Employees Salary Prediction Using Linear Regression - KNIME ANALYTICS PLATFORM
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 ...








Comments
Post a Comment