Task
Supervised Classification on physionet_tachycardia

Supervised Classification on physionet_tachycardia

Task 7396 Supervised Classification physionet_tachycardia 380 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7522, f_measure: 0.9537, kappa: 0.5577, kb_relative_information_score: 494.8288, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.114, number_of_instances: 1390, precision: 0.9525, predictive_accuracy: 0.9554, prior_entropy: 0.3425, recall: 0.9554, relative_absolute_error: 0.5342, root_mean_prior_squared_error: 0.233, root_mean_squared_error: 0.192, root_relative_squared_error: 0.8241, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9371, f_measure: 0.9383, kappa: 0.4262, kb_relative_information_score: 264.9062, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.114, number_of_instances: 1390, precision: 0.9378, predictive_accuracy: 0.9388, prior_entropy: 0.3425, recall: 0.9388, relative_absolute_error: 0.5743, root_mean_prior_squared_error: 0.233, root_mean_squared_error: 0.2169, root_relative_squared_error: 0.9308, scimark_benchmark: 972.587, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9481, f_measure: 0.9423, kappa: 0.4603, kb_relative_information_score: 325.6011, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.114, number_of_instances: 1390, precision: 0.9415, predictive_accuracy: 0.9432, prior_entropy: 0.3425, recall: 0.9432, relative_absolute_error: 0.5183, root_mean_prior_squared_error: 0.233, root_mean_squared_error: 0.2302, root_relative_squared_error: 0.9881, scimark_benchmark: 934.3687, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7609, f_measure: 0.9396, kappa: 0.4639, kb_relative_information_score: 297.5457, mean_absolute_error: 0.0573, mean_prior_absolute_error: 0.114, number_of_instances: 1390, precision: 0.9422, predictive_accuracy: 0.9374, prior_entropy: 0.3425, recall: 0.9374, relative_absolute_error: 0.5026, root_mean_prior_squared_error: 0.233, root_mean_squared_error: 0.2233, root_relative_squared_error: 0.9586, scimark_benchmark: 944.1067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7609, f_measure: 0.9396, kappa: 0.4639, kb_relative_information_score: 297.5457, mean_absolute_error: 0.0573, mean_prior_absolute_error: 0.114, number_of_instances: 1390, precision: 0.9422, predictive_accuracy: 0.9374, prior_entropy: 0.3425, recall: 0.9374, relative_absolute_error: 0.5026, root_mean_prior_squared_error: 0.233, root_mean_squared_error: 0.2233, root_relative_squared_error: 0.9586, scimark_benchmark: 944.1067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7609, f_measure: 0.9396, kappa: 0.4639, kb_relative_information_score: 297.5457, mean_absolute_error: 0.0573, mean_prior_absolute_error: 0.114, number_of_instances: 1390, precision: 0.9422, predictive_accuracy: 0.9374, prior_entropy: 0.3425, recall: 0.9374, relative_absolute_error: 0.5026, root_mean_prior_squared_error: 0.233, root_mean_squared_error: 0.2233, root_relative_squared_error: 0.9586, scimark_benchmark: 944.1067, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7604, f_measure: 0.9496, kappa: 0.5286, kb_relative_information_score: 322.9519, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.114, number_of_instances: 1390, precision: 0.9489, predictive_accuracy: 0.9504, prior_entropy: 0.3425, recall: 0.9504, relative_absolute_error: 0.4917, root_mean_prior_squared_error: 0.233, root_mean_squared_error: 0.2037, root_relative_squared_error: 0.8745, scimark_benchmark: 944.1067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7604, f_measure: 0.9496, kappa: 0.5286, kb_relative_information_score: 322.9519, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.114, number_of_instances: 1390, precision: 0.9489, predictive_accuracy: 0.9504, prior_entropy: 0.3425, recall: 0.9504, relative_absolute_error: 0.4917, root_mean_prior_squared_error: 0.233, root_mean_squared_error: 0.2037, root_relative_squared_error: 0.8745, scimark_benchmark: 944.1067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7604, f_measure: 0.9496, kappa: 0.5286, kb_relative_information_score: 322.9519, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.114, number_of_instances: 1390, precision: 0.9489, predictive_accuracy: 0.9504, prior_entropy: 0.3425, recall: 0.9504, relative_absolute_error: 0.4917, root_mean_prior_squared_error: 0.233, root_mean_squared_error: 0.2037, root_relative_squared_error: 0.8745, scimark_benchmark: 944.1067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7604, f_measure: 0.9496, kappa: 0.5286, kb_relative_information_score: 322.9519, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.114, number_of_instances: 1390, precision: 0.9489, predictive_accuracy: 0.9504, prior_entropy: 0.3425, recall: 0.9504, relative_absolute_error: 0.4917, root_mean_prior_squared_error: 0.233, root_mean_squared_error: 0.2037, root_relative_squared_error: 0.8745, scimark_benchmark: 944.1067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7604, f_measure: 0.9496, kappa: 0.5286, kb_relative_information_score: 322.9519, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.114, number_of_instances: 1390, precision: 0.9489, predictive_accuracy: 0.9504, prior_entropy: 0.3425, recall: 0.9504, relative_absolute_error: 0.4917, root_mean_prior_squared_error: 0.233, root_mean_squared_error: 0.2037, root_relative_squared_error: 0.8745, scimark_benchmark: 944.1067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7604, f_measure: 0.9496, kappa: 0.5286, kb_relative_information_score: 322.9519, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.114, number_of_instances: 1390, precision: 0.9489, predictive_accuracy: 0.9504, prior_entropy: 0.3425, recall: 0.9504, relative_absolute_error: 0.4917, root_mean_prior_squared_error: 0.233, root_mean_squared_error: 0.2037, root_relative_squared_error: 0.8745, scimark_benchmark: 944.1067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7604, f_measure: 0.9496, kappa: 0.5286, kb_relative_information_score: 322.9519, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.114, number_of_instances: 1390, precision: 0.9489, predictive_accuracy: 0.9504, prior_entropy: 0.3425, recall: 0.9504, relative_absolute_error: 0.4917, root_mean_prior_squared_error: 0.233, root_mean_squared_error: 0.2037, root_relative_squared_error: 0.8745, scimark_benchmark: 944.1067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7604, f_measure: 0.9496, kappa: 0.5286, kb_relative_information_score: 322.9519, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.114, number_of_instances: 1390, precision: 0.9489, predictive_accuracy: 0.9504, prior_entropy: 0.3425, recall: 0.9504, relative_absolute_error: 0.4917, root_mean_prior_squared_error: 0.233, root_mean_squared_error: 0.2037, root_relative_squared_error: 0.8745, scimark_benchmark: 944.1067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7604, f_measure: 0.9496, kappa: 0.5286, kb_relative_information_score: 322.9519, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.114, number_of_instances: 1390, precision: 0.9489, predictive_accuracy: 0.9504, prior_entropy: 0.3425, recall: 0.9504, relative_absolute_error: 0.4917, root_mean_prior_squared_error: 0.233, root_mean_squared_error: 0.2037, root_relative_squared_error: 0.8745, scimark_benchmark: 944.1067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9145, kb_relative_information_score: 341.7687, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.114, number_of_instances: 1390, precision: 0.8882, predictive_accuracy: 0.9424, prior_entropy: 0.3425, recall: 0.9424, relative_absolute_error: 0.5047, root_mean_prior_squared_error: 0.233, root_mean_squared_error: 0.2399, root_relative_squared_error: 1.0297, scimark_benchmark: 944.1067, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9145, kb_relative_information_score: 341.7687, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.114, number_of_instances: 1390, precision: 0.8882, predictive_accuracy: 0.9424, prior_entropy: 0.3425, recall: 0.9424, relative_absolute_error: 0.5047, root_mean_prior_squared_error: 0.233, root_mean_squared_error: 0.2399, root_relative_squared_error: 1.0297, scimark_benchmark: 944.1067, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9145, kb_relative_information_score: 341.7687, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.114, number_of_instances: 1390, precision: 0.8882, predictive_accuracy: 0.9424, prior_entropy: 0.3425, recall: 0.9424, relative_absolute_error: 0.5047, root_mean_prior_squared_error: 0.233, root_mean_squared_error: 0.2399, root_relative_squared_error: 1.0297, 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: 0.7609, f_measure: 0.9396, kappa: 0.4639, kb_relative_information_score: 297.5457, mean_absolute_error: 0.0573, mean_prior_absolute_error: 0.114, number_of_instances: 1390, precision: 0.9422, predictive_accuracy: 0.9374, prior_entropy: 0.3425, recall: 0.9374, relative_absolute_error: 0.5026, root_mean_prior_squared_error: 0.233, root_mean_squared_error: 0.2233, root_relative_squared_error: 0.9586, scimark_benchmark: 944.1067,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7604, f_measure: 0.9496, kappa: 0.5286, kb_relative_information_score: 322.9519, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.114, number_of_instances: 1390, precision: 0.9489, predictive_accuracy: 0.9504, prior_entropy: 0.3425, recall: 0.9504, relative_absolute_error: 0.4917, root_mean_prior_squared_error: 0.233, root_mean_squared_error: 0.2037, root_relative_squared_error: 0.8745, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7604, f_measure: 0.9496, kappa: 0.5286, kb_relative_information_score: 322.9519, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.114, number_of_instances: 1390, precision: 0.9489, predictive_accuracy: 0.9504, prior_entropy: 0.3425, recall: 0.9504, relative_absolute_error: 0.4917, root_mean_prior_squared_error: 0.233, root_mean_squared_error: 0.2037, root_relative_squared_error: 0.8745, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7604, f_measure: 0.9496, kappa: 0.5286, kb_relative_information_score: 322.9519, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.114, number_of_instances: 1390, precision: 0.9489, predictive_accuracy: 0.9504, prior_entropy: 0.3425, recall: 0.9504, relative_absolute_error: 0.4917, root_mean_prior_squared_error: 0.233, root_mean_squared_error: 0.2037, root_relative_squared_error: 0.8745, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7604, f_measure: 0.9496, kappa: 0.5286, kb_relative_information_score: 322.9519, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.114, number_of_instances: 1390, precision: 0.9489, predictive_accuracy: 0.9504, prior_entropy: 0.3425, recall: 0.9504, relative_absolute_error: 0.4917, root_mean_prior_squared_error: 0.233, root_mean_squared_error: 0.2037, root_relative_squared_error: 0.8745, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7604, f_measure: 0.9496, kappa: 0.5286, kb_relative_information_score: 322.9519, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.114, number_of_instances: 1390, precision: 0.9489, predictive_accuracy: 0.9504, prior_entropy: 0.3425, recall: 0.9504, relative_absolute_error: 0.4917, root_mean_prior_squared_error: 0.233, root_mean_squared_error: 0.2037, root_relative_squared_error: 0.8745, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, f_measure: 0.9594, kappa: 0.5924, kb_relative_information_score: 379.4971, mean_absolute_error: 0.0524, mean_prior_absolute_error: 0.114, number_of_instances: 1390, precision: 0.9594, predictive_accuracy: 0.9633, prior_entropy: 0.3425, recall: 0.9633, relative_absolute_error: 0.4596, root_mean_prior_squared_error: 0.233, root_mean_squared_error: 0.1745, root_relative_squared_error: 0.7489, scimark_benchmark: 932.438, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9079, f_measure: 0.9351, kappa: 0.3877, kb_relative_information_score: 219.2425, mean_absolute_error: 0.0722, mean_prior_absolute_error: 0.114, number_of_instances: 1390, precision: 0.9337, predictive_accuracy: 0.9367, prior_entropy: 0.3425, recall: 0.9367, relative_absolute_error: 0.6331, root_mean_prior_squared_error: 0.233, root_mean_squared_error: 0.2284, root_relative_squared_error: 0.9805, scimark_benchmark: 932.438, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9079, f_measure: 0.9351, kappa: 0.3877, kb_relative_information_score: 219.2425, mean_absolute_error: 0.0722, mean_prior_absolute_error: 0.114, number_of_instances: 1390, precision: 0.9337, predictive_accuracy: 0.9367, prior_entropy: 0.3425, recall: 0.9367, relative_absolute_error: 0.6331, root_mean_prior_squared_error: 0.233, root_mean_squared_error: 0.2284, root_relative_squared_error: 0.9805, scimark_benchmark: 932.438, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9079, f_measure: 0.9351, kappa: 0.3877, kb_relative_information_score: 219.2425, mean_absolute_error: 0.0722, mean_prior_absolute_error: 0.114, number_of_instances: 1390, precision: 0.9337, predictive_accuracy: 0.9367, prior_entropy: 0.3425, recall: 0.9367, relative_absolute_error: 0.6331, root_mean_prior_squared_error: 0.233, root_mean_squared_error: 0.2284, root_relative_squared_error: 0.9805, scimark_benchmark: 932.438, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7604, f_measure: 0.9496, kappa: 0.5286, kb_relative_information_score: 322.9519, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.114, number_of_instances: 1390, precision: 0.9489, predictive_accuracy: 0.9504, prior_entropy: 0.3425, recall: 0.9504, relative_absolute_error: 0.4917, root_mean_prior_squared_error: 0.233, root_mean_squared_error: 0.2037, root_relative_squared_error: 0.8745, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7522, f_measure: 0.9537, kappa: 0.5577, kb_relative_information_score: 494.8288, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.114, number_of_instances: 1390, precision: 0.9525, predictive_accuracy: 0.9554, prior_entropy: 0.3425, recall: 0.9554, relative_absolute_error: 0.5342, root_mean_prior_squared_error: 0.233, root_mean_squared_error: 0.192, root_relative_squared_error: 0.8241, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7522, f_measure: 0.9537, kappa: 0.5577, kb_relative_information_score: 494.8288, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.114, number_of_instances: 1390, precision: 0.9525, predictive_accuracy: 0.9554, prior_entropy: 0.3425, recall: 0.9554, relative_absolute_error: 0.5342, root_mean_prior_squared_error: 0.233, root_mean_squared_error: 0.192, root_relative_squared_error: 0.8241, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7522, f_measure: 0.9537, kappa: 0.5577, kb_relative_information_score: 494.8288, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.114, number_of_instances: 1390, precision: 0.9525, predictive_accuracy: 0.9554, prior_entropy: 0.3425, recall: 0.9554, relative_absolute_error: 0.5342, root_mean_prior_squared_error: 0.233, root_mean_squared_error: 0.192, root_relative_squared_error: 0.8241, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9145, kb_relative_information_score: 341.7687, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.114, number_of_instances: 1390, precision: 0.8882, predictive_accuracy: 0.9424, prior_entropy: 0.3425, recall: 0.9424, relative_absolute_error: 0.5047, root_mean_prior_squared_error: 0.233, root_mean_squared_error: 0.2399, root_relative_squared_error: 1.0297, scimark_benchmark: 932.438, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9145, kb_relative_information_score: 341.7687, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.114, number_of_instances: 1390, precision: 0.8882, predictive_accuracy: 0.9424, prior_entropy: 0.3425, recall: 0.9424, relative_absolute_error: 0.5047, root_mean_prior_squared_error: 0.233, root_mean_squared_error: 0.2399, root_relative_squared_error: 1.0297, scimark_benchmark: 932.438, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7604, f_measure: 0.9496, kappa: 0.5286, kb_relative_information_score: 322.9519, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.114, number_of_instances: 1390, precision: 0.9489, predictive_accuracy: 0.9504, prior_entropy: 0.3425, recall: 0.9504, relative_absolute_error: 0.4917, root_mean_prior_squared_error: 0.233, root_mean_squared_error: 0.2037, root_relative_squared_error: 0.8745, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9145, kb_relative_information_score: 341.7687, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.114, number_of_instances: 1390, precision: 0.8882, predictive_accuracy: 0.9424, prior_entropy: 0.3425, recall: 0.9424, relative_absolute_error: 0.5047, root_mean_prior_squared_error: 0.233, root_mean_squared_error: 0.2399, root_relative_squared_error: 1.0297, scimark_benchmark: 932.438, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9145, kb_relative_information_score: 341.7687, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.114, number_of_instances: 1390, precision: 0.8882, predictive_accuracy: 0.9424, prior_entropy: 0.3425, recall: 0.9424, relative_absolute_error: 0.5047, root_mean_prior_squared_error: 0.233, root_mean_squared_error: 0.2399, root_relative_squared_error: 1.0297, scimark_benchmark: 932.438, usercpu_time_millis: 10, usercpu_time_millis_testing: 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