Task
Supervised Classification on aids

Supervised Classification on aids

Task 3064 Supervised Classification aids 369 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2417, f_measure: 0.1716, kappa: -0.4857, kb_relative_information_score: -3.6911, mean_absolute_error: 0.6003, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.1932, predictive_accuracy: 0.1875, prior_entropy: 1, recall: 0.1875, relative_absolute_error: 1.2006, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6291, root_relative_squared_error: 1.2582, scimark_benchmark: 1342.2845, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.125, f_measure: 0.1716, kappa: -0.4857, kb_relative_information_score: -6.6276, mean_absolute_error: 0.6869, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.1932, predictive_accuracy: 0.1875, prior_entropy: 1, recall: 0.1875, relative_absolute_error: 1.3737, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7211, root_relative_squared_error: 1.4422, scimark_benchmark: 1342.6744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2045, kb_relative_information_score: -4, mean_absolute_error: 0.625, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.1406, predictive_accuracy: 0.375, prior_entropy: 1, recall: 0.375, relative_absolute_error: 1.25, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7906, root_relative_squared_error: 1.5811, scimark_benchmark: 1306.468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2045, kb_relative_information_score: -4, mean_absolute_error: 0.625, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.1406, predictive_accuracy: 0.375, prior_entropy: 1, recall: 0.375, relative_absolute_error: 1.25, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7906, root_relative_squared_error: 1.5811, scimark_benchmark: 1336.4701, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6417, f_measure: 0.7364, kappa: 0.4286, kb_relative_information_score: 5.3421, mean_absolute_error: 0.3473, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.75, predictive_accuracy: 0.75, prior_entropy: 1, recall: 0.75, relative_absolute_error: 0.6945, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.474, root_relative_squared_error: 0.9479, scimark_benchmark: 1306.5596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2045, kb_relative_information_score: -4, mean_absolute_error: 0.625, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.1406, predictive_accuracy: 0.375, prior_entropy: 1, recall: 0.375, relative_absolute_error: 1.25, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7906, root_relative_squared_error: 1.5811, scimark_benchmark: 1348.1311, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6417, f_measure: 0.7364, kappa: 0.4286, kb_relative_information_score: 5.3421, mean_absolute_error: 0.3473, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.75, predictive_accuracy: 0.75, prior_entropy: 1, recall: 0.75, relative_absolute_error: 0.6945, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.474, root_relative_squared_error: 0.9479, scimark_benchmark: 1346.2927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2417, f_measure: 0.1716, kappa: -0.4857, kb_relative_information_score: -3.6911, mean_absolute_error: 0.6003, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.1932, predictive_accuracy: 0.1875, prior_entropy: 1, recall: 0.1875, relative_absolute_error: 1.2006, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6291, root_relative_squared_error: 1.2582, scimark_benchmark: 1253.0071, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2045, kb_relative_information_score: -4, mean_absolute_error: 0.625, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.1406, predictive_accuracy: 0.375, prior_entropy: 1, recall: 0.375, relative_absolute_error: 1.25, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7906, root_relative_squared_error: 1.5811, scimark_benchmark: 1275.7756, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.125, f_measure: 0.1716, kappa: -0.4857, kb_relative_information_score: -6.6276, mean_absolute_error: 0.6869, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.1932, predictive_accuracy: 0.1875, prior_entropy: 1, recall: 0.1875, relative_absolute_error: 1.3737, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7211, root_relative_squared_error: 1.4422, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.125, f_measure: 0.1716, kappa: -0.4857, kb_relative_information_score: -6.6276, mean_absolute_error: 0.6869, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.1932, predictive_accuracy: 0.1875, prior_entropy: 1, recall: 0.1875, relative_absolute_error: 1.3737, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7211, root_relative_squared_error: 1.4422, scimark_benchmark: 918.0213,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2417, f_measure: 0.1716, kappa: -0.4857, kb_relative_information_score: -4.2104, mean_absolute_error: 0.6185, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.1932, predictive_accuracy: 0.1875, prior_entropy: 1, recall: 0.1875, relative_absolute_error: 1.2371, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6573, root_relative_squared_error: 1.3146, scimark_benchmark: 1310.6554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6417, f_measure: 0.6807, kappa: 0.3103, kb_relative_information_score: 2.0629, mean_absolute_error: 0.4457, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.6795, predictive_accuracy: 0.6875, prior_entropy: 1, recall: 0.6875, relative_absolute_error: 0.8914, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4968, root_relative_squared_error: 0.9936, scimark_benchmark: 1319.4538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2045, kb_relative_information_score: -0.6419, mean_absolute_error: 0.5147, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.1406, predictive_accuracy: 0.375, prior_entropy: 1, recall: 0.375, relative_absolute_error: 1.0294, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5178, root_relative_squared_error: 1.0357, scimark_benchmark: 1310.3168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6417, f_measure: 0.6807, kappa: 0.3103, kb_relative_information_score: 2.0629, mean_absolute_error: 0.4457, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.6795, predictive_accuracy: 0.6875, prior_entropy: 1, recall: 0.6875, relative_absolute_error: 0.8914, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4968, root_relative_squared_error: 0.9936, scimark_benchmark: 1064.8317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7167, build_cpu_time: 0.004, build_memory: 64313448, f_measure: 0.8148, kappa: 0.6129, kb_relative_information_score: 3.8144, mean_absolute_error: 0.3968, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.8234, predictive_accuracy: 0.8125, prior_entropy: 1, recall: 0.8125, relative_absolute_error: 0.7936, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.459, root_relative_squared_error: 0.918, scimark_benchmark: 941.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7333, build_cpu_time: 0.004, build_memory: 2011854192, f_measure: 0.6807, kappa: 0.3103, kb_relative_information_score: 2.822, mean_absolute_error: 0.4212, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.6795, predictive_accuracy: 0.6875, prior_entropy: 1, recall: 0.6875, relative_absolute_error: 0.8424, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4719, root_relative_squared_error: 0.9439, scimark_benchmark: 938.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7, build_cpu_time: 0.881, build_memory: 162764456, f_measure: 0.754, kappa: 0.5, kb_relative_information_score: 4.5945, mean_absolute_error: 0.3655, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.7813, predictive_accuracy: 0.75, prior_entropy: 1, recall: 0.75, relative_absolute_error: 0.7309, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.455, root_relative_squared_error: 0.91, scimark_benchmark: 1130.398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7167, build_cpu_time: 0.476, build_memory: 84641456, f_measure: 0.754, kappa: 0.5, kb_relative_information_score: 4.6526, mean_absolute_error: 0.3633, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.7813, predictive_accuracy: 0.75, prior_entropy: 1, recall: 0.75, relative_absolute_error: 0.7266, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4572, root_relative_squared_error: 0.9145, scimark_benchmark: 1216.8013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7333, build_cpu_time: 1.257, build_memory: 227305392, f_measure: 0.754, kappa: 0.5, kb_relative_information_score: 4.215, mean_absolute_error: 0.3824, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.7813, predictive_accuracy: 0.75, prior_entropy: 1, recall: 0.75, relative_absolute_error: 0.7649, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4501, root_relative_squared_error: 0.9003, scimark_benchmark: 943.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6833, build_cpu_time: 0.118, build_memory: 4355309760, f_measure: 0.754, kappa: 0.5, kb_relative_information_score: 4.1728, mean_absolute_error: 0.3784, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.7813, predictive_accuracy: 0.75, prior_entropy: 1, recall: 0.75, relative_absolute_error: 0.7568, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4761, root_relative_squared_error: 0.9522, scimark_benchmark: 944.9147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7417, build_cpu_time: 0.024, build_memory: 982070304, f_measure: 0.6807, kappa: 0.3103, kb_relative_information_score: 5.5845, mean_absolute_error: 0.3275, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.6795, predictive_accuracy: 0.6875, prior_entropy: 1, recall: 0.6875, relative_absolute_error: 0.6549, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5423, root_relative_squared_error: 1.0846, scimark_benchmark: 937.6343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.675, build_cpu_time: 0.585, build_memory: 19635320, f_measure: 0.6807, kappa: 0.3103, kb_relative_information_score: 6.0133, mean_absolute_error: 0.3119, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.6795, predictive_accuracy: 0.6875, prior_entropy: 1, recall: 0.6875, relative_absolute_error: 0.6239, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.558, root_relative_squared_error: 1.116, scimark_benchmark: 943.8094,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.35, build_cpu_time: 0.013, build_memory: 1769617776, f_measure: 0.375, kappa: -0.1765, kb_relative_information_score: -2.0768, mean_absolute_error: 0.5553, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.425, predictive_accuracy: 0.375, prior_entropy: 1, recall: 0.375, relative_absolute_error: 1.1105, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5738, root_relative_squared_error: 1.1476, scimark_benchmark: 940.5537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4667, build_cpu_time: 0.001, build_memory: 148824512, f_measure: 0.553, kappa: 0.0345, kb_relative_information_score: 1, mean_absolute_error: 0.474, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.5477, predictive_accuracy: 0.5625, prior_entropy: 1, recall: 0.5625, relative_absolute_error: 0.9479, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6696, root_relative_squared_error: 1.3392, scimark_benchmark: 939.084,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7333, build_cpu_time: 0.002, build_memory: 1537791968, f_measure: 0.6807, kappa: 0.3103, kb_relative_information_score: 5.4431, mean_absolute_error: 0.3326, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.6795, predictive_accuracy: 0.6875, prior_entropy: 1, recall: 0.6875, relative_absolute_error: 0.6651, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4855, root_relative_squared_error: 0.9709, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8167, build_cpu_time: 0.006, build_memory: 100183656, f_measure: 0.6558, kappa: 0.2593, kb_relative_information_score: 6.8382, mean_absolute_error: 0.2864, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.6827, predictive_accuracy: 0.6875, prior_entropy: 1, recall: 0.6875, relative_absolute_error: 0.5728, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4576, root_relative_squared_error: 0.9153, scimark_benchmark: 916.8903,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4667, build_cpu_time: 0.005, build_memory: 3019467320, f_measure: 0.3849, kappa: -0.25, kb_relative_information_score: -0.9404, mean_absolute_error: 0.5246, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.4063, predictive_accuracy: 0.375, prior_entropy: 1, recall: 0.375, relative_absolute_error: 1.0493, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.547, root_relative_squared_error: 1.094, scimark_benchmark: 941.5201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6333, build_cpu_time: 0.003, build_memory: 1676213744, f_measure: 0.6913, kappa: 0.3548, kb_relative_information_score: 1.0476, mean_absolute_error: 0.4757, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.7004, predictive_accuracy: 0.6875, prior_entropy: 1, recall: 0.6875, relative_absolute_error: 0.9514, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4893, root_relative_squared_error: 0.9787, scimark_benchmark: 919.2952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3667, build_cpu_time: 0.967, build_memory: 1116856432, f_measure: 0.4265, kappa: -0.0286, kb_relative_information_score: -1.6811, mean_absolute_error: 0.543, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.5114, predictive_accuracy: 0.4375, prior_entropy: 1, recall: 0.4375, relative_absolute_error: 1.0859, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5555, root_relative_squared_error: 1.1111, scimark_benchmark: 929.0404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5083, build_cpu_time: 0.157, build_memory: 767086824, f_measure: 0.5539, kappa: 0.2, kb_relative_information_score: 0.2064, mean_absolute_error: 0.4969, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.6705, predictive_accuracy: 0.5625, prior_entropy: 1, recall: 0.5625, relative_absolute_error: 0.9938, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5621, root_relative_squared_error: 1.1242, scimark_benchmark: 945.3978,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5167, build_cpu_time: 0.035, build_memory: 1279332776, f_measure: 0.5539, kappa: 0.2, kb_relative_information_score: -0.5735, mean_absolute_error: 0.525, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.6705, predictive_accuracy: 0.5625, prior_entropy: 1, recall: 0.5625, relative_absolute_error: 1.05, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5895, root_relative_squared_error: 1.179, scimark_benchmark: 934.8065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5167, build_cpu_time: 0.019, build_memory: 288618320, f_measure: 0.5, kappa: 0.0588, kb_relative_information_score: -0.4988, mean_absolute_error: 0.5133, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.5667, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1.0266, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5209, root_relative_squared_error: 1.0419, scimark_benchmark: 943.2048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4667, build_cpu_time: 0.073, build_memory: 340356976, f_measure: 0.5, kappa: 0.0588, kb_relative_information_score: -0.381, mean_absolute_error: 0.5125, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.5667, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1.025, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5753, root_relative_squared_error: 1.1505, scimark_benchmark: 919.3675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4667, build_cpu_time: 0.082, build_memory: 324343288, f_measure: 0.5, kappa: 0.0588, kb_relative_information_score: -0.381, mean_absolute_error: 0.5125, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.5667, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1.025, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5753, root_relative_squared_error: 1.1505, scimark_benchmark: 946.5567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4667, build_cpu_time: 0.07, build_memory: 544067088, f_measure: 0.5, kappa: 0.0588, kb_relative_information_score: -0.381, mean_absolute_error: 0.5125, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.5667, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1.025, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5753, root_relative_squared_error: 1.1505, scimark_benchmark: 941.7913,

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