OpenML
Supervised Classification on labor

Supervised Classification on labor

Task 234 Supervised Classification labor 336 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9156, build_cpu_time: 0.04, build_memory: 674501880, f_measure: 0.8349, kappa: 0.6582, kb_relative_information_score: 11.7517, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.8417, predictive_accuracy: 0.8333, prior_entropy: 0.9393, recall: 0.8333, relative_absolute_error: 0.3562, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.8354, scimark_benchmark: 942.7834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9156, build_cpu_time: 0.044, build_memory: 1797770744, f_measure: 0.8349, kappa: 0.6582, kb_relative_information_score: 11.7517, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.8417, predictive_accuracy: 0.8333, prior_entropy: 0.9393, recall: 0.8333, relative_absolute_error: 0.3562, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.8354, scimark_benchmark: 935.1201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9156, build_cpu_time: 0.047, build_memory: 1270017672, f_measure: 0.8349, kappa: 0.6582, kb_relative_information_score: 11.7517, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.8417, predictive_accuracy: 0.8333, prior_entropy: 0.9393, recall: 0.8333, relative_absolute_error: 0.3562, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.8354, scimark_benchmark: 920.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9156, build_cpu_time: 0.048, build_memory: 160556080, f_measure: 0.8349, kappa: 0.6582, kb_relative_information_score: 11.7517, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.8417, predictive_accuracy: 0.8333, prior_entropy: 0.9393, recall: 0.8333, relative_absolute_error: 0.3562, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.8354, scimark_benchmark: 874.2668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9156, build_cpu_time: 0.047, build_memory: 120646848, f_measure: 0.8349, kappa: 0.6582, kb_relative_information_score: 11.7517, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.8417, predictive_accuracy: 0.8333, prior_entropy: 0.9393, recall: 0.8333, relative_absolute_error: 0.3562, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.8354, scimark_benchmark: 927.1482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7662, build_cpu_time: 0.002, build_memory: 169909936, f_measure: 0.6046, kappa: 0.16, kb_relative_information_score: 3.345, mean_absolute_error: 0.3695, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.6019, predictive_accuracy: 0.6111, prior_entropy: 0.9393, recall: 0.6111, relative_absolute_error: 0.7895, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.5937, root_relative_squared_error: 1.215, scimark_benchmark: 918.7639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7857, build_cpu_time: 0.005, build_memory: 201105032, f_measure: 0.6046, kappa: 0.16, kb_relative_information_score: 3.2992, mean_absolute_error: 0.3693, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.6019, predictive_accuracy: 0.6111, prior_entropy: 0.9393, recall: 0.6111, relative_absolute_error: 0.7891, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.5942, root_relative_squared_error: 1.2161, scimark_benchmark: 926.4124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7987, build_cpu_time: 0.012, build_memory: 1027092184, f_measure: 0.7176, kappa: 0.4, kb_relative_information_score: 6.2402, mean_absolute_error: 0.3071, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.7176, predictive_accuracy: 0.7222, prior_entropy: 0.9393, recall: 0.7222, relative_absolute_error: 0.6561, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.5339, root_relative_squared_error: 1.0927, scimark_benchmark: 947.2691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7987, build_cpu_time: 0.01, build_memory: 904502648, f_measure: 0.7176, kappa: 0.4, kb_relative_information_score: 6.2402, mean_absolute_error: 0.3071, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.7176, predictive_accuracy: 0.7222, prior_entropy: 0.9393, recall: 0.7222, relative_absolute_error: 0.6561, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.5339, root_relative_squared_error: 1.0927, scimark_benchmark: 907.1899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7987, build_cpu_time: 0.015, build_memory: 89882088, f_measure: 0.7176, kappa: 0.4, kb_relative_information_score: 6.2402, mean_absolute_error: 0.3071, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.7176, predictive_accuracy: 0.7222, prior_entropy: 0.9393, recall: 0.7222, relative_absolute_error: 0.6561, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.5339, root_relative_squared_error: 1.0927, scimark_benchmark: 938.8409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6364, build_cpu_time: 0.005, build_memory: 702078280, f_measure: 0.6528, kappa: 0.2603, kb_relative_information_score: 5.5771, mean_absolute_error: 0.3172, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.6564, predictive_accuracy: 0.6667, prior_entropy: 0.9393, recall: 0.6667, relative_absolute_error: 0.6777, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.5461, root_relative_squared_error: 1.1176, scimark_benchmark: 874.2668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6364, build_cpu_time: 0.003, build_memory: 1761737936, f_measure: 0.6528, kappa: 0.2603, kb_relative_information_score: 5.5771, mean_absolute_error: 0.3172, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.6564, predictive_accuracy: 0.6667, prior_entropy: 0.9393, recall: 0.6667, relative_absolute_error: 0.6777, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.5461, root_relative_squared_error: 1.1176, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6364, build_cpu_time: 0.001, build_memory: 2355353080, f_measure: 0.6528, kappa: 0.2603, kb_relative_information_score: 5.5771, mean_absolute_error: 0.3172, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.6564, predictive_accuracy: 0.6667, prior_entropy: 0.9393, recall: 0.6667, relative_absolute_error: 0.6777, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.5461, root_relative_squared_error: 1.1176, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6364, build_cpu_time: 0.001, build_memory: 1068062288, f_measure: 0.6528, kappa: 0.2603, kb_relative_information_score: 5.5771, mean_absolute_error: 0.3172, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.6564, predictive_accuracy: 0.6667, prior_entropy: 0.9393, recall: 0.6667, relative_absolute_error: 0.6777, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.5461, root_relative_squared_error: 1.1176, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6364, build_cpu_time: 0.001, build_memory: 1258589784, f_measure: 0.6528, kappa: 0.2603, kb_relative_information_score: 5.5771, mean_absolute_error: 0.3172, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.6564, predictive_accuracy: 0.6667, prior_entropy: 0.9393, recall: 0.6667, relative_absolute_error: 0.6777, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.5461, root_relative_squared_error: 1.1176, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8701, build_cpu_time: 0.019, build_memory: 1433227784, f_measure: 0.6528, kappa: 0.2603, kb_relative_information_score: 7.2696, mean_absolute_error: 0.2823, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.6564, predictive_accuracy: 0.6667, prior_entropy: 0.9393, recall: 0.6667, relative_absolute_error: 0.6033, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4009, root_relative_squared_error: 0.8204, scimark_benchmark: 943.8094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8701, build_cpu_time: 0.02, build_memory: 1317891024, f_measure: 0.6528, kappa: 0.2603, kb_relative_information_score: 7.2696, mean_absolute_error: 0.2823, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.6564, predictive_accuracy: 0.6667, prior_entropy: 0.9393, recall: 0.6667, relative_absolute_error: 0.6033, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4009, root_relative_squared_error: 0.8204, scimark_benchmark: 924.9295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8701, build_cpu_time: 0.012, build_memory: 2281159136, f_measure: 0.6528, kappa: 0.2603, kb_relative_information_score: 7.2696, mean_absolute_error: 0.2823, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.6564, predictive_accuracy: 0.6667, prior_entropy: 0.9393, recall: 0.6667, relative_absolute_error: 0.6033, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4009, root_relative_squared_error: 0.8204, scimark_benchmark: 872.1114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8701, build_cpu_time: 0.024, build_memory: 1290585712, f_measure: 0.6528, kappa: 0.2603, kb_relative_information_score: 7.2696, mean_absolute_error: 0.2823, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.6564, predictive_accuracy: 0.6667, prior_entropy: 0.9393, recall: 0.6667, relative_absolute_error: 0.6033, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4009, root_relative_squared_error: 0.8204, scimark_benchmark: 945.0532,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8766, build_cpu_time: 0.031, build_memory: 627843904, f_measure: 0.8349, kappa: 0.6582, kb_relative_information_score: 11.7539, mean_absolute_error: 0.1666, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.8417, predictive_accuracy: 0.8333, prior_entropy: 0.9393, recall: 0.8333, relative_absolute_error: 0.3561, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.8354, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.961, build_cpu_time: 0.015, build_memory: 315155664, f_measure: 0.8349, kappa: 0.6582, kb_relative_information_score: 11.8705, mean_absolute_error: 0.1626, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.8417, predictive_accuracy: 0.8333, prior_entropy: 0.9393, recall: 0.8333, relative_absolute_error: 0.3474, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3984, root_relative_squared_error: 0.8154, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, build_cpu_time: 0.005, build_memory: 2067212600, f_measure: 0.8889, kappa: 0.7662, kb_relative_information_score: 14.7552, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.8889, predictive_accuracy: 0.8889, prior_entropy: 0.9393, recall: 0.8889, relative_absolute_error: 0.2006, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2666, root_relative_squared_error: 0.5456, scimark_benchmark: 937.9119,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8571, build_cpu_time: 0.038, build_memory: 17918024, f_measure: 0.8206, kappa: 0.6197, kb_relative_information_score: 11.7188, mean_absolute_error: 0.1679, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.869, predictive_accuracy: 0.8333, prior_entropy: 0.9393, recall: 0.8333, relative_absolute_error: 0.3588, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3798, root_relative_squared_error: 0.7773, scimark_benchmark: 909.5718,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.961, build_cpu_time: 0.692, build_memory: 1725002264, f_measure: 0.9435, kappa: 0.88, kb_relative_information_score: 12.908, mean_absolute_error: 0.1542, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.9491, predictive_accuracy: 0.9444, prior_entropy: 0.9393, recall: 0.9444, relative_absolute_error: 0.3294, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2575, root_relative_squared_error: 0.527, scimark_benchmark: 944.9156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8571, build_cpu_time: 0.037, build_memory: 478892664, f_measure: 0.7176, kappa: 0.4, kb_relative_information_score: 6.4446, mean_absolute_error: 0.3101, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.7176, predictive_accuracy: 0.7222, prior_entropy: 0.9393, recall: 0.7222, relative_absolute_error: 0.6627, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4304, root_relative_squared_error: 0.8809, scimark_benchmark: 943.2048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8442, build_cpu_time: 0.024, build_memory: 382288560, f_measure: 0.7176, kappa: 0.4, kb_relative_information_score: 6.563, mean_absolute_error: 0.3079, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.7176, predictive_accuracy: 0.7222, prior_entropy: 0.9393, recall: 0.7222, relative_absolute_error: 0.6578, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4245, root_relative_squared_error: 0.8688, scimark_benchmark: 946.7087,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8701, build_cpu_time: 0.016, build_memory: 1229318224, f_measure: 0.7176, kappa: 0.4, kb_relative_information_score: 7.6068, mean_absolute_error: 0.2698, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.7176, predictive_accuracy: 0.7222, prior_entropy: 0.9393, recall: 0.7222, relative_absolute_error: 0.5765, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.8161, scimark_benchmark: 941.0866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8701, build_cpu_time: 0.017, build_memory: 1723826192, f_measure: 0.7176, kappa: 0.4, kb_relative_information_score: 7.6068, mean_absolute_error: 0.2698, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.7176, predictive_accuracy: 0.7222, prior_entropy: 0.9393, recall: 0.7222, relative_absolute_error: 0.5765, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.8161, scimark_benchmark: 931.0999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8701, build_cpu_time: 1.771, build_memory: 1372676448, f_measure: 0.5814, kappa: 0.1127, kb_relative_information_score: 7.103, mean_absolute_error: 0.2856, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.5873, predictive_accuracy: 0.6111, prior_entropy: 0.9393, recall: 0.6111, relative_absolute_error: 0.6102, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3926, root_relative_squared_error: 0.8035, scimark_benchmark: 945.8546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8701, build_cpu_time: 0.998, build_memory: 1106412512, f_measure: 0.5814, kappa: 0.1127, kb_relative_information_score: 7.1094, mean_absolute_error: 0.2857, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.5873, predictive_accuracy: 0.6111, prior_entropy: 0.9393, recall: 0.6111, relative_absolute_error: 0.6105, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3925, root_relative_squared_error: 0.8033, scimark_benchmark: 932.8277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8701, build_cpu_time: 0.623, build_memory: 1312193264, f_measure: 0.6528, kappa: 0.2603, kb_relative_information_score: 7.1063, mean_absolute_error: 0.2876, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.6564, predictive_accuracy: 0.6667, prior_entropy: 0.9393, recall: 0.6667, relative_absolute_error: 0.6145, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3929, root_relative_squared_error: 0.8041, scimark_benchmark: 933.4529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8701, build_cpu_time: 0.165, build_memory: 2479252032, f_measure: 0.6528, kappa: 0.2603, kb_relative_information_score: 7.0497, mean_absolute_error: 0.2868, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.6564, predictive_accuracy: 0.6667, prior_entropy: 0.9393, recall: 0.6667, relative_absolute_error: 0.6129, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3964, root_relative_squared_error: 0.8113, scimark_benchmark: 947.2295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8182, build_cpu_time: 0.001, build_memory: 1492605824, f_measure: 0.7176, kappa: 0.4, kb_relative_information_score: 7.1056, mean_absolute_error: 0.2889, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.7176, predictive_accuracy: 0.7222, prior_entropy: 0.9393, recall: 0.7222, relative_absolute_error: 0.6173, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4177, root_relative_squared_error: 0.8548, scimark_benchmark: 902.1764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8961, build_cpu_time: 0.314, build_memory: 991679008, f_measure: 0.8903, kappa: 0.7778, kb_relative_information_score: 9.9916, mean_absolute_error: 0.2279, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.9136, predictive_accuracy: 0.8889, prior_entropy: 0.9393, recall: 0.8889, relative_absolute_error: 0.4869, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3286, root_relative_squared_error: 0.6726, scimark_benchmark: 926.9727,

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