Task
Supervised Classification on physionet_asystole

Supervised Classification on physionet_asystole

Task 7394 Supervised Classification physionet_asystole 378 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8439, f_measure: 0.9358, kappa: 0.7632, kb_relative_information_score: 773.0087, mean_absolute_error: 0.0918, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.9355, predictive_accuracy: 0.9375, prior_entropy: 0.6626, recall: 0.9375, relative_absolute_error: 0.3263, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2402, root_relative_squared_error: 0.6446, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, f_measure: 0.9328, kappa: 0.7561, kb_relative_information_score: 719.4021, mean_absolute_error: 0.0994, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.9324, predictive_accuracy: 0.9333, prior_entropy: 0.6626, recall: 0.9333, relative_absolute_error: 0.3533, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.222, root_relative_squared_error: 0.5957, scimark_benchmark: 972.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9235, f_measure: 0.9272, kappa: 0.7402, kb_relative_information_score: 740.0934, mean_absolute_error: 0.0935, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.9279, predictive_accuracy: 0.9267, prior_entropy: 0.6626, recall: 0.9267, relative_absolute_error: 0.3321, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.242, root_relative_squared_error: 0.6493, scimark_benchmark: 934.3687, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9205, f_measure: 0.9087, kappa: 0.6754, kb_relative_information_score: 655.2304, mean_absolute_error: 0.1097, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.9101, predictive_accuracy: 0.9075, prior_entropy: 0.6626, recall: 0.9075, relative_absolute_error: 0.3899, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2627, root_relative_squared_error: 0.705, scimark_benchmark: 944.1067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9205, f_measure: 0.9087, kappa: 0.6754, kb_relative_information_score: 655.2304, mean_absolute_error: 0.1097, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.9101, predictive_accuracy: 0.9075, prior_entropy: 0.6626, recall: 0.9075, relative_absolute_error: 0.3899, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2627, root_relative_squared_error: 0.705, scimark_benchmark: 944.1067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9205, f_measure: 0.9087, kappa: 0.6754, kb_relative_information_score: 655.2304, mean_absolute_error: 0.1097, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.9101, predictive_accuracy: 0.9075, prior_entropy: 0.6626, recall: 0.9075, relative_absolute_error: 0.3899, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2627, root_relative_squared_error: 0.705, scimark_benchmark: 944.1067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, f_measure: 0.9329, kappa: 0.7571, kb_relative_information_score: 722.6568, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.9326, predictive_accuracy: 0.9333, prior_entropy: 0.6626, recall: 0.9333, relative_absolute_error: 0.3462, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2326, root_relative_squared_error: 0.6242, scimark_benchmark: 944.1067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, f_measure: 0.9329, kappa: 0.7571, kb_relative_information_score: 722.6568, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.9326, predictive_accuracy: 0.9333, prior_entropy: 0.6626, recall: 0.9333, relative_absolute_error: 0.3462, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2326, root_relative_squared_error: 0.6242, scimark_benchmark: 944.1067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, f_measure: 0.9329, kappa: 0.7571, kb_relative_information_score: 722.6568, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.9326, predictive_accuracy: 0.9333, prior_entropy: 0.6626, recall: 0.9333, relative_absolute_error: 0.3462, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2326, root_relative_squared_error: 0.6242, scimark_benchmark: 944.1067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, f_measure: 0.9329, kappa: 0.7571, kb_relative_information_score: 722.6568, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.9326, predictive_accuracy: 0.9333, prior_entropy: 0.6626, recall: 0.9333, relative_absolute_error: 0.3462, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2326, root_relative_squared_error: 0.6242, scimark_benchmark: 944.1067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, f_measure: 0.9329, kappa: 0.7571, kb_relative_information_score: 722.6568, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.9326, predictive_accuracy: 0.9333, prior_entropy: 0.6626, recall: 0.9333, relative_absolute_error: 0.3462, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2326, root_relative_squared_error: 0.6242, scimark_benchmark: 944.1067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, f_measure: 0.9329, kappa: 0.7571, kb_relative_information_score: 722.6568, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.9326, predictive_accuracy: 0.9333, prior_entropy: 0.6626, recall: 0.9333, relative_absolute_error: 0.3462, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2326, root_relative_squared_error: 0.6242, scimark_benchmark: 944.1067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, f_measure: 0.9329, kappa: 0.7571, kb_relative_information_score: 722.6568, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.9326, predictive_accuracy: 0.9333, prior_entropy: 0.6626, recall: 0.9333, relative_absolute_error: 0.3462, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2326, root_relative_squared_error: 0.6242, scimark_benchmark: 944.1067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, f_measure: 0.9329, kappa: 0.7571, kb_relative_information_score: 722.6568, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.9326, predictive_accuracy: 0.9333, prior_entropy: 0.6626, recall: 0.9333, relative_absolute_error: 0.3462, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2326, root_relative_squared_error: 0.6242, scimark_benchmark: 944.1067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, f_measure: 0.9329, kappa: 0.7571, kb_relative_information_score: 722.6568, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.9326, predictive_accuracy: 0.9333, prior_entropy: 0.6626, recall: 0.9333, relative_absolute_error: 0.3462, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2326, root_relative_squared_error: 0.6242, scimark_benchmark: 944.1067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7775, f_measure: 0.8971, kappa: 0.6126, kb_relative_information_score: 681.1932, mean_absolute_error: 0.0975, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.8966, predictive_accuracy: 0.9025, prior_entropy: 0.6626, recall: 0.9025, relative_absolute_error: 0.3465, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3123, root_relative_squared_error: 0.8378, scimark_benchmark: 944.1067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7775, f_measure: 0.8971, kappa: 0.6126, kb_relative_information_score: 681.1932, mean_absolute_error: 0.0975, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.8966, predictive_accuracy: 0.9025, prior_entropy: 0.6626, recall: 0.9025, relative_absolute_error: 0.3465, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3123, root_relative_squared_error: 0.8378, scimark_benchmark: 944.1067, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7775, f_measure: 0.8971, kappa: 0.6126, kb_relative_information_score: 681.1932, mean_absolute_error: 0.0975, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.8966, predictive_accuracy: 0.9025, prior_entropy: 0.6626, recall: 0.9025, relative_absolute_error: 0.3465, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3123, root_relative_squared_error: 0.8378, scimark_benchmark: 944.1067, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7775, f_measure: 0.8971, kappa: 0.6126, kb_relative_information_score: 681.1932, mean_absolute_error: 0.0975, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.8966, predictive_accuracy: 0.9025, prior_entropy: 0.6626, recall: 0.9025, relative_absolute_error: 0.3465, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3123, root_relative_squared_error: 0.8378, scimark_benchmark: 944.1067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9205, f_measure: 0.9087, kappa: 0.6754, kb_relative_information_score: 655.2304, mean_absolute_error: 0.1097, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.9101, predictive_accuracy: 0.9075, prior_entropy: 0.6626, recall: 0.9075, relative_absolute_error: 0.3899, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2627, root_relative_squared_error: 0.705, scimark_benchmark: 944.1067, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9205, f_measure: 0.9087, kappa: 0.6754, kb_relative_information_score: 655.2304, mean_absolute_error: 0.1097, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.9101, predictive_accuracy: 0.9075, prior_entropy: 0.6626, recall: 0.9075, relative_absolute_error: 0.3899, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2627, root_relative_squared_error: 0.705, scimark_benchmark: 944.1067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, f_measure: 0.9329, kappa: 0.7571, kb_relative_information_score: 722.6568, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.9326, predictive_accuracy: 0.9333, prior_entropy: 0.6626, recall: 0.9333, relative_absolute_error: 0.3462, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2326, root_relative_squared_error: 0.6242, scimark_benchmark: 944.1067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, f_measure: 0.9329, kappa: 0.7571, kb_relative_information_score: 722.6568, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.9326, predictive_accuracy: 0.9333, prior_entropy: 0.6626, recall: 0.9333, relative_absolute_error: 0.3462, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2326, root_relative_squared_error: 0.6242, scimark_benchmark: 944.1067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, f_measure: 0.9329, kappa: 0.7571, kb_relative_information_score: 722.6568, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.9326, predictive_accuracy: 0.9333, prior_entropy: 0.6626, recall: 0.9333, relative_absolute_error: 0.3462, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2326, root_relative_squared_error: 0.6242, scimark_benchmark: 944.1067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, f_measure: 0.9329, kappa: 0.7571, kb_relative_information_score: 722.6568, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.9326, predictive_accuracy: 0.9333, prior_entropy: 0.6626, recall: 0.9333, relative_absolute_error: 0.3462, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2326, root_relative_squared_error: 0.6242, scimark_benchmark: 944.1067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, f_measure: 0.9329, kappa: 0.7571, kb_relative_information_score: 722.6568, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.9326, predictive_accuracy: 0.9333, prior_entropy: 0.6626, recall: 0.9333, relative_absolute_error: 0.3462, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2326, root_relative_squared_error: 0.6242, scimark_benchmark: 944.1067, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, f_measure: 0.9329, kappa: 0.7571, kb_relative_information_score: 722.6568, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.9326, predictive_accuracy: 0.9333, prior_entropy: 0.6626, recall: 0.9333, relative_absolute_error: 0.3462, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2326, root_relative_squared_error: 0.6242, scimark_benchmark: 944.1067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, f_measure: 0.9329, kappa: 0.7571, kb_relative_information_score: 722.6568, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.9326, predictive_accuracy: 0.9333, prior_entropy: 0.6626, recall: 0.9333, relative_absolute_error: 0.3462, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2326, root_relative_squared_error: 0.6242, scimark_benchmark: 944.1067,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, f_measure: 0.9329, kappa: 0.7571, kb_relative_information_score: 722.6568, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.9326, predictive_accuracy: 0.9333, prior_entropy: 0.6626, recall: 0.9333, relative_absolute_error: 0.3462, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2326, root_relative_squared_error: 0.6242, scimark_benchmark: 944.1067, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, f_measure: 0.9329, kappa: 0.7571, kb_relative_information_score: 722.6568, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.9326, predictive_accuracy: 0.9333, prior_entropy: 0.6626, recall: 0.9333, relative_absolute_error: 0.3462, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2326, root_relative_squared_error: 0.6242, scimark_benchmark: 944.1067,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9439, f_measure: 0.8937, kappa: 0.6049, kb_relative_information_score: 513.9322, mean_absolute_error: 0.1448, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.8922, predictive_accuracy: 0.8975, prior_entropy: 0.6626, recall: 0.8975, relative_absolute_error: 0.5145, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2598, root_relative_squared_error: 0.6971, scimark_benchmark: 944.1067, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9292, f_measure: 0.9262, kappa: 0.7328, kb_relative_information_score: 697.2717, mean_absolute_error: 0.1043, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.9258, predictive_accuracy: 0.9267, prior_entropy: 0.6626, recall: 0.9267, relative_absolute_error: 0.3708, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2457, root_relative_squared_error: 0.6593, scimark_benchmark: 944.1067, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, f_measure: 0.9329, kappa: 0.7571, kb_relative_information_score: 722.6568, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.9326, predictive_accuracy: 0.9333, prior_entropy: 0.6626, recall: 0.9333, relative_absolute_error: 0.3462, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2326, root_relative_squared_error: 0.6242, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, f_measure: 0.9329, kappa: 0.7571, kb_relative_information_score: 722.6568, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.9326, predictive_accuracy: 0.9333, prior_entropy: 0.6626, recall: 0.9333, relative_absolute_error: 0.3462, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2326, root_relative_squared_error: 0.6242, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, f_measure: 0.9329, kappa: 0.7571, kb_relative_information_score: 722.6568, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.9326, predictive_accuracy: 0.9333, prior_entropy: 0.6626, recall: 0.9333, relative_absolute_error: 0.3462, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2326, root_relative_squared_error: 0.6242, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, f_measure: 0.9329, kappa: 0.7571, kb_relative_information_score: 722.6568, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.9326, predictive_accuracy: 0.9333, prior_entropy: 0.6626, recall: 0.9333, relative_absolute_error: 0.3462, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2326, root_relative_squared_error: 0.6242, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, f_measure: 0.9329, kappa: 0.7571, kb_relative_information_score: 722.6568, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.9326, predictive_accuracy: 0.9333, prior_entropy: 0.6626, recall: 0.9333, relative_absolute_error: 0.3462, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2326, root_relative_squared_error: 0.6242, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, f_measure: 0.9329, kappa: 0.7571, kb_relative_information_score: 722.6568, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.9326, predictive_accuracy: 0.9333, prior_entropy: 0.6626, recall: 0.9333, relative_absolute_error: 0.3462, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2326, root_relative_squared_error: 0.6242, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9439, f_measure: 0.8937, kappa: 0.6049, kb_relative_information_score: 513.9322, mean_absolute_error: 0.1448, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.8922, predictive_accuracy: 0.8975, prior_entropy: 0.6626, recall: 0.8975, relative_absolute_error: 0.5145, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2598, root_relative_squared_error: 0.6971, scimark_benchmark: 932.438, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9292, f_measure: 0.9262, kappa: 0.7328, kb_relative_information_score: 697.2717, mean_absolute_error: 0.1043, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.9258, predictive_accuracy: 0.9267, prior_entropy: 0.6626, recall: 0.9267, relative_absolute_error: 0.3708, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2457, root_relative_squared_error: 0.6593, scimark_benchmark: 932.438, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9292, f_measure: 0.9262, kappa: 0.7328, kb_relative_information_score: 697.2717, mean_absolute_error: 0.1043, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.9258, predictive_accuracy: 0.9267, prior_entropy: 0.6626, recall: 0.9267, relative_absolute_error: 0.3708, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2457, root_relative_squared_error: 0.6593, scimark_benchmark: 932.438, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9292, f_measure: 0.9262, kappa: 0.7328, kb_relative_information_score: 697.2717, mean_absolute_error: 0.1043, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.9258, predictive_accuracy: 0.9267, prior_entropy: 0.6626, recall: 0.9267, relative_absolute_error: 0.3708, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2457, root_relative_squared_error: 0.6593, scimark_benchmark: 932.438, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, f_measure: 0.9329, kappa: 0.7571, kb_relative_information_score: 722.6568, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.9326, predictive_accuracy: 0.9333, prior_entropy: 0.6626, recall: 0.9333, relative_absolute_error: 0.3462, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2326, root_relative_squared_error: 0.6242, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8439, f_measure: 0.9358, kappa: 0.7632, kb_relative_information_score: 773.0087, mean_absolute_error: 0.0918, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.9355, predictive_accuracy: 0.9375, prior_entropy: 0.6626, recall: 0.9375, relative_absolute_error: 0.3263, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2402, root_relative_squared_error: 0.6446, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8439, f_measure: 0.9358, kappa: 0.7632, kb_relative_information_score: 773.0087, mean_absolute_error: 0.0918, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.9355, predictive_accuracy: 0.9375, prior_entropy: 0.6626, recall: 0.9375, relative_absolute_error: 0.3263, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2402, root_relative_squared_error: 0.6446, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8439, f_measure: 0.9358, kappa: 0.7632, kb_relative_information_score: 773.0087, mean_absolute_error: 0.0918, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.9355, predictive_accuracy: 0.9375, prior_entropy: 0.6626, recall: 0.9375, relative_absolute_error: 0.3263, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2402, root_relative_squared_error: 0.6446, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7775, f_measure: 0.8971, kappa: 0.6126, kb_relative_information_score: 681.1932, mean_absolute_error: 0.0975, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.8966, predictive_accuracy: 0.9025, prior_entropy: 0.6626, recall: 0.9025, relative_absolute_error: 0.3465, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3123, root_relative_squared_error: 0.8378, scimark_benchmark: 932.438, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7775, f_measure: 0.8971, kappa: 0.6126, kb_relative_information_score: 681.1932, mean_absolute_error: 0.0975, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.8966, predictive_accuracy: 0.9025, prior_entropy: 0.6626, recall: 0.9025, relative_absolute_error: 0.3465, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3123, root_relative_squared_error: 0.8378, scimark_benchmark: 932.438, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, f_measure: 0.9329, kappa: 0.7571, kb_relative_information_score: 722.6568, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.9326, predictive_accuracy: 0.9333, prior_entropy: 0.6626, recall: 0.9333, relative_absolute_error: 0.3462, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2326, root_relative_squared_error: 0.6242, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7775, f_measure: 0.8971, kappa: 0.6126, kb_relative_information_score: 681.1932, mean_absolute_error: 0.0975, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.8966, predictive_accuracy: 0.9025, prior_entropy: 0.6626, recall: 0.9025, relative_absolute_error: 0.3465, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3123, root_relative_squared_error: 0.8378, scimark_benchmark: 932.438, 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

OpenML bootcamp

From your own software

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

OpenML APIs