Model Evaluation Metrics

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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. F1 Score
14. F-beta Score
15. ROC Curve
16. Sklearn Practice (Classification)
17. Regression Metrics
18. Sklearn Practice (Regression)
19. Text: Recap
20. Summary

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18. Sklearn Practice (Regression)

Code

If you need a code on the https://github.com/udacity.

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