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

OpenML
OpenML
Supervised Classification on sleuth_case2002

Supervised Classification on sleuth_case2002

Task 3765 Supervised Classification sleuth_case2002 817 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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817 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6781, build_cpu_time: 0.0142, build_memory: 1099469348.3537, f_measure: 0.6799, kappa: 0.364, kb_relative_information_score: 31.0522, mean_absolute_error: 0.4048, mean_prior_absolute_error: 0.4982, number_of_instances: 147, precision: 0.6873, predictive_accuracy: 0.6803, prior_entropy: 0.9974, recall: 0.6803, relative_absolute_error: 0.8127, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4823, root_relative_squared_error: 0.9665, scimark_benchmark: 922.3661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6781, build_cpu_time: 0.013, build_memory: 627992810.7211, f_measure: 0.6799, kappa: 0.364, kb_relative_information_score: 31.0522, mean_absolute_error: 0.4048, mean_prior_absolute_error: 0.4982, number_of_instances: 147, precision: 0.6873, predictive_accuracy: 0.6803, prior_entropy: 0.9974, recall: 0.6803, relative_absolute_error: 0.8127, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4823, root_relative_squared_error: 0.9665, scimark_benchmark: 890.3066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6781, build_cpu_time: 0.012, build_memory: 70802190.7483, f_measure: 0.6799, kappa: 0.364, kb_relative_information_score: 31.0522, mean_absolute_error: 0.4048, mean_prior_absolute_error: 0.4982, number_of_instances: 147, precision: 0.6873, predictive_accuracy: 0.6803, prior_entropy: 0.9974, recall: 0.6803, relative_absolute_error: 0.8127, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4823, root_relative_squared_error: 0.9665, scimark_benchmark: 919.5971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6781, build_cpu_time: 0.0126, build_memory: 851461317.0612, f_measure: 0.6799, kappa: 0.364, kb_relative_information_score: 31.0522, mean_absolute_error: 0.4048, mean_prior_absolute_error: 0.4982, number_of_instances: 147, precision: 0.6873, predictive_accuracy: 0.6803, prior_entropy: 0.9974, recall: 0.6803, relative_absolute_error: 0.8127, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4823, root_relative_squared_error: 0.9665, scimark_benchmark: 936.1433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6875, build_cpu_time: 0.0103, build_memory: 294093031.5102, f_measure: 0.6866, kappa: 0.378, kb_relative_information_score: 31.2998, mean_absolute_error: 0.4042, mean_prior_absolute_error: 0.4982, number_of_instances: 147, precision: 0.6953, predictive_accuracy: 0.6871, prior_entropy: 0.9974, recall: 0.6871, relative_absolute_error: 0.8113, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4804, root_relative_squared_error: 0.9626, scimark_benchmark: 934.2858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6381, build_cpu_time: 0.0089, build_memory: 419999981.0068, f_measure: 0.5718, kappa: 0.1418, kb_relative_information_score: 22.9797, mean_absolute_error: 0.4209, mean_prior_absolute_error: 0.4982, number_of_instances: 147, precision: 0.5726, predictive_accuracy: 0.5714, prior_entropy: 0.9974, recall: 0.5714, relative_absolute_error: 0.845, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5374, root_relative_squared_error: 1.0769, scimark_benchmark: 902.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6372, build_cpu_time: 0.0173, build_memory: 1280634815.8367, f_measure: 0.5782, kappa: 0.1533, kb_relative_information_score: 23.2389, mean_absolute_error: 0.4207, mean_prior_absolute_error: 0.4982, number_of_instances: 147, precision: 0.5782, predictive_accuracy: 0.5782, prior_entropy: 0.9974, recall: 0.5782, relative_absolute_error: 0.8446, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5431, root_relative_squared_error: 1.0883, scimark_benchmark: 936.1433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6372, build_cpu_time: 0.0179, build_memory: 667213694.6395, f_measure: 0.5782, kappa: 0.1533, kb_relative_information_score: 23.2389, mean_absolute_error: 0.4207, mean_prior_absolute_error: 0.4982, number_of_instances: 147, precision: 0.5782, predictive_accuracy: 0.5782, prior_entropy: 0.9974, recall: 0.5782, relative_absolute_error: 0.8446, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5431, root_relative_squared_error: 1.0883, scimark_benchmark: 873.8637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6372, build_cpu_time: 0.013, build_memory: 1033182174.6939, f_measure: 0.5782, kappa: 0.1533, kb_relative_information_score: 23.2389, mean_absolute_error: 0.4207, mean_prior_absolute_error: 0.4982, number_of_instances: 147, precision: 0.5782, predictive_accuracy: 0.5782, prior_entropy: 0.9974, recall: 0.5782, relative_absolute_error: 0.8446, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5431, root_relative_squared_error: 1.0883, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6001, build_cpu_time: 0.4692, build_memory: 731304400.3265, f_measure: 0.5921, kappa: 0.182, kb_relative_information_score: 24.3806, mean_absolute_error: 0.4148, mean_prior_absolute_error: 0.4982, number_of_instances: 147, precision: 0.5926, predictive_accuracy: 0.5918, prior_entropy: 0.9974, recall: 0.5918, relative_absolute_error: 0.8328, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6382, root_relative_squared_error: 1.2789, scimark_benchmark: 919.8064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6001, build_cpu_time: 0.197, build_memory: 110440294.9116, f_measure: 0.5921, kappa: 0.182, kb_relative_information_score: 24.3897, mean_absolute_error: 0.4148, mean_prior_absolute_error: 0.4982, number_of_instances: 147, precision: 0.5926, predictive_accuracy: 0.5918, prior_entropy: 0.9974, recall: 0.5918, relative_absolute_error: 0.8327, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6382, root_relative_squared_error: 1.2788, scimark_benchmark: 923.3659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6001, build_cpu_time: 0.1134, build_memory: 805221534.3129, f_measure: 0.5921, kappa: 0.182, kb_relative_information_score: 24.408, mean_absolute_error: 0.4148, mean_prior_absolute_error: 0.4982, number_of_instances: 147, precision: 0.5926, predictive_accuracy: 0.5918, prior_entropy: 0.9974, recall: 0.5918, relative_absolute_error: 0.8326, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6382, root_relative_squared_error: 1.2788, scimark_benchmark: 907.4175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7111, build_cpu_time: 0.0443, build_memory: 23769348.7891, f_measure: 0.7134, kappa: 0.4331, kb_relative_information_score: 36.9013, mean_absolute_error: 0.3844, mean_prior_absolute_error: 0.4982, number_of_instances: 147, precision: 0.7256, predictive_accuracy: 0.7143, prior_entropy: 0.9974, recall: 0.7143, relative_absolute_error: 0.7716, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4608, root_relative_squared_error: 0.9233, scimark_benchmark: 944.4197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6045, build_cpu_time: 0.4327, build_memory: 823929110.585, f_measure: 0.5555, kappa: 0.1071, kb_relative_information_score: 18.3085, mean_absolute_error: 0.4351, mean_prior_absolute_error: 0.4982, number_of_instances: 147, precision: 0.5557, predictive_accuracy: 0.5578, prior_entropy: 0.9974, recall: 0.5578, relative_absolute_error: 0.8735, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6328, root_relative_squared_error: 1.2679, scimark_benchmark: 916.8516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6268, build_cpu_time: 0.3255, build_memory: 1026051579.9728, f_measure: 0.5555, kappa: 0.1071, kb_relative_information_score: 20.7023, mean_absolute_error: 0.4266, mean_prior_absolute_error: 0.4982, number_of_instances: 147, precision: 0.5557, predictive_accuracy: 0.5578, prior_entropy: 0.9974, recall: 0.5578, relative_absolute_error: 0.8563, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6209, root_relative_squared_error: 1.2441, scimark_benchmark: 940.9619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6329, build_cpu_time: 0.1853, build_memory: 729212631.2925, f_measure: 0.5607, kappa: 0.1186, kb_relative_information_score: 20.7101, mean_absolute_error: 0.4263, mean_prior_absolute_error: 0.4982, number_of_instances: 147, precision: 0.5621, predictive_accuracy: 0.5646, prior_entropy: 0.9974, recall: 0.5646, relative_absolute_error: 0.8557, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6098, root_relative_squared_error: 1.2219, scimark_benchmark: 945.5617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6257, build_cpu_time: 0.0907, build_memory: 751682064.8707, f_measure: 0.5908, kappa: 0.1779, kb_relative_information_score: 25.6346, mean_absolute_error: 0.4123, mean_prior_absolute_error: 0.4982, number_of_instances: 147, precision: 0.5907, predictive_accuracy: 0.5918, prior_entropy: 0.9974, recall: 0.5918, relative_absolute_error: 0.8276, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5826, root_relative_squared_error: 1.1674, scimark_benchmark: 930.264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5993, build_cpu_time: 0.0877, build_memory: 684387571.4286, f_measure: 0.5261, kappa: 0.2197, kb_relative_information_score: 18.2089, mean_absolute_error: 0.4383, mean_prior_absolute_error: 0.4982, number_of_instances: 147, precision: 0.7817, predictive_accuracy: 0.5918, prior_entropy: 0.9974, recall: 0.5918, relative_absolute_error: 0.8798, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6255, root_relative_squared_error: 1.2533, scimark_benchmark: 945.384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6119, build_cpu_time: 0.0177, build_memory: 1131285035.2653, f_measure: 0.558, kappa: 0.1131, kb_relative_information_score: 14.2559, mean_absolute_error: 0.4474, mean_prior_absolute_error: 0.4982, number_of_instances: 147, precision: 0.5582, predictive_accuracy: 0.5578, prior_entropy: 0.9974, recall: 0.5578, relative_absolute_error: 0.898, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5966, root_relative_squared_error: 1.1955, scimark_benchmark: 944.3832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6287, build_cpu_time: 0.0008, build_memory: 333491976, f_measure: 0.6215, kappa: 0.2618, kb_relative_information_score: 20.3367, mean_absolute_error: 0.436, mean_prior_absolute_error: 0.4982, number_of_instances: 147, precision: 0.6436, predictive_accuracy: 0.6259, prior_entropy: 0.9974, recall: 0.6259, relative_absolute_error: 0.8753, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4922, root_relative_squared_error: 0.9863, scimark_benchmark: 943.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6509, build_cpu_time: 0.028, build_memory: 473787536.0544, f_measure: 0.6252, kappa: 0.247, kb_relative_information_score: 22.4517, mean_absolute_error: 0.4265, mean_prior_absolute_error: 0.4982, number_of_instances: 147, precision: 0.6251, predictive_accuracy: 0.6259, prior_entropy: 0.9974, recall: 0.6259, relative_absolute_error: 0.8561, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5049, root_relative_squared_error: 1.0118, scimark_benchmark: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6439, build_cpu_time: 0.0023, build_memory: 145136162.6122, f_measure: 0.6984, kappa: 0.408, kb_relative_information_score: 32.2218, mean_absolute_error: 0.4042, mean_prior_absolute_error: 0.4982, number_of_instances: 147, precision: 0.7178, predictive_accuracy: 0.7007, prior_entropy: 0.9974, recall: 0.7007, relative_absolute_error: 0.8113, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4605, root_relative_squared_error: 0.9228, scimark_benchmark: 943.1817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5708, build_memory: 1262134304, f_measure: 0.5778, kappa: 0.1519, kb_relative_information_score: 24.0847, mean_absolute_error: 0.4162, mean_prior_absolute_error: 0.4982, number_of_instances: 147, precision: 0.5776, predictive_accuracy: 0.5782, prior_entropy: 0.9974, recall: 0.5782, relative_absolute_error: 0.8355, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6343, root_relative_squared_error: 1.271, scimark_benchmark: 928.1083,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6892, build_cpu_time: 0.0054, build_memory: 248151288.1633, f_measure: 0.6872, kappa: 0.376, kb_relative_information_score: 54.5033, mean_absolute_error: 0.3129, mean_prior_absolute_error: 0.4982, number_of_instances: 147, precision: 0.6914, predictive_accuracy: 0.6871, prior_entropy: 0.9974, recall: 0.6871, relative_absolute_error: 0.6282, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5594, root_relative_squared_error: 1.1209, scimark_benchmark: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6675, build_cpu_time: 0.0057, build_memory: 704188680, f_measure: 0.667, kappa: 0.3336, kb_relative_information_score: 48.4716, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4982, number_of_instances: 147, precision: 0.6688, predictive_accuracy: 0.6667, prior_entropy: 0.9974, recall: 0.6667, relative_absolute_error: 0.6691, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.1569, scimark_benchmark: 945.4085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7136, build_cpu_time: 0.0039, build_memory: 48923769.0884, f_measure: 0.6262, kappa: 0.252, kb_relative_information_score: 29.0822, mean_absolute_error: 0.4071, mean_prior_absolute_error: 0.4982, number_of_instances: 147, precision: 0.628, predictive_accuracy: 0.6259, prior_entropy: 0.9974, recall: 0.6259, relative_absolute_error: 0.8171, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4631, root_relative_squared_error: 0.9279, scimark_benchmark: 946.8618,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6993, build_cpu_time: 0.0243, build_memory: 953539789.8231, f_measure: 0.6803, kappa: 0.3629, kb_relative_information_score: 36.9381, mean_absolute_error: 0.382, mean_prior_absolute_error: 0.4982, number_of_instances: 147, precision: 0.6854, predictive_accuracy: 0.6803, prior_entropy: 0.9974, recall: 0.6803, relative_absolute_error: 0.7667, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4755, root_relative_squared_error: 0.9527, scimark_benchmark: 905.0866,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6668, build_cpu_time: 0.084, build_memory: 259088823.1837, f_measure: 0.611, kappa: 0.2183, kb_relative_information_score: 28.7727, mean_absolute_error: 0.405, mean_prior_absolute_error: 0.4982, number_of_instances: 147, precision: 0.6111, predictive_accuracy: 0.6122, prior_entropy: 0.9974, recall: 0.6122, relative_absolute_error: 0.8129, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5158, root_relative_squared_error: 1.0335, scimark_benchmark: 942.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6521, build_cpu_time: 0.0024, build_memory: 3085979094.0408, f_measure: 0.7049, kappa: 0.4219, kb_relative_information_score: 26.6517, mean_absolute_error: 0.4197, mean_prior_absolute_error: 0.4982, number_of_instances: 147, precision: 0.7267, predictive_accuracy: 0.7075, prior_entropy: 0.9974, recall: 0.7075, relative_absolute_error: 0.8424, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4698, root_relative_squared_error: 0.9414, scimark_benchmark: 813.0234,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6805, build_cpu_time: 2.6578, build_memory: 751069637.0612, f_measure: 0.633, kappa: 0.2662, kb_relative_information_score: 25.4512, mean_absolute_error: 0.4196, mean_prior_absolute_error: 0.4982, number_of_instances: 147, precision: 0.6354, predictive_accuracy: 0.6327, prior_entropy: 0.9974, recall: 0.6327, relative_absolute_error: 0.8422, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4784, root_relative_squared_error: 0.9585, scimark_benchmark: 943.0945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6787, build_cpu_time: 5.3287, build_memory: 1707871601.3605, f_measure: 0.6597, kappa: 0.3228, kb_relative_information_score: 25.4678, mean_absolute_error: 0.4197, mean_prior_absolute_error: 0.4982, number_of_instances: 147, precision: 0.6657, predictive_accuracy: 0.6599, prior_entropy: 0.9974, recall: 0.6599, relative_absolute_error: 0.8426, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4782, root_relative_squared_error: 0.9582, scimark_benchmark: 944.177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6258, build_cpu_time: 0.2697, build_memory: 848229520.2721, f_measure: 0.5765, kappa: 0.149, kb_relative_information_score: 23.5645, mean_absolute_error: 0.4166, mean_prior_absolute_error: 0.4982, number_of_instances: 147, precision: 0.5766, predictive_accuracy: 0.5782, prior_entropy: 0.9974, recall: 0.5782, relative_absolute_error: 0.8364, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6349, root_relative_squared_error: 1.2722, scimark_benchmark: 941.2906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6443, build_cpu_time: 0.216, build_memory: 1161092195.9728, f_measure: 0.6045, kappa: 0.2053, kb_relative_information_score: 29.4737, mean_absolute_error: 0.3979, mean_prior_absolute_error: 0.4982, number_of_instances: 147, precision: 0.6044, predictive_accuracy: 0.6054, prior_entropy: 0.9974, recall: 0.6054, relative_absolute_error: 0.7988, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6179, root_relative_squared_error: 1.238, scimark_benchmark: 941.4198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6542, build_cpu_time: 0.0774, build_memory: 850315227.1565, f_measure: 0.6038, kappa: 0.2039, kb_relative_information_score: 31.8327, mean_absolute_error: 0.3899, mean_prior_absolute_error: 0.4982, number_of_instances: 147, precision: 0.6041, predictive_accuracy: 0.6054, prior_entropy: 0.9974, recall: 0.6054, relative_absolute_error: 0.7826, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6038, root_relative_squared_error: 1.2099, scimark_benchmark: 941.4198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6632, build_cpu_time: 0.0775, build_memory: 582476194.2313, f_measure: 0.626, kappa: 0.2495, kb_relative_information_score: 33.9144, mean_absolute_error: 0.3836, mean_prior_absolute_error: 0.4982, number_of_instances: 147, precision: 0.6262, predictive_accuracy: 0.6259, prior_entropy: 0.9974, recall: 0.6259, relative_absolute_error: 0.77, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5904, root_relative_squared_error: 1.1831, scimark_benchmark: 938.0657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6857, build_cpu_time: 0.0347, build_memory: 666543420.4082, f_measure: 0.6398, kappa: 0.278, kb_relative_information_score: 40.792, mean_absolute_error: 0.3595, mean_prior_absolute_error: 0.4982, number_of_instances: 147, precision: 0.6406, predictive_accuracy: 0.6395, prior_entropy: 0.9974, recall: 0.6395, relative_absolute_error: 0.7218, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.563, root_relative_squared_error: 1.128, scimark_benchmark: 944.2629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6831, build_cpu_time: 0.4262, build_memory: 255084088.4898, f_measure: 0.6729, kappa: 0.351, kb_relative_information_score: 27.8773, mean_absolute_error: 0.4164, mean_prior_absolute_error: 0.4982, number_of_instances: 147, precision: 0.6814, predictive_accuracy: 0.6735, prior_entropy: 0.9974, recall: 0.6735, relative_absolute_error: 0.8358, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4659, root_relative_squared_error: 0.9336, scimark_benchmark: 817.3244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6718, build_cpu_time: 0.1065, build_memory: 1028325452.6803, f_measure: 0.6464, kappa: 0.2946, kb_relative_information_score: 25.1268, mean_absolute_error: 0.421, mean_prior_absolute_error: 0.4982, number_of_instances: 147, precision: 0.6504, predictive_accuracy: 0.6463, prior_entropy: 0.9974, recall: 0.6463, relative_absolute_error: 0.8452, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4855, root_relative_squared_error: 0.9728, scimark_benchmark: 940.1524,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

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

OpenML bootcamp

From your own software

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

OpenML APIs