Task
Supervised Classification on anneal

Supervised Classification on anneal

Task 3852 Supervised Classification anneal 519 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9425, kappa: 0.8425, kb_relative_information_score: 613.9459, mean_absolute_error: 0.1194, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.943, predictive_accuracy: 0.9421, prior_entropy: 0.7932, recall: 0.9421, relative_absolute_error: 0.3287, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.5114, scimark_benchmark: 1314.7093, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, f_measure: 0.8861, kappa: 0.696, kb_relative_information_score: 478.4182, mean_absolute_error: 0.1632, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.8926, predictive_accuracy: 0.8831, prior_entropy: 0.7932, recall: 0.8831, relative_absolute_error: 0.4492, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2831, root_relative_squared_error: 0.6646, scimark_benchmark: 932.5646, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6875, f_measure: 0.8181, kappa: 0.4626, kb_relative_information_score: 456.6049, mean_absolute_error: 0.1581, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.8467, predictive_accuracy: 0.8419, prior_entropy: 0.7932, recall: 0.8419, relative_absolute_error: 0.4352, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.3977, root_relative_squared_error: 0.9334, scimark_benchmark: 1371.174, usercpu_time_millis: 470, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9425, kappa: 0.8425, kb_relative_information_score: 613.9459, mean_absolute_error: 0.1194, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.943, predictive_accuracy: 0.9421, prior_entropy: 0.7932, recall: 0.9421, relative_absolute_error: 0.3287, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.5114, scimark_benchmark: 1318.6096, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9284, kappa: 0.8018, kb_relative_information_score: 642.745, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9281, predictive_accuracy: 0.9287, prior_entropy: 0.7932, recall: 0.9287, relative_absolute_error: 0.2739, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2202, root_relative_squared_error: 0.5167, scimark_benchmark: 1329.1398, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9764, kappa: 0.9344, kb_relative_information_score: 732.7864, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9766, predictive_accuracy: 0.9766, prior_entropy: 0.7932, recall: 0.9766, relative_absolute_error: 0.2012, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.1638, root_relative_squared_error: 0.3846, scimark_benchmark: 1319.952, usercpu_time_millis: 1300, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9371, f_measure: 0.8835, kappa: 0.6805, kb_relative_information_score: 516.4818, mean_absolute_error: 0.146, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.8841, predictive_accuracy: 0.8831, prior_entropy: 0.7932, recall: 0.8831, relative_absolute_error: 0.4019, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.273, root_relative_squared_error: 0.6407, scimark_benchmark: 1344.7524, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9284, kappa: 0.8018, kb_relative_information_score: 642.745, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9281, predictive_accuracy: 0.9287, prior_entropy: 0.7932, recall: 0.9287, relative_absolute_error: 0.2739, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2202, root_relative_squared_error: 0.5167, scimark_benchmark: 1342.6744, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9497, kappa: 0.8608, kb_relative_information_score: 640.2323, mean_absolute_error: 0.113, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9496, predictive_accuracy: 0.9499, prior_entropy: 0.7932, recall: 0.9499, relative_absolute_error: 0.3111, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.1986, root_relative_squared_error: 0.466, scimark_benchmark: 1344.7524, usercpu_time_millis: 770, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9485, f_measure: 0.8898, kappa: 0.6911, kb_relative_information_score: 484.5249, mean_absolute_error: 0.1651, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.8892, predictive_accuracy: 0.892, prior_entropy: 0.7932, recall: 0.892, relative_absolute_error: 0.4543, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2736, root_relative_squared_error: 0.6423, scimark_benchmark: 1264.9916, usercpu_time_millis: 20630, usercpu_time_millis_testing: 290, usercpu_time_millis_training: 20340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9284, kappa: 0.8018, kb_relative_information_score: 642.745, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9281, predictive_accuracy: 0.9287, prior_entropy: 0.7932, recall: 0.9287, relative_absolute_error: 0.2739, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2202, root_relative_squared_error: 0.5167, scimark_benchmark: 938.0414, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9497, kappa: 0.8608, kb_relative_information_score: 640.2323, mean_absolute_error: 0.113, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9496, predictive_accuracy: 0.9499, prior_entropy: 0.7932, recall: 0.9499, relative_absolute_error: 0.3111, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.1986, root_relative_squared_error: 0.466, scimark_benchmark: 1326.8946, usercpu_time_millis: 1080, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6875, f_measure: 0.8181, kappa: 0.4626, kb_relative_information_score: 456.6049, mean_absolute_error: 0.1581, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.8467, predictive_accuracy: 0.8419, prior_entropy: 0.7932, recall: 0.8419, relative_absolute_error: 0.4352, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.3977, root_relative_squared_error: 0.9334, scimark_benchmark: 1341.3551, usercpu_time_millis: 470, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, f_measure: 0.8861, kappa: 0.696, kb_relative_information_score: 478.4182, mean_absolute_error: 0.1632, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.8926, predictive_accuracy: 0.8831, prior_entropy: 0.7932, recall: 0.8831, relative_absolute_error: 0.4492, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2831, root_relative_squared_error: 0.6646, scimark_benchmark: 1260.1387, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, f_measure: 0.8861, kappa: 0.696, kb_relative_information_score: 478.4182, mean_absolute_error: 0.1632, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.8926, predictive_accuracy: 0.8831, prior_entropy: 0.7932, recall: 0.8831, relative_absolute_error: 0.4492, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2831, root_relative_squared_error: 0.6646, scimark_benchmark: 938.0414, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9497, kappa: 0.8608, kb_relative_information_score: 640.2323, mean_absolute_error: 0.113, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9496, predictive_accuracy: 0.9499, prior_entropy: 0.7932, recall: 0.9499, relative_absolute_error: 0.3111, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.1986, root_relative_squared_error: 0.466, scimark_benchmark: 1322.7257, usercpu_time_millis: 730, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9284, kappa: 0.8018, kb_relative_information_score: 642.745, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9281, predictive_accuracy: 0.9287, prior_entropy: 0.7932, recall: 0.9287, relative_absolute_error: 0.2739, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2202, root_relative_squared_error: 0.5167, scimark_benchmark: 1354.3488, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9485, f_measure: 0.8898, kappa: 0.6911, kb_relative_information_score: 484.5249, mean_absolute_error: 0.1651, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.8892, predictive_accuracy: 0.892, prior_entropy: 0.7932, recall: 0.892, relative_absolute_error: 0.4543, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2736, root_relative_squared_error: 0.6423, scimark_benchmark: 1339.2472, usercpu_time_millis: 22640, usercpu_time_millis_testing: 310, usercpu_time_millis_training: 22330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9425, kappa: 0.8425, kb_relative_information_score: 613.9459, mean_absolute_error: 0.1194, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.943, predictive_accuracy: 0.9421, prior_entropy: 0.7932, recall: 0.9421, relative_absolute_error: 0.3287, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.5114, scimark_benchmark: 1342.2845, usercpu_time_millis: 150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9284, kappa: 0.8018, kb_relative_information_score: 642.745, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9281, predictive_accuracy: 0.9287, prior_entropy: 0.7932, recall: 0.9287, relative_absolute_error: 0.2739, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2202, root_relative_squared_error: 0.5167, scimark_benchmark: 1332.9478, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9284, kappa: 0.8018, kb_relative_information_score: 642.745, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9281, predictive_accuracy: 0.9287, prior_entropy: 0.7932, recall: 0.9287, relative_absolute_error: 0.2739, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2202, root_relative_squared_error: 0.5167, scimark_benchmark: 1331.1314, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9284, kappa: 0.8018, kb_relative_information_score: 642.745, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9281, predictive_accuracy: 0.9287, prior_entropy: 0.7932, recall: 0.9287, relative_absolute_error: 0.2739, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2202, root_relative_squared_error: 0.5167, scimark_benchmark: 1306.9281, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9284, kappa: 0.8018, kb_relative_information_score: 642.745, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9281, predictive_accuracy: 0.9287, prior_entropy: 0.7932, recall: 0.9287, relative_absolute_error: 0.2739, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2202, root_relative_squared_error: 0.5167, scimark_benchmark: 908.2231, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6875, f_measure: 0.8181, kappa: 0.4626, kb_relative_information_score: 456.6049, mean_absolute_error: 0.1581, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.8467, predictive_accuracy: 0.8419, prior_entropy: 0.7932, recall: 0.8419, relative_absolute_error: 0.4352, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.3977, root_relative_squared_error: 0.9334, scimark_benchmark: 1303.5632, usercpu_time_millis: 470, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, f_measure: 0.8861, kappa: 0.696, kb_relative_information_score: 478.4182, mean_absolute_error: 0.1632, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.8926, predictive_accuracy: 0.8831, prior_entropy: 0.7932, recall: 0.8831, relative_absolute_error: 0.4492, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2831, root_relative_squared_error: 0.6646, scimark_benchmark: 929.0363, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, f_measure: 0.8861, kappa: 0.696, kb_relative_information_score: 478.4182, mean_absolute_error: 0.1632, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.8926, predictive_accuracy: 0.8831, prior_entropy: 0.7932, recall: 0.8831, relative_absolute_error: 0.4492, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2831, root_relative_squared_error: 0.6646, scimark_benchmark: 1313.8988, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6875, f_measure: 0.8181, kappa: 0.4626, kb_relative_information_score: 456.6049, mean_absolute_error: 0.1581, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.8467, predictive_accuracy: 0.8419, prior_entropy: 0.7932, recall: 0.8419, relative_absolute_error: 0.4352, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.3977, root_relative_squared_error: 0.9334, scimark_benchmark: 1347.6543, usercpu_time_millis: 480, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9425, kappa: 0.8425, kb_relative_information_score: 613.9459, mean_absolute_error: 0.1194, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.943, predictive_accuracy: 0.9421, prior_entropy: 0.7932, recall: 0.9421, relative_absolute_error: 0.3287, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.5114, scimark_benchmark: 1313.8988, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9778, kappa: 0.9392, kb_relative_information_score: 703.8175, mean_absolute_error: 0.091, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9781, predictive_accuracy: 0.9777, prior_entropy: 0.7932, recall: 0.9777, relative_absolute_error: 0.2504, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.1628, root_relative_squared_error: 0.3822, scimark_benchmark: 1292.514, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9764, kappa: 0.9344, kb_relative_information_score: 732.7864, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9766, predictive_accuracy: 0.9766, prior_entropy: 0.7932, recall: 0.9766, relative_absolute_error: 0.2012, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.1638, root_relative_squared_error: 0.3846, scimark_benchmark: 1331.7953, usercpu_time_millis: 1360, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9284, kappa: 0.8018, kb_relative_information_score: 642.745, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9281, predictive_accuracy: 0.9287, prior_entropy: 0.7932, recall: 0.9287, relative_absolute_error: 0.2739, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2202, root_relative_squared_error: 0.5167, scimark_benchmark: 1331.2559, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9284, kappa: 0.8018, kb_relative_information_score: 642.745, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9281, predictive_accuracy: 0.9287, prior_entropy: 0.7932, recall: 0.9287, relative_absolute_error: 0.2739, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2202, root_relative_squared_error: 0.5167, scimark_benchmark: 1333.202, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9778, kappa: 0.9392, kb_relative_information_score: 703.8175, mean_absolute_error: 0.091, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9781, predictive_accuracy: 0.9777, prior_entropy: 0.7932, recall: 0.9777, relative_absolute_error: 0.2504, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.1628, root_relative_squared_error: 0.3822, scimark_benchmark: 1358.6198, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9284, kappa: 0.8018, kb_relative_information_score: 642.745, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9281, predictive_accuracy: 0.9287, prior_entropy: 0.7932, recall: 0.9287, relative_absolute_error: 0.2739, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2202, root_relative_squared_error: 0.5167, scimark_benchmark: 1310.6554, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9284, kappa: 0.8018, kb_relative_information_score: 642.745, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9281, predictive_accuracy: 0.9287, prior_entropy: 0.7932, recall: 0.9287, relative_absolute_error: 0.2739, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2202, root_relative_squared_error: 0.5167, scimark_benchmark: 1329.8008, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9425, kappa: 0.8425, kb_relative_information_score: 613.9459, mean_absolute_error: 0.1194, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.943, predictive_accuracy: 0.9421, prior_entropy: 0.7932, recall: 0.9421, relative_absolute_error: 0.3287, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.5114, scimark_benchmark: 1309.4998, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9495, f_measure: 0.9217, kappa: 0.7832, kb_relative_information_score: 593.418, mean_absolute_error: 0.1208, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9214, predictive_accuracy: 0.922, prior_entropy: 0.7932, recall: 0.922, relative_absolute_error: 0.3324, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2529, root_relative_squared_error: 0.5936, scimark_benchmark: 473.1656, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8442, f_measure: 0.8584, kappa: 0.6196, kb_relative_information_score: 359.2225, mean_absolute_error: 0.2177, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.8636, predictive_accuracy: 0.8552, prior_entropy: 0.7932, recall: 0.8552, relative_absolute_error: 0.5992, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.3305, root_relative_squared_error: 0.7757, scimark_benchmark: 479.2609, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9425, kappa: 0.8425, kb_relative_information_score: 613.9459, mean_absolute_error: 0.1194, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.943, predictive_accuracy: 0.9421, prior_entropy: 0.7932, recall: 0.9421, relative_absolute_error: 0.3287, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.5114, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6875, f_measure: 0.8181, kappa: 0.4626, kb_relative_information_score: 456.6049, mean_absolute_error: 0.1581, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.8467, predictive_accuracy: 0.8419, prior_entropy: 0.7932, recall: 0.8419, relative_absolute_error: 0.4352, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.3977, root_relative_squared_error: 0.9334, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9789, kappa: 0.942, kb_relative_information_score: 719.1834, mean_absolute_error: 0.0837, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.979, predictive_accuracy: 0.9788, prior_entropy: 0.7932, recall: 0.9788, relative_absolute_error: 0.2304, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.173, root_relative_squared_error: 0.406, scimark_benchmark: 851.2074, usercpu_time_millis: 370, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9778, kappa: 0.9392, kb_relative_information_score: 703.8175, mean_absolute_error: 0.091, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9781, predictive_accuracy: 0.9777, prior_entropy: 0.7932, recall: 0.9777, relative_absolute_error: 0.2504, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.1628, root_relative_squared_error: 0.3822, scimark_benchmark: 972.587, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4926, f_measure: 0.6587, kb_relative_information_score: -0.8602, mean_absolute_error: 0.3634, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 0.7932, recall: 0.7617, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.4261, root_relative_squared_error: 1, scimark_benchmark: 473.1656, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8498, f_measure: 0.889, kappa: 0.6952, kb_relative_information_score: 586.8328, mean_absolute_error: 0.1114, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.8894, predictive_accuracy: 0.8886, prior_entropy: 0.7932, recall: 0.8886, relative_absolute_error: 0.3065, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.3337, root_relative_squared_error: 0.7833, scimark_benchmark: 1870.7932, usercpu_time_millis: 62.4004, usercpu_time_millis_training: 62.4004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.956, kappa: 0.8774, kb_relative_information_score: 729.4706, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9562, predictive_accuracy: 0.9566, prior_entropy: 0.7932, recall: 0.9566, relative_absolute_error: 0.1955, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.4102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9479, f_measure: 0.8792, kappa: 0.6721, kb_relative_information_score: 516.2724, mean_absolute_error: 0.1372, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.8817, predictive_accuracy: 0.8775, prior_entropy: 0.7932, recall: 0.8775, relative_absolute_error: 0.3776, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2793, root_relative_squared_error: 0.6555, scimark_benchmark: 1873.1108, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9327, f_measure: 0.8858, kappa: 0.6866, kb_relative_information_score: 504.7063, mean_absolute_error: 0.1517, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.8863, predictive_accuracy: 0.8853, prior_entropy: 0.7932, recall: 0.8853, relative_absolute_error: 0.4176, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2916, root_relative_squared_error: 0.6844, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.961, f_measure: 0.8956, kappa: 0.6962, kb_relative_information_score: 604.1926, mean_absolute_error: 0.1121, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9129, predictive_accuracy: 0.9042, prior_entropy: 0.7932, recall: 0.9042, relative_absolute_error: 0.3086, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2539, root_relative_squared_error: 0.596, scimark_benchmark: 1873.1108, usercpu_time_millis: 312.5, usercpu_time_millis_testing: 312.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8985, f_measure: 0.8276, kappa: 0.5443, kb_relative_information_score: 315.2798, mean_absolute_error: 0.2077, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.8383, predictive_accuracy: 0.8218, prior_entropy: 0.7932, recall: 0.8218, relative_absolute_error: 0.5717, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.3398, root_relative_squared_error: 0.7975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8534, f_measure: 0.8814, kappa: 0.6717, kb_relative_information_score: 554.1808, mean_absolute_error: 0.1249, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.8809, predictive_accuracy: 0.882, prior_entropy: 0.7932, recall: 0.882, relative_absolute_error: 0.3439, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.3336, root_relative_squared_error: 0.7829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9614, f_measure: 0.9192, kappa: 0.7687, kb_relative_information_score: 661.1465, mean_absolute_error: 0.0912, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9251, predictive_accuracy: 0.9232, prior_entropy: 0.7932, recall: 0.9232, relative_absolute_error: 0.251, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2328, root_relative_squared_error: 0.5464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.9278, kappa: 0.7939, kb_relative_information_score: 675.0855, mean_absolute_error: 0.084, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9327, predictive_accuracy: 0.931, prior_entropy: 0.7932, recall: 0.931, relative_absolute_error: 0.2312, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2325, root_relative_squared_error: 0.5458, scimark_benchmark: 1873.1108, usercpu_time_millis: 312.5, usercpu_time_millis_testing: 312.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9482, f_measure: 0.8742, kappa: 0.6433, kb_relative_information_score: 454.9868, mean_absolute_error: 0.1813, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.8744, predictive_accuracy: 0.8786, prior_entropy: 0.7932, recall: 0.8786, relative_absolute_error: 0.4991, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2833, root_relative_squared_error: 0.6649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.9375, kappa: 0.8277, kb_relative_information_score: 613.3149, mean_absolute_error: 0.1193, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9375, predictive_accuracy: 0.9376, prior_entropy: 0.7932, recall: 0.9376, relative_absolute_error: 0.3282, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2251, root_relative_squared_error: 0.5284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6253, f_measure: 0.7752, kappa: 0.3329, kb_relative_information_score: 29.426, mean_absolute_error: 0.3212, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.8059, predictive_accuracy: 0.8107, prior_entropy: 0.7932, recall: 0.8107, relative_absolute_error: 0.884, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.404, root_relative_squared_error: 0.9482, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6401, f_measure: 0.7201, kappa: 0.1675, kb_relative_information_score: 18.3791, mean_absolute_error: 0.3365, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.7408, predictive_accuracy: 0.7739, prior_entropy: 0.7932, recall: 0.7739, relative_absolute_error: 0.9262, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.4227, root_relative_squared_error: 0.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9271, kappa: 0.7931, kb_relative_information_score: 458.6057, mean_absolute_error: 0.1973, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9302, predictive_accuracy: 0.9298, prior_entropy: 0.7932, recall: 0.9298, relative_absolute_error: 0.543, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2601, root_relative_squared_error: 0.6105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4926, f_measure: 0.6587, kb_relative_information_score: -0.8602, mean_absolute_error: 0.3634, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 0.7932, recall: 0.7617, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.4261, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.9311, kappa: 0.8104, kb_relative_information_score: 619.0763, mean_absolute_error: 0.1134, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9312, predictive_accuracy: 0.931, prior_entropy: 0.7932, recall: 0.931, relative_absolute_error: 0.3122, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2322, root_relative_squared_error: 0.5449, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.647, f_measure: 0.7369, kappa: 0.2259, kb_relative_information_score: 117.5473, mean_absolute_error: 0.2989, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.7343, predictive_accuracy: 0.7673, prior_entropy: 0.7932, recall: 0.7673, relative_absolute_error: 0.8227, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.4417, root_relative_squared_error: 1.0366,

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