Clearly explain the difference between prediction and classification models.

What is the output of a prediction model?

What is the output of a classification model?

Give 3 examples of metrics available for the evaluation of prediction models.

Give 5 examples of metrics available for the evaluation of classification models.

Explain why we typically partition data into training and validation datasets?

A model built to forecast survival in intensive care unit has recall of 0.7 and precision of 0.5. There were 50 survivors and 50 deaths in the validation dataset. Please provide the corresponding TP, TN, FP, FN counts for the confusion matrix.

Please explain what recall of 0.7 means.

Please explain what precision of 0.5 means.

Please explain how the ROC curve is constructed.