10+ Crif Solutions Interview Questions and Answers

Linear regression is used for predicting continuous values, while logistic regression is used for predicting binary outcomes.

• Linear regression is used when the target variable is continuous and has a linear relationship with the independent variables.

• Logistic regression is used when the target variable is binary or categorical and the relationship between independent variables and the target is non-linear.

• Linear regression predicts the value of a continuous outcome variable b...read more

Logistic Regression is a statistical method used to model the probability of a certain event occurring based on one or more predictor variables. Recall is a metric used to evaluate the performance of a classification model.

• Logistic Regression is used for binary classification tasks, where the outcome variable is categorical and has two classes.

• It estimates the probability that a given input belongs to a certain category.

• Recall, also known as sensitivity, is the ratio of true ...read more

Performance metrics of Regression include Mean Squared Error, R-squared, Mean Absolute Error, etc.

• Mean Squared Error (MSE)

• R-squared (R^2)

• Mean Absolute Error (MAE)

• Root Mean Squared Error (RMSE)

• Adjusted R-squared

Recall is a metric used in classification models to measure the ability of the model to find all relevant cases within a dataset.

• Recall is calculated as the number of true positive predictions divided by the sum of true positive and false negative predictions.

• It is also known as sensitivity or true positive rate.

• A high recall indicates that the model is good at identifying all relevant cases, even if it means more false positives.

• For example, in a medical diagnosis model, hig...read more

Confidence interval is a range of values that is likely to contain the true population parameter with a certain level of confidence.

• Confidence interval is used to estimate the population parameter based on a sample statistic.

• It is calculated by taking the sample mean and adding or subtracting the margin of error.

• The level of confidence is typically set at 95% or 99%.

• For example, a 95% confidence interval for the average height of a population might be 65-75 inches.

• The wider t...read more

Academic projects are assignments given to students to apply their theoretical knowledge in practical scenarios.

• Academic projects are designed to help students gain hands-on experience in their field of study.

• They require students to apply their theoretical knowledge to solve real-world problems.

• Examples of academic projects include building a website, designing a software application, conducting a research study, or creating a prototype of a product.

• Academic projects often i...read more

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 to predict the probability of a binary outcome (0 or 1).

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

• It is commonly used in machine learning for classification problems.

• Example: predicting whether a customer will buy a product or not based on their age, gender, income, etc.

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

• It helps in calculating various metrics like accuracy, precision, recall, F1 score, etc.

• It compares the predicted values with the actual values to identify true positives, true negatives, false positives, and false negatives.

• It is commonly used in machine learning and data science to evaluate the performance of classification models.

• Example: In a binary classification problem, a confusion m...read more

I would analyze the reasons for the failure and try to address them in my next attempt.

• I would ask for feedback from the banker to understand their concerns.

• I would research and gather more information to strengthen my argument.

• I would try to build a relationship with the banker to gain their trust.

• I would explore alternative options and present them to the banker.

• I would seek advice from colleagues or mentors to improve my approach.

• I would remain persistent and continue to f...read more

Defect life cycle is the process of identifying, reporting, fixing, and verifying defects in software development.

• Defect is identified by testers during testing

• Defect is reported to the development team

• Development team fixes the defect

• Fixed defect is verified by testers

• Defect is closed if it passes verification

• If defect fails verification, it is reopened and the cycle continues

ECP stands for Equivalence Class Partitioning and BVA stands for Boundary Value Analysis.

• ECP is a testing technique that divides input data into groups that are expected to exhibit similar behavior.

• BVA is a testing technique that focuses on testing values at the boundaries of input domains.

• ECP and BVA are used to identify defects in software and improve the quality of testing.

• For example, if a program accepts input values between 1 and 100, BVA would test values at the lower ...read more