Model Testing and Evaluation
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01. Intro
02. Outline
03. Testing your models
04. Confusion Matrix
05. Confusion Matrix 2
06. Accuracy
07. Accuracy 2
08. When accuracy won't work
09. False Negatives and Positives
10. Precision and Recall
11. Precision
12. Recall
13. Types of Errors
14. Model Complexity Graph
15. Cross Validation
16. K-Fold Cross Validation
17. Cross Validation for Time Series
18. Validation for Financial Data
19. Learning Curves
20. Detecting Overfitting and Underfitting with Learning Curves
21. Solution: Detecting Overfitting and Underfitting
22. Outro
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15. Cross Validation
Model-Complexity-Graph Solution 2
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