L03 - Ridge regression

Did you remember to make the first column something unique in your call to get_records? Duplicate value '1' found in column 'activated'.
  • line 1291 of /lib/dml/mysqli_native_moodle_database.php: call to debugging()
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Error: mdb->get_record() found more than one record!
  • line 1691 of /lib/dml/moodle_database.php: call to debugging()
  • line 1651 of /lib/dml/moodle_database.php: call to moodle_database->get_record_sql()
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  • line 125 of /lib/classes/external/exporter.php: call to mod_forum\local\exporters\posts->get_other_values()
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  • line 343 of /mod/forum/discuss.php: call to mod_forum\local\renderers\discussion->render()

L03 - Ridge regression

di CRISTIANO PANIGHEL -
Numero di risposte: 0

In the formula of the Ridge regression, which is \( min_w ||y-X_w||^2_2 + \alpha*||w||^2_2 \),  \( \alpha \) stands for the regularization term and it should avoid overfitting.

With small values for \( \alpha \) the ridge regression overfits the dataset with high accuracy both in training set and test set, while with higher values for \( \alpha \) the ridge regression ends up with an approximation function very far from the target.

Here there is my work
https://colab.research.google.com/drive/1342caJPl8NPH2PgAP7hyKKm2mOh7TTC-?usp=share_link

I use this dataset 
https://stem.elearning.unipd.it/pluginfile.php/288962/mod_forum/post/4692/Melbourne_housing_FULL.csv