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This model throws RMSE = 1132.04 which is not an enhancement around selection tree product. Random forest provides a function of presenting the essential variables. We see that The most crucial variable is Item_MRP (also proven by decision tree algorithm).
We did just one very hot encoding and label encoding. That’s not required considering that linear regression take care of categorical variables by generating dummy variables intrinsically.
On this manual all commands are offered in code boxes, exactly where the R code is printed in black, the remark text in blue plus the output produced by R in inexperienced. All feedback/explanations begin with the conventional remark sign '#' to circumvent them from currently being interpreted by R as instructions.
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