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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
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Function: query

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Function: loadpage

File: /var/www/openml/index.php
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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
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Function: sql

File: /var/www/openml/openml_OS/views/pages/frontend/t/pre.php
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File: /var/www/openml/openml_OS/controllers/Frontend.php
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Function: loadpage

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

OpenML
OpenML
Supervised Classification on tic-tac-toe

Supervised Classification on tic-tac-toe

Task 49 Supervised Classification tic-tac-toe 112294 runs submitted
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Visibility: Public
  • at2 basic mythbusting mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_29 study_30 study_41 study_7 study_70 study_73 study_98 study_99 under100k under1m
Issue #Downvotes for this reason By


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112294 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, build_cpu_time: 0.7048, build_memory: 888841387.6159, f_measure: 0.9895, kappa: 0.9769, kb_relative_information_score: 928.9412, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9896, predictive_accuracy: 0.9896, prior_entropy: 0.9312, recall: 0.9896, relative_absolute_error: 0.0309, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0961, root_relative_squared_error: 0.2019, scimark_benchmark: 920.7965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, build_cpu_time: 0.729, build_memory: 1007814195.8246, f_measure: 0.9895, kappa: 0.9769, kb_relative_information_score: 929.1262, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9896, predictive_accuracy: 0.9896, prior_entropy: 0.9312, recall: 0.9896, relative_absolute_error: 0.0307, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0949, root_relative_squared_error: 0.1994, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, build_cpu_time: 0.5425, build_memory: 1070820186.8476, f_measure: 0.9895, kappa: 0.9769, kb_relative_information_score: 929.0223, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9896, predictive_accuracy: 0.9896, prior_entropy: 0.9312, recall: 0.9896, relative_absolute_error: 0.0308, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0955, root_relative_squared_error: 0.2007, scimark_benchmark: 923.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, build_cpu_time: 0.295, build_memory: 774674183.0397, f_measure: 0.9906, kappa: 0.9792, kb_relative_information_score: 931.1554, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9907, predictive_accuracy: 0.9906, prior_entropy: 0.9312, recall: 0.9906, relative_absolute_error: 0.0288, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0905, root_relative_squared_error: 0.1901, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, build_cpu_time: 0.0489, build_memory: 251028217.8038, f_measure: 0.9696, kappa: 0.9327, kb_relative_information_score: 887.4833, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9697, predictive_accuracy: 0.9697, prior_entropy: 0.9312, recall: 0.9697, relative_absolute_error: 0.0725, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1539, root_relative_squared_error: 0.3235, scimark_benchmark: 902.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, build_cpu_time: 0.1041, build_memory: 1473163895.8246, f_measure: 0.9833, kappa: 0.9631, kb_relative_information_score: 922.1121, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9833, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.0352, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1168, root_relative_squared_error: 0.2455, scimark_benchmark: 890.3066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, build_cpu_time: 0.2067, build_memory: 1114432641.4697, f_measure: 0.9916, kappa: 0.9815, kb_relative_information_score: 940.249, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9917, predictive_accuracy: 0.9916, prior_entropy: 0.9312, recall: 0.9916, relative_absolute_error: 0.0173, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0846, root_relative_squared_error: 0.1778, scimark_benchmark: 936.1433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, build_cpu_time: 0.2702, build_memory: 408962070.714, f_measure: 0.9937, kappa: 0.9861, kb_relative_information_score: 943.0851, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9938, predictive_accuracy: 0.9937, prior_entropy: 0.9312, recall: 0.9937, relative_absolute_error: 0.0148, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0781, root_relative_squared_error: 0.1641, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, build_cpu_time: 0.5269, build_memory: 962644068.0919, f_measure: 0.9948, kappa: 0.9884, kb_relative_information_score: 945.7327, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9948, predictive_accuracy: 0.9948, prior_entropy: 0.9312, recall: 0.9948, relative_absolute_error: 0.0121, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0727, root_relative_squared_error: 0.1528, scimark_benchmark: 907.4175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, build_cpu_time: 0.0775, build_memory: 560077974.3633, f_measure: 0.9906, kappa: 0.9791, kb_relative_information_score: 630.6758, mean_absolute_error: 0.1865, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9907, predictive_accuracy: 0.9906, prior_entropy: 0.9312, recall: 0.9906, relative_absolute_error: 0.4116, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2264, root_relative_squared_error: 0.4757, scimark_benchmark: 945.5885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, build_cpu_time: 0.0692, build_memory: 89471159.19, f_measure: 0.9906, kappa: 0.9791, kb_relative_information_score: 630.6758, mean_absolute_error: 0.1865, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9907, predictive_accuracy: 0.9906, prior_entropy: 0.9312, recall: 0.9906, relative_absolute_error: 0.4116, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2264, root_relative_squared_error: 0.4757, scimark_benchmark: 923.3659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, build_cpu_time: 0.1093, build_memory: 67293160.0668, f_measure: 0.9906, kappa: 0.9791, kb_relative_information_score: 630.6758, mean_absolute_error: 0.1865, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9907, predictive_accuracy: 0.9906, prior_entropy: 0.9312, recall: 0.9906, relative_absolute_error: 0.4116, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2264, root_relative_squared_error: 0.4757, scimark_benchmark: 873.8637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9603, build_cpu_time: 0.0825, build_memory: 1254548286.9896, f_measure: 0.8609, kappa: 0.6857, kb_relative_information_score: 497.9545, mean_absolute_error: 0.234, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8767, predictive_accuracy: 0.8674, prior_entropy: 0.9312, recall: 0.8674, relative_absolute_error: 0.5165, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.307, root_relative_squared_error: 0.645, scimark_benchmark: 916.1588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, build_cpu_time: 0.1214, build_memory: 69630019.7411, f_measure: 0.9536, kappa: 0.8965, kb_relative_information_score: 683.1608, mean_absolute_error: 0.1502, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9549, predictive_accuracy: 0.9541, prior_entropy: 0.9312, recall: 0.9541, relative_absolute_error: 0.3316, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2212, root_relative_squared_error: 0.4648, scimark_benchmark: 943.4024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, build_cpu_time: 6.5417, build_memory: 931579477.9123, f_measure: 0.9916, kappa: 0.9815, kb_relative_information_score: 939.3252, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9918, predictive_accuracy: 0.9916, prior_entropy: 0.9312, recall: 0.9916, relative_absolute_error: 0.0184, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0906, root_relative_squared_error: 0.1903, scimark_benchmark: 942.9216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, build_cpu_time: 2.8077, build_memory: 802397008.9186, f_measure: 0.9895, kappa: 0.9769, kb_relative_information_score: 933.2494, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9896, predictive_accuracy: 0.9896, prior_entropy: 0.9312, recall: 0.9896, relative_absolute_error: 0.0248, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1007, root_relative_squared_error: 0.2116, scimark_benchmark: 939.4404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, build_cpu_time: 1.6172, build_memory: 672839934.714, f_measure: 0.9739, kappa: 0.9424, kb_relative_information_score: 897.724, mean_absolute_error: 0.0277, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9739, predictive_accuracy: 0.9739, prior_entropy: 0.9312, recall: 0.9739, relative_absolute_error: 0.0611, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1466, root_relative_squared_error: 0.308, scimark_benchmark: 943.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, build_cpu_time: 0.1012, build_memory: 604200994.096, f_measure: 0.9654, kappa: 0.9235, kb_relative_information_score: 827.923, mean_absolute_error: 0.068, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9655, predictive_accuracy: 0.9656, prior_entropy: 0.9312, recall: 0.9656, relative_absolute_error: 0.1501, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1639, root_relative_squared_error: 0.3445, scimark_benchmark: 906.4221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, build_cpu_time: 0.0072, build_memory: 683072789.5115, f_measure: 0.9111, kappa: 0.8004, kb_relative_information_score: 480.6185, mean_absolute_error: 0.2483, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.917, predictive_accuracy: 0.9134, prior_entropy: 0.9312, recall: 0.9134, relative_absolute_error: 0.5481, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3013, root_relative_squared_error: 0.6332, scimark_benchmark: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8425, build_cpu_time: 0.0011, build_memory: 512678297.0021, f_measure: 0.7361, kappa: 0.405, kb_relative_information_score: 259.5303, mean_absolute_error: 0.3376, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7384, predictive_accuracy: 0.7463, prior_entropy: 0.9312, recall: 0.7463, relative_absolute_error: 0.7452, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3981, root_relative_squared_error: 0.8366, scimark_benchmark: 945.8601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, build_cpu_time: 0.0437, build_memory: 441757794.3466, f_measure: 0.978, kappa: 0.9513, kb_relative_information_score: 893.1044, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9781, predictive_accuracy: 0.9781, prior_entropy: 0.9312, recall: 0.9781, relative_absolute_error: 0.0725, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1444, root_relative_squared_error: 0.3035, scimark_benchmark: 936.8525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, build_cpu_time: 0.0002, build_memory: 679285888.3591, f_measure: 0.9906, kappa: 0.9791, kb_relative_information_score: 630.6758, mean_absolute_error: 0.1865, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9907, predictive_accuracy: 0.9906, prior_entropy: 0.9312, recall: 0.9906, relative_absolute_error: 0.4116, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2264, root_relative_squared_error: 0.4757, scimark_benchmark: 844.3635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6645, build_cpu_time: 0.3815, build_memory: 1291529400.6347, f_measure: 0.7256, kappa: 0.3861, kb_relative_information_score: 435.5474, mean_absolute_error: 0.237, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.804, predictive_accuracy: 0.763, prior_entropy: 0.9312, recall: 0.763, relative_absolute_error: 0.5231, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4868, root_relative_squared_error: 1.0229, scimark_benchmark: 945.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, build_cpu_time: 0.2107, build_memory: 877065532.4509, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 920.8961, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716, scimark_benchmark: 937.4673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, build_cpu_time: 0.1254, build_memory: 156254374.3215, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 920.8961, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716, scimark_benchmark: 943.1817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, build_cpu_time: 0.042, build_memory: 671796960.5679, f_measure: 0.9822, kappa: 0.9604, kb_relative_information_score: 900.5583, mean_absolute_error: 0.0282, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9826, predictive_accuracy: 0.9823, prior_entropy: 0.9312, recall: 0.9823, relative_absolute_error: 0.0623, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1247, root_relative_squared_error: 0.262, scimark_benchmark: 945.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7476, build_cpu_time: 0.0005, build_memory: 204495036.4259, f_measure: 0.6864, kappa: 0.292, kb_relative_information_score: 180.9892, mean_absolute_error: 0.3682, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6867, predictive_accuracy: 0.7004, prior_entropy: 0.9312, recall: 0.7004, relative_absolute_error: 0.8129, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4294, root_relative_squared_error: 0.9023, scimark_benchmark: 946.5,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, build_cpu_time: 0.0305, build_memory: 1431228130.4969, f_measure: 0.9034, kappa: 0.7831, kb_relative_information_score: 519.7713, mean_absolute_error: 0.227, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9098, predictive_accuracy: 0.9061, prior_entropy: 0.9312, recall: 0.9061, relative_absolute_error: 0.501, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2927, root_relative_squared_error: 0.6152, scimark_benchmark: 930.1524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7993, build_cpu_time: 0.012, build_memory: 226238727.3737, f_measure: 0.7172, kappa: 0.3603, kb_relative_information_score: 256.2906, mean_absolute_error: 0.3332, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7267, predictive_accuracy: 0.7349, prior_entropy: 0.9312, recall: 0.7349, relative_absolute_error: 0.7356, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4108, root_relative_squared_error: 0.8633, scimark_benchmark: 934.4754,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9916, kappa: 0.9815, kb_relative_information_score: 0.8186, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9918, predictive_accuracy: 0.9916, prior_entropy: 0.931, recall: 0.9916, relative_absolute_error: 0.2261, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1438, root_relative_squared_error: 0.3021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, build_cpu_time: 924.0388, build_memory: 237895311.3069, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 900.8674, mean_absolute_error: 0.0283, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.0625, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1201, root_relative_squared_error: 0.2523, scimark_benchmark: 864.1117,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, build_cpu_time: 2.3296, build_memory: 2108586109.7119, f_measure: 0.9811, kappa: 0.9581, kb_relative_information_score: 911.4368, mean_absolute_error: 0.0214, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9815, predictive_accuracy: 0.9812, prior_entropy: 0.9312, recall: 0.9812, relative_absolute_error: 0.0473, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.133, root_relative_squared_error: 0.2795, scimark_benchmark: 942.9616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8063, build_cpu_time: 0.0072, build_memory: 1392653676.2171, f_measure: 0.7002, kappa: 0.34, kb_relative_information_score: 141.0769, mean_absolute_error: 0.3914, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7011, predictive_accuracy: 0.6994, prior_entropy: 0.9312, recall: 0.6994, relative_absolute_error: 0.864, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4379, root_relative_squared_error: 0.9203, scimark_benchmark: 942.6348,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, build_cpu_time: 24.7086, build_memory: 450521346.9896, f_measure: 0.9821, kappa: 0.9603, kb_relative_information_score: 693.1688, mean_absolute_error: 0.1527, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9827, predictive_accuracy: 0.9823, prior_entropy: 0.9312, recall: 0.9823, relative_absolute_error: 0.3371, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.196, root_relative_squared_error: 0.412, scimark_benchmark: 941.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, build_cpu_time: 58.9534, build_memory: 149729614.6472, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 688.7098, mean_absolute_error: 0.1554, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.343, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.198, root_relative_squared_error: 0.4161, scimark_benchmark: 1130.398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, build_cpu_time: 92.2487, build_memory: 705485571.2902, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 686.6782, mean_absolute_error: 0.1565, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.3454, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.199, root_relative_squared_error: 0.4181, scimark_benchmark: 944.3501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9916, kappa: 0.9815, kb_relative_information_score: 0.8186, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9918, predictive_accuracy: 0.9916, prior_entropy: 0.931, recall: 0.9916, relative_absolute_error: 0.2261, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1438, root_relative_squared_error: 0.3021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, build_cpu_time: 186.0055, build_memory: 1330480763.3069, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 687.6042, mean_absolute_error: 0.156, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.3444, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1985, root_relative_squared_error: 0.4171, scimark_benchmark: 946.4687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, build_cpu_time: 415.0361, build_memory: 170427923.3236, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 690.86, mean_absolute_error: 0.1544, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.3408, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.4135, scimark_benchmark: 897.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.8535, build_memory: 1116329162.3633, f_measure: 0.9979, kappa: 0.9954, kb_relative_information_score: 953.093, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9979, predictive_accuracy: 0.9979, prior_entropy: 0.9312, recall: 0.9979, relative_absolute_error: 0.0046, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0457, root_relative_squared_error: 0.096, scimark_benchmark: 945.8914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, build_cpu_time: 0.4487, build_memory: 743423075.6409, f_measure: 0.9948, kappa: 0.9884, kb_relative_information_score: 945.9283, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9948, predictive_accuracy: 0.9948, prior_entropy: 0.9312, recall: 0.9948, relative_absolute_error: 0.0121, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0682, root_relative_squared_error: 0.1434, scimark_benchmark: 935.2997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, build_cpu_time: 0.2768, build_memory: 589854595.9666, f_measure: 0.9822, kappa: 0.9605, kb_relative_information_score: 914.4263, mean_absolute_error: 0.0206, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9824, predictive_accuracy: 0.9823, prior_entropy: 0.9312, recall: 0.9823, relative_absolute_error: 0.0454, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1234, root_relative_squared_error: 0.2594, scimark_benchmark: 938.0657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, build_cpu_time: 0.1759, build_memory: 1564716661.5616, f_measure: 0.9623, kappa: 0.9167, kb_relative_information_score: 848.4473, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9623, predictive_accuracy: 0.9624, prior_entropy: 0.9312, recall: 0.9624, relative_absolute_error: 0.1165, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1819, root_relative_squared_error: 0.3823, scimark_benchmark: 931.9798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, build_cpu_time: 2.8487, build_memory: 396286970.6722, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 903.877, mean_absolute_error: 0.0271, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.0599, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1151, root_relative_squared_error: 0.2418, scimark_benchmark: 933.0771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, build_cpu_time: 5.6633, build_memory: 360687422.6639, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 904.236, mean_absolute_error: 0.0269, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.0595, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1148, root_relative_squared_error: 0.2413, scimark_benchmark: 944.8904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, build_cpu_time: 0.4096, build_memory: 905006307.9165, f_measure: 0.9479, kappa: 0.8834, kb_relative_information_score: 625.6499, mean_absolute_error: 0.1807, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9518, predictive_accuracy: 0.9489, prior_entropy: 0.9312, recall: 0.9489, relative_absolute_error: 0.3988, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2388, root_relative_squared_error: 0.5019, scimark_benchmark: 931.3946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, build_cpu_time: 0.2152, build_memory: 920092747.3737, f_measure: 0.9523, kappa: 0.8935, kb_relative_information_score: 627.2713, mean_absolute_error: 0.1795, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9549, predictive_accuracy: 0.953, prior_entropy: 0.9312, recall: 0.953, relative_absolute_error: 0.3962, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2386, root_relative_squared_error: 0.5014, scimark_benchmark: 946.9089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, build_cpu_time: 0.2341, build_memory: 799703983.0063, f_measure: 0.9523, kappa: 0.8935, kb_relative_information_score: 627.2713, mean_absolute_error: 0.1795, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9549, predictive_accuracy: 0.953, prior_entropy: 0.9312, recall: 0.953, relative_absolute_error: 0.3962, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2386, root_relative_squared_error: 0.5014, scimark_benchmark: 943.3716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, build_cpu_time: 0.1065, build_memory: 1122578623.666, f_measure: 0.9492, kappa: 0.8865, kb_relative_information_score: 626.0853, mean_absolute_error: 0.179, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9515, predictive_accuracy: 0.9499, prior_entropy: 0.9312, recall: 0.9499, relative_absolute_error: 0.3951, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.241, root_relative_squared_error: 0.5064, scimark_benchmark: 897.6751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, build_cpu_time: 0.104, build_memory: 34237174.3883, f_measure: 0.9481, kappa: 0.8842, kb_relative_information_score: 622.2847, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9503, predictive_accuracy: 0.9489, prior_entropy: 0.9312, recall: 0.9489, relative_absolute_error: 0.3976, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2446, root_relative_squared_error: 0.514, scimark_benchmark: 922.7998,

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

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs