fit_transform vs transform in scikit-learn

Jun 11, 2023

Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!

Tips and Traps¶

fit_transform is used on training data while transform is used on test data.

References¶

What and why behind fit_transform() and transform() in scikit-learn!

https://towardsdatascience.com/what-and-why-behind-fit-transform-vs-transform-in-scikit-learn-78f915cf96fe

Tree-Based Models in scikit-learn

May 26, 2023

Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!

Comments¶

If you want a simple decision tree,

DecisionTreeRegressor is prefer to DecisionTreeClassifier as DecisionTreeRegressor is more flexible.

As a matter of fact, ensemble tree-based models (no matter classifiers or regressors) are based on DecisionTreeRegressor instead of DecisionTreeClassifier .

Visualize Decision Trees¶

What is the meaning of "value" in a node in sklearn decisiontree plot_tree

Tips on the Mojo Programming Language

May 21, 2023

Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!

Check installed Python packages in Mojo notebook.

%%python
import os
os.system("pip list")

References

https://playground.modular.com/

Double Dipping in Machine Learning

May 11, 2023

Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!

Double dipping is a term for overfitting a model through both building and evaluating the model on the same data-set, yielding inappropriately high statistical significance and circular logic.