Question

What is the different between predictive analytic models (Case Based Reasoning, Neural Network, Support Vector Machine, etc.)?​

Answer 1

Answer:

Predictive modeling is a mathematical process that seeks to predict future events or outcomes by analyzing different patterns. The goal of predictive modeling is to answer this question: “What is most likely to happen in the future based on the data about past events I have”?

The difference is that predictive analytics most often refers to commercial applications of predictive modeling, while predictive modeling is used more generally or academically.

Explanation:

Answer 2

Answer:

Ans:- Both machine learning and predictive analytics are used to make predictions on a set of data about the future. Predictive analytics uses predictive modelling, which can include machine learning. Predictive analytics has a very specific purpose: to use historical data to predict the likelihood of a future outcome.