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A PHP Error was encountered

Severity: Warning

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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
Line: 30
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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Function: loadpage

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

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Severity: Warning

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Filename: models/Log.php

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Backtrace:

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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

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

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 rabe_265

Supervised Classification on rabe_265

Task 3646 Supervised Classification rabe_265 523 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6746, build_cpu_time: 0.0065, build_memory: 1710989093.3333, f_measure: 0.6439, kappa: 0.2609, kb_relative_information_score: 12.1577, mean_absolute_error: 0.3677, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.6428, predictive_accuracy: 0.6471, prior_entropy: 0.9791, recall: 0.6471, relative_absolute_error: 0.7582, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.5358, root_relative_squared_error: 1.0887, scimark_benchmark: 934.8107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6746, build_cpu_time: 0.0051, build_memory: 1004318553.098, f_measure: 0.6439, kappa: 0.2609, kb_relative_information_score: 12.1577, mean_absolute_error: 0.3677, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.6428, predictive_accuracy: 0.6471, prior_entropy: 0.9791, recall: 0.6471, relative_absolute_error: 0.7582, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.5358, root_relative_squared_error: 1.0887, scimark_benchmark: 933.4498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6778, build_cpu_time: 0.0056, build_memory: 1051324233.8824, f_measure: 0.6439, kappa: 0.2609, kb_relative_information_score: 12.322, mean_absolute_error: 0.3661, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.6428, predictive_accuracy: 0.6471, prior_entropy: 0.9791, recall: 0.6471, relative_absolute_error: 0.7548, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.5351, root_relative_squared_error: 1.0872, scimark_benchmark: 906.6607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6262, build_cpu_time: 0.0024, build_memory: 900297803.7647, f_measure: 0.622, kappa: 0.2141, kb_relative_information_score: 8.5209, mean_absolute_error: 0.4023, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.6209, predictive_accuracy: 0.6275, prior_entropy: 0.9791, recall: 0.6275, relative_absolute_error: 0.8294, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.5511, root_relative_squared_error: 1.1198, scimark_benchmark: 930.5854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6317, build_cpu_time: 0.0042, build_memory: 1594531000, f_measure: 0.622, kappa: 0.2141, kb_relative_information_score: 9.2097, mean_absolute_error: 0.3955, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.6209, predictive_accuracy: 0.6275, prior_entropy: 0.9791, recall: 0.6275, relative_absolute_error: 0.8155, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.5478, root_relative_squared_error: 1.1131, scimark_benchmark: 890.3066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6333, build_cpu_time: 0.0038, build_memory: 99759658.5098, f_measure: 0.622, kappa: 0.2141, kb_relative_information_score: 9.2262, mean_absolute_error: 0.3953, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.6209, predictive_accuracy: 0.6275, prior_entropy: 0.9791, recall: 0.6275, relative_absolute_error: 0.8151, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.5478, root_relative_squared_error: 1.113, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6333, build_cpu_time: 0.0041, build_memory: 133415265.098, f_measure: 0.622, kappa: 0.2141, kb_relative_information_score: 9.2262, mean_absolute_error: 0.3953, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.6209, predictive_accuracy: 0.6275, prior_entropy: 0.9791, recall: 0.6275, relative_absolute_error: 0.8151, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.5478, root_relative_squared_error: 1.113, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6333, build_cpu_time: 0.0068, build_memory: 81031424.3137, f_measure: 0.622, kappa: 0.2141, kb_relative_information_score: 9.2262, mean_absolute_error: 0.3953, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.6209, predictive_accuracy: 0.6275, prior_entropy: 0.9791, recall: 0.6275, relative_absolute_error: 0.8151, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.5478, root_relative_squared_error: 1.113, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6286, build_cpu_time: 0.0109, build_memory: 283780275.9216, f_measure: 0.6618, kappa: 0.2968, kb_relative_information_score: 14.9254, mean_absolute_error: 0.3403, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.6616, predictive_accuracy: 0.6667, prior_entropy: 0.9791, recall: 0.6667, relative_absolute_error: 0.7017, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.5656, root_relative_squared_error: 1.1491, scimark_benchmark: 936.1433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6286, build_cpu_time: 0.011, build_memory: 351543851.2941, f_measure: 0.6618, kappa: 0.2968, kb_relative_information_score: 14.9254, mean_absolute_error: 0.3403, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.6616, predictive_accuracy: 0.6667, prior_entropy: 0.9791, recall: 0.6667, relative_absolute_error: 0.7017, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.5656, root_relative_squared_error: 1.1491, scimark_benchmark: 942.0692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6286, build_cpu_time: 0.0057, build_memory: 166012935.8431, f_measure: 0.6618, kappa: 0.2968, kb_relative_information_score: 14.9254, mean_absolute_error: 0.3403, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.6616, predictive_accuracy: 0.6667, prior_entropy: 0.9791, recall: 0.6667, relative_absolute_error: 0.7017, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.5656, root_relative_squared_error: 1.1491, scimark_benchmark: 873.8637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6286, build_cpu_time: 0.0044, build_memory: 229873151.5294, f_measure: 0.6618, kappa: 0.2968, kb_relative_information_score: 14.9254, mean_absolute_error: 0.3403, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.6616, predictive_accuracy: 0.6667, prior_entropy: 0.9791, recall: 0.6667, relative_absolute_error: 0.7017, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.5656, root_relative_squared_error: 1.1491, scimark_benchmark: 945.5885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7206, build_cpu_time: 0.0386, build_memory: 45654107.451, f_measure: 0.7377, kappa: 0.4543, kb_relative_information_score: 24.0097, mean_absolute_error: 0.2547, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.7458, predictive_accuracy: 0.7451, prior_entropy: 0.9791, recall: 0.7451, relative_absolute_error: 0.525, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.486, root_relative_squared_error: 0.9874, scimark_benchmark: 926.7725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6484, build_cpu_time: 0.1497, build_memory: 1465071974.4314, f_measure: 0.6471, kappa: 0.2714, kb_relative_information_score: 13.0312, mean_absolute_error: 0.3557, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.6471, predictive_accuracy: 0.6471, prior_entropy: 0.9791, recall: 0.6471, relative_absolute_error: 0.7334, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.5738, root_relative_squared_error: 1.1658, scimark_benchmark: 919.5937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6437, build_cpu_time: 0.0867, build_memory: 750046549.4902, f_measure: 0.6109, kappa: 0.213, kb_relative_information_score: 8.9341, mean_absolute_error: 0.3929, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.6214, predictive_accuracy: 0.6078, prior_entropy: 0.9791, recall: 0.6078, relative_absolute_error: 0.8101, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.6113, root_relative_squared_error: 1.2421, scimark_benchmark: 947.7459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6421, build_cpu_time: 0.116, build_memory: 35430968, f_measure: 0.6286, kappa: 0.2364, kb_relative_information_score: 11.412, mean_absolute_error: 0.372, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.6303, predictive_accuracy: 0.6275, prior_entropy: 0.9791, recall: 0.6275, relative_absolute_error: 0.767, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.5921, root_relative_squared_error: 1.2031, scimark_benchmark: 912.9459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6365, build_cpu_time: 0.0152, build_memory: 1178366314.0392, f_measure: 0.6439, kappa: 0.2609, kb_relative_information_score: 12.6865, mean_absolute_error: 0.3616, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.6428, predictive_accuracy: 0.6471, prior_entropy: 0.9791, recall: 0.6471, relative_absolute_error: 0.7455, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.5644, root_relative_squared_error: 1.1467, scimark_benchmark: 933.9589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.0702, build_memory: 1834274970.6667, f_measure: 0.4357, kb_relative_information_score: 7.1122, mean_absolute_error: 0.4118, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.346, predictive_accuracy: 0.5882, prior_entropy: 0.9791, recall: 0.5882, relative_absolute_error: 0.849, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.6417, root_relative_squared_error: 1.3038, scimark_benchmark: 933.1799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.65, build_cpu_time: 0.016, build_memory: 2095071553.8824, f_measure: 0.6286, kappa: 0.2364, kb_relative_information_score: 8.6573, mean_absolute_error: 0.3991, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.6303, predictive_accuracy: 0.6275, prior_entropy: 0.9791, recall: 0.6275, relative_absolute_error: 0.8229, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.5622, root_relative_squared_error: 1.1422, scimark_benchmark: 909.8271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5611, build_cpu_time: 0.0005, build_memory: 1288287509.8039, f_measure: 0.5612, kappa: 0.1387, kb_relative_information_score: 5.123, mean_absolute_error: 0.4422, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.6405, predictive_accuracy: 0.6275, prior_entropy: 0.9791, recall: 0.6275, relative_absolute_error: 0.9116, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4902, root_relative_squared_error: 0.996, scimark_benchmark: 947.8637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.669, build_cpu_time: 0.0136, build_memory: 380830937.4118, f_measure: 0.6918, kappa: 0.3609, kb_relative_information_score: 9.5182, mean_absolute_error: 0.4025, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.7075, predictive_accuracy: 0.7059, prior_entropy: 0.9791, recall: 0.7059, relative_absolute_error: 0.83, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4687, root_relative_squared_error: 0.9523, scimark_benchmark: 938.6628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6714, build_cpu_time: 0.0016, build_memory: 486126952, f_measure: 0.6744, kappa: 0.3234, kb_relative_information_score: 13.9542, mean_absolute_error: 0.359, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.683, predictive_accuracy: 0.6863, prior_entropy: 0.9791, recall: 0.6863, relative_absolute_error: 0.7402, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.478, root_relative_squared_error: 0.9712, scimark_benchmark: 940.9967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6286, build_cpu_time: 0.0003, build_memory: 471814607.0588, f_measure: 0.6618, kappa: 0.2968, kb_relative_information_score: 14.9254, mean_absolute_error: 0.3403, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.6616, predictive_accuracy: 0.6667, prior_entropy: 0.9791, recall: 0.6667, relative_absolute_error: 0.7017, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.5656, root_relative_squared_error: 1.1491, scimark_benchmark: 915.0385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.0048, build_memory: 262470651.7647, f_measure: 0.4357, kb_relative_information_score: 7.1122, mean_absolute_error: 0.4118, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.346, predictive_accuracy: 0.5882, prior_entropy: 0.9791, recall: 0.5882, relative_absolute_error: 0.849, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.6417, root_relative_squared_error: 1.3038, scimark_benchmark: 941.9254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5786, build_cpu_time: 0.0034, build_memory: 875538830.1176, f_measure: 0.5756, kappa: 0.1774, kb_relative_information_score: 13.3696, mean_absolute_error: 0.3529, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.7003, predictive_accuracy: 0.6471, prior_entropy: 0.9791, recall: 0.6471, relative_absolute_error: 0.7277, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.5941, root_relative_squared_error: 1.2071, scimark_benchmark: 943.1817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6214, build_cpu_time: 0.0033, build_memory: 363709860.2353, f_measure: 0.6395, kappa: 0.25, kb_relative_information_score: 13.3696, mean_absolute_error: 0.3529, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.6401, predictive_accuracy: 0.6471, prior_entropy: 0.9791, recall: 0.6471, relative_absolute_error: 0.7277, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.5941, root_relative_squared_error: 1.2071, scimark_benchmark: 948.6597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7143, build_cpu_time: 0.0011, build_memory: 121361393.8824, f_measure: 0.7016, kappa: 0.3796, kb_relative_information_score: 12.0451, mean_absolute_error: 0.3742, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.7023, predictive_accuracy: 0.7059, prior_entropy: 0.9791, recall: 0.7059, relative_absolute_error: 0.7716, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4728, root_relative_squared_error: 0.9607, scimark_benchmark: 926.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7167, build_cpu_time: 0.0002, build_memory: 624076183.5294, f_measure: 0.669, kappa: 0.3263, kb_relative_information_score: 11.3023, mean_absolute_error: 0.3811, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.6759, predictive_accuracy: 0.6667, prior_entropy: 0.9791, recall: 0.6667, relative_absolute_error: 0.7857, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4691, root_relative_squared_error: 0.9532, scimark_benchmark: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7167, build_cpu_time: 0.0004, build_memory: 368908964.7059, f_measure: 0.669, kappa: 0.3263, kb_relative_information_score: 11.3023, mean_absolute_error: 0.3811, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.6759, predictive_accuracy: 0.6667, prior_entropy: 0.9791, recall: 0.6667, relative_absolute_error: 0.7857, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4691, root_relative_squared_error: 0.9532, scimark_benchmark: 908.7121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5976, build_cpu_time: 0.0018, build_memory: 869569736, f_measure: 0.5114, kappa: -0.0047, kb_relative_information_score: 4.1183, mean_absolute_error: 0.442, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.5133, predictive_accuracy: 0.5098, prior_entropy: 0.9791, recall: 0.5098, relative_absolute_error: 0.9114, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.482, root_relative_squared_error: 0.9793, scimark_benchmark: 943.0033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5976, build_cpu_time: 0.0027, build_memory: 631029768, f_measure: 0.5114, kappa: -0.0047, kb_relative_information_score: 4.1183, mean_absolute_error: 0.442, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.5133, predictive_accuracy: 0.5098, prior_entropy: 0.9791, recall: 0.5098, relative_absolute_error: 0.9114, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.482, root_relative_squared_error: 0.9793, scimark_benchmark: 933.0871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7175, build_cpu_time: 0.003, build_memory: 157248230.4314, f_measure: 0.7016, kappa: 0.3796, kb_relative_information_score: 13.937, mean_absolute_error: 0.3574, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.7023, predictive_accuracy: 0.7059, prior_entropy: 0.9791, recall: 0.7059, relative_absolute_error: 0.7368, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.47, root_relative_squared_error: 0.955, scimark_benchmark: 940.7816,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7349, build_cpu_time: 7.6707, build_memory: 30734992.9412, f_measure: 0.7196, kappa: 0.4167, kb_relative_information_score: 14.9807, mean_absolute_error: 0.3524, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.7232, predictive_accuracy: 0.7255, prior_entropy: 0.9791, recall: 0.7255, relative_absolute_error: 0.7267, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4523, root_relative_squared_error: 0.919, scimark_benchmark: 941.6742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7111, build_cpu_time: 0.0224, build_memory: 632864848.9412, f_measure: 0.6597, kappa: 0.3026, kb_relative_information_score: 8.5415, mean_absolute_error: 0.4142, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.6965, predictive_accuracy: 0.6863, prior_entropy: 0.9791, recall: 0.6863, relative_absolute_error: 0.8539, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4552, root_relative_squared_error: 0.9249, scimark_benchmark: 929.2431,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6825, build_cpu_time: 0.0345, build_memory: 1983393728.6275, f_measure: 0.6863, kappa: 0.3524, kb_relative_information_score: 16.3317, mean_absolute_error: 0.3297, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.6863, predictive_accuracy: 0.6863, prior_entropy: 0.9791, recall: 0.6863, relative_absolute_error: 0.6798, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.5251, root_relative_squared_error: 1.0668, scimark_benchmark: 942.6348,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7095, build_cpu_time: 1.4475, build_memory: 125089268.0784, f_measure: 0.6618, kappa: 0.2968, kb_relative_information_score: 10.7155, mean_absolute_error: 0.3924, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.6616, predictive_accuracy: 0.6667, prior_entropy: 0.9791, recall: 0.6667, relative_absolute_error: 0.809, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4547, root_relative_squared_error: 0.9239, scimark_benchmark: 943.6957,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5381, build_cpu_time: 0.159, build_memory: 257546889.098, f_measure: 0.5686, kappa: 0.1095, kb_relative_information_score: 1.7929, mean_absolute_error: 0.4644, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.5686, predictive_accuracy: 0.5686, prior_entropy: 0.9791, recall: 0.5686, relative_absolute_error: 0.9574, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.6278, root_relative_squared_error: 1.2756, scimark_benchmark: 943.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5944, build_cpu_time: 0.0822, build_memory: 558073641.8824, f_measure: 0.6078, kappa: 0.1905, kb_relative_information_score: 5.7889, mean_absolute_error: 0.4273, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.6078, predictive_accuracy: 0.6078, prior_entropy: 0.9791, recall: 0.6078, relative_absolute_error: 0.8811, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.596, root_relative_squared_error: 1.2109, scimark_benchmark: 945.8425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5762, build_cpu_time: 0.0352, build_memory: 796125757.0196, f_measure: 0.5866, kappa: 0.1439, kb_relative_information_score: 3.9015, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.5854, predictive_accuracy: 0.5882, prior_entropy: 0.9791, recall: 0.5882, relative_absolute_error: 0.9164, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.6113, root_relative_squared_error: 1.242, scimark_benchmark: 941.9633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.627, build_cpu_time: 0.0787, build_memory: 83328298.3529, f_measure: 0.6286, kappa: 0.2364, kb_relative_information_score: 8.3161, mean_absolute_error: 0.4023, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.6303, predictive_accuracy: 0.6275, prior_entropy: 0.9791, recall: 0.6275, relative_absolute_error: 0.8295, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.5739, root_relative_squared_error: 1.166, scimark_benchmark: 947.0987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6579, build_cpu_time: 0.0096, build_memory: 759682224.1569, f_measure: 0.6471, kappa: 0.2714, kb_relative_information_score: 9.705, mean_absolute_error: 0.3908, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.6471, predictive_accuracy: 0.6471, prior_entropy: 0.9791, recall: 0.6471, relative_absolute_error: 0.8057, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.5593, root_relative_squared_error: 1.1365, scimark_benchmark: 931.9798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6762, build_cpu_time: 0.0491, build_memory: 542375357.4902, f_measure: 0.6918, kappa: 0.3609, kb_relative_information_score: 10.5957, mean_absolute_error: 0.3942, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.7075, predictive_accuracy: 0.7059, prior_entropy: 0.9791, recall: 0.7059, relative_absolute_error: 0.8128, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4655, root_relative_squared_error: 0.9458, scimark_benchmark: 931.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5452, f_measure: 0.5522, kappa: 0.0886, kb_relative_information_score: 2.9406, mean_absolute_error: 0.451, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.5591, predictive_accuracy: 0.549, prior_entropy: 0.9791, recall: 0.549, relative_absolute_error: 0.9298, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.6716, root_relative_squared_error: 1.3645,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6794, build_cpu_time: 0.2685, build_memory: 28147601.5686, f_measure: 0.6744, kappa: 0.3234, kb_relative_information_score: 10.4937, mean_absolute_error: 0.3957, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.683, predictive_accuracy: 0.6863, prior_entropy: 0.9791, recall: 0.6863, relative_absolute_error: 0.8159, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4628, root_relative_squared_error: 0.9404, scimark_benchmark: 945.3402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7032, build_cpu_time: 0.0773, build_memory: 63649896.1569, f_measure: 0.6973, kappa: 0.3704, kb_relative_information_score: 10.9952, mean_absolute_error: 0.3907, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.7033, predictive_accuracy: 0.7059, prior_entropy: 0.9791, recall: 0.7059, relative_absolute_error: 0.8055, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4631, root_relative_squared_error: 0.9409, scimark_benchmark: 932.6786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7032, build_cpu_time: 0.0269, build_memory: 1141950819.7647, f_measure: 0.6973, kappa: 0.3704, kb_relative_information_score: 11.5843, mean_absolute_error: 0.3844, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.7033, predictive_accuracy: 0.7059, prior_entropy: 0.9791, recall: 0.7059, relative_absolute_error: 0.7925, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4633, root_relative_squared_error: 0.9413, scimark_benchmark: 933.229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7032, build_cpu_time: 0.0285, build_memory: 1461451156.549, f_measure: 0.6973, kappa: 0.3704, kb_relative_information_score: 11.5843, mean_absolute_error: 0.3844, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.7033, predictive_accuracy: 0.7059, prior_entropy: 0.9791, recall: 0.7059, relative_absolute_error: 0.7925, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4633, root_relative_squared_error: 0.9413, scimark_benchmark: 908.1806,

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