HDFC Life Senior Data Scientist Interview Questions and Answers

Q1. 1) Formula for Precision and recall
Ans. 
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
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Q2. 2) Difference between R2 and adjusted R2
Ans. 
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
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What id regularization

Q1. Coding questions on Pandas Confusion matrix Project related questions ML algorithms Correlation Puzzle questions
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Q2. Puzzle Linear Regression Outlier
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