You are evaluating two machine learning models that identify Tesla trucks as compared to

Rivian trucks in the set of photographs. The test set contains $30$ Rivian trucks and $70$ Tesla

trucks. Model $1$ identifies $24$ objects as Rivian trucks; eighteen are Rivian trucks, and six are

Tesla trucks. Model $2$ identifies $22$ objects in the photographs as Rivian trucks: twenty are

Rivian trucks and two are Tesla trucks. Note: Compute possible evaluation metrics from the

above information. If your answer is a fraction, ensure it is a reduced fraction.

$1.$ What is your positive class $($class $1)$ and background class $($class $0)$ in this formulation?

Rivian is class $1$ and Tesla is the background class