0.6714, prior_entropy: 2.2315, recall: 0.6714, relative_absolute_error: 0.5882, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2424, root_relative_squared_error: 0.7432, scimark_benchmark: 909.6624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8614, build_cpu_time: 0.02, build_memory: 44574520, f_measure: 0.5149, kappa: 0.4216, kb_relative_information_score: 23.4722, mean_absolute_error: 0.1693, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.5448, predictive_accuracy: 0.5714, prior_entropy: 2.2315, recall: 0.5714, relative_absolute_error: 0.7959, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2851, root_relative_squared_error: 0.8743, scimark_benchmark: 941.0301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8568, build_cpu_time: 0.009, build_memory: 1422002304, f_measure: 0.4983, kappa: 0.4032, kb_relative_information_score: 23.6195, mean_absolute_error: 0.1699, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.5358, predictive_accuracy: 0.5571, prior_entropy: 2.2315, recall: 0.5571, relative_absolute_error: 0.7987, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.286, root_relative_squared_error: 0.8769, scimark_benchmark: 938.4795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8475, build_cpu_time: 0.146, build_memory: 35962320, f_measure: 0.513, kappa: 0.4197, kb_relative_information_score: 23.5135, mean_absolute_error: 0.1696, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.5414, predictive_accuracy: 0.5714, prior_entropy: 2.2315, recall: 0.5714, relative_absolute_error: 0.7973, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2854, root_relative_squared_error: 0.8751, scimark_benchmark: 864.1117,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8401, build_cpu_time: 0.002, build_memory: 3251663504, f_measure: 0.5249, kappa: 0.4314, kb_relative_information_score: 23.0794, mean_absolute_error: 0.1685, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.51, predictive_accuracy: 0.5857, prior_entropy: 2.2315, recall: 0.5857, relative_absolute_error: 0.7925, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2834, root_relative_squared_error: 0.8691, scimark_benchmark: 944.9147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8952, build_cpu_time: 3.448, build_memory: 63582928, f_measure: 0.754, kappa: 0.6544, kb_relative_information_score: 44.6793, mean_absolute_error: 0.1042, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.7869, predictive_accuracy: 0.7429, prior_entropy: 2.2315, recall: 0.7429, relative_absolute_error: 0.4899, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2438, root_relative_squared_error: 0.7475, scimark_benchmark: 1216.8013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.896, build_cpu_time: 14.252, build_memory: 877833640, f_measure: 0.7351, kappa: 0.6363, kb_relative_information_score: 43.982, mean_absolute_error: 0.108, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.7534, predictive_accuracy: 0.7286, prior_entropy: 2.2315, recall: 0.7286, relative_absolute_error: 0.5077, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2437, root_relative_squared_error: 0.7474, scimark_benchmark: 1212.2248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9007, build_cpu_time: 12.739, build_memory: 111098024, f_measure: 0.7339, kappa: 0.6351, kb_relative_information_score: 44.0659, mean_absolute_error: 0.1075, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.7572, predictive_accuracy: 0.7286, prior_entropy: 2.2315, recall: 0.7286, relative_absolute_error: 0.5057, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2405, root_relative_squared_error: 0.7375, scimark_benchmark: 938.4414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9024, build_cpu_time: 25.212, build_memory: 323801312, f_measure: 0.7594, kappa: 0.6706, kb_relative_information_score: 44.3994, mean_absolute_error: 0.1069, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.7751, predictive_accuracy: 0.7571, prior_entropy: 2.2315, recall: 0.7571, relative_absolute_error: 0.5024, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2379, root_relative_squared_error: 0.7296, scimark_benchmark: 935.2997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8982, build_cpu_time: 50.788, build_memory: 649181600, f_measure: 0.7019, kappa: 0.5966, kb_relative_information_score: 44.0432, mean_absolute_error: 0.1079, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.7172, predictive_accuracy: 0.7, prior_entropy: 2.2315, recall: 0.7, relative_absolute_error: 0.5075, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2381, root_relative_squared_error: 0.73, scimark_benchmark: 942.5482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8935, build_cpu_time: 0.836, build_memory: 1809949104, f_measure: 0.6778, kappa: 0.5886, kb_relative_information_score: 35.4061, mean_absolute_error: 0.128, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.7045, predictive_accuracy: 0.7143, prior_entropy: 2.2315, recall: 0.7143, relative_absolute_error: 0.602, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2503, root_relative_squared_error: 0.7675, scimark_benchmark: 945.2195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.89, build_cpu_time: 1.099, build_memory: 140733832, f_measure: 0.6656, kappa: 0.5674, kb_relative_information_score: 34.544, mean_absolute_error: 0.129, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.6935, predictive_accuracy: 0.7, prior_entropy: 2.2315, recall: 0.7, relative_absolute_error: 0.6068, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2523, root_relative_squared_error: 0.7738, scimark_benchmark: 935.4982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8967, build_cpu_time: 0.267, build_memory: 33048744, f_measure: 0.7305, kappa: 0.6307, kb_relative_information_score: 42.584, mean_absolute_error: 0.1148, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.7475, predictive_accuracy: 0.7286, prior_entropy: 2.2315, recall: 0.7286, relative_absolute_error: 0.5398, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.238, root_relative_squared_error: 0.7299, scimark_benchmark: 933.0524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8967, build_cpu_time: 0.264, build_memory: 58309040, f_measure: 0.7305, kappa: 0.6307, kb_relative_information_score: 42.584, mean_absolute_error: 0.1148, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.7475, predictive_accuracy: 0.7286, prior_entropy: 2.2315, recall: 0.7286, relative_absolute_error: 0.5398, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.238, root_relative_squared_error: 0.7299, scimark_benchmark: 924.3805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.898, build_cpu_time: 0.215, build_memory: 78502568, f_measure: 0.7594, kappa: 0.6719, kb_relative_information_score: 42.8079, mean_absolute_error: 0.1141, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.7749, predictive_accuracy: 0.7571, prior_entropy: 2.2315, recall: 0.7571, relative_absolute_error: 0.5365, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2376, root_relative_squared_error: 0.7285, scimark_benchmark: 941.0097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.898, build_cpu_time: 0.214, build_memory: 1490243176, f_measure: 0.7594, kappa: 0.6719, kb_relative_information_score: 42.8079, mean_absolute_error: 0.1141, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.7749, predictive_accuracy: 0.7571, prior_entropy: 2.2315, recall: 0.7571, relative_absolute_error: 0.5365, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2376, root_relative_squared_error: 0.7285, scimark_benchmark: 948.6111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.893, build_cpu_time: 0.114, build_memory: 2303849080, f_measure: 0.7458, kappa: 0.6507, kb_relative_information_score: 42.281, mean_absolute_error: 0.1151, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.7663, predictive_accuracy: 0.7429, prior_entropy: 2.2315, recall: 0.7429, relative_absolute_error: 0.541, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2423, root_relative_squared_error: 0.743, scimark_benchmark: 910.4574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, build_cpu_time: 0.064, build_memory: 136851128, f_measure: 0.7487, kappa: 0.6528, kb_relative_information_score: 43.1181, mean_absolute_error: 0.1123, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.7746, predictive_accuracy: 0.7429, prior_entropy: 2.2315, recall: 0.7429, relative_absolute_error: 0.5278, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2419, root_relative_squared_error: 0.7416, scimark_benchmark: 947.0581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7046, build_cpu_time: 0.002, build_memory: 2057122440, f_measure: 0.5753, kappa: 0.4048, kb_relative_information_score: 31.8804, mean_absolute_error: 0.1285, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.6116, predictive_accuracy: 0.5714, prior_entropy: 2.2315, recall: 0.5714, relative_absolute_error: 0.6042, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.3277, root_relative_squared_error: 1.005, scimark_benchmark: 946.7825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7046, build_cpu_time: 0.002, build_memory: 1348737744, f_measure: 0.5753, kappa: 0.4048, kb_relative_information_score: 31.8804, mean_absolute_error: 0.1285, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.6116, predictive_accuracy: 0.5714, prior_entropy: 2.2315, recall: 0.5714, relative_absolute_error: 0.6042, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.3277, root_relative_squared_error: 1.005, scimark_benchmark: 946.7756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7046, build_cpu_time: 0.003, build_memory: 1938541840, f_measure: 0.5753, kappa: 0.4048, kb_relative_information_score: 31.8804, mean_absolute_error: 0.1285, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.6116, predictive_accuracy: 0.5714, prior_entropy: 2.2315, recall: 0.5714, relative_absolute_error: 0.6042, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.3277, root_relative_squared_error: 1.005, scimark_benchmark: 910.5418,

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