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Add information on the lack of support for legacy studies
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PGijsbers committed Dec 15, 2023
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Expand Up @@ -91,6 +91,45 @@ includes datasets which are private.
The `limit` and `offset` parameters can now be used independently, you no longer need
to provide both if you wish to set only one.

## Studies

### `GET /{id_or_alias}`

Old-style "legacy" studies which are solely based on tags are no longer supported.

??? info "Affected Legacy Studies"

Only 24 old studies were affected by this change, listed below.
There is currently not yet a migration plan for these studies.

| id | name|
| --: | :-- |
|1 |A large-scale comparison of classification algorit...|
|2 |Fast Algorithm Selection using Learning Curves|
|3 |Multi-Task Learning with a Natural Metric for Quan...|
|5 |Local and Global Feature Selection on Multilabel T...|
|7 |Massive machine learning experiments using mlr and...|
|8 |Decision tree comparaison|
|10| Collaborative primer|
|11| Having a Blast: Meta-Learning and Heterogeneous En...|
|12| Subspace Clustering via Seeking Neighbors with Min...|
|13| Meta-QSAR: learning how to learn QSARs|
|17| Subgroup Discovery|
|20| Mythbusting data mining urban legends through larg...|
|22| Identifying critical paths in undergraduate progra...|
|24| OpenML R paper|
|25| Bernd Demo Study for Multiclass SVMs OML WS 2016|
|27| Compare three different SVM versions of R package ...|
|30| OpenML Paper Study|
|31| Iris Data set Study|
|32| Data Streams and more|
|34| Massively Collaborative Machine Learning|
|37| Speeding up Algorithm Selection via Meta-learning ...|
|38| Performance of new ctree implementations on classi...|
|41| ASLib OpenML Scenario|
|50| Hyper-parameter tuning of Decision Trees|
|51| ensemble on diabetes |

## Others

### `GET /estimationprocedure/list`
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