Feature Selection

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01. Why Feature Selection?
02. A New Enron Feature
03. A New Enron Feature Quiz
04. Visualizing Your New Feature
05. Beware of Feature Bugs!
06. Example: Buggy Feature
07. Getting Rid of Features
08. Features != Information
09. Univariate Feature Selection
10. Feature Selection in TfIdf Vectorizer
11. Bias, Variance, and Number of Features
12. Bias, Variance & Number of Features Pt 2
13. Overfitting by Eye
14. Balancing Error with Number of Features
15. Regularization
16. Lasso Regression
17. Lasso Code Quiz
18. Lasso Prediction with sklearn Quiz
19. Lasso Coefficients with sklearn Quiz
20. Using Lasso in sklearn Quiz
21. Feature Selection Mini-Project Video
22. Feature Selection Mini-Project
23. Overfitting a Decision Tree 1
24. Overfitting a Decision Tree 2
25. Number of Features and Overfitting
26. Accuracy of Your Overfit Decision Tree
27. Identify the Most Powerful Features
28. Use TfIdf to Get the Most Important Word
29. Remove, Repeat
30. Checking Important Features Again
31. Accuracy of the Overfit Tree

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24. Overfitting a Decision Tree 2

Overfitting a Decision Tree 2

Question:

If a decision tree is overfit, would you expect high or low accuracy on the training set?

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