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OpenML
OpenML
Supervised Classification on analcatdata_creditscore

Supervised Classification on analcatdata_creditscore

Task 3552 Supervised Classification analcatdata_creditscore 825 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_50 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7514, f_measure: 0.7285, kappa: 0.2723, kb_relative_information_score: 26.5873, mean_absolute_error: 0.2684, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.7367, predictive_accuracy: 0.76, prior_entropy: 0.8479, recall: 0.76, relative_absolute_error: 0.6773, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4103, root_relative_squared_error: 0.9242, scimark_benchmark: 869.6028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8876, f_measure: 0.875, kappa: 0.7016, kb_relative_information_score: 63.5591, mean_absolute_error: 0.13, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.8947, predictive_accuracy: 0.87, prior_entropy: 0.8479, recall: 0.87, relative_absolute_error: 0.3281, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.8121, scimark_benchmark: 1313.9994, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6161, kb_relative_information_score: 25.1181, mean_absolute_error: 0.27, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.5329, predictive_accuracy: 0.73, prior_entropy: 0.8479, recall: 0.73, relative_absolute_error: 0.6813, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.5196, root_relative_squared_error: 1.1704, scimark_benchmark: 887.6719, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5885, f_measure: 0.7059, kappa: 0.2116, kb_relative_information_score: 27.8639, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.7076, predictive_accuracy: 0.74, prior_entropy: 0.8479, recall: 0.74, relative_absolute_error: 0.6561, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.5099, root_relative_squared_error: 1.1485, scimark_benchmark: 933.3136, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9702, kappa: 0.9248, kb_relative_information_score: 78.7534, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.9706, predictive_accuracy: 0.97, prior_entropy: 0.8479, recall: 0.97, relative_absolute_error: 0.2287, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.177, root_relative_squared_error: 0.3987, scimark_benchmark: 938.343, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9901, kappa: 0.9749, kb_relative_information_score: 96.5084, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.9904, predictive_accuracy: 0.99, prior_entropy: 0.8479, recall: 0.99, relative_absolute_error: 0.0252, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.1, root_relative_squared_error: 0.2252, scimark_benchmark: 1331.6907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9158, f_measure: 0.809, kappa: 0.4964, kb_relative_information_score: 40.8494, mean_absolute_error: 0.2373, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.8118, predictive_accuracy: 0.82, prior_entropy: 0.8479, recall: 0.82, relative_absolute_error: 0.5988, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.3354, root_relative_squared_error: 0.7555, scimark_benchmark: 923.6051, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9901, kappa: 0.9749, kb_relative_information_score: 91.0168, mean_absolute_error: 0.0408, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.9904, predictive_accuracy: 0.99, prior_entropy: 0.8479, recall: 0.99, relative_absolute_error: 0.1029, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.1074, root_relative_squared_error: 0.2419, scimark_benchmark: 1319.6463, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9901, kappa: 0.9749, kb_relative_information_score: 86.0085, mean_absolute_error: 0.0641, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.9904, predictive_accuracy: 0.99, prior_entropy: 0.8479, recall: 0.99, relative_absolute_error: 0.1616, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.1368, root_relative_squared_error: 0.308, scimark_benchmark: 1280.6952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9609, f_measure: 0.9604, kappa: 0.9008, kb_relative_information_score: 88.2711, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.9618, predictive_accuracy: 0.96, prior_entropy: 0.8479, recall: 0.96, relative_absolute_error: 0.1009, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.2, root_relative_squared_error: 0.4505, scimark_benchmark: 1361.1055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9901, kappa: 0.9749, kb_relative_information_score: 94.8577, mean_absolute_error: 0.0195, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.9904, predictive_accuracy: 0.99, prior_entropy: 0.8479, recall: 0.99, relative_absolute_error: 0.0492, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.1019, root_relative_squared_error: 0.2294, scimark_benchmark: 1319.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9901, kappa: 0.9749, kb_relative_information_score: 94.8577, mean_absolute_error: 0.0195, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.9904, predictive_accuracy: 0.99, prior_entropy: 0.8479, recall: 0.99, relative_absolute_error: 0.0492, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.1019, root_relative_squared_error: 0.2294, scimark_benchmark: 1327.6929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8683, f_measure: 0.9083, kappa: 0.7634, kb_relative_information_score: 74.5422, mean_absolute_error: 0.09, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.9086, predictive_accuracy: 0.91, prior_entropy: 0.8479, recall: 0.91, relative_absolute_error: 0.2271, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.3, root_relative_squared_error: 0.6757, scimark_benchmark: 1359.379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8988, f_measure: 0.822, kappa: 0.5538, kb_relative_information_score: 50.615, mean_absolute_error: 0.1755, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.8246, predictive_accuracy: 0.82, prior_entropy: 0.8479, recall: 0.82, relative_absolute_error: 0.443, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4079, root_relative_squared_error: 0.9188, scimark_benchmark: 868.2731, usercpu_time_millis: 1840, usercpu_time_millis_training: 1840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, f_measure: 0.9323, kappa: 0.8358, kb_relative_information_score: 80.0338, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.9444, predictive_accuracy: 0.93, prior_entropy: 0.8479, recall: 0.93, relative_absolute_error: 0.1766, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.2646, root_relative_squared_error: 0.5959, scimark_benchmark: 1339.4189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9901, kappa: 0.9749, kb_relative_information_score: 94.8577, mean_absolute_error: 0.0195, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.9904, predictive_accuracy: 0.99, prior_entropy: 0.8479, recall: 0.99, relative_absolute_error: 0.0492, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.1019, root_relative_squared_error: 0.2294, scimark_benchmark: 1339.4189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9901, kappa: 0.9749, kb_relative_information_score: 96.5084, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.9904, predictive_accuracy: 0.99, prior_entropy: 0.8479, recall: 0.99, relative_absolute_error: 0.0252, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.1, root_relative_squared_error: 0.2252, scimark_benchmark: 1351.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9802, kappa: 0.9504, kb_relative_information_score: 93.7627, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.9814, predictive_accuracy: 0.98, prior_entropy: 0.8479, recall: 0.98, relative_absolute_error: 0.0505, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.1414, root_relative_squared_error: 0.3185, scimark_benchmark: 1505.597, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4467, f_measure: 0.6161, kb_relative_information_score: -0.709, mean_absolute_error: 0.397, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.5329, predictive_accuracy: 0.73, prior_entropy: 0.8479, recall: 0.73, relative_absolute_error: 1.0017, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4445, root_relative_squared_error: 1.0012, scimark_benchmark: 1330.0803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9901, kappa: 0.9749, kb_relative_information_score: 94.8577, mean_absolute_error: 0.0195, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.9904, predictive_accuracy: 0.99, prior_entropy: 0.8479, recall: 0.99, relative_absolute_error: 0.0492, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.1019, root_relative_squared_error: 0.2294, scimark_benchmark: 1339.4189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9497, kappa: 0.8717, kb_relative_information_score: 84.8318, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.9496, predictive_accuracy: 0.95, prior_entropy: 0.8479, recall: 0.95, relative_absolute_error: 0.1343, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.2018, root_relative_squared_error: 0.4546, scimark_benchmark: 942.6953, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9497, kappa: 0.8717, kb_relative_information_score: 84.8318, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.9496, predictive_accuracy: 0.95, prior_entropy: 0.8479, recall: 0.95, relative_absolute_error: 0.1343, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.2018, root_relative_squared_error: 0.4546, scimark_benchmark: 926.6717, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9497, kappa: 0.8717, kb_relative_information_score: 84.8318, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.9496, predictive_accuracy: 0.95, prior_entropy: 0.8479, recall: 0.95, relative_absolute_error: 0.1343, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.2018, root_relative_squared_error: 0.4546, scimark_benchmark: 936.7115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9561, f_measure: 0.9698, kappa: 0.923, kb_relative_information_score: 91.0169, mean_absolute_error: 0.03, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.9699, predictive_accuracy: 0.97, prior_entropy: 0.8479, recall: 0.97, relative_absolute_error: 0.0757, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.1732, root_relative_squared_error: 0.3901, scimark_benchmark: 894.7455, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.9698, kappa: 0.923, kb_relative_information_score: 91.0169, mean_absolute_error: 0.03, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.9699, predictive_accuracy: 0.97, prior_entropy: 0.8479, recall: 0.97, relative_absolute_error: 0.0757, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.1732, root_relative_squared_error: 0.3901, scimark_benchmark: 936.6206, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9901, kappa: 0.9749, kb_relative_information_score: 96.3256, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.9904, predictive_accuracy: 0.99, prior_entropy: 0.8479, recall: 0.99, relative_absolute_error: 0.0278, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.1004, root_relative_squared_error: 0.2262, scimark_benchmark: 911.3823, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9901, kappa: 0.9749, kb_relative_information_score: 96.4765, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.9904, predictive_accuracy: 0.99, prior_entropy: 0.8479, recall: 0.99, relative_absolute_error: 0.0257, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.1, root_relative_squared_error: 0.2253, scimark_benchmark: 922.9039, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9901, kappa: 0.9749, kb_relative_information_score: 96.5066, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.9904, predictive_accuracy: 0.99, prior_entropy: 0.8479, recall: 0.99, relative_absolute_error: 0.0253, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.1, root_relative_squared_error: 0.2252, scimark_benchmark: 938.9865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.98, kappa: 0.9493, kb_relative_information_score: 93.7624, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.98, predictive_accuracy: 0.98, prior_entropy: 0.8479, recall: 0.98, relative_absolute_error: 0.0505, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.1414, root_relative_squared_error: 0.3185, scimark_benchmark: 945.6434, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.9698, kappa: 0.923, kb_relative_information_score: 91.017, mean_absolute_error: 0.03, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.9699, predictive_accuracy: 0.97, prior_entropy: 0.8479, recall: 0.97, relative_absolute_error: 0.0757, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.1732, root_relative_squared_error: 0.3901, scimark_benchmark: 938.2848, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9698, kappa: 0.923, kb_relative_information_score: 91.0935, mean_absolute_error: 0.0296, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.9699, predictive_accuracy: 0.97, prior_entropy: 0.8479, recall: 0.97, relative_absolute_error: 0.0746, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.1706, root_relative_squared_error: 0.3843, scimark_benchmark: 924.6116, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.98, kappa: 0.9493, kb_relative_information_score: 92.9668, mean_absolute_error: 0.0242, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.98, predictive_accuracy: 0.98, prior_entropy: 0.8479, recall: 0.98, relative_absolute_error: 0.061, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.1443, root_relative_squared_error: 0.325, scimark_benchmark: 902.4773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.98, kappa: 0.9493, kb_relative_information_score: 93.0912, mean_absolute_error: 0.0238, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.98, predictive_accuracy: 0.98, prior_entropy: 0.8479, recall: 0.98, relative_absolute_error: 0.0602, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.1396, root_relative_squared_error: 0.3145, scimark_benchmark: 902.4773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4467, f_measure: 0.6161, kb_relative_information_score: -0.709, mean_absolute_error: 0.397, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.5329, predictive_accuracy: 0.73, prior_entropy: 0.8479, recall: 0.73, relative_absolute_error: 1.0017, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4445, root_relative_squared_error: 1.0012, scimark_benchmark: 932.3943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9706, f_measure: 0.9311, kappa: 0.8284, kb_relative_information_score: 79.5991, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.9341, predictive_accuracy: 0.93, prior_entropy: 0.8479, recall: 0.93, relative_absolute_error: 0.1855, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.2242, root_relative_squared_error: 0.505, scimark_benchmark: 902.4773,
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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