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Severity: Warning

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Backtrace:

File: /var/www/openml/openml_OS/models/Log.php
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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

Message: fopen(/data/log/sql.log): failed to open stream: Permission denied

Filename: models/Log.php

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Backtrace:

File: /var/www/openml/openml_OS/models/Log.php
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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: loadpage

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

OpenML
Task
Supervised Classification on kc1

Supervised Classification on kc1

Task 3917 Supervised Classification kc1 158595 runs submitted
0 likes downloaded by 1 people , 1 total downloads 0 issues
Visibility: Public
  • mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_218 study_41 study_7 study_98 study_99 under100k under1m
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Metric:

158595 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7826, build_cpu_time: 1.2492, build_memory: 880166516.7681, f_measure: 0.8323, kappa: 0.2986, kb_relative_information_score: 220.6535, mean_absolute_error: 0.1965, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8273, predictive_accuracy: 0.8521, prior_entropy: 0.622, recall: 0.8521, relative_absolute_error: 0.7511, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3393, root_relative_squared_error: 0.9387, scimark_benchmark: 917.4547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7411, build_cpu_time: 0.6884, build_memory: 529126007.1807, f_measure: 0.8299, kappa: 0.3174, kb_relative_information_score: 416.7088, mean_absolute_error: 0.1697, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8238, predictive_accuracy: 0.8393, prior_entropy: 0.622, recall: 0.8393, relative_absolute_error: 0.6487, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3733, root_relative_squared_error: 1.0326, scimark_benchmark: 930.5854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.741, build_cpu_time: 0.7617, build_memory: 1497521765.322, f_measure: 0.8299, kappa: 0.3174, kb_relative_information_score: 417.7067, mean_absolute_error: 0.1696, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8238, predictive_accuracy: 0.8393, prior_entropy: 0.622, recall: 0.8393, relative_absolute_error: 0.6483, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3733, root_relative_squared_error: 1.0325, scimark_benchmark: 890.3066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7411, build_cpu_time: 0.8815, build_memory: 1650258173.0413, f_measure: 0.8299, kappa: 0.3174, kb_relative_information_score: 417.8023, mean_absolute_error: 0.1696, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8238, predictive_accuracy: 0.8393, prior_entropy: 0.622, recall: 0.8393, relative_absolute_error: 0.6483, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3733, root_relative_squared_error: 1.0325, scimark_benchmark: 890.3066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7411, build_cpu_time: 0.8533, build_memory: 909322684.4533, f_measure: 0.8299, kappa: 0.3174, kb_relative_information_score: 417.8172, mean_absolute_error: 0.1696, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8238, predictive_accuracy: 0.8393, prior_entropy: 0.622, recall: 0.8393, relative_absolute_error: 0.6483, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3733, root_relative_squared_error: 1.0325, scimark_benchmark: 923.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7411, build_cpu_time: 0.7481, build_memory: 156674964.0019, f_measure: 0.8299, kappa: 0.3174, kb_relative_information_score: 417.8172, mean_absolute_error: 0.1696, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8238, predictive_accuracy: 0.8393, prior_entropy: 0.622, recall: 0.8393, relative_absolute_error: 0.6483, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3733, root_relative_squared_error: 1.0325, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6337, build_cpu_time: 134.3216, build_memory: 2663935588.8326, f_measure: 0.8325, kappa: 0.3398, kb_relative_information_score: 444.5836, mean_absolute_error: 0.1692, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8282, predictive_accuracy: 0.8378, prior_entropy: 0.622, recall: 0.8378, relative_absolute_error: 0.647, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.4018, root_relative_squared_error: 1.1113, scimark_benchmark: 931.9671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6337, build_cpu_time: 58.2305, build_memory: 566148652.0967, f_measure: 0.8326, kappa: 0.3391, kb_relative_information_score: 444.6404, mean_absolute_error: 0.1692, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8281, predictive_accuracy: 0.8383, prior_entropy: 0.622, recall: 0.8383, relative_absolute_error: 0.647, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.4017, root_relative_squared_error: 1.1113, scimark_benchmark: 919.8064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6375, build_cpu_time: 29.476, build_memory: 535895668.9806, f_measure: 0.8314, kappa: 0.3335, kb_relative_information_score: 444.2365, mean_absolute_error: 0.1693, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8267, predictive_accuracy: 0.8374, prior_entropy: 0.622, recall: 0.8374, relative_absolute_error: 0.647, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.4018, root_relative_squared_error: 1.1114, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7874, build_cpu_time: 1.1696, build_memory: 221900357.2157, f_measure: 0.8161, kappa: 0.2031, kb_relative_information_score: 35.1124, mean_absolute_error: 0.2135, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8211, predictive_accuracy: 0.8525, prior_entropy: 0.622, recall: 0.8525, relative_absolute_error: 0.816, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.331, root_relative_squared_error: 0.9156, scimark_benchmark: 934.2858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7614, build_cpu_time: 13.0917, build_memory: 1651074138.3974, f_measure: 0.8339, kappa: 0.3293, kb_relative_information_score: 484.5654, mean_absolute_error: 0.1643, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8277, predictive_accuracy: 0.8445, prior_entropy: 0.622, recall: 0.8445, relative_absolute_error: 0.6281, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3716, root_relative_squared_error: 1.0279, scimark_benchmark: 939.7798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7645, build_cpu_time: 6.9163, build_memory: 829880946.9246, f_measure: 0.8307, kappa: 0.3187, kb_relative_information_score: 457.9297, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8244, predictive_accuracy: 0.8407, prior_entropy: 0.622, recall: 0.8407, relative_absolute_error: 0.6373, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3725, root_relative_squared_error: 1.0305, scimark_benchmark: 919.5281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.762, build_cpu_time: 3.583, build_memory: 735927632.0114, f_measure: 0.8318, kappa: 0.3263, kb_relative_information_score: 435.6175, mean_absolute_error: 0.1696, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8259, predictive_accuracy: 0.8407, prior_entropy: 0.622, recall: 0.8407, relative_absolute_error: 0.6483, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3739, root_relative_squared_error: 1.0342, scimark_benchmark: 930.7694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3957, build_cpu_time: 0.2336, build_memory: 721530309.1361, f_measure: 0.6731, kappa: -0.1687, kb_relative_information_score: -2065.6026, mean_absolute_error: 0.3888, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.6933, predictive_accuracy: 0.6543, prior_entropy: 0.622, recall: 0.6543, relative_absolute_error: 1.4864, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.5524, root_relative_squared_error: 1.528, scimark_benchmark: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7841, build_cpu_time: 1.5374, build_memory: 349948176.1973, f_measure: 0.8287, kappa: 0.265, kb_relative_information_score: 171.11, mean_absolute_error: 0.2007, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8327, predictive_accuracy: 0.8582, prior_entropy: 0.622, recall: 0.8582, relative_absolute_error: 0.7672, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3358, root_relative_squared_error: 0.9289, scimark_benchmark: 945.384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8049, build_cpu_time: 0.0688, build_memory: 457050070.6344, f_measure: 0.8249, kappa: 0.2491, kb_relative_information_score: 289.1527, mean_absolute_error: 0.1916, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8267, predictive_accuracy: 0.8549, prior_entropy: 0.622, recall: 0.8549, relative_absolute_error: 0.7323, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3309, root_relative_squared_error: 0.9153, scimark_benchmark: 892.0716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7806, build_cpu_time: 0.026, build_memory: 1583007275.5922, f_measure: 0.818, kappa: 0.223, kb_relative_information_score: 143.5521, mean_absolute_error: 0.2025, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8142, predictive_accuracy: 0.8473, prior_entropy: 0.622, recall: 0.8473, relative_absolute_error: 0.7741, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3373, root_relative_squared_error: 0.9331, scimark_benchmark: 933.9469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8301, build_cpu_time: 0.7796, build_memory: 549167339.266, f_measure: 0.8486, kappa: 0.3687, kb_relative_information_score: 254.8624, mean_absolute_error: 0.1887, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.847, predictive_accuracy: 0.8658, prior_entropy: 0.622, recall: 0.8658, relative_absolute_error: 0.7215, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.32, root_relative_squared_error: 0.8851, scimark_benchmark: 943.7068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6262, build_cpu_time: 0.1665, build_memory: 74425800.0076, f_measure: 0.8283, kappa: 0.2818, kb_relative_information_score: 177.759, mean_absolute_error: 0.2325, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8225, predictive_accuracy: 0.8487, prior_entropy: 0.622, recall: 0.8487, relative_absolute_error: 0.8889, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3468, root_relative_squared_error: 0.9594, scimark_benchmark: 941.754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7328, build_cpu_time: 0.0006, build_memory: 547605106.3291, f_measure: 0.8318, kappa: 0.3338, kb_relative_information_score: 446.8798, mean_absolute_error: 0.1692, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.827, predictive_accuracy: 0.8383, prior_entropy: 0.622, recall: 0.8383, relative_absolute_error: 0.6467, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.4011, root_relative_squared_error: 1.1096, scimark_benchmark: 915.0385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 1.5634, build_memory: 402593389.7013, f_measure: 0.7746, kb_relative_information_score: 568.7939, mean_absolute_error: 0.1546, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.7147, predictive_accuracy: 0.8454, prior_entropy: 0.622, recall: 0.8454, relative_absolute_error: 0.5909, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3932, root_relative_squared_error: 1.0876, scimark_benchmark: 906.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.518, build_cpu_time: 0.285, build_memory: 167945993.6463, f_measure: 0.7872, kappa: 0.0583, kb_relative_information_score: 597.0913, mean_absolute_error: 0.1517, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8192, predictive_accuracy: 0.8483, prior_entropy: 0.622, recall: 0.8483, relative_absolute_error: 0.58, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3895, root_relative_squared_error: 1.0775, scimark_benchmark: 928.1083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.551, build_cpu_time: 0.1745, build_memory: 398562209.7297, f_measure: 0.8078, kappa: 0.1557, kb_relative_information_score: 667.8347, mean_absolute_error: 0.1446, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8354, predictive_accuracy: 0.8554, prior_entropy: 0.622, recall: 0.8554, relative_absolute_error: 0.5528, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3803, root_relative_squared_error: 1.052, scimark_benchmark: 926.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7973, build_cpu_time: 0.0797, build_memory: 138041244.3547, f_measure: 0.8264, kappa: 0.2552, kb_relative_information_score: 148.8728, mean_absolute_error: 0.2087, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8293, predictive_accuracy: 0.8563, prior_entropy: 0.622, recall: 0.8563, relative_absolute_error: 0.7979, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.9078, scimark_benchmark: 926.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7364, build_cpu_time: 0.0102, build_memory: 177777192.1555, f_measure: 0.8188, kappa: 0.2895, kb_relative_information_score: 357.0016, mean_absolute_error: 0.1754, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8147, predictive_accuracy: 0.8236, prior_entropy: 0.622, recall: 0.8236, relative_absolute_error: 0.6704, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.4131, root_relative_squared_error: 1.1427, scimark_benchmark: 942.4411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7364, build_cpu_time: 0.0095, build_memory: 28779425.3239, f_measure: 0.8188, kappa: 0.2895, kb_relative_information_score: 357.0016, mean_absolute_error: 0.1754, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8147, predictive_accuracy: 0.8236, prior_entropy: 0.622, recall: 0.8236, relative_absolute_error: 0.6704, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.4131, root_relative_squared_error: 1.1427, scimark_benchmark: 941.5899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7364, build_cpu_time: 0.0099, build_memory: 204214910.6534, f_measure: 0.8188, kappa: 0.2895, kb_relative_information_score: 357.0016, mean_absolute_error: 0.1754, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8147, predictive_accuracy: 0.8236, prior_entropy: 0.622, recall: 0.8236, relative_absolute_error: 0.6704, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.4131, root_relative_squared_error: 1.1427, scimark_benchmark: 945.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8125, build_cpu_time: 0.2283, build_memory: 840869751.6472, f_measure: 0.831, kappa: 0.282, kb_relative_information_score: 168.8927, mean_absolute_error: 0.203, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8304, predictive_accuracy: 0.8563, prior_entropy: 0.622, recall: 0.8563, relative_absolute_error: 0.7762, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3252, root_relative_squared_error: 0.8996, scimark_benchmark: 934.4754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6761, build_cpu_time: 0.0898, build_memory: 925713077.872, f_measure: 0.8198, kappa: 0.2495, kb_relative_information_score: 188.1205, mean_absolute_error: 0.2094, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8115, predictive_accuracy: 0.8397, prior_entropy: 0.622, recall: 0.8397, relative_absolute_error: 0.8004, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.369, root_relative_squared_error: 1.0207, scimark_benchmark: 938.2445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6761, build_cpu_time: 0.0908, build_memory: 512491065.7108, f_measure: 0.8198, kappa: 0.2495, kb_relative_information_score: 188.1205, mean_absolute_error: 0.2094, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8115, predictive_accuracy: 0.8397, prior_entropy: 0.622, recall: 0.8397, relative_absolute_error: 0.8004, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.369, root_relative_squared_error: 1.0207, scimark_benchmark: 945.6567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, build_cpu_time: 0.0004, build_memory: 434403775.7686, f_measure: 0.7746, kb_relative_information_score: -2.5866, mean_absolute_error: 0.2616, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.7147, predictive_accuracy: 0.8454, prior_entropy: 0.622, recall: 0.8454, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3615, root_relative_squared_error: 1, scimark_benchmark: 922.5645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7364, build_cpu_time: 0.01, build_memory: 161675981.0678, f_measure: 0.8188, kappa: 0.2895, kb_relative_information_score: 357.0016, mean_absolute_error: 0.1754, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8147, predictive_accuracy: 0.8236, prior_entropy: 0.622, recall: 0.8236, relative_absolute_error: 0.6704, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.4131, root_relative_squared_error: 1.1427, scimark_benchmark: 922.2602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.414, build_cpu_time: 0.099, build_memory: 217066021.6975, f_measure: 0.6862, kappa: -0.1616, kb_relative_information_score: -1110.1828, mean_absolute_error: 0.3234, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.6961, predictive_accuracy: 0.6766, prior_entropy: 0.622, recall: 0.6766, relative_absolute_error: 1.2362, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.5687, root_relative_squared_error: 1.5731, scimark_benchmark: 933.1047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.414, build_cpu_time: 0.1466, build_memory: 248314006.1679, f_measure: 0.6862, kappa: -0.1616, kb_relative_information_score: -1110.1828, mean_absolute_error: 0.3234, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.6961, predictive_accuracy: 0.6766, prior_entropy: 0.622, recall: 0.6766, relative_absolute_error: 1.2362, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.5687, root_relative_squared_error: 1.5731, scimark_benchmark: 932.8271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.414, build_cpu_time: 0.1475, build_memory: 2355181288.9142, f_measure: 0.6862, kappa: -0.1616, kb_relative_information_score: -1110.1828, mean_absolute_error: 0.3234, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.6961, predictive_accuracy: 0.6766, prior_entropy: 0.622, recall: 0.6766, relative_absolute_error: 1.2362, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.5687, root_relative_squared_error: 1.5731, scimark_benchmark: 941.9153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.581, build_cpu_time: 2.0309, build_memory: 115608201.6159, f_measure: 0.8034, kappa: 0.1347, kb_relative_information_score: 680.8479, mean_absolute_error: 0.1447, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8311, predictive_accuracy: 0.8535, prior_entropy: 0.622, recall: 0.8535, relative_absolute_error: 0.553, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3717, root_relative_squared_error: 1.0282, scimark_benchmark: 904.8754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.581, build_cpu_time: 2.0219, build_memory: 187262953.669, f_measure: 0.8034, kappa: 0.1347, kb_relative_information_score: 680.8479, mean_absolute_error: 0.1447, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8311, predictive_accuracy: 0.8535, prior_entropy: 0.622, recall: 0.8535, relative_absolute_error: 0.553, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3717, root_relative_squared_error: 1.0282, scimark_benchmark: 931.4894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5669, build_cpu_time: 2.5167, build_memory: 1488189439.1731, f_measure: 0.7924, kappa: 0.0824, kb_relative_information_score: 624.221, mean_absolute_error: 0.1498, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8318, predictive_accuracy: 0.8506, prior_entropy: 0.622, recall: 0.8506, relative_absolute_error: 0.5726, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3801, root_relative_squared_error: 1.0513, scimark_benchmark: 943.4668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5689, build_cpu_time: 4.9248, build_memory: 99945442.9929, f_measure: 0.7934, kappa: 0.0871, kb_relative_information_score: 617.5066, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8338, predictive_accuracy: 0.8511, prior_entropy: 0.622, recall: 0.8511, relative_absolute_error: 0.5736, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3816, root_relative_squared_error: 1.0557, scimark_benchmark: 916.7338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5699, build_cpu_time: 10.0283, build_memory: 645944030.9986, f_measure: 0.7924, kappa: 0.0824, kb_relative_information_score: 617.598, mean_absolute_error: 0.1503, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8318, predictive_accuracy: 0.8506, prior_entropy: 0.622, recall: 0.8506, relative_absolute_error: 0.5746, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3816, root_relative_squared_error: 1.0557, scimark_benchmark: 927.8402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5714, build_cpu_time: 19.8366, build_memory: 628477183.0327, f_measure: 0.7924, kappa: 0.0824, kb_relative_information_score: 614.6011, mean_absolute_error: 0.1506, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8318, predictive_accuracy: 0.8506, prior_entropy: 0.622, recall: 0.8506, relative_absolute_error: 0.5758, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3821, root_relative_squared_error: 1.0569, scimark_benchmark: 946.5993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5755, build_cpu_time: 39.3662, build_memory: 1474796370.7501, f_measure: 0.7934, kappa: 0.0871, kb_relative_information_score: 614.301, mean_absolute_error: 0.1506, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8338, predictive_accuracy: 0.8511, prior_entropy: 0.622, recall: 0.8511, relative_absolute_error: 0.5755, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3818, root_relative_squared_error: 1.0562, scimark_benchmark: 902.5808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8232, build_cpu_time: 4.3069, build_memory: 114683872.3717, f_measure: 0.8375, kappa: 0.3031, kb_relative_information_score: 181.5359, mean_absolute_error: 0.2037, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8458, predictive_accuracy: 0.8653, prior_entropy: 0.622, recall: 0.8653, relative_absolute_error: 0.7786, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3213, root_relative_squared_error: 0.8888, scimark_benchmark: 946.7087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8232, build_cpu_time: 3.127, build_memory: 516754209.2859, f_measure: 0.8375, kappa: 0.3031, kb_relative_information_score: 181.5359, mean_absolute_error: 0.2037, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8458, predictive_accuracy: 0.8653, prior_entropy: 0.622, recall: 0.8653, relative_absolute_error: 0.7786, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3213, root_relative_squared_error: 0.8888, scimark_benchmark: 938.8806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8225, build_cpu_time: 1.9965, build_memory: 927192679.9507, f_measure: 0.8345, kappa: 0.2908, kb_relative_information_score: 181.2773, mean_absolute_error: 0.2038, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8405, predictive_accuracy: 0.8625, prior_entropy: 0.622, recall: 0.8625, relative_absolute_error: 0.7791, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3219, root_relative_squared_error: 0.8905, scimark_benchmark: 943.4766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.82, build_cpu_time: 0.9787, build_memory: 2518269707.7174, f_measure: 0.8301, kappa: 0.2737, kb_relative_information_score: 181.6717, mean_absolute_error: 0.2033, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8321, predictive_accuracy: 0.8578, prior_entropy: 0.622, recall: 0.8578, relative_absolute_error: 0.7773, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3223, root_relative_squared_error: 0.8916, scimark_benchmark: 949.2096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8189, build_cpu_time: 0.5213, build_memory: 1154038395.2736, f_measure: 0.8329, kappa: 0.2892, kb_relative_information_score: 197.2097, mean_absolute_error: 0.2022, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8333, predictive_accuracy: 0.8582, prior_entropy: 0.622, recall: 0.8582, relative_absolute_error: 0.7731, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3228, root_relative_squared_error: 0.893, scimark_benchmark: 941.5201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8189, build_cpu_time: 0.552, build_memory: 841588905.0925, f_measure: 0.8329, kappa: 0.2892, kb_relative_information_score: 197.2097, mean_absolute_error: 0.2022, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8333, predictive_accuracy: 0.8582, prior_entropy: 0.622, recall: 0.8582, relative_absolute_error: 0.7731, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3228, root_relative_squared_error: 0.893, scimark_benchmark: 943.4766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8041, build_cpu_time: 0.1438, build_memory: 465711568.2769, f_measure: 0.8418, kappa: 0.3415, kb_relative_information_score: 252.0566, mean_absolute_error: 0.186, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8382, predictive_accuracy: 0.8592, prior_entropy: 0.622, recall: 0.8592, relative_absolute_error: 0.7109, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3286, root_relative_squared_error: 0.9089, scimark_benchmark: 941.5201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8041, build_cpu_time: 0.1562, build_memory: 1043060522.5225, f_measure: 0.8418, kappa: 0.3415, kb_relative_information_score: 252.0566, mean_absolute_error: 0.186, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8382, predictive_accuracy: 0.8592, prior_entropy: 0.622, recall: 0.8592, relative_absolute_error: 0.7109, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3286, root_relative_squared_error: 0.9089, scimark_benchmark: 919.2952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8268, build_cpu_time: 0.5274, build_memory: 886911904.0417, f_measure: 0.8438, kappa: 0.3519, kb_relative_information_score: 263.7008, mean_absolute_error: 0.1874, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8401, predictive_accuracy: 0.8601, prior_entropy: 0.622, recall: 0.8601, relative_absolute_error: 0.7165, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.8854, scimark_benchmark: 941.5201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8292, build_cpu_time: 0.9602, build_memory: 312242615.3362, f_measure: 0.8472, kappa: 0.363, kb_relative_information_score: 246.8314, mean_absolute_error: 0.1889, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8451, predictive_accuracy: 0.8644, prior_entropy: 0.622, recall: 0.8644, relative_absolute_error: 0.722, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3196, root_relative_squared_error: 0.8841, scimark_benchmark: 941.0866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8292, build_cpu_time: 0.8846, build_memory: 688431864.2124, f_measure: 0.8472, kappa: 0.363, kb_relative_information_score: 246.8314, mean_absolute_error: 0.1889, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8451, predictive_accuracy: 0.8644, prior_entropy: 0.622, recall: 0.8644, relative_absolute_error: 0.722, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3196, root_relative_squared_error: 0.8841, scimark_benchmark: 941.1383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8349, build_cpu_time: 114.7907, build_memory: 2031028530.0522, f_measure: 0.8469, kappa: 0.3537, kb_relative_information_score: 223.5241, mean_absolute_error: 0.1929, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8488, predictive_accuracy: 0.8677, prior_entropy: 0.622, recall: 0.8677, relative_absolute_error: 0.7375, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3177, root_relative_squared_error: 0.8788, scimark_benchmark: 927.2522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, build_cpu_time: 27.8459, build_memory: 856464305.0583, f_measure: 0.8457, kappa: 0.3515, kb_relative_information_score: 220.0352, mean_absolute_error: 0.1933, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8455, predictive_accuracy: 0.8653, prior_entropy: 0.622, recall: 0.8653, relative_absolute_error: 0.7388, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3183, root_relative_squared_error: 0.8805, scimark_benchmark: 935.2975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.833, build_cpu_time: 7.4321, build_memory: 2277701449.7828, f_measure: 0.8442, kappa: 0.3448, kb_relative_information_score: 224.8217, mean_absolute_error: 0.1924, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.844, predictive_accuracy: 0.8644, prior_entropy: 0.622, recall: 0.8644, relative_absolute_error: 0.7356, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3189, root_relative_squared_error: 0.8822, scimark_benchmark: 941.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.742, build_cpu_time: 0.0852, build_memory: 946533969.1835, f_measure: 0.8018, kappa: 0.1366, kb_relative_information_score: 365.9029, mean_absolute_error: 0.1743, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8008, predictive_accuracy: 0.8445, prior_entropy: 0.622, recall: 0.8445, relative_absolute_error: 0.6661, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3487, root_relative_squared_error: 0.9647, scimark_benchmark: 940.6012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.742, build_cpu_time: 0.06, build_memory: 1269910596.5595, f_measure: 0.8018, kappa: 0.1366, kb_relative_information_score: 365.9029, mean_absolute_error: 0.1743, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8008, predictive_accuracy: 0.8445, prior_entropy: 0.622, recall: 0.8445, relative_absolute_error: 0.6661, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3487, root_relative_squared_error: 0.9647, scimark_benchmark: 942.3187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.742, build_cpu_time: 0.0652, build_memory: 498330371.3988, f_measure: 0.8018, kappa: 0.1366, kb_relative_information_score: 365.9029, mean_absolute_error: 0.1743, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8008, predictive_accuracy: 0.8445, prior_entropy: 0.622, recall: 0.8445, relative_absolute_error: 0.6661, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3487, root_relative_squared_error: 0.9647, scimark_benchmark: 941.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7632, build_cpu_time: 0.1954, build_memory: 271574491.1674, f_measure: 0.8032, kappa: 0.1448, kb_relative_information_score: 393.8755, mean_absolute_error: 0.1733, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8009, predictive_accuracy: 0.844, prior_entropy: 0.622, recall: 0.844, relative_absolute_error: 0.6625, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3458, root_relative_squared_error: 0.9566, scimark_benchmark: 942.4281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8209, build_cpu_time: 3.4064, build_memory: 372616178.7994, f_measure: 0.8332, kappa: 0.2786, kb_relative_information_score: 198.3551, mean_absolute_error: 0.2097, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8482, predictive_accuracy: 0.8653, prior_entropy: 0.622, recall: 0.8653, relative_absolute_error: 0.8016, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.8854, scimark_benchmark: 910.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7921, build_cpu_time: 0.5549, build_memory: 633236838.6686, f_measure: 0.8062, kappa: 0.1574, kb_relative_information_score: 381.0889, mean_absolute_error: 0.175, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8074, predictive_accuracy: 0.8468, prior_entropy: 0.622, recall: 0.8468, relative_absolute_error: 0.6689, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3428, root_relative_squared_error: 0.9482, scimark_benchmark: 941.6532,
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: 0.8161, build_cpu_time: 0.839, build_memory: 249006131.5126, f_measure: 0.8315, kappa: 0.2736, kb_relative_information_score: 194.653, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8413, predictive_accuracy: 0.8625, prior_entropy: 0.622, recall: 0.8625, relative_absolute_error: 0.7956, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3209, root_relative_squared_error: 0.8877, scimark_benchmark: 943.2191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7609, build_cpu_time: 0.9955, build_memory: 897067029.4737, f_measure: 0.8177, kappa: 0.2875, kb_relative_information_score: 352.0731, mean_absolute_error: 0.1756, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8141, predictive_accuracy: 0.8217, prior_entropy: 0.622, recall: 0.8217, relative_absolute_error: 0.6714, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.4099, root_relative_squared_error: 1.1339, scimark_benchmark: 905.0866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7609, build_cpu_time: 1.0011, build_memory: 839266227.8957, f_measure: 0.8177, kappa: 0.2875, kb_relative_information_score: 352.0731, mean_absolute_error: 0.1756, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8141, predictive_accuracy: 0.8217, prior_entropy: 0.622, recall: 0.8217, relative_absolute_error: 0.6714, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.4099, root_relative_squared_error: 1.1339, scimark_benchmark: 947.3846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8006, build_cpu_time: 0.5985, build_memory: 73576265.0621, f_measure: 0.8281, kappa: 0.2652, kb_relative_information_score: 156.7945, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8296, predictive_accuracy: 0.8563, prior_entropy: 0.622, recall: 0.8563, relative_absolute_error: 0.7894, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.9078, scimark_benchmark: 946.8656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8006, build_cpu_time: 0.5294, build_memory: 126605712.1024, f_measure: 0.8281, kappa: 0.2652, kb_relative_information_score: 156.7945, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8296, predictive_accuracy: 0.8563, prior_entropy: 0.622, recall: 0.8563, relative_absolute_error: 0.7894, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.9078, scimark_benchmark: 935.778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8024, build_cpu_time: 581.4353, build_memory: 482521649.5021, f_measure: 0.8287, kappa: 0.265, kb_relative_information_score: 197.195, mean_absolute_error: 0.2027, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8327, predictive_accuracy: 0.8582, prior_entropy: 0.622, recall: 0.8582, relative_absolute_error: 0.775, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3252, root_relative_squared_error: 0.8997, scimark_benchmark: 941.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8025, build_cpu_time: 1382.2019, build_memory: 1878954347.1029, f_measure: 0.8275, kappa: 0.2588, kb_relative_information_score: 201.8688, mean_absolute_error: 0.2023, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8319, predictive_accuracy: 0.8578, prior_entropy: 0.622, recall: 0.8578, relative_absolute_error: 0.7733, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3252, root_relative_squared_error: 0.8997, scimark_benchmark: 941.5509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7856, build_cpu_time: 0.0768, build_memory: 2278076700.6392, f_measure: 0.7753, kappa: 0.0033, kb_relative_information_score: -190.0229, mean_absolute_error: 0.2293, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.7665, predictive_accuracy: 0.845, prior_entropy: 0.622, recall: 0.845, relative_absolute_error: 0.8767, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3357, root_relative_squared_error: 0.9285, scimark_benchmark: 821.7292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7865, build_cpu_time: 0.0416, build_memory: 109799481.9118, f_measure: 0.7764, kappa: 0.0084, kb_relative_information_score: -187.9324, mean_absolute_error: 0.2295, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.7926, predictive_accuracy: 0.8454, prior_entropy: 0.622, recall: 0.8454, relative_absolute_error: 0.8773, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3356, root_relative_squared_error: 0.9284, scimark_benchmark: 906.33,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8046, build_cpu_time: 23.2474, build_memory: 1164025428.1271, f_measure: 0.8406, kappa: 0.3447, kb_relative_information_score: 264.1594, mean_absolute_error: 0.1874, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8353, predictive_accuracy: 0.8549, prior_entropy: 0.622, recall: 0.8549, relative_absolute_error: 0.7163, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3254, root_relative_squared_error: 0.9001, scimark_benchmark: 902.3233,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8334, build_cpu_time: 193.8398, build_memory: 414776635.1636, f_measure: 0.8455, kappa: 0.3538, kb_relative_information_score: 266.5976, mean_absolute_error: 0.1892, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8439, predictive_accuracy: 0.8639, prior_entropy: 0.622, recall: 0.8639, relative_absolute_error: 0.7234, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3171, root_relative_squared_error: 0.8773, scimark_benchmark: 941.4059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8356, build_cpu_time: 399.3677, build_memory: 580994294.513, f_measure: 0.8461, kappa: 0.3593, kb_relative_information_score: 268.4016, mean_absolute_error: 0.1892, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8434, predictive_accuracy: 0.863, prior_entropy: 0.622, recall: 0.863, relative_absolute_error: 0.7234, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3158, root_relative_squared_error: 0.8736, scimark_benchmark: 944.2424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7824, build_cpu_time: 24.328, build_memory: 1531827245.7051, f_measure: 0.8274, kappa: 0.2575, kb_relative_information_score: 673.8732, mean_absolute_error: 0.1443, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8328, predictive_accuracy: 0.8582, prior_entropy: 0.622, recall: 0.8582, relative_absolute_error: 0.5516, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3647, root_relative_squared_error: 1.0087, scimark_benchmark: 946.1004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7966, build_cpu_time: 12.2648, build_memory: 1187748442.9777, f_measure: 0.8306, kappa: 0.2737, kb_relative_information_score: 660.4166, mean_absolute_error: 0.1458, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8354, predictive_accuracy: 0.8596, prior_entropy: 0.622, recall: 0.8596, relative_absolute_error: 0.5572, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3593, root_relative_squared_error: 0.9938, scimark_benchmark: 945.8914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7884, build_cpu_time: 7.2736, build_memory: 1153441019.5884, f_measure: 0.8186, kappa: 0.2129, kb_relative_information_score: 644.8273, mean_absolute_error: 0.1482, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8275, predictive_accuracy: 0.8554, prior_entropy: 0.622, recall: 0.8554, relative_absolute_error: 0.5667, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3675, root_relative_squared_error: 1.0167, scimark_benchmark: 941.9633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7881, build_cpu_time: 3.1256, build_memory: 51995215.4424, f_measure: 0.8177, kappa: 0.213, kb_relative_information_score: 604.4752, mean_absolute_error: 0.1523, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8204, predictive_accuracy: 0.8521, prior_entropy: 0.622, recall: 0.8521, relative_absolute_error: 0.5821, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3675, root_relative_squared_error: 1.0165, scimark_benchmark: 946.1004,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7774, build_cpu_time: 1.6378, build_memory: 122784770.2418, f_measure: 0.8081, kappa: 0.1683, kb_relative_information_score: 588.7513, mean_absolute_error: 0.1537, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8075, predictive_accuracy: 0.8464, prior_entropy: 0.622, recall: 0.8464, relative_absolute_error: 0.5876, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3747, root_relative_squared_error: 1.0365, scimark_benchmark: 945.0342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8006, build_cpu_time: 30.0358, build_memory: 1858392993.3808, f_measure: 0.8259, kappa: 0.2453, kb_relative_information_score: 210.8352, mean_absolute_error: 0.2136, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8389, predictive_accuracy: 0.8606, prior_entropy: 0.622, recall: 0.8606, relative_absolute_error: 0.8165, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3261, root_relative_squared_error: 0.9021, scimark_benchmark: 946.049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8082, build_cpu_time: 87.3778, build_memory: 1213484744.5842, f_measure: 0.8259, kappa: 0.2453, kb_relative_information_score: 216.3436, mean_absolute_error: 0.2134, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8389, predictive_accuracy: 0.8606, prior_entropy: 0.622, recall: 0.8606, relative_absolute_error: 0.8157, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3256, root_relative_squared_error: 0.9006, scimark_benchmark: 776.2482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, build_cpu_time: 9.683, build_memory: 968665252.5178, f_measure: 0.849, kappa: 0.3637, kb_relative_information_score: 287.6818, mean_absolute_error: 0.1922, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.851, predictive_accuracy: 0.8691, prior_entropy: 0.622, recall: 0.8691, relative_absolute_error: 0.7349, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3163, root_relative_squared_error: 0.875, scimark_benchmark: 942.238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, build_cpu_time: 9.3686, build_memory: 151627248.8838, f_measure: 0.849, kappa: 0.3637, kb_relative_information_score: 287.6818, mean_absolute_error: 0.1922, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.851, predictive_accuracy: 0.8691, prior_entropy: 0.622, recall: 0.8691, relative_absolute_error: 0.7349, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3163, root_relative_squared_error: 0.875, scimark_benchmark: 934.0338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, build_cpu_time: 9.1372, build_memory: 1049051174.8279, f_measure: 0.849, kappa: 0.3637, kb_relative_information_score: 287.6818, mean_absolute_error: 0.1922, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.851, predictive_accuracy: 0.8691, prior_entropy: 0.622, recall: 0.8691, relative_absolute_error: 0.7349, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3163, root_relative_squared_error: 0.875, scimark_benchmark: 947.1384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8344, build_cpu_time: 4.4564, build_memory: 895326576.4286, f_measure: 0.846, kappa: 0.3527, kb_relative_information_score: 285.4128, mean_absolute_error: 0.1923, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8461, predictive_accuracy: 0.8658, prior_entropy: 0.622, recall: 0.8658, relative_absolute_error: 0.7352, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3175, root_relative_squared_error: 0.8783, scimark_benchmark: 943.1156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8287, build_cpu_time: 2.8555, build_memory: 1830262488.9445, f_measure: 0.8392, kappa: 0.3232, kb_relative_information_score: 275.3262, mean_absolute_error: 0.1929, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8376, predictive_accuracy: 0.8601, prior_entropy: 0.622, recall: 0.8601, relative_absolute_error: 0.7373, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3196, root_relative_squared_error: 0.884, scimark_benchmark: 930.0991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8202, f_measure: 0.8428, kappa: 0.3399, kb_relative_information_score: 267.3732, mean_absolute_error: 0.1923, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8414, predictive_accuracy: 0.8625, prior_entropy: 0.622, recall: 0.8625, relative_absolute_error: 0.735, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3218, root_relative_squared_error: 0.8902,

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