A Bluff Detector machine learning model based on Polynomial Linear Regression. It can be used to identify the bluff which a new employee can made on his past job salary. The model in input takes an experience level and predict the right salary for a given experience / position level.
Dataset consists of 10 entries of the employees salaries based on their experience/position level.
Linear Regression is a machine learning algorithm based on supervised learning. It performs a regression task. Regression models a target prediction value based on independent variables. It is mostly used for finding out the relationship between variables and forecasting. Different regression models differ based on – the kind of relationship between dependent and independent variables, they are considering and the number of independent variables being used.
- Plot of Salary vs position level using simple linear regression
- Plot of Salary vs position level using polynomial linear regression
- Plot of Salary vs position level using polynomial linear regression and high precision
- Plot of Salary vs position level using decision tree
- Plot of Salary vs position level using random forest with 10 decision tree
- Plot of Salary vs position level using random forest with 100 decision tree
- Plot of Salary vs position level using random forest with 300 decision tree
