Model Metrics






     

    Course Description

    In this tutorial on Introduction to Text Analytics with R, we will discuss different metrics to evaluate and improve the accuracy of the model.

    What You'll Learn

      >  The importance of metrics beyond accuracy for building effective models.

      >  Coverage of sensitivity and specificity and their importance for building effective binary classification models.

      >  The importance of feature engineering for building the most effective models.

      >  How to identify if an engineered feature is likely to be effective in Production.

      >  Improving our model with an engineered feature.



     

    Text Analytics tutorial slides can be accessed here

    Download R here

    SMS Spam Collection Dataset used in this tutorial can be accessed here



     

    Data Science Dojo Instructor - Data Science Dojo is a paradigm shift in data science learning. We enable all professionals (and students) to extract actionable insights from data.