Genpact Interview Questions and Answers

Accuracy of document classification can be measured using metrics like precision, recall, F1 score, and confusion matrix.

• Precision measures the proportion of true positives among all predicted positives.

• Recall measures the proportion of true positives among all actual positives.

• F1 score is the harmonic mean of precision and recall.

• Confusion matrix shows the number of true positives, true negatives, false positives, and false negatives.

• Accuracy can also be measured using metri...read more

MLE is a method used to estimate the parameters of a logistic regression model.

• MLE stands for Maximum Likelihood Estimation

• It is used to estimate the parameters of a logistic regression model

• The goal is to find the values of the parameters that maximize the likelihood of observing the data

• The likelihood function is the product of the probabilities of observing each data point given the model parameters

• The optimization problem is solved using numerical methods such as gradient...read more

Similarity score measures the degree of similarity between two documents or words.

• Similarity score can be calculated using various techniques such as cosine similarity, Jaccard similarity, and Euclidean distance.

• Cosine similarity measures the cosine of the angle between two vectors, while Jaccard similarity measures the intersection over union of two sets.

• Euclidean distance measures the distance between two points in a multidimensional space.

• Similarity score can be useful in ...read more

Assumptions of logistic regression

• Dependent variable is binary

• Linear relationship between independent and log odds

• No multicollinearity among independent variables

• No outliers or influential observations

• Large sample size

Logistic regression is a statistical method used to analyze and model the relationship between a binary dependent variable and one or more independent variables.

• It is used for classification problems where the dependent variable is binary

• It estimates the probability of an event occurring based on the input variables

• It uses a sigmoid function to map the input values to a probability score

• It is a linear model that uses maximum likelihood estimation to find the coefficients

• It ca...read more

Explode function in Python is used to split a string into a list of strings based on a specified delimiter.

• Use the explode function from the pandas library to split a string column into multiple rows in a DataFrame.

• Specify the delimiter parameter to define how the string should be split.

• For example, df['column'].str.split('delimiter').explode() will split the strings in 'column' based on 'delimiter' and create a new row for each element.