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Classify1.ipynb
Classify2.ipynb
README.md
classifynotes.pdf
eval.pdf
face.edges
loss.pdf
transfusion.data

README.md

Lessons from Binary Classification

Lesson 1: Performance Evaluation, Surrogate Losses, and Class Weighting

James Sharpnack
Assistant Professor
UC Davis, Statistics Department
5/5/2017

You can see the whole lesson on nbviewer

Talk Outline

  1. Introduction with link prediction in social networks
  2. Evaluating a score with ROC and PR curves
  3. Multiple predictors and hyperplane methods
  4. Surrogate Losses
  5. Class weights

Follow along with the Notebook file: Classify1.ipynb

Here are notes that I will be using: classifynotes.pdf

Lesson 2: Overfitting, Kernel Trick

You can see the whole lesson on nbviewer