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Severity: Warning

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

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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 SPECTF

Supervised Classification on SPECTF

Task 3057 Supervised Classification SPECTF 363 runs submitted
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363 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8441, build_cpu_time: 0.003, build_memory: 246019824, f_measure: 0.7847, kappa: 0.5393, kb_relative_information_score: 44.1727, mean_absolute_error: 0.2336, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.851, predictive_accuracy: 0.7739, prior_entropy: 0.8464, recall: 0.7739, relative_absolute_error: 0.5791, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.4762, root_relative_squared_error: 1.0523, scimark_benchmark: 947.7747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8441, build_cpu_time: 0.004, build_memory: 714125904, f_measure: 0.7847, kappa: 0.5393, kb_relative_information_score: 44.1727, mean_absolute_error: 0.2336, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.851, predictive_accuracy: 0.7739, prior_entropy: 0.8464, recall: 0.7739, relative_absolute_error: 0.5791, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.4762, root_relative_squared_error: 1.0523, scimark_benchmark: 938.2445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8441, build_cpu_time: 0.003, build_memory: 772681880, f_measure: 0.7847, kappa: 0.5393, kb_relative_information_score: 44.1727, mean_absolute_error: 0.2336, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.851, predictive_accuracy: 0.7739, prior_entropy: 0.8464, recall: 0.7739, relative_absolute_error: 0.5791, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.4762, root_relative_squared_error: 1.0523, scimark_benchmark: 946.9694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5244, build_cpu_time: 0.037, build_memory: 1309480936, f_measure: 0.1979, kappa: 0.0286, kb_relative_information_score: -97.2564, mean_absolute_error: 0.6783, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.7984, predictive_accuracy: 0.3217, prior_entropy: 0.8464, recall: 0.3217, relative_absolute_error: 1.681, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.8236, root_relative_squared_error: 1.8199, scimark_benchmark: 941.9153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8675, build_cpu_time: 0.438, build_memory: 524254928, f_measure: 0.8448, kappa: 0.6243, kb_relative_information_score: 61.6763, mean_absolute_error: 0.1791, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8467, predictive_accuracy: 0.8435, prior_entropy: 0.8464, recall: 0.8435, relative_absolute_error: 0.4439, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3688, root_relative_squared_error: 0.8149, scimark_benchmark: 894.2099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8686, build_cpu_time: 0.07, build_memory: 422239840, f_measure: 0.842, kappa: 0.6105, kb_relative_information_score: 59.5444, mean_absolute_error: 0.187, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8411, predictive_accuracy: 0.8435, prior_entropy: 0.8464, recall: 0.8435, relative_absolute_error: 0.4633, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3637, root_relative_squared_error: 0.8036, scimark_benchmark: 934.8065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.884, build_cpu_time: 0.197, build_memory: 244278264, f_measure: 0.8323, kappa: 0.585, kb_relative_information_score: 58.9469, mean_absolute_error: 0.193, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8312, predictive_accuracy: 0.8348, prior_entropy: 0.8464, recall: 0.8348, relative_absolute_error: 0.4784, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3681, root_relative_squared_error: 0.8135, scimark_benchmark: 921.6517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.898, build_cpu_time: 0.29, build_memory: 780119720, f_measure: 0.85, kappa: 0.6287, kb_relative_information_score: 59.395, mean_absolute_error: 0.1902, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8492, predictive_accuracy: 0.8522, prior_entropy: 0.8464, recall: 0.8522, relative_absolute_error: 0.4714, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3644, root_relative_squared_error: 0.8051, scimark_benchmark: 916.7338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.891, build_cpu_time: 0.515, build_memory: 1097811920, f_measure: 0.8205, kappa: 0.5506, kb_relative_information_score: 56.4129, mean_absolute_error: 0.1992, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8203, predictive_accuracy: 0.8261, prior_entropy: 0.8464, recall: 0.8261, relative_absolute_error: 0.4938, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3719, root_relative_squared_error: 0.8219, scimark_benchmark: 945.8947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8932, build_cpu_time: 1.35, build_memory: 718838112, f_measure: 0.8225, kappa: 0.559, kb_relative_information_score: 56.3384, mean_absolute_error: 0.1991, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8213, predictive_accuracy: 0.8261, prior_entropy: 0.8464, recall: 0.8261, relative_absolute_error: 0.4934, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.369, root_relative_squared_error: 0.8153, scimark_benchmark: 944.9156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, build_cpu_time: 0.653, build_memory: 705494032, f_measure: 0.8244, kappa: 0.5672, kb_relative_information_score: 45.8496, mean_absolute_error: 0.254, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8233, predictive_accuracy: 0.8261, prior_entropy: 0.8464, recall: 0.8261, relative_absolute_error: 0.6294, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3301, root_relative_squared_error: 0.7293, scimark_benchmark: 943.2048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9276, build_cpu_time: 0.186, build_memory: 1422514904, f_measure: 0.834, kappa: 0.5926, kb_relative_information_score: 48.3313, mean_absolute_error: 0.2467, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8334, predictive_accuracy: 0.8348, prior_entropy: 0.8464, recall: 0.8348, relative_absolute_error: 0.6114, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3262, root_relative_squared_error: 0.7208, scimark_benchmark: 947.4258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9087, build_cpu_time: 0.015, build_memory: 915770120, f_measure: 0.8712, kappa: 0.6897, kb_relative_information_score: 53.121, mean_absolute_error: 0.2174, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8741, predictive_accuracy: 0.8696, prior_entropy: 0.8464, recall: 0.8696, relative_absolute_error: 0.5388, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3198, root_relative_squared_error: 0.7066, scimark_benchmark: 947.4258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9087, build_cpu_time: 0.017, build_memory: 568259760, f_measure: 0.8712, kappa: 0.6897, kb_relative_information_score: 53.121, mean_absolute_error: 0.2174, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8741, predictive_accuracy: 0.8696, prior_entropy: 0.8464, recall: 0.8696, relative_absolute_error: 0.5388, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3198, root_relative_squared_error: 0.7066, scimark_benchmark: 943.4766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9309, build_cpu_time: 0.06, build_memory: 3053731464, f_measure: 0.8609, kappa: 0.66, kb_relative_information_score: 55.9231, mean_absolute_error: 0.2207, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8609, predictive_accuracy: 0.8609, prior_entropy: 0.8464, recall: 0.8609, relative_absolute_error: 0.5469, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3018, root_relative_squared_error: 0.667, scimark_benchmark: 943.4766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9377, build_cpu_time: 0.127, build_memory: 128863680, f_measure: 0.869, kappa: 0.6784, kb_relative_information_score: 55.4182, mean_absolute_error: 0.2211, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8685, predictive_accuracy: 0.8696, prior_entropy: 0.8464, recall: 0.8696, relative_absolute_error: 0.5479, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3013, root_relative_squared_error: 0.6659, scimark_benchmark: 946.5543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9387, build_cpu_time: 0.247, build_memory: 3257166120, f_measure: 0.8701, kappa: 0.6841, kb_relative_information_score: 55.5085, mean_absolute_error: 0.2217, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8709, predictive_accuracy: 0.8696, prior_entropy: 0.8464, recall: 0.8696, relative_absolute_error: 0.5494, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3032, root_relative_squared_error: 0.67, scimark_benchmark: 917.2088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9468, build_cpu_time: 5.23, build_memory: 1345835648, f_measure: 0.8783, kappa: 0.7025, kb_relative_information_score: 51.5552, mean_absolute_error: 0.2389, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8783, predictive_accuracy: 0.8783, prior_entropy: 0.8464, recall: 0.8783, relative_absolute_error: 0.5921, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3086, root_relative_squared_error: 0.682, scimark_benchmark: 937.7852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9431, build_cpu_time: 1.544, build_memory: 1030033208, f_measure: 0.8701, kappa: 0.6841, kb_relative_information_score: 51.2558, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8709, predictive_accuracy: 0.8696, prior_entropy: 0.8464, recall: 0.8696, relative_absolute_error: 0.5947, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3105, root_relative_squared_error: 0.6862, scimark_benchmark: 943.5292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9431, build_cpu_time: 1.5, build_memory: 860546768, f_measure: 0.8701, kappa: 0.6841, kb_relative_information_score: 51.2558, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8709, predictive_accuracy: 0.8696, prior_entropy: 0.8464, recall: 0.8696, relative_absolute_error: 0.5947, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3105, root_relative_squared_error: 0.6862, scimark_benchmark: 892.8726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9431, build_cpu_time: 1.437, build_memory: 994871976, f_measure: 0.8701, kappa: 0.6841, kb_relative_information_score: 51.2558, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8709, predictive_accuracy: 0.8696, prior_entropy: 0.8464, recall: 0.8696, relative_absolute_error: 0.5947, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3105, root_relative_squared_error: 0.6862, scimark_benchmark: 920.7382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9398, build_cpu_time: 0.943, build_memory: 3333969464, f_measure: 0.8528, kappa: 0.642, kb_relative_information_score: 50.7758, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8536, predictive_accuracy: 0.8522, prior_entropy: 0.8464, recall: 0.8522, relative_absolute_error: 0.597, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3113, root_relative_squared_error: 0.6878, scimark_benchmark: 947.2295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8472, build_cpu_time: 0.017, build_memory: 630667080, f_measure: 0.7355, kappa: 0.3219, kb_relative_information_score: 33.7872, mean_absolute_error: 0.2809, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.7519, predictive_accuracy: 0.7652, prior_entropy: 0.8464, recall: 0.7652, relative_absolute_error: 0.6961, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3853, root_relative_squared_error: 0.8514, scimark_benchmark: 942.4281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9172, build_cpu_time: 0.094, build_memory: 663788368, f_measure: 0.7159, kappa: 0.2774, kb_relative_information_score: 36.8315, mean_absolute_error: 0.2824, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8283, predictive_accuracy: 0.7739, prior_entropy: 0.8464, recall: 0.7739, relative_absolute_error: 0.6999, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3735, root_relative_squared_error: 0.8253, scimark_benchmark: 785.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9172, build_cpu_time: 0.066, build_memory: 428826632, f_measure: 0.7159, kappa: 0.2774, kb_relative_information_score: 36.8315, mean_absolute_error: 0.2824, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8283, predictive_accuracy: 0.7739, prior_entropy: 0.8464, recall: 0.7739, relative_absolute_error: 0.6999, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3735, root_relative_squared_error: 0.8253, scimark_benchmark: 932.7461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9601, build_cpu_time: 1.003, build_memory: 1360710152, f_measure: 0.8448, kappa: 0.6243, kb_relative_information_score: 70.0347, mean_absolute_error: 0.1641, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8467, predictive_accuracy: 0.8435, prior_entropy: 0.8464, recall: 0.8435, relative_absolute_error: 0.4066, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.279, root_relative_squared_error: 0.6166, scimark_benchmark: 941.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, build_cpu_time: 0.12, build_memory: 287840744, f_measure: 0.6846, kappa: 0.203, kb_relative_information_score: 33.1778, mean_absolute_error: 0.2909, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8185, predictive_accuracy: 0.7565, prior_entropy: 0.8464, recall: 0.7565, relative_absolute_error: 0.7209, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3828, root_relative_squared_error: 0.8459, scimark_benchmark: 947.2295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, build_cpu_time: 0.113, build_memory: 758329792, f_measure: 0.6846, kappa: 0.203, kb_relative_information_score: 33.1778, mean_absolute_error: 0.2909, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8185, predictive_accuracy: 0.7565, prior_entropy: 0.8464, recall: 0.7565, relative_absolute_error: 0.7209, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3828, root_relative_squared_error: 0.8459, scimark_benchmark: 941.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9486, build_cpu_time: 0.431, build_memory: 335090248, f_measure: 0.8609, kappa: 0.66, kb_relative_information_score: 64.9887, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8609, predictive_accuracy: 0.8609, prior_entropy: 0.8464, recall: 0.8609, relative_absolute_error: 0.4414, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.2947, root_relative_squared_error: 0.6512, scimark_benchmark: 910.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9486, build_cpu_time: 0.543, build_memory: 460638224, f_measure: 0.8609, kappa: 0.66, kb_relative_information_score: 64.9887, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8609, predictive_accuracy: 0.8609, prior_entropy: 0.8464, recall: 0.8609, relative_absolute_error: 0.4414, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.2947, root_relative_squared_error: 0.6512, scimark_benchmark: 932.7461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.884, build_cpu_time: 318.228, build_memory: 184098896, f_measure: 0.8793, kappa: 0.7078, kb_relative_information_score: 61.8609, mean_absolute_error: 0.1945, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8809, predictive_accuracy: 0.8783, prior_entropy: 0.8464, recall: 0.8783, relative_absolute_error: 0.4822, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3422, root_relative_squared_error: 0.7561, scimark_benchmark: 931.2177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8858, build_cpu_time: 737.151, build_memory: 197577880, f_measure: 0.8793, kappa: 0.7078, kb_relative_information_score: 62.3141, mean_absolute_error: 0.1931, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8809, predictive_accuracy: 0.8783, prior_entropy: 0.8464, recall: 0.8783, relative_absolute_error: 0.4785, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3393, root_relative_squared_error: 0.7498, scimark_benchmark: 925.3551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, build_cpu_time: 0.717, build_memory: 662801824, f_measure: 0.8551, kappa: 0.6544, kb_relative_information_score: 66.631, mean_absolute_error: 0.1662, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8614, predictive_accuracy: 0.8522, prior_entropy: 0.8464, recall: 0.8522, relative_absolute_error: 0.412, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3706, root_relative_squared_error: 0.819, scimark_benchmark: 939.0518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8662, build_cpu_time: 0.032, build_memory: 1466813848, f_measure: 0.5936, kb_relative_information_score: 20.3925, mean_absolute_error: 0.3257, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.5084, predictive_accuracy: 0.713, prior_entropy: 0.8464, recall: 0.713, relative_absolute_error: 0.8073, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3919, root_relative_squared_error: 0.866, scimark_benchmark: 940.8364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, build_cpu_time: 0.015, build_memory: 541925320, f_measure: 0.5936, kb_relative_information_score: 21.8881, mean_absolute_error: 0.3231, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.5084, predictive_accuracy: 0.713, prior_entropy: 0.8464, recall: 0.713, relative_absolute_error: 0.8009, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3891, root_relative_squared_error: 0.8599, scimark_benchmark: 1024.2267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8829, build_cpu_time: 0.009, build_memory: 1351383776, f_measure: 0.5936, kb_relative_information_score: 22.9678, mean_absolute_error: 0.3218, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.5084, predictive_accuracy: 0.713, prior_entropy: 0.8464, recall: 0.713, relative_absolute_error: 0.7976, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3861, root_relative_squared_error: 0.8533, scimark_benchmark: 941.4198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.903, build_cpu_time: 0.912, build_memory: 1697483888, f_measure: 0.8528, kappa: 0.642, kb_relative_information_score: 69.8899, mean_absolute_error: 0.1514, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8536, predictive_accuracy: 0.8522, prior_entropy: 0.8464, recall: 0.8522, relative_absolute_error: 0.3753, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3827, root_relative_squared_error: 0.8456, scimark_benchmark: 941.0301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.881, build_cpu_time: 0.005, build_memory: 22657160, f_measure: 0.5936, kb_relative_information_score: 23.0599, mean_absolute_error: 0.3224, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.5084, predictive_accuracy: 0.713, prior_entropy: 0.8464, recall: 0.713, relative_absolute_error: 0.799, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3881, root_relative_squared_error: 0.8576, scimark_benchmark: 942.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8644, build_cpu_time: 0.005, build_memory: 1808080928, f_measure: 0.5936, kb_relative_information_score: 19.8916, mean_absolute_error: 0.3276, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.5084, predictive_accuracy: 0.713, prior_entropy: 0.8464, recall: 0.713, relative_absolute_error: 0.8118, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3952, root_relative_squared_error: 0.8733, scimark_benchmark: 942.6348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8644, build_cpu_time: 0.002, build_memory: 733415312, f_measure: 0.5936, kb_relative_information_score: 19.8916, mean_absolute_error: 0.3276, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.5084, predictive_accuracy: 0.713, prior_entropy: 0.8464, recall: 0.713, relative_absolute_error: 0.8118, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3952, root_relative_squared_error: 0.8733, scimark_benchmark: 944.9147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9072, build_cpu_time: 3.494, build_memory: 2911380584, f_measure: 0.8712, kappa: 0.6897, kb_relative_information_score: 62.5876, mean_absolute_error: 0.1859, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8741, predictive_accuracy: 0.8696, prior_entropy: 0.8464, recall: 0.8696, relative_absolute_error: 0.4606, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.333, root_relative_squared_error: 0.7358, scimark_benchmark: 944.9147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9313, build_cpu_time: 6.25, build_memory: 1428206608, f_measure: 0.8712, kappa: 0.6897, kb_relative_information_score: 64.9946, mean_absolute_error: 0.1799, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8741, predictive_accuracy: 0.8696, prior_entropy: 0.8464, recall: 0.8696, relative_absolute_error: 0.4458, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3099, root_relative_squared_error: 0.6849, scimark_benchmark: 944.3501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9372, build_cpu_time: 13.759, build_memory: 15104976, f_measure: 0.8712, kappa: 0.6897, kb_relative_information_score: 62.832, mean_absolute_error: 0.1876, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8741, predictive_accuracy: 0.8696, prior_entropy: 0.8464, recall: 0.8696, relative_absolute_error: 0.465, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.31, root_relative_squared_error: 0.685, scimark_benchmark: 940.8364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.939, build_cpu_time: 30.589, build_memory: 133906984, f_measure: 0.8551, kappa: 0.6544, kb_relative_information_score: 62.1671, mean_absolute_error: 0.1903, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8614, predictive_accuracy: 0.8522, prior_entropy: 0.8464, recall: 0.8522, relative_absolute_error: 0.4717, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3073, root_relative_squared_error: 0.679, scimark_benchmark: 938.4414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9401, build_cpu_time: 59.119, build_memory: 211912048, f_measure: 0.8712, kappa: 0.6897, kb_relative_information_score: 62.1144, mean_absolute_error: 0.1907, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8741, predictive_accuracy: 0.8696, prior_entropy: 0.8464, recall: 0.8696, relative_absolute_error: 0.4726, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3068, root_relative_squared_error: 0.6779, scimark_benchmark: 935.2997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8411, build_cpu_time: 4.176, build_memory: 1109567992, f_measure: 0.854, kappa: 0.6483, kb_relative_information_score: 70.8847, mean_absolute_error: 0.1472, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8571, predictive_accuracy: 0.8522, prior_entropy: 0.8464, recall: 0.8522, relative_absolute_error: 0.3648, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3829, root_relative_squared_error: 0.846, scimark_benchmark: 928.3063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8411, build_cpu_time: 3.598, build_memory: 1002357712, f_measure: 0.854, kappa: 0.6483, kb_relative_information_score: 70.8847, mean_absolute_error: 0.1472, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8571, predictive_accuracy: 0.8522, prior_entropy: 0.8464, recall: 0.8522, relative_absolute_error: 0.3648, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3829, root_relative_squared_error: 0.846, scimark_benchmark: 944.5683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8522, build_cpu_time: 2.024, build_memory: 1386235248, f_measure: 0.854, kappa: 0.6483, kb_relative_information_score: 70.7382, mean_absolute_error: 0.1479, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8571, predictive_accuracy: 0.8522, prior_entropy: 0.8464, recall: 0.8522, relative_absolute_error: 0.3666, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3843, root_relative_squared_error: 0.8492, scimark_benchmark: 944.7154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8509, build_cpu_time: 0.933, build_memory: 64335504, f_measure: 0.8712, kappa: 0.6897, kb_relative_information_score: 76.1808, mean_absolute_error: 0.1308, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8741, predictive_accuracy: 0.8696, prior_entropy: 0.8464, recall: 0.8696, relative_absolute_error: 0.3243, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.7981, scimark_benchmark: 938.2803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8714, build_cpu_time: 0.431, build_memory: 1467407360, f_measure: 0.8609, kappa: 0.66, kb_relative_information_score: 73.2451, mean_absolute_error: 0.1407, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8609, predictive_accuracy: 0.8609, prior_entropy: 0.8464, recall: 0.8609, relative_absolute_error: 0.3488, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3683, root_relative_squared_error: 0.8138, scimark_benchmark: 945.6653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8714, build_cpu_time: 0.455, build_memory: 1330186304, f_measure: 0.8609, kappa: 0.66, kb_relative_information_score: 73.2451, mean_absolute_error: 0.1407, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8609, predictive_accuracy: 0.8609, prior_entropy: 0.8464, recall: 0.8609, relative_absolute_error: 0.3488, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3683, root_relative_squared_error: 0.8138, scimark_benchmark: 944.2618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8714, build_cpu_time: 0.681, build_memory: 1072015184, f_measure: 0.8609, kappa: 0.66, kb_relative_information_score: 73.2451, mean_absolute_error: 0.1407, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8609, predictive_accuracy: 0.8609, prior_entropy: 0.8464, recall: 0.8609, relative_absolute_error: 0.3488, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3683, root_relative_squared_error: 0.8138, scimark_benchmark: 920.6195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8888, build_cpu_time: 0.436, build_memory: 1712141296, f_measure: 0.9048, kappa: 0.7684, kb_relative_information_score: 46.2263, mean_absolute_error: 0.2469, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.9053, predictive_accuracy: 0.9043, prior_entropy: 0.8464, recall: 0.9043, relative_absolute_error: 0.612, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3366, root_relative_squared_error: 0.7439, scimark_benchmark: 942.0315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9375, build_cpu_time: 3.615, build_memory: 1750003448, f_measure: 0.8853, kappa: 0.716, kb_relative_information_score: 52.3353, mean_absolute_error: 0.2352, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8851, predictive_accuracy: 0.887, prior_entropy: 0.8464, recall: 0.887, relative_absolute_error: 0.5828, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3105, root_relative_squared_error: 0.6861, scimark_benchmark: 943.2198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9294, build_cpu_time: 1.49, build_memory: 3015239584, f_measure: 0.8793, kappa: 0.7078, kb_relative_information_score: 56.5807, mean_absolute_error: 0.2155, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8809, predictive_accuracy: 0.8783, prior_entropy: 0.8464, recall: 0.8783, relative_absolute_error: 0.5341, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.315, root_relative_squared_error: 0.6961, scimark_benchmark: 944.9917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, build_cpu_time: 0.648, build_memory: 228050184, f_measure: 0.8875, kappa: 0.7262, kb_relative_information_score: 56.1312, mean_absolute_error: 0.2166, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8881, predictive_accuracy: 0.887, prior_entropy: 0.8464, recall: 0.887, relative_absolute_error: 0.5369, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3155, root_relative_squared_error: 0.6973, scimark_benchmark: 932.4785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, build_cpu_time: 0.989, build_memory: 347437664, f_measure: 0.8875, kappa: 0.7262, kb_relative_information_score: 56.1312, mean_absolute_error: 0.2166, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8881, predictive_accuracy: 0.887, prior_entropy: 0.8464, recall: 0.887, relative_absolute_error: 0.5369, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3155, root_relative_squared_error: 0.6973, scimark_benchmark: 931.1918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, build_cpu_time: 0.787, build_memory: 1393143264, f_measure: 0.8875, kappa: 0.7262, kb_relative_information_score: 56.1312, mean_absolute_error: 0.2166, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8881, predictive_accuracy: 0.887, prior_entropy: 0.8464, recall: 0.887, relative_absolute_error: 0.5369, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3155, root_relative_squared_error: 0.6973, scimark_benchmark: 929.3075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9198, build_cpu_time: 0.154, build_memory: 623075344, f_measure: 0.8793, kappa: 0.7078, kb_relative_information_score: 56.7895, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8809, predictive_accuracy: 0.8783, prior_entropy: 0.8464, recall: 0.8783, relative_absolute_error: 0.5323, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3185, root_relative_squared_error: 0.7038, scimark_benchmark: 909.6284,

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