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A PHP Error was encountered

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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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
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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
Line: 337
Function: require_once

OpenML
OpenML
Supervised Classification on fri_c3_100_25

Supervised Classification on fri_c3_100_25

Task 3634 Supervised Classification fri_c3_100_25 552 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 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8299, build_cpu_time: 0.0868, build_memory: 893857887.2, f_measure: 0.7697, kappa: 0.5344, kb_relative_information_score: 53.2685, mean_absolute_error: 0.2322, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7696, predictive_accuracy: 0.77, prior_entropy: 0.9931, recall: 0.77, relative_absolute_error: 0.469, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4535, root_relative_squared_error: 0.9115, scimark_benchmark: 930.5854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8061, build_cpu_time: 0.0819, build_memory: 1449293748.8, f_measure: 0.7604, kappa: 0.5171, kb_relative_information_score: 47.853, mean_absolute_error: 0.2598, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7614, predictive_accuracy: 0.76, prior_entropy: 0.9931, recall: 0.76, relative_absolute_error: 0.5246, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4573, root_relative_squared_error: 0.9192, scimark_benchmark: 920.7965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7436, build_cpu_time: 0.0232, build_memory: 563118719.2, f_measure: 0.6687, kappa: 0.3293, kb_relative_information_score: 30.1987, mean_absolute_error: 0.3451, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6686, predictive_accuracy: 0.67, prior_entropy: 0.9931, recall: 0.67, relative_absolute_error: 0.6971, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5501, root_relative_squared_error: 1.1058, scimark_benchmark: 935.6292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7481, build_cpu_time: 0.0492, build_memory: 195800130.4, f_measure: 0.6845, kappa: 0.3621, kb_relative_information_score: 36.6391, mean_absolute_error: 0.3119, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6906, predictive_accuracy: 0.69, prior_entropy: 0.9931, recall: 0.69, relative_absolute_error: 0.6299, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5272, root_relative_squared_error: 1.0597, scimark_benchmark: 936.1433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.741, build_cpu_time: 0.103, build_memory: 1155843422.4, f_measure: 0.7064, kappa: 0.4057, kb_relative_information_score: 39.564, mean_absolute_error: 0.2989, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7101, predictive_accuracy: 0.71, prior_entropy: 0.9931, recall: 0.71, relative_absolute_error: 0.6037, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5163, root_relative_squared_error: 1.0379, scimark_benchmark: 943.4039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7634, build_cpu_time: 0.1964, build_memory: 1285945687.2, f_measure: 0.7267, kappa: 0.4467, kb_relative_information_score: 43.8043, mean_absolute_error: 0.2771, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7308, predictive_accuracy: 0.73, prior_entropy: 0.9931, recall: 0.73, relative_absolute_error: 0.5596, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0044, scimark_benchmark: 916.8516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7725, build_cpu_time: 0.4115, build_memory: 421030477.6, f_measure: 0.7564, kappa: 0.5072, kb_relative_information_score: 48.8313, mean_absolute_error: 0.2531, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.763, predictive_accuracy: 0.76, prior_entropy: 0.9931, recall: 0.76, relative_absolute_error: 0.5111, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.475, root_relative_squared_error: 0.9547, scimark_benchmark: 890.3066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.598, build_cpu_time: 0.0152, build_memory: 279178518.4, f_measure: 0.6006, kappa: 0.1952, kb_relative_information_score: 18.5337, mean_absolute_error: 0.4022, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6018, predictive_accuracy: 0.6, prior_entropy: 0.9931, recall: 0.6, relative_absolute_error: 0.8123, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.6256, root_relative_squared_error: 1.2576, scimark_benchmark: 936.1433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.598, build_cpu_time: 0.0074, build_memory: 617443958.4, f_measure: 0.6006, kappa: 0.1952, kb_relative_information_score: 18.5337, mean_absolute_error: 0.4022, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6018, predictive_accuracy: 0.6, prior_entropy: 0.9931, recall: 0.6, relative_absolute_error: 0.8123, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.6256, root_relative_squared_error: 1.2576, scimark_benchmark: 873.8637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.598, build_cpu_time: 0.0063, build_memory: 198009268.8, f_measure: 0.6006, kappa: 0.1952, kb_relative_information_score: 18.5337, mean_absolute_error: 0.4022, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6018, predictive_accuracy: 0.6, prior_entropy: 0.9931, recall: 0.6, relative_absolute_error: 0.8123, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.6256, root_relative_squared_error: 1.2576, scimark_benchmark: 945.5885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.804, build_cpu_time: 0.7746, build_memory: 1278456489.6, f_measure: 0.7576, kappa: 0.5092, kb_relative_information_score: 50.6815, mean_absolute_error: 0.2434, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7609, predictive_accuracy: 0.76, prior_entropy: 0.9931, recall: 0.76, relative_absolute_error: 0.4917, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4832, root_relative_squared_error: 0.9712, scimark_benchmark: 934.281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7721, build_cpu_time: 0.3857, build_memory: 985411792.8, f_measure: 0.7, kappa: 0.3939, kb_relative_information_score: 40.0946, mean_absolute_error: 0.2947, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7, predictive_accuracy: 0.7, prior_entropy: 0.9931, recall: 0.7, relative_absolute_error: 0.5952, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5185, root_relative_squared_error: 1.0422, scimark_benchmark: 940.9619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7168, build_cpu_time: 0.1879, build_memory: 2913704864.8, f_measure: 0.6581, kappa: 0.3075, kb_relative_information_score: 30.1188, mean_absolute_error: 0.3453, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6582, predictive_accuracy: 0.66, prior_entropy: 0.9931, recall: 0.66, relative_absolute_error: 0.6974, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5562, root_relative_squared_error: 1.1181, scimark_benchmark: 937.2031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7208, build_cpu_time: 0.1475, build_memory: 1815030094.4, f_measure: 0.64, kappa: 0.2727, kb_relative_information_score: 24.4167, mean_absolute_error: 0.3744, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.64, predictive_accuracy: 0.64, prior_entropy: 0.9931, recall: 0.64, relative_absolute_error: 0.7562, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5511, root_relative_squared_error: 1.1078, scimark_benchmark: 933.9469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5907, build_cpu_time: 0.3067, build_memory: 1889299808.8, f_measure: 0.5607, kappa: 0.1147, kb_relative_information_score: 10.8733, mean_absolute_error: 0.4455, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.5619, predictive_accuracy: 0.56, prior_entropy: 0.9931, recall: 0.56, relative_absolute_error: 0.8998, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5386, root_relative_squared_error: 1.0825, scimark_benchmark: 933.1799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.836, build_cpu_time: 0.1238, build_memory: 399535005.6, f_measure: 0.7795, kappa: 0.5538, kb_relative_information_score: 53.1325, mean_absolute_error: 0.2337, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7796, predictive_accuracy: 0.78, prior_entropy: 0.9931, recall: 0.78, relative_absolute_error: 0.4719, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4411, root_relative_squared_error: 0.8867, scimark_benchmark: 945.384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4495, build_cpu_time: 0.0043, build_memory: 2070696388, f_measure: 0.3903, kb_relative_information_score: -0.1622, mean_absolute_error: 0.4956, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.3025, predictive_accuracy: 0.55, prior_entropy: 0.9931, recall: 0.55, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4981, root_relative_squared_error: 1.0012, scimark_benchmark: 945.8601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4495, build_cpu_time: 0.0011, build_memory: 1132402124, f_measure: 0.3903, kb_relative_information_score: -0.1622, mean_absolute_error: 0.4956, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.3025, predictive_accuracy: 0.55, prior_entropy: 0.9931, recall: 0.55, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4981, root_relative_squared_error: 1.0012, scimark_benchmark: 940.9967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7543, build_cpu_time: 0.0351, build_memory: 962618771.2, f_measure: 0.6529, kappa: 0.299, kb_relative_information_score: 14.1735, mean_absolute_error: 0.4365, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6596, predictive_accuracy: 0.66, prior_entropy: 0.9931, recall: 0.66, relative_absolute_error: 0.8816, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4542, root_relative_squared_error: 0.9129, scimark_benchmark: 892.0716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6624, build_cpu_time: 0.0096, build_memory: 1173325480.8, f_measure: 0.6549, kappa: 0.3018, kb_relative_information_score: 23.0638, mean_absolute_error: 0.3899, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6586, predictive_accuracy: 0.66, prior_entropy: 0.9931, recall: 0.66, relative_absolute_error: 0.7876, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4979, root_relative_squared_error: 1.0009, scimark_benchmark: 942.4411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.598, build_cpu_time: 0.0001, build_memory: 128729652.8, f_measure: 0.6006, kappa: 0.1952, kb_relative_information_score: 18.5337, mean_absolute_error: 0.4022, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6018, predictive_accuracy: 0.6, prior_entropy: 0.9931, recall: 0.6, relative_absolute_error: 0.8123, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.6256, root_relative_squared_error: 1.2576, scimark_benchmark: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.0087, build_memory: 287778928.8, f_measure: 0.3903, kb_relative_information_score: 8.7112, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.3025, predictive_accuracy: 0.55, prior_entropy: 0.9931, recall: 0.55, relative_absolute_error: 0.9089, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.6708, root_relative_squared_error: 1.3484, scimark_benchmark: 945.384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.596, build_cpu_time: 0.0059, build_memory: 1063965797.6, f_measure: 0.6, kappa: 0.1919, kb_relative_information_score: 18.8513, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6, predictive_accuracy: 0.6, prior_entropy: 0.9931, recall: 0.6, relative_absolute_error: 0.8079, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2713, scimark_benchmark: 937.4673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5667, build_cpu_time: 0.0102, build_memory: 36247969.6, f_measure: 0.5704, kappa: 0.1331, kb_relative_information_score: 12.7672, mean_absolute_error: 0.43, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.5709, predictive_accuracy: 0.57, prior_entropy: 0.9931, recall: 0.57, relative_absolute_error: 0.8685, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.6557, root_relative_squared_error: 1.3181, scimark_benchmark: 935.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5879, build_cpu_time: 0.008, build_memory: 85859405.6, f_measure: 0.5704, kappa: 0.1331, kb_relative_information_score: 10.7392, mean_absolute_error: 0.4443, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.5709, predictive_accuracy: 0.57, prior_entropy: 0.9931, recall: 0.57, relative_absolute_error: 0.8975, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5562, root_relative_squared_error: 1.118, scimark_benchmark: 940.4464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5422, build_cpu_time: 0.0007, build_memory: 78239441.6, f_measure: 0.56, kappa: 0.1111, kb_relative_information_score: 4.4898, mean_absolute_error: 0.4763, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.56, predictive_accuracy: 0.56, prior_entropy: 0.9931, recall: 0.56, relative_absolute_error: 0.962, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5499, root_relative_squared_error: 1.1053, scimark_benchmark: 942.9279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7475, build_cpu_time: 0.0145, build_memory: 311093692, f_measure: 0.6845, kappa: 0.3621, kb_relative_information_score: 16.439, mean_absolute_error: 0.4256, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6906, predictive_accuracy: 0.69, prior_entropy: 0.9931, recall: 0.69, relative_absolute_error: 0.8595, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4538, root_relative_squared_error: 0.9121, scimark_benchmark: 930.1524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7475, build_cpu_time: 0.0122, build_memory: 131292287.2, f_measure: 0.6845, kappa: 0.3621, kb_relative_information_score: 16.439, mean_absolute_error: 0.4256, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6906, predictive_accuracy: 0.69, prior_entropy: 0.9931, recall: 0.69, relative_absolute_error: 0.8595, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4538, root_relative_squared_error: 0.9121, scimark_benchmark: 934.4754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7212, build_cpu_time: 0.0122, build_memory: 129238110.4, f_measure: 0.6457, kappa: 0.2828, kb_relative_information_score: 22.1443, mean_absolute_error: 0.3914, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6479, predictive_accuracy: 0.65, prior_entropy: 0.9931, recall: 0.65, relative_absolute_error: 0.7906, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4731, root_relative_squared_error: 0.9509, scimark_benchmark: 945.1122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6232, build_cpu_time: 0.0011, build_memory: 614433160, f_measure: 0.6285, kappa: 0.248, kb_relative_information_score: 24.9353, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6282, predictive_accuracy: 0.63, prior_entropy: 0.9931, recall: 0.63, relative_absolute_error: 0.7473, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.6083, root_relative_squared_error: 1.2227, scimark_benchmark: 946.8522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6232, build_cpu_time: 0.0014, build_memory: 907811820.8, f_measure: 0.6285, kappa: 0.248, kb_relative_information_score: 24.9353, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6282, predictive_accuracy: 0.63, prior_entropy: 0.9931, recall: 0.63, relative_absolute_error: 0.7473, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.6083, root_relative_squared_error: 1.2227, scimark_benchmark: 929.8725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7022, build_cpu_time: 0.0027, build_memory: 321730464, f_measure: 0.7158, kappa: 0.4251, kb_relative_information_score: 38.5145, mean_absolute_error: 0.3072, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7212, predictive_accuracy: 0.72, prior_entropy: 0.9931, recall: 0.72, relative_absolute_error: 0.6205, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.508, root_relative_squared_error: 1.0211, scimark_benchmark: 922.2602,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6655, build_cpu_time: 0.7485, build_memory: 41386972, f_measure: 0.6409, kappa: 0.2786, kb_relative_information_score: 14.8893, mean_absolute_error: 0.431, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6438, predictive_accuracy: 0.64, prior_entropy: 0.9931, recall: 0.64, relative_absolute_error: 0.8705, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4904, root_relative_squared_error: 0.9857, scimark_benchmark: 942.6348,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6804, build_cpu_time: 5.2728, build_memory: 2904543959.2, f_measure: 0.6605, kappa: 0.3159, kb_relative_information_score: 15.0436, mean_absolute_error: 0.4292, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6616, predictive_accuracy: 0.66, prior_entropy: 0.9931, recall: 0.66, relative_absolute_error: 0.8669, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4751, root_relative_squared_error: 0.955, scimark_benchmark: 944.2629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7046, build_cpu_time: 11.6258, build_memory: 405504244.8, f_measure: 0.6605, kappa: 0.3159, kb_relative_information_score: 16.4922, mean_absolute_error: 0.4227, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6616, predictive_accuracy: 0.66, prior_entropy: 0.9931, recall: 0.66, relative_absolute_error: 0.8538, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4661, root_relative_squared_error: 0.9368, scimark_benchmark: 941.5665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8349, build_cpu_time: 1.5971, build_memory: 797866632.8, f_measure: 0.8, kappa: 0.596, kb_relative_information_score: 58.4938, mean_absolute_error: 0.2068, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 0.9931, recall: 0.8, relative_absolute_error: 0.4176, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4209, root_relative_squared_error: 0.8459, scimark_benchmark: 890.4487,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8196, build_cpu_time: 0.123, build_memory: 63618632, f_measure: 0.7606, kappa: 0.521, kb_relative_information_score: 45.6339, mean_absolute_error: 0.2719, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7666, predictive_accuracy: 0.76, prior_entropy: 0.9931, recall: 0.76, relative_absolute_error: 0.5493, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.477, root_relative_squared_error: 0.9588, scimark_benchmark: 945.9825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8196, build_cpu_time: 0.0781, build_memory: 563803107.2, f_measure: 0.7606, kappa: 0.521, kb_relative_information_score: 45.6339, mean_absolute_error: 0.2719, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7666, predictive_accuracy: 0.76, prior_entropy: 0.9931, recall: 0.76, relative_absolute_error: 0.5493, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.477, root_relative_squared_error: 0.9588, scimark_benchmark: 920.6195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7976, build_cpu_time: 0.4092, build_memory: 1517924924.8, f_measure: 0.7008, kappa: 0.3983, kb_relative_information_score: 19.8801, mean_absolute_error: 0.4117, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7176, predictive_accuracy: 0.71, prior_entropy: 0.9931, recall: 0.71, relative_absolute_error: 0.8316, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4394, root_relative_squared_error: 0.8832, scimark_benchmark: 940.7618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8255, build_cpu_time: 0.7669, build_memory: 236011208, f_measure: 0.7215, kappa: 0.4398, kb_relative_information_score: 20.7567, mean_absolute_error: 0.408, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7398, predictive_accuracy: 0.73, prior_entropy: 0.9931, recall: 0.73, relative_absolute_error: 0.8241, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4336, root_relative_squared_error: 0.8716, scimark_benchmark: 946.2735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.777, build_cpu_time: 0.2957, build_memory: 385235741.6, f_measure: 0.697, kappa: 0.3865, kb_relative_information_score: 18.8566, mean_absolute_error: 0.4152, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6992, predictive_accuracy: 0.7, prior_entropy: 0.9931, recall: 0.7, relative_absolute_error: 0.8387, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4432, root_relative_squared_error: 0.8909, scimark_benchmark: 943.1938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.777, build_cpu_time: 0.3604, build_memory: 656367562.4, f_measure: 0.697, kappa: 0.3865, kb_relative_information_score: 18.8566, mean_absolute_error: 0.4152, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6992, predictive_accuracy: 0.7, prior_entropy: 0.9931, recall: 0.7, relative_absolute_error: 0.8387, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4432, root_relative_squared_error: 0.8909, scimark_benchmark: 939.6281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7612, build_cpu_time: 0.196, build_memory: 1017447312.8, f_measure: 0.697, kappa: 0.3865, kb_relative_information_score: 18.1813, mean_absolute_error: 0.4178, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6992, predictive_accuracy: 0.7, prior_entropy: 0.9931, recall: 0.7, relative_absolute_error: 0.8439, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4476, root_relative_squared_error: 0.8996, scimark_benchmark: 931.0446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7547, build_cpu_time: 0.0866, build_memory: 4326061873.6, f_measure: 0.6549, kappa: 0.3018, kb_relative_information_score: 18.3985, mean_absolute_error: 0.415, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6586, predictive_accuracy: 0.66, prior_entropy: 0.9931, recall: 0.66, relative_absolute_error: 0.8381, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4479, root_relative_squared_error: 0.9003, scimark_benchmark: 939.3588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6853, build_cpu_time: 0.0336, build_memory: 85166448.8, f_measure: 0.6163, kappa: 0.2229, kb_relative_information_score: 13.6925, mean_absolute_error: 0.4335, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.617, predictive_accuracy: 0.62, prior_entropy: 0.9931, recall: 0.62, relative_absolute_error: 0.8756, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4712, root_relative_squared_error: 0.9471, scimark_benchmark: 944.705,

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

OpenML bootcamp

From your own software

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

OpenML APIs