Two data scientists in your team finished training a logistic regression model to predict which cars are likely to gave 4 cylinder (class CO) or have 8 cylinder (class C1). The two predictors they used are the car's MPG and wheel displacement. The two theta coefficients for the two predictors and their sigmoid curves are shown in the following figure. They also evaluated the prediction quality of their model based on recall, precision, F-score from class CO (see below). They also measure the overall accuracy as 80% (see below). Since all the measurements look very good, they plan to submit the figure and the measurements in a report to their customers. Can you tell your team members (1) what problems you observed from the figure in three sentences, and (2) what problems you observed in their measurement in three sentences? ONPC - -0.73 displacement = 1.83 probability MPG Displacement Recall of CO = 0.94 Precision of CO = 0.83 F-Score of CO - 0.88 Overall accuracy = 0.8