OpenML
Supervised Classification on dresses-sales

Supervised Classification on dresses-sales

Task 125920 Supervised Classification dresses-sales 19176 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_98 study_99
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19176 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5585, f_measure: 0.5518, kappa: 0.0767, kb_relative_information_score: 0.0557, mean_absolute_error: 0.4582, mean_prior_absolute_error: 0.4873, weighted_recall: 0.554, number_of_instances: 500, precision: 0.5503, predictive_accuracy: 0.554, prior_entropy: 0.9815, relative_absolute_error: 0.9405, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5629, root_relative_squared_error: 1.1405, unweighted_recall: 0.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5585, f_measure: 0.5518, kappa: 0.0767, kb_relative_information_score: 0.0557, mean_absolute_error: 0.4582, mean_prior_absolute_error: 0.4873, weighted_recall: 0.554, number_of_instances: 500, precision: 0.5503, predictive_accuracy: 0.554, prior_entropy: 0.9815, relative_absolute_error: 0.9405, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5629, root_relative_squared_error: 1.1405, unweighted_recall: 0.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5585, f_measure: 0.5518, kappa: 0.0767, kb_relative_information_score: 0.0557, mean_absolute_error: 0.4582, mean_prior_absolute_error: 0.4873, weighted_recall: 0.554, number_of_instances: 500, precision: 0.5503, predictive_accuracy: 0.554, prior_entropy: 0.9815, relative_absolute_error: 0.9405, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5629, root_relative_squared_error: 1.1405, unweighted_recall: 0.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5585, f_measure: 0.5518, kappa: 0.0767, kb_relative_information_score: 0.0557, mean_absolute_error: 0.4582, mean_prior_absolute_error: 0.4873, weighted_recall: 0.554, number_of_instances: 500, precision: 0.5503, predictive_accuracy: 0.554, prior_entropy: 0.9815, relative_absolute_error: 0.9405, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5629, root_relative_squared_error: 1.1405, unweighted_recall: 0.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5585, f_measure: 0.5518, kappa: 0.0767, kb_relative_information_score: 0.0557, mean_absolute_error: 0.4582, mean_prior_absolute_error: 0.4873, weighted_recall: 0.554, number_of_instances: 500, precision: 0.5503, predictive_accuracy: 0.554, prior_entropy: 0.9815, relative_absolute_error: 0.9405, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5629, root_relative_squared_error: 1.1405, unweighted_recall: 0.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6336, f_measure: 0.583, kappa: 0.1387, kb_relative_information_score: 0.1045, mean_absolute_error: 0.4389, mean_prior_absolute_error: 0.4873, weighted_recall: 0.59, number_of_instances: 500, precision: 0.5818, predictive_accuracy: 0.59, prior_entropy: 0.9815, relative_absolute_error: 0.9007, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4896, root_relative_squared_error: 0.9919, unweighted_recall: 0.5677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6336, f_measure: 0.583, kappa: 0.1387, kb_relative_information_score: 0.1045, mean_absolute_error: 0.4389, mean_prior_absolute_error: 0.4873, weighted_recall: 0.59, number_of_instances: 500, precision: 0.5818, predictive_accuracy: 0.59, prior_entropy: 0.9815, relative_absolute_error: 0.9007, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4896, root_relative_squared_error: 0.9919, unweighted_recall: 0.5677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6336, f_measure: 0.583, kappa: 0.1387, kb_relative_information_score: 0.1045, mean_absolute_error: 0.4389, mean_prior_absolute_error: 0.4873, weighted_recall: 0.59, number_of_instances: 500, precision: 0.5818, predictive_accuracy: 0.59, prior_entropy: 0.9815, relative_absolute_error: 0.9007, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4896, root_relative_squared_error: 0.9919, unweighted_recall: 0.5677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6336, f_measure: 0.583, kappa: 0.1387, kb_relative_information_score: 0.1045, mean_absolute_error: 0.4389, mean_prior_absolute_error: 0.4873, weighted_recall: 0.59, number_of_instances: 500, precision: 0.5818, predictive_accuracy: 0.59, prior_entropy: 0.9815, relative_absolute_error: 0.9007, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4896, root_relative_squared_error: 0.9919, unweighted_recall: 0.5677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6336, f_measure: 0.583, kappa: 0.1387, kb_relative_information_score: 0.1045, mean_absolute_error: 0.4389, mean_prior_absolute_error: 0.4873, weighted_recall: 0.59, number_of_instances: 500, precision: 0.5818, predictive_accuracy: 0.59, prior_entropy: 0.9815, relative_absolute_error: 0.9007, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4896, root_relative_squared_error: 0.9919, unweighted_recall: 0.5677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6336, f_measure: 0.583, kappa: 0.1387, kb_relative_information_score: 0.1045, mean_absolute_error: 0.4389, mean_prior_absolute_error: 0.4873, weighted_recall: 0.59, number_of_instances: 500, precision: 0.5818, predictive_accuracy: 0.59, prior_entropy: 0.9815, relative_absolute_error: 0.9007, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4896, root_relative_squared_error: 0.9919, unweighted_recall: 0.5677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6336, f_measure: 0.583, kappa: 0.1387, kb_relative_information_score: 0.1045, mean_absolute_error: 0.4389, mean_prior_absolute_error: 0.4873, weighted_recall: 0.59, number_of_instances: 500, precision: 0.5818, predictive_accuracy: 0.59, prior_entropy: 0.9815, relative_absolute_error: 0.9007, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4896, root_relative_squared_error: 0.9919, unweighted_recall: 0.5677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6336, f_measure: 0.583, kappa: 0.1387, kb_relative_information_score: 0.1045, mean_absolute_error: 0.4389, mean_prior_absolute_error: 0.4873, weighted_recall: 0.59, number_of_instances: 500, precision: 0.5818, predictive_accuracy: 0.59, prior_entropy: 0.9815, relative_absolute_error: 0.9007, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4896, root_relative_squared_error: 0.9919, unweighted_recall: 0.5677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6336, f_measure: 0.583, kappa: 0.1387, kb_relative_information_score: 0.1045, mean_absolute_error: 0.4389, mean_prior_absolute_error: 0.4873, weighted_recall: 0.59, number_of_instances: 500, precision: 0.5818, predictive_accuracy: 0.59, prior_entropy: 0.9815, relative_absolute_error: 0.9007, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4896, root_relative_squared_error: 0.9919, unweighted_recall: 0.5677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6554, kb_relative_information_score: 0.0044, mean_absolute_error: 0.4857, mean_prior_absolute_error: 0.4873, weighted_recall: 0.58, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9815, relative_absolute_error: 0.9968, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4921, root_relative_squared_error: 0.997, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6554, kb_relative_information_score: 0.0044, mean_absolute_error: 0.4857, mean_prior_absolute_error: 0.4873, weighted_recall: 0.58, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9815, relative_absolute_error: 0.9968, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4921, root_relative_squared_error: 0.997, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6554, kb_relative_information_score: 0.0044, mean_absolute_error: 0.4857, mean_prior_absolute_error: 0.4873, weighted_recall: 0.58, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9815, relative_absolute_error: 0.9968, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4921, root_relative_squared_error: 0.997, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6554, kb_relative_information_score: 0.0044, mean_absolute_error: 0.4857, mean_prior_absolute_error: 0.4873, weighted_recall: 0.58, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9815, relative_absolute_error: 0.9968, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4921, root_relative_squared_error: 0.997, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6554, kb_relative_information_score: 0.0044, mean_absolute_error: 0.4857, mean_prior_absolute_error: 0.4873, weighted_recall: 0.58, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9815, relative_absolute_error: 0.9968, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4921, root_relative_squared_error: 0.997, unweighted_recall: 0.5,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6554, kb_relative_information_score: 0.0044, mean_absolute_error: 0.4857, mean_prior_absolute_error: 0.4873, weighted_recall: 0.58, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9815, relative_absolute_error: 0.9968, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4921, root_relative_squared_error: 0.997, unweighted_recall: 0.5,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6554, kb_relative_information_score: 0.0044, mean_absolute_error: 0.4857, mean_prior_absolute_error: 0.4873, weighted_recall: 0.58, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9815, relative_absolute_error: 0.9968, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4921, root_relative_squared_error: 0.997, unweighted_recall: 0.5,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5585, f_measure: 0.5518, kappa: 0.0767, kb_relative_information_score: 0.0557, mean_absolute_error: 0.4582, mean_prior_absolute_error: 0.4873, weighted_recall: 0.554, number_of_instances: 500, precision: 0.5503, predictive_accuracy: 0.554, prior_entropy: 0.9815, relative_absolute_error: 0.9405, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5629, root_relative_squared_error: 1.1405, unweighted_recall: 0.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5585, f_measure: 0.5518, kappa: 0.0767, kb_relative_information_score: 0.0557, mean_absolute_error: 0.4582, mean_prior_absolute_error: 0.4873, weighted_recall: 0.554, number_of_instances: 500, precision: 0.5503, predictive_accuracy: 0.554, prior_entropy: 0.9815, relative_absolute_error: 0.9405, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5629, root_relative_squared_error: 1.1405, unweighted_recall: 0.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5585, f_measure: 0.5518, kappa: 0.0767, kb_relative_information_score: 0.0557, mean_absolute_error: 0.4582, mean_prior_absolute_error: 0.4873, weighted_recall: 0.554, number_of_instances: 500, precision: 0.5503, predictive_accuracy: 0.554, prior_entropy: 0.9815, relative_absolute_error: 0.9405, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5629, root_relative_squared_error: 1.1405, unweighted_recall: 0.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5585, f_measure: 0.5518, kappa: 0.0767, kb_relative_information_score: 0.0557, mean_absolute_error: 0.4582, mean_prior_absolute_error: 0.4873, weighted_recall: 0.554, number_of_instances: 500, precision: 0.5503, predictive_accuracy: 0.554, prior_entropy: 0.9815, relative_absolute_error: 0.9405, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5629, root_relative_squared_error: 1.1405, unweighted_recall: 0.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5585, f_measure: 0.5518, kappa: 0.0767, kb_relative_information_score: 0.0557, mean_absolute_error: 0.4582, mean_prior_absolute_error: 0.4873, weighted_recall: 0.554, number_of_instances: 500, precision: 0.5503, predictive_accuracy: 0.554, prior_entropy: 0.9815, relative_absolute_error: 0.9405, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5629, root_relative_squared_error: 1.1405, unweighted_recall: 0.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6045, f_measure: 0.5577, kappa: 0.0872, kb_relative_information_score: 0.0922, mean_absolute_error: 0.441, mean_prior_absolute_error: 0.4873, weighted_recall: 0.562, number_of_instances: 500, precision: 0.5557, predictive_accuracy: 0.562, prior_entropy: 0.9815, relative_absolute_error: 0.9051, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5199, root_relative_squared_error: 1.0533, unweighted_recall: 0.5429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6336, f_measure: 0.583, kappa: 0.1387, kb_relative_information_score: 0.1045, mean_absolute_error: 0.4389, mean_prior_absolute_error: 0.4873, weighted_recall: 0.59, number_of_instances: 500, precision: 0.5818, predictive_accuracy: 0.59, prior_entropy: 0.9815, relative_absolute_error: 0.9007, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4896, root_relative_squared_error: 0.9919, unweighted_recall: 0.5677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6582, f_measure: 0.4794, kappa: 0.046, kb_relative_information_score: 0.0309, mean_absolute_error: 0.4757, mean_prior_absolute_error: 0.4873, weighted_recall: 0.592, number_of_instances: 500, precision: 0.6049, predictive_accuracy: 0.592, prior_entropy: 0.9815, relative_absolute_error: 0.9763, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4838, root_relative_squared_error: 0.9803, unweighted_recall: 0.5202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6547, f_measure: 0.6135, kappa: 0.2077, kb_relative_information_score: 0.0855, mean_absolute_error: 0.4517, mean_prior_absolute_error: 0.4873, weighted_recall: 0.634, number_of_instances: 500, precision: 0.6274, predictive_accuracy: 0.634, prior_entropy: 0.9815, relative_absolute_error: 0.927, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4764, root_relative_squared_error: 0.9652, unweighted_recall: 0.5984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6554, kb_relative_information_score: 0.0044, mean_absolute_error: 0.4857, mean_prior_absolute_error: 0.4873, weighted_recall: 0.58, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9815, relative_absolute_error: 0.9968, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4921, root_relative_squared_error: 0.997, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6582, f_measure: 0.4794, kappa: 0.046, kb_relative_information_score: 0.0309, mean_absolute_error: 0.4757, mean_prior_absolute_error: 0.4873, weighted_recall: 0.592, number_of_instances: 500, precision: 0.6049, predictive_accuracy: 0.592, prior_entropy: 0.9815, relative_absolute_error: 0.9763, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4838, root_relative_squared_error: 0.9803, unweighted_recall: 0.5202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6554, kb_relative_information_score: 0.0044, mean_absolute_error: 0.4857, mean_prior_absolute_error: 0.4873, weighted_recall: 0.58, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9815, relative_absolute_error: 0.9968, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4921, root_relative_squared_error: 0.997, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6554, kb_relative_information_score: 0.0044, mean_absolute_error: 0.4857, mean_prior_absolute_error: 0.4873, weighted_recall: 0.58, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9815, relative_absolute_error: 0.9968, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4921, root_relative_squared_error: 0.997, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6554, kb_relative_information_score: 0.0044, mean_absolute_error: 0.4857, mean_prior_absolute_error: 0.4873, weighted_recall: 0.58, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9815, relative_absolute_error: 0.9968, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4921, root_relative_squared_error: 0.997, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6554, kb_relative_information_score: 0.0044, mean_absolute_error: 0.4857, mean_prior_absolute_error: 0.4873, weighted_recall: 0.58, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9815, relative_absolute_error: 0.9968, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4921, root_relative_squared_error: 0.997, unweighted_recall: 0.5,

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