11 Important Model Evaluation Techniques Everyone Should Know by Laetitia Van Cauwenberge via @DataScienceCtrl - Model evaluation metrics are used to assess goodness of fit between model and data, to compare different models, in the context of model selection, and to predict how predictions (associated with a specific model and data set) are expected to be accurate. This article discusses some of them.
Very good article and well worth reading.
No comments:
Post a Comment
Note: only a member of this blog may post a comment.