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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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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
Line: 85
Function: loadpage

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

OpenML
Task
Supervised Classification on sonar

Supervised Classification on sonar

Task 269 Supervised Classification sonar 362 runs submitted
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362 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7903, f_measure: 0.7496, kappa: 0.4948, kb_relative_information_score: 30.0117, mean_absolute_error: 0.2805, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.7496, predictive_accuracy: 0.75, prior_entropy: 0.9968, recall: 0.75, relative_absolute_error: 0.5642, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4477, root_relative_squared_error: 0.8986, scimark_benchmark: 869.6028, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6927, f_measure: 0.6918, kappa: 0.3824, kb_relative_information_score: 25.5877, mean_absolute_error: 0.3088, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.6951, predictive_accuracy: 0.6912, prior_entropy: 0.9968, recall: 0.6912, relative_absolute_error: 0.6213, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5557, root_relative_squared_error: 1.1155, scimark_benchmark: 916.5955, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6691, f_measure: 0.6679, kappa: 0.3521, kb_relative_information_score: 25.5877, mean_absolute_error: 0.3088, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.7262, predictive_accuracy: 0.6912, prior_entropy: 0.9968, recall: 0.6912, relative_absolute_error: 0.6213, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5557, root_relative_squared_error: 1.1155, scimark_benchmark: 912.5006, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7171, f_measure: 0.7202, kappa: 0.4353, kb_relative_information_score: 29.6135, mean_absolute_error: 0.2794, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.72, predictive_accuracy: 0.7206, prior_entropy: 0.9968, recall: 0.7206, relative_absolute_error: 0.5621, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5286, root_relative_squared_error: 1.0611, scimark_benchmark: 939.449, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7524, f_measure: 0.6621, kappa: 0.32, kb_relative_information_score: 21.0717, mean_absolute_error: 0.3459, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.6628, predictive_accuracy: 0.6618, prior_entropy: 0.9968, recall: 0.6618, relative_absolute_error: 0.6959, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4825, root_relative_squared_error: 0.9686, scimark_benchmark: 912.5006, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7062, f_measure: 0.7064, kappa: 0.4102, kb_relative_information_score: 27.6006, mean_absolute_error: 0.2941, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.7081, predictive_accuracy: 0.7059, prior_entropy: 0.9968, recall: 0.7059, relative_absolute_error: 0.5917, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5423, root_relative_squared_error: 1.0886, scimark_benchmark: 1386.5717, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.871, f_measure: 0.7626, kappa: 0.5207, kb_relative_information_score: 32.7794, mean_absolute_error: 0.2653, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.766, predictive_accuracy: 0.7647, prior_entropy: 0.9968, recall: 0.7647, relative_absolute_error: 0.5338, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3874, root_relative_squared_error: 0.7776, scimark_benchmark: 1363.434, usercpu_time_millis: 260, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8082, f_measure: 0.6753, kappa: 0.3444, kb_relative_information_score: 24.9648, mean_absolute_error: 0.3125, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.6754, predictive_accuracy: 0.6765, prior_entropy: 0.9968, recall: 0.6765, relative_absolute_error: 0.6286, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5055, root_relative_squared_error: 1.0148, scimark_benchmark: 1307.4861, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7232, f_measure: 0.6183, kappa: 0.2373, kb_relative_information_score: 18.8948, mean_absolute_error: 0.3565, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.6232, predictive_accuracy: 0.6176, prior_entropy: 0.9968, recall: 0.6176, relative_absolute_error: 0.7172, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.544, root_relative_squared_error: 1.0921, scimark_benchmark: 1309.3173, usercpu_time_millis: 1200, usercpu_time_millis_training: 1200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8492, f_measure: 0.7033, kappa: 0.4009, kb_relative_information_score: 22.7386, mean_absolute_error: 0.3447, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.7057, predictive_accuracy: 0.7059, prior_entropy: 0.9968, recall: 0.7059, relative_absolute_error: 0.6935, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.7956, scimark_benchmark: 1333.5799, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7119, f_measure: 0.7172, kappa: 0.4293, kb_relative_information_score: 29.6135, mean_absolute_error: 0.2794, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.7218, predictive_accuracy: 0.7206, prior_entropy: 0.9968, recall: 0.7206, relative_absolute_error: 0.5621, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5286, root_relative_squared_error: 1.0611, scimark_benchmark: 1313.5726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8152, f_measure: 0.7781, kappa: 0.5518, kb_relative_information_score: 32.1349, mean_absolute_error: 0.2716, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.7799, predictive_accuracy: 0.7794, prior_entropy: 0.9968, recall: 0.7794, relative_absolute_error: 0.5464, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4181, root_relative_squared_error: 0.8392, scimark_benchmark: 1066.7184, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7833, f_measure: 0.7202, kappa: 0.4353, kb_relative_information_score: 27.9296, mean_absolute_error: 0.2955, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.72, predictive_accuracy: 0.7206, prior_entropy: 0.9968, recall: 0.7206, relative_absolute_error: 0.5946, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.478, root_relative_squared_error: 0.9596, scimark_benchmark: 1290.1085, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5963, f_measure: 0.5923, kappa: 0.2, kb_relative_information_score: 15.5233, mean_absolute_error: 0.3824, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.6257, predictive_accuracy: 0.6176, prior_entropy: 0.9968, recall: 0.6176, relative_absolute_error: 0.7692, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6183, root_relative_squared_error: 1.2412, scimark_benchmark: 1372.2145, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2855, kb_relative_information_score: -6.6184, mean_absolute_error: 0.5441, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.2078, predictive_accuracy: 0.4559, prior_entropy: 0.9968, recall: 0.4559, relative_absolute_error: 1.0947, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.7376, root_relative_squared_error: 1.4807, scimark_benchmark: 1368.9272, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6853, f_measure: 0.733, kappa: 0.4608, kb_relative_information_score: 30.7685, mean_absolute_error: 0.2732, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.7358, predictive_accuracy: 0.7353, prior_entropy: 0.9968, recall: 0.7353, relative_absolute_error: 0.5497, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5103, root_relative_squared_error: 1.0244, scimark_benchmark: 1466.6185, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6874, f_measure: 0.6907, kappa: 0.3759, kb_relative_information_score: 25.5877, mean_absolute_error: 0.3088, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.6905, predictive_accuracy: 0.6912, prior_entropy: 0.9968, recall: 0.6912, relative_absolute_error: 0.6213, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5557, root_relative_squared_error: 1.1155, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.701, f_measure: 0.7049, kappa: 0.404, kb_relative_information_score: 27.6006, mean_absolute_error: 0.2941, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.7051, predictive_accuracy: 0.7059, prior_entropy: 0.9968, recall: 0.7059, relative_absolute_error: 0.5917, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5423, root_relative_squared_error: 1.0886, scimark_benchmark: 1028.5889, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3835, kb_relative_information_score: -0.0956, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.2961, predictive_accuracy: 0.5441, prior_entropy: 0.9968, recall: 0.5441, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4983, root_relative_squared_error: 1.0003, scimark_benchmark: 1054.3694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7493, f_measure: 0.7059, kappa: 0.4071, kb_relative_information_score: 27.6603, mean_absolute_error: 0.2936, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.7059, predictive_accuracy: 0.7059, prior_entropy: 0.9968, recall: 0.7059, relative_absolute_error: 0.5907, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5156, root_relative_squared_error: 1.035, scimark_benchmark: 1028.5889, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.752, build_cpu_time: 1.34, build_memory: 328427752, f_measure: 0.7344, kappa: 0.4636, kb_relative_information_score: 31.2293, mean_absolute_error: 0.2685, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.7347, predictive_accuracy: 0.7353, prior_entropy: 0.9968, recall: 0.7353, relative_absolute_error: 0.5401, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.515, root_relative_squared_error: 1.0337, scimark_benchmark: 943.0278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7507, build_cpu_time: 0.588, build_memory: 827956896, f_measure: 0.7344, kappa: 0.4636, kb_relative_information_score: 31.601, mean_absolute_error: 0.265, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.7347, predictive_accuracy: 0.7353, prior_entropy: 0.9968, recall: 0.7353, relative_absolute_error: 0.5331, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5144, root_relative_squared_error: 1.0327, scimark_benchmark: 940.9906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7489, build_cpu_time: 0.456, build_memory: 293706704, f_measure: 0.7344, kappa: 0.4636, kb_relative_information_score: 31.2368, mean_absolute_error: 0.2686, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.7347, predictive_accuracy: 0.7353, prior_entropy: 0.9968, recall: 0.7353, relative_absolute_error: 0.5403, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5123, root_relative_squared_error: 1.0283, scimark_benchmark: 919.6575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7864, build_cpu_time: 0.153, build_memory: 1028797080, f_measure: 0.7049, kappa: 0.404, kb_relative_information_score: 26.9442, mean_absolute_error: 0.2995, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.7051, predictive_accuracy: 0.7059, prior_entropy: 0.9968, recall: 0.7059, relative_absolute_error: 0.6024, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5328, root_relative_squared_error: 1.0695, scimark_benchmark: 929.9115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.782, build_cpu_time: 0.117, build_memory: 958069848, f_measure: 0.7049, kappa: 0.404, kb_relative_information_score: 26.9079, mean_absolute_error: 0.2993, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.7051, predictive_accuracy: 0.7059, prior_entropy: 0.9968, recall: 0.7059, relative_absolute_error: 0.6021, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5219, root_relative_squared_error: 1.0477, scimark_benchmark: 918.7639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7729, build_cpu_time: 0.086, build_memory: 1025869352, f_measure: 0.6753, kappa: 0.3444, kb_relative_information_score: 25.841, mean_absolute_error: 0.3064, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.6754, predictive_accuracy: 0.6765, prior_entropy: 0.9968, recall: 0.6765, relative_absolute_error: 0.6165, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5081, root_relative_squared_error: 1.0199, scimark_benchmark: 947.2691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8099, build_cpu_time: 0.113, build_memory: 172596576, f_measure: 0.7049, kappa: 0.404, kb_relative_information_score: 28.9137, mean_absolute_error: 0.2833, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.7051, predictive_accuracy: 0.7059, prior_entropy: 0.9968, recall: 0.7059, relative_absolute_error: 0.5699, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5008, root_relative_squared_error: 1.0052, scimark_benchmark: 940.5101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8422, build_cpu_time: 0.314, build_memory: 17016344, f_measure: 0.7049, kappa: 0.404, kb_relative_information_score: 28.5982, mean_absolute_error: 0.2853, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.7051, predictive_accuracy: 0.7059, prior_entropy: 0.9968, recall: 0.7059, relative_absolute_error: 0.574, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5053, root_relative_squared_error: 1.0143, scimark_benchmark: 941.7846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8422, build_cpu_time: 0.2, build_memory: 127028128, f_measure: 0.7049, kappa: 0.404, kb_relative_information_score: 28.5982, mean_absolute_error: 0.2853, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.7051, predictive_accuracy: 0.7059, prior_entropy: 0.9968, recall: 0.7059, relative_absolute_error: 0.574, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5053, root_relative_squared_error: 1.0143, scimark_benchmark: 926.4124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8422, build_cpu_time: 0.294, build_memory: 353109736, f_measure: 0.7049, kappa: 0.404, kb_relative_information_score: 28.5982, mean_absolute_error: 0.2853, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.7051, predictive_accuracy: 0.7059, prior_entropy: 0.9968, recall: 0.7059, relative_absolute_error: 0.574, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5053, root_relative_squared_error: 1.0143, scimark_benchmark: 895.3841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6469, build_cpu_time: 0.006, build_memory: 483280544, f_measure: 0.6477, kappa: 0.2923, kb_relative_information_score: 19.549, mean_absolute_error: 0.3529, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.6494, predictive_accuracy: 0.6471, prior_entropy: 0.9968, recall: 0.6471, relative_absolute_error: 0.7101, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5941, root_relative_squared_error: 1.1926, scimark_benchmark: 874.2668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6469, build_cpu_time: 0.004, build_memory: 2135763248, f_measure: 0.6477, kappa: 0.2923, kb_relative_information_score: 19.549, mean_absolute_error: 0.3529, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.6494, predictive_accuracy: 0.6471, prior_entropy: 0.9968, recall: 0.6471, relative_absolute_error: 0.7101, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5941, root_relative_squared_error: 1.1926, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6469, build_cpu_time: 0.002, build_memory: 2863717624, f_measure: 0.6477, kappa: 0.2923, kb_relative_information_score: 19.549, mean_absolute_error: 0.3529, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.6494, predictive_accuracy: 0.6471, prior_entropy: 0.9968, recall: 0.6471, relative_absolute_error: 0.7101, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5941, root_relative_squared_error: 1.1926, scimark_benchmark: 946.9091,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8352, build_cpu_time: 0.207, build_memory: 71425872, f_measure: 0.7626, kappa: 0.5207, kb_relative_information_score: 34.7037, mean_absolute_error: 0.2425, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.766, predictive_accuracy: 0.7647, prior_entropy: 0.9968, recall: 0.7647, relative_absolute_error: 0.4879, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4653, root_relative_squared_error: 0.9341, scimark_benchmark: 942.3919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8256, build_cpu_time: 2.574, build_memory: 1219613728, f_measure: 0.7923, kappa: 0.5806, kb_relative_information_score: 39.8287, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.7961, predictive_accuracy: 0.7941, prior_entropy: 0.9968, recall: 0.7941, relative_absolute_error: 0.4125, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4453, root_relative_squared_error: 0.8939, scimark_benchmark: 885.5309,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8601, build_cpu_time: 0.763, build_memory: 988570936, f_measure: 0.7189, kappa: 0.4323, kb_relative_information_score: 31.5296, mean_absolute_error: 0.2628, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.7201, predictive_accuracy: 0.7206, prior_entropy: 0.9968, recall: 0.7206, relative_absolute_error: 0.5288, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4994, root_relative_squared_error: 1.0024, scimark_benchmark: 906.4221,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8143, build_cpu_time: 0.084, build_memory: 138607336, f_measure: 0.6753, kappa: 0.3444, kb_relative_information_score: 24.7423, mean_absolute_error: 0.3127, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.6754, predictive_accuracy: 0.6765, prior_entropy: 0.9968, recall: 0.6765, relative_absolute_error: 0.6292, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.495, root_relative_squared_error: 0.9936, scimark_benchmark: 941.6964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8492, build_cpu_time: 0.054, build_memory: 1274351648, f_measure: 0.7033, kappa: 0.4009, kb_relative_information_score: 22.7386, mean_absolute_error: 0.3447, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.7057, predictive_accuracy: 0.7059, prior_entropy: 0.9968, recall: 0.7059, relative_absolute_error: 0.6935, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.7956, scimark_benchmark: 936.8525,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7254, build_memory: 458963304, f_measure: 0.731, kappa: 0.4579, kb_relative_information_score: 31.2991, mean_absolute_error: 0.268, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.7387, predictive_accuracy: 0.7353, prior_entropy: 0.9968, recall: 0.7353, relative_absolute_error: 0.5392, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5109, root_relative_squared_error: 1.0256, scimark_benchmark: 892.0716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6691, build_cpu_time: 0.014, build_memory: 916245344, f_measure: 0.6679, kappa: 0.3521, kb_relative_information_score: 25.5877, mean_absolute_error: 0.3088, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.7262, predictive_accuracy: 0.6912, prior_entropy: 0.9968, recall: 0.6912, relative_absolute_error: 0.6213, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5557, root_relative_squared_error: 1.1155, scimark_benchmark: 909.8271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7171, build_cpu_time: 0.012, build_memory: 1006183008, f_measure: 0.7202, kappa: 0.4353, kb_relative_information_score: 29.6135, mean_absolute_error: 0.2794, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.72, predictive_accuracy: 0.7206, prior_entropy: 0.9968, recall: 0.7206, relative_absolute_error: 0.5621, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5286, root_relative_squared_error: 1.0611, scimark_benchmark: 931.9838,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7681, build_cpu_time: 0.036, build_memory: 537538184, f_measure: 0.6915, kappa: 0.3791, kb_relative_information_score: 19.2419, mean_absolute_error: 0.3636, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.6921, predictive_accuracy: 0.6912, prior_entropy: 0.9968, recall: 0.6912, relative_absolute_error: 0.7315, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.44, root_relative_squared_error: 0.8833, scimark_benchmark: 934.4754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7681, build_cpu_time: 0.036, build_memory: 559375744, f_measure: 0.6915, kappa: 0.3791, kb_relative_information_score: 19.2419, mean_absolute_error: 0.3636, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.6921, predictive_accuracy: 0.6912, prior_entropy: 0.9968, recall: 0.6912, relative_absolute_error: 0.7315, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.44, root_relative_squared_error: 0.8833, scimark_benchmark: 945.1122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8309, build_cpu_time: 0.042, build_memory: 222555440, f_measure: 0.7945, kappa: 0.5872, kb_relative_information_score: 29.4248, mean_absolute_error: 0.2896, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.7962, predictive_accuracy: 0.7941, prior_entropy: 0.9968, recall: 0.7941, relative_absolute_error: 0.5826, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4296, root_relative_squared_error: 0.8623, scimark_benchmark: 930.1524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6874, build_cpu_time: 0.004, build_memory: 579147512, f_measure: 0.6907, kappa: 0.3759, kb_relative_information_score: 25.5877, mean_absolute_error: 0.3088, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.6905, predictive_accuracy: 0.6912, prior_entropy: 0.9968, recall: 0.6912, relative_absolute_error: 0.6213, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5557, root_relative_squared_error: 1.1155, scimark_benchmark: 927.6633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6874, build_cpu_time: 0.003, build_memory: 208438488, f_measure: 0.6907, kappa: 0.3759, kb_relative_information_score: 25.5877, mean_absolute_error: 0.3088, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.6905, predictive_accuracy: 0.6912, prior_entropy: 0.9968, recall: 0.6912, relative_absolute_error: 0.6213, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5557, root_relative_squared_error: 1.1155, scimark_benchmark: 946.3269,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7493, build_cpu_time: 0.01, build_memory: 583257088, f_measure: 0.7059, kappa: 0.4071, kb_relative_information_score: 27.6603, mean_absolute_error: 0.2936, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.7059, predictive_accuracy: 0.7059, prior_entropy: 0.9968, recall: 0.7059, relative_absolute_error: 0.5907, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5156, root_relative_squared_error: 1.035, scimark_benchmark: 949.9767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.001, build_memory: 861575080, f_measure: 0.3835, kb_relative_information_score: -0.0956, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.2961, predictive_accuracy: 0.5441, prior_entropy: 0.9968, recall: 0.5441, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4983, root_relative_squared_error: 1.0003, scimark_benchmark: 922.2602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7249, build_cpu_time: 0.001, build_memory: 98292768, f_measure: 0.7209, kappa: 0.4441, kb_relative_information_score: 29.6135, mean_absolute_error: 0.2794, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.729, predictive_accuracy: 0.7206, prior_entropy: 0.9968, recall: 0.7206, relative_absolute_error: 0.5621, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5286, root_relative_squared_error: 1.0611, scimark_benchmark: 944.7664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.772, build_cpu_time: 0.466, build_memory: 515236880, f_measure: 0.6765, kappa: 0.3479, kb_relative_information_score: 24.8891, mean_absolute_error: 0.3132, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.6765, predictive_accuracy: 0.6765, prior_entropy: 0.9968, recall: 0.6765, relative_absolute_error: 0.6302, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4695, root_relative_squared_error: 0.9425, scimark_benchmark: 926.0021,

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