Establish an evaluation framework

- [Narrator] In this lesson we're going to start … to pull everything together into a cohesive framework … that will be used for evaluating our model. … Now, there are two components of an evaluation framework. … First, there's the evaluation metrics. … How are we gauging the accuracy of the model? … What is the quantitative measure of performance … that we're going to use? … Secondly, there's the process. … How will we leverage our full dataset … to mitigate the likelihood of overfitting or underfitting? … Both of which will impact the models ability … to generalize. … What are the evaluation metrics … that we'll use for our Titanic dataset? … It's important to note that this is … what's called a classification problem. … We're just making a binary prediction. … Did they survive or not? … Rather than trying to predict some continuous number, … like the number of umbrellas sold, … that's what's called a regression problem. … So, for a classification problem, … we're going to use three commonly used evaluation metrics. …