Cadbury Senior Data Scientist Interview Questions and Answers

Confusion matrix is a table used to evaluate the performance of a classification model.

• It is a matrix with rows representing the actual classes and columns representing the predicted classes.

• It helps in visualizing the performance of a classification model by showing the counts of true positive, true negative, false positive, and false negative predictions.

• It is commonly used in machine learning to assess the accuracy ...read more

r2 and adjusted r2 are metrics used to evaluate the goodness of fit of a regression model.

• r2 (R-squared) measures the proportion of the variance in the dependent variable that is predictable from the independent variables.

• Adjusted r2 is a modified version of r2 that adjusts for the number of predictors in the model, providing a more accurate assessment of the model's goodness of fit.

• r2 always increases when adding more...read more