Bite Sized Learning: Machine Learning - Classification

Machine Learning  - Classification problem

Winter is Coming back......




  • A classification problem is when the predicted variable is a category. For example "spam" or "not spam"
  • A classification model attempts to draw some conclusion from observed values
  • Given the inputs or features a classification model will try to predict the value of one or more outcomes
  • When the predicted variable has two category ("spam" or "not spam") then it is a binary classfication problem
  • However when the predicted variable has more than two categories then it is multiclass classification
  • Here we will see a simple binary classification model to predict who will die in the famous series "Game of Thrones"

Check out this link for the model - Winter is Coming

More details on ML classification  - click here



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