Understanding the testing matrix
In this section, we will look at the testing matrix that we should consider in order to evaluate the trained ML models. For the baseline approach, we will be using the following five testing matrices:
Precision
Recall
F1-score
Support
Training accuracy
Before we understand these terms, let's cover some basic terms that will help us to understand the preceding terms.
True Positive (TP)—If the classifier predicts that the given movie review carries a positive sentiment and that movie review has a positive sentiment in an actual scenario, then these kinds of test cases are considered TP. So, you can define the TP as if the test result is one that detects the condition when the condition is actually present.
True Negative (TN)—If the classifier predicts that the given movie review carries a negative sentiment and that movie review has a negative sentiment in an actual scenario, then those kinds of test cases are considered True Negative(TN). So, you can define the...
