Evaluating a hyphotesis

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Evaluating a hyphotesis
  • Choosing the correct parameters whether is underfitting or overfitting

  • Much harder evaluate hypothesis if we have much more features
  • Split training examples, for first the usual training set.
  • The second, is the test set.
  • 70% for training set and 30% set for test set for the split term
  • Recommended for the training set to be shuffled, or random sorted

  • Inject the theta from J theta training set and implement it for theta in Jerror test
  • These are the test error for linear regression
  • How about logistic regression at classification?