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Function: require_once

OpenML
Task
Supervised Classification on rabe_265

Supervised Classification on rabe_265

Task 3646 Supervised Classification rabe_265 523 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:

523 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7048, f_measure: 0.6439, kappa: 0.2609, kb_relative_information_score: 11.4345, mean_absolute_error: 0.3744, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.6428, predictive_accuracy: 0.6471, prior_entropy: 0.9791, recall: 0.6471, relative_absolute_error: 0.7719, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.477, root_relative_squared_error: 0.9692, scimark_benchmark: 1324.8395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6167, f_measure: 0.6333, kappa: 0.2532, kb_relative_information_score: 15.4554, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.6756, predictive_accuracy: 0.6667, prior_entropy: 0.9791, recall: 0.6667, relative_absolute_error: 0.6873, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.1731, scimark_benchmark: 889.3151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4357, kb_relative_information_score: 7.1122, mean_absolute_error: 0.4118, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.346, predictive_accuracy: 0.5882, prior_entropy: 0.9791, recall: 0.5882, relative_absolute_error: 0.849, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.6417, root_relative_squared_error: 1.3038, scimark_benchmark: 887.6719, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5786, f_measure: 0.5756, kappa: 0.1774, kb_relative_information_score: 13.3696, mean_absolute_error: 0.3529, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.7003, predictive_accuracy: 0.6471, prior_entropy: 0.9791, recall: 0.6471, relative_absolute_error: 0.7277, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.5941, root_relative_squared_error: 1.2071, scimark_benchmark: 1297.6599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7381, f_measure: 0.6618, kappa: 0.2968, kb_relative_information_score: 11.118, mean_absolute_error: 0.3867, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.6616, predictive_accuracy: 0.6667, prior_entropy: 0.9791, recall: 0.6667, relative_absolute_error: 0.7972, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.9086, scimark_benchmark: 1335.643, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.481, f_measure: 0.3882, kappa: -0.0335, kb_relative_information_score: -9.5743, mean_absolute_error: 0.5686, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.4856, predictive_accuracy: 0.4314, prior_entropy: 0.9791, recall: 0.4314, relative_absolute_error: 1.1724, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.7541, root_relative_squared_error: 1.5322, scimark_benchmark: 942.9518, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7333, f_measure: 0.7016, kappa: 0.3796, kb_relative_information_score: 11.0964, mean_absolute_error: 0.3864, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.7023, predictive_accuracy: 0.7059, prior_entropy: 0.9791, recall: 0.7059, relative_absolute_error: 0.7968, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4525, root_relative_squared_error: 0.9195, scimark_benchmark: 882.7843, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.554, f_measure: 0.5922, kappa: 0.1905, kb_relative_information_score: 5.0009, mean_absolute_error: 0.4427, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.6684, predictive_accuracy: 0.6471, prior_entropy: 0.9791, recall: 0.6471, relative_absolute_error: 0.9128, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4926, root_relative_squared_error: 1.001, scimark_benchmark: 1372.2145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.669, f_measure: 0.6918, kappa: 0.3609, kb_relative_information_score: 9.5182, mean_absolute_error: 0.4025, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.7075, predictive_accuracy: 0.7059, prior_entropy: 0.9791, recall: 0.7059, relative_absolute_error: 0.83, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4687, root_relative_squared_error: 0.9523, scimark_benchmark: 1316.0472, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6286, f_measure: 0.6439, kappa: 0.2609, kb_relative_information_score: 13.3696, mean_absolute_error: 0.3529, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.6428, predictive_accuracy: 0.6471, prior_entropy: 0.9791, recall: 0.6471, relative_absolute_error: 0.7277, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.5941, root_relative_squared_error: 1.2071, scimark_benchmark: 1318.5526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5333, f_measure: 0.5621, kappa: 0.1146, kb_relative_information_score: 2.9709, mean_absolute_error: 0.4594, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.5929, predictive_accuracy: 0.6078, prior_entropy: 0.9791, recall: 0.6078, relative_absolute_error: 0.9471, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.5384, root_relative_squared_error: 1.0939, scimark_benchmark: 1320.2556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5786, f_measure: 0.6171, kappa: 0.2154, kb_relative_information_score: 7.5976, mean_absolute_error: 0.4184, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.6444, predictive_accuracy: 0.6471, prior_entropy: 0.9791, recall: 0.6471, relative_absolute_error: 0.8626, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.495, root_relative_squared_error: 1.0058, scimark_benchmark: 1330.2678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7714, f_measure: 0.7665, kappa: 0.5278, kb_relative_information_score: 25.8845, mean_absolute_error: 0.2353, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.7777, predictive_accuracy: 0.7647, prior_entropy: 0.9791, recall: 0.7647, relative_absolute_error: 0.4851, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4851, root_relative_squared_error: 0.9856, scimark_benchmark: 1359.379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5619, f_measure: 0.5612, kappa: 0.1387, kb_relative_information_score: 11.2838, mean_absolute_error: 0.3725, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.6405, predictive_accuracy: 0.6275, prior_entropy: 0.9791, recall: 0.6275, relative_absolute_error: 0.7681, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.6104, root_relative_squared_error: 1.2402, scimark_benchmark: 1372.2145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.569, f_measure: 0.6097, kappa: 0.1905, kb_relative_information_score: 5.9029, mean_absolute_error: 0.4307, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.6169, predictive_accuracy: 0.6275, prior_entropy: 0.9791, recall: 0.6275, relative_absolute_error: 0.888, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.5507, root_relative_squared_error: 1.119, scimark_benchmark: 1358.4523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4071, f_measure: 0.4163, kappa: -0.1806, kb_relative_information_score: -11.6601, mean_absolute_error: 0.5882, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.4259, predictive_accuracy: 0.4118, prior_entropy: 0.9791, recall: 0.4118, relative_absolute_error: 1.2128, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.767, root_relative_squared_error: 1.5584, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6595, f_measure: 0.6677, kappa: 0.3168, kb_relative_information_score: 15.4554, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.6693, predictive_accuracy: 0.6667, prior_entropy: 0.9791, recall: 0.6667, relative_absolute_error: 0.6873, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.1731, scimark_benchmark: 1353.5686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4786, f_measure: 0.4357, kb_relative_information_score: -0.0501, mean_absolute_error: 0.4853, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.346, predictive_accuracy: 0.5882, prior_entropy: 0.9791, recall: 0.5882, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4924, root_relative_squared_error: 1.0006, scimark_benchmark: 1358.4955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5214, f_measure: 0.5848, kappa: 0.1414, kb_relative_information_score: 4.2079, mean_absolute_error: 0.4466, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.5932, predictive_accuracy: 0.6078, prior_entropy: 0.9791, recall: 0.6078, relative_absolute_error: 0.9208, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.5741, root_relative_squared_error: 1.1664, scimark_benchmark: 1384.4418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6548, f_measure: 0.6677, kappa: 0.3168, kb_relative_information_score: 10.9963, mean_absolute_error: 0.3825, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.6693, predictive_accuracy: 0.6667, prior_entropy: 0.9791, recall: 0.6667, relative_absolute_error: 0.7885, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.5307, root_relative_squared_error: 1.0783, scimark_benchmark: 931.2336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6413, f_measure: 0.6471, kappa: 0.2714, kb_relative_information_score: 9.9537, mean_absolute_error: 0.3945, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.6471, predictive_accuracy: 0.6471, prior_entropy: 0.9791, recall: 0.6471, relative_absolute_error: 0.8133, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.5063, root_relative_squared_error: 1.0288, scimark_benchmark: 945.6434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.627, f_measure: 0.649, kappa: 0.2817, kb_relative_information_score: 8.668, mean_absolute_error: 0.4085, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.6529, predictive_accuracy: 0.6471, prior_entropy: 0.9791, recall: 0.6471, relative_absolute_error: 0.8423, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.5094, root_relative_squared_error: 1.035, scimark_benchmark: 941.7954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.627, f_measure: 0.649, kappa: 0.2817, kb_relative_information_score: 8.668, mean_absolute_error: 0.4085, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.6529, predictive_accuracy: 0.6471, prior_entropy: 0.9791, recall: 0.6471, relative_absolute_error: 0.8423, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.5094, root_relative_squared_error: 1.035, scimark_benchmark: 923.7642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.627, f_measure: 0.649, kappa: 0.2817, kb_relative_information_score: 8.668, mean_absolute_error: 0.4085, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.6529, predictive_accuracy: 0.6471, prior_entropy: 0.9791, recall: 0.6471, relative_absolute_error: 0.8423, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.5094, root_relative_squared_error: 1.035, scimark_benchmark: 894.7455, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6976, f_measure: 0.778, kappa: 0.5383, kb_relative_information_score: 26.5335, mean_absolute_error: 0.2322, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.7883, predictive_accuracy: 0.7843, prior_entropy: 0.9791, recall: 0.7843, relative_absolute_error: 0.4788, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4687, root_relative_squared_error: 0.9523, scimark_benchmark: 936.7115, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7278, f_measure: 0.6973, kappa: 0.3704, kb_relative_information_score: 20.0043, mean_absolute_error: 0.2923, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.7033, predictive_accuracy: 0.7059, prior_entropy: 0.9791, recall: 0.7059, relative_absolute_error: 0.6027, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.5136, root_relative_squared_error: 1.0435, scimark_benchmark: 936.6206, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7079, f_measure: 0.6918, kappa: 0.3609, kb_relative_information_score: 17.6867, mean_absolute_error: 0.3141, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.7075, predictive_accuracy: 0.7059, prior_entropy: 0.9791, recall: 0.7059, relative_absolute_error: 0.6476, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.5174, root_relative_squared_error: 1.0513, scimark_benchmark: 942.1229, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.696, f_measure: 0.6166, kappa: 0.2025, kb_relative_information_score: 12.9412, mean_absolute_error: 0.3548, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.6182, predictive_accuracy: 0.6275, prior_entropy: 0.9791, recall: 0.6275, relative_absolute_error: 0.7314, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.5157, root_relative_squared_error: 1.0479, scimark_benchmark: 922.9039, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7611, f_measure: 0.6765, kappa: 0.3411, kb_relative_information_score: 19.5715, mean_absolute_error: 0.2955, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.7311, predictive_accuracy: 0.7059, prior_entropy: 0.9791, recall: 0.7059, relative_absolute_error: 0.6093, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4984, root_relative_squared_error: 1.0127, scimark_benchmark: 938.9865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7071, f_measure: 0.7377, kappa: 0.4543, kb_relative_information_score: 22.1833, mean_absolute_error: 0.2723, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.7458, predictive_accuracy: 0.7451, prior_entropy: 0.9791, recall: 0.7451, relative_absolute_error: 0.5614, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4992, root_relative_squared_error: 1.0143, scimark_benchmark: 936.6206, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.719, f_measure: 0.7151, kappa: 0.408, kb_relative_information_score: 21.4525, mean_absolute_error: 0.2804, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.7268, predictive_accuracy: 0.7255, prior_entropy: 0.9791, recall: 0.7255, relative_absolute_error: 0.5782, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4953, root_relative_squared_error: 1.0063, scimark_benchmark: 924.6116, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7079, f_measure: 0.7329, kappa: 0.4461, kb_relative_information_score: 18.3695, mean_absolute_error: 0.3114, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.7528, predictive_accuracy: 0.7451, prior_entropy: 0.9791, recall: 0.7451, relative_absolute_error: 0.642, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4991, root_relative_squared_error: 1.0141, scimark_benchmark: 924.6116, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7238, f_measure: 0.7231, kappa: 0.4251, kb_relative_information_score: 16.9441, mean_absolute_error: 0.3277, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.7229, predictive_accuracy: 0.7255, prior_entropy: 0.9791, recall: 0.7255, relative_absolute_error: 0.6756, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4813, root_relative_squared_error: 0.9779, scimark_benchmark: 947.9494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7159, f_measure: 0.6835, kappa: 0.343, kb_relative_information_score: 14.424, mean_absolute_error: 0.3503, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.6829, predictive_accuracy: 0.6863, prior_entropy: 0.9791, recall: 0.6863, relative_absolute_error: 0.7222, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4737, root_relative_squared_error: 0.9625, scimark_benchmark: 929.566, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4786, f_measure: 0.4357, kb_relative_information_score: -0.0501, mean_absolute_error: 0.4853, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.346, predictive_accuracy: 0.5882, prior_entropy: 0.9791, recall: 0.5882, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4924, root_relative_squared_error: 1.0006, scimark_benchmark: 932.3943,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5992, build_cpu_time: 0.2586, build_memory: 850734285.9608, f_measure: 0.5822, kappa: 0.1314, kb_relative_information_score: 7.4154, mean_absolute_error: 0.4088, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.5802, predictive_accuracy: 0.5882, prior_entropy: 0.9791, recall: 0.5882, relative_absolute_error: 0.8429, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.5933, root_relative_squared_error: 1.2054, scimark_benchmark: 920.2874,
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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

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