FiveClassifiers.Stimulus

The F1 scores for five classification models are shown below. You may assume that these are consistent with results from extensive cross-validation, and that none of the models require a 3-set partition (so only Training and Validation appear).

	Tr	Va
Model 1	0.71	0.65
Model 2	0.75	0.61
Model 3	0.73	0.63
Model 4	0.74	0.62
Model 5	0.72	0.64

1. Which of the models is the most accurate based on the stated metric?

Model 4

Model 1

Model 3

Model 5

Model 2

2. Evidence of overfitting is the strongest for which of the models?

Model 2

Model 4

Model 1

Model 5

Model 3

Explain your reasoning for your answers to the previous two multiple-choice questions. Please explicitly state what part of your response goes with which question.