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A PHP Error was encountered

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

A PHP Error was encountered

Severity: Warning

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Filename: models/Log.php

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Backtrace:

File: /var/www/openml/openml_OS/models/Log.php
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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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Function: query

File: /var/www/openml/openml_OS/helpers/cms_helper.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 mfeat-pixel

Supervised Classification on mfeat-pixel

Task 20 Supervised Classification mfeat-pixel 12158 runs submitted
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  • at2 basic OpenML100 study_1 study_107 study_123 study_14 study_41 study_7 study_70 under100k under1m
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12158 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, build_cpu_time: 3.7533, build_memory: 356893470.4, f_measure: 0.9623, kappa: 0.9583, kb_relative_information_score: 1921.3932, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9632, predictive_accuracy: 0.9625, prior_entropy: 3.3219, recall: 0.9625, relative_absolute_error: 0.0457, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0841, root_relative_squared_error: 0.2802, scimark_benchmark: 924.6733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, build_cpu_time: 4.0286, build_memory: 317900857.6, f_measure: 0.9623, kappa: 0.9583, kb_relative_information_score: 1921.3932, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9632, predictive_accuracy: 0.9625, prior_entropy: 3.3219, recall: 0.9625, relative_absolute_error: 0.0457, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0841, root_relative_squared_error: 0.2802, scimark_benchmark: 937.5625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, build_cpu_time: 4.2607, build_memory: 279298482.4, f_measure: 0.9623, kappa: 0.9583, kb_relative_information_score: 1921.3932, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9632, predictive_accuracy: 0.9625, prior_entropy: 3.3219, recall: 0.9625, relative_absolute_error: 0.0457, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0841, root_relative_squared_error: 0.2802, scimark_benchmark: 908.2898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7121, build_cpu_time: 0.0377, build_memory: 68594040, f_measure: 0.0766, kappa: 0.1033, kb_relative_information_score: 440.4985, mean_absolute_error: 0.167, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0614, predictive_accuracy: 0.193, prior_entropy: 3.3219, recall: 0.193, relative_absolute_error: 0.9275, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2892, root_relative_squared_error: 0.9639, scimark_benchmark: 944.4197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7121, build_cpu_time: 0.0458, build_memory: 592918001.6, f_measure: 0.0766, kappa: 0.1033, kb_relative_information_score: 440.4985, mean_absolute_error: 0.167, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0614, predictive_accuracy: 0.193, prior_entropy: 3.3219, recall: 0.193, relative_absolute_error: 0.9275, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2892, root_relative_squared_error: 0.9639, scimark_benchmark: 873.8637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, build_cpu_time: 301.9622, build_memory: 2499689888.8, f_measure: 0.9504, kappa: 0.945, kb_relative_information_score: 1903.1122, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.951, predictive_accuracy: 0.9505, prior_entropy: 3.3219, recall: 0.9505, relative_absolute_error: 0.0556, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0912, root_relative_squared_error: 0.3038, scimark_benchmark: 909.8271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, build_cpu_time: 1.0397, build_memory: 1465798780.8, f_measure: 0.974, kappa: 0.9711, kb_relative_information_score: 1947.4941, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9741, predictive_accuracy: 0.974, prior_entropy: 3.3219, recall: 0.974, relative_absolute_error: 0.0287, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0699, root_relative_squared_error: 0.233, scimark_benchmark: 941.6964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, build_cpu_time: 0.951, build_memory: 254453684.8, f_measure: 0.9639, kappa: 0.96, kb_relative_information_score: 1524.5644, mean_absolute_error: 0.077, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9643, predictive_accuracy: 0.964, prior_entropy: 3.3219, recall: 0.964, relative_absolute_error: 0.4277, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1482, root_relative_squared_error: 0.494, scimark_benchmark: 945.4776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9504, build_cpu_time: 2.2723, build_memory: 311667958.4, f_measure: 0.8765, kappa: 0.8622, kb_relative_information_score: 1722.0892, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8785, predictive_accuracy: 0.876, prior_entropy: 3.3219, recall: 0.876, relative_absolute_error: 0.1639, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1514, root_relative_squared_error: 0.5047, scimark_benchmark: 938.6628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, build_cpu_time: 0.001, build_memory: 801614545.6, f_measure: 0.9623, kappa: 0.9583, kb_relative_information_score: 1921.3932, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9632, predictive_accuracy: 0.9625, prior_entropy: 3.3219, recall: 0.9625, relative_absolute_error: 0.0457, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0841, root_relative_squared_error: 0.2802, scimark_benchmark: 943.1817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, build_cpu_time: 19.6932, build_memory: 743319805.6, f_measure: 0.979, kappa: 0.9767, kb_relative_information_score: 596.2955, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9791, predictive_accuracy: 0.979, prior_entropy: 3.3219, recall: 0.979, relative_absolute_error: 0.8902, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2726, root_relative_squared_error: 0.9086, scimark_benchmark: 936.7073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, build_cpu_time: 6.6113, build_memory: 684004930.4, f_measure: 0.977, kappa: 0.9744, kb_relative_information_score: 595.3417, mean_absolute_error: 0.1603, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9773, predictive_accuracy: 0.977, prior_entropy: 3.3219, recall: 0.977, relative_absolute_error: 0.8904, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2725, root_relative_squared_error: 0.9082, scimark_benchmark: 939.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, build_cpu_time: 0.0175, build_memory: 65728367.2, f_measure: 0.9356, kappa: 0.9283, kb_relative_information_score: 1867.5028, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9365, predictive_accuracy: 0.9355, prior_entropy: 3.3219, recall: 0.9355, relative_absolute_error: 0.0716, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.111, root_relative_squared_error: 0.3699, scimark_benchmark: 946.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7121, build_cpu_time: 0.0353, build_memory: 124602652.8, f_measure: 0.0766, kappa: 0.1033, kb_relative_information_score: 440.4985, mean_absolute_error: 0.167, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0614, predictive_accuracy: 0.193, prior_entropy: 3.3219, recall: 0.193, relative_absolute_error: 0.9275, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2892, root_relative_squared_error: 0.9639, scimark_benchmark: 930.1524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5733, build_cpu_time: 0.0513, build_memory: 698526000.8, f_measure: 0.1438, kappa: 0.1467, kb_relative_information_score: 393.7165, mean_absolute_error: 0.1536, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.1266, predictive_accuracy: 0.232, prior_entropy: 3.3219, recall: 0.232, relative_absolute_error: 0.8533, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3919, root_relative_squared_error: 1.3064, scimark_benchmark: 946.5615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5733, build_cpu_time: 0.0535, build_memory: 873373058.4, f_measure: 0.1438, kappa: 0.1467, kb_relative_information_score: 393.7165, mean_absolute_error: 0.1536, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.1266, predictive_accuracy: 0.232, prior_entropy: 3.3219, recall: 0.232, relative_absolute_error: 0.8533, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3919, root_relative_squared_error: 1.3064, scimark_benchmark: 943.4022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5733, build_cpu_time: 0.0514, build_memory: 883220417.6, f_measure: 0.1438, kappa: 0.1467, kb_relative_information_score: 393.7165, mean_absolute_error: 0.1536, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.1266, predictive_accuracy: 0.232, prior_entropy: 3.3219, recall: 0.232, relative_absolute_error: 0.8533, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3919, root_relative_squared_error: 1.3064, scimark_benchmark: 947.5974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, build_cpu_time: 125.6681, build_memory: 271991086.4, f_measure: 0.9756, kappa: 0.9728, kb_relative_information_score: 594.3318, mean_absolute_error: 0.1603, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9759, predictive_accuracy: 0.9755, prior_entropy: 3.3219, recall: 0.9755, relative_absolute_error: 0.8906, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2723, root_relative_squared_error: 0.9076, scimark_benchmark: 931.4894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, build_cpu_time: 65.1074, build_memory: 138153280.8, f_measure: 0.9756, kappa: 0.9728, kb_relative_information_score: 594.3318, mean_absolute_error: 0.1603, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9759, predictive_accuracy: 0.9755, prior_entropy: 3.3219, recall: 0.9755, relative_absolute_error: 0.8906, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2723, root_relative_squared_error: 0.9076, scimark_benchmark: 926.0021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, build_cpu_time: 65.2399, build_memory: 213585979.2, f_measure: 0.9756, kappa: 0.9728, kb_relative_information_score: 594.3318, mean_absolute_error: 0.1603, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9759, predictive_accuracy: 0.9755, prior_entropy: 3.3219, recall: 0.9755, relative_absolute_error: 0.8906, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2723, root_relative_squared_error: 0.9076, scimark_benchmark: 921.6517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, build_cpu_time: 64.6426, build_memory: 370187630.4, f_measure: 0.9756, kappa: 0.9728, kb_relative_information_score: 594.3318, mean_absolute_error: 0.1603, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9759, predictive_accuracy: 0.9755, prior_entropy: 3.3219, recall: 0.9755, relative_absolute_error: 0.8906, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2723, root_relative_squared_error: 0.9076, scimark_benchmark: 894.2099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, build_cpu_time: 129.2593, build_memory: 200580948, f_measure: 0.978, kappa: 0.9756, kb_relative_information_score: 594.633, mean_absolute_error: 0.1603, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9782, predictive_accuracy: 0.978, prior_entropy: 3.3219, recall: 0.978, relative_absolute_error: 0.8906, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2722, root_relative_squared_error: 0.9074, scimark_benchmark: 919.3675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, build_cpu_time: 256.5891, build_memory: 298731307.2, f_measure: 0.9795, kappa: 0.9772, kb_relative_information_score: 594.6142, mean_absolute_error: 0.1603, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9797, predictive_accuracy: 0.9795, prior_entropy: 3.3219, recall: 0.9795, relative_absolute_error: 0.8906, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2722, root_relative_squared_error: 0.9074, scimark_benchmark: 938.2568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, build_cpu_time: 563.3624, build_memory: 1119581210.4, f_measure: 0.978, kappa: 0.9756, kb_relative_information_score: 594.5677, mean_absolute_error: 0.1603, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9782, predictive_accuracy: 0.978, prior_entropy: 3.3219, recall: 0.978, relative_absolute_error: 0.8906, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2722, root_relative_squared_error: 0.9074, scimark_benchmark: 949.2096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, build_cpu_time: 1050.3693, build_memory: 1402971453.6, f_measure: 0.978, kappa: 0.9756, kb_relative_information_score: 594.5681, mean_absolute_error: 0.1603, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9782, predictive_accuracy: 0.978, prior_entropy: 3.3219, recall: 0.978, relative_absolute_error: 0.8906, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2722, root_relative_squared_error: 0.9074, scimark_benchmark: 944.2422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, build_cpu_time: 29.4664, build_memory: 187015894.4, f_measure: 0.8695, kappa: 0.855, kb_relative_information_score: 1551.9309, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8703, predictive_accuracy: 0.8695, prior_entropy: 3.3219, recall: 0.8695, relative_absolute_error: 0.352, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1524, root_relative_squared_error: 0.5079, scimark_benchmark: 943.2048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, build_cpu_time: 11.5026, build_memory: 203179848.8, f_measure: 0.8652, kappa: 0.85, kb_relative_information_score: 1548.7837, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8666, predictive_accuracy: 0.865, prior_entropy: 3.3219, recall: 0.865, relative_absolute_error: 0.353, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1538, root_relative_squared_error: 0.5126, scimark_benchmark: 946.5993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, build_cpu_time: 12.1042, build_memory: 1274226816, f_measure: 0.8652, kappa: 0.85, kb_relative_information_score: 1548.7837, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8666, predictive_accuracy: 0.865, prior_entropy: 3.3219, recall: 0.865, relative_absolute_error: 0.353, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1538, root_relative_squared_error: 0.5126, scimark_benchmark: 943.4766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, build_cpu_time: 5.7774, build_memory: 1878081388.8, f_measure: 0.8588, kappa: 0.8428, kb_relative_information_score: 1548.2044, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8601, predictive_accuracy: 0.8585, prior_entropy: 3.3219, recall: 0.8585, relative_absolute_error: 0.3518, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1544, root_relative_squared_error: 0.5148, scimark_benchmark: 919.2952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, build_cpu_time: 2.8895, build_memory: 989692126.4, f_measure: 0.8576, kappa: 0.8417, kb_relative_information_score: 1545.6938, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.859, predictive_accuracy: 0.8575, prior_entropy: 3.3219, recall: 0.8575, relative_absolute_error: 0.352, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.156, root_relative_squared_error: 0.52, scimark_benchmark: 943.4766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, build_cpu_time: 2.8683, build_memory: 1498673740.8, f_measure: 0.8576, kappa: 0.8417, kb_relative_information_score: 1545.6938, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.859, predictive_accuracy: 0.8575, prior_entropy: 3.3219, recall: 0.8575, relative_absolute_error: 0.352, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.156, root_relative_squared_error: 0.52, scimark_benchmark: 919.2952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, build_cpu_time: 0.1909, build_memory: 3224773870.4, f_measure: 0.9422, kappa: 0.9361, kb_relative_information_score: 1520.423, mean_absolute_error: 0.0761, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9425, predictive_accuracy: 0.9425, prior_entropy: 3.3219, recall: 0.9425, relative_absolute_error: 0.4229, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1531, root_relative_squared_error: 0.5103, scimark_benchmark: 949.2096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, build_cpu_time: 0.3512, build_memory: 162791476.8, f_measure: 0.9609, kappa: 0.9567, kb_relative_information_score: 1531.1222, mean_absolute_error: 0.0757, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9611, predictive_accuracy: 0.961, prior_entropy: 3.3219, recall: 0.961, relative_absolute_error: 0.4206, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1484, root_relative_squared_error: 0.4947, scimark_benchmark: 946.5543,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9735, kappa: 0.9706, kb_relative_information_score: 1942.2918, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9735, predictive_accuracy: 0.9735, prior_entropy: 3.3219, recall: 0.9735, relative_absolute_error: 0.0391, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.066, root_relative_squared_error: 0.2201, scimark_benchmark: 831.5681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.909, f_measure: 0.7831, kappa: 0.7578, kb_relative_information_score: 1550.8316, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7855, predictive_accuracy: 0.782, prior_entropy: 3.3219, recall: 0.782, relative_absolute_error: 0.269, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.19, root_relative_squared_error: 0.6333, scimark_benchmark: 1913.8221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0182, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.01, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1, scimark_benchmark: 1913.8221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.8316, kappa: 0.8128, kb_relative_information_score: 1550.9351, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8351, predictive_accuracy: 0.8315, prior_entropy: 3.3219, recall: 0.8315, relative_absolute_error: 0.3514, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1591, root_relative_squared_error: 0.5303, scimark_benchmark: 948.0746,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9623, kappa: 0.9583, kb_relative_information_score: 1921.3932, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9632, predictive_accuracy: 0.9625, prior_entropy: 3.3219, recall: 0.9625, relative_absolute_error: 0.0457, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0841, root_relative_squared_error: 0.2802, scimark_benchmark: 944.7286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, f_measure: 0.8467, kappa: 0.8294, kb_relative_information_score: 1611.203, mean_absolute_error: 0.0512, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8474, predictive_accuracy: 0.8465, prior_entropy: 3.3219, recall: 0.8465, relative_absolute_error: 0.2842, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1505, root_relative_squared_error: 0.5017, scimark_benchmark: 871.8745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.977, kappa: 0.9744, kb_relative_information_score: 595.3417, mean_absolute_error: 0.1603, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9773, predictive_accuracy: 0.977, prior_entropy: 3.3219, recall: 0.977, relative_absolute_error: 0.8904, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2725, root_relative_squared_error: 0.9082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9211, kappa: 0.9122, kb_relative_information_score: 1838.4883, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.922, predictive_accuracy: 0.921, prior_entropy: 3.3219, recall: 0.921, relative_absolute_error: 0.0885, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1222, root_relative_squared_error: 0.4073, scimark_benchmark: 879.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.967, kappa: 0.9633, kb_relative_information_score: 1932.3877, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9672, predictive_accuracy: 0.967, prior_entropy: 3.3219, recall: 0.967, relative_absolute_error: 0.037, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0789, root_relative_squared_error: 0.2631, scimark_benchmark: 940.5823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.8917, kappa: 0.88, kb_relative_information_score: 1571.6841, mean_absolute_error: 0.0653, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8933, predictive_accuracy: 0.892, prior_entropy: 3.3219, recall: 0.892, relative_absolute_error: 0.3626, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.147, root_relative_squared_error: 0.4899, scimark_benchmark: 925.3358,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.945, kappa: 0.9389, kb_relative_information_score: 1851.4051, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9452, predictive_accuracy: 0.945, prior_entropy: 3.3219, recall: 0.945, relative_absolute_error: 0.1112, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0957, root_relative_squared_error: 0.3191, scimark_benchmark: 922.7294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9655, kappa: 0.9617, kb_relative_information_score: 1930.0488, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9657, predictive_accuracy: 0.9655, prior_entropy: 3.3219, recall: 0.9655, relative_absolute_error: 0.0401, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0788, root_relative_squared_error: 0.2628, scimark_benchmark: 926.6764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.8587, kappa: 0.8433, kb_relative_information_score: 1685.5206, mean_absolute_error: 0.033, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8598, predictive_accuracy: 0.859, prior_entropy: 3.3219, recall: 0.859, relative_absolute_error: 0.1833, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1634, root_relative_squared_error: 0.5447, scimark_benchmark: 927.9187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9701, kappa: 0.9667, kb_relative_information_score: 1938.2804, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9703, predictive_accuracy: 0.97, prior_entropy: 3.3219, recall: 0.97, relative_absolute_error: 0.033, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0762, root_relative_squared_error: 0.2541, scimark_benchmark: 945.6434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9623, kappa: 0.9583, kb_relative_information_score: 1921.3932, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9632, predictive_accuracy: 0.9625, prior_entropy: 3.3219, recall: 0.9625, relative_absolute_error: 0.0457, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0841, root_relative_squared_error: 0.2802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9374, kappa: 0.9306, kb_relative_information_score: 1719.6138, mean_absolute_error: 0.0412, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9378, predictive_accuracy: 0.9375, prior_entropy: 3.3219, recall: 0.9375, relative_absolute_error: 0.2287, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1264, root_relative_squared_error: 0.4215, scimark_benchmark: 935.7399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.9367, kappa: 0.93, kb_relative_information_score: 1870.3843, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9379, predictive_accuracy: 0.937, prior_entropy: 3.3219, recall: 0.937, relative_absolute_error: 0.0693, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1108, root_relative_squared_error: 0.3692, scimark_benchmark: 926.6498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9692, f_measure: 0.9306, kappa: 0.9233, kb_relative_information_score: 1855.8845, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.932, predictive_accuracy: 0.931, prior_entropy: 3.3219, recall: 0.931, relative_absolute_error: 0.077, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.117, root_relative_squared_error: 0.39, scimark_benchmark: 939.7007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9089, kappa: 0.8989, kb_relative_information_score: 1816.5585, mean_absolute_error: 0.0215, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9094, predictive_accuracy: 0.909, prior_entropy: 3.3219, recall: 0.909, relative_absolute_error: 0.1195, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1193, root_relative_squared_error: 0.3978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9635, kappa: 0.9594, kb_relative_information_score: 1490.6861, mean_absolute_error: 0.0813, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9637, predictive_accuracy: 0.9635, prior_entropy: 3.3219, recall: 0.9635, relative_absolute_error: 0.4515, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1544, root_relative_squared_error: 0.5147, scimark_benchmark: 940.7711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9634, kappa: 0.9594, kb_relative_information_score: 1530.6114, mean_absolute_error: 0.076, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9636, predictive_accuracy: 0.9635, prior_entropy: 3.3219, recall: 0.9635, relative_absolute_error: 0.4223, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1471, root_relative_squared_error: 0.4904, scimark_benchmark: 942.9386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.97, kappa: 0.9667, kb_relative_information_score: 1931.1356, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9701, predictive_accuracy: 0.97, prior_entropy: 3.3219, recall: 0.97, relative_absolute_error: 0.0461, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0737, root_relative_squared_error: 0.2456, scimark_benchmark: 944.2379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.962, kappa: 0.9578, kb_relative_information_score: 1774.0376, mean_absolute_error: 0.0377, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9624, predictive_accuracy: 0.962, prior_entropy: 3.3219, recall: 0.962, relative_absolute_error: 0.2095, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0984, root_relative_squared_error: 0.3279, scimark_benchmark: 944.8767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9505, kappa: 0.945, kb_relative_information_score: 1769.0218, mean_absolute_error: 0.0366, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9512, predictive_accuracy: 0.9505, prior_entropy: 3.3219, recall: 0.9505, relative_absolute_error: 0.2035, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1082, root_relative_squared_error: 0.3607, scimark_benchmark: 945.1364,

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

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Download this task directly in your environment and automatically upload your results

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

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