Model Metrics – Introduction to Text Analytics with R Part 9
Model Metrics includes specific coverage of:
– 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.
Kaggle Spam Data Set
The data and R code here
Introduction to Text Analytics with R
More Data Science Material:
[Video] Classification Models
[Blog] Machine Learning As A Service Tutorial: Deploy the Models!