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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

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Function: query

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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: loadpage

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

OpenML
OpenML
Supervised Classification on mc1

Supervised Classification on mc1

Task 3907 Supervised Classification mc1 549 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: 0.7917, build_cpu_time: 954.5462, build_memory: 269045771.9146, f_measure: 0.995, kappa: 0.6184, kb_relative_information_score: 59.0747, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9948, predictive_accuracy: 0.9954, prior_entropy: 0.0622, recall: 0.9954, relative_absolute_error: 0.4085, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0687, root_relative_squared_error: 0.814, scimark_benchmark: 922.3661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9317, build_cpu_time: 7.2784, build_memory: 857873957.9117, f_measure: 0.9932, kappa: 0.4529, kb_relative_information_score: -1748.4233, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9931, predictive_accuracy: 0.9942, prior_entropy: 0.0622, recall: 0.9942, relative_absolute_error: 0.4752, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0709, root_relative_squared_error: 0.84, scimark_benchmark: 917.4547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9294, build_cpu_time: 6.4717, build_memory: 1136892655.9366, f_measure: 0.9932, kappa: 0.4529, kb_relative_information_score: -1698.6703, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9931, predictive_accuracy: 0.9942, prior_entropy: 0.0622, recall: 0.9942, relative_absolute_error: 0.4755, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0714, root_relative_squared_error: 0.8459, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8789, build_cpu_time: 3.5372, build_memory: 1084472724.3237, f_measure: 0.9946, kappa: 0.5772, kb_relative_information_score: -195.1443, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9946, predictive_accuracy: 0.9952, prior_entropy: 0.0622, recall: 0.9952, relative_absolute_error: 0.4105, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0677, root_relative_squared_error: 0.8011, scimark_benchmark: 906.6607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8664, build_cpu_time: 5.7404, build_memory: 281430030.2599, f_measure: 0.9947, kappa: 0.5849, kb_relative_information_score: -8.093, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9946, predictive_accuracy: 0.9952, prior_entropy: 0.0622, recall: 0.9952, relative_absolute_error: 0.412, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0681, root_relative_squared_error: 0.8066, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8671, build_cpu_time: 12.4469, build_memory: 101123003.4633, f_measure: 0.9947, kappa: 0.5849, kb_relative_information_score: 23.7556, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9946, predictive_accuracy: 0.9952, prior_entropy: 0.0622, recall: 0.9952, relative_absolute_error: 0.4106, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.068, root_relative_squared_error: 0.8056, scimark_benchmark: 917.4547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8674, build_cpu_time: 17.5471, build_memory: 776551531.6822, f_measure: 0.9948, kappa: 0.5978, kb_relative_information_score: 69.4188, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9948, predictive_accuracy: 0.9954, prior_entropy: 0.0622, recall: 0.9954, relative_absolute_error: 0.4105, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.068, root_relative_squared_error: 0.8052, scimark_benchmark: 919.8064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8676, build_cpu_time: 31.3507, build_memory: 1448063429.6827, f_measure: 0.9947, kappa: 0.5849, kb_relative_information_score: 79.7545, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9946, predictive_accuracy: 0.9952, prior_entropy: 0.0622, recall: 0.9952, relative_absolute_error: 0.4102, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0679, root_relative_squared_error: 0.8043, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8884, build_cpu_time: 18.3675, build_memory: 2102259802.27, f_measure: 0.995, kappa: 0.609, kb_relative_information_score: 206.6021, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9951, predictive_accuracy: 0.9956, prior_entropy: 0.0622, recall: 0.9956, relative_absolute_error: 0.3979, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0656, root_relative_squared_error: 0.7768, scimark_benchmark: 874.7324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3679, build_cpu_time: 0.9947, build_memory: 1371323896.3845, f_measure: 0.8659, kappa: -0.0113, kb_relative_information_score: -276367.6231, mean_absolute_error: 0.2362, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9841, predictive_accuracy: 0.7734, prior_entropy: 0.0622, recall: 0.7734, relative_absolute_error: 16.4405, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.475, root_relative_squared_error: 5.624, scimark_benchmark: 944.3832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, build_cpu_time: 15.892, build_memory: 803094540.7817, f_measure: 0.9928, kappa: 0.4098, kb_relative_information_score: -4885.1331, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9927, predictive_accuracy: 0.994, prior_entropy: 0.0622, recall: 0.994, relative_absolute_error: 0.5285, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0723, root_relative_squared_error: 0.8565, scimark_benchmark: 935.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9487, build_cpu_time: 0.8141, build_memory: 1392561014.0266, f_measure: 0.9903, kappa: 0.3487, kb_relative_information_score: -20797.7321, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9907, predictive_accuracy: 0.99, prior_entropy: 0.0622, recall: 0.99, relative_absolute_error: 0.8687, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0885, root_relative_squared_error: 1.0483, scimark_benchmark: 947.4397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9157, build_cpu_time: 2.0733, build_memory: 631902243.1109, f_measure: 0.9944, kappa: 0.5555, kb_relative_information_score: -14558.4653, mean_absolute_error: 0.0081, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9945, predictive_accuracy: 0.9951, prior_entropy: 0.0622, recall: 0.9951, relative_absolute_error: 0.5621, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0645, root_relative_squared_error: 0.7637, scimark_benchmark: 936.8525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6312, build_cpu_time: 0.8949, build_memory: 934098142.6216, f_measure: 0.9928, kappa: 0.4019, kb_relative_information_score: 2047.236, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9929, predictive_accuracy: 0.9941, prior_entropy: 0.0622, recall: 0.9941, relative_absolute_error: 0.698, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0757, root_relative_squared_error: 0.8962, scimark_benchmark: 932.1837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9356, build_cpu_time: 0.0035, build_memory: 115942376.0566, f_measure: 0.995, kappa: 0.6184, kb_relative_information_score: 47.3124, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9948, predictive_accuracy: 0.9954, prior_entropy: 0.0622, recall: 0.9954, relative_absolute_error: 0.4103, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0687, root_relative_squared_error: 0.8139, scimark_benchmark: 912.1058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 3.6184, build_memory: 490807887.3805, f_measure: 0.9892, kb_relative_information_score: 1582.342, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9857, predictive_accuracy: 0.9928, prior_entropy: 0.0622, recall: 0.9928, relative_absolute_error: 0.5, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0848, root_relative_squared_error: 1.0036, scimark_benchmark: 844.3635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 2.2088, build_memory: 465400413.1967, f_measure: 0.9892, kb_relative_information_score: 1582.342, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9857, predictive_accuracy: 0.9928, prior_entropy: 0.0622, recall: 0.9928, relative_absolute_error: 0.5, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0848, root_relative_squared_error: 1.0036, scimark_benchmark: 936.7073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 1.2754, build_memory: 310773244.3752, f_measure: 0.9892, kb_relative_information_score: 1582.342, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9857, predictive_accuracy: 0.9928, prior_entropy: 0.0622, recall: 0.9928, relative_absolute_error: 0.5, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0848, root_relative_squared_error: 1.0036, scimark_benchmark: 931.9838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8904, build_cpu_time: 0.7802, build_memory: 418627200.551, f_measure: 0.9925, kappa: 0.3891, kb_relative_information_score: -25214.488, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9924, predictive_accuracy: 0.9938, prior_entropy: 0.0622, recall: 0.9938, relative_absolute_error: 0.7992, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0781, root_relative_squared_error: 0.9252, scimark_benchmark: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.813, build_cpu_time: 0.0699, build_memory: 140881508.5088, f_measure: 0.9636, kappa: 0.1174, kb_relative_information_score: -58344.8965, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9903, predictive_accuracy: 0.9414, prior_entropy: 0.0622, recall: 0.9414, relative_absolute_error: 4.0961, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.2396, root_relative_squared_error: 2.8366, scimark_benchmark: 946.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9414, build_cpu_time: 1.025, build_memory: 842336270.2945, f_measure: 0.9927, kappa: 0.3844, kb_relative_information_score: -20924.0037, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9936, predictive_accuracy: 0.9943, prior_entropy: 0.0622, recall: 0.9943, relative_absolute_error: 0.7332, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.072, root_relative_squared_error: 0.8523, scimark_benchmark: 933.0871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9414, build_cpu_time: 1.1296, build_memory: 827055734.7872, f_measure: 0.9927, kappa: 0.3844, kb_relative_information_score: -20924.0037, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9936, predictive_accuracy: 0.9943, prior_entropy: 0.0622, recall: 0.9943, relative_absolute_error: 0.7332, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.072, root_relative_squared_error: 0.8523, scimark_benchmark: 943.0033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7328, build_cpu_time: 0.4252, build_memory: 620046282.8041, f_measure: 0.9926, kappa: 0.3933, kb_relative_information_score: -9918.5773, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9925, predictive_accuracy: 0.9939, prior_entropy: 0.0622, recall: 0.9939, relative_absolute_error: 0.7093, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0772, root_relative_squared_error: 0.9136, scimark_benchmark: 922.5645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7328, build_cpu_time: 0.4042, build_memory: 518429319.1253, f_measure: 0.9926, kappa: 0.3933, kb_relative_information_score: -9918.5773, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9925, predictive_accuracy: 0.9939, prior_entropy: 0.0622, recall: 0.9939, relative_absolute_error: 0.7093, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0772, root_relative_squared_error: 0.9136, scimark_benchmark: 922.2602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7328, build_cpu_time: 0.3639, build_memory: 433012253.1367, f_measure: 0.9926, kappa: 0.3933, kb_relative_information_score: -9918.5773, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9925, predictive_accuracy: 0.9939, prior_entropy: 0.0622, recall: 0.9939, relative_absolute_error: 0.7093, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0772, root_relative_squared_error: 0.9136, scimark_benchmark: 938.2445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4881, build_cpu_time: 0.0018, build_memory: 586090320.9372, f_measure: 0.9892, kb_relative_information_score: -619.2311, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9857, predictive_accuracy: 0.9928, prior_entropy: 0.0622, recall: 0.9928, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0845, root_relative_squared_error: 1, scimark_benchmark: 938.2445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.813, build_cpu_time: 0.091, build_memory: 130845254.3444, f_measure: 0.9636, kappa: 0.1174, kb_relative_information_score: -58344.8965, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9903, predictive_accuracy: 0.9414, prior_entropy: 0.0622, recall: 0.9414, relative_absolute_error: 4.0961, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.2396, root_relative_squared_error: 2.8366, scimark_benchmark: 945.6567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.813, build_cpu_time: 0.0723, build_memory: 408495222.1525, f_measure: 0.9636, kappa: 0.1174, kb_relative_information_score: -58344.8965, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9903, predictive_accuracy: 0.9414, prior_entropy: 0.0622, recall: 0.9414, relative_absolute_error: 4.0961, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.2396, root_relative_squared_error: 2.8366, scimark_benchmark: 946.9694,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.528, build_cpu_time: 0.0046, build_memory: 180105785.588, f_measure: 0.9504, kappa: 0.0096, kb_relative_information_score: -79445.6515, mean_absolute_error: 0.0821, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9862, predictive_accuracy: 0.9179, prior_entropy: 0.0622, recall: 0.9179, relative_absolute_error: 5.7135, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.2865, root_relative_squared_error: 3.3925, scimark_benchmark: 943.1371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.493, build_cpu_time: 0.3365, build_memory: 1098614437.4114, f_measure: 0.9822, kappa: -0.0096, kb_relative_information_score: -13503.2647, mean_absolute_error: 0.0211, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9856, predictive_accuracy: 0.9789, prior_entropy: 0.0622, recall: 0.9789, relative_absolute_error: 1.4707, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.1454, root_relative_squared_error: 1.7212, scimark_benchmark: 939.7937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 13.9739, build_memory: 353460361.8914, f_measure: 0.9892, kb_relative_information_score: 1582.342, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9857, predictive_accuracy: 0.9928, prior_entropy: 0.0622, recall: 0.9928, relative_absolute_error: 0.5, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0848, root_relative_squared_error: 1.0036, scimark_benchmark: 935.5532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 12.4803, build_memory: 926215530.9706, f_measure: 0.9892, kb_relative_information_score: 1582.342, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9857, predictive_accuracy: 0.9928, prior_entropy: 0.0622, recall: 0.9928, relative_absolute_error: 0.5, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0848, root_relative_squared_error: 1.0036, scimark_benchmark: 936.5169,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8186, build_cpu_time: 24.0212, build_memory: 88294138.0756, f_measure: 0.9933, kappa: 0.4446, kb_relative_information_score: 3233.4179, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9937, predictive_accuracy: 0.9945, prior_entropy: 0.0622, recall: 0.9945, relative_absolute_error: 0.3971, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0742, root_relative_squared_error: 0.8791, scimark_benchmark: 938.4414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7524, build_cpu_time: 13.0049, build_memory: 83700152.7277, f_measure: 0.9914, kappa: 0.2599, kb_relative_information_score: 2337.512, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9918, predictive_accuracy: 0.9935, prior_entropy: 0.0622, recall: 0.9935, relative_absolute_error: 0.4649, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0797, root_relative_squared_error: 0.944, scimark_benchmark: 943.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8449, build_cpu_time: 74.1655, build_memory: 3756023440.6617, f_measure: 0.9927, kappa: 0.3844, kb_relative_information_score: -8716.1891, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9936, predictive_accuracy: 0.9943, prior_entropy: 0.0622, recall: 0.9943, relative_absolute_error: 0.6656, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0699, root_relative_squared_error: 0.8278, scimark_benchmark: 940.0249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8689, build_cpu_time: 147.9699, build_memory: 1208591154.8388, f_measure: 0.9927, kappa: 0.3844, kb_relative_information_score: -8265.2464, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9936, predictive_accuracy: 0.9943, prior_entropy: 0.0622, recall: 0.9943, relative_absolute_error: 0.6689, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0701, root_relative_squared_error: 0.83, scimark_benchmark: 944.0475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8689, build_cpu_time: 146.0745, build_memory: 1200068226.8608, f_measure: 0.9927, kappa: 0.3844, kb_relative_information_score: -8265.2464, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9936, predictive_accuracy: 0.9943, prior_entropy: 0.0622, recall: 0.9943, relative_absolute_error: 0.6689, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0701, root_relative_squared_error: 0.83, scimark_benchmark: 947.9668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9507, build_cpu_time: 41.3151, build_memory: 1017377632.8882, f_measure: 0.9927, kappa: 0.3799, kb_relative_information_score: -12900.8858, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9933, predictive_accuracy: 0.9942, prior_entropy: 0.0622, recall: 0.9942, relative_absolute_error: 0.6588, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0707, root_relative_squared_error: 0.8373, scimark_benchmark: 945.4645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9461, build_cpu_time: 20.1626, build_memory: 817303049.2516, f_measure: 0.9927, kappa: 0.3799, kb_relative_information_score: -13036.9855, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9933, predictive_accuracy: 0.9942, prior_entropy: 0.0622, recall: 0.9942, relative_absolute_error: 0.6588, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0707, root_relative_squared_error: 0.8377, scimark_benchmark: 943.1515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, build_cpu_time: 10.0938, build_memory: 1997513120.5443, f_measure: 0.9927, kappa: 0.3799, kb_relative_information_score: -12569.8491, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9933, predictive_accuracy: 0.9942, prior_entropy: 0.0622, recall: 0.9942, relative_absolute_error: 0.6582, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0708, root_relative_squared_error: 0.8383, scimark_benchmark: 940.6686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9514, build_cpu_time: 5.6385, build_memory: 562266740.8739, f_measure: 0.9927, kappa: 0.3799, kb_relative_information_score: -11645.6544, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9933, predictive_accuracy: 0.9942, prior_entropy: 0.0622, recall: 0.9942, relative_absolute_error: 0.6632, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.071, root_relative_squared_error: 0.8406, scimark_benchmark: 902.4408,

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