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Severity: Warning

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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: loadpage

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

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Severity: Warning

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Backtrace:

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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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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 anneal

Supervised Classification on anneal

Task 3852 Supervised Classification anneal 519 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 under100k under1m
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519 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, build_cpu_time: 0.5365, build_memory: 944864751.4209, f_measure: 0.9955, kappa: 0.9877, kb_relative_information_score: 884.431, mean_absolute_error: 0.0045, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9955, predictive_accuracy: 0.9955, prior_entropy: 0.7932, recall: 0.9955, relative_absolute_error: 0.0124, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.0667, root_relative_squared_error: 0.1565, scimark_benchmark: 937.6343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, build_cpu_time: 0.3187, build_memory: 221313078.1559, f_measure: 0.99, kappa: 0.9723, kb_relative_information_score: 870.2044, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.99, predictive_accuracy: 0.99, prior_entropy: 0.7932, recall: 0.99, relative_absolute_error: 0.0266, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.0822, root_relative_squared_error: 0.193, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, build_cpu_time: 0.3309, build_memory: 1465166509.4254, f_measure: 0.9558, kappa: 0.8792, kb_relative_information_score: 766.3094, mean_absolute_error: 0.0473, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9565, predictive_accuracy: 0.9555, prior_entropy: 0.7932, recall: 0.9555, relative_absolute_error: 0.1301, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.199, root_relative_squared_error: 0.4671, scimark_benchmark: 917.4547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, build_cpu_time: 0.5404, build_memory: 578433379.216, f_measure: 0.9602, kappa: 0.891, kb_relative_information_score: 779.3819, mean_absolute_error: 0.042, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9606, predictive_accuracy: 0.9599, prior_entropy: 0.7932, recall: 0.9599, relative_absolute_error: 0.1155, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.1852, root_relative_squared_error: 0.4346, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, build_cpu_time: 0.9158, build_memory: 39346433.9955, f_measure: 0.9634, kappa: 0.8996, kb_relative_information_score: 792.5796, mean_absolute_error: 0.0375, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9636, predictive_accuracy: 0.9633, prior_entropy: 0.7932, recall: 0.9633, relative_absolute_error: 0.1032, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.1789, root_relative_squared_error: 0.42, scimark_benchmark: 930.5854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, build_cpu_time: 1.7158, build_memory: 1720722963.0379, f_measure: 0.9766, kappa: 0.9357, kb_relative_information_score: 826.9364, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9767, predictive_accuracy: 0.9766, prior_entropy: 0.7932, recall: 0.9766, relative_absolute_error: 0.0706, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.1485, root_relative_squared_error: 0.3484, scimark_benchmark: 931.9671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, build_cpu_time: 2.7872, build_memory: 1060955498.931, f_measure: 0.9811, kappa: 0.9479, kb_relative_information_score: 839.9766, mean_absolute_error: 0.0208, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9811, predictive_accuracy: 0.9811, prior_entropy: 0.7932, recall: 0.9811, relative_absolute_error: 0.0573, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.1303, root_relative_squared_error: 0.3058, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9093, build_cpu_time: 1.0015, build_memory: 242097741.8619, f_measure: 0.9471, kappa: 0.8502, kb_relative_information_score: 756.2186, mean_absolute_error: 0.0512, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9499, predictive_accuracy: 0.9488, prior_entropy: 0.7932, recall: 0.9488, relative_absolute_error: 0.1408, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2224, root_relative_squared_error: 0.5219, scimark_benchmark: 924.6733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9093, build_cpu_time: 1.0112, build_memory: 90315681.8886, f_measure: 0.9471, kappa: 0.8502, kb_relative_information_score: 756.2186, mean_absolute_error: 0.0512, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9499, predictive_accuracy: 0.9488, prior_entropy: 0.7932, recall: 0.9488, relative_absolute_error: 0.1408, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2224, root_relative_squared_error: 0.5219, scimark_benchmark: 923.3659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9093, build_cpu_time: 1.2772, build_memory: 241392773.8352, f_measure: 0.9471, kappa: 0.8502, kb_relative_information_score: 756.2186, mean_absolute_error: 0.0512, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9499, predictive_accuracy: 0.9488, prior_entropy: 0.7932, recall: 0.9488, relative_absolute_error: 0.1408, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2224, root_relative_squared_error: 0.5219, scimark_benchmark: 936.1433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, build_cpu_time: 11.4651, build_memory: 1260853826.5746, f_measure: 0.9456, kappa: 0.8504, kb_relative_information_score: 746.5079, mean_absolute_error: 0.0537, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9457, predictive_accuracy: 0.9454, prior_entropy: 0.7932, recall: 0.9454, relative_absolute_error: 0.1479, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2188, root_relative_squared_error: 0.5137, scimark_benchmark: 923.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, build_cpu_time: 7.8968, build_memory: 2265643632.294, f_measure: 0.9455, kappa: 0.8499, kb_relative_information_score: 744.3224, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9455, predictive_accuracy: 0.9454, prior_entropy: 0.7932, recall: 0.9454, relative_absolute_error: 0.1501, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2215, root_relative_squared_error: 0.5198, scimark_benchmark: 892.0716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, build_cpu_time: 4.2441, build_memory: 958537963.1715, f_measure: 0.9442, kappa: 0.8461, kb_relative_information_score: 738.5467, mean_absolute_error: 0.057, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9442, predictive_accuracy: 0.9443, prior_entropy: 0.7932, recall: 0.9443, relative_absolute_error: 0.157, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2255, root_relative_squared_error: 0.5293, scimark_benchmark: 948.6597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, build_cpu_time: 2.3454, build_memory: 1056195934.5746, f_measure: 0.9388, kappa: 0.8316, kb_relative_information_score: 726.009, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9389, predictive_accuracy: 0.9388, prior_entropy: 0.7932, recall: 0.9388, relative_absolute_error: 0.1696, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2326, root_relative_squared_error: 0.5459, scimark_benchmark: 943.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, build_cpu_time: 0.3049, build_memory: 147984289.0958, f_measure: 0.9955, kappa: 0.9877, kb_relative_information_score: 884.0762, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9955, predictive_accuracy: 0.9955, prior_entropy: 0.7932, recall: 0.9955, relative_absolute_error: 0.0129, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.0668, root_relative_squared_error: 0.1568, scimark_benchmark: 919.5281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, build_cpu_time: 0.1251, build_memory: 700592839.7595, f_measure: 0.9429, kappa: 0.8418, kb_relative_information_score: 688.498, mean_absolute_error: 0.0838, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9427, predictive_accuracy: 0.9432, prior_entropy: 0.7932, recall: 0.9432, relative_absolute_error: 0.2307, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.1964, root_relative_squared_error: 0.4611, scimark_benchmark: 920.2722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, build_cpu_time: 0.1093, build_memory: 314415997.4432, f_measure: 0.9429, kappa: 0.8418, kb_relative_information_score: 688.498, mean_absolute_error: 0.0838, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9427, predictive_accuracy: 0.9432, prior_entropy: 0.7932, recall: 0.9432, relative_absolute_error: 0.2307, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.1964, root_relative_squared_error: 0.4611, scimark_benchmark: 892.0716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, build_cpu_time: 0.559, build_memory: 574225965.0869, f_measure: 0.9497, kappa: 0.8608, kb_relative_information_score: 640.2323, mean_absolute_error: 0.113, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9496, predictive_accuracy: 0.9499, prior_entropy: 0.7932, recall: 0.9499, relative_absolute_error: 0.3111, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.1986, root_relative_squared_error: 0.466, scimark_benchmark: 912.1058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.957, build_cpu_time: 0.0817, build_memory: 747141239.412, f_measure: 0.9445, kappa: 0.8476, kb_relative_information_score: 702.668, mean_absolute_error: 0.0785, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9447, predictive_accuracy: 0.9443, prior_entropy: 0.7932, recall: 0.9443, relative_absolute_error: 0.216, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2153, root_relative_squared_error: 0.5053, scimark_benchmark: 875.7999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9093, build_cpu_time: 0.0002, build_memory: 122772049.3719, f_measure: 0.9471, kappa: 0.8502, kb_relative_information_score: 756.2186, mean_absolute_error: 0.0512, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9499, predictive_accuracy: 0.9488, prior_entropy: 0.7932, recall: 0.9488, relative_absolute_error: 0.1408, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2224, root_relative_squared_error: 0.5219, scimark_benchmark: 920.2722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.3133, build_memory: 200312743.314, f_measure: 0.6587, kb_relative_information_score: 233.357, mean_absolute_error: 0.2383, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 0.7932, recall: 0.7617, relative_absolute_error: 0.6559, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.4882, root_relative_squared_error: 1.1458, scimark_benchmark: 902.0906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8186, build_cpu_time: 0.1554, build_memory: 908026018.637, f_measure: 0.874, kappa: 0.6497, kb_relative_information_score: 549.6248, mean_absolute_error: 0.1247, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.8732, predictive_accuracy: 0.8753, prior_entropy: 0.7932, recall: 0.8753, relative_absolute_error: 0.3433, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.3532, root_relative_squared_error: 0.8289, scimark_benchmark: 942.9216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8498, build_cpu_time: 0.2033, build_memory: 878143219.2606, f_measure: 0.889, kappa: 0.6952, kb_relative_information_score: 586.8328, mean_absolute_error: 0.1114, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.8894, predictive_accuracy: 0.8886, prior_entropy: 0.7932, recall: 0.8886, relative_absolute_error: 0.3065, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.3337, root_relative_squared_error: 0.7833, scimark_benchmark: 940.4464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9185, build_cpu_time: 0.0912, build_memory: 513766955.2071, f_measure: 0.8795, kappa: 0.6618, kb_relative_information_score: 436.852, mean_absolute_error: 0.1828, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.8786, predictive_accuracy: 0.882, prior_entropy: 0.7932, recall: 0.882, relative_absolute_error: 0.5031, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.306, root_relative_squared_error: 0.7182, scimark_benchmark: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.871, build_cpu_time: 0.0018, build_memory: 283344257.3898, f_measure: 0.7734, kappa: 0.4353, kb_relative_information_score: 161.2341, mean_absolute_error: 0.2734, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.8087, predictive_accuracy: 0.7595, prior_entropy: 0.7932, recall: 0.7595, relative_absolute_error: 0.7525, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.4063, root_relative_squared_error: 0.9537, scimark_benchmark: 940.7816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, build_cpu_time: 0.1668, build_memory: 401312707.4922, f_measure: 0.9425, kappa: 0.8425, kb_relative_information_score: 613.9459, mean_absolute_error: 0.1194, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.943, predictive_accuracy: 0.9421, prior_entropy: 0.7932, recall: 0.9421, relative_absolute_error: 0.3287, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.5114, scimark_benchmark: 933.0871,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, build_cpu_time: 0.0363, build_memory: 152747308.7572, f_measure: 0.962, kappa: 0.895, kb_relative_information_score: 677.6003, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9619, predictive_accuracy: 0.9621, prior_entropy: 0.7932, recall: 0.9621, relative_absolute_error: 0.2732, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.1976, root_relative_squared_error: 0.4637, scimark_benchmark: 930.1524,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9495, build_cpu_time: 0.0359, build_memory: 592523567.8931, f_measure: 0.9217, kappa: 0.7832, kb_relative_information_score: 593.418, mean_absolute_error: 0.1208, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9214, predictive_accuracy: 0.922, prior_entropy: 0.7932, recall: 0.922, relative_absolute_error: 0.3324, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2529, root_relative_squared_error: 0.5936, scimark_benchmark: 938.2445,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9147, build_cpu_time: 0.5034, build_memory: 150910146.4321, f_measure: 0.8686, kappa: 0.63, kb_relative_information_score: 420.1171, mean_absolute_error: 0.1868, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.8677, predictive_accuracy: 0.8719, prior_entropy: 0.7932, recall: 0.8719, relative_absolute_error: 0.514, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.3138, root_relative_squared_error: 0.7366, scimark_benchmark: 933.3942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8663, build_cpu_time: 0.0202, build_memory: 200995915.9287, f_measure: 0.7879, kappa: 0.4505, kb_relative_information_score: 251.2462, mean_absolute_error: 0.237, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.8067, predictive_accuracy: 0.7784, prior_entropy: 0.7932, recall: 0.7784, relative_absolute_error: 0.6523, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.3906, root_relative_squared_error: 0.9168, scimark_benchmark: 942.5344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, build_cpu_time: 2364.5983, build_memory: 3027197334.4944, f_measure: 0.9878, kappa: 0.9663, kb_relative_information_score: 841.6556, mean_absolute_error: 0.0226, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9878, predictive_accuracy: 0.9878, prior_entropy: 0.7932, recall: 0.9878, relative_absolute_error: 0.0623, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.1055, root_relative_squared_error: 0.2475, scimark_benchmark: 944.3501,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9505, build_cpu_time: 0.0322, build_memory: 752694142.833, f_measure: 0.9078, kappa: 0.7466, kb_relative_information_score: 492.408, mean_absolute_error: 0.1661, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.908, predictive_accuracy: 0.9076, prior_entropy: 0.7932, recall: 0.9076, relative_absolute_error: 0.4571, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2695, root_relative_squared_error: 0.6326, scimark_benchmark: 943.4955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9501, build_cpu_time: 0.0162, build_memory: 970889860.2851, f_measure: 0.9088, kappa: 0.7493, kb_relative_information_score: 494.0332, mean_absolute_error: 0.1657, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.909, predictive_accuracy: 0.9087, prior_entropy: 0.7932, recall: 0.9087, relative_absolute_error: 0.456, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2691, root_relative_squared_error: 0.6315, scimark_benchmark: 938.4795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9522, build_cpu_time: 0.0113, build_memory: 283892970.4321, f_measure: 0.9099, kappa: 0.7519, kb_relative_information_score: 498.8402, mean_absolute_error: 0.1647, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9099, predictive_accuracy: 0.9098, prior_entropy: 0.7932, recall: 0.9098, relative_absolute_error: 0.4533, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.266, root_relative_squared_error: 0.6244, scimark_benchmark: 942.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9578, build_cpu_time: 5.7344, build_memory: 1473468048.5256, f_measure: 0.915, kappa: 0.7599, kb_relative_information_score: 658.5521, mean_absolute_error: 0.0868, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9162, predictive_accuracy: 0.9176, prior_entropy: 0.7932, recall: 0.9176, relative_absolute_error: 0.239, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2686, root_relative_squared_error: 0.6304, scimark_benchmark: 942.7079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, build_cpu_time: 0.0038, build_memory: 321494775.2784, f_measure: 0.9131, kappa: 0.7607, kb_relative_information_score: 507.5081, mean_absolute_error: 0.163, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9131, predictive_accuracy: 0.9131, prior_entropy: 0.7932, recall: 0.9131, relative_absolute_error: 0.4487, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2622, root_relative_squared_error: 0.6155, scimark_benchmark: 824.2652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9549, build_cpu_time: 0.0035, build_memory: 3375590629.2383, f_measure: 0.916, kappa: 0.7706, kb_relative_information_score: 508.4442, mean_absolute_error: 0.1626, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.917, predictive_accuracy: 0.9154, prior_entropy: 0.7932, recall: 0.9154, relative_absolute_error: 0.4476, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2612, root_relative_squared_error: 0.6131, scimark_benchmark: 944.9147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, build_cpu_time: 22.9622, build_memory: 1336824328.6592, f_measure: 0.9632, kappa: 0.8986, kb_relative_information_score: 736.3082, mean_absolute_error: 0.0627, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9632, predictive_accuracy: 0.9633, prior_entropy: 0.7932, recall: 0.9633, relative_absolute_error: 0.1724, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.1786, root_relative_squared_error: 0.4191, scimark_benchmark: 942.3742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, build_cpu_time: 48.7994, build_memory: 75103119.6258, f_measure: 0.9611, kappa: 0.8932, kb_relative_information_score: 742.0978, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9612, predictive_accuracy: 0.961, prior_entropy: 0.7932, recall: 0.961, relative_absolute_error: 0.1719, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.1731, root_relative_squared_error: 0.4062, scimark_benchmark: 944.6023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, build_cpu_time: 108.2164, build_memory: 109949893.9154, f_measure: 0.9622, kappa: 0.896, kb_relative_information_score: 744.8171, mean_absolute_error: 0.0619, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9623, predictive_accuracy: 0.9621, prior_entropy: 0.7932, recall: 0.9621, relative_absolute_error: 0.1702, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.1689, root_relative_squared_error: 0.3965, scimark_benchmark: 938.4414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, build_cpu_time: 178.3634, build_memory: 2779217283.9287, f_measure: 0.9632, kappa: 0.8983, kb_relative_information_score: 745.2123, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9631, predictive_accuracy: 0.9633, prior_entropy: 0.7932, recall: 0.9633, relative_absolute_error: 0.1695, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.1673, root_relative_squared_error: 0.3927, scimark_benchmark: 943.3898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, build_cpu_time: 400.251, build_memory: 537621369.6837, f_measure: 0.9632, kappa: 0.8986, kb_relative_information_score: 743.7232, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9632, predictive_accuracy: 0.9633, prior_entropy: 0.7932, recall: 0.9633, relative_absolute_error: 0.1714, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.1681, root_relative_squared_error: 0.3945, scimark_benchmark: 897.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, build_cpu_time: 4.3725, build_memory: 348994601.755, f_measure: 0.9944, kappa: 0.9847, kb_relative_information_score: 881.396, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9944, predictive_accuracy: 0.9944, prior_entropy: 0.7932, recall: 0.9944, relative_absolute_error: 0.0153, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.0746, root_relative_squared_error: 0.1751, scimark_benchmark: 890.4487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, build_cpu_time: 2.5423, build_memory: 1057562913.1849, f_measure: 0.9944, kappa: 0.9847, kb_relative_information_score: 881.396, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9944, predictive_accuracy: 0.9944, prior_entropy: 0.7932, recall: 0.9944, relative_absolute_error: 0.0153, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.0746, root_relative_squared_error: 0.1751, scimark_benchmark: 944.0892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, build_cpu_time: 1.3845, build_memory: 616533475.7951, f_measure: 0.9944, kappa: 0.9847, kb_relative_information_score: 881.2615, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9944, predictive_accuracy: 0.9944, prior_entropy: 0.7932, recall: 0.9944, relative_absolute_error: 0.0155, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.0747, root_relative_squared_error: 0.1752, scimark_benchmark: 939.9671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, build_cpu_time: 0.6958, build_memory: 58072055.1626, f_measure: 0.9955, kappa: 0.9877, kb_relative_information_score: 882.4947, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9955, predictive_accuracy: 0.9955, prior_entropy: 0.7932, recall: 0.9955, relative_absolute_error: 0.0142, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.0686, root_relative_squared_error: 0.161, scimark_benchmark: 942.9632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, build_cpu_time: 4.2991, build_memory: 960533604.7216, f_measure: 0.9583, kappa: 0.8841, kb_relative_information_score: 726.7113, mean_absolute_error: 0.0723, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9585, predictive_accuracy: 0.9588, prior_entropy: 0.7932, recall: 0.9588, relative_absolute_error: 0.1991, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.1777, root_relative_squared_error: 0.4171, scimark_benchmark: 940.0037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, build_cpu_time: 8.8231, build_memory: 259258592.3742, f_measure: 0.9584, kappa: 0.8845, kb_relative_information_score: 727.1598, mean_absolute_error: 0.0723, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9584, predictive_accuracy: 0.9588, prior_entropy: 0.7932, recall: 0.9588, relative_absolute_error: 0.199, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.1765, root_relative_squared_error: 0.4142, scimark_benchmark: 947.7095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, build_cpu_time: 2.6934, build_memory: 105596812.8998, f_measure: 0.9397, kappa: 0.8333, kb_relative_information_score: 614.3081, mean_absolute_error: 0.1221, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9395, predictive_accuracy: 0.9399, prior_entropy: 0.7932, recall: 0.9399, relative_absolute_error: 0.336, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2182, root_relative_squared_error: 0.512, scimark_benchmark: 947.1614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, build_cpu_time: 1.5134, build_memory: 485038873.4878, f_measure: 0.9397, kappa: 0.8333, kb_relative_information_score: 612.203, mean_absolute_error: 0.1221, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9395, predictive_accuracy: 0.9399, prior_entropy: 0.7932, recall: 0.9399, relative_absolute_error: 0.336, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2196, root_relative_squared_error: 0.5156, scimark_benchmark: 945.331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9407, kappa: 0.8361, kb_relative_information_score: 612.9566, mean_absolute_error: 0.1211, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9406, predictive_accuracy: 0.941, prior_entropy: 0.7932, recall: 0.941, relative_absolute_error: 0.3333, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2203, root_relative_squared_error: 0.517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, build_cpu_time: 0.3722, build_memory: 80928152.6414, f_measure: 0.9386, kappa: 0.8305, kb_relative_information_score: 609.529, mean_absolute_error: 0.1227, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9385, predictive_accuracy: 0.9388, prior_entropy: 0.7932, recall: 0.9388, relative_absolute_error: 0.3376, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.5264, scimark_benchmark: 934.0728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, build_cpu_time: 0.3864, build_memory: 487471455.1091, f_measure: 0.9386, kappa: 0.8305, kb_relative_information_score: 609.529, mean_absolute_error: 0.1227, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9385, predictive_accuracy: 0.9388, prior_entropy: 0.7932, recall: 0.9388, relative_absolute_error: 0.3376, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.5264, scimark_benchmark: 946.66,

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