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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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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
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Function: require_once

OpenML
OpenML
Supervised Classification on car

Supervised Classification on car

Task 21 Supervised Classification car 12568 runs submitted
1 likes downloaded by 1 people , 1 total downloads 0 issues
Visibility: Public
  • at2 basic OpenML100 study_1 study_107 study_123 study_14 study_41 study_50 study_7 study_70 study_73 under100k under1m
Issue #Downvotes for this reason By


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12568 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, build_cpu_time: 0.2354, build_memory: 866478212.588, f_measure: 0.923, kappa: 0.8514, kb_relative_information_score: 1092.5099, mean_absolute_error: 0.1119, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9395, predictive_accuracy: 0.9346, prior_entropy: 1.2099, recall: 0.9346, relative_absolute_error: 0.4886, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.5773, scimark_benchmark: 937.5625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, build_cpu_time: 0.1927, build_memory: 97820991.7963, f_measure: 0.923, kappa: 0.8514, kb_relative_information_score: 1092.5099, mean_absolute_error: 0.1119, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9395, predictive_accuracy: 0.9346, prior_entropy: 1.2099, recall: 0.9346, relative_absolute_error: 0.4886, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.5773, scimark_benchmark: 942.5053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, build_cpu_time: 30.5226, build_memory: 789720463.3889, f_measure: 0.9902, kappa: 0.9785, kb_relative_information_score: 1674.9696, mean_absolute_error: 0.0049, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9902, predictive_accuracy: 0.9902, prior_entropy: 1.2099, recall: 0.9902, relative_absolute_error: 0.0215, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0701, root_relative_squared_error: 0.2074, scimark_benchmark: 914.1182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, build_cpu_time: 15.2721, build_memory: 1336428237.4954, f_measure: 0.9931, kappa: 0.9848, kb_relative_information_score: 1694.2585, mean_absolute_error: 0.0033, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 1.2099, recall: 0.9931, relative_absolute_error: 0.0144, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0557, root_relative_squared_error: 0.1646, scimark_benchmark: 926.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, build_cpu_time: 7.8236, build_memory: 1010550657.2593, f_measure: 0.9913, kappa: 0.981, kb_relative_information_score: 1684.2486, mean_absolute_error: 0.0045, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9913, predictive_accuracy: 0.9913, prior_entropy: 1.2099, recall: 0.9913, relative_absolute_error: 0.0197, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0648, root_relative_squared_error: 0.1918, scimark_benchmark: 941.9018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, build_cpu_time: 3.84, build_memory: 776423926.4213, f_measure: 0.9879, kappa: 0.9734, kb_relative_information_score: 1666.3841, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9879, predictive_accuracy: 0.9878, prior_entropy: 1.2099, recall: 0.9878, relative_absolute_error: 0.0284, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0749, root_relative_squared_error: 0.2215, scimark_benchmark: 913.4921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, build_cpu_time: 0.0096, build_memory: 1070793586.7407, f_measure: 0.9387, kappa: 0.8731, kb_relative_information_score: 1213.6381, mean_absolute_error: 0.0891, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9432, predictive_accuracy: 0.9421, prior_entropy: 1.2099, recall: 0.9421, relative_absolute_error: 0.389, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1797, root_relative_squared_error: 0.5314, scimark_benchmark: 912.1058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, build_cpu_time: 0.0024, build_memory: 207160924.213, f_measure: 0.9053, kappa: 0.8012, kb_relative_information_score: 1127.0336, mean_absolute_error: 0.0992, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9097, predictive_accuracy: 0.9109, prior_entropy: 1.2099, recall: 0.9109, relative_absolute_error: 0.4333, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2015, root_relative_squared_error: 0.5959, scimark_benchmark: 912.1058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, build_cpu_time: 0.112, build_memory: 659788959.713, f_measure: 0.955, kappa: 0.9026, kb_relative_information_score: 1295.6528, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.956, predictive_accuracy: 0.9549, prior_entropy: 1.2099, recall: 0.9549, relative_absolute_error: 0.336, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1605, root_relative_squared_error: 0.4747, scimark_benchmark: 943.1817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9566, build_cpu_time: 0.2476, build_memory: 649808567.5648, f_measure: 0.8917, kappa: 0.7684, kb_relative_information_score: 1195.3368, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9011, predictive_accuracy: 0.8883, prior_entropy: 1.2099, recall: 0.8883, relative_absolute_error: 0.3225, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2104, root_relative_squared_error: 0.6224, scimark_benchmark: 936.8525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, build_cpu_time: 0.0014, build_memory: 78258848.5509, f_measure: 0.923, kappa: 0.8514, kb_relative_information_score: 1092.5099, mean_absolute_error: 0.1119, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9395, predictive_accuracy: 0.9346, prior_entropy: 1.2099, recall: 0.9346, relative_absolute_error: 0.4886, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.5773, scimark_benchmark: 875.7999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8754, build_cpu_time: 1.2611, build_memory: 666581779.5694, f_measure: 0.8156, kappa: 0.6452, kb_relative_information_score: -205.3666, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.7959, predictive_accuracy: 0.8426, prior_entropy: 1.2099, recall: 0.8426, relative_absolute_error: 1.1794, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3425, root_relative_squared_error: 1.0129, scimark_benchmark: 915.7861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, build_cpu_time: 0.2223, build_memory: 354110631.5833, f_measure: 0.9385, kappa: 0.8664, kb_relative_information_score: -5.2506, mean_absolute_error: 0.2558, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9393, predictive_accuracy: 0.9381, prior_entropy: 1.2099, recall: 0.9381, relative_absolute_error: 1.1173, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.9467, scimark_benchmark: 935.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, build_cpu_time: 0.2846, build_memory: 655131910.2407, f_measure: 0.9344, kappa: 0.8569, kb_relative_information_score: 1458.5453, mean_absolute_error: 0.0425, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.935, predictive_accuracy: 0.934, prior_entropy: 1.2099, recall: 0.934, relative_absolute_error: 0.1857, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1511, root_relative_squared_error: 0.4468, scimark_benchmark: 908.7121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, build_cpu_time: 0.0055, build_memory: 28074093.25, f_measure: 0.8449, kappa: 0.6648, kb_relative_information_score: 1002.0086, mean_absolute_error: 0.114, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8496, predictive_accuracy: 0.8536, prior_entropy: 1.2099, recall: 0.8536, relative_absolute_error: 0.4979, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2268, root_relative_squared_error: 0.6708, scimark_benchmark: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, build_cpu_time: 0.0319, build_memory: 437248952.9537, f_measure: 0.9258, kappa: 0.839, kb_relative_information_score: 1371.6632, mean_absolute_error: 0.0594, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9275, predictive_accuracy: 0.9253, prior_entropy: 1.2099, recall: 0.9253, relative_absolute_error: 0.2595, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1636, root_relative_squared_error: 0.484, scimark_benchmark: 930.1524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8703, build_cpu_time: 0.0232, build_memory: 279914275.9306, f_measure: 0.5768, kb_relative_information_score: -268.1323, mean_absolute_error: 0.2752, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.2017, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.989, scimark_benchmark: 945.4151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8703, build_cpu_time: 0.0231, build_memory: 77864380.4815, f_measure: 0.5768, kb_relative_information_score: -268.1323, mean_absolute_error: 0.2752, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.2017, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.989, scimark_benchmark: 945.1122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.0008, build_memory: 496272913.5741, f_measure: 0.5768, kb_relative_information_score: 394.7627, mean_absolute_error: 0.1499, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.6546, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3871, root_relative_squared_error: 1.145, scimark_benchmark: 947.5974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.0005, build_memory: 1021318127.3657, f_measure: 0.5768, kb_relative_information_score: 394.7627, mean_absolute_error: 0.1499, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.6546, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3871, root_relative_squared_error: 1.145, scimark_benchmark: 943.4022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.0008, build_memory: 379095914.3056, f_measure: 0.5768, kb_relative_information_score: 394.7627, mean_absolute_error: 0.1499, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.6546, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3871, root_relative_squared_error: 1.145, scimark_benchmark: 946.5615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, build_cpu_time: 0.5258, build_memory: 230839179.2269, f_measure: 0.9367, kappa: 0.8619, kb_relative_information_score: 1282.9492, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9376, predictive_accuracy: 0.9363, prior_entropy: 1.2099, recall: 0.9363, relative_absolute_error: 0.3278, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1729, root_relative_squared_error: 0.5113, scimark_benchmark: 943.8078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, build_cpu_time: 2.069, build_memory: 272412463.4491, f_measure: 0.9375, kappa: 0.8644, kb_relative_information_score: -11.5108, mean_absolute_error: 0.2566, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9382, predictive_accuracy: 0.9375, prior_entropy: 1.2099, recall: 0.9375, relative_absolute_error: 1.1205, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3195, root_relative_squared_error: 0.9451, scimark_benchmark: 928.8874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, build_cpu_time: 4.9383, build_memory: 2577253008.6667, f_measure: 0.9407, kappa: 0.8712, kb_relative_information_score: -10.5571, mean_absolute_error: 0.2566, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9417, predictive_accuracy: 0.9404, prior_entropy: 1.2099, recall: 0.9404, relative_absolute_error: 1.1204, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3193, root_relative_squared_error: 0.9443, scimark_benchmark: 947.7504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, build_cpu_time: 4.2164, build_memory: 576125796.8843, f_measure: 0.9407, kappa: 0.8712, kb_relative_information_score: -10.5571, mean_absolute_error: 0.2566, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9417, predictive_accuracy: 0.9404, prior_entropy: 1.2099, recall: 0.9404, relative_absolute_error: 1.1204, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3193, root_relative_squared_error: 0.9443, scimark_benchmark: 933.5169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, build_cpu_time: 8.4412, build_memory: 303526642.7083, f_measure: 0.9408, kappa: 0.8713, kb_relative_information_score: -11.2234, mean_absolute_error: 0.2566, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9417, predictive_accuracy: 0.9404, prior_entropy: 1.2099, recall: 0.9404, relative_absolute_error: 1.1206, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3193, root_relative_squared_error: 0.9445, scimark_benchmark: 929.8923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, build_cpu_time: 28.3624, build_memory: 1729011633.3009, f_measure: 0.9403, kappa: 0.8704, kb_relative_information_score: -11.1345, mean_absolute_error: 0.2566, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9412, predictive_accuracy: 0.9398, prior_entropy: 1.2099, recall: 0.9398, relative_absolute_error: 1.1206, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3193, root_relative_squared_error: 0.9443, scimark_benchmark: 902.5808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, build_cpu_time: 0.3532, build_memory: 243074420.5833, f_measure: 0.927, kappa: 0.8433, kb_relative_information_score: 1356.2644, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9305, predictive_accuracy: 0.9271, prior_entropy: 1.2099, recall: 0.9271, relative_absolute_error: 0.2729, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.166, root_relative_squared_error: 0.4909, scimark_benchmark: 944.9156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, build_cpu_time: 0.1967, build_memory: 1822084480.9444, f_measure: 0.922, kappa: 0.833, kb_relative_information_score: 1355.5516, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9249, predictive_accuracy: 0.9225, prior_entropy: 1.2099, recall: 0.9225, relative_absolute_error: 0.2725, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1662, root_relative_squared_error: 0.4916, scimark_benchmark: 947.4258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, build_cpu_time: 0.2409, build_memory: 503368722.9444, f_measure: 0.9481, kappa: 0.8876, kb_relative_information_score: 1297.0781, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9491, predictive_accuracy: 0.9479, prior_entropy: 1.2099, recall: 0.9479, relative_absolute_error: 0.3354, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1602, root_relative_squared_error: 0.4738, scimark_benchmark: 917.0415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, build_cpu_time: 4.1948, build_memory: 1049609475.4444, f_measure: 0.9497, kappa: 0.8923, kb_relative_information_score: 1262.4201, mean_absolute_error: 0.083, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9514, predictive_accuracy: 0.9502, prior_entropy: 1.2099, recall: 0.9502, relative_absolute_error: 0.3623, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1654, root_relative_squared_error: 0.4893, scimark_benchmark: 939.4881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, build_cpu_time: 1.976, build_memory: 831374133.4352, f_measure: 0.9482, kappa: 0.8886, kb_relative_information_score: 1263.8329, mean_absolute_error: 0.0827, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9494, predictive_accuracy: 0.9485, prior_entropy: 1.2099, recall: 0.9485, relative_absolute_error: 0.361, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1654, root_relative_squared_error: 0.4892, scimark_benchmark: 925.2506,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5553, f_measure: 0.5768, kb_relative_information_score: 392.2551, mean_absolute_error: 0.1505, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.6572, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3837, root_relative_squared_error: 1.1349, scimark_benchmark: 595.6985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.5768, kb_relative_information_score: 663.018, mean_absolute_error: 0.1377, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.6014, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2662, root_relative_squared_error: 0.7873, scimark_benchmark: 946.4352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9943, kappa: 0.9874, kb_relative_information_score: 1689.6878, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9944, predictive_accuracy: 0.9942, prior_entropy: 1.2099, recall: 0.9942, relative_absolute_error: 0.0251, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0553, root_relative_squared_error: 0.1635, scimark_benchmark: 949.162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9948, kappa: 0.9886, kb_relative_information_score: 1698.1304, mean_absolute_error: 0.0027, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9948, predictive_accuracy: 0.9948, prior_entropy: 1.2099, recall: 0.9948, relative_absolute_error: 0.0118, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0496, root_relative_squared_error: 0.1468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9812, kappa: 0.9588, kb_relative_information_score: 1604.319, mean_absolute_error: 0.0212, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9817, predictive_accuracy: 0.9809, prior_entropy: 1.2099, recall: 0.9809, relative_absolute_error: 0.0925, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0885, root_relative_squared_error: 0.2617, scimark_benchmark: 596.2592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9641, kappa: 0.9222, kb_relative_information_score: 1569.369, mean_absolute_error: 0.0182, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9646, predictive_accuracy: 0.9641, prior_entropy: 1.2099, recall: 0.9641, relative_absolute_error: 0.0794, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1261, root_relative_squared_error: 0.3731, scimark_benchmark: 634.7409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9687, f_measure: 0.5768, kb_relative_information_score: 662.8748, mean_absolute_error: 0.1379, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.6021, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2663, root_relative_squared_error: 0.7877, scimark_benchmark: 893.6555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9059, f_measure: 0.6723, kappa: 0.26, kb_relative_information_score: 436.903, mean_absolute_error: 0.1946, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.6405, predictive_accuracy: 0.7413, prior_entropy: 1.2099, recall: 0.7413, relative_absolute_error: 0.8497, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.274, root_relative_squared_error: 0.8104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9709, kappa: 0.9372, kb_relative_information_score: 1584.9401, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9715, predictive_accuracy: 0.9711, prior_entropy: 1.2099, recall: 0.9711, relative_absolute_error: 0.0638, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1198, root_relative_squared_error: 0.3544, scimark_benchmark: 817.1074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9943, kappa: 0.9874, kb_relative_information_score: 1689.6878, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9944, predictive_accuracy: 0.9942, prior_entropy: 1.2099, recall: 0.9942, relative_absolute_error: 0.0251, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0553, root_relative_squared_error: 0.1635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8721, f_measure: 0.5768, kb_relative_information_score: 265.845, mean_absolute_error: 0.194, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.8472, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3001, root_relative_squared_error: 0.8875, scimark_benchmark: 898.3782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.825, f_measure: 0.6994, kappa: 0.3242, kb_relative_information_score: -27.5986, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.6684, predictive_accuracy: 0.7477, prior_entropy: 1.2099, recall: 0.7477, relative_absolute_error: 1.041, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3192, root_relative_squared_error: 0.9441, scimark_benchmark: 947.3504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9276, kappa: 0.8431, kb_relative_information_score: 1420.9858, mean_absolute_error: 0.0359, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9286, predictive_accuracy: 0.9277, prior_entropy: 1.2099, recall: 0.9277, relative_absolute_error: 0.1566, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1745, root_relative_squared_error: 0.5162, scimark_benchmark: 917.4619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.923, kappa: 0.8514, kb_relative_information_score: 1092.5099, mean_absolute_error: 0.1119, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9395, predictive_accuracy: 0.9346, prior_entropy: 1.2099, recall: 0.9346, relative_absolute_error: 0.4886, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.5773, scimark_benchmark: 920.6561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9948, kappa: 0.9886, kb_relative_information_score: 1655.5767, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9951, predictive_accuracy: 0.9948, prior_entropy: 1.2099, recall: 0.9948, relative_absolute_error: 0.0579, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0565, root_relative_squared_error: 0.167, scimark_benchmark: 908.7241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9856, kappa: 0.9684, kb_relative_information_score: 1659.1375, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9856, predictive_accuracy: 0.9855, prior_entropy: 1.2099, recall: 0.9855, relative_absolute_error: 0.0341, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0846, root_relative_squared_error: 0.2502, scimark_benchmark: 875.2519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.8506, kappa: 0.6753, kb_relative_information_score: 1015.2768, mean_absolute_error: 0.1121, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8534, predictive_accuracy: 0.8571, prior_entropy: 1.2099, recall: 0.8571, relative_absolute_error: 0.4895, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2266, root_relative_squared_error: 0.6701, scimark_benchmark: 945.2798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8721, f_measure: 0.5768, kb_relative_information_score: 367.9153, mean_absolute_error: 0.1572, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.6865, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3155, root_relative_squared_error: 0.9332, scimark_benchmark: 855.5651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.899, kappa: 0.7794, kb_relative_information_score: 1311.1126, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8995, predictive_accuracy: 0.8993, prior_entropy: 1.2099, recall: 0.8993, relative_absolute_error: 0.2803, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.188, root_relative_squared_error: 0.5562, scimark_benchmark: 914.9472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8703, f_measure: 0.5768, kb_relative_information_score: -268.1323, mean_absolute_error: 0.2752, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.2017, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.989, scimark_benchmark: 897.6627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9913, kappa: 0.981, kb_relative_information_score: 1684.2486, mean_absolute_error: 0.0045, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9913, predictive_accuracy: 0.9913, prior_entropy: 1.2099, recall: 0.9913, relative_absolute_error: 0.0197, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0648, root_relative_squared_error: 0.1918, scimark_benchmark: 944.0803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9782, kappa: 0.9523, kb_relative_information_score: 1597.3934, mean_absolute_error: 0.0218, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9785, predictive_accuracy: 0.978, prior_entropy: 1.2099, recall: 0.978, relative_absolute_error: 0.0951, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.096, root_relative_squared_error: 0.2838, scimark_benchmark: 947.2765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9522, kappa: 0.8974, kb_relative_information_score: 1259.9938, mean_absolute_error: 0.0834, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9538, predictive_accuracy: 0.9525, prior_entropy: 1.2099, recall: 0.9525, relative_absolute_error: 0.3641, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1659, root_relative_squared_error: 0.4907, scimark_benchmark: 929.6367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.927, kappa: 0.8433, kb_relative_information_score: 1356.2644, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9305, predictive_accuracy: 0.9271, prior_entropy: 1.2099, recall: 0.9271, relative_absolute_error: 0.2729, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.166, root_relative_squared_error: 0.4909, scimark_benchmark: 944.7562,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.899, kappa: 0.7794, kb_relative_information_score: 1311.1126, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8995, predictive_accuracy: 0.8993, prior_entropy: 1.2099, recall: 0.8993, relative_absolute_error: 0.2803, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.188, root_relative_squared_error: 0.5562, scimark_benchmark: 916.7367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9296, kappa: 0.8606, kb_relative_information_score: 1087.2144, mean_absolute_error: 0.1121, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9405, predictive_accuracy: 0.9381, prior_entropy: 1.2099, recall: 0.9381, relative_absolute_error: 0.4895, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1971, root_relative_squared_error: 0.5831, scimark_benchmark: 942.5439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9832, kappa: 0.9634, kb_relative_information_score: 1586.6719, mean_absolute_error: 0.0249, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9833, predictive_accuracy: 0.9832, prior_entropy: 1.2099, recall: 0.9832, relative_absolute_error: 0.1088, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0901, root_relative_squared_error: 0.2665, scimark_benchmark: 946.908,

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

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Download this task directly in your environment and automatically upload your results

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

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