Conclusion

• Take Home Points:
  1. Binary classifiers are important.
  2. Many classifiers can be implemented by lines or hyper-planes.
  3. These can be learned.
  4. You can test your learning algorithm wtih an N-Fold test.
• Reading: For this lecture you can look at the Binary Classification wiki , and the Linear Classifier wiki .
• the MLP Wiki.