Caret Package is a comprehensive framework for building machine learning models in R. In this tutorial, I explain nearly all the core features of the caret package and walk you through the step-by-step process of building predictive models. Be it a decision tree or xgboost, caret helps to find the optimal model in the shortest […]
Tag Archives: Evaluation Metrics
Top 15 Evaluation Metrics for Classification Models
Choosing the right evaluation metric for classification models is important to the success of a machine learning app. Monitoring only the ‘accuracy score’ gives an incomplete picture of your model’s performance and can impact the effectiveness. So, consider the following 15 evaluation metrics before you finalize on the KPIs of your classifier model. [container] [columnize] […]
