govinddixit / bluff-detector

Bluff Detector

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

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.

Plots

• Plot of Salary vs position level using simple linear regression

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• Plot of Salary vs position level using polynomial linear regression

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• Plot of Salary vs position level using polynomial linear regression and high precision

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• Plot of Salary vs position level using decision tree

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• Plot of Salary vs position level using random forest with 10 decision tree

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• Plot of Salary vs position level using random forest with 100 decision tree

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• Plot of Salary vs position level using random forest with 300 decision tree