If the independent variable (feature) is categorical with two possible values and the dependent variable (target) is continuous, then which of the following tests can be used during feature selection to see if the independent and dependent variable has any relation or not?

Question 1 options:

	Chi-square test
	ANOVA test
	Pearson correlation
	T-test

Hyperparameters are parameters that,

Question 2 options:

	Define model's architecture
	Do not change with model training
	Are not learnt from model training
	All of the above

Which of the following evaluation metrics is suitable for evaluating a model that is trained on an imbalanced dataset, like in credit-card fraud detection?

Question 3 options:

	ROC AUC
	F-score
	Accuracy
	Error