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: 0.8822, f_measure: 0.8352, kappa: 0.3632, kb_relative_information_score: 134.3032, mean_absolute_error: 0.2292, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.831, predictive_accuracy: 0.85, prior_entropy: 0.6626, recall: 0.85, relative_absolute_error: 0.8145, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.316, root_relative_squared_error: 0.8479, scimark_benchmark: 858.1405, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8633, f_measure: 0.9205, kappa: 0.7099, kb_relative_information_score: 751.4991, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.9198, predictive_accuracy: 0.9217, prior_entropy: 0.6626, recall: 0.9217, relative_absolute_error: 0.3056, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2687, root_relative_squared_error: 0.7209, scimark_benchmark: 933.5262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.893, f_measure: 0.8635, kappa: 0.4769, kb_relative_information_score: 317.4446, mean_absolute_error: 0.1865, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.8622, predictive_accuracy: 0.8742, prior_entropy: 0.6626, recall: 0.8742, relative_absolute_error: 0.6625, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3078, root_relative_squared_error: 0.8258, scimark_benchmark: 947.1628, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, f_measure: 0.9366, kappa: 0.7658, kb_relative_information_score: 811.616, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.9364, predictive_accuracy: 0.9383, prior_entropy: 0.6626, recall: 0.9383, relative_absolute_error: 0.2554, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.228, root_relative_squared_error: 0.6117, scimark_benchmark: 858.1405, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7308, f_measure: 0.917, kappa: 0.691, kb_relative_information_score: 698.436, mean_absolute_error: 0.1051, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.9165, predictive_accuracy: 0.92, prior_entropy: 0.6626, recall: 0.92, relative_absolute_error: 0.3735, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2772, root_relative_squared_error: 0.7438, scimark_benchmark: 946.6409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8999, f_measure: 0.8499, kappa: 0.445, kb_relative_information_score: 401.7563, mean_absolute_error: 0.1548, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.8468, predictive_accuracy: 0.8542, prior_entropy: 0.6626, recall: 0.8542, relative_absolute_error: 0.5501, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3175, root_relative_squared_error: 0.8519, scimark_benchmark: 952.3393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7668, f_measure: 0.8492, kappa: 0.4736, kb_relative_information_score: 310.9605, mean_absolute_error: 0.178, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.8547, predictive_accuracy: 0.845, prior_entropy: 0.6626, recall: 0.845, relative_absolute_error: 0.6326, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3299, root_relative_squared_error: 0.8852, scimark_benchmark: 926.8585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8194, f_measure: 0.9121, kappa: 0.679, kb_relative_information_score: 654.606, mean_absolute_error: 0.1072, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.9112, predictive_accuracy: 0.9133, prior_entropy: 0.6626, recall: 0.9133, relative_absolute_error: 0.3811, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2752, root_relative_squared_error: 0.7383, scimark_benchmark: 944.5341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.901, f_measure: 0.9105, kappa: 0.701, kb_relative_information_score: 693.9209, mean_absolute_error: 0.095, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.9242, predictive_accuracy: 0.905, prior_entropy: 0.6626, recall: 0.905, relative_absolute_error: 0.3376, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3082, root_relative_squared_error: 0.827, scimark_benchmark: 944.5341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.901, f_measure: 0.9105, kappa: 0.701, kb_relative_information_score: 674.5918, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.9242, predictive_accuracy: 0.905, prior_entropy: 0.6626, recall: 0.905, relative_absolute_error: 0.3637, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3055, root_relative_squared_error: 0.8198, scimark_benchmark: 936.5648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9495, f_measure: 0.9293, kappa: 0.7401, kb_relative_information_score: 820.53, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.9287, predictive_accuracy: 0.9308, prior_entropy: 0.6626, recall: 0.9308, relative_absolute_error: 0.2623, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.228, root_relative_squared_error: 0.6118, scimark_benchmark: 926.8585, usercpu_time_millis: 60, usercpu_time_millis_testing: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8822, f_measure: 0.8352, kappa: 0.3632, kb_relative_information_score: 134.3032, mean_absolute_error: 0.2292, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.831, predictive_accuracy: 0.85, prior_entropy: 0.6626, recall: 0.85, relative_absolute_error: 0.8145, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.316, root_relative_squared_error: 0.8479, scimark_benchmark: 926.8585,
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: 946.6409,
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: 946.8777,
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: 935.5743,
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: 946.6409,
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: 945.988,
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: 945.988,
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: 945.988,
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: 946.6409,
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: 936.5648,
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: 935.5743,
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: 936.5648,
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: 946.6409,
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: 935.5743,
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: 936.5648,
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: 946.8777,
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: 945.988,
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: 936.5648,
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: 946.8777,
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: 935.5743, usercpu_time_millis: 10, usercpu_time_millis_testing: 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: 945.988,
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: 946.6409, 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: 936.5648, 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: 946.8777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7289, f_measure: 0.9147, kappa: 0.6834, kb_relative_information_score: 685.6018, mean_absolute_error: 0.1076, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.9139, predictive_accuracy: 0.9175, prior_entropy: 0.6626, recall: 0.9175, relative_absolute_error: 0.3825, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2815, root_relative_squared_error: 0.7552, scimark_benchmark: 933.4598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8633, f_measure: 0.9205, kappa: 0.7099, kb_relative_information_score: 751.4991, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.9198, predictive_accuracy: 0.9217, prior_entropy: 0.6626, recall: 0.9217, relative_absolute_error: 0.3056, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2687, root_relative_squared_error: 0.7209, scimark_benchmark: 941.7763, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, f_measure: 0.9554, kappa: 0.8354, kb_relative_information_score: 706.394, mean_absolute_error: 0.1009, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.9559, predictive_accuracy: 0.9567, prior_entropy: 0.6626, recall: 0.9567, relative_absolute_error: 0.3585, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2169, root_relative_squared_error: 0.5818, scimark_benchmark: 941.7161, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8338, f_measure: 0.9, kappa: 0.64, kb_relative_information_score: 659.9709, mean_absolute_error: 0.101, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.9, predictive_accuracy: 0.9, prior_entropy: 0.6626, recall: 0.9, relative_absolute_error: 0.359, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3101, root_relative_squared_error: 0.8319, scimark_benchmark: 936.5648,
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: 952.3393,
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: 890.5596,
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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: 939.2013,
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: 946.8777,
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: 944.5341, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 936.5648,
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: 946.8777,
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: 951.5389,
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: 890.5596, 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: 946.8777, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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: 951.5389, 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: 952.3393,
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: 944.5341,
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: 946.6409,
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: 951.5389,
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: 952.3393,
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: 939.2013, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,

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