Employees Salary Prediction Using Linear Regression - KNIME ANALYTICS PLATFORM

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Here I will be using the KNIME to forecast the employee's salaries with respect to their year of experience by training and testing data in ML using Linear Regression.


Step 1: Reading the data set with KNINE - File Reader Node 1

                                       


Step 2: Adding the data filter node to remove the Null Values



Setting up the pattern match to N/A


Step 3: Adding Node 2.1 Partitioning for Data sorting to Train & Test for Machine learning Algo.

Here we set 70% of total data to Train & 30% to Test



Step 4: Training data for linear regression



Note: After training the data, we have concluded that our model shows ~95% Accuracy, as we have selected the Random samples from the training data to maintain the efficiency of the model.




Step 5: Adding the Linear Regression Node run Trained & Test Data


Step 6: Once we have trained and tested data, we have got the predicted output





































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