Reference no: EM133999061
Change Management Communication Plan
Question: Prepare a summary table with each method used and the misclassification rate on the validation partition. Which model is the champion, having the lowest misclassification on the validation partition? No AI shortcuts — Get genuine assignment help from experienced, real tutors.
Discuss any observations you have on the results. Were there any changes in the results for the neural network with the different parameter settings? Did all the models come up with the same variables as the ones found to be predictive? Were there any differences in the various regression methods?
Next, create a new project as done before, with the same data set. This time, set the training partition = 60, the validation partition = 40, and keep the test partition again equal to zero. By increasing the relative size of the training partition, we increase the amount of data available for training but still have enough data so that (hopefully) overfitting will not be a problem.
Except for the data exploration node, rebuild your pipeline in the new project just as you did before and execute it.
Which model is the champion here? Compare the two champions of the two different data partitions - are they the same method? How do the misclassification rates for the two different partition functions compare? Are any trends noticeable?