Introduction to Tutorial 8 Classification Assessment Part 8
Exploring Tutorial 8 Classification Assessment Part 8 reveals several interesting facts. In this video, we add more functions to the Python implementation of the k-fold cross validation method. We also try our code with ...
Tutorial 8 Classification Assessment Part 8 Comprehensive Overview
In this video, we continue working on our previous code, we add a few more functions and try it with different In this video, we continue with the Python implementation of the k-fold cross validation method. In this video, we start the Python implementation of the k-fold cross validation method.
In this video, we start studying how we can assess the performance of our
Summary & Highlights for Tutorial 8 Classification Assessment Part 8
- In this video, we see a quick example code to show how bootstrapping might underestimate the variance of the replicas because ...
- In this video, we continue working on our previous code, we add another
- In this video, we study the k-fold cross validation method.
- In this video, we study the leave-one-out cross-validation and explain what a confusion matrix is. References in the video: ...
- In this video, we study the Random Subsampling (repeated hold-out) and Bootstrapping methods. Link to the paper referenced in ...
Stay tuned for more updates related to Tutorial 8 Classification Assessment Part 8.