OpenML
Supervised Classification on chscase_census6

Supervised Classification on chscase_census6

Task 3763 Supervised Classification chscase_census6 585 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.4348, kb_relative_information_score: 0.0012, mean_absolute_error: 0.4847, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0001, scimark_benchmark: 1320.9387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5017, f_measure: 0.4842, kappa: 0.0038, kb_relative_information_score: 0.9128, mean_absolute_error: 0.4828, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.5194, predictive_accuracy: 0.5725, prior_entropy: 0.978, recall: 0.5725, relative_absolute_error: 0.9959, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4994, root_relative_squared_error: 1.0145, scimark_benchmark: 1341.5795, usercpu_time_millis: 510, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.4348, kb_relative_information_score: -0.0512, mean_absolute_error: 0.4848, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0001, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.4348, kb_relative_information_score: -0.0512, mean_absolute_error: 0.4848, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0001, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.4348, kb_relative_information_score: -0.0512, mean_absolute_error: 0.4848, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0001, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.4348, kb_relative_information_score: -0.0512, mean_absolute_error: 0.4848, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0001, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.4348, kb_relative_information_score: -0.0512, mean_absolute_error: 0.4848, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0001, scimark_benchmark: 1288.1375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4528, f_measure: 0.4925, kappa: -0.0519, kb_relative_information_score: -14.1394, mean_absolute_error: 0.4958, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.4878, predictive_accuracy: 0.515, prior_entropy: 0.978, recall: 0.515, relative_absolute_error: 1.0228, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5211, root_relative_squared_error: 1.0586, scimark_benchmark: 918.0213, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.4348, kb_relative_information_score: -0.0512, mean_absolute_error: 0.4848, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0001, scimark_benchmark: 938.0414,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.4348, kb_relative_information_score: 0.0012, mean_absolute_error: 0.4847, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0001, scimark_benchmark: 1261.7298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4599, f_measure: 0.4854, kappa: -0.0493, kb_relative_information_score: -22.4867, mean_absolute_error: 0.5057, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.4847, predictive_accuracy: 0.53, prior_entropy: 0.978, recall: 0.53, relative_absolute_error: 1.0433, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5259, root_relative_squared_error: 1.0682, scimark_benchmark: 1335.2029, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.4348, kb_relative_information_score: -0.0512, mean_absolute_error: 0.4848, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0001, scimark_benchmark: 1345.7204,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.4348, kb_relative_information_score: -0.0512, mean_absolute_error: 0.4848, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0001, scimark_benchmark: 926.6704, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4697, f_measure: 0.4865, kappa: -0.0571, kb_relative_information_score: -9.3489, mean_absolute_error: 0.4902, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.4828, predictive_accuracy: 0.52, prior_entropy: 0.978, recall: 0.52, relative_absolute_error: 1.0113, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5143, root_relative_squared_error: 1.0447, scimark_benchmark: 1311.9814, usercpu_time_millis: 170, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 140,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4826, f_measure: 0.4976, kappa: -0.0119, kb_relative_information_score: -13.3913, mean_absolute_error: 0.4972, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.5071, predictive_accuracy: 0.5525, prior_entropy: 0.978, recall: 0.5525, relative_absolute_error: 1.0257, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5335, root_relative_squared_error: 1.0838, scimark_benchmark: 1320.9026, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4371, f_measure: 0.4576, kappa: -0.1189, kb_relative_information_score: -21.2957, mean_absolute_error: 0.5033, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.449, predictive_accuracy: 0.49, prior_entropy: 0.978, recall: 0.49, relative_absolute_error: 1.0382, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5309, root_relative_squared_error: 1.0784, scimark_benchmark: 939.449, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4134, f_measure: 0.4537, kappa: -0.1071, kb_relative_information_score: -22.1263, mean_absolute_error: 0.5046, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.4451, predictive_accuracy: 0.5075, prior_entropy: 0.978, recall: 0.5075, relative_absolute_error: 1.0409, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.528, root_relative_squared_error: 1.0726, scimark_benchmark: 1465.2979, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4454, f_measure: 0.4871, kappa: -0.0422, kb_relative_information_score: -11.9391, mean_absolute_error: 0.4934, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.4883, predictive_accuracy: 0.535, prior_entropy: 0.978, recall: 0.535, relative_absolute_error: 1.0178, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5099, root_relative_squared_error: 1.0358, scimark_benchmark: 1291.6995, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4528, f_measure: 0.4925, kappa: -0.0519, kb_relative_information_score: -14.1394, mean_absolute_error: 0.4958, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.4878, predictive_accuracy: 0.515, prior_entropy: 0.978, recall: 0.515, relative_absolute_error: 1.0228, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5211, root_relative_squared_error: 1.0586, scimark_benchmark: 915.9693, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.4348, kb_relative_information_score: 0.0012, mean_absolute_error: 0.4847, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0001, scimark_benchmark: 1363.434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4215, f_measure: 0.4404, kappa: -0.1318, kb_relative_information_score: -20.2293, mean_absolute_error: 0.502, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.4273, predictive_accuracy: 0.4975, prior_entropy: 0.978, recall: 0.4975, relative_absolute_error: 1.0356, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5239, root_relative_squared_error: 1.0642, scimark_benchmark: 930.5999, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4101, f_measure: 0.4374, kappa: -0.1062, kb_relative_information_score: -18.8673, mean_absolute_error: 0.5012, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.4223, predictive_accuracy: 0.52, prior_entropy: 0.978, recall: 0.52, relative_absolute_error: 1.034, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5183, root_relative_squared_error: 1.0528, scimark_benchmark: 932.0242, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4084, f_measure: 0.4359, kappa: -0.1108, kb_relative_information_score: -16.1004, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.4198, predictive_accuracy: 0.5175, prior_entropy: 0.978, recall: 0.5175, relative_absolute_error: 1.0288, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5138, root_relative_squared_error: 1.0437, scimark_benchmark: 882.7843, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.424, f_measure: 0.4538, kappa: -0.0691, kb_relative_information_score: -14.0841, mean_absolute_error: 0.497, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.4518, predictive_accuracy: 0.5375, prior_entropy: 0.978, recall: 0.5375, relative_absolute_error: 1.0252, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5095, root_relative_squared_error: 1.0351, scimark_benchmark: 942.9518, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4206, f_measure: 0.4399, kappa: -0.0679, kb_relative_information_score: -13.1561, mean_absolute_error: 0.4957, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.4291, predictive_accuracy: 0.545, prior_entropy: 0.978, recall: 0.545, relative_absolute_error: 1.0227, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.506, root_relative_squared_error: 1.0279, scimark_benchmark: 825.5282, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5525, f_measure: 0.56, kappa: 0.0854, kb_relative_information_score: 14.5227, mean_absolute_error: 0.4655, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.5576, predictive_accuracy: 0.5675, prior_entropy: 0.978, recall: 0.5675, relative_absolute_error: 0.9603, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5212, root_relative_squared_error: 1.0587, scimark_benchmark: 1321.9426, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5167, f_measure: 0.5084, kappa: -0.0196, kb_relative_information_score: 0.0393, mean_absolute_error: 0.4767, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.5058, predictive_accuracy: 0.5125, prior_entropy: 0.978, recall: 0.5125, relative_absolute_error: 0.9834, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.556, root_relative_squared_error: 1.1295, scimark_benchmark: 1325.2092, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5039, f_measure: 0.4449, kappa: 0.0092, kb_relative_information_score: 57.088, mean_absolute_error: 0.41, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.6213, predictive_accuracy: 0.59, prior_entropy: 0.978, recall: 0.59, relative_absolute_error: 0.8458, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.6403, root_relative_squared_error: 1.3007, scimark_benchmark: 1442.7264, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4348, kb_relative_information_score: 54.9977, mean_absolute_error: 0.4125, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 0.8509, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.6423, root_relative_squared_error: 1.3047, scimark_benchmark: 887.6719, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4348, kb_relative_information_score: 54.9977, mean_absolute_error: 0.4125, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 0.8509, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.6423, root_relative_squared_error: 1.3047, scimark_benchmark: 1337.7959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5008, f_measure: 0.4348, kb_relative_information_score: -18.2398, mean_absolute_error: 0.4988, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 1.029, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0152, scimark_benchmark: 930.5999, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5042, f_measure: 0.4623, kappa: 0.0097, kb_relative_information_score: 52.9073, mean_absolute_error: 0.415, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.5389, predictive_accuracy: 0.585, prior_entropy: 0.978, recall: 0.585, relative_absolute_error: 0.8561, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.6442, root_relative_squared_error: 1.3086, scimark_benchmark: 942.6843, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5017, f_measure: 0.4842, kappa: 0.0038, kb_relative_information_score: 0.9157, mean_absolute_error: 0.4828, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.5194, predictive_accuracy: 0.5725, prior_entropy: 0.978, recall: 0.5725, relative_absolute_error: 0.9959, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4994, root_relative_squared_error: 1.0145, scimark_benchmark: 934.4732, usercpu_time_millis: 1040, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 1000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4811, f_measure: 0.4413, kappa: -0.0434, kb_relative_information_score: 32.0035, mean_absolute_error: 0.44, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.4377, predictive_accuracy: 0.56, prior_entropy: 0.978, recall: 0.56, relative_absolute_error: 0.9077, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.6633, root_relative_squared_error: 1.3474, scimark_benchmark: 934.0566, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.4348, kb_relative_information_score: -0.0512, mean_absolute_error: 0.4848, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0001, scimark_benchmark: 1028.5889,

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