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Function: require_once

OpenML
Task
Supervised Classification on baskball

Supervised Classification on baskball

Task 3597 Supervised Classification baskball 501 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 under100k under1m
Issue #Downvotes for this reason By


Metric:

501 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7377, f_measure: 0.6449, kappa: 0.2932, kb_relative_information_score: 30.1325, mean_absolute_error: 0.3415, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.6491, predictive_accuracy: 0.6458, prior_entropy: 0.9997, recall: 0.6458, relative_absolute_error: 0.6833, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4825, root_relative_squared_error: 0.9653, scimark_benchmark: 854.5188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6785, f_measure: 0.6759, kappa: 0.3558, kb_relative_information_score: 33.9615, mean_absolute_error: 0.3229, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.6819, predictive_accuracy: 0.6771, prior_entropy: 0.9997, recall: 0.6771, relative_absolute_error: 0.6461, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5683, root_relative_squared_error: 1.1368, scimark_benchmark: 1313.9994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5532, f_measure: 0.4514, kappa: 0.1084, kb_relative_information_score: 11.9483, mean_absolute_error: 0.4375, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.7644, predictive_accuracy: 0.5625, prior_entropy: 0.9997, recall: 0.5625, relative_absolute_error: 0.8754, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6614, root_relative_squared_error: 1.3232, scimark_benchmark: 940.3347, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7295, f_measure: 0.7292, kappa: 0.4586, kb_relative_information_score: 43.9675, mean_absolute_error: 0.2708, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.7298, predictive_accuracy: 0.7292, prior_entropy: 0.9997, recall: 0.7292, relative_absolute_error: 0.5419, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5204, root_relative_squared_error: 1.0411, scimark_benchmark: 1386.5717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7288, f_measure: 0.7083, kappa: 0.4164, kb_relative_information_score: 20.3664, mean_absolute_error: 0.4089, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.7083, predictive_accuracy: 0.7083, prior_entropy: 0.9997, recall: 0.7083, relative_absolute_error: 0.8182, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4615, root_relative_squared_error: 0.9233, scimark_benchmark: 1304.9611, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5556, f_measure: 0.5394, kappa: 0.1103, kb_relative_information_score: 9.9471, mean_absolute_error: 0.4479, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.5632, predictive_accuracy: 0.5521, prior_entropy: 0.9997, recall: 0.5521, relative_absolute_error: 0.8962, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6693, root_relative_squared_error: 1.3388, scimark_benchmark: 935.5075, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7779, f_measure: 0.7289, kappa: 0.459, kb_relative_information_score: 29.0676, mean_absolute_error: 0.365, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.7312, predictive_accuracy: 0.7292, prior_entropy: 0.9997, recall: 0.7292, relative_absolute_error: 0.7303, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4395, root_relative_squared_error: 0.8792, scimark_benchmark: 1250.8301, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7647, f_measure: 0.7289, kappa: 0.459, kb_relative_information_score: 30.7156, mean_absolute_error: 0.3511, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.7312, predictive_accuracy: 0.7292, prior_entropy: 0.9997, recall: 0.7292, relative_absolute_error: 0.7026, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4557, root_relative_squared_error: 0.9116, scimark_benchmark: 1280.6952, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6554, f_measure: 0.6557, kappa: 0.3113, kb_relative_information_score: 29.9591, mean_absolute_error: 0.3438, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.6564, predictive_accuracy: 0.6563, prior_entropy: 0.9997, recall: 0.6563, relative_absolute_error: 0.6878, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5863, root_relative_squared_error: 1.1729, scimark_benchmark: 1313.5726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6526, f_measure: 0.6458, kappa: 0.2914, kb_relative_information_score: 21.2803, mean_absolute_error: 0.3991, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.6458, predictive_accuracy: 0.6458, prior_entropy: 0.9997, recall: 0.6458, relative_absolute_error: 0.7986, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5052, root_relative_squared_error: 1.0106, scimark_benchmark: 1320.2556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6596, f_measure: 0.7183, kappa: 0.4385, kb_relative_information_score: 26.131, mean_absolute_error: 0.3818, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.7218, predictive_accuracy: 0.7188, prior_entropy: 0.9997, recall: 0.7188, relative_absolute_error: 0.764, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4656, root_relative_squared_error: 0.9315, scimark_benchmark: 1327.6929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7384, f_measure: 0.7386, kappa: 0.4778, kb_relative_information_score: 45.9687, mean_absolute_error: 0.2604, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.7417, predictive_accuracy: 0.7396, prior_entropy: 0.9997, recall: 0.7396, relative_absolute_error: 0.5211, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5103, root_relative_squared_error: 1.0208, scimark_benchmark: 1339.3974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5799, f_measure: 0.52, kappa: 0.1575, kb_relative_information_score: 13.9495, mean_absolute_error: 0.4271, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.646, predictive_accuracy: 0.5729, prior_entropy: 0.9997, recall: 0.5729, relative_absolute_error: 0.8545, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6535, root_relative_squared_error: 1.3073, scimark_benchmark: 1290.1085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6624, f_measure: 0.7187, kappa: 0.438, kb_relative_information_score: 27.9206, mean_absolute_error: 0.3709, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.72, predictive_accuracy: 0.7188, prior_entropy: 0.9997, recall: 0.7188, relative_absolute_error: 0.7421, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4692, root_relative_squared_error: 0.9386, scimark_benchmark: 1358.4523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7477, f_measure: 0.7467, kappa: 0.4976, kb_relative_information_score: 47.9699, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.7603, predictive_accuracy: 0.75, prior_entropy: 0.9997, recall: 0.75, relative_absolute_error: 0.5002, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0002, scimark_benchmark: 1351.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7601, f_measure: 0.7603, kappa: 0.5204, kb_relative_information_score: 49.9711, mean_absolute_error: 0.2396, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.7604, predictive_accuracy: 0.7604, prior_entropy: 0.9997, recall: 0.7604, relative_absolute_error: 0.4794, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4895, root_relative_squared_error: 0.9792, scimark_benchmark: 1353.5686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4681, f_measure: 0.345, kb_relative_information_score: -0.059, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.2605, predictive_accuracy: 0.5104, prior_entropy: 0.9997, recall: 0.5104, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0004, scimark_benchmark: 1505.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.642, f_measure: 0.7187, kappa: 0.438, kb_relative_information_score: 27.1188, mean_absolute_error: 0.3758, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.72, predictive_accuracy: 0.7188, prior_entropy: 0.9997, recall: 0.7188, relative_absolute_error: 0.752, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4808, root_relative_squared_error: 0.9619, scimark_benchmark: 1605.6303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7021, f_measure: 0.7076, kappa: 0.4154, kb_relative_information_score: 36.7949, mean_absolute_error: 0.3107, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.7093, predictive_accuracy: 0.7083, prior_entropy: 0.9997, recall: 0.7083, relative_absolute_error: 0.6216, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5267, root_relative_squared_error: 1.0536, scimark_benchmark: 931.2336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.746, f_measure: 0.7289, kappa: 0.4576, kb_relative_information_score: 34.5722, mean_absolute_error: 0.3316, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.7293, predictive_accuracy: 0.7292, prior_entropy: 0.9997, recall: 0.7292, relative_absolute_error: 0.6635, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4666, root_relative_squared_error: 0.9334, scimark_benchmark: 932.3943, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7564, f_measure: 0.7289, kappa: 0.4576, kb_relative_information_score: 32.7144, mean_absolute_error: 0.3423, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.7293, predictive_accuracy: 0.7292, prior_entropy: 0.9997, recall: 0.7292, relative_absolute_error: 0.6849, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4563, root_relative_squared_error: 0.9128, scimark_benchmark: 941.7954, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7564, f_measure: 0.7289, kappa: 0.4576, kb_relative_information_score: 32.7144, mean_absolute_error: 0.3423, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.7293, predictive_accuracy: 0.7292, prior_entropy: 0.9997, recall: 0.7292, relative_absolute_error: 0.6849, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4563, root_relative_squared_error: 0.9128, scimark_benchmark: 923.7642, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7564, f_measure: 0.7289, kappa: 0.4576, kb_relative_information_score: 32.7144, mean_absolute_error: 0.3423, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.7293, predictive_accuracy: 0.7292, prior_entropy: 0.9997, recall: 0.7292, relative_absolute_error: 0.6849, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4563, root_relative_squared_error: 0.9128, scimark_benchmark: 894.7455, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7664, f_measure: 0.7604, kappa: 0.5208, kb_relative_information_score: 48.354, mean_absolute_error: 0.2517, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.7606, predictive_accuracy: 0.7604, prior_entropy: 0.9997, recall: 0.7604, relative_absolute_error: 0.5036, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4577, root_relative_squared_error: 0.9156, scimark_benchmark: 936.7115, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.766, f_measure: 0.7604, kappa: 0.5208, kb_relative_information_score: 45.4428, mean_absolute_error: 0.268, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.7606, predictive_accuracy: 0.7604, prior_entropy: 0.9997, recall: 0.7604, relative_absolute_error: 0.5362, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4714, root_relative_squared_error: 0.943, scimark_benchmark: 936.6206, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7618, f_measure: 0.7498, kappa: 0.5007, kb_relative_information_score: 44.6303, mean_absolute_error: 0.2715, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.7522, predictive_accuracy: 0.75, prior_entropy: 0.9997, recall: 0.75, relative_absolute_error: 0.5432, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4739, root_relative_squared_error: 0.9479, scimark_benchmark: 942.1229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7783, f_measure: 0.7395, kappa: 0.4787, kb_relative_information_score: 43.0986, mean_absolute_error: 0.2783, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.7396, predictive_accuracy: 0.7396, prior_entropy: 0.9997, recall: 0.7396, relative_absolute_error: 0.5569, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.48, root_relative_squared_error: 0.9602, scimark_benchmark: 922.9039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7801, f_measure: 0.7289, kappa: 0.4576, kb_relative_information_score: 44.1569, mean_absolute_error: 0.2734, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.7293, predictive_accuracy: 0.7292, prior_entropy: 0.9997, recall: 0.7292, relative_absolute_error: 0.5471, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4704, root_relative_squared_error: 0.9409, scimark_benchmark: 938.9865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7464, f_measure: 0.6978, kappa: 0.3953, kb_relative_information_score: 37.2446, mean_absolute_error: 0.3084, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.6979, predictive_accuracy: 0.6979, prior_entropy: 0.9997, recall: 0.6979, relative_absolute_error: 0.617, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4852, root_relative_squared_error: 0.9705, scimark_benchmark: 936.6206, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7364, f_measure: 0.6872, kappa: 0.3742, kb_relative_information_score: 33.5344, mean_absolute_error: 0.3301, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.6876, predictive_accuracy: 0.6875, prior_entropy: 0.9997, recall: 0.6875, relative_absolute_error: 0.6605, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4828, root_relative_squared_error: 0.9658, scimark_benchmark: 924.6116, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7462, f_measure: 0.7083, kappa: 0.4164, kb_relative_information_score: 33.7608, mean_absolute_error: 0.3312, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.7083, predictive_accuracy: 0.7083, prior_entropy: 0.9997, recall: 0.7083, relative_absolute_error: 0.6628, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4672, root_relative_squared_error: 0.9346, scimark_benchmark: 924.6116, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7364, f_measure: 0.6875, kappa: 0.3747, kb_relative_information_score: 29.6498, mean_absolute_error: 0.3566, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.6875, predictive_accuracy: 0.6875, prior_entropy: 0.9997, recall: 0.6875, relative_absolute_error: 0.7135, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4685, root_relative_squared_error: 0.9371, scimark_benchmark: 947.9494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7408, f_measure: 0.6766, kappa: 0.353, kb_relative_information_score: 27.7768, mean_absolute_error: 0.3675, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.6774, predictive_accuracy: 0.6771, prior_entropy: 0.9997, recall: 0.6771, relative_absolute_error: 0.7354, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4648, root_relative_squared_error: 0.9298, scimark_benchmark: 929.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4681, f_measure: 0.345, kb_relative_information_score: -0.059, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.2605, predictive_accuracy: 0.5104, prior_entropy: 0.9997, recall: 0.5104, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0004, scimark_benchmark: 943.2817,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7067, build_cpu_time: 0.4322, build_memory: 835400879.4167, f_measure: 0.6872, kappa: 0.3758, kb_relative_information_score: 36.1767, mean_absolute_error: 0.3111, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.6894, predictive_accuracy: 0.6875, prior_entropy: 0.9997, recall: 0.6875, relative_absolute_error: 0.6224, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5566, root_relative_squared_error: 1.1134, scimark_benchmark: 937.9603,
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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

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From your own software

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

OpenML APIs