Running experiments with the package is very easy. There is even a top-level function that does a series of experiments. It only needs required inputs and parametrizations. Rest of it is quite automatic and convenient. In this example, we will cluster pricing errors using different K-Means parametrizations.
Step 1 - Save input parameters Excel File
Just download the input_parameters.xlsx file from this github repository to a folder of your choice. But, remember your choice because we are going to use it.
Step 2 - Run the code
Run the code given in the gist changing the
Step 3 - See the results
Your output should be something similar to the figure below.
What is next?
Congratulations, you have made this far! Now, you can meddle with the function, try different data sets and data mining methods. See other sections of this tutorial for further information.
You can see different parameter values of the
run_full_experiment function by writing
?run_full_experiment to the R console. The help file will appear with the detailed information about the function and its parameters.