Python Social Media Analytics

Confusion matrix

A confusion matrix is a technique for summarizing the performance of a classification algorithm. It provides information of what the classification model is getting right and what types of errors it is making. Predictions of the results on a classification problem are usually visualized by the following matrix:

For illustration we are using a two-class problem, and we have to select specific outcome from observations and define it as a base case (for example, it rains versus alternative (rejected) no rain). It becomes a reference point for evaluating our model with the test data.

• True Positive for correctly predicted values ...