I am optimizing hyperparameters of Decision Trees for Classification on a Train-Validation-Test split of the MakeMoons dataset. The hyperparameters are as follows-
depth
min_samples_split
criterion
The optimization code is shown in 3 ways-
Nested For loops (uses 1 fold)
Itertools product (uses 1 fold)
Sklearn's GridSearchCV (currently using 5 fold cross-validation on [Train + Val], and accuracies of the best model are reported on [Test])
This is a new notebook and so I've placed it in the "notebooks/hyperparameter-optimisation" location.
This PR addresses issue #18 .
I am optimizing hyperparameters of Decision Trees for Classification on a Train-Validation-Test split of the MakeMoons dataset. The hyperparameters are as follows-
The optimization code is shown in 3 ways-
This is a new notebook and so I've placed it in the "notebooks/hyperparameter-optimisation" location.