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

OpenML
OpenML
Supervised Classification on grub-damage

Supervised Classification on grub-damage

Task 3888 Supervised Classification grub-damage 645 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • study_1 study_107 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7452, build_cpu_time: 0.016, build_memory: 1277272656.9807, f_measure: 0.7502, kappa: 0.4137, kb_relative_information_score: 49.3282, mean_absolute_error: 0.2861, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.748, predictive_accuracy: 0.7548, prior_entropy: 0.9027, recall: 0.7548, relative_absolute_error: 0.6604, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4437, root_relative_squared_error: 0.9543, scimark_benchmark: 930.5854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7452, build_cpu_time: 0.0158, build_memory: 1183531281.7548, f_measure: 0.7502, kappa: 0.4137, kb_relative_information_score: 49.3282, mean_absolute_error: 0.2861, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.748, predictive_accuracy: 0.7548, prior_entropy: 0.9027, recall: 0.7548, relative_absolute_error: 0.6604, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4437, root_relative_squared_error: 0.9543, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7456, build_cpu_time: 0.0236, build_memory: 592765779.3548, f_measure: 0.7502, kappa: 0.4137, kb_relative_information_score: 49.3005, mean_absolute_error: 0.2862, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.748, predictive_accuracy: 0.7548, prior_entropy: 0.9027, recall: 0.7548, relative_absolute_error: 0.6606, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4438, root_relative_squared_error: 0.9545, scimark_benchmark: 937.6343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7437, build_cpu_time: 0.0169, build_memory: 1164133070.7613, f_measure: 0.7559, kappa: 0.4259, kb_relative_information_score: 47.8898, mean_absolute_error: 0.2895, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.754, predictive_accuracy: 0.7613, prior_entropy: 0.9027, recall: 0.7613, relative_absolute_error: 0.6682, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4447, root_relative_squared_error: 0.9563, scimark_benchmark: 920.7965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7408, build_cpu_time: 0.0056, build_memory: 1030414279.4839, f_measure: 0.7305, kappa: 0.3801, kb_relative_information_score: 48.1495, mean_absolute_error: 0.284, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7321, predictive_accuracy: 0.729, prior_entropy: 0.9027, recall: 0.729, relative_absolute_error: 0.6554, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4945, root_relative_squared_error: 1.0635, scimark_benchmark: 943.4039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7284, build_cpu_time: 0.0113, build_memory: 211793462.9161, f_measure: 0.7388, kappa: 0.3898, kb_relative_information_score: 54.3336, mean_absolute_error: 0.267, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7368, predictive_accuracy: 0.7419, prior_entropy: 0.9027, recall: 0.7419, relative_absolute_error: 0.6163, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4973, root_relative_squared_error: 1.0695, scimark_benchmark: 930.5854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.689, build_cpu_time: 0.0222, build_memory: 1035290675.5613, f_measure: 0.69, kappa: 0.2707, kb_relative_information_score: 38.7846, mean_absolute_error: 0.3062, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.6861, predictive_accuracy: 0.6968, prior_entropy: 0.9027, recall: 0.6968, relative_absolute_error: 0.7067, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.5459, root_relative_squared_error: 1.174, scimark_benchmark: 873.8637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6531, build_cpu_time: 0.0444, build_memory: 808259085.9355, f_measure: 0.6866, kappa: 0.2677, kb_relative_information_score: 37.6912, mean_absolute_error: 0.3086, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.6838, predictive_accuracy: 0.6903, prior_entropy: 0.9027, recall: 0.6903, relative_absolute_error: 0.7123, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.5539, root_relative_squared_error: 1.1912, scimark_benchmark: 923.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.628, build_cpu_time: 0.0953, build_memory: 1023841855.8452, f_measure: 0.7009, kappa: 0.2937, kb_relative_information_score: 44.4808, mean_absolute_error: 0.2912, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.6972, predictive_accuracy: 0.7097, prior_entropy: 0.9027, recall: 0.7097, relative_absolute_error: 0.672, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.5388, root_relative_squared_error: 1.1589, scimark_benchmark: 942.5053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6793, build_cpu_time: 0.0189, build_memory: 722370015.8452, f_measure: 0.6806, kappa: 0.27, kb_relative_information_score: 31.0361, mean_absolute_error: 0.3276, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.6847, predictive_accuracy: 0.6774, prior_entropy: 0.9027, recall: 0.6774, relative_absolute_error: 0.7561, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.5599, root_relative_squared_error: 1.2042, scimark_benchmark: 943.4024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6793, build_cpu_time: 0.0071, build_memory: 821082282.1677, f_measure: 0.6806, kappa: 0.27, kb_relative_information_score: 31.0361, mean_absolute_error: 0.3276, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.6847, predictive_accuracy: 0.6774, prior_entropy: 0.9027, recall: 0.6774, relative_absolute_error: 0.7561, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.5599, root_relative_squared_error: 1.2042, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6793, build_cpu_time: 0.0053, build_memory: 721647624.5161, f_measure: 0.6806, kappa: 0.27, kb_relative_information_score: 31.0361, mean_absolute_error: 0.3276, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.6847, predictive_accuracy: 0.6774, prior_entropy: 0.9027, recall: 0.6774, relative_absolute_error: 0.7561, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.5599, root_relative_squared_error: 1.2042, scimark_benchmark: 916.1588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7725, build_cpu_time: 0.0456, build_memory: 120162868.7484, f_measure: 0.7598, kappa: 0.4317, kb_relative_information_score: 43.836, mean_absolute_error: 0.3072, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.759, predictive_accuracy: 0.7677, prior_entropy: 0.9027, recall: 0.7677, relative_absolute_error: 0.7092, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4284, root_relative_squared_error: 0.9214, scimark_benchmark: 937.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6229, build_cpu_time: 1.9152, build_memory: 1383296941.8839, f_measure: 0.6528, kappa: 0.1869, kb_relative_information_score: 25.796, mean_absolute_error: 0.3396, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.6489, predictive_accuracy: 0.6581, prior_entropy: 0.9027, recall: 0.6581, relative_absolute_error: 0.7838, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.5803, root_relative_squared_error: 1.248, scimark_benchmark: 931.9671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6302, build_cpu_time: 0.8867, build_memory: 845443415.3806, f_measure: 0.6557, kappa: 0.1885, kb_relative_information_score: 29.9236, mean_absolute_error: 0.3271, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.6504, predictive_accuracy: 0.6645, prior_entropy: 0.9027, recall: 0.6645, relative_absolute_error: 0.7549, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.559, root_relative_squared_error: 1.2023, scimark_benchmark: 939.6177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7047, build_cpu_time: 0.5174, build_memory: 1777890325.7807, f_measure: 0.6921, kappa: 0.2789, kb_relative_information_score: 35.5385, mean_absolute_error: 0.3164, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.6889, predictive_accuracy: 0.6968, prior_entropy: 0.9027, recall: 0.6968, relative_absolute_error: 0.7302, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.542, root_relative_squared_error: 1.1657, scimark_benchmark: 911.7126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7318, build_cpu_time: 0.2221, build_memory: 834275721.6, f_measure: 0.6571, kappa: 0.2048, kb_relative_information_score: 30.4051, mean_absolute_error: 0.3264, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.6562, predictive_accuracy: 0.6581, prior_entropy: 0.9027, recall: 0.6581, relative_absolute_error: 0.7534, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.5317, root_relative_squared_error: 1.1435, scimark_benchmark: 933.9589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7386, build_cpu_time: 0.0339, build_memory: 231426936.671, f_measure: 0.7071, kappa: 0.3173, kb_relative_information_score: 42.4222, mean_absolute_error: 0.2969, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7051, predictive_accuracy: 0.7097, prior_entropy: 0.9027, recall: 0.7097, relative_absolute_error: 0.6852, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4937, root_relative_squared_error: 1.0619, scimark_benchmark: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7305, build_cpu_time: 0.0023, build_memory: 558085349.6774, f_measure: 0.683, kappa: 0.2648, kb_relative_information_score: 30.6569, mean_absolute_error: 0.3287, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.6822, predictive_accuracy: 0.6839, prior_entropy: 0.9027, recall: 0.6839, relative_absolute_error: 0.7587, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4932, root_relative_squared_error: 1.0607, scimark_benchmark: 944.3832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7356, build_cpu_time: 0.0258, build_memory: 668831797.7806, f_measure: 0.6822, kappa: 0.2509, kb_relative_information_score: 28.8883, mean_absolute_error: 0.3407, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.6778, predictive_accuracy: 0.6903, prior_entropy: 0.9027, recall: 0.6903, relative_absolute_error: 0.7863, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4437, root_relative_squared_error: 0.9542, scimark_benchmark: 933.9469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6461, build_cpu_time: 0.0026, build_memory: 766338737.7032, f_measure: 0.7174, kappa: 0.3291, kb_relative_information_score: 29.6551, mean_absolute_error: 0.3517, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7154, predictive_accuracy: 0.729, prior_entropy: 0.9027, recall: 0.729, relative_absolute_error: 0.8117, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4595, root_relative_squared_error: 0.9883, scimark_benchmark: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6793, build_memory: 717182928, f_measure: 0.6806, kappa: 0.27, kb_relative_information_score: 31.0361, mean_absolute_error: 0.3276, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.6847, predictive_accuracy: 0.6774, prior_entropy: 0.9027, recall: 0.6774, relative_absolute_error: 0.7561, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.5599, root_relative_squared_error: 1.2042, scimark_benchmark: 906.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.0101, build_memory: 567837978.2194, f_measure: 0.5555, kb_relative_information_score: 34.9278, mean_absolute_error: 0.3161, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.4677, predictive_accuracy: 0.6839, prior_entropy: 0.9027, recall: 0.6839, relative_absolute_error: 0.7297, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.5623, root_relative_squared_error: 1.2092, scimark_benchmark: 915.0385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6702, build_cpu_time: 0.0118, build_memory: 650182543.8968, f_measure: 0.7239, kappa: 0.352, kb_relative_information_score: 52.0179, mean_absolute_error: 0.271, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7211, predictive_accuracy: 0.729, prior_entropy: 0.9027, recall: 0.729, relative_absolute_error: 0.6254, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.5205, root_relative_squared_error: 1.1195, scimark_benchmark: 937.4673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6819, build_cpu_time: 0.0386, build_memory: 260376849.5484, f_measure: 0.7233, kappa: 0.3619, kb_relative_information_score: 49.5765, mean_absolute_error: 0.2774, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7241, predictive_accuracy: 0.7226, prior_entropy: 0.9027, recall: 0.7226, relative_absolute_error: 0.6403, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.5267, root_relative_squared_error: 1.1328, scimark_benchmark: 937.4673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7665, build_cpu_time: 0.0125, build_memory: 155504537.1355, f_measure: 0.7314, kappa: 0.371, kb_relative_information_score: 47.6469, mean_absolute_error: 0.2888, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.729, predictive_accuracy: 0.7355, prior_entropy: 0.9027, recall: 0.7355, relative_absolute_error: 0.6665, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4443, root_relative_squared_error: 0.9556, scimark_benchmark: 918.4301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8181, build_cpu_time: 0.0009, build_memory: 203955664.2581, f_measure: 0.7779, kappa: 0.4971, kb_relative_information_score: 61.9051, mean_absolute_error: 0.2531, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7847, predictive_accuracy: 0.7742, prior_entropy: 0.9027, recall: 0.7742, relative_absolute_error: 0.5842, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4184, root_relative_squared_error: 0.8998, scimark_benchmark: 945.1738,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8125, build_cpu_time: 0.0026, build_memory: 1388072113.3936, f_measure: 0.7424, kappa: 0.3837, kb_relative_information_score: 35.7512, mean_absolute_error: 0.3412, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.752, predictive_accuracy: 0.7613, prior_entropy: 0.9027, recall: 0.7613, relative_absolute_error: 0.7876, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4093, root_relative_squared_error: 0.8802, scimark_benchmark: 944.3501,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7457, build_cpu_time: 4.1288, build_memory: 480528184.671, f_measure: 0.7142, kappa: 0.3251, kb_relative_information_score: 34.4408, mean_absolute_error: 0.3285, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.711, predictive_accuracy: 0.7226, prior_entropy: 0.9027, recall: 0.7226, relative_absolute_error: 0.7583, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4403, root_relative_squared_error: 0.9469, scimark_benchmark: 944.3501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7565, build_cpu_time: 8.3185, build_memory: 3653155048.1548, f_measure: 0.7331, kappa: 0.3685, kb_relative_information_score: 35.8943, mean_absolute_error: 0.3262, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.731, predictive_accuracy: 0.7419, prior_entropy: 0.9027, recall: 0.7419, relative_absolute_error: 0.7529, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4366, root_relative_squared_error: 0.9391, scimark_benchmark: 945.0883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7695, build_cpu_time: 18.6747, build_memory: 598719504.8258, f_measure: 0.7331, kappa: 0.3685, kb_relative_information_score: 38.711, mean_absolute_error: 0.3209, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.731, predictive_accuracy: 0.7419, prior_entropy: 0.9027, recall: 0.7419, relative_absolute_error: 0.7408, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4311, root_relative_squared_error: 0.9271, scimark_benchmark: 897.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6315, build_cpu_time: 0.3204, build_memory: 692169052.3871, f_measure: 0.6768, kappa: 0.2397, kb_relative_information_score: 35.0131, mean_absolute_error: 0.3158, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.6725, predictive_accuracy: 0.6839, prior_entropy: 0.9027, recall: 0.6839, relative_absolute_error: 0.729, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.5553, root_relative_squared_error: 1.1942, scimark_benchmark: 897.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6978, build_cpu_time: 0.2166, build_memory: 1347489235.0968, f_measure: 0.6659, kappa: 0.2176, kb_relative_information_score: 30.8656, mean_absolute_error: 0.3265, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.6622, predictive_accuracy: 0.671, prior_entropy: 0.9027, recall: 0.671, relative_absolute_error: 0.7537, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.5645, root_relative_squared_error: 1.214, scimark_benchmark: 941.4198,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7185, build_cpu_time: 0.093, build_memory: 198077992.7742, f_measure: 0.6822, kappa: 0.2509, kb_relative_information_score: 39.45, mean_absolute_error: 0.3032, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.6778, predictive_accuracy: 0.6903, prior_entropy: 0.9027, recall: 0.6903, relative_absolute_error: 0.6998, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.5368, root_relative_squared_error: 1.1545, scimark_benchmark: 945.0342,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7559, build_cpu_time: 0.0462, build_memory: 1609709647.8452, f_measure: 0.7108, kappa: 0.3211, kb_relative_information_score: 46.3418, mean_absolute_error: 0.2853, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7077, predictive_accuracy: 0.7161, prior_entropy: 0.9027, recall: 0.7161, relative_absolute_error: 0.6584, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.5163, root_relative_squared_error: 1.1104, scimark_benchmark: 931.9798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.814, build_cpu_time: 0.2723, build_memory: 535172298.4258, f_measure: 0.7789, kappa: 0.476, kb_relative_information_score: 47.8379, mean_absolute_error: 0.3084, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7799, predictive_accuracy: 0.7871, prior_entropy: 0.9027, recall: 0.7871, relative_absolute_error: 0.7118, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.3907, root_relative_squared_error: 0.8402, scimark_benchmark: 941.1314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8141, build_cpu_time: 0.4117, build_memory: 316320498.0645, f_measure: 0.7807, kappa: 0.482, kb_relative_information_score: 48.078, mean_absolute_error: 0.3071, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7803, predictive_accuracy: 0.7871, prior_entropy: 0.9027, recall: 0.7871, relative_absolute_error: 0.7089, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.3917, root_relative_squared_error: 0.8423, scimark_benchmark: 947.4729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7917, build_cpu_time: 0.0805, build_memory: 1281835405.3677, f_measure: 0.7692, kappa: 0.4505, kb_relative_information_score: 40.4158, mean_absolute_error: 0.3298, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7729, predictive_accuracy: 0.7806, prior_entropy: 0.9027, recall: 0.7806, relative_absolute_error: 0.7613, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.404, root_relative_squared_error: 0.8689, scimark_benchmark: 919.6389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7934, build_cpu_time: 0.0262, build_memory: 404020679.0194, f_measure: 0.7692, kappa: 0.4505, kb_relative_information_score: 39.3605, mean_absolute_error: 0.3331, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7729, predictive_accuracy: 0.7806, prior_entropy: 0.9027, recall: 0.7806, relative_absolute_error: 0.7688, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4039, root_relative_squared_error: 0.8687, scimark_benchmark: 947.7945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7827, build_cpu_time: 0.0158, build_memory: 673558451.871, f_measure: 0.7712, kappa: 0.4569, kb_relative_information_score: 37.3879, mean_absolute_error: 0.3362, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7727, predictive_accuracy: 0.7806, prior_entropy: 0.9027, recall: 0.7806, relative_absolute_error: 0.776, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.409, root_relative_squared_error: 0.8796, scimark_benchmark: 897.8278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.784, build_cpu_time: 0.0082, build_memory: 342316142.4516, f_measure: 0.7613, kappa: 0.4309, kb_relative_information_score: 37.5721, mean_absolute_error: 0.3366, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7657, predictive_accuracy: 0.7742, prior_entropy: 0.9027, recall: 0.7742, relative_absolute_error: 0.7769, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4067, root_relative_squared_error: 0.8746, scimark_benchmark: 944.9773,

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