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OpenML
Task
Supervised Classification on strikes

Supervised Classification on strikes

Task 3636 Supervised Classification strikes 567 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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567 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.9328, kappa: 0.8656, kb_relative_information_score: 501.3646, mean_absolute_error: 0.1034, mean_prior_absolute_error: 0.5, number_of_instances: 625, precision: 0.9331, predictive_accuracy: 0.9328, prior_entropy: 1, recall: 0.9328, relative_absolute_error: 0.2068, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2282, root_relative_squared_error: 0.4565, scimark_benchmark: 854.5188, usercpu_time_millis: 50, usercpu_time_millis_testing: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5997, f_measure: 0.5787, kappa: 0.2002, kb_relative_information_score: 126.9541, mean_absolute_error: 0.3984, mean_prior_absolute_error: 0.5, number_of_instances: 625, precision: 0.6269, predictive_accuracy: 0.6016, prior_entropy: 1, recall: 0.6016, relative_absolute_error: 0.7969, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6312, root_relative_squared_error: 1.2624, scimark_benchmark: 1325.2092, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3378, kb_relative_information_score: 4.9429, mean_absolute_error: 0.496, mean_prior_absolute_error: 0.5, number_of_instances: 625, precision: 0.254, predictive_accuracy: 0.504, prior_entropy: 1, recall: 0.504, relative_absolute_error: 0.9921, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7043, root_relative_squared_error: 1.4086, scimark_benchmark: 887.6719, usercpu_time_millis: 530, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6264, f_measure: 0.6222, kappa: 0.2523, kb_relative_information_score: 156.9569, mean_absolute_error: 0.3744, mean_prior_absolute_error: 0.5, number_of_instances: 625, precision: 0.6313, predictive_accuracy: 0.6256, prior_entropy: 1, recall: 0.6256, relative_absolute_error: 0.7488, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6119, root_relative_squared_error: 1.2238, scimark_benchmark: 1297.6599, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7135, f_measure: 0.6407, kappa: 0.2838, kb_relative_information_score: 105.5294, mean_absolute_error: 0.4257, mean_prior_absolute_error: 0.5, number_of_instances: 625, precision: 0.6436, predictive_accuracy: 0.6416, prior_entropy: 1, recall: 0.6416, relative_absolute_error: 0.8515, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4605, root_relative_squared_error: 0.9211, scimark_benchmark: 938.343, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5282, f_measure: 0.5278, kappa: 0.0563, kb_relative_information_score: 34.9457, mean_absolute_error: 0.472, mean_prior_absolute_error: 0.5, number_of_instances: 625, precision: 0.5282, predictive_accuracy: 0.528, prior_entropy: 1, recall: 0.528, relative_absolute_error: 0.9441, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.687, root_relative_squared_error: 1.3741, scimark_benchmark: 942.6843, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7953, f_measure: 0.7108, kappa: 0.4315, kb_relative_information_score: 158.3558, mean_absolute_error: 0.3867, mean_prior_absolute_error: 0.5, number_of_instances: 625, precision: 0.7308, predictive_accuracy: 0.7152, prior_entropy: 1, recall: 0.7152, relative_absolute_error: 0.7734, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4327, root_relative_squared_error: 0.8655, scimark_benchmark: 889.3151, usercpu_time_millis: 4690, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 4610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 610.988, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.5, number_of_instances: 625, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.0301, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0302, root_relative_squared_error: 0.0603, scimark_benchmark: 1372.2145, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.984, kappa: 0.968, kb_relative_information_score: 545.0127, mean_absolute_error: 0.0766, mean_prior_absolute_error: 0.5, number_of_instances: 625, precision: 0.9841, predictive_accuracy: 0.984, prior_entropy: 1, recall: 0.984, relative_absolute_error: 0.1533, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1365, root_relative_squared_error: 0.273, scimark_benchmark: 1327.8711, usercpu_time_millis: 140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9616, f_measure: 0.9616, kappa: 0.9232, kb_relative_information_score: 576.9954, mean_absolute_error: 0.0384, mean_prior_absolute_error: 0.5, number_of_instances: 625, precision: 0.9616, predictive_accuracy: 0.9616, prior_entropy: 1, recall: 0.9616, relative_absolute_error: 0.0768, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.196, root_relative_squared_error: 0.3919, scimark_benchmark: 1346.9602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.944, kappa: 0.888, kb_relative_information_score: 539.6328, mean_absolute_error: 0.0727, mean_prior_absolute_error: 0.5, number_of_instances: 625, precision: 0.944, predictive_accuracy: 0.944, prior_entropy: 1, recall: 0.944, relative_absolute_error: 0.1453, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.212, root_relative_squared_error: 0.4241, scimark_benchmark: 1319.9043, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9699, f_measure: 0.9696, kappa: 0.9392, kb_relative_information_score: 574.9011, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.5, number_of_instances: 625, precision: 0.97, predictive_accuracy: 0.9696, prior_entropy: 1, recall: 0.9696, relative_absolute_error: 0.0867, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1738, root_relative_squared_error: 0.3477, scimark_benchmark: 1354.2491, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9026, f_measure: 0.9023, kappa: 0.8049, kb_relative_information_score: 502.9886, mean_absolute_error: 0.0976, mean_prior_absolute_error: 0.5, number_of_instances: 625, precision: 0.9039, predictive_accuracy: 0.9024, prior_entropy: 1, recall: 0.9024, relative_absolute_error: 0.1952, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3124, root_relative_squared_error: 0.6248, scimark_benchmark: 1291.6995, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4653, f_measure: 0.3436, kappa: -0.0699, kb_relative_information_score: -39.0611, mean_absolute_error: 0.5312, mean_prior_absolute_error: 0.5, number_of_instances: 625, precision: 0.3563, predictive_accuracy: 0.4688, prior_entropy: 1, recall: 0.4688, relative_absolute_error: 1.0625, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7288, root_relative_squared_error: 1.4577, scimark_benchmark: 1363.454, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9856, kappa: 0.9712, kb_relative_information_score: 605.5942, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.5, number_of_instances: 625, precision: 0.986, predictive_accuracy: 0.9856, prior_entropy: 1, recall: 0.9856, relative_absolute_error: 0.032, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1129, root_relative_squared_error: 0.2257, scimark_benchmark: 1358.4523, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 624.9998, mean_prior_absolute_error: 0.5, number_of_instances: 625, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, root_mean_prior_squared_error: 0.5, scimark_benchmark: 1351.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.992, kappa: 0.984, kb_relative_information_score: 614.9989, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.5, number_of_instances: 625, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 1, recall: 0.992, relative_absolute_error: 0.016, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0894, root_relative_squared_error: 0.1789, scimark_benchmark: 1353.5686, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.496, f_measure: 0.3378, kb_relative_information_score: -0.0064, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 625, precision: 0.254, predictive_accuracy: 0.504, prior_entropy: 1, recall: 0.504, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1330.0803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9952, kappa: 0.9904, kb_relative_information_score: 617.6136, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.5, number_of_instances: 625, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 1, recall: 0.9952, relative_absolute_error: 0.0126, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0684, root_relative_squared_error: 0.1367, scimark_benchmark: 1384.4418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6637, f_measure: 0.6192, kappa: 0.2494, kb_relative_information_score: 126.8265, mean_absolute_error: 0.4038, mean_prior_absolute_error: 0.5, number_of_instances: 625, precision: 0.6319, predictive_accuracy: 0.624, prior_entropy: 1, recall: 0.624, relative_absolute_error: 0.8076, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5187, root_relative_squared_error: 1.0375, scimark_benchmark: 931.2336, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6767, f_measure: 0.6236, kappa: 0.259, kb_relative_information_score: 111.4973, mean_absolute_error: 0.4182, mean_prior_absolute_error: 0.5, number_of_instances: 625, precision: 0.6376, predictive_accuracy: 0.6288, prior_entropy: 1, recall: 0.6288, relative_absolute_error: 0.8365, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4946, root_relative_squared_error: 0.9892, scimark_benchmark: 945.6434, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6731, f_measure: 0.6282, kappa: 0.2617, kb_relative_information_score: 105.2611, mean_absolute_error: 0.4233, mean_prior_absolute_error: 0.5, number_of_instances: 625, precision: 0.6345, predictive_accuracy: 0.6304, prior_entropy: 1, recall: 0.6304, relative_absolute_error: 0.8466, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4893, root_relative_squared_error: 0.9786, scimark_benchmark: 941.7954, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6783, f_measure: 0.6243, kappa: 0.2519, kb_relative_information_score: 95.3897, mean_absolute_error: 0.433, mean_prior_absolute_error: 0.5, number_of_instances: 625, precision: 0.6281, predictive_accuracy: 0.6256, prior_entropy: 1, recall: 0.6256, relative_absolute_error: 0.8661, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4796, root_relative_squared_error: 0.9592, scimark_benchmark: 923.7642, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6783, f_measure: 0.6243, kappa: 0.2519, kb_relative_information_score: 95.3897, mean_absolute_error: 0.433, mean_prior_absolute_error: 0.5, number_of_instances: 625, precision: 0.6281, predictive_accuracy: 0.6256, prior_entropy: 1, recall: 0.6256, relative_absolute_error: 0.8661, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4796, root_relative_squared_error: 0.9592, scimark_benchmark: 894.7455, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9664, kappa: 0.9328, kb_relative_information_score: 578.1487, mean_absolute_error: 0.039, mean_prior_absolute_error: 0.5, number_of_instances: 625, precision: 0.9666, predictive_accuracy: 0.9664, prior_entropy: 1, recall: 0.9664, relative_absolute_error: 0.078, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1519, root_relative_squared_error: 0.3038, scimark_benchmark: 936.6206, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.9056, kappa: 0.8112, kb_relative_information_score: 502.6993, mean_absolute_error: 0.0991, mean_prior_absolute_error: 0.5, number_of_instances: 625, precision: 0.9056, predictive_accuracy: 0.9056, prior_entropy: 1, recall: 0.9056, relative_absolute_error: 0.1983, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.25, root_relative_squared_error: 0.4999, scimark_benchmark: 943.2817, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9485, f_measure: 0.8448, kappa: 0.6896, kb_relative_information_score: 435.0448, mean_absolute_error: 0.1529, mean_prior_absolute_error: 0.5, number_of_instances: 625, precision: 0.8448, predictive_accuracy: 0.8448, prior_entropy: 1, recall: 0.8448, relative_absolute_error: 0.3058, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3192, root_relative_squared_error: 0.6385, scimark_benchmark: 942.1229, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8987, f_measure: 0.7919, kappa: 0.5838, kb_relative_information_score: 355.4729, mean_absolute_error: 0.2171, mean_prior_absolute_error: 0.5, number_of_instances: 625, precision: 0.7925, predictive_accuracy: 0.792, prior_entropy: 1, recall: 0.792, relative_absolute_error: 0.4343, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.7948, scimark_benchmark: 922.9039, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8449, f_measure: 0.7823, kappa: 0.565, kb_relative_information_score: 330.0177, mean_absolute_error: 0.2405, mean_prior_absolute_error: 0.5, number_of_instances: 625, precision: 0.7832, predictive_accuracy: 0.7824, prior_entropy: 1, recall: 0.7824, relative_absolute_error: 0.4811, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.8634, scimark_benchmark: 938.9865, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 624.4482, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.5, number_of_instances: 625, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.0012, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0021, root_relative_squared_error: 0.0042, scimark_benchmark: 936.6206, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9984, kappa: 0.9968, kb_relative_information_score: 610.4786, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.5, number_of_instances: 625, precision: 0.9984, predictive_accuracy: 0.9984, prior_entropy: 1, recall: 0.9984, relative_absolute_error: 0.0304, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0378, root_relative_squared_error: 0.0755, scimark_benchmark: 924.6116, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9904, kappa: 0.9808, kb_relative_information_score: 555.4931, mean_absolute_error: 0.0681, mean_prior_absolute_error: 0.5, number_of_instances: 625, precision: 0.9904, predictive_accuracy: 0.9904, prior_entropy: 1, recall: 0.9904, relative_absolute_error: 0.1362, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1216, root_relative_squared_error: 0.2432, scimark_benchmark: 924.6116, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9648, kappa: 0.9296, kb_relative_information_score: 473.3448, mean_absolute_error: 0.1403, mean_prior_absolute_error: 0.5, number_of_instances: 625, precision: 0.9648, predictive_accuracy: 0.9648, prior_entropy: 1, recall: 0.9648, relative_absolute_error: 0.2806, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2096, root_relative_squared_error: 0.4193, scimark_benchmark: 947.9494, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9701, f_measure: 0.9007, kappa: 0.8015, kb_relative_information_score: 392.3497, mean_absolute_error: 0.2079, mean_prior_absolute_error: 0.5, number_of_instances: 625, precision: 0.9021, predictive_accuracy: 0.9008, prior_entropy: 1, recall: 0.9008, relative_absolute_error: 0.4158, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2743, root_relative_squared_error: 0.5486, scimark_benchmark: 929.566, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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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

OpenML bootcamp

From your own software

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

OpenML APIs