MCQ IN COMPUTER SCIENCE & ENGINEERING

Detailed explanation-1: -Predictive analytics is the process of using data analytics to make predictions based on data. This process uses data along with analysis, statistics, and machine learning techniques to create a predictive model for forecasting future events.

Detailed explanation-2: -Predictive modeling is a commonly used statistical technique to predict future behavior. Predictive modeling solutions are a form of data-mining technology that works by analyzing historical and current data and generating a model to help predict future outcomes.

Detailed explanation-3: -Predictive analytics is a category of data analytics aimed at making predictions about future outcomes based on historical data and analytics techniques such as statistical modeling and machine learning. The science of predictive analytics can generate future insights with a significant degree of precision.

Detailed explanation-4: -Three of the most widely used predictive modeling techniques are decision trees, regression and neural networks.

Detailed explanation-5: -Statistical techniques used for prediction include regression analysis and its various sub-categories such as linear regression, generalized linear models (logistic regression, Poisson regression, Probit regression), etc.