Arthur D. Little Senior Business Analyst Interview Questions and Answers

R squared measures the proportion of variance in the dependent variable explained by the independent variable, while p-value measures the significance of the independent variable's effect on the dependent variable.

• R squared ranges from 0 to 1, with higher values indicating a better fit of the regression line to the data.

• P-value measures the probability of observing a test statistic as extreme as the one computed from t...read more

Underfitting occurs when a model is too simple to capture the complexity of the data. Overfitting occurs when a model is too complex and fits the noise in the data.

• Underfitting occurs when the model is not able to capture the underlying trend of the data.

• Overfitting occurs when the model is too complex and fits the noise in the data.

• To overcome underfitting, we can increase the complexity of the model by adding more fe...read more

Confusion matrix is a table used to evaluate the performance of a classification model. Accuracy of Random Forest is calculated using the confusion matrix.

• Confusion matrix is a table with rows representing the actual class and columns representing the predicted class.

• It helps in evaluating the performance of a classification model by showing the number of true positives, true negatives, false positives, and false negat...read more

Random forest is an ensemble learning method that builds multiple decision trees and combines their outputs. XG Boost is a gradient boosting algorithm that uses decision trees as base learners.

• Random forest reduces overfitting by averaging multiple decision trees.

• XG Boost uses gradient boosting to improve model performance.

• Random forest is less prone to overfitting than XG Boost.

• XG Boost is faster and more scalable tha...read more