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: 0.6333, build_cpu_time: 0.002, build_memory: 779856688, f_measure: 0.6912, kappa: 0.3939, kb_relative_information_score: 1.0132, mean_absolute_error: 0.4771, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.744, predictive_accuracy: 0.6875, prior_entropy: 1, recall: 0.6875, relative_absolute_error: 0.9542, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5064, root_relative_squared_error: 1.0129, scimark_benchmark: 945.4151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5667, build_cpu_time: 0.002, build_memory: 139122720, f_measure: 0.625, kappa: 0.2, kb_relative_information_score: 1.4859, mean_absolute_error: 0.4554, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.625, predictive_accuracy: 0.625, prior_entropy: 1, recall: 0.625, relative_absolute_error: 0.9108, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5395, root_relative_squared_error: 1.0791, scimark_benchmark: 930.1524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5667, build_cpu_time: 0.002, build_memory: 298986672, f_measure: 0.625, kappa: 0.2, kb_relative_information_score: 1.4859, mean_absolute_error: 0.4554, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.625, predictive_accuracy: 0.625, prior_entropy: 1, recall: 0.625, relative_absolute_error: 0.9108, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5395, root_relative_squared_error: 1.0791, scimark_benchmark: 934.4754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5833, build_memory: 907923560, f_measure: 0.6071, kappa: 0.2, kb_relative_information_score: 6, mean_absolute_error: 0.3125, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.7917, predictive_accuracy: 0.6875, prior_entropy: 1, recall: 0.6875, relative_absolute_error: 0.625, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.559, root_relative_squared_error: 1.118, scimark_benchmark: 893.9645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_memory: 442648032, f_measure: 0.2045, kb_relative_information_score: -0.608, mean_absolute_error: 0.5139, 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: 1.0278, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5167, root_relative_squared_error: 1.0334, scimark_benchmark: 946.9694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_memory: 712466912, f_measure: 0.2045, kb_relative_information_score: -0.608, mean_absolute_error: 0.5139, 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: 1.0278, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5167, root_relative_squared_error: 1.0334, scimark_benchmark: 943.2554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6583, build_cpu_time: 0.001, build_memory: 899873112, f_measure: 0.6913, kappa: 0.3548, kb_relative_information_score: 5.1652, mean_absolute_error: 0.3445, 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: 0.689, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5429, root_relative_squared_error: 1.0859, scimark_benchmark: 922.5645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6583, build_cpu_time: 0.001, build_memory: 797137056, f_measure: 0.6913, kappa: 0.3548, kb_relative_information_score: 5.1652, mean_absolute_error: 0.3445, 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: 0.689, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5429, root_relative_squared_error: 1.0859, scimark_benchmark: 947.3376,
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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: 0.4667, 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,
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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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.55, build_cpu_time: 0.453, build_memory: 1067771712, f_measure: 0.5539, kappa: 0.2, kb_relative_information_score: 0.2427, mean_absolute_error: 0.4977, 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: 0.9953, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5679, root_relative_squared_error: 1.1358, scimark_benchmark: 936.7714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5833, build_cpu_time: 0.679, build_memory: 2332347704, f_measure: 0.625, kappa: 0.2941, kb_relative_information_score: 0.8488, mean_absolute_error: 0.4801, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.7083, predictive_accuracy: 0.625, prior_entropy: 1, recall: 0.625, relative_absolute_error: 0.9602, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5545, root_relative_squared_error: 1.1091, scimark_benchmark: 949.2096,
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,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6333, build_cpu_time: 0.014, build_memory: 2342363824, f_measure: 0.6913, kappa: 0.3548, kb_relative_information_score: 2.0946, mean_absolute_error: 0.4445, 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: 0.8889, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4744, root_relative_squared_error: 0.9489, scimark_benchmark: 944.3501,
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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: 0.6833, 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,
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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,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.75, build_cpu_time: 0.053, build_memory: 1609843632, f_measure: 0.7935, kappa: 0.5556, kb_relative_information_score: 10, mean_absolute_error: 0.1875, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.8558, predictive_accuracy: 0.8125, prior_entropy: 1, recall: 0.8125, relative_absolute_error: 0.375, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.433, root_relative_squared_error: 0.866, scimark_benchmark: 943.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.725, build_cpu_time: 0.025, build_memory: 920132768, f_measure: 0.7935, kappa: 0.5556, kb_relative_information_score: 10, mean_absolute_error: 0.1875, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.8558, predictive_accuracy: 0.8125, prior_entropy: 1, recall: 0.8125, relative_absolute_error: 0.375, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.433, root_relative_squared_error: 0.866, scimark_benchmark: 942.4851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7, build_cpu_time: 0.012, build_memory: 1009172480, f_measure: 0.7364, kappa: 0.4286, kb_relative_information_score: 8.0016, mean_absolute_error: 0.2499, 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: 0.4999, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4993, root_relative_squared_error: 0.9986, scimark_benchmark: 909.9339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7, build_cpu_time: 0.012, build_memory: 576397040, f_measure: 0.7364, kappa: 0.4286, kb_relative_information_score: 8.0016, mean_absolute_error: 0.2499, 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: 0.4999, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4993, root_relative_squared_error: 0.9986, scimark_benchmark: 944.2618,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.725, build_cpu_time: 0.006, build_memory: 2434197608, f_measure: 0.75, kappa: 0.4667, kb_relative_information_score: 5.8111, mean_absolute_error: 0.3366, 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: 0.6731, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4378, root_relative_squared_error: 0.8755, scimark_benchmark: 949.6884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7, f_measure: 0.6071, kappa: 0.3333, kb_relative_information_score: 4, mean_absolute_error: 0.375, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.8125, predictive_accuracy: 0.625, prior_entropy: 1, recall: 0.625, relative_absolute_error: 0.75, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6124, root_relative_squared_error: 1.2247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7, f_measure: 0.6071, kappa: 0.3333, kb_relative_information_score: 4, mean_absolute_error: 0.375, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.8125, predictive_accuracy: 0.625, prior_entropy: 1, recall: 0.625, relative_absolute_error: 0.75, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6124, root_relative_squared_error: 1.2247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7, f_measure: 0.6071, kappa: 0.3333, kb_relative_information_score: 4, mean_absolute_error: 0.375, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.8125, predictive_accuracy: 0.625, prior_entropy: 1, recall: 0.625, relative_absolute_error: 0.75, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6124, root_relative_squared_error: 1.2247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7, f_measure: 0.6071, kappa: 0.3333, kb_relative_information_score: 4, mean_absolute_error: 0.375, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.8125, predictive_accuracy: 0.625, prior_entropy: 1, recall: 0.625, relative_absolute_error: 0.75, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6124, root_relative_squared_error: 1.2247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8667, build_cpu_time: 0.085, build_memory: 1621095848, f_measure: 0.7364, kappa: 0.4286, kb_relative_information_score: 4.2001, mean_absolute_error: 0.3923, 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: 0.7846, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4115, root_relative_squared_error: 0.8231, scimark_benchmark: 948.4462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3667, build_cpu_time: 0.024, build_memory: 707580112, f_measure: 0.3897, kappa: 0.027, kb_relative_information_score: -2.0517, mean_absolute_error: 0.5559, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.5609, predictive_accuracy: 0.4375, prior_entropy: 1, recall: 0.4375, relative_absolute_error: 1.1118, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5763, root_relative_squared_error: 1.1527, scimark_benchmark: 941.9918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3667, build_cpu_time: 0.008, build_memory: 298267328, f_measure: 0.3897, kappa: 0.027, kb_relative_information_score: -1.7294, mean_absolute_error: 0.5472, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.5609, predictive_accuracy: 0.4375, prior_entropy: 1, recall: 0.4375, relative_absolute_error: 1.0943, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5643, root_relative_squared_error: 1.1287, scimark_benchmark: 940.3753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.45, build_cpu_time: 0.006, build_memory: 201064288, f_measure: 0.5, kappa: 0.0588, kb_relative_information_score: -1.0029, mean_absolute_error: 0.5286, 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: 1.0572, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5458, root_relative_squared_error: 1.0917, scimark_benchmark: 944.9504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4833, build_cpu_time: 0.005, build_memory: 319554456, f_measure: 0.5676, kappa: 0.1515, kb_relative_information_score: 0.0387, mean_absolute_error: 0.5003, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.6131, predictive_accuracy: 0.5625, prior_entropy: 1, recall: 0.5625, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5177, root_relative_squared_error: 1.0355, scimark_benchmark: 848.5927,

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