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Supervised Classification on meta_ensembles.arff

Supervised Classification on meta_ensembles.arff

Task 2978 Supervised Classification meta_ensembles.arff 174 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5415, f_measure: 0.5336, kappa: 0.1505, kb_relative_information_score: 94.3645, mean_absolute_error: 0.2609, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.509, predictive_accuracy: 0.5986, prior_entropy: 1.5899, recall: 0.5986, relative_absolute_error: 0.8986, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.4009, root_relative_squared_error: 1.0602, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6277, f_measure: 0.5308, kappa: 0.1714, kb_relative_information_score: 139.0272, mean_absolute_error: 0.2418, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.5275, predictive_accuracy: 0.5351, prior_entropy: 1.5899, recall: 0.5351, relative_absolute_error: 0.8328, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.4356, root_relative_squared_error: 1.152, scimark_benchmark: 851.2074, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, f_measure: 0.4535, kappa: -0.0156, kb_relative_information_score: 158.1965, mean_absolute_error: 0.2027, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.3665, predictive_accuracy: 0.5946, prior_entropy: 1.5899, recall: 0.5946, relative_absolute_error: 0.6981, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.4502, root_relative_squared_error: 1.1905, scimark_benchmark: 931.771, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5536, f_measure: 0.5196, kappa: 0.1274, kb_relative_information_score: 111.8458, mean_absolute_error: 0.2562, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.4892, predictive_accuracy: 0.5757, prior_entropy: 1.5899, recall: 0.5757, relative_absolute_error: 0.8823, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.4101, root_relative_squared_error: 1.0845, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6881, f_measure: 0.5679, kappa: 0.1911, kb_relative_information_score: 143.475, mean_absolute_error: 0.2554, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.5836, predictive_accuracy: 0.6257, prior_entropy: 1.5899, recall: 0.6257, relative_absolute_error: 0.8794, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.3599, root_relative_squared_error: 0.9517, scimark_benchmark: 941.6675, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5536, f_measure: 0.5196, kappa: 0.1274, kb_relative_information_score: 111.8458, mean_absolute_error: 0.2562, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.4892, predictive_accuracy: 0.5757, prior_entropy: 1.5899, recall: 0.5757, relative_absolute_error: 0.8823, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.4101, root_relative_squared_error: 1.0845, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7095, f_measure: 0.6307, kappa: 0.3326, kb_relative_information_score: 188.0688, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.6271, predictive_accuracy: 0.6608, prior_entropy: 1.5899, recall: 0.6608, relative_absolute_error: 0.8297, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.3545, root_relative_squared_error: 0.9374, scimark_benchmark: 931.771, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, f_measure: 0.4535, kappa: -0.0156, kb_relative_information_score: 158.1965, mean_absolute_error: 0.2027, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.3665, predictive_accuracy: 0.5946, prior_entropy: 1.5899, recall: 0.5946, relative_absolute_error: 0.6981, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.4502, root_relative_squared_error: 1.1905, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7104, f_measure: 0.6149, kappa: 0.3159, kb_relative_information_score: 228.7105, mean_absolute_error: 0.2083, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.6101, predictive_accuracy: 0.6243, prior_entropy: 1.5899, recall: 0.6243, relative_absolute_error: 0.7173, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.3984, root_relative_squared_error: 1.0534, scimark_benchmark: 974.2014, usercpu_time_millis: 1750, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7095, f_measure: 0.6307, kappa: 0.3326, kb_relative_information_score: 188.0688, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.6271, predictive_accuracy: 0.6608, prior_entropy: 1.5899, recall: 0.6608, relative_absolute_error: 0.8297, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.3545, root_relative_squared_error: 0.9374, scimark_benchmark: 947.1781, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5415, f_measure: 0.5336, kappa: 0.1505, kb_relative_information_score: 94.3645, mean_absolute_error: 0.2609, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.509, predictive_accuracy: 0.5986, prior_entropy: 1.5899, recall: 0.5986, relative_absolute_error: 0.8986, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.4009, root_relative_squared_error: 1.0602, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.63, f_measure: 0.5317, kappa: 0.1728, kb_relative_information_score: 141.7332, mean_absolute_error: 0.2406, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.5279, predictive_accuracy: 0.5365, prior_entropy: 1.5899, recall: 0.5365, relative_absolute_error: 0.8285, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.4341, root_relative_squared_error: 1.148, scimark_benchmark: 936.2574, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, f_measure: 0.4535, kappa: -0.0156, kb_relative_information_score: 158.1965, mean_absolute_error: 0.2027, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.3665, predictive_accuracy: 0.5946, prior_entropy: 1.5899, recall: 0.5946, relative_absolute_error: 0.6981, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.4502, root_relative_squared_error: 1.1905, scimark_benchmark: 908.9569, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, f_measure: 0.4535, kappa: -0.0156, kb_relative_information_score: 158.1965, mean_absolute_error: 0.2027, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.3665, predictive_accuracy: 0.5946, prior_entropy: 1.5899, recall: 0.5946, relative_absolute_error: 0.6981, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.4502, root_relative_squared_error: 1.1905, scimark_benchmark: 934.5964, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5522, f_measure: 0.5175, kappa: 0.1231, kb_relative_information_score: 109.1782, mean_absolute_error: 0.2578, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.4866, predictive_accuracy: 0.573, prior_entropy: 1.5899, recall: 0.573, relative_absolute_error: 0.8879, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.4126, root_relative_squared_error: 1.091, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5536, f_measure: 0.5196, kappa: 0.1274, kb_relative_information_score: 111.8458, mean_absolute_error: 0.2562, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.4892, predictive_accuracy: 0.5757, prior_entropy: 1.5899, recall: 0.5757, relative_absolute_error: 0.8823, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.4101, root_relative_squared_error: 1.0845, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5536, f_measure: 0.5196, kappa: 0.1274, kb_relative_information_score: 111.8458, mean_absolute_error: 0.2562, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.4892, predictive_accuracy: 0.5757, prior_entropy: 1.5899, recall: 0.5757, relative_absolute_error: 0.8823, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.4101, root_relative_squared_error: 1.0845, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5536, f_measure: 0.5196, kappa: 0.1274, kb_relative_information_score: 111.8458, mean_absolute_error: 0.2562, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.4892, predictive_accuracy: 0.5757, prior_entropy: 1.5899, recall: 0.5757, relative_absolute_error: 0.8823, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.4101, root_relative_squared_error: 1.0845, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6881, f_measure: 0.5679, kappa: 0.1911, kb_relative_information_score: 143.475, mean_absolute_error: 0.2554, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.5836, predictive_accuracy: 0.6257, prior_entropy: 1.5899, recall: 0.6257, relative_absolute_error: 0.8794, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.3599, root_relative_squared_error: 0.9517, scimark_benchmark: 941.4991, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5536, f_measure: 0.5196, kappa: 0.1274, kb_relative_information_score: 111.8458, mean_absolute_error: 0.2562, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.4892, predictive_accuracy: 0.5757, prior_entropy: 1.5899, recall: 0.5757, relative_absolute_error: 0.8823, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.4101, root_relative_squared_error: 1.0845, scimark_benchmark: 936.9595, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7104, f_measure: 0.6149, kappa: 0.3159, kb_relative_information_score: 228.7105, mean_absolute_error: 0.2083, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.6101, predictive_accuracy: 0.6243, prior_entropy: 1.5899, recall: 0.6243, relative_absolute_error: 0.7173, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.3984, root_relative_squared_error: 1.0534, scimark_benchmark: 935.5664, usercpu_time_millis: 970, usercpu_time_millis_training: 970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7095, f_measure: 0.6307, kappa: 0.3326, kb_relative_information_score: 188.0688, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.6271, predictive_accuracy: 0.6608, prior_entropy: 1.5899, recall: 0.6608, relative_absolute_error: 0.8297, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.3545, root_relative_squared_error: 0.9374, scimark_benchmark: 1051.249, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7229, f_measure: 0.6614, kappa: 0.3933, kb_relative_information_score: 218.9051, mean_absolute_error: 0.2292, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.6547, predictive_accuracy: 0.6824, prior_entropy: 1.5899, recall: 0.6824, relative_absolute_error: 0.7893, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.3465, root_relative_squared_error: 0.9161, scimark_benchmark: 737.6064, usercpu_time_millis: 4300, usercpu_time_millis_testing: 1780, usercpu_time_millis_training: 2520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7248, f_measure: 0.6495, kappa: 0.3695, kb_relative_information_score: 219.2621, mean_absolute_error: 0.2287, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.6424, predictive_accuracy: 0.6716, prior_entropy: 1.5899, recall: 0.6716, relative_absolute_error: 0.7876, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.3468, root_relative_squared_error: 0.917, scimark_benchmark: 904.5548, usercpu_time_millis: 1520, usercpu_time_millis_testing: 550, usercpu_time_millis_training: 970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7241, f_measure: 0.6482, kappa: 0.3698, kb_relative_information_score: 214.593, mean_absolute_error: 0.2301, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.6399, predictive_accuracy: 0.6703, prior_entropy: 1.5899, recall: 0.6703, relative_absolute_error: 0.7924, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.35, root_relative_squared_error: 0.9256, scimark_benchmark: 945.2015, usercpu_time_millis: 800, usercpu_time_millis_testing: 330, usercpu_time_millis_training: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7248, f_measure: 0.651, kappa: 0.3763, kb_relative_information_score: 219.5614, mean_absolute_error: 0.228, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.6427, predictive_accuracy: 0.6703, prior_entropy: 1.5899, recall: 0.6703, relative_absolute_error: 0.7852, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.3498, root_relative_squared_error: 0.9251, scimark_benchmark: 933.9243, usercpu_time_millis: 340, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7098, f_measure: 0.6453, kappa: 0.3677, kb_relative_information_score: 215.4337, mean_absolute_error: 0.2298, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.6366, predictive_accuracy: 0.6622, prior_entropy: 1.5899, recall: 0.6622, relative_absolute_error: 0.7912, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.358, root_relative_squared_error: 0.9466, scimark_benchmark: 936.7286, usercpu_time_millis: 150, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4072, f_measure: 0.4599, kb_relative_information_score: -2.0768, mean_absolute_error: 0.2915, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.3698, predictive_accuracy: 0.6081, prior_entropy: 1.5899, recall: 0.6081, relative_absolute_error: 1.0039, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.3792, root_relative_squared_error: 1.0027, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5251, f_measure: 0.5004, kappa: 0.0784, kb_relative_information_score: 37.2396, mean_absolute_error: 0.291, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.4448, predictive_accuracy: 0.5986, prior_entropy: 1.5899, recall: 0.5986, relative_absolute_error: 1.0022, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.3903, root_relative_squared_error: 1.032, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5251, f_measure: 0.5004, kappa: 0.0784, kb_relative_information_score: 37.2396, mean_absolute_error: 0.291, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.4448, predictive_accuracy: 0.5986, prior_entropy: 1.5899, recall: 0.5986, relative_absolute_error: 1.0022, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.3903, root_relative_squared_error: 1.032, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5251, f_measure: 0.5004, kappa: 0.0784, kb_relative_information_score: 37.2396, mean_absolute_error: 0.291, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.4448, predictive_accuracy: 0.5986, prior_entropy: 1.5899, recall: 0.5986, relative_absolute_error: 1.0022, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.3903, root_relative_squared_error: 1.032, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5251, f_measure: 0.5004, kappa: 0.0784, kb_relative_information_score: 37.2396, mean_absolute_error: 0.291, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.4448, predictive_accuracy: 0.5986, prior_entropy: 1.5899, recall: 0.5986, relative_absolute_error: 1.0022, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.3903, root_relative_squared_error: 1.032, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5245, f_measure: 0.5057, kappa: 0.0892, kb_relative_information_score: 40.6793, mean_absolute_error: 0.2892, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.4521, predictive_accuracy: 0.6054, prior_entropy: 1.5899, recall: 0.6054, relative_absolute_error: 0.996, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.3893, root_relative_squared_error: 1.0294, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4599, kb_relative_information_score: 171.0732, mean_absolute_error: 0.1959, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.3698, predictive_accuracy: 0.6081, prior_entropy: 1.5899, recall: 0.6081, relative_absolute_error: 0.6748, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.4427, root_relative_squared_error: 1.1705, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6761, f_measure: 0.6244, kappa: 0.3244, kb_relative_information_score: 212.3803, mean_absolute_error: 0.2266, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.6347, predictive_accuracy: 0.623, prior_entropy: 1.5899, recall: 0.623, relative_absolute_error: 0.7805, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.3792, root_relative_squared_error: 1.0026, scimark_benchmark: 906.0884, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7036, f_measure: 0.6366, kappa: 0.3515, kb_relative_information_score: 199.4298, mean_absolute_error: 0.2361, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.6299, predictive_accuracy: 0.6486, prior_entropy: 1.5899, recall: 0.6486, relative_absolute_error: 0.8132, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.9526, scimark_benchmark: 911.442, usercpu_time_millis: 260, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6309, f_measure: 0.4979, kappa: 0.0659, kb_relative_information_score: 78.2259, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.4695, predictive_accuracy: 0.5973, prior_entropy: 1.5899, recall: 0.5973, relative_absolute_error: 0.9302, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.3744, root_relative_squared_error: 0.9901, scimark_benchmark: 931.7994,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.63, f_measure: 0.5317, kappa: 0.1728, kb_relative_information_score: 141.7332, mean_absolute_error: 0.2406, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.5279, predictive_accuracy: 0.5365, prior_entropy: 1.5899, recall: 0.5365, relative_absolute_error: 0.8285, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.4341, root_relative_squared_error: 1.148, scimark_benchmark: 918.5231, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5714, f_measure: 0.5508, kappa: 0.1812, kb_relative_information_score: 98.7697, mean_absolute_error: 0.2708, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.5164, predictive_accuracy: 0.623, prior_entropy: 1.5899, recall: 0.623, relative_absolute_error: 0.9327, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.3917, root_relative_squared_error: 1.0359, scimark_benchmark: 1339.5666, usercpu_time_millis: 120, usercpu_time_millis_testing: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.709, f_measure: 0.6316, kappa: 0.3679, kb_relative_information_score: 232.5146, mean_absolute_error: 0.2176, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.6325, predictive_accuracy: 0.6338, prior_entropy: 1.5899, recall: 0.6338, relative_absolute_error: 0.7493, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.3918, root_relative_squared_error: 1.0359, scimark_benchmark: 1350.4825, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5981, f_measure: 0.5725, kappa: 0.2333, kb_relative_information_score: 169.5354, mean_absolute_error: 0.2298, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.561, predictive_accuracy: 0.5905, prior_entropy: 1.5899, recall: 0.5905, relative_absolute_error: 0.7915, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.4295, root_relative_squared_error: 1.1356, scimark_benchmark: 1339.8573, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6277, f_measure: 0.5308, kappa: 0.1714, kb_relative_information_score: 139.0272, mean_absolute_error: 0.2418, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.5275, predictive_accuracy: 0.5351, prior_entropy: 1.5899, recall: 0.5351, relative_absolute_error: 0.8328, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.4356, root_relative_squared_error: 1.152, scimark_benchmark: 1346.2927, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.71, f_measure: 0.6202, kappa: 0.3298, kb_relative_information_score: 197.733, mean_absolute_error: 0.2326, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.6203, predictive_accuracy: 0.6338, prior_entropy: 1.5899, recall: 0.6338, relative_absolute_error: 0.8009, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.3743, root_relative_squared_error: 0.9897, scimark_benchmark: 1337.4384, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, f_measure: 0.4535, kappa: -0.0156, kb_relative_information_score: 158.1965, mean_absolute_error: 0.2027, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.3665, predictive_accuracy: 0.5946, prior_entropy: 1.5899, recall: 0.5946, relative_absolute_error: 0.6981, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.4502, root_relative_squared_error: 1.1905, scimark_benchmark: 1342.9012, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5536, f_measure: 0.5196, kappa: 0.1274, kb_relative_information_score: 111.8458, mean_absolute_error: 0.2562, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.4892, predictive_accuracy: 0.5757, prior_entropy: 1.5899, recall: 0.5757, relative_absolute_error: 0.8823, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.4101, root_relative_squared_error: 1.0845, scimark_benchmark: 1292.1745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6881, f_measure: 0.5679, kappa: 0.1911, kb_relative_information_score: 143.475, mean_absolute_error: 0.2554, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.5836, predictive_accuracy: 0.6257, prior_entropy: 1.5899, recall: 0.6257, relative_absolute_error: 0.8794, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.3599, root_relative_squared_error: 0.9517, scimark_benchmark: 1313.5633, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5536, f_measure: 0.5196, kappa: 0.1274, kb_relative_information_score: 111.8458, mean_absolute_error: 0.2562, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.4892, predictive_accuracy: 0.5757, prior_entropy: 1.5899, recall: 0.5757, relative_absolute_error: 0.8823, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.4101, root_relative_squared_error: 1.0845, scimark_benchmark: 1342.4614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5415, f_measure: 0.5336, kappa: 0.1505, kb_relative_information_score: 94.3645, mean_absolute_error: 0.2609, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.509, predictive_accuracy: 0.5986, prior_entropy: 1.5899, recall: 0.5986, relative_absolute_error: 0.8986, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.4009, root_relative_squared_error: 1.0602, scimark_benchmark: 1348.2804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7095, f_measure: 0.6307, kappa: 0.3326, kb_relative_information_score: 188.0688, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.6271, predictive_accuracy: 0.6608, prior_entropy: 1.5899, recall: 0.6608, relative_absolute_error: 0.8297, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.3545, root_relative_squared_error: 0.9374, scimark_benchmark: 1327.6367, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5551, f_measure: 0.5221, kappa: 0.1311, kb_relative_information_score: 113.475, mean_absolute_error: 0.2555, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.4921, predictive_accuracy: 0.5797, prior_entropy: 1.5899, recall: 0.5797, relative_absolute_error: 0.8801, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.4086, root_relative_squared_error: 1.0805, scimark_benchmark: 1404.0159, usercpu_time_millis: 350, usercpu_time_millis_testing: 300, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, f_measure: 0.4535, kappa: -0.0156, kb_relative_information_score: 158.1965, mean_absolute_error: 0.2027, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.3665, predictive_accuracy: 0.5946, prior_entropy: 1.5899, recall: 0.5946, relative_absolute_error: 0.6981, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.4502, root_relative_squared_error: 1.1905, scimark_benchmark: 1317.5857, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7104, f_measure: 0.6149, kappa: 0.3159, kb_relative_information_score: 228.7105, mean_absolute_error: 0.2083, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.6101, predictive_accuracy: 0.6243, prior_entropy: 1.5899, recall: 0.6243, relative_absolute_error: 0.7173, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.3984, root_relative_squared_error: 1.0534, scimark_benchmark: 1322.7257, usercpu_time_millis: 1060, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7095, f_measure: 0.6307, kappa: 0.3326, kb_relative_information_score: 188.0688, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.6271, predictive_accuracy: 0.6608, prior_entropy: 1.5899, recall: 0.6608, relative_absolute_error: 0.8297, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.3545, root_relative_squared_error: 0.9374, scimark_benchmark: 942.9708, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5415, f_measure: 0.5336, kappa: 0.1505, kb_relative_information_score: 94.3645, mean_absolute_error: 0.2609, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.509, predictive_accuracy: 0.5986, prior_entropy: 1.5899, recall: 0.5986, relative_absolute_error: 0.8986, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.4009, root_relative_squared_error: 1.0602, scimark_benchmark: 1384.4422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5522, f_measure: 0.5175, kappa: 0.1231, kb_relative_information_score: 109.1782, mean_absolute_error: 0.2578, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.4866, predictive_accuracy: 0.573, prior_entropy: 1.5899, recall: 0.573, relative_absolute_error: 0.8879, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.4126, root_relative_squared_error: 1.091, scimark_benchmark: 1347.917, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5415, f_measure: 0.5336, kappa: 0.1505, kb_relative_information_score: 94.3645, mean_absolute_error: 0.2609, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.509, predictive_accuracy: 0.5986, prior_entropy: 1.5899, recall: 0.5986, relative_absolute_error: 0.8986, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.4009, root_relative_squared_error: 1.0602, scimark_benchmark: 1342.6911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5522, f_measure: 0.5175, kappa: 0.1231, kb_relative_information_score: 109.1782, mean_absolute_error: 0.2578, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.4866, predictive_accuracy: 0.573, prior_entropy: 1.5899, recall: 0.573, relative_absolute_error: 0.8879, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.4126, root_relative_squared_error: 1.091, scimark_benchmark: 1354.3488, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6813, f_measure: 0.585, kappa: 0.2843, kb_relative_information_score: 225.9543, mean_absolute_error: 0.2074, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.5909, predictive_accuracy: 0.5811, prior_entropy: 1.5899, recall: 0.5811, relative_absolute_error: 0.7142, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.4442, root_relative_squared_error: 1.1746, scimark_benchmark: 1342.3004, usercpu_time_millis: 470, usercpu_time_millis_testing: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5325, f_measure: 0.5034, kappa: 0.0716, kb_relative_information_score: 67.2525, mean_absolute_error: 0.2677, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.4825, predictive_accuracy: 0.5689, prior_entropy: 1.5899, recall: 0.5689, relative_absolute_error: 0.922, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.4152, root_relative_squared_error: 1.0979, scimark_benchmark: 1327.2954, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6277, f_measure: 0.5308, kappa: 0.1714, kb_relative_information_score: 139.0272, mean_absolute_error: 0.2418, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.5275, predictive_accuracy: 0.5351, prior_entropy: 1.5899, recall: 0.5351, relative_absolute_error: 0.8328, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.4356, root_relative_squared_error: 1.152, scimark_benchmark: 1301.2156, usercpu_time_millis: 50, usercpu_time_millis_training: 50,

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