Task
Supervised Classification on kdd_el_nino-small

Supervised Classification on kdd_el_nino-small

Task 3704 Supervised Classification kdd_el_nino-small 483 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: 0.9906, build_cpu_time: 0.1692, build_memory: 2703139490.22, f_measure: 0.9527, kappa: 0.896, kb_relative_information_score: 634.1417, mean_absolute_error: 0.0967, mean_prior_absolute_error: 0.4553, number_of_instances: 782, precision: 0.9526, predictive_accuracy: 0.9527, prior_entropy: 0.9348, recall: 0.9527, relative_absolute_error: 0.2124, root_mean_prior_squared_error: 0.4771, root_mean_squared_error: 0.1827, root_relative_squared_error: 0.3829, scimark_benchmark: 942.4049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9108, kappa: 0.805, kb_relative_information_score: 621.68, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.4553, number_of_instances: 782, precision: 0.9115, predictive_accuracy: 0.9105, prior_entropy: 0.9348, recall: 0.9105, relative_absolute_error: 0.1979, root_mean_prior_squared_error: 0.4771, root_mean_squared_error: 0.254, root_relative_squared_error: 0.5324, scimark_benchmark: 932.5646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.9286, kappa: 0.8435, kb_relative_information_score: 653.8338, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.4553, number_of_instances: 782, precision: 0.9289, predictive_accuracy: 0.9284, prior_entropy: 0.9348, recall: 0.9284, relative_absolute_error: 0.1573, root_mean_prior_squared_error: 0.4771, root_mean_squared_error: 0.2676, root_relative_squared_error: 0.5609, scimark_benchmark: 1322.7257, usercpu_time_millis: 130, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9523, f_measure: 0.8809, kappa: 0.7327, kb_relative_information_score: 510.5704, mean_absolute_error: 0.1664, mean_prior_absolute_error: 0.4553, number_of_instances: 782, precision: 0.8972, predictive_accuracy: 0.8862, prior_entropy: 0.9348, recall: 0.8862, relative_absolute_error: 0.3655, root_mean_prior_squared_error: 0.4771, root_mean_squared_error: 0.2792, root_relative_squared_error: 0.5851, scimark_benchmark: 1342.6744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9477, kappa: 0.8855, kb_relative_information_score: 678.0096, mean_absolute_error: 0.0605, mean_prior_absolute_error: 0.4553, number_of_instances: 782, precision: 0.948, predictive_accuracy: 0.9476, prior_entropy: 0.9348, recall: 0.9476, relative_absolute_error: 0.1329, root_mean_prior_squared_error: 0.4771, root_mean_squared_error: 0.194, root_relative_squared_error: 0.4066, scimark_benchmark: 1349.9109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9477, kappa: 0.8855, kb_relative_information_score: 678.0096, mean_absolute_error: 0.0605, mean_prior_absolute_error: 0.4553, number_of_instances: 782, precision: 0.948, predictive_accuracy: 0.9476, prior_entropy: 0.9348, recall: 0.9476, relative_absolute_error: 0.1329, root_mean_prior_squared_error: 0.4771, root_mean_squared_error: 0.194, root_relative_squared_error: 0.4066, scimark_benchmark: 1330.2425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9398, kappa: 0.8676, kb_relative_information_score: 639.2932, mean_absolute_error: 0.0866, mean_prior_absolute_error: 0.4553, number_of_instances: 782, precision: 0.9398, predictive_accuracy: 0.9399, prior_entropy: 0.9348, recall: 0.9399, relative_absolute_error: 0.1902, root_mean_prior_squared_error: 0.4771, root_mean_squared_error: 0.206, root_relative_squared_error: 0.4318, scimark_benchmark: 1347.5461, usercpu_time_millis: 2810, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 2540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.9258, kappa: 0.8368, kb_relative_information_score: 537.994, mean_absolute_error: 0.1533, mean_prior_absolute_error: 0.4553, number_of_instances: 782, precision: 0.9257, predictive_accuracy: 0.9258, prior_entropy: 0.9348, recall: 0.9258, relative_absolute_error: 0.3367, root_mean_prior_squared_error: 0.4771, root_mean_squared_error: 0.2463, root_relative_squared_error: 0.5162, scimark_benchmark: 1371.9645, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9477, kappa: 0.8855, kb_relative_information_score: 678.0096, mean_absolute_error: 0.0605, mean_prior_absolute_error: 0.4553, number_of_instances: 782, precision: 0.948, predictive_accuracy: 0.9476, prior_entropy: 0.9348, recall: 0.9476, relative_absolute_error: 0.1329, root_mean_prior_squared_error: 0.4771, root_mean_squared_error: 0.194, root_relative_squared_error: 0.4066, scimark_benchmark: 1347.993, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9477, kappa: 0.8855, kb_relative_information_score: 678.0096, mean_absolute_error: 0.0605, mean_prior_absolute_error: 0.4553, number_of_instances: 782, precision: 0.948, predictive_accuracy: 0.9476, prior_entropy: 0.9348, recall: 0.9476, relative_absolute_error: 0.1329, root_mean_prior_squared_error: 0.4771, root_mean_squared_error: 0.194, root_relative_squared_error: 0.4066, scimark_benchmark: 1260.1387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9477, kappa: 0.8855, kb_relative_information_score: 678.0096, mean_absolute_error: 0.0605, mean_prior_absolute_error: 0.4553, number_of_instances: 782, precision: 0.948, predictive_accuracy: 0.9476, prior_entropy: 0.9348, recall: 0.9476, relative_absolute_error: 0.1329, root_mean_prior_squared_error: 0.4771, root_mean_squared_error: 0.194, root_relative_squared_error: 0.4066, scimark_benchmark: 938.0414, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.954, kappa: 0.899, kb_relative_information_score: 649.7732, mean_absolute_error: 0.0825, mean_prior_absolute_error: 0.4553, number_of_instances: 782, precision: 0.9541, predictive_accuracy: 0.954, prior_entropy: 0.9348, recall: 0.954, relative_absolute_error: 0.1812, root_mean_prior_squared_error: 0.4771, root_mean_squared_error: 0.1881, root_relative_squared_error: 0.3942, scimark_benchmark: 1347.993, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9477, kappa: 0.8855, kb_relative_information_score: 678.0096, mean_absolute_error: 0.0605, mean_prior_absolute_error: 0.4553, number_of_instances: 782, precision: 0.948, predictive_accuracy: 0.9476, prior_entropy: 0.9348, recall: 0.9476, relative_absolute_error: 0.1329, root_mean_prior_squared_error: 0.4771, root_mean_squared_error: 0.194, root_relative_squared_error: 0.4066, scimark_benchmark: 1325.5735, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.954, kappa: 0.899, kb_relative_information_score: 649.7732, mean_absolute_error: 0.0825, mean_prior_absolute_error: 0.4553, number_of_instances: 782, precision: 0.9541, predictive_accuracy: 0.954, prior_entropy: 0.9348, recall: 0.954, relative_absolute_error: 0.1812, root_mean_prior_squared_error: 0.4771, root_mean_squared_error: 0.1881, root_relative_squared_error: 0.3942, scimark_benchmark: 1326.8946, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9195, kappa: 0.8235, kb_relative_information_score: 622.5994, mean_absolute_error: 0.0916, mean_prior_absolute_error: 0.4553, number_of_instances: 782, precision: 0.9197, predictive_accuracy: 0.9194, prior_entropy: 0.9348, recall: 0.9194, relative_absolute_error: 0.2012, root_mean_prior_squared_error: 0.4771, root_mean_squared_error: 0.2241, root_relative_squared_error: 0.4697, scimark_benchmark: 1347.993, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9523, f_measure: 0.8809, kappa: 0.7327, kb_relative_information_score: 510.5704, mean_absolute_error: 0.1664, mean_prior_absolute_error: 0.4553, number_of_instances: 782, precision: 0.8972, predictive_accuracy: 0.8862, prior_entropy: 0.9348, recall: 0.8862, relative_absolute_error: 0.3655, root_mean_prior_squared_error: 0.4771, root_mean_squared_error: 0.2792, root_relative_squared_error: 0.5851, scimark_benchmark: 1306.9281, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9398, kappa: 0.8676, kb_relative_information_score: 639.2932, mean_absolute_error: 0.0866, mean_prior_absolute_error: 0.4553, number_of_instances: 782, precision: 0.9398, predictive_accuracy: 0.9399, prior_entropy: 0.9348, recall: 0.9399, relative_absolute_error: 0.1902, root_mean_prior_squared_error: 0.4771, root_mean_squared_error: 0.206, root_relative_squared_error: 0.4318, scimark_benchmark: 1322.3407, usercpu_time_millis: 3360, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 3080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9477, kappa: 0.8855, kb_relative_information_score: 678.0096, mean_absolute_error: 0.0605, mean_prior_absolute_error: 0.4553, number_of_instances: 782, precision: 0.948, predictive_accuracy: 0.9476, prior_entropy: 0.9348, recall: 0.9476, relative_absolute_error: 0.1329, root_mean_prior_squared_error: 0.4771, root_mean_squared_error: 0.194, root_relative_squared_error: 0.4066, scimark_benchmark: 1342.2845, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9477, kappa: 0.8855, kb_relative_information_score: 678.0096, mean_absolute_error: 0.0605, mean_prior_absolute_error: 0.4553, number_of_instances: 782, precision: 0.948, predictive_accuracy: 0.9476, prior_entropy: 0.9348, recall: 0.9476, relative_absolute_error: 0.1329, root_mean_prior_squared_error: 0.4771, root_mean_squared_error: 0.194, root_relative_squared_error: 0.4066, scimark_benchmark: 1346.4374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9477, kappa: 0.8855, kb_relative_information_score: 678.0096, mean_absolute_error: 0.0605, mean_prior_absolute_error: 0.4553, number_of_instances: 782, precision: 0.948, predictive_accuracy: 0.9476, prior_entropy: 0.9348, recall: 0.9476, relative_absolute_error: 0.1329, root_mean_prior_squared_error: 0.4771, root_mean_squared_error: 0.194, root_relative_squared_error: 0.4066, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9477, kappa: 0.8855, kb_relative_information_score: 678.0096, mean_absolute_error: 0.0605, mean_prior_absolute_error: 0.4553, number_of_instances: 782, precision: 0.948, predictive_accuracy: 0.9476, prior_entropy: 0.9348, recall: 0.9476, relative_absolute_error: 0.1329, root_mean_prior_squared_error: 0.4771, root_mean_squared_error: 0.194, root_relative_squared_error: 0.4066, scimark_benchmark: 1303.5632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9477, kappa: 0.8855, kb_relative_information_score: 678.0096, mean_absolute_error: 0.0605, mean_prior_absolute_error: 0.4553, number_of_instances: 782, precision: 0.948, predictive_accuracy: 0.9476, prior_entropy: 0.9348, recall: 0.9476, relative_absolute_error: 0.1329, root_mean_prior_squared_error: 0.4771, root_mean_squared_error: 0.194, root_relative_squared_error: 0.4066, scimark_benchmark: 1303.5632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9477, kappa: 0.8855, kb_relative_information_score: 678.0096, mean_absolute_error: 0.0605, mean_prior_absolute_error: 0.4553, number_of_instances: 782, precision: 0.948, predictive_accuracy: 0.9476, prior_entropy: 0.9348, recall: 0.9476, relative_absolute_error: 0.1329, root_mean_prior_squared_error: 0.4771, root_mean_squared_error: 0.194, root_relative_squared_error: 0.4066, scimark_benchmark: 1362.9924, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9477, kappa: 0.8855, kb_relative_information_score: 678.0096, mean_absolute_error: 0.0605, mean_prior_absolute_error: 0.4553, number_of_instances: 782, precision: 0.948, predictive_accuracy: 0.9476, prior_entropy: 0.9348, recall: 0.9476, relative_absolute_error: 0.1329, root_mean_prior_squared_error: 0.4771, root_mean_squared_error: 0.194, root_relative_squared_error: 0.4066, scimark_benchmark: 1336.0954, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9108, kappa: 0.805, kb_relative_information_score: 621.68, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.4553, number_of_instances: 782, precision: 0.9115, predictive_accuracy: 0.9105, prior_entropy: 0.9348, recall: 0.9105, relative_absolute_error: 0.1979, root_mean_prior_squared_error: 0.4771, root_mean_squared_error: 0.254, root_relative_squared_error: 0.5324, scimark_benchmark: 1362.9924, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.954, kappa: 0.899, kb_relative_information_score: 649.7732, mean_absolute_error: 0.0825, mean_prior_absolute_error: 0.4553, number_of_instances: 782, precision: 0.9541, predictive_accuracy: 0.954, prior_entropy: 0.9348, recall: 0.954, relative_absolute_error: 0.1812, root_mean_prior_squared_error: 0.4771, root_mean_squared_error: 0.1881, root_relative_squared_error: 0.3942, scimark_benchmark: 1317.5857, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9477, kappa: 0.8855, kb_relative_information_score: 678.0096, mean_absolute_error: 0.0605, mean_prior_absolute_error: 0.4553, number_of_instances: 782, precision: 0.948, predictive_accuracy: 0.9476, prior_entropy: 0.9348, recall: 0.9476, relative_absolute_error: 0.1329, root_mean_prior_squared_error: 0.4771, root_mean_squared_error: 0.194, root_relative_squared_error: 0.4066, scimark_benchmark: 1317.5857, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9108, kappa: 0.805, kb_relative_information_score: 621.68, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.4553, number_of_instances: 782, precision: 0.9115, predictive_accuracy: 0.9105, prior_entropy: 0.9348, recall: 0.9105, relative_absolute_error: 0.1979, root_mean_prior_squared_error: 0.4771, root_mean_squared_error: 0.254, root_relative_squared_error: 0.5324, scimark_benchmark: 930.5999, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.954, kappa: 0.899, kb_relative_information_score: 649.7732, mean_absolute_error: 0.0825, mean_prior_absolute_error: 0.4553, number_of_instances: 782, precision: 0.9541, predictive_accuracy: 0.954, prior_entropy: 0.9348, recall: 0.954, relative_absolute_error: 0.1812, root_mean_prior_squared_error: 0.4771, root_mean_squared_error: 0.1881, root_relative_squared_error: 0.3942, scimark_benchmark: 1350.2591, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9477, kappa: 0.8855, kb_relative_information_score: 678.0096, mean_absolute_error: 0.0605, mean_prior_absolute_error: 0.4553, number_of_instances: 782, precision: 0.948, predictive_accuracy: 0.9476, prior_entropy: 0.9348, recall: 0.9476, relative_absolute_error: 0.1329, root_mean_prior_squared_error: 0.4771, root_mean_squared_error: 0.194, root_relative_squared_error: 0.4066, scimark_benchmark: 1319.4538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9477, kappa: 0.8855, kb_relative_information_score: 678.0096, mean_absolute_error: 0.0605, mean_prior_absolute_error: 0.4553, number_of_instances: 782, precision: 0.948, predictive_accuracy: 0.9476, prior_entropy: 0.9348, recall: 0.9476, relative_absolute_error: 0.1329, root_mean_prior_squared_error: 0.4771, root_mean_squared_error: 0.194, root_relative_squared_error: 0.4066, scimark_benchmark: 1322.3407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9477, kappa: 0.8855, kb_relative_information_score: 678.0096, mean_absolute_error: 0.0605, mean_prior_absolute_error: 0.4553, number_of_instances: 782, precision: 0.948, predictive_accuracy: 0.9476, prior_entropy: 0.9348, recall: 0.9476, relative_absolute_error: 0.1329, root_mean_prior_squared_error: 0.4771, root_mean_squared_error: 0.194, root_relative_squared_error: 0.4066, scimark_benchmark: 1342.8584, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9477, kappa: 0.8855, kb_relative_information_score: 678.0096, mean_absolute_error: 0.0605, mean_prior_absolute_error: 0.4553, number_of_instances: 782, precision: 0.948, predictive_accuracy: 0.9476, prior_entropy: 0.9348, recall: 0.9476, relative_absolute_error: 0.1329, root_mean_prior_squared_error: 0.4771, root_mean_squared_error: 0.194, root_relative_squared_error: 0.4066, scimark_benchmark: 1319.4538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9477, kappa: 0.8855, kb_relative_information_score: 678.0096, mean_absolute_error: 0.0605, mean_prior_absolute_error: 0.4553, number_of_instances: 782, precision: 0.948, predictive_accuracy: 0.9476, prior_entropy: 0.9348, recall: 0.9476, relative_absolute_error: 0.1329, root_mean_prior_squared_error: 0.4771, root_mean_squared_error: 0.194, root_relative_squared_error: 0.4066, scimark_benchmark: 1332.9478, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9523, f_measure: 0.8809, kappa: 0.7327, kb_relative_information_score: 510.5704, mean_absolute_error: 0.1664, mean_prior_absolute_error: 0.4553, number_of_instances: 782, precision: 0.8972, predictive_accuracy: 0.8862, prior_entropy: 0.9348, recall: 0.8862, relative_absolute_error: 0.3655, root_mean_prior_squared_error: 0.4771, root_mean_squared_error: 0.2792, root_relative_squared_error: 0.5851, scimark_benchmark: 1324.9519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.954, kappa: 0.899, kb_relative_information_score: 649.7732, mean_absolute_error: 0.0825, mean_prior_absolute_error: 0.4553, number_of_instances: 782, precision: 0.9541, predictive_accuracy: 0.954, prior_entropy: 0.9348, recall: 0.954, relative_absolute_error: 0.1812, root_mean_prior_squared_error: 0.4771, root_mean_squared_error: 0.1881, root_relative_squared_error: 0.3942, scimark_benchmark: 1322.5413, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9477, kappa: 0.8855, kb_relative_information_score: 678.0096, mean_absolute_error: 0.0605, mean_prior_absolute_error: 0.4553, number_of_instances: 782, precision: 0.948, predictive_accuracy: 0.9476, prior_entropy: 0.9348, recall: 0.9476, relative_absolute_error: 0.1329, root_mean_prior_squared_error: 0.4771, root_mean_squared_error: 0.194, root_relative_squared_error: 0.4066, scimark_benchmark: 1342.8632,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9469, f_measure: 0.8624, kappa: 0.6991, kb_relative_information_score: 490.5712, mean_absolute_error: 0.1698, mean_prior_absolute_error: 0.4553, number_of_instances: 782, precision: 0.8633, predictive_accuracy: 0.8619, prior_entropy: 0.9348, recall: 0.8619, relative_absolute_error: 0.3729, root_mean_prior_squared_error: 0.4771, root_mean_squared_error: 0.2982, root_relative_squared_error: 0.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9187, kappa: 0.8226, kb_relative_information_score: 602.0859, mean_absolute_error: 0.1083, mean_prior_absolute_error: 0.4553, number_of_instances: 782, precision: 0.92, predictive_accuracy: 0.9182, prior_entropy: 0.9348, recall: 0.9182, relative_absolute_error: 0.2377, root_mean_prior_squared_error: 0.4771, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.4893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9134, f_measure: 0.8522, kappa: 0.6889, kb_relative_information_score: 522.3389, mean_absolute_error: 0.145, mean_prior_absolute_error: 0.4553, number_of_instances: 782, precision: 0.8722, predictive_accuracy: 0.8491, prior_entropy: 0.9348, recall: 0.8491, relative_absolute_error: 0.3185, root_mean_prior_squared_error: 0.4771, root_mean_squared_error: 0.3237, root_relative_squared_error: 0.6784, scimark_benchmark: 1840.6094, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.9437, kappa: 0.8762, kb_relative_information_score: 665.8682, mean_absolute_error: 0.068, mean_prior_absolute_error: 0.4553, number_of_instances: 782, precision: 0.9437, predictive_accuracy: 0.9437, prior_entropy: 0.9348, recall: 0.9437, relative_absolute_error: 0.1494, root_mean_prior_squared_error: 0.4771, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.4369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.9286, kappa: 0.8435, kb_relative_information_score: 653.8338, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.4553, number_of_instances: 782, precision: 0.9289, predictive_accuracy: 0.9284, prior_entropy: 0.9348, recall: 0.9284, relative_absolute_error: 0.1573, root_mean_prior_squared_error: 0.4771, root_mean_squared_error: 0.2676, root_relative_squared_error: 0.5609, scimark_benchmark: 941.3847, usercpu_time_millis: 110, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9147, f_measure: 0.8678, kappa: 0.7163, kb_relative_information_score: 488.4198, mean_absolute_error: 0.1719, mean_prior_absolute_error: 0.4553, number_of_instances: 782, precision: 0.8762, predictive_accuracy: 0.8657, prior_entropy: 0.9348, recall: 0.8657, relative_absolute_error: 0.3774, root_mean_prior_squared_error: 0.4771, root_mean_squared_error: 0.3359, root_relative_squared_error: 0.704, scimark_benchmark: 1447.2612, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9554, f_measure: 0.9352, kappa: 0.8588, kb_relative_information_score: 633.1043, mean_absolute_error: 0.0903, mean_prior_absolute_error: 0.4553, number_of_instances: 782, precision: 0.9366, predictive_accuracy: 0.9348, prior_entropy: 0.9348, recall: 0.9348, relative_absolute_error: 0.1984, root_mean_prior_squared_error: 0.4771, root_mean_squared_error: 0.2375, root_relative_squared_error: 0.4978, scimark_benchmark: 1000.3785, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.9529, kappa: 0.897, kb_relative_information_score: 698.0822, mean_absolute_error: 0.0468, mean_prior_absolute_error: 0.4553, number_of_instances: 782, precision: 0.9535, predictive_accuracy: 0.9527, prior_entropy: 0.9348, recall: 0.9527, relative_absolute_error: 0.1028, root_mean_prior_squared_error: 0.4771, root_mean_squared_error: 0.2124, root_relative_squared_error: 0.4452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8687, f_measure: 0.8595, kappa: 0.6915, kb_relative_information_score: 500.5516, mean_absolute_error: 0.1646, mean_prior_absolute_error: 0.4553, number_of_instances: 782, precision: 0.8596, predictive_accuracy: 0.8593, prior_entropy: 0.9348, recall: 0.8593, relative_absolute_error: 0.3616, root_mean_prior_squared_error: 0.4771, root_mean_squared_error: 0.3525, root_relative_squared_error: 0.739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9128, f_measure: 0.9195, kappa: 0.8235, kb_relative_information_score: 637.8485, mean_absolute_error: 0.0806, mean_prior_absolute_error: 0.4553, number_of_instances: 782, precision: 0.9197, predictive_accuracy: 0.9194, prior_entropy: 0.9348, recall: 0.9194, relative_absolute_error: 0.1769, root_mean_prior_squared_error: 0.4771, root_mean_squared_error: 0.2838, root_relative_squared_error: 0.5949, scimark_benchmark: 1532.7265, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9566, kappa: 0.9048, kb_relative_information_score: 658.1874, mean_absolute_error: 0.078, mean_prior_absolute_error: 0.4553, number_of_instances: 782, precision: 0.9567, predictive_accuracy: 0.9565, prior_entropy: 0.9348, recall: 0.9565, relative_absolute_error: 0.1712, root_mean_prior_squared_error: 0.4771, root_mean_squared_error: 0.1816, root_relative_squared_error: 0.3807, scimark_benchmark: 936.9595, usercpu_time_millis: 17820, usercpu_time_millis_testing: 4370, usercpu_time_millis_training: 13450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.954, kappa: 0.899, kb_relative_information_score: 649.7732, mean_absolute_error: 0.0825, mean_prior_absolute_error: 0.4553, number_of_instances: 782, precision: 0.9541, predictive_accuracy: 0.954, prior_entropy: 0.9348, recall: 0.954, relative_absolute_error: 0.1812, root_mean_prior_squared_error: 0.4771, root_mean_squared_error: 0.1881, root_relative_squared_error: 0.3942, scimark_benchmark: 938.988, usercpu_time_millis: 110, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.9502, kappa: 0.8907, kb_relative_information_score: 657.7613, mean_absolute_error: 0.0771, mean_prior_absolute_error: 0.4553, number_of_instances: 782, precision: 0.9503, predictive_accuracy: 0.9501, prior_entropy: 0.9348, recall: 0.9501, relative_absolute_error: 0.1693, root_mean_prior_squared_error: 0.4771, root_mean_squared_error: 0.2034, root_relative_squared_error: 0.4264, scimark_benchmark: 941.3057, usercpu_time_millis: 220, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5116, kb_relative_information_score: 156.0054, mean_absolute_error: 0.3504, mean_prior_absolute_error: 0.4553, number_of_instances: 782, precision: 0.422, predictive_accuracy: 0.6496, prior_entropy: 0.9348, recall: 0.6496, relative_absolute_error: 0.7695, root_mean_prior_squared_error: 0.4771, root_mean_squared_error: 0.5919, root_relative_squared_error: 1.2407, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9568, f_measure: 0.936, kappa: 0.8593, kb_relative_information_score: 606.456, mean_absolute_error: 0.1107, mean_prior_absolute_error: 0.4553, number_of_instances: 782, precision: 0.936, predictive_accuracy: 0.9361, prior_entropy: 0.9348, recall: 0.9361, relative_absolute_error: 0.2432, root_mean_prior_squared_error: 0.4771, root_mean_squared_error: 0.2362, root_relative_squared_error: 0.4951, scimark_benchmark: 942.6192, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9249, f_measure: 0.8532, kappa: 0.6703, kb_relative_information_score: 530.8772, mean_absolute_error: 0.1409, mean_prior_absolute_error: 0.4553, number_of_instances: 782, precision: 0.8715, predictive_accuracy: 0.8606, prior_entropy: 0.9348, recall: 0.8606, relative_absolute_error: 0.3095, root_mean_prior_squared_error: 0.4771, root_mean_squared_error: 0.3637, root_relative_squared_error: 0.7624, scimark_benchmark: 935.6052, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9654, f_measure: 0.8907, kappa: 0.7555, kb_relative_information_score: 589.3369, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.4553, number_of_instances: 782, precision: 0.898, predictive_accuracy: 0.8939, prior_entropy: 0.9348, recall: 0.8939, relative_absolute_error: 0.2397, root_mean_prior_squared_error: 0.4771, root_mean_squared_error: 0.2856, root_relative_squared_error: 0.5986, scimark_benchmark: 936.1714, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9111, kappa: 0.8034, kb_relative_information_score: 611.0877, mean_absolute_error: 0.0987, mean_prior_absolute_error: 0.4553, number_of_instances: 782, precision: 0.9113, predictive_accuracy: 0.9118, prior_entropy: 0.9348, recall: 0.9118, relative_absolute_error: 0.2168, root_mean_prior_squared_error: 0.4771, root_mean_squared_error: 0.2389, root_relative_squared_error: 0.5007, scimark_benchmark: 929.0296, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9579, kappa: 0.9075, kb_relative_information_score: 656.5537, mean_absolute_error: 0.0787, mean_prior_absolute_error: 0.4553, number_of_instances: 782, precision: 0.9579, predictive_accuracy: 0.9578, prior_entropy: 0.9348, recall: 0.9578, relative_absolute_error: 0.1728, root_mean_prior_squared_error: 0.4771, root_mean_squared_error: 0.1827, root_relative_squared_error: 0.3829, scimark_benchmark: 939.3535, usercpu_time_millis: 4020, usercpu_time_millis_testing: 840, usercpu_time_millis_training: 3180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9579, kappa: 0.9075, kb_relative_information_score: 659.2059, mean_absolute_error: 0.0776, mean_prior_absolute_error: 0.4553, number_of_instances: 782, precision: 0.9579, predictive_accuracy: 0.9578, prior_entropy: 0.9348, recall: 0.9578, relative_absolute_error: 0.1705, root_mean_prior_squared_error: 0.4771, root_mean_squared_error: 0.1811, root_relative_squared_error: 0.3796, scimark_benchmark: 940.1541, usercpu_time_millis: 9150, usercpu_time_millis_testing: 2320, usercpu_time_millis_training: 6830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9629, kappa: 0.9186, kb_relative_information_score: 657.1539, mean_absolute_error: 0.0785, mean_prior_absolute_error: 0.4553, number_of_instances: 782, precision: 0.963, predictive_accuracy: 0.9629, prior_entropy: 0.9348, recall: 0.9629, relative_absolute_error: 0.1724, root_mean_prior_squared_error: 0.4771, root_mean_squared_error: 0.1841, root_relative_squared_error: 0.3858, scimark_benchmark: 924.2305, usercpu_time_millis: 2240, usercpu_time_millis_testing: 370, usercpu_time_millis_training: 1870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9111, kappa: 0.8034, kb_relative_information_score: 611.0877, mean_absolute_error: 0.0987, mean_prior_absolute_error: 0.4553, number_of_instances: 782, precision: 0.9113, predictive_accuracy: 0.9118, prior_entropy: 0.9348, recall: 0.9118, relative_absolute_error: 0.2168, root_mean_prior_squared_error: 0.4771, root_mean_squared_error: 0.2389, root_relative_squared_error: 0.5007, scimark_benchmark: 894.7131, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9477, kappa: 0.8853, kb_relative_information_score: 655.2905, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.4553, number_of_instances: 782, precision: 0.9479, predictive_accuracy: 0.9476, prior_entropy: 0.9348, recall: 0.9476, relative_absolute_error: 0.1696, root_mean_prior_squared_error: 0.4771, root_mean_squared_error: 0.1909, root_relative_squared_error: 0.4001, scimark_benchmark: 899.1108, usercpu_time_millis: 1360, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 1160,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

OpenML bootcamp

From your own software

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

OpenML APIs