Task
Supervised Classification on anneal

Supervised Classification on anneal

Task 2 Supervised Classification anneal 5745 runs submitted
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  • at2 basic d3m study_1 study_107 study_14 study_41 study_70 study_73 under100k
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.9286, kappa: 0.8257, kb_relative_information_score: 694.7601, mean_absolute_error: 0.0344, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9349, predictive_accuracy: 0.9265, prior_entropy: 1.2149, recall: 0.9265, relative_absolute_error: 0.2559, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1378, root_relative_squared_error: 0.5336, scimark_benchmark: 922.5036, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.966, kappa: 0.9155, kb_relative_information_score: 783.9223, mean_absolute_error: 0.0177, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9664, predictive_accuracy: 0.9666, prior_entropy: 1.2149, recall: 0.9666, relative_absolute_error: 0.1318, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0915, root_relative_squared_error: 0.3544, scimark_benchmark: 945.0194, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.966, kappa: 0.9155, kb_relative_information_score: 783.9223, mean_absolute_error: 0.0177, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9664, predictive_accuracy: 0.9666, prior_entropy: 1.2149, recall: 0.9666, relative_absolute_error: 0.1318, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0915, root_relative_squared_error: 0.3544, scimark_benchmark: 938.838, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9343, kappa: 0.8355, kb_relative_information_score: 670.1848, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9348, predictive_accuracy: 0.9354, prior_entropy: 1.2149, recall: 0.9354, relative_absolute_error: 0.3188, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.131, root_relative_squared_error: 0.5072, scimark_benchmark: 946.9304, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.966, kappa: 0.9155, kb_relative_information_score: 783.9223, mean_absolute_error: 0.0177, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9664, predictive_accuracy: 0.9666, prior_entropy: 1.2149, recall: 0.9666, relative_absolute_error: 0.1318, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0915, root_relative_squared_error: 0.3544, scimark_benchmark: 942.3809, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.975, kappa: 0.9371, kb_relative_information_score: 759.0605, mean_absolute_error: 0.0241, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9756, predictive_accuracy: 0.9755, prior_entropy: 1.2149, recall: 0.9755, relative_absolute_error: 0.1794, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0976, root_relative_squared_error: 0.3778, scimark_benchmark: 949.7766, usercpu_time_millis: 1710, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 1670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9443, kappa: 0.8608, kb_relative_information_score: 699.4785, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9444, predictive_accuracy: 0.9443, prior_entropy: 1.2149, recall: 0.9443, relative_absolute_error: 0.2939, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1179, root_relative_squared_error: 0.4565, scimark_benchmark: 942.3809, usercpu_time_millis: 920, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.9041, kappa: 0.7654, kb_relative_information_score: 631.3211, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9079, predictive_accuracy: 0.9065, prior_entropy: 1.2149, recall: 0.9065, relative_absolute_error: 0.3232, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1507, root_relative_squared_error: 0.5835, scimark_benchmark: 933.4598, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.966, kappa: 0.9155, kb_relative_information_score: 783.9223, mean_absolute_error: 0.0177, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9664, predictive_accuracy: 0.9666, prior_entropy: 1.2149, recall: 0.9666, relative_absolute_error: 0.1318, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0915, root_relative_squared_error: 0.3544, scimark_benchmark: 1332.1612, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9443, kappa: 0.8608, kb_relative_information_score: 699.4785, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9444, predictive_accuracy: 0.9443, prior_entropy: 1.2149, recall: 0.9443, relative_absolute_error: 0.2939, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1179, root_relative_squared_error: 0.4565, scimark_benchmark: 1327.5842, usercpu_time_millis: 720, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9443, kappa: 0.8608, kb_relative_information_score: 699.4785, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9444, predictive_accuracy: 0.9443, prior_entropy: 1.2149, recall: 0.9443, relative_absolute_error: 0.2939, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1179, root_relative_squared_error: 0.4565, scimark_benchmark: 1318.6467, usercpu_time_millis: 1010, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.966, kappa: 0.9155, kb_relative_information_score: 783.9223, mean_absolute_error: 0.0177, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9664, predictive_accuracy: 0.9666, prior_entropy: 1.2149, recall: 0.9666, relative_absolute_error: 0.1318, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0915, root_relative_squared_error: 0.3544, scimark_benchmark: 1309.4998, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.9041, kappa: 0.7654, kb_relative_information_score: 631.3211, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9079, predictive_accuracy: 0.9065, prior_entropy: 1.2149, recall: 0.9065, relative_absolute_error: 0.3232, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1507, root_relative_squared_error: 0.5835, scimark_benchmark: 1324.9519, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.966, kappa: 0.9155, kb_relative_information_score: 783.9223, mean_absolute_error: 0.0177, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9664, predictive_accuracy: 0.9666, prior_entropy: 1.2149, recall: 0.9666, relative_absolute_error: 0.1318, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0915, root_relative_squared_error: 0.3544, scimark_benchmark: 1336.0954, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6885, f_measure: 0.8147, kappa: 0.4913, kb_relative_information_score: 458.4842, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8517, predictive_accuracy: 0.8441, prior_entropy: 1.2149, recall: 0.8441, relative_absolute_error: 0.3869, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.228, root_relative_squared_error: 0.8828, scimark_benchmark: 1303.5632, usercpu_time_millis: 740, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.966, kappa: 0.9155, kb_relative_information_score: 783.9223, mean_absolute_error: 0.0177, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9664, predictive_accuracy: 0.9666, prior_entropy: 1.2149, recall: 0.9666, relative_absolute_error: 0.1318, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0915, root_relative_squared_error: 0.3544, scimark_benchmark: 1303.5632, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9343, kappa: 0.8355, kb_relative_information_score: 670.1848, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9348, predictive_accuracy: 0.9354, prior_entropy: 1.2149, recall: 0.9354, relative_absolute_error: 0.3188, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.131, root_relative_squared_error: 0.5072, scimark_benchmark: 1338.5214, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9443, kappa: 0.8608, kb_relative_information_score: 699.4785, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9444, predictive_accuracy: 0.9443, prior_entropy: 1.2149, recall: 0.9443, relative_absolute_error: 0.2939, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1179, root_relative_squared_error: 0.4565, scimark_benchmark: 1296.8947, usercpu_time_millis: 840, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6885, f_measure: 0.8147, kappa: 0.4913, kb_relative_information_score: 458.4842, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8517, predictive_accuracy: 0.8441, prior_entropy: 1.2149, recall: 0.8441, relative_absolute_error: 0.3869, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.228, root_relative_squared_error: 0.8828, scimark_benchmark: 1346.2927, usercpu_time_millis: 730, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.966, kappa: 0.9155, kb_relative_information_score: 783.9223, mean_absolute_error: 0.0177, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9664, predictive_accuracy: 0.9666, prior_entropy: 1.2149, recall: 0.9666, relative_absolute_error: 0.1318, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0915, root_relative_squared_error: 0.3544, scimark_benchmark: 1325.8468, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9443, kappa: 0.8608, kb_relative_information_score: 699.4785, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9444, predictive_accuracy: 0.9443, prior_entropy: 1.2149, recall: 0.9443, relative_absolute_error: 0.2939, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1179, root_relative_squared_error: 0.4565, scimark_benchmark: 1318.6467, usercpu_time_millis: 1020, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6885, f_measure: 0.8147, kappa: 0.4913, kb_relative_information_score: 458.4842, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8517, predictive_accuracy: 0.8441, prior_entropy: 1.2149, recall: 0.8441, relative_absolute_error: 0.3869, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.228, root_relative_squared_error: 0.8828, scimark_benchmark: 1350.2591, usercpu_time_millis: 710, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.9286, kappa: 0.8257, kb_relative_information_score: 694.7601, mean_absolute_error: 0.0344, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9349, predictive_accuracy: 0.9265, prior_entropy: 1.2149, recall: 0.9265, relative_absolute_error: 0.2559, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1378, root_relative_squared_error: 0.5336, scimark_benchmark: 1324.6442, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9443, kappa: 0.8608, kb_relative_information_score: 699.4785, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9444, predictive_accuracy: 0.9443, prior_entropy: 1.2149, recall: 0.9443, relative_absolute_error: 0.2939, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1179, root_relative_squared_error: 0.4565, scimark_benchmark: 1316.5668, usercpu_time_millis: 1400, usercpu_time_millis_testing: 370, usercpu_time_millis_training: 1030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6885, f_measure: 0.8147, kappa: 0.4913, kb_relative_information_score: 458.4842, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8517, predictive_accuracy: 0.8441, prior_entropy: 1.2149, recall: 0.8441, relative_absolute_error: 0.3869, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.228, root_relative_squared_error: 0.8828, scimark_benchmark: 1317.071, usercpu_time_millis: 740, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6885, f_measure: 0.8147, kappa: 0.4913, kb_relative_information_score: 458.4842, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8517, predictive_accuracy: 0.8441, prior_entropy: 1.2149, recall: 0.8441, relative_absolute_error: 0.3869, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.228, root_relative_squared_error: 0.8828, scimark_benchmark: 1316.5668, usercpu_time_millis: 740, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.9286, kappa: 0.8257, kb_relative_information_score: 694.7601, mean_absolute_error: 0.0344, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9349, predictive_accuracy: 0.9265, prior_entropy: 1.2149, recall: 0.9265, relative_absolute_error: 0.2559, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1378, root_relative_squared_error: 0.5336, scimark_benchmark: 1331.2559, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9443, kappa: 0.8608, kb_relative_information_score: 699.4785, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9444, predictive_accuracy: 0.9443, prior_entropy: 1.2149, recall: 0.9443, relative_absolute_error: 0.2939, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1179, root_relative_squared_error: 0.4565, scimark_benchmark: 1343.3311, usercpu_time_millis: 990, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6885, f_measure: 0.8147, kappa: 0.4913, kb_relative_information_score: 458.4842, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8517, predictive_accuracy: 0.8441, prior_entropy: 1.2149, recall: 0.8441, relative_absolute_error: 0.3869, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.228, root_relative_squared_error: 0.8828, scimark_benchmark: 1317.5857, usercpu_time_millis: 730, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6885, f_measure: 0.8147, kappa: 0.4913, kb_relative_information_score: 458.4842, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8517, predictive_accuracy: 0.8441, prior_entropy: 1.2149, recall: 0.8441, relative_absolute_error: 0.3869, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.228, root_relative_squared_error: 0.8828, scimark_benchmark: 1306.9281, usercpu_time_millis: 740, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.966, kappa: 0.9155, kb_relative_information_score: 783.9223, mean_absolute_error: 0.0177, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9664, predictive_accuracy: 0.9666, prior_entropy: 1.2149, recall: 0.9666, relative_absolute_error: 0.1318, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0915, root_relative_squared_error: 0.3544, scimark_benchmark: 1321.8321, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.966, kappa: 0.9155, kb_relative_information_score: 783.9223, mean_absolute_error: 0.0177, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9664, predictive_accuracy: 0.9666, prior_entropy: 1.2149, recall: 0.9666, relative_absolute_error: 0.1318, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0915, root_relative_squared_error: 0.3544, scimark_benchmark: 1331.1314, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9343, kappa: 0.8355, kb_relative_information_score: 670.1848, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9348, predictive_accuracy: 0.9354, prior_entropy: 1.2149, recall: 0.9354, relative_absolute_error: 0.3188, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.131, root_relative_squared_error: 0.5072, scimark_benchmark: 1327.3335, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.966, kappa: 0.9155, kb_relative_information_score: 783.9223, mean_absolute_error: 0.0177, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9664, predictive_accuracy: 0.9666, prior_entropy: 1.2149, recall: 0.9666, relative_absolute_error: 0.1318, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0915, root_relative_squared_error: 0.3544, scimark_benchmark: 1317.5348, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.975, kappa: 0.9371, kb_relative_information_score: 759.0605, mean_absolute_error: 0.0241, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9756, predictive_accuracy: 0.9755, prior_entropy: 1.2149, recall: 0.9755, relative_absolute_error: 0.1794, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0976, root_relative_squared_error: 0.3778, scimark_benchmark: 1321.6503, usercpu_time_millis: 2080, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 1970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6229, f_measure: 0.5554, kappa: 0.1512, kb_relative_information_score: -257.8559, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7334, predictive_accuracy: 0.4599, prior_entropy: 1.2149, recall: 0.4599, relative_absolute_error: 1.3405, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.6432, scimark_benchmark: 1331.0047, usercpu_time_millis: 410, usercpu_time_millis_training: 410,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, f_measure: 0.6587, kb_relative_information_score: -1.2439, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1, scimark_benchmark: 1316.7714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.882, f_measure: 0.9779, kappa: 0.9451, kb_relative_information_score: -599.763, mean_absolute_error: 0.2472, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9789, predictive_accuracy: 0.9777, prior_entropy: 1.2149, recall: 0.9777, relative_absolute_error: 1.8408, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3397, root_relative_squared_error: 1.3156, scimark_benchmark: 1313.6093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.8493, kappa: 0.6131, kb_relative_information_score: 499.5731, mean_absolute_error: 0.083, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8926, predictive_accuracy: 0.8764, prior_entropy: 1.2149, recall: 0.8764, relative_absolute_error: 0.6182, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1709, root_relative_squared_error: 0.6618, scimark_benchmark: 1328.8457, usercpu_time_millis: 1200, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 1080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9966, kappa: 0.9917, kb_relative_information_score: 867.1414, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9968, predictive_accuracy: 0.9967, prior_entropy: 1.2149, recall: 0.9967, relative_absolute_error: 0.0157, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.037, root_relative_squared_error: 0.1432, scimark_benchmark: 1270.2428, usercpu_time_millis: 420, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9307, kappa: 0.826, kb_relative_information_score: 667.7972, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9313, predictive_accuracy: 0.9321, prior_entropy: 1.2149, recall: 0.9321, relative_absolute_error: 0.3222, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1316, root_relative_squared_error: 0.5098, scimark_benchmark: 1330.8781, usercpu_time_millis: 590, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.966, kappa: 0.9155, kb_relative_information_score: 783.9223, mean_absolute_error: 0.0177, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9664, predictive_accuracy: 0.9666, prior_entropy: 1.2149, recall: 0.9666, relative_absolute_error: 0.1318, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0915, root_relative_squared_error: 0.3544, scimark_benchmark: 854.6529, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8708, f_measure: 0.8811, kappa: 0.6995, kb_relative_information_score: 586.543, mean_absolute_error: 0.0459, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.882, predictive_accuracy: 0.882, prior_entropy: 1.2149, recall: 0.882, relative_absolute_error: 0.3421, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1875, root_relative_squared_error: 0.726, scimark_benchmark: 1315.3709, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8708, f_measure: 0.8811, kappa: 0.6995, kb_relative_information_score: 586.543, mean_absolute_error: 0.0459, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.882, predictive_accuracy: 0.882, prior_entropy: 1.2149, recall: 0.882, relative_absolute_error: 0.3421, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1875, root_relative_squared_error: 0.726, scimark_benchmark: 1360.2771, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.9041, kappa: 0.7654, kb_relative_information_score: 631.3211, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9079, predictive_accuracy: 0.9065, prior_entropy: 1.2149, recall: 0.9065, relative_absolute_error: 0.3232, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1507, root_relative_squared_error: 0.5835, scimark_benchmark: 1350.9691, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9319, f_measure: 0.7629, kappa: 0.5419, kb_relative_information_score: 358.3541, mean_absolute_error: 0.0935, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8679, predictive_accuracy: 0.7405, prior_entropy: 1.2149, recall: 0.7405, relative_absolute_error: 0.696, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2546, root_relative_squared_error: 0.9862, scimark_benchmark: 1297.6356, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9324, f_measure: 0.7679, kappa: 0.5498, kb_relative_information_score: 371.8902, mean_absolute_error: 0.0912, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8707, predictive_accuracy: 0.7461, prior_entropy: 1.2149, recall: 0.7461, relative_absolute_error: 0.6793, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.251, root_relative_squared_error: 0.9721, scimark_benchmark: 1350.9691, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8894, f_measure: 0.788, kappa: 0.4575, kb_relative_information_score: 215.4333, mean_absolute_error: 0.1172, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7713, predictive_accuracy: 0.8241, prior_entropy: 1.2149, recall: 0.8241, relative_absolute_error: 0.8729, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2154, root_relative_squared_error: 0.8342, scimark_benchmark: 1334.9657, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9885, kappa: 0.9721, kb_relative_information_score: 849.7576, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.989, predictive_accuracy: 0.9889, prior_entropy: 1.2149, recall: 0.9889, relative_absolute_error: 0.0387, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0543, root_relative_squared_error: 0.2104, scimark_benchmark: 1323.237, usercpu_time_millis: 28430, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 28400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9334, f_measure: 0.8699, kappa: 0.6787, kb_relative_information_score: 580.5365, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8715, predictive_accuracy: 0.8742, prior_entropy: 1.2149, recall: 0.8742, relative_absolute_error: 0.3988, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1777, root_relative_squared_error: 0.6883, scimark_benchmark: 938.0414, usercpu_time_millis: 2440, usercpu_time_millis_training: 2440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9594, f_measure: 0.8972, kappa: 0.771, kb_relative_information_score: 543.349, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9109, predictive_accuracy: 0.9131, prior_entropy: 1.2149, recall: 0.9131, relative_absolute_error: 0.4387, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1645, root_relative_squared_error: 0.637, scimark_benchmark: 1348.8402, usercpu_time_millis: 1990, usercpu_time_millis_testing: 1990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9242, f_measure: 0.7762, kappa: 0.559, kb_relative_information_score: -32.1154, mean_absolute_error: 0.1549, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8843, predictive_accuracy: 0.7494, prior_entropy: 1.2149, recall: 0.7494, relative_absolute_error: 1.1534, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2677, root_relative_squared_error: 1.0367, scimark_benchmark: 1342.5243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6598, f_measure: 0.7624, kappa: 0.4347, kb_relative_information_score: 283.8671, mean_absolute_error: 0.0945, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7016, predictive_accuracy: 0.8363, prior_entropy: 1.2149, recall: 0.8363, relative_absolute_error: 0.7037, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2172, root_relative_squared_error: 0.8412, scimark_benchmark: 1264.6103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9652, kappa: 0.8871, kb_relative_information_score: 360.0107, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9809, predictive_accuracy: 0.9532, prior_entropy: 1.2149, recall: 0.9532, relative_absolute_error: 0.7445, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1663, root_relative_squared_error: 0.6441, scimark_benchmark: 1329.0992, usercpu_time_millis: 390, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9863, kappa: 0.9667, kb_relative_information_score: 833.2625, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9869, predictive_accuracy: 0.9866, prior_entropy: 1.2149, recall: 0.9866, relative_absolute_error: 0.044, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0688, root_relative_squared_error: 0.2664, scimark_benchmark: 1367.8403, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.9361, kappa: 0.84, kb_relative_information_score: 669.7767, mean_absolute_error: 0.0431, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9368, predictive_accuracy: 0.9376, prior_entropy: 1.2149, recall: 0.9376, relative_absolute_error: 0.3207, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1302, root_relative_squared_error: 0.5043, scimark_benchmark: 1356.9539, usercpu_time_millis: 2300, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 2250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.935, kappa: 0.8368, kb_relative_information_score: 671.7662, mean_absolute_error: 0.0427, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9356, predictive_accuracy: 0.9365, prior_entropy: 1.2149, recall: 0.9365, relative_absolute_error: 0.3179, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1298, root_relative_squared_error: 0.5025, scimark_benchmark: 1353.1316, usercpu_time_millis: 1340, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 1300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9307, kappa: 0.826, kb_relative_information_score: 670.2219, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9311, predictive_accuracy: 0.9321, prior_entropy: 1.2149, recall: 0.9321, relative_absolute_error: 0.3169, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.131, root_relative_squared_error: 0.5072, scimark_benchmark: 1338.01, usercpu_time_millis: 280, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9343, kappa: 0.8355, kb_relative_information_score: 670.1848, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9348, predictive_accuracy: 0.9354, prior_entropy: 1.2149, recall: 0.9354, relative_absolute_error: 0.3188, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.131, root_relative_squared_error: 0.5072, scimark_benchmark: 1321.1875, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, f_measure: 0.9503, kappa: 0.8763, kb_relative_information_score: 740.149, mean_absolute_error: 0.0232, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9499, predictive_accuracy: 0.951, prior_entropy: 1.2149, recall: 0.951, relative_absolute_error: 0.1727, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1173, root_relative_squared_error: 0.4542, scimark_benchmark: 825.5282, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, f_measure: 0.6587, kb_relative_information_score: -1.2439, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1, scimark_benchmark: 899.5042, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.8433, kappa: 0.5758, kb_relative_information_score: 505.4979, mean_absolute_error: 0.0811, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8829, predictive_accuracy: 0.8675, prior_entropy: 1.2149, recall: 0.8675, relative_absolute_error: 0.6041, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1703, root_relative_squared_error: 0.6594, scimark_benchmark: 938.9967, usercpu_time_millis: 260, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.8228, kappa: 0.531, kb_relative_information_score: 487.4434, mean_absolute_error: 0.0841, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.878, predictive_accuracy: 0.8563, prior_entropy: 1.2149, recall: 0.8563, relative_absolute_error: 0.6262, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1765, root_relative_squared_error: 0.6834, scimark_benchmark: 1307.4861, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9932, kappa: 0.9833, kb_relative_information_score: 863.3595, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9936, predictive_accuracy: 0.9933, prior_entropy: 1.2149, recall: 0.9933, relative_absolute_error: 0.016, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.042, root_relative_squared_error: 0.1627, scimark_benchmark: 887.6719, usercpu_time_millis: 1500, usercpu_time_millis_training: 1500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9876, kappa: 0.9695, kb_relative_information_score: 825.3884, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9879, predictive_accuracy: 0.9878, prior_entropy: 1.2149, recall: 0.9878, relative_absolute_error: 0.086, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0627, root_relative_squared_error: 0.2428, scimark_benchmark: 1386.5717, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9527, f_measure: 0.899, kappa: 0.7436, kb_relative_information_score: 614.3628, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8997, predictive_accuracy: 0.9009, prior_entropy: 1.2149, recall: 0.9009, relative_absolute_error: 0.3625, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1556, root_relative_squared_error: 0.6025, scimark_benchmark: 1310.3951, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, f_measure: 0.7624, kappa: 0.4347, kb_relative_information_score: 221.2536, mean_absolute_error: 0.1201, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7016, predictive_accuracy: 0.8363, prior_entropy: 1.2149, recall: 0.8363, relative_absolute_error: 0.8942, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2131, root_relative_squared_error: 0.8253, scimark_benchmark: 1325.2092, usercpu_time_millis: 10, usercpu_time_millis_training: 10,

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