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Function: fopen

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Function: fopen

File: /var/www/openml/openml_OS/core/MY_Database_Read_Model.php
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File: /var/www/openml/openml_OS/views/pages/frontend/t/pre.php
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Function: query

File: /var/www/openml/openml_OS/helpers/cms_helper.php
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Function: view

File: /var/www/openml/openml_OS/controllers/Frontend.php
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Function: loadpage

File: /var/www/openml/index.php
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Function: require_once

OpenML
Task
Machine Learning Challenge on MegaWatt1

Machine Learning Challenge on MegaWatt1

Task 7591 Machine Learning Challenge MegaWatt1 0 runs submitted
0 likes downloaded by 1 people , 1 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

0 Runs

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

This is a standard machine learning challenge with a hidden private dataset. It offers a labeled training set and an unlabeled test set. The task is to label the unlabeled instances. Only the OpenML server knows the correct labels, and will evaluate the submitted predictions using these hidden labels. The evaluation procedure, measure, and cost function (if any) are provided.

Given inputs

estimation_procedure Holdout unlabeled
evaluation_measures precision
source_data MegaWatt1 (1)
source_data_labeled PieChart1 (1)
target_feature def

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