Digit Insurance Data Scientist Interview Questions and Answers

Precision = TP / (TP + FP), Recall = TP / (TP + FN)

• Precision is the ratio of correctly predicted positive observations to the total predicted positive observations

• Recall is the ratio of correctly predicted positive observations to the all observations in actual class

• Example: If a model predicts 100 positive cases, out of which 80 are actually positive, precision = 80/100, recall = 80/total actual positive cases

R2 measures the proportion of variance explained by the model, while adjusted R2 adjusts for the number of predictors in the model.

• R2 is the proportion of variance in the dependent variable that is predictable from the independent variables.

• Adjusted R2 penalizes the addition of unnecessary predictors in the model, providing a more accurate measure of the model's goodness of fit.

• R2 can increase even when adding irreleva...read more

Insurance is a financial product that provides protection against specific risks in exchange for payment of a premium.

• Insurance is a contract between an individual or entity and an insurance company.

• The individual or entity pays a premium to the insurance company in exchange for coverage against specific risks.

• Types of insurance include health insurance, life insurance, auto insurance, and property insurance.

• Insurance ...read more

Insurance is a financial protection against potential losses or risks.

• Insurance is a contract between an individual or entity and an insurance company.

• The individual or entity pays a premium in exchange for coverage against specific risks.

• In case of a covered loss, the insurance company compensates the policyholder.

• Types of insurance include health, life, auto, home, and business insurance.

• Insurance helps individuals a...read more